2025-09-07T06:18:15.0577070Z Current runner version: '2.328.0'
2025-09-07T06:18:15.0580390Z Runner name: 'i-09537b716852f8064'
2025-09-07T06:18:15.0580810Z Runner group name: 'default'
2025-09-07T06:18:15.0581300Z Machine name: 'ip-10-0-1-185'
2025-09-07T06:18:15.0582750Z ##[group]GITHUB_TOKEN Permissions
2025-09-07T06:18:15.0583920Z Contents: read
2025-09-07T06:18:15.0584240Z Metadata: read
2025-09-07T06:18:15.0584550Z ##[endgroup]
2025-09-07T06:18:15.0585680Z Secret source: Actions
2025-09-07T06:18:15.0586060Z Prepare workflow directory
2025-09-07T06:18:16.0950700Z Prepare all required actions
2025-09-07T06:18:16.0977350Z Getting action download info
2025-09-07T06:18:16.2572230Z Download action repository 'pytorch/test-infra@main' (SHA:548a4bc624d43a01cdf165a63b041f0ae014ddbd)
2025-09-07T06:18:16.8813630Z Download action repository 'pytorch/pytorch@main' (SHA:93fb23d6fae7c4e82c4239a1033e522088742634)
2025-09-07T06:18:21.7927800Z Getting action download info
2025-09-07T06:18:21.9632010Z Download action repository 'actions/checkout@v4' (SHA:08eba0b27e820071cde6df949e0beb9ba4906955)
2025-09-07T06:18:22.2513120Z Getting action download info
2025-09-07T06:18:22.4045320Z Uses: pytorch/pytorch/.github/workflows/_mac-test.yml@refs/heads/main (93fb23d6fae7c4e82c4239a1033e522088742634)
2025-09-07T06:18:22.4048520Z ##[group] Inputs
2025-09-07T06:18:22.4048770Z   build-environment: macos-py3-arm64
2025-09-07T06:18:22.4049950Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}
2025-09-07T06:18:22.4051070Z   sync-tag: 
2025-09-07T06:18:22.4051280Z   python-version: 3.12.7
2025-09-07T06:18:22.4051950Z   timeout-minutes: 270
2025-09-07T06:18:22.4052390Z   disable-monitor: false
2025-09-07T06:18:22.4052630Z   monitor-log-interval: 5
2025-09-07T06:18:22.4052900Z   monitor-data-collect-interval: 1
2025-09-07T06:18:22.4053190Z ##[endgroup]
2025-09-07T06:18:22.4053510Z Complete job name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-09-07T06:18:22.4351740Z ##[group]Run sysctl machdep.cpu.brand_string kern.osproductversion
2025-09-07T06:18:22.4352150Z sysctl machdep.cpu.brand_string kern.osproductversion
2025-09-07T06:18:22.4386500Z shell: /bin/bash -e -l {0}
2025-09-07T06:18:22.4386780Z env:
2025-09-07T06:18:22.4386900Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:18:22.4387060Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:18:22.4387240Z   TEST_CONFIG: default
2025-09-07T06:18:22.4387370Z   SHARD_NUMBER: 1
2025-09-07T06:18:22.4387490Z   NUM_TEST_SHARDS: 3
2025-09-07T06:18:22.4387610Z   PR_BODY: 
2025-09-07T06:18:22.4387730Z ##[endgroup]
2025-09-07T06:18:23.4861830Z machdep.cpu.brand_string: Apple M1
2025-09-07T06:18:23.4862100Z kern.osproductversion: 14.4.1
2025-09-07T06:18:23.4906370Z ##[group]Run for PROCESS in "python" "conda" "ninja" "clang"; do
2025-09-07T06:18:23.4906690Z for PROCESS in "python" "conda" "ninja" "clang"; do
2025-09-07T06:18:23.4906980Z   echo "Cleaning up all remaining ${PROCESS} process"
2025-09-07T06:18:23.4907210Z   pkill "${PROCESS}" || true
2025-09-07T06:18:23.4907380Z done
2025-09-07T06:18:23.4922490Z shell: /bin/bash -e -l {0}
2025-09-07T06:18:23.4922650Z env:
2025-09-07T06:18:23.4922780Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:18:23.4922950Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:18:23.4923130Z   TEST_CONFIG: default
2025-09-07T06:18:23.4923280Z   SHARD_NUMBER: 1
2025-09-07T06:18:23.4923410Z   NUM_TEST_SHARDS: 3
2025-09-07T06:18:23.4923560Z   PR_BODY: 
2025-09-07T06:18:23.4923690Z ##[endgroup]
2025-09-07T06:18:24.0950810Z Cleaning up all remaining python process
2025-09-07T06:18:24.1011320Z Cleaning up all remaining conda process
2025-09-07T06:18:24.1051620Z Cleaning up all remaining ninja process
2025-09-07T06:18:24.1091000Z Cleaning up all remaining clang process
2025-09-07T06:18:24.1150650Z ##[group]Run if brew list miniconda; then
2025-09-07T06:18:24.1150940Z if brew list miniconda; then
2025-09-07T06:18:24.1151150Z   brew uninstall miniconda
2025-09-07T06:18:24.1151390Z   echo "REINSTALL_BREW_MINICONDA=1" >> "${GITHUB_ENV}"
2025-09-07T06:18:24.1151630Z fi
2025-09-07T06:18:24.1167690Z shell: /bin/bash -e -l {0}
2025-09-07T06:18:24.1167850Z env:
2025-09-07T06:18:24.1167970Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:18:24.1168150Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:18:24.1168350Z   TEST_CONFIG: default
2025-09-07T06:18:24.1168520Z   SHARD_NUMBER: 1
2025-09-07T06:18:24.1168650Z   NUM_TEST_SHARDS: 3
2025-09-07T06:18:24.1168800Z   PR_BODY: 
2025-09-07T06:18:24.1168920Z ##[endgroup]
2025-09-07T06:18:26.1703960Z /opt/homebrew/Caskroom/miniconda/.metadata/INSTALL_RECEIPT.json
2025-09-07T06:18:26.1704340Z /opt/homebrew/Caskroom/miniconda/.metadata/config.json
2025-09-07T06:18:26.1704850Z /opt/homebrew/Caskroom/miniconda/.metadata/py313_25.7.0-2/20250907024151.780/Casks/miniconda.rb
2025-09-07T06:18:26.1705330Z /opt/homebrew/Caskroom/miniconda/py313_25.7.0-2/Miniconda3-py313_25.7.0-2-MacOSX-arm64.sh
2025-09-07T06:18:26.1705790Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_recursion_limit.3
2025-09-07T06:18:26.1706960Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2syntax.3
2025-09-07T06:18:26.1707300Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2jit.3
2025-09-07T06:18:26.1707600Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2demo.3
2025-09-07T06:18:26.1708960Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_offset_limit.3
2025-09-07T06:18:26.1709380Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_context_create.3
2025-09-07T06:18:26.1709740Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2serialize.3
2025-09-07T06:18:26.1710380Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_bsr.3
2025-09-07T06:18:26.1710800Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2unicode.3
2025-09-07T06:18:26.1711490Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_get_bynumber.3
2025-09-07T06:18:26.1712180Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_copy_byname.3
2025-09-07T06:18:26.1712740Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2api.3
2025-09-07T06:18:26.1713630Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_parens_nest_limit.3
2025-09-07T06:18:26.1714270Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_startchar.3
2025-09-07T06:18:26.1714790Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2limits.3
2025-09-07T06:18:26.1715740Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_recursion_memory_management.3
2025-09-07T06:18:26.1716330Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_newline.3
2025-09-07T06:18:26.1717010Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_depth_limit.3
2025-09-07T06:18:26.1717690Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_data_free.3
2025-09-07T06:18:26.1718630Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile_context_free.3
2025-09-07T06:18:26.1719320Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_max_pattern_length.3
2025-09-07T06:18:26.1720130Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2matching.3
2025-09-07T06:18:26.1720560Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_stack_free.3
2025-09-07T06:18:26.1721410Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_callout.3
2025-09-07T06:18:26.1721990Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_code_copy_with_tables.3
2025-09-07T06:18:26.1722840Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_glob_escape.3
2025-09-07T06:18:26.1723530Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_compile_extra_options.3
2025-09-07T06:18:26.1724110Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2.3
2025-09-07T06:18:26.1724610Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2perform.3
2025-09-07T06:18:26.1726070Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_pattern_info.3
2025-09-07T06:18:26.1726500Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_substitute_callout.3
2025-09-07T06:18:26.1726930Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_stack_create.3
2025-09-07T06:18:26.1727580Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2build.3
2025-09-07T06:18:26.1728250Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_length_byname.3
2025-09-07T06:18:26.1729030Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_free.3
2025-09-07T06:18:26.1729510Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_dfa_match.3
2025-09-07T06:18:26.1730230Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2convert.3
2025-09-07T06:18:26.1730740Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_match.3
2025-09-07T06:18:26.1731670Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_nametable_scan.3
2025-09-07T06:18:26.1732110Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match.3
2025-09-07T06:18:26.1733060Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_converted_pattern_free.3
2025-09-07T06:18:26.1733680Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_heap_limit.3
2025-09-07T06:18:26.1734730Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_number_from_name.3
2025-09-07T06:18:26.1735550Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_pattern_convert.3
2025-09-07T06:18:26.1736340Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_maketables.3
2025-09-07T06:18:26.1737460Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_context_free.3
2025-09-07T06:18:26.1738450Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_code_free.3
2025-09-07T06:18:26.1739100Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_compile.3
2025-09-07T06:18:26.1739860Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile.3
2025-09-07T06:18:26.1740780Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_ovector_pointer.3
2025-09-07T06:18:26.1741630Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_list_get.3
2025-09-07T06:18:26.1742610Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_general_context_free.3
2025-09-07T06:18:26.1743560Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_match_data_size.3
2025-09-07T06:18:26.1744560Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_convert_context_copy.3
2025-09-07T06:18:26.1745380Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_character_tables.3
2025-09-07T06:18:26.1746350Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_error_message.3
2025-09-07T06:18:26.1747380Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile_context_create.3
2025-09-07T06:18:26.1748360Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_glob_separator.3
2025-09-07T06:18:26.1749250Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_maketables_free.3
2025-09-07T06:18:26.1750310Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_convert_context_free.3
2025-09-07T06:18:26.1751120Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_decode.3
2025-09-07T06:18:26.1752080Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_general_context_copy.3
2025-09-07T06:18:26.1752960Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_code_copy.3
2025-09-07T06:18:26.1753720Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2compat.3
2025-09-07T06:18:26.1754940Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_data_create_from_pattern.3
2025-09-07T06:18:26.1755860Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_match_limit.3
2025-09-07T06:18:26.1756870Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_context_copy.3
2025-09-07T06:18:26.1757780Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_encode.3
2025-09-07T06:18:26.1758630Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substitute.3
2025-09-07T06:18:26.1759590Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_ovector_count.3
2025-09-07T06:18:26.1760620Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_get_mark.3
2025-09-07T06:18:26.1761370Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_stack_assign.3
2025-09-07T06:18:26.1762310Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_list_free.3
2025-09-07T06:18:26.1763240Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2callout.3
2025-09-07T06:18:26.1764160Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_match_data_create.3
2025-09-07T06:18:26.1765210Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_get_byname.3
2025-09-07T06:18:26.1766290Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_copy_bynumber.3
2025-09-07T06:18:26.1767030Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2sample.3
2025-09-07T06:18:26.1768100Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_length_bynumber.3
2025-09-07T06:18:26.1768800Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2partial.3
2025-09-07T06:18:26.1769600Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2posix.3
2025-09-07T06:18:26.1770620Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_convert_context_create.3
2025-09-07T06:18:26.1771730Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_compile_context_copy.3
2025-09-07T06:18:26.1772480Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_config.3
2025-09-07T06:18:26.1773580Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_set_compile_recursion_guard.3
2025-09-07T06:18:26.1774760Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_serialize_get_number_of_codes.3
2025-09-07T06:18:26.1775780Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_general_context_create.3
2025-09-07T06:18:26.1776770Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_jit_free_unused_memory.3
2025-09-07T06:18:26.1777710Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_callout_enumerate.3
2025-09-07T06:18:26.1778600Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2_substring_free.3
2025-09-07T06:18:26.1779390Z /opt/homebrew/Caskroom/miniconda/base/man/man3/pcre2pattern.3
2025-09-07T06:18:26.1780140Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzegrep.1
2025-09-07T06:18:26.1780850Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzmore.1
2025-09-07T06:18:26.1781650Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzdiff.1
2025-09-07T06:18:26.1782420Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzfgrep.1
2025-09-07T06:18:26.1783110Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzip2.1
2025-09-07T06:18:26.1783880Z /opt/homebrew/Caskroom/miniconda/base/man/man1/pcre2grep.1
2025-09-07T06:18:26.1784560Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzcmp.1
2025-09-07T06:18:26.1785370Z /opt/homebrew/Caskroom/miniconda/base/man/man1/pcre2test.1
2025-09-07T06:18:26.1786070Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzgrep.1
2025-09-07T06:18:26.1786940Z /opt/homebrew/Caskroom/miniconda/base/man/man1/pcre2-config.1
2025-09-07T06:18:26.1787640Z /opt/homebrew/Caskroom/miniconda/base/man/man1/bzless.1
2025-09-07T06:18:26.1788980Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/conda-libmamba-solver-25.4.0-pyhd3eb1b0_0.json
2025-09-07T06:18:26.1790020Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/pygments-2.19.1-py313hca03da5_0.json
2025-09-07T06:18:26.1791150Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/nlohmann_json-3.11.2-h313beb8_0.json
2025-09-07T06:18:26.1792200Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/pkce-1.0.3-py313hca03da5_0.json
2025-09-07T06:18:26.1793400Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/python-dotenv-1.1.0-py313hca03da5_0.json
2025-09-07T06:18:26.1794270Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/fmt-9.1.0-h48ca7d4_1.json
2025-09-07T06:18:26.1795480Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/jsonpointer-3.0.0-py313hca03da5_0.json
2025-09-07T06:18:26.1796410Z /opt/homebrew/Caskroom/miniconda/base/conda-meta/tzdata-2025b-h04d1e81_0.json
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2025-09-07T06:18:26.2081320Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlsave.h
2025-09-07T06:18:26.2082580Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlstring.h
2025-09-07T06:18:26.2083670Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xpath.h
2025-09-07T06:18:26.2084810Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/valid.h
2025-09-07T06:18:26.2085810Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlschemastypes.h
2025-09-07T06:18:26.2086920Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/c14n.h
2025-09-07T06:18:26.2087890Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlmodule.h
2025-09-07T06:18:26.2088700Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/relaxng.h
2025-09-07T06:18:26.2089570Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/nanohttp.h
2025-09-07T06:18:26.2090550Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlunicode.h
2025-09-07T06:18:26.2091560Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlwriter.h
2025-09-07T06:18:26.2092670Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlmemory.h
2025-09-07T06:18:26.2093540Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xpathInternals.h
2025-09-07T06:18:26.2094630Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/nanoftp.h
2025-09-07T06:18:26.2095500Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/hash.h
2025-09-07T06:18:26.2096500Z /opt/homebrew/Caskroom/miniconda/base/include/libxml2/libxml/xmlschemas.h
2025-09-07T06:18:26.2097470Z /opt/homebrew/Caskroom/miniconda/base/include/nghttp2/nghttp2ver.h
2025-09-07T06:18:26.2098750Z /opt/homebrew/Caskroom/miniconda/base/include/nghttp2/nghttp2.h
2025-09-07T06:18:26.2099460Z /opt/homebrew/Caskroom/miniconda/base/include/pqStubs.h
2025-09-07T06:18:26.2100090Z /opt/homebrew/Caskroom/miniconda/base/include/tclOODecls.h
2025-09-07T06:18:26.2100880Z /opt/homebrew/Caskroom/miniconda/base/include/zdict.h
2025-09-07T06:18:26.2101830Z /opt/homebrew/Caskroom/miniconda/base/include/cursesf.h
2025-09-07T06:18:26.2102500Z /opt/homebrew/Caskroom/miniconda/base/include/itclTclIntStubsFcn.h
2025-09-07T06:18:26.2103410Z /opt/homebrew/Caskroom/miniconda/base/include/ares_version.h
2025-09-07T06:18:26.2104420Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/termcap.h
2025-09-07T06:18:26.2105280Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesp.h
2025-09-07T06:18:26.2106170Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesf.h
2025-09-07T06:18:26.2107000Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/etip.h
2025-09-07T06:18:26.2107940Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/form.h
2025-09-07T06:18:26.2108780Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesw.h
2025-09-07T06:18:26.2109620Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/unctrl.h
2025-09-07T06:18:26.2110800Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesapp.h
2025-09-07T06:18:26.2111660Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/term.h
2025-09-07T06:18:26.2112820Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursslk.h
2025-09-07T06:18:26.2113840Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/panel.h
2025-09-07T06:18:26.2114800Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/ncurses.h
2025-09-07T06:18:26.2115620Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/eti.h
2025-09-07T06:18:26.2116680Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/ncurses_dll.h
2025-09-07T06:18:26.2117630Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/term_entry.h
2025-09-07T06:18:26.2118620Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/menu.h
2025-09-07T06:18:26.2119500Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/cursesm.h
2025-09-07T06:18:26.2120420Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses/curses.h
2025-09-07T06:18:26.2121090Z /opt/homebrew/Caskroom/miniconda/base/include/tclPort.h
2025-09-07T06:18:26.2121670Z /opt/homebrew/Caskroom/miniconda/base/include/etip.h
2025-09-07T06:18:26.2122410Z /opt/homebrew/Caskroom/miniconda/base/include/tkDList.h
2025-09-07T06:18:26.2122850Z /opt/homebrew/Caskroom/miniconda/base/include/itclIntDecls.h
2025-09-07T06:18:26.2123680Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXFont.h
2025-09-07T06:18:26.2124050Z /opt/homebrew/Caskroom/miniconda/base/include/tkUnixInt.h
2025-09-07T06:18:26.2124650Z /opt/homebrew/Caskroom/miniconda/base/include/test_data.hpp
2025-09-07T06:18:26.2125670Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/translit.h
2025-09-07T06:18:26.2126330Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustdio.h
2025-09-07T06:18:26.2126640Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf_old.h
2025-09-07T06:18:26.2127490Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucsdet.h
2025-09-07T06:18:26.2128310Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tzfmt.h
2025-09-07T06:18:26.2128610Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ubrk.h
2025-09-07T06:18:26.2129110Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ufieldpositer.h
2025-09-07T06:18:26.2129910Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/localematcher.h
2025-09-07T06:18:26.2130430Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stringpiece.h
2025-09-07T06:18:26.2130990Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucat.h
2025-09-07T06:18:26.2131780Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tblcoll.h
2025-09-07T06:18:26.2132350Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stringoptions.h
2025-09-07T06:18:26.2132960Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtfmtsym.h
2025-09-07T06:18:26.2133550Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unirepl.h
2025-09-07T06:18:26.2134150Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ptypes.h
2025-09-07T06:18:26.2134780Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/fmtable.h
2025-09-07T06:18:26.2135420Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtitvfmt.h
2025-09-07T06:18:26.2136090Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/choicfmt.h
2025-09-07T06:18:26.2136870Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumberrangeformatter.h
2025-09-07T06:18:26.2137600Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numberrangeformatter.h
2025-09-07T06:18:26.2138200Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usetiter.h
2025-09-07T06:18:26.2138950Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/errorcode.h
2025-09-07T06:18:26.2139480Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tznames.h
2025-09-07T06:18:26.2140120Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtintrv.h
2025-09-07T06:18:26.2140950Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usimplenumberformatter.h
2025-09-07T06:18:26.2141460Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucurr.h
2025-09-07T06:18:26.2142070Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/icuplug.h
2025-09-07T06:18:26.2142700Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uregion.h
2025-09-07T06:18:26.2143470Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utext.h
2025-09-07T06:18:26.2143910Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/edits.h
2025-09-07T06:18:26.2144760Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/parsepos.h
2025-09-07T06:18:26.2145170Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucal.h
2025-09-07T06:18:26.2145790Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/fpositer.h
2025-09-07T06:18:26.2146440Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtitvinf.h
2025-09-07T06:18:26.2147010Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rbnf.h
2025-09-07T06:18:26.2147590Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udat.h
2025-09-07T06:18:26.2148340Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/urep.h
2025-09-07T06:18:26.2148800Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf32.h
2025-09-07T06:18:26.2149410Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/vtzone.h
2025-09-07T06:18:26.2150040Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustring.h
2025-09-07T06:18:26.2150770Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ubiditransform.h
2025-09-07T06:18:26.2151330Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uenum.h
2025-09-07T06:18:26.2152070Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umutablecptrie.h
2025-09-07T06:18:26.2152690Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/appendable.h
2025-09-07T06:18:26.2153320Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usearch.h
2025-09-07T06:18:26.2153930Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numsys.h
2025-09-07T06:18:26.2154680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/timezone.h
2025-09-07T06:18:26.2155260Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uset.h
2025-09-07T06:18:26.2155780Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/casemap.h
2025-09-07T06:18:26.2156390Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/coleitr.h
2025-09-07T06:18:26.2157130Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/schriter.h
2025-09-07T06:18:26.2157640Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/msgfmt.h
2025-09-07T06:18:26.2158250Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/fieldpos.h
2025-09-07T06:18:26.2158950Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/simpletz.h
2025-09-07T06:18:26.2167510Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucpmap.h
2025-09-07T06:18:26.2167860Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uldnames.h
2025-09-07T06:18:26.2168220Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumberformatter.h
2025-09-07T06:18:26.2168550Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uiter.h
2025-09-07T06:18:26.2168850Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umsg.h
2025-09-07T06:18:26.2169160Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/sortkey.h
2025-09-07T06:18:26.2169520Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/simplenumberformatter.h
2025-09-07T06:18:26.2169880Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/docmain.h
2025-09-07T06:18:26.2170190Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uniset.h
2025-09-07T06:18:26.2170500Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/basictz.h
2025-09-07T06:18:26.2170800Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udata.h
2025-09-07T06:18:26.2171140Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stringtriebuilder.h
2025-09-07T06:18:26.2171490Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/chariter.h
2025-09-07T06:18:26.2171790Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umisc.h
2025-09-07T06:18:26.2172120Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/reldatefmt.h
2025-09-07T06:18:26.2172440Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uloc.h
2025-09-07T06:18:26.2172740Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/plurrule.h
2025-09-07T06:18:26.2173080Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uformattednumber.h
2025-09-07T06:18:26.2173450Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/bytestriebuilder.h
2025-09-07T06:18:26.2173790Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/measunit.h
2025-09-07T06:18:26.2174110Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utrace.h
2025-09-07T06:18:26.2174420Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/locdspnm.h
2025-09-07T06:18:26.2174730Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/gregocal.h
2025-09-07T06:18:26.2175050Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uchriter.h
2025-09-07T06:18:26.2175360Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/enumset.h
2025-09-07T06:18:26.2175850Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/nounit.h
2025-09-07T06:18:26.2176550Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf.h
2025-09-07T06:18:26.2177520Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/measure.h
2025-09-07T06:18:26.2178200Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tzrule.h
2025-09-07T06:18:26.2179060Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/strenum.h
2025-09-07T06:18:26.2179890Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/regex.h
2025-09-07T06:18:26.2180660Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/gender.h
2025-09-07T06:18:26.2181510Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dcfmtsym.h
2025-09-07T06:18:26.2182250Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnv_err.h
2025-09-07T06:18:26.2183060Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/decimfmt.h
2025-09-07T06:18:26.2183800Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/bytestrie.h
2025-09-07T06:18:26.2184560Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udatpg.h
2025-09-07T06:18:26.2185400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/listformatter.h
2025-09-07T06:18:26.2186160Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uobject.h
2025-09-07T06:18:26.2186960Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/calendar.h
2025-09-07T06:18:26.2187900Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ures.h
2025-09-07T06:18:26.2188680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/normlzr.h
2025-09-07T06:18:26.2189580Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/usprep.h
2025-09-07T06:18:26.2190400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/urename.h
2025-09-07T06:18:26.2191120Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/caniter.h
2025-09-07T06:18:26.2191790Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucol.h
2025-09-07T06:18:26.2192690Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/upluralrules.h
2025-09-07T06:18:26.2193630Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucharstrie.h
2025-09-07T06:18:26.2194330Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tmunit.h
2025-09-07T06:18:26.2195130Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unistr.h
2025-09-07T06:18:26.2195940Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rbbi.h
2025-09-07T06:18:26.2196940Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ulocdata.h
2025-09-07T06:18:26.2198190Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/idna.h
2025-09-07T06:18:26.2199000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unorm2.h
2025-09-07T06:18:26.2199770Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/localebuilder.h
2025-09-07T06:18:26.2200660Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtptngen.h
2025-09-07T06:18:26.2201350Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dbbi.h
2025-09-07T06:18:26.2202230Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/bytestream.h
2025-09-07T06:18:26.2203000Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uversion.h
2025-09-07T06:18:26.2203970Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/messagepattern.h
2025-09-07T06:18:26.2204670Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uidna.h
2025-09-07T06:18:26.2205540Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/filteredbrk.h
2025-09-07T06:18:26.2206240Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tmutamt.h
2025-09-07T06:18:26.2207180Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/char16ptr.h
2025-09-07T06:18:26.2208250Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uformattedvalue.h
2025-09-07T06:18:26.2209050Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/symtable.h
2025-09-07T06:18:26.2209860Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucasemap.h
2025-09-07T06:18:26.2210720Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucoleitr.h
2025-09-07T06:18:26.2211740Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/compactdecimalformat.h
2025-09-07T06:18:26.2212400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unum.h
2025-09-07T06:18:26.2213410Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udisplaycontext.h
2025-09-07T06:18:26.2214340Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tztrans.h
2025-09-07T06:18:26.2215160Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/umachine.h
2025-09-07T06:18:26.2216170Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numberformatter.h
2025-09-07T06:18:26.2217060Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/datefmt.h
2025-09-07T06:18:26.2217890Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utmscale.h
2025-09-07T06:18:26.2218670Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/coll.h
2025-09-07T06:18:26.2219460Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/currpinf.h
2025-09-07T06:18:26.2220220Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uregex.h
2025-09-07T06:18:26.2221040Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/tmutfmt.h
2025-09-07T06:18:26.2221810Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/plurfmt.h
2025-09-07T06:18:26.2222670Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustringtrie.h
2025-09-07T06:18:26.2223630Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/smpdtfmt.h
2025-09-07T06:18:26.2224570Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucptrie.h
2025-09-07T06:18:26.2225560Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udisplayoptions.h
2025-09-07T06:18:26.2226340Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/icudataver.h
2025-09-07T06:18:26.2227180Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uchar.h
2025-09-07T06:18:26.2227990Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unorm.h
2025-09-07T06:18:26.2228870Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ushape.h
2025-09-07T06:18:26.2229690Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unifunct.h
2025-09-07T06:18:26.2230650Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ugender.h
2025-09-07T06:18:26.2231450Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/selfmt.h
2025-09-07T06:18:26.2232310Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uformattable.h
2025-09-07T06:18:26.2233120Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ustream.h
2025-09-07T06:18:26.2234100Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/simpleformatter.h
2025-09-07T06:18:26.2234870Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnv_cb.h
2025-09-07T06:18:26.2235640Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/curramt.h
2025-09-07T06:18:26.2236460Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/locid.h
2025-09-07T06:18:26.2237520Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/udateintervalformat.h
2025-09-07T06:18:26.2238320Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/resbund.h
2025-09-07T06:18:26.2239170Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ubidi.h
2025-09-07T06:18:26.2240010Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/stsearch.h
2025-09-07T06:18:26.2240970Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/alphaindex.h
2025-09-07T06:18:26.2241770Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uvernum.h
2025-09-07T06:18:26.2242660Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unimatch.h
2025-09-07T06:18:26.2243490Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rbtz.h
2025-09-07T06:18:26.2244400Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnvsel.h
2025-09-07T06:18:26.2245270Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uspoof.h
2025-09-07T06:18:26.2246160Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/region.h
2025-09-07T06:18:26.2247140Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ureldatefmt.h
2025-09-07T06:18:26.2247990Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utrans.h
2025-09-07T06:18:26.2248790Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/parseerr.h
2025-09-07T06:18:26.2249570Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/putil.h
2025-09-07T06:18:26.2250420Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/format.h
2025-09-07T06:18:26.2251520Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/scientificnumberformatter.h
2025-09-07T06:18:26.2252370Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/displayoptions.h
2025-09-07T06:18:26.2253250Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/normalizer2.h
2025-09-07T06:18:26.2254060Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/dtrule.h
2025-09-07T06:18:26.2255030Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumberoptions.h
2025-09-07T06:18:26.2255680Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucnv.h
2025-09-07T06:18:26.2256630Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ucharstriebuilder.h
2025-09-07T06:18:26.2257390Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/search.h
2025-09-07T06:18:26.2258330Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unumsys.h
2025-09-07T06:18:26.2259050Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uconfig.h
2025-09-07T06:18:26.2259960Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf16.h
2025-09-07T06:18:26.2260720Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/brkiter.h
2025-09-07T06:18:26.2261730Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/formattedvalue.h
2025-09-07T06:18:26.2262770Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/platform.h
2025-09-07T06:18:26.2263230Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/rep.h
2025-09-07T06:18:26.2264140Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/formattednumber.h
2025-09-07T06:18:26.2264930Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/std_string.h
2025-09-07T06:18:26.2265660Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utf8.h
2025-09-07T06:18:26.2266510Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/localpointer.h
2025-09-07T06:18:26.2267280Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uclean.h
2025-09-07T06:18:26.2268020Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/uscript.h
2025-09-07T06:18:26.2268880Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/numfmt.h
2025-09-07T06:18:26.2269830Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/currunit.h
2025-09-07T06:18:26.2270690Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/utypes.h
2025-09-07T06:18:26.2271450Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/ulistformatter.h
2025-09-07T06:18:26.2272180Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/measfmt.h
2025-09-07T06:18:26.2273010Z /opt/homebrew/Caskroom/miniconda/base/include/unicode/unifilt.h
2025-09-07T06:18:26.2273590Z /opt/homebrew/Caskroom/miniconda/base/include/form.h
2025-09-07T06:18:26.2274450Z /opt/homebrew/Caskroom/miniconda/base/include/tclUnixPort.h
2025-09-07T06:18:26.2275400Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/export.hpp
2025-09-07T06:18:26.2276260Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/reproc.hpp
2025-09-07T06:18:26.2277070Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/env.hpp
2025-09-07T06:18:26.2277890Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/detail/array.hpp
2025-09-07T06:18:26.2278970Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/detail/type_traits.hpp
2025-09-07T06:18:26.2279770Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/run.hpp
2025-09-07T06:18:26.2280470Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/input.hpp
2025-09-07T06:18:26.2281370Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/arguments.hpp
2025-09-07T06:18:26.2282400Z /opt/homebrew/Caskroom/miniconda/base/include/reproc++/drain.hpp
2025-09-07T06:18:26.2282990Z /opt/homebrew/Caskroom/miniconda/base/include/tcl.h
2025-09-07T06:18:26.2283880Z /opt/homebrew/Caskroom/miniconda/base/include/itclMigrate2TclCore.h
2025-09-07T06:18:26.2284720Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/ostream.h
2025-09-07T06:18:26.2285490Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/format-inl.h
2025-09-07T06:18:26.2286110Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/ranges.h
2025-09-07T06:18:26.2286820Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/xchar.h
2025-09-07T06:18:26.2287420Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/core.h
2025-09-07T06:18:26.2288230Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/chrono.h
2025-09-07T06:18:26.2288890Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/os.h
2025-09-07T06:18:26.2289820Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/color.h
2025-09-07T06:18:26.2290320Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/args.h
2025-09-07T06:18:26.2291140Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/printf.h
2025-09-07T06:18:26.2291880Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/compile.h
2025-09-07T06:18:26.2292500Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/format.h
2025-09-07T06:18:26.2293170Z /opt/homebrew/Caskroom/miniconda/base/include/fmt/std.h
2025-09-07T06:18:26.2294190Z /opt/homebrew/Caskroom/miniconda/base/include/pcre2posix.h
2025-09-07T06:18:26.2294860Z /opt/homebrew/Caskroom/miniconda/base/include/cursesw.h
2025-09-07T06:18:26.2295420Z /opt/homebrew/Caskroom/miniconda/base/include/itcl.h
2025-09-07T06:18:26.2296110Z /opt/homebrew/Caskroom/miniconda/base/include/ares_build.h
2025-09-07T06:18:26.2296920Z /opt/homebrew/Caskroom/miniconda/base/include/tclIntDecls.h
2025-09-07T06:18:26.2297670Z /opt/homebrew/Caskroom/miniconda/base/include/lz4.h
2025-09-07T06:18:26.2298360Z /opt/homebrew/Caskroom/miniconda/base/include/readline/readline.h
2025-09-07T06:18:26.2299200Z /opt/homebrew/Caskroom/miniconda/base/include/readline/keymaps.h
2025-09-07T06:18:26.2300020Z /opt/homebrew/Caskroom/miniconda/base/include/readline/tilde.h
2025-09-07T06:18:26.2300820Z /opt/homebrew/Caskroom/miniconda/base/include/readline/rlconf.h
2025-09-07T06:18:26.2301640Z /opt/homebrew/Caskroom/miniconda/base/include/readline/chardefs.h
2025-09-07T06:18:26.2302500Z /opt/homebrew/Caskroom/miniconda/base/include/readline/history.h
2025-09-07T06:18:26.2303340Z /opt/homebrew/Caskroom/miniconda/base/include/readline/rlstdc.h
2025-09-07T06:18:26.2304210Z /opt/homebrew/Caskroom/miniconda/base/include/readline/rltypedefs.h
2025-09-07T06:18:26.2304930Z /opt/homebrew/Caskroom/miniconda/base/include/tkImgPhoto.h
2025-09-07T06:18:26.2305570Z /opt/homebrew/Caskroom/miniconda/base/include/bzlib.h
2025-09-07T06:18:26.2306330Z /opt/homebrew/Caskroom/miniconda/base/include/localcharset.h
2025-09-07T06:18:26.2306840Z /opt/homebrew/Caskroom/miniconda/base/include/ares.h
2025-09-07T06:18:26.2308190Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/activation.hpp
2025-09-07T06:18:26.2309230Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/environments_manager.hpp
2025-09-07T06:18:26.2310030Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/transaction.hpp
2025-09-07T06:18:26.2310970Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_handling.hpp
2025-09-07T06:18:26.2311850Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/invoke.hpp
2025-09-07T06:18:26.2312610Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/prefix_data.hpp
2025-09-07T06:18:26.2313590Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/common_types.hpp
2025-09-07T06:18:26.2314460Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/palette.hpp
2025-09-07T06:18:26.2315240Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/link.hpp
2025-09-07T06:18:26.2315990Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/error_handling.hpp
2025-09-07T06:18:26.2316770Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/repo_checker_store.hpp
2025-09-07T06:18:26.2317500Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_fetcher.hpp
2025-09-07T06:18:26.2318160Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/execution.hpp
2025-09-07T06:18:26.2318870Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/subdirdata.hpp
2025-09-07T06:18:26.2319550Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/shell_init.hpp
2025-09-07T06:18:26.2320210Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/fsutil.hpp
2025-09-07T06:18:26.2321020Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/channel_context.hpp
2025-09-07T06:18:26.2321900Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/env_lockfile.hpp
2025-09-07T06:18:26.2322780Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/util_scope.hpp
2025-09-07T06:18:26.2323760Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/transaction_context.hpp
2025-09-07T06:18:26.2324770Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/download_progress_bar.hpp
2025-09-07T06:18:26.2325550Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/context.hpp
2025-09-07T06:18:26.2326500Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/timeref.hpp
2025-09-07T06:18:26.2327300Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/util_os.hpp
2025-09-07T06:18:26.2328170Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/tasksync.hpp
2025-09-07T06:18:26.2328960Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/history.hpp
2025-09-07T06:18:26.2329830Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/progress_bar.hpp
2025-09-07T06:18:26.2330590Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/run.hpp
2025-09-07T06:18:26.2331690Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_paths.hpp
2025-09-07T06:18:26.2332790Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_database_loader.hpp
2025-09-07T06:18:26.2333760Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/virtual_packages.hpp
2025-09-07T06:18:26.2334680Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/thread_utils.hpp
2025-09-07T06:18:26.2335580Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/output.hpp
2025-09-07T06:18:26.2336510Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/package_cache.hpp
2025-09-07T06:18:26.2337300Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/pinning.hpp
2025-09-07T06:18:26.2338220Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/query.hpp
2025-09-07T06:18:26.2339030Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/util.hpp
2025-09-07T06:18:26.2340040Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/core/menuinst.hpp
2025-09-07T06:18:26.2340910Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/cast.hpp
2025-09-07T06:18:26.2341770Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_unix.hpp
2025-09-07T06:18:26.2342600Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/cryptography.hpp
2025-09-07T06:18:26.2343440Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/build.hpp
2025-09-07T06:18:26.2344290Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/json.hpp
2025-09-07T06:18:26.2345170Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_osx.hpp
2025-09-07T06:18:26.2346140Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/weakening_map.hpp
2025-09-07T06:18:26.2346940Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/path_manip.hpp
2025-09-07T06:18:26.2347990Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/flat_binary_tree.hpp
2025-09-07T06:18:26.2348870Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/variant_cmp.hpp
2025-09-07T06:18:26.2349790Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/encoding.hpp
2025-09-07T06:18:26.2350820Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/functional.hpp
2025-09-07T06:18:26.2351860Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/flat_bool_expr_tree.hpp
2025-09-07T06:18:26.2352630Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/type_traits.hpp
2025-09-07T06:18:26.2353600Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/random.hpp
2025-09-07T06:18:26.2354480Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_linux.hpp
2025-09-07T06:18:26.2355880Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/heap_optional.hpp
2025-09-07T06:18:26.2356260Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/graph.hpp
2025-09-07T06:18:26.2357280Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/loop_control.hpp
2025-09-07T06:18:26.2358000Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/url.hpp
2025-09-07T06:18:26.2358930Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os_win.hpp
2025-09-07T06:18:26.2359840Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/url_manip.hpp
2025-09-07T06:18:26.2360630Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/string.hpp
2025-09-07T06:18:26.2361590Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/deprecation.hpp
2025-09-07T06:18:26.2362490Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/parsers.hpp
2025-09-07T06:18:26.2363300Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/cfile.hpp
2025-09-07T06:18:26.2364160Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/os.hpp
2025-09-07T06:18:26.2365120Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/conditional.hpp
2025-09-07T06:18:26.2366010Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/flat_set.hpp
2025-09-07T06:18:26.2366800Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/compare.hpp
2025-09-07T06:18:26.2367640Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/iterator.hpp
2025-09-07T06:18:26.2368600Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/environment.hpp
2025-09-07T06:18:26.2369390Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/util/tuple_hash.hpp
2025-09-07T06:18:26.2370200Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/archive.hpp
2025-09-07T06:18:26.2371240Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/package_info.hpp
2025-09-07T06:18:26.2372020Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/match_spec.hpp
2025-09-07T06:18:26.2372910Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/glob_spec.hpp
2025-09-07T06:18:26.2373810Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/repo_data.hpp
2025-09-07T06:18:26.2374800Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/specs/regex_spec.hpp
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2025-09-07T06:18:26.2384870Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/request.hpp
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2025-09-07T06:18:26.2391600Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/solver/libsolv/repo_info.hpp
2025-09-07T06:18:26.2392450Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/version.hpp
2025-09-07T06:18:26.2393360Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/download/mirror_map.hpp
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2025-09-07T06:18:26.2406520Z /opt/homebrew/Caskroom/miniconda/base/include/mamba/api/update.hpp
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2025-09-07T06:18:26.2416220Z /opt/homebrew/Caskroom/miniconda/base/include/tclInt.h
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2025-09-07T06:18:26.2420710Z /opt/homebrew/Caskroom/miniconda/base/include/tdbcInt.h
2025-09-07T06:18:26.2421380Z /opt/homebrew/Caskroom/miniconda/base/include/cursesapp.h
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2025-09-07T06:18:26.2426820Z /opt/homebrew/Caskroom/miniconda/base/include/tclOO.h
2025-09-07T06:18:26.2427880Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/traits.h
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2025-09-07T06:18:26.2433590Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/null.h
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2025-09-07T06:18:26.2435310Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/emitterstyle.h
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2025-09-07T06:18:26.2439860Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/contrib/graphbuilder.h
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2025-09-07T06:18:26.2450140Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/detail/impl.h
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2025-09-07T06:18:26.2454780Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/impl.h
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2025-09-07T06:18:26.2456610Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/node/iterator.h
2025-09-07T06:18:26.2457550Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/ostream_wrapper.h
2025-09-07T06:18:26.2458440Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/stlemitter.h
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2025-09-07T06:18:26.2460090Z /opt/homebrew/Caskroom/miniconda/base/include/yaml-cpp/depthguard.h
2025-09-07T06:18:26.2460860Z /opt/homebrew/Caskroom/miniconda/base/include/simdjson.h
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2025-09-07T06:18:26.2462300Z /opt/homebrew/Caskroom/miniconda/base/include/cursslk.h
2025-09-07T06:18:26.2463250Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXColor.h
2025-09-07T06:18:26.2464290Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/pattern_formatter-inl.h
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2025-09-07T06:18:26.2467400Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/fmt/ranges.h
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2025-09-07T06:18:26.2473280Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/logger-inl.h
2025-09-07T06:18:26.2474170Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/sinks/qt_sinks.h
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2025-09-07T06:18:26.2524940Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/backtracer-inl.h
2025-09-07T06:18:26.2525700Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/file_helper-inl.h
2025-09-07T06:18:26.2526430Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/log_msg_buffer.h
2025-09-07T06:18:26.2527340Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/tcp_client.h
2025-09-07T06:18:26.2527950Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/console_globals.h
2025-09-07T06:18:26.2528690Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/windows_include.h
2025-09-07T06:18:26.2529490Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/details/tcp_client-windows.h
2025-09-07T06:18:26.2530110Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/async_logger.h
2025-09-07T06:18:26.2530700Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/cfg/env.h
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2025-09-07T06:18:26.2533250Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/tweakme.h
2025-09-07T06:18:26.2533830Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/async.h
2025-09-07T06:18:26.2534440Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/common.h
2025-09-07T06:18:26.2535170Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/async_logger-inl.h
2025-09-07T06:18:26.2535780Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/stopwatch.h
2025-09-07T06:18:26.2536540Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/pattern_formatter.h
2025-09-07T06:18:26.2537110Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/logger.h
2025-09-07T06:18:26.2537980Z /opt/homebrew/Caskroom/miniconda/base/include/spdlog/spdlog-inl.h
2025-09-07T06:18:26.2538310Z /opt/homebrew/Caskroom/miniconda/base/include/itcl2TclOO.h
2025-09-07T06:18:26.2538840Z /opt/homebrew/Caskroom/miniconda/base/include/tkUndo.h
2025-09-07T06:18:26.2539470Z /opt/homebrew/Caskroom/miniconda/base/include/curl/stdcheaders.h
2025-09-07T06:18:26.2540050Z /opt/homebrew/Caskroom/miniconda/base/include/curl/header.h
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2025-09-07T06:18:26.2542980Z /opt/homebrew/Caskroom/miniconda/base/include/curl/websockets.h
2025-09-07T06:18:26.2543580Z /opt/homebrew/Caskroom/miniconda/base/include/curl/curlver.h
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2025-09-07T06:18:26.2545380Z /opt/homebrew/Caskroom/miniconda/base/include/curl/multi.h
2025-09-07T06:18:26.2545960Z /opt/homebrew/Caskroom/miniconda/base/include/curl/urlapi.h
2025-09-07T06:18:26.2546610Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXDefault.h
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2025-09-07T06:18:26.2547690Z /opt/homebrew/Caskroom/miniconda/base/include/tkInt.h
2025-09-07T06:18:26.2548290Z /opt/homebrew/Caskroom/miniconda/base/include/tkFileFilter.h
2025-09-07T06:18:26.2548800Z /opt/homebrew/Caskroom/miniconda/base/include/tkMenu.h
2025-09-07T06:18:26.2549290Z /opt/homebrew/Caskroom/miniconda/base/include/tk.h
2025-09-07T06:18:26.2549870Z /opt/homebrew/Caskroom/miniconda/base/include/tkIntDecls.h
2025-09-07T06:18:26.2550440Z /opt/homebrew/Caskroom/miniconda/base/include/odbcStubs.h
2025-09-07T06:18:26.2550950Z /opt/homebrew/Caskroom/miniconda/base/include/iconv.h
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2025-09-07T06:18:26.2552230Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-matchers.h
2025-09-07T06:18:26.2552890Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-death-test.h
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2025-09-07T06:18:26.2555820Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/internal/gtest-port.h
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2025-09-07T06:18:26.2559710Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/internal/gtest-filepath.h
2025-09-07T06:18:26.2560450Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/internal/custom/gtest-port.h
2025-09-07T06:18:26.2561380Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/internal/custom/README.md
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2025-09-07T06:18:26.2563630Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/internal/custom/gtest-printers.h
2025-09-07T06:18:26.2564420Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-message.h
2025-09-07T06:18:26.2565320Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-param-test.h
2025-09-07T06:18:26.2566480Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-typed-test.h
2025-09-07T06:18:26.2567120Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest_pred_impl.h
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2025-09-07T06:18:26.2569430Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest.h
2025-09-07T06:18:26.2570660Z /opt/homebrew/Caskroom/miniconda/base/include/gtest/gtest-printers.h
2025-09-07T06:18:26.2571470Z /opt/homebrew/Caskroom/miniconda/base/include/panel.h
2025-09-07T06:18:26.2571630Z /opt/homebrew/Caskroom/miniconda/base/include/lz4frame_static.h
2025-09-07T06:18:26.2572390Z /opt/homebrew/Caskroom/miniconda/base/include/expat.h
2025-09-07T06:18:26.2573100Z /opt/homebrew/Caskroom/miniconda/base/include/itclInt.h
2025-09-07T06:18:26.2573800Z /opt/homebrew/Caskroom/miniconda/base/include/ks_names.h
2025-09-07T06:18:26.2574800Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses.h
2025-09-07T06:18:26.2575330Z /opt/homebrew/Caskroom/miniconda/base/include/tkPlatDecls.h
2025-09-07T06:18:26.2575940Z /opt/homebrew/Caskroom/miniconda/base/include/lz4hc.h
2025-09-07T06:18:26.2577010Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/ordered_map.hpp
2025-09-07T06:18:26.2577830Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/json.hpp
2025-09-07T06:18:26.2578750Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/adl_serializer.hpp
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2025-09-07T06:18:26.2580520Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/hash.hpp
2025-09-07T06:18:26.2581660Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/string_escape.hpp
2025-09-07T06:18:26.2582570Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/json_ref.hpp
2025-09-07T06:18:26.2583750Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/conversions/to_chars.hpp
2025-09-07T06:18:26.2584800Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/conversions/from_json.hpp
2025-09-07T06:18:26.2585770Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/conversions/to_json.hpp
2025-09-07T06:18:26.2586700Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/value_t.hpp
2025-09-07T06:18:26.2587810Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/input/position_t.hpp
2025-09-07T06:18:26.2588780Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/input/parser.hpp
2025-09-07T06:18:26.2589780Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/input/json_sax.hpp
2025-09-07T06:18:26.2590970Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/input/binary_reader.hpp
2025-09-07T06:18:26.2592120Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/input/input_adapters.hpp
2025-09-07T06:18:26.2593170Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/input/lexer.hpp
2025-09-07T06:18:26.2594200Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/string_concat.hpp
2025-09-07T06:18:26.2595240Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/macro_scope.hpp
2025-09-07T06:18:26.2596420Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/output/output_adapters.hpp
2025-09-07T06:18:26.2597480Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/output/serializer.hpp
2025-09-07T06:18:26.2598580Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/output/binary_writer.hpp
2025-09-07T06:18:26.2599500Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/is_sax.hpp
2025-09-07T06:18:26.2600690Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/call_std/end.hpp
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2025-09-07T06:18:26.2602820Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/identity_tag.hpp
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2025-09-07T06:18:26.2604760Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/cpp_future.hpp
2025-09-07T06:18:26.2605810Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/detected.hpp
2025-09-07T06:18:26.2606910Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/void_t.hpp
2025-09-07T06:18:26.2607960Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/meta/std_fs.hpp
2025-09-07T06:18:26.2608940Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/json_pointer.hpp
2025-09-07T06:18:26.2609900Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/exceptions.hpp
2025-09-07T06:18:26.2610970Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/abi_macros.hpp
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2025-09-07T06:18:26.2615480Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/iterators/iteration_proxy.hpp
2025-09-07T06:18:26.2616600Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/iterators/iterator_traits.hpp
2025-09-07T06:18:26.2617800Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/iterators/internal_iterator.hpp
2025-09-07T06:18:26.2619160Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/detail/iterators/primitive_iterator.hpp
2025-09-07T06:18:26.2620120Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/thirdparty/hedley/hedley.hpp
2025-09-07T06:18:26.2621250Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/thirdparty/hedley/hedley_undef.hpp
2025-09-07T06:18:26.2622040Z /opt/homebrew/Caskroom/miniconda/base/include/nlohmann/json_fwd.hpp
2025-09-07T06:18:26.2622650Z /opt/homebrew/Caskroom/miniconda/base/include/eti.h
2025-09-07T06:18:26.2623620Z /opt/homebrew/Caskroom/miniconda/base/include/ncurses_dll.h
2025-09-07T06:18:26.2624350Z /opt/homebrew/Caskroom/miniconda/base/include/zlib.h
2025-09-07T06:18:26.2625060Z /opt/homebrew/Caskroom/miniconda/base/include/tkButton.h
2025-09-07T06:18:26.2625900Z /opt/homebrew/Caskroom/miniconda/base/include/tkScrollbar.h
2025-09-07T06:18:26.2626680Z /opt/homebrew/Caskroom/miniconda/base/include/term_entry.h
2025-09-07T06:18:26.2627360Z /opt/homebrew/Caskroom/miniconda/base/include/menu.h
2025-09-07T06:18:26.2628040Z /opt/homebrew/Caskroom/miniconda/base/include/pcre2.h
2025-09-07T06:18:26.2628790Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSX.h
2025-09-07T06:18:26.2629570Z /opt/homebrew/Caskroom/miniconda/base/include/sqlite3.h
2025-09-07T06:18:26.2630420Z /opt/homebrew/Caskroom/miniconda/base/include/tclOOIntDecls.h
2025-09-07T06:18:26.2631180Z /opt/homebrew/Caskroom/miniconda/base/include/zstd_errors.h
2025-09-07T06:18:26.2632020Z /opt/homebrew/Caskroom/miniconda/base/include/sqlite3ext.h
2025-09-07T06:18:26.2632860Z /opt/homebrew/Caskroom/miniconda/base/include/libssh2.h
2025-09-07T06:18:26.2633530Z /opt/homebrew/Caskroom/miniconda/base/include/X11/DECkeysym.h
2025-09-07T06:18:26.2634220Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Xutil.h
2025-09-07T06:18:26.2635000Z /opt/homebrew/Caskroom/miniconda/base/include/X11/ap_keysym.h
2025-09-07T06:18:26.2635590Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Xatom.h
2025-09-07T06:18:26.2636230Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Xlib.h
2025-09-07T06:18:26.2637060Z /opt/homebrew/Caskroom/miniconda/base/include/X11/cursorfont.h
2025-09-07T06:18:26.2637810Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Sunkeysym.h
2025-09-07T06:18:26.2638490Z /opt/homebrew/Caskroom/miniconda/base/include/X11/Xfuncproto.h
2025-09-07T06:18:26.2639460Z /opt/homebrew/Caskroom/miniconda/base/include/X11/keysymdef.h
2025-09-07T06:18:26.2639950Z /opt/homebrew/Caskroom/miniconda/base/include/X11/HPkeysym.h
2025-09-07T06:18:26.2640780Z /opt/homebrew/Caskroom/miniconda/base/include/X11/keysym.h
2025-09-07T06:18:26.2641530Z /opt/homebrew/Caskroom/miniconda/base/include/X11/XF86keysym.h
2025-09-07T06:18:26.2642230Z /opt/homebrew/Caskroom/miniconda/base/include/X11/X.h
2025-09-07T06:18:26.2643040Z /opt/homebrew/Caskroom/miniconda/base/include/X11/xbytes.h
2025-09-07T06:18:26.2643770Z /opt/homebrew/Caskroom/miniconda/base/include/tclTomMathDecls.h
2025-09-07T06:18:26.2644420Z /opt/homebrew/Caskroom/miniconda/base/include/tclTomMath.h
2025-09-07T06:18:26.2645180Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXInt.h
2025-09-07T06:18:26.2645950Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXCursors.h
2025-09-07T06:18:26.2646730Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXConstants.h
2025-09-07T06:18:26.2647320Z /opt/homebrew/Caskroom/miniconda/base/include/ev.h
2025-09-07T06:18:26.2648050Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXEvent.h
2025-09-07T06:18:26.2648770Z /opt/homebrew/Caskroom/miniconda/base/include/lz4frame.h
2025-09-07T06:18:26.2649580Z /opt/homebrew/Caskroom/miniconda/base/include/ares_nameser.h
2025-09-07T06:18:26.2650190Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXPort.h
2025-09-07T06:18:26.2651320Z /opt/homebrew/Caskroom/miniconda/base/include/tkCanvas.h
2025-09-07T06:18:26.2651720Z /opt/homebrew/Caskroom/miniconda/base/include/tkArray.h
2025-09-07T06:18:26.2652390Z /opt/homebrew/Caskroom/miniconda/base/include/zstd.h
2025-09-07T06:18:26.2653110Z /opt/homebrew/Caskroom/miniconda/base/include/fakemysql.h
2025-09-07T06:18:26.2654010Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pem2.h
2025-09-07T06:18:26.2654570Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/kdf.h
2025-09-07T06:18:26.2655360Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pem.h
2025-09-07T06:18:26.2656160Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asyncerr.h
2025-09-07T06:18:26.2656970Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/md2.h
2025-09-07T06:18:26.2657640Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ssl3.h
2025-09-07T06:18:26.2658420Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ossl_typ.h
2025-09-07T06:18:26.2659170Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dtls1.h
2025-09-07T06:18:26.2659860Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/err.h
2025-09-07T06:18:26.2660660Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bn.h
2025-09-07T06:18:26.2661480Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/blowfish.h
2025-09-07T06:18:26.2662240Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cms.h
2025-09-07T06:18:26.2663020Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/engine.h
2025-09-07T06:18:26.2663850Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conf_api.h
2025-09-07T06:18:26.2664690Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/esserr.h
2025-09-07T06:18:26.2665430Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core.h
2025-09-07T06:18:26.2666390Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509.h
2025-09-07T06:18:26.2666930Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1_mac.h
2025-09-07T06:18:26.2667680Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/objectserr.h
2025-09-07T06:18:26.2668590Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/params.h
2025-09-07T06:18:26.2669700Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmserr.h
2025-09-07T06:18:26.2670150Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/http.h
2025-09-07T06:18:26.2670930Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ui.h
2025-09-07T06:18:26.2671640Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/sha.h
2025-09-07T06:18:26.2672530Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/symhacks.h
2025-09-07T06:18:26.2673300Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1.h
2025-09-07T06:18:26.2674020Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bioerr.h
2025-09-07T06:18:26.2674900Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/opensslconf.h
2025-09-07T06:18:26.2675610Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bio.h
2025-09-07T06:18:26.2676390Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rc2.h
2025-09-07T06:18:26.2677190Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/types.h
2025-09-07T06:18:26.2677840Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dh.h
2025-09-07T06:18:26.2678920Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cryptoerr_legacy.h
2025-09-07T06:18:26.2679480Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/proverr.h
2025-09-07T06:18:26.2680300Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509v3.h
2025-09-07T06:18:26.2681140Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core_object.h
2025-09-07T06:18:26.2681960Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/decodererr.h
2025-09-07T06:18:26.2682940Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/param_build.h
2025-09-07T06:18:26.2683640Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conf.h
2025-09-07T06:18:26.2684450Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conftypes.h
2025-09-07T06:18:26.2685100Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/md5.h
2025-09-07T06:18:26.2685950Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/decoder.h
2025-09-07T06:18:26.2686670Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pemerr.h
2025-09-07T06:18:26.2687460Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/crmferr.h
2025-09-07T06:18:26.2688210Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509_vfy.h
2025-09-07T06:18:26.2689070Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/txt_db.h
2025-09-07T06:18:26.2689860Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmp.h
2025-09-07T06:18:26.2690620Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/comperr.h
2025-09-07T06:18:26.2691540Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cterr.h
2025-09-07T06:18:26.2692350Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/self_test.h
2025-09-07T06:18:26.2693120Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/safestack.h
2025-09-07T06:18:26.2694110Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/configuration.h
2025-09-07T06:18:26.2694960Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/fips_names.h
2025-09-07T06:18:26.2695800Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ecdsa.h
2025-09-07T06:18:26.2696600Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/sslerr.h
2025-09-07T06:18:26.2697410Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/prov_ssl.h
2025-09-07T06:18:26.2698250Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/fipskey.h
2025-09-07T06:18:26.2698960Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rc5.h
2025-09-07T06:18:26.2699730Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/uierr.h
2025-09-07T06:18:26.2700560Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509v3err.h
2025-09-07T06:18:26.2701280Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/objects.h
2025-09-07T06:18:26.2702040Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs12.h
2025-09-07T06:18:26.2702790Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/crypto.h
2025-09-07T06:18:26.2703450Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/crmf.h
2025-09-07T06:18:26.2709200Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmp_util.h
2025-09-07T06:18:26.2709440Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/opensslv.h
2025-09-07T06:18:26.2709560Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/evperr.h
2025-09-07T06:18:26.2709740Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs7.h
2025-09-07T06:18:26.2709880Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/obj_mac.h
2025-09-07T06:18:26.2709990Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ct.h
2025-09-07T06:18:26.2710270Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/async.h
2025-09-07T06:18:26.2710390Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/buffer.h
2025-09-07T06:18:26.2710510Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ssl.h
2025-09-07T06:18:26.2710630Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/srp.h
2025-09-07T06:18:26.2711400Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/camellia.h
2025-09-07T06:18:26.2712230Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/httperr.h
2025-09-07T06:18:26.2712890Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dherr.h
2025-09-07T06:18:26.2713800Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/evp.h
2025-09-07T06:18:26.2714440Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/e_os2.h
2025-09-07T06:18:26.2714990Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/trace.h
2025-09-07T06:18:26.2715610Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/md4.h
2025-09-07T06:18:26.2716370Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core_names.h
2025-09-07T06:18:26.2716890Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/hmac.h
2025-09-07T06:18:26.2717590Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/provider.h
2025-09-07T06:18:26.2718080Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/aes.h
2025-09-07T06:18:26.2718870Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/engineerr.h
2025-09-07T06:18:26.2719280Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/comp.h
2025-09-07T06:18:26.2719900Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/macros.h
2025-09-07T06:18:26.2720660Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs12err.h
2025-09-07T06:18:26.2721220Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/encoder.h
2025-09-07T06:18:26.2721760Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cast.h
2025-09-07T06:18:26.2722460Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/sslerr_legacy.h
2025-09-07T06:18:26.2723030Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rc4.h
2025-09-07T06:18:26.2723660Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/stack.h
2025-09-07T06:18:26.2724400Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/des.h
2025-09-07T06:18:26.2724810Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ocsp.h
2025-09-07T06:18:26.2725390Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ec.h
2025-09-07T06:18:26.2725970Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ecdh.h
2025-09-07T06:18:26.2726730Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rand.h
2025-09-07T06:18:26.2727180Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ecerr.h
2025-09-07T06:18:26.2727770Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ts.h
2025-09-07T06:18:26.2728470Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/core_dispatch.h
2025-09-07T06:18:26.2729090Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cryptoerr.h
2025-09-07T06:18:26.2729720Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/storeerr.h
2025-09-07T06:18:26.2730380Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/buffererr.h
2025-09-07T06:18:26.2730960Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/seed.h
2025-09-07T06:18:26.2731570Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/modes.h
2025-09-07T06:18:26.2732160Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ssl2.h
2025-09-07T06:18:26.2732760Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/tserr.h
2025-09-07T06:18:26.2733440Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rsa.h
2025-09-07T06:18:26.2733990Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ripemd.h
2025-09-07T06:18:26.2734740Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/whrlpool.h
2025-09-07T06:18:26.2735300Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/encodererr.h
2025-09-07T06:18:26.2735890Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmperr.h
2025-09-07T06:18:26.2736490Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/tls1.h
2025-09-07T06:18:26.2737260Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/rsaerr.h
2025-09-07T06:18:26.2737700Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/randerr.h
2025-09-07T06:18:26.2738300Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/mdc2.h
2025-09-07T06:18:26.2739190Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ocsperr.h
2025-09-07T06:18:26.2740640Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/x509err.h
2025-09-07T06:18:26.2741490Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/pkcs7err.h
2025-09-07T06:18:26.2742160Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dsa.h
2025-09-07T06:18:26.2743180Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/kdferr.h
2025-09-07T06:18:26.2743880Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/srtp.h
2025-09-07T06:18:26.2744620Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1t.h
2025-09-07T06:18:26.2745420Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/dsaerr.h
2025-09-07T06:18:26.2746270Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/bnerr.h
2025-09-07T06:18:26.2747080Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/conferr.h
2025-09-07T06:18:26.2747960Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/cmac.h
2025-09-07T06:18:26.2748720Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ebcdic.h
2025-09-07T06:18:26.2749550Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/store.h
2025-09-07T06:18:26.2750360Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/idea.h
2025-09-07T06:18:26.2751100Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/lhash.h
2025-09-07T06:18:26.2751820Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/ess.h
2025-09-07T06:18:26.2752660Z /opt/homebrew/Caskroom/miniconda/base/include/openssl/asn1err.h
2025-09-07T06:18:26.2753480Z /opt/homebrew/Caskroom/miniconda/base/include/libssh2_publickey.h
2025-09-07T06:18:26.2754280Z /opt/homebrew/Caskroom/miniconda/base/include/ares_dns_record.h
2025-09-07T06:18:26.2755010Z /opt/homebrew/Caskroom/miniconda/base/include/tclDecls.h
2025-09-07T06:18:26.2755840Z /opt/homebrew/Caskroom/miniconda/base/include/tkIntPlatDecls.h
2025-09-07T06:18:26.2756500Z /opt/homebrew/Caskroom/miniconda/base/include/cursesm.h
2025-09-07T06:18:26.2757250Z /opt/homebrew/Caskroom/miniconda/base/include/tkDecls.h
2025-09-07T06:18:26.2758080Z /opt/homebrew/Caskroom/miniconda/base/include/tkBusy.h
2025-09-07T06:18:26.2758850Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/index.h
2025-09-07T06:18:26.2759670Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/version.h
2025-09-07T06:18:26.2760400Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/index_hash.h
2025-09-07T06:18:26.2761240Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/lzma12.h
2025-09-07T06:18:26.2762070Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/container.h
2025-09-07T06:18:26.2762930Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/delta.h
2025-09-07T06:18:26.2763670Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/vli.h
2025-09-07T06:18:26.2764360Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/check.h
2025-09-07T06:18:26.2765090Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/bcj.h
2025-09-07T06:18:26.2766320Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/stream_flags.h
2025-09-07T06:18:26.2766980Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/block.h
2025-09-07T06:18:26.2767900Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/hardware.h
2025-09-07T06:18:26.2768610Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/filter.h
2025-09-07T06:18:26.2769410Z /opt/homebrew/Caskroom/miniconda/base/include/lzma/base.h
2025-09-07T06:18:26.2770180Z /opt/homebrew/Caskroom/miniconda/base/include/fakesql.h
2025-09-07T06:18:26.2771150Z /opt/homebrew/Caskroom/miniconda/base/include/itclDecls.h
2025-09-07T06:18:26.2771990Z /opt/homebrew/Caskroom/miniconda/base/include/tclPlatDecls.h
2025-09-07T06:18:26.2772730Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXXCursors.h
2025-09-07T06:18:26.2773410Z /opt/homebrew/Caskroom/miniconda/base/include/ffi.h
2025-09-07T06:18:26.2774170Z /opt/homebrew/Caskroom/miniconda/base/include/default.h
2025-09-07T06:18:26.2774890Z /opt/homebrew/Caskroom/miniconda/base/include/tkUnixPort.h
2025-09-07T06:18:26.2775720Z /opt/homebrew/Caskroom/miniconda/base/include/tkMacOSXDebug.h
2025-09-07T06:18:26.2776430Z /opt/homebrew/Caskroom/miniconda/base/include/zconf.h
2025-09-07T06:18:26.2777130Z /opt/homebrew/Caskroom/miniconda/base/include/ares_dns.h
2025-09-07T06:18:26.2778000Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/termcap.h
2025-09-07T06:18:26.2778830Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/cursesp.h
2025-09-07T06:18:26.2779680Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/cursesf.h
2025-09-07T06:18:26.2780490Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/etip.h
2025-09-07T06:18:26.2781260Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/form.h
2025-09-07T06:18:26.2782130Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/cursesw.h
2025-09-07T06:18:26.2783020Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/unctrl.h
2025-09-07T06:18:26.2783930Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/cursesapp.h
2025-09-07T06:18:26.2784700Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/term.h
2025-09-07T06:18:26.2785620Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/cursslk.h
2025-09-07T06:18:26.2786400Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/panel.h
2025-09-07T06:18:26.2787260Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/ncurses.h
2025-09-07T06:18:26.2787970Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/eti.h
2025-09-07T06:18:26.2788840Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/ncurses_dll.h
2025-09-07T06:18:26.2789730Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/term_entry.h
2025-09-07T06:18:26.2790500Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/menu.h
2025-09-07T06:18:26.2791340Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/cursesm.h
2025-09-07T06:18:26.2792140Z /opt/homebrew/Caskroom/miniconda/base/include/ncursesw/curses.h
2025-09-07T06:18:26.2793040Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/pystats.h
2025-09-07T06:18:26.2793990Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/intrcheck.h
2025-09-07T06:18:26.2794900Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/sliceobject.h
2025-09-07T06:18:26.2795930Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/bltinmodule.h
2025-09-07T06:18:26.2796910Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/tupleobject.h
2025-09-07T06:18:26.2797690Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/marshal.h
2025-09-07T06:18:26.2798620Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/py_curses.h
2025-09-07T06:18:26.2799450Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/errcode.h
2025-09-07T06:18:26.2800320Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/iterobject.h
2025-09-07T06:18:26.2801230Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/rangeobject.h
2025-09-07T06:18:26.2802160Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/pystrtod.h
2025-09-07T06:18:26.2802960Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/warnings.h
2025-09-07T06:18:26.2803960Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/opcode_ids.h
2025-09-07T06:18:26.2804870Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/pyhash.h
2025-09-07T06:18:26.2805770Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/pycapsule.h
2025-09-07T06:18:26.2806600Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/pyerrors.h
2025-09-07T06:18:26.2807610Z /opt/homebrew/Caskroom/miniconda/base/include/python3.13/fileutils.h
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2025-09-07T06:18:26.3133860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/list.cpython-313.pyc
2025-09-07T06:18:26.3135370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/hr.cpython-313.pyc
2025-09-07T06:18:26.3137400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/table.cpython-313.pyc
2025-09-07T06:18:26.3139540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/code.cpython-313.pyc
2025-09-07T06:18:26.3141590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/html_block.cpython-313.pyc
2025-09-07T06:18:26.3143780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/reference.cpython-313.pyc
2025-09-07T06:18:26.3145830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/fence.cpython-313.pyc
2025-09-07T06:18:26.3147890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:26.3149880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/__pycache__/lheading.cpython-313.pyc
2025-09-07T06:18:26.3151470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/hr.py
2025-09-07T06:18:26.3153620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/heading.py
2025-09-07T06:18:26.3155260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/blockquote.py
2025-09-07T06:18:26.3156910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/paragraph.py
2025-09-07T06:18:26.3158690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/reference.py
2025-09-07T06:18:26.3160360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/table.py
2025-09-07T06:18:26.3162130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_block/state_block.py
2025-09-07T06:18:26.3163840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/ruler.py
2025-09-07T06:18:26.3165780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/smartquotes.py
2025-09-07T06:18:26.3167640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/normalize.py
2025-09-07T06:18:26.3169410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/replacements.py
2025-09-07T06:18:26.3171410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__init__.py
2025-09-07T06:18:26.3173160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/block.cpython-313.pyc
2025-09-07T06:18:26.3175350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/state_core.cpython-313.pyc
2025-09-07T06:18:26.3177430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/normalize.cpython-313.pyc
2025-09-07T06:18:26.3179480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/linkify.cpython-313.pyc
2025-09-07T06:18:26.3181520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/inline.cpython-313.pyc
2025-09-07T06:18:26.3183630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/replacements.cpython-313.pyc
2025-09-07T06:18:26.3185710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/smartquotes.cpython-313.pyc
2025-09-07T06:18:26.3187630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:26.3189210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/state_core.py
2025-09-07T06:18:26.3190960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/linkify.py
2025-09-07T06:18:26.3192630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/block.py
2025-09-07T06:18:26.3194340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_core/inline.py
2025-09-07T06:18:26.3196000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__init__.py
2025-09-07T06:18:26.3197450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/parser_core.py
2025-09-07T06:18:26.3199480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/main.cpython-313.pyc
2025-09-07T06:18:26.3201420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/renderer.cpython-313.pyc
2025-09-07T06:18:26.3203210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/parser_block.cpython-313.pyc
2025-09-07T06:18:26.3205160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/ruler.cpython-313.pyc
2025-09-07T06:18:26.3207040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/parser_core.cpython-313.pyc
2025-09-07T06:18:26.3208950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/_compat.cpython-313.pyc
2025-09-07T06:18:26.3210810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/token.cpython-313.pyc
2025-09-07T06:18:26.3212650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/utils.cpython-313.pyc
2025-09-07T06:18:26.3214490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/tree.cpython-313.pyc
2025-09-07T06:18:26.3216340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/parser_inline.cpython-313.pyc
2025-09-07T06:18:26.3218320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/_punycode.cpython-313.pyc
2025-09-07T06:18:26.3220130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:26.3221700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/cli/__init__.py
2025-09-07T06:18:26.3223670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/cli/__pycache__/parse.cpython-313.pyc
2025-09-07T06:18:26.3225460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/cli/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:26.3227080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/cli/parse.py
2025-09-07T06:18:26.3228510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/port.yaml
2025-09-07T06:18:26.3230350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__init__.py
2025-09-07T06:18:26.3232360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__pycache__/normalize_url.cpython-313.pyc
2025-09-07T06:18:26.3234310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__pycache__/html_re.cpython-313.pyc
2025-09-07T06:18:26.3236290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__pycache__/entities.cpython-313.pyc
2025-09-07T06:18:26.3238330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__pycache__/utils.cpython-313.pyc
2025-09-07T06:18:26.3240360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__pycache__/html_blocks.cpython-313.pyc
2025-09-07T06:18:26.3242400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:26.3244080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/html_blocks.py
2025-09-07T06:18:26.3245780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/html_re.py
2025-09-07T06:18:26.3247380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/utils.py
2025-09-07T06:18:26.3249200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/normalize_url.py
2025-09-07T06:18:26.3251040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/common/entities.py
2025-09-07T06:18:26.3252510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/utils.py
2025-09-07T06:18:26.3254080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/py.typed
2025-09-07T06:18:26.3255970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/link.py
2025-09-07T06:18:26.3257740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/escape.py
2025-09-07T06:18:26.3259400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/autolink.py
2025-09-07T06:18:26.3261100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/strikethrough.py
2025-09-07T06:18:26.3262890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/html_inline.py
2025-09-07T06:18:26.3264620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__init__.py
2025-09-07T06:18:26.3266370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/state_inline.py
2025-09-07T06:18:26.3268440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/autolink.cpython-313.pyc
2025-09-07T06:18:26.3270460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/link.cpython-313.pyc
2025-09-07T06:18:26.3272750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/balance_pairs.cpython-313.pyc
2025-09-07T06:18:26.3274710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/image.cpython-313.pyc
2025-09-07T06:18:26.3276760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/entity.cpython-313.pyc
2025-09-07T06:18:26.3278700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/text.cpython-313.pyc
2025-09-07T06:18:26.3280880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/escape.cpython-313.pyc
2025-09-07T06:18:26.3283060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/backticks.cpython-313.pyc
2025-09-07T06:18:26.3285080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/html_inline.cpython-313.pyc
2025-09-07T06:18:26.3287210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/newline.cpython-313.pyc
2025-09-07T06:18:26.3289210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/emphasis.cpython-313.pyc
2025-09-07T06:18:26.3291380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/state_inline.cpython-313.pyc
2025-09-07T06:18:26.3293580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/text_collapse.cpython-313.pyc
2025-09-07T06:18:26.3295540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:26.3297660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/markdown-it-py-2.2.0-py313hca03da5_1/lib/python3.13/site-packages/markdown_it/rules_inline/__pycache__/strikethrough.cpython-313.pyc
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2025-09-07T06:18:26.6020450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/spinbox.tcl
2025-09-07T06:18:26.6021450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/unsupported.tcl
2025-09-07T06:18:26.6022350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/clrpick.tcl
2025-09-07T06:18:26.6023330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/entry.tcl
2025-09-07T06:18:26.6024410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/console.tcl
2025-09-07T06:18:26.6025560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/icons.tcl
2025-09-07T06:18:26.6026760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/choosedir.tcl
2025-09-07T06:18:26.6027550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/menu.tcl
2025-09-07T06:18:26.6028690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/dialog.tcl
2025-09-07T06:18:26.6029620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/comdlg.tcl
2025-09-07T06:18:26.6030660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/tclIndex
2025-09-07T06:18:26.6031860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/pl.msg
2025-09-07T06:18:26.6032990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/el.msg
2025-09-07T06:18:26.6033930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/sv.msg
2025-09-07T06:18:26.6034930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/en.msg
2025-09-07T06:18:26.6036010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/eo.msg
2025-09-07T06:18:26.6037040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/ru.msg
2025-09-07T06:18:26.6038190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/fr.msg
2025-09-07T06:18:26.6042970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/nl.msg
2025-09-07T06:18:26.6043410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/cs.msg
2025-09-07T06:18:26.6043860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/en_gb.msg
2025-09-07T06:18:26.6044290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/es.msg
2025-09-07T06:18:26.6044710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/hu.msg
2025-09-07T06:18:26.6045130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/da.msg
2025-09-07T06:18:26.6045560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/fi.msg
2025-09-07T06:18:26.6046800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/zh_cn.msg
2025-09-07T06:18:26.6048060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/pt.msg
2025-09-07T06:18:26.6049200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/de.msg
2025-09-07T06:18:26.6050340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/msgs/it.msg
2025-09-07T06:18:26.6051280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/tearoff.tcl
2025-09-07T06:18:26.6052370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/pkgIndex.tcl
2025-09-07T06:18:26.6053740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/tkAppInit.c
2025-09-07T06:18:26.6054820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/bgerror.tcl
2025-09-07T06:18:26.6055950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/scrlbar.tcl
2025-09-07T06:18:26.6056980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/safetk.tcl
2025-09-07T06:18:26.6058120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/iconlist.tcl
2025-09-07T06:18:26.6059270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/optMenu.tcl
2025-09-07T06:18:26.6060390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/xmfbox.tcl
2025-09-07T06:18:26.6061770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/listbox.tcl
2025-09-07T06:18:26.6063100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/focus.tcl
2025-09-07T06:18:26.6064530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/style.tcl
2025-09-07T06:18:26.6065690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/bitmap.tcl
2025-09-07T06:18:26.6066880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/aniwave.tcl
2025-09-07T06:18:26.6067910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/bind.tcl
2025-09-07T06:18:26.6069410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/image1.tcl
2025-09-07T06:18:26.6070750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/textpeer.tcl
2025-09-07T06:18:26.6071910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/msgbox.tcl
2025-09-07T06:18:26.6073010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/button.tcl
2025-09-07T06:18:26.6074030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/en.msg
2025-09-07T06:18:26.6075190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/text.tcl
2025-09-07T06:18:26.6076390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/image2.tcl
2025-09-07T06:18:26.6077470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/paned2.tcl
2025-09-07T06:18:26.6078560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/filebox.tcl
2025-09-07T06:18:26.6079870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/sayings.tcl
2025-09-07T06:18:26.6080780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/plot.tcl
2025-09-07T06:18:26.6081990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttkscale.tcl
2025-09-07T06:18:26.6083090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/goldberg.tcl
2025-09-07T06:18:26.6084150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/widget
2025-09-07T06:18:26.6085420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttkprogress.tcl
2025-09-07T06:18:26.6086870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/paned1.tcl
2025-09-07T06:18:26.6087880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttknote.tcl
2025-09-07T06:18:26.6089160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/form.tcl
2025-09-07T06:18:26.6090500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/flagup.xbm
2025-09-07T06:18:26.6091820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/letters.xbm
2025-09-07T06:18:26.6093030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/earthris.gif
2025-09-07T06:18:26.6094290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/gray25.xbm
2025-09-07T06:18:26.6095970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/earthmenu.png
2025-09-07T06:18:26.6096980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/ouster.png
2025-09-07T06:18:26.6098590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/noletter.xbm
2025-09-07T06:18:26.6099680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/teapot.ppm
2025-09-07T06:18:26.6101320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/pattern.xbm
2025-09-07T06:18:26.6102600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/tcllogo.gif
2025-09-07T06:18:26.6103780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/flagdown.xbm
2025-09-07T06:18:26.6105030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/images/earth.gif
2025-09-07T06:18:26.6106160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/tree.tcl
2025-09-07T06:18:26.6107550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/floor.tcl
2025-09-07T06:18:26.6108920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/clrpick.tcl
2025-09-07T06:18:26.6109970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/spin.tcl
2025-09-07T06:18:26.6111130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/timer
2025-09-07T06:18:26.6112400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttkpane.tcl
2025-09-07T06:18:26.6113650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/fontchoose.tcl
2025-09-07T06:18:26.6114840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/dialog1.tcl
2025-09-07T06:18:26.6116140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/license.terms
2025-09-07T06:18:26.6117110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/nl.msg
2025-09-07T06:18:26.6118430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/dialog2.tcl
2025-09-07T06:18:26.6119650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/twind.tcl
2025-09-07T06:18:26.6120900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/menu.tcl
2025-09-07T06:18:26.6122400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/knightstour.tcl
2025-09-07T06:18:26.6123670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/README
2025-09-07T06:18:26.6125080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/cscroll.tcl
2025-09-07T06:18:26.6126200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/anilabel.tcl
2025-09-07T06:18:26.6127230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ixset
2025-09-07T06:18:26.6128360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/arrow.tcl
2025-09-07T06:18:26.6129740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/toolbar.tcl
2025-09-07T06:18:26.6130990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttkmenu.tcl
2025-09-07T06:18:26.6132290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/search.tcl
2025-09-07T06:18:26.6133530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/tclIndex
2025-09-07T06:18:26.6134590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ctext.tcl
2025-09-07T06:18:26.6135870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/menubu.tcl
2025-09-07T06:18:26.6136960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/label.tcl
2025-09-07T06:18:26.6138020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/tcolor
2025-09-07T06:18:26.6139230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttkspin.tcl
2025-09-07T06:18:26.6140290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/puzzle.tcl
2025-09-07T06:18:26.6141440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/hscale.tcl
2025-09-07T06:18:26.6142470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/hello
2025-09-07T06:18:26.6143840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/browse
2025-09-07T06:18:26.6145110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ttkbut.tcl
2025-09-07T06:18:26.6146370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/labelframe.tcl
2025-09-07T06:18:26.6147550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/states.tcl
2025-09-07T06:18:26.6148840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/unicodeout.tcl
2025-09-07T06:18:26.6149960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/rolodex
2025-09-07T06:18:26.6151190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/entry1.tcl
2025-09-07T06:18:26.6152250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/combo.tcl
2025-09-07T06:18:26.6153470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/check.tcl
2025-09-07T06:18:26.6154810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/pendulum.tcl
2025-09-07T06:18:26.6155980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/mclist.tcl
2025-09-07T06:18:26.6157150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/entry2.tcl
2025-09-07T06:18:26.6158610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/radio.tcl
2025-09-07T06:18:26.6159750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/colors.tcl
2025-09-07T06:18:26.6160830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/icon.tcl
2025-09-07T06:18:26.6161990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/rmt
2025-09-07T06:18:26.6163100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/items.tcl
2025-09-07T06:18:26.6164120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/entry3.tcl
2025-09-07T06:18:26.6165430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/ruler.tcl
2025-09-07T06:18:26.6166540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/demos/vscale.tcl
2025-09-07T06:18:26.6167630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/scale.tcl
2025-09-07T06:18:26.6168770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tk8.6/palette.tcl
2025-09-07T06:18:26.6169920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/word.tcl
2025-09-07T06:18:26.6170980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/tm.tcl
2025-09-07T06:18:26.6172060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/clock.tcl
2025-09-07T06:18:26.6173070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/history.tcl
2025-09-07T06:18:26.6174310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp869.enc
2025-09-07T06:18:26.6175880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp855.enc
2025-09-07T06:18:26.6177110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso2022-jp.enc
2025-09-07T06:18:26.6178410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/jis0201.enc
2025-09-07T06:18:26.6179500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp857.enc
2025-09-07T06:18:26.6180880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macJapan.enc
2025-09-07T06:18:26.6182150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macUkraine.enc
2025-09-07T06:18:26.6183480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp936.enc
2025-09-07T06:18:26.6184710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp932.enc
2025-09-07T06:18:26.6186190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/tis-620.enc
2025-09-07T06:18:26.6187330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp852.enc
2025-09-07T06:18:26.6188650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso2022-kr.enc
2025-09-07T06:18:26.6189910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macIceland.enc
2025-09-07T06:18:26.6191120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp850.enc
2025-09-07T06:18:26.6192390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/jis0212.enc
2025-09-07T06:18:26.6193620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/symbol.enc
2025-09-07T06:18:26.6194760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macTurkish.enc
2025-09-07T06:18:26.6195930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/ascii.enc
2025-09-07T06:18:26.6197350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macGreek.enc
2025-09-07T06:18:26.6198610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/gb12345.enc
2025-09-07T06:18:26.6199920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-6.enc
2025-09-07T06:18:26.6201250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-7.enc
2025-09-07T06:18:26.6202470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-5.enc
2025-09-07T06:18:26.6203750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-4.enc
2025-09-07T06:18:26.6205450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-1.enc
2025-09-07T06:18:26.6206610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/dingbats.enc
2025-09-07T06:18:26.6207700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp950.enc
2025-09-07T06:18:26.6208970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1258.enc
2025-09-07T06:18:26.6209920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp775.enc
2025-09-07T06:18:26.6211320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-3.enc
2025-09-07T06:18:26.6212830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-2.enc
2025-09-07T06:18:26.6214160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/gb2312-raw.enc
2025-09-07T06:18:26.6215460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macCyrillic.enc
2025-09-07T06:18:26.6216580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1256.enc
2025-09-07T06:18:26.6217850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/gb1988.enc
2025-09-07T06:18:26.6219030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/ebcdic.enc
2025-09-07T06:18:26.6220290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/euc-jp.enc
2025-09-07T06:18:26.6221580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-13.enc
2025-09-07T06:18:26.6222740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/ksc5601.enc
2025-09-07T06:18:26.6223960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/big5.enc
2025-09-07T06:18:26.6225120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1257.enc
2025-09-07T06:18:26.6226400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/gb2312.enc
2025-09-07T06:18:26.6227610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1255.enc
2025-09-07T06:18:26.6228870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp949.enc
2025-09-07T06:18:26.6230150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-11.enc
2025-09-07T06:18:26.6231460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-10.enc
2025-09-07T06:18:26.6232600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1254.enc
2025-09-07T06:18:26.6233790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1250.enc
2025-09-07T06:18:26.6235260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macCentEuro.enc
2025-09-07T06:18:26.6236400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-14.enc
2025-09-07T06:18:26.6237620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-9.enc
2025-09-07T06:18:26.6238630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/euc-kr.enc
2025-09-07T06:18:26.6239860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-8.enc
2025-09-07T06:18:26.6241320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-15.enc
2025-09-07T06:18:26.6242480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1251.enc
2025-09-07T06:18:26.6243740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1253.enc
2025-09-07T06:18:26.6245240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso8859-16.enc
2025-09-07T06:18:26.6246480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp437.enc
2025-09-07T06:18:26.6247600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp1252.enc
2025-09-07T06:18:26.6248840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/koi8-u.enc
2025-09-07T06:18:26.6250020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macThai.enc
2025-09-07T06:18:26.6251440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/shiftjis.enc
2025-09-07T06:18:26.6252500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp861.enc
2025-09-07T06:18:26.6253940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macRomania.enc
2025-09-07T06:18:26.6254990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp860.enc
2025-09-07T06:18:26.6256140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp874.enc
2025-09-07T06:18:26.6257570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cns11643.enc
2025-09-07T06:18:26.6258980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/koi8-t.enc
2025-09-07T06:18:26.6260380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macRoman.enc
2025-09-07T06:18:26.6261490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/jis0208.enc
2025-09-07T06:18:26.6262970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp862.enc
2025-09-07T06:18:26.6264080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/iso2022.enc
2025-09-07T06:18:26.6265560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macDingbats.enc
2025-09-07T06:18:26.6266830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp863.enc
2025-09-07T06:18:26.6268050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp866.enc
2025-09-07T06:18:26.6269300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/koi8-r.enc
2025-09-07T06:18:26.6270640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp737.enc
2025-09-07T06:18:26.6271760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/koi8-ru.enc
2025-09-07T06:18:26.6273200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp864.enc
2025-09-07T06:18:26.6274390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/macCroatian.enc
2025-09-07T06:18:26.6275830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/euc-cn.enc
2025-09-07T06:18:26.6276920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/encoding/cp865.enc
2025-09-07T06:18:26.6277960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/opt0.4/optparse.tcl
2025-09-07T06:18:26.6279330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/opt0.4/pkgIndex.tcl
2025-09-07T06:18:26.6280210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/tclIndex
2025-09-07T06:18:26.6281260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/kok.msg
2025-09-07T06:18:26.6282340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/sw.msg
2025-09-07T06:18:26.6283480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/pl.msg
2025-09-07T06:18:26.6284780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/fa.msg
2025-09-07T06:18:26.6285810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/de_at.msg
2025-09-07T06:18:26.6286980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/es_bo.msg
2025-09-07T06:18:26.6288090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/el.msg
2025-09-07T06:18:26.6289330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/sv.msg
2025-09-07T06:18:26.6290320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/gl_es.msg
2025-09-07T06:18:26.6291670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/en_bw.msg
2025-09-07T06:18:26.6292710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/fr_ca.msg
2025-09-07T06:18:26.6293860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tk-8.6.15-hcd8a7d5_0/lib/tcl8.6/msgs/fr_be.msg
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2025-09-07T06:18:26.6580240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/mojo.py
2025-09-07T06:18:26.6581770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jslt.py
2025-09-07T06:18:26.6583190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ul4.py
2025-09-07T06:18:26.6584720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/numbair.py
2025-09-07T06:18:26.6586130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/qvt.py
2025-09-07T06:18:26.6587710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tablegen.py
2025-09-07T06:18:26.6589160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/inferno.py
2025-09-07T06:18:26.6590600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tlb.py
2025-09-07T06:18:26.6592080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/nix.py
2025-09-07T06:18:26.6593620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/wren.py
2025-09-07T06:18:26.6595130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/parasail.py
2025-09-07T06:18:26.6596660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/smithy.py
2025-09-07T06:18:26.6598220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_css_builtins.py
2025-09-07T06:18:26.6599730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/graphviz.py
2025-09-07T06:18:26.6601130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/r.py
2025-09-07T06:18:26.6602680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pawn.py
2025-09-07T06:18:26.6604330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dns.py
2025-09-07T06:18:26.6605730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/maple.py
2025-09-07T06:18:26.6607200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/idl.py
2025-09-07T06:18:26.6608720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/iolang.py
2025-09-07T06:18:26.6610180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/amdgpu.py
2025-09-07T06:18:26.6611630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dsls.py
2025-09-07T06:18:26.6613210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/supercollider.py
2025-09-07T06:18:26.6614550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/comal.py
2025-09-07T06:18:26.6616000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/solidity.py
2025-09-07T06:18:26.6617750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_scilab_builtins.py
2025-09-07T06:18:26.6619540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_lilypond_builtins.py
2025-09-07T06:18:26.6621170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/hare.py
2025-09-07T06:18:26.6622860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/lisp.py
2025-09-07T06:18:26.6624550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/j.py
2025-09-07T06:18:26.6625790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/blueprint.py
2025-09-07T06:18:26.6627660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/mosel.py
2025-09-07T06:18:26.6629300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_googlesql_builtins.py
2025-09-07T06:18:26.6630980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_vbscript_builtins.py
2025-09-07T06:18:26.6632600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_openedge_builtins.py
2025-09-07T06:18:26.6634000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/smalltalk.py
2025-09-07T06:18:26.6635400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/spice.py
2025-09-07T06:18:26.6637110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/monte.py
2025-09-07T06:18:26.6638870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_luau_builtins.py
2025-09-07T06:18:26.6640350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/webmisc.py
2025-09-07T06:18:26.6641720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/teal.py
2025-09-07T06:18:26.6643030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/c_cpp.py
2025-09-07T06:18:26.6644410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/perl.py
2025-09-07T06:18:26.6645970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/robotframework.py
2025-09-07T06:18:26.6647460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/textfmts.py
2025-09-07T06:18:26.6648980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jsonnet.py
2025-09-07T06:18:26.6650360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/cplint.py
2025-09-07T06:18:26.6651780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jsx.py
2025-09-07T06:18:26.6653270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/prolog.py
2025-09-07T06:18:26.6654610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rnc.py
2025-09-07T06:18:26.6656030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/wowtoc.py
2025-09-07T06:18:26.6657620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_julia_builtins.py
2025-09-07T06:18:26.6659020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/algebra.py
2025-09-07T06:18:26.6660550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/typoscript.py
2025-09-07T06:18:26.6662190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/automation.py
2025-09-07T06:18:26.6663620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sieve.py
2025-09-07T06:18:26.6665320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/esoteric.py
2025-09-07T06:18:26.6666690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/graph.py
2025-09-07T06:18:26.6668090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/html.py
2025-09-07T06:18:26.6669670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_php_builtins.py
2025-09-07T06:18:26.6671340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/shell.py
2025-09-07T06:18:26.6672800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/scripting.py
2025-09-07T06:18:26.6674360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gsql.py
2025-09-07T06:18:26.6676020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gdscript.py
2025-09-07T06:18:26.6677520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ambient.py
2025-09-07T06:18:26.6679160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/arrow.py
2025-09-07T06:18:26.6680760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/oberon.py
2025-09-07T06:18:26.6682580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_stata_builtins.py
2025-09-07T06:18:26.6684200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/floscript.py
2025-09-07T06:18:26.6685850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/resource.py
2025-09-07T06:18:26.6687410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__init__.py
2025-09-07T06:18:26.6688790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/d.py
2025-09-07T06:18:26.6690470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ruby.py
2025-09-07T06:18:26.6692000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/other.py
2025-09-07T06:18:26.6693470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pony.py
2025-09-07T06:18:26.6695140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/matlab.py
2025-09-07T06:18:26.6696750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/felix.py
2025-09-07T06:18:26.6698130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tnt.py
2025-09-07T06:18:26.6703930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_vim_builtins.py
2025-09-07T06:18:26.6704320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/freefem.py
2025-09-07T06:18:26.6704620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/thingsdb.py
2025-09-07T06:18:26.6704930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/teraterm.py
2025-09-07T06:18:26.6706230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/parsers.py
2025-09-07T06:18:26.6707770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jmespath.py
2025-09-07T06:18:26.6709280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/carbon.py
2025-09-07T06:18:26.6710850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/theorem.py
2025-09-07T06:18:26.6712370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/compiled.py
2025-09-07T06:18:26.6713880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/int_fiction.py
2025-09-07T06:18:26.6715600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_cocoa_builtins.py
2025-09-07T06:18:26.6717440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/maxima.cpython-313.pyc
2025-09-07T06:18:26.6719010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/hexdump.cpython-313.pyc
2025-09-07T06:18:26.6720450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/teal.cpython-313.pyc
2025-09-07T06:18:26.6721920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/elpi.cpython-313.pyc
2025-09-07T06:18:26.6723470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/templates.cpython-313.pyc
2025-09-07T06:18:26.6724860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/nimrod.cpython-313.pyc
2025-09-07T06:18:26.6726440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_usd_builtins.cpython-313.pyc
2025-09-07T06:18:26.6728370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ruby.cpython-313.pyc
2025-09-07T06:18:26.6730200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/html.cpython-313.pyc
2025-09-07T06:18:26.6731010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/prolog.cpython-313.pyc
2025-09-07T06:18:26.6732570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/factor.cpython-313.pyc
2025-09-07T06:18:26.6734510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/hdl.cpython-313.pyc
2025-09-07T06:18:26.6736470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/pointless.cpython-313.pyc
2025-09-07T06:18:26.6738410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rita.cpython-313.pyc
2025-09-07T06:18:26.6740380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_cocoa_builtins.cpython-313.pyc
2025-09-07T06:18:26.6742160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/pascal.cpython-313.pyc
2025-09-07T06:18:26.6744520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/trafficscript.cpython-313.pyc
2025-09-07T06:18:26.6746050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/verification.cpython-313.pyc
2025-09-07T06:18:26.6747820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/sophia.cpython-313.pyc
2025-09-07T06:18:26.6749760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/x10.cpython-313.pyc
2025-09-07T06:18:26.6751660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/thingsdb.cpython-313.pyc
2025-09-07T06:18:26.6753610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/freefem.cpython-313.pyc
2025-09-07T06:18:26.6755400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/yara.cpython-313.pyc
2025-09-07T06:18:26.6757250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/forth.cpython-313.pyc
2025-09-07T06:18:26.6759180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/foxpro.cpython-313.pyc
2025-09-07T06:18:26.6760930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dsls.cpython-313.pyc
2025-09-07T06:18:26.6762760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/mojo.cpython-313.pyc
2025-09-07T06:18:26.6764770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/pony.cpython-313.pyc
2025-09-07T06:18:26.6766720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/verifpal.cpython-313.pyc
2025-09-07T06:18:26.6768500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/nit.cpython-313.pyc
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2025-09-07T06:18:26.6772350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/web.cpython-313.pyc
2025-09-07T06:18:26.6774040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/email.cpython-313.pyc
2025-09-07T06:18:26.6775910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/make.cpython-313.pyc
2025-09-07T06:18:26.6777850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/webidl.cpython-313.pyc
2025-09-07T06:18:26.6779570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/typst.cpython-313.pyc
2025-09-07T06:18:26.6781520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/json5.cpython-313.pyc
2025-09-07T06:18:26.6783340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/xorg.cpython-313.pyc
2025-09-07T06:18:26.6785330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/maple.cpython-313.pyc
2025-09-07T06:18:26.6787120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/bqn.cpython-313.pyc
2025-09-07T06:18:26.6788920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/lean.cpython-313.pyc
2025-09-07T06:18:26.6790770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/blueprint.cpython-313.pyc
2025-09-07T06:18:26.6792570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/shell.cpython-313.pyc
2025-09-07T06:18:26.6794430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_stan_builtins.cpython-313.pyc
2025-09-07T06:18:26.6796280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ptx.cpython-313.pyc
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2025-09-07T06:18:26.6800210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/installers.cpython-313.pyc
2025-09-07T06:18:26.6802120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/functional.cpython-313.pyc
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2025-09-07T06:18:26.6805840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/qvt.cpython-313.pyc
2025-09-07T06:18:26.6807570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/sgf.cpython-313.pyc
2025-09-07T06:18:26.6809390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dalvik.cpython-313.pyc
2025-09-07T06:18:26.6811090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/idl.cpython-313.pyc
2025-09-07T06:18:26.6812890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ada.cpython-313.pyc
2025-09-07T06:18:26.6814690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/data.cpython-313.pyc
2025-09-07T06:18:26.6816560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tal.cpython-313.pyc
2025-09-07T06:18:26.6818340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/wren.cpython-313.pyc
2025-09-07T06:18:26.6820180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/asc.cpython-313.pyc
2025-09-07T06:18:26.6822070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/apdlexer.cpython-313.pyc
2025-09-07T06:18:26.6823820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/csound.cpython-313.pyc
2025-09-07T06:18:26.6825800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/urbi.cpython-313.pyc
2025-09-07T06:18:26.6827560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/slash.cpython-313.pyc
2025-09-07T06:18:26.6829430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/arturo.cpython-313.pyc
2025-09-07T06:18:26.6831180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/numbair.cpython-313.pyc
2025-09-07T06:18:26.6833160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/int_fiction.cpython-313.pyc
2025-09-07T06:18:26.6835050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/asn1.cpython-313.pyc
2025-09-07T06:18:26.6836890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/inferno.cpython-313.pyc
2025-09-07T06:18:26.6838720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/openscad.cpython-313.pyc
2025-09-07T06:18:26.6840460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/lilypond.cpython-313.pyc
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2025-09-07T06:18:26.6844180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/soong.cpython-313.pyc
2025-09-07T06:18:26.6845950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/igor.cpython-313.pyc
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2025-09-07T06:18:26.6849740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/esoteric.cpython-313.pyc
2025-09-07T06:18:26.6851660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/qlik.cpython-313.pyc
2025-09-07T06:18:26.6853400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/r.cpython-313.pyc
2025-09-07T06:18:26.6855350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_lasso_builtins.cpython-313.pyc
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2025-09-07T06:18:26.6864620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/stata.cpython-313.pyc
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2025-09-07T06:18:26.6871910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/jsonnet.cpython-313.pyc
2025-09-07T06:18:26.6873900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_lilypond_builtins.cpython-313.pyc
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2025-09-07T06:18:26.6881130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/bibtex.cpython-313.pyc
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2025-09-07T06:18:26.6884890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/floscript.cpython-313.pyc
2025-09-07T06:18:26.6886640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/cddl.cpython-313.pyc
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2025-09-07T06:18:26.6896290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/capnproto.cpython-313.pyc
2025-09-07T06:18:26.6898040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dns.cpython-313.pyc
2025-09-07T06:18:26.6899900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/c_cpp.cpython-313.pyc
2025-09-07T06:18:26.6901970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_qlik_builtins.cpython-313.pyc
2025-09-07T06:18:26.6903940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/modeling.cpython-313.pyc
2025-09-07T06:18:26.6905720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/boa.cpython-313.pyc
2025-09-07T06:18:26.6907720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/iolang.cpython-313.pyc
2025-09-07T06:18:26.6909710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/sql.cpython-313.pyc
2025-09-07T06:18:26.6911340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/testing.cpython-313.pyc
2025-09-07T06:18:26.6912820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/prql.cpython-313.pyc
2025-09-07T06:18:26.6914270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/haskell.cpython-313.pyc
2025-09-07T06:18:26.6916130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tls.cpython-313.pyc
2025-09-07T06:18:26.6917500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_julia_builtins.cpython-313.pyc
2025-09-07T06:18:26.6918870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/resource.cpython-313.pyc
2025-09-07T06:18:26.6920440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/mime.cpython-313.pyc
2025-09-07T06:18:26.6921950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_postgres_builtins.cpython-313.pyc
2025-09-07T06:18:26.6923360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/praat.cpython-313.pyc
2025-09-07T06:18:26.6924810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/kusto.cpython-313.pyc
2025-09-07T06:18:26.6926240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/go.cpython-313.pyc
2025-09-07T06:18:26.6927840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tablegen.cpython-313.pyc
2025-09-07T06:18:26.6929270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/text.cpython-313.pyc
2025-09-07T06:18:26.6930880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/gcodelexer.cpython-313.pyc
2025-09-07T06:18:26.6932230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/graph.cpython-313.pyc
2025-09-07T06:18:26.6933670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/elm.cpython-313.pyc
2025-09-07T06:18:26.6935150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/chapel.cpython-313.pyc
2025-09-07T06:18:26.6936620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/arrow.cpython-313.pyc
2025-09-07T06:18:26.6938140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/graphviz.cpython-313.pyc
2025-09-07T06:18:26.6939700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_lua_builtins.cpython-313.pyc
2025-09-07T06:18:26.6941140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/bare.cpython-313.pyc
2025-09-07T06:18:26.6942700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ampl.cpython-313.pyc
2025-09-07T06:18:26.6945400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_cl_builtins.cpython-313.pyc
2025-09-07T06:18:26.6946590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tact.cpython-313.pyc
2025-09-07T06:18:26.6948720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/minecraft.cpython-313.pyc
2025-09-07T06:18:26.6950750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rnc.cpython-313.pyc
2025-09-07T06:18:26.6952810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/scripting.cpython-313.pyc
2025-09-07T06:18:26.6954940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_mysql_builtins.cpython-313.pyc
2025-09-07T06:18:26.6956780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/diff.cpython-313.pyc
2025-09-07T06:18:26.6958820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/futhark.cpython-313.pyc
2025-09-07T06:18:26.6960910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/gleam.cpython-313.pyc
2025-09-07T06:18:26.6962840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/teraterm.cpython-313.pyc
2025-09-07T06:18:26.6964840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rego.cpython-313.pyc
2025-09-07T06:18:26.6967080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_scilab_builtins.cpython-313.pyc
2025-09-07T06:18:26.6969000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/spice.cpython-313.pyc
2025-09-07T06:18:26.6970980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/sas.cpython-313.pyc
2025-09-07T06:18:26.6972880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/solidity.cpython-313.pyc
2025-09-07T06:18:26.6974790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/fortran.cpython-313.pyc
2025-09-07T06:18:26.6976670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/meson.cpython-313.pyc
2025-09-07T06:18:26.6978490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/berry.cpython-313.pyc
2025-09-07T06:18:26.6980260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/css.cpython-313.pyc
2025-09-07T06:18:26.6982110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/modula2.cpython-313.pyc
2025-09-07T06:18:26.6984080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/parsers.cpython-313.pyc
2025-09-07T06:18:26.6986040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/textedit.cpython-313.pyc
2025-09-07T06:18:26.6987870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/smv.cpython-313.pyc
2025-09-07T06:18:26.6989790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/mosel.cpython-313.pyc
2025-09-07T06:18:26.6991690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/savi.cpython-313.pyc
2025-09-07T06:18:26.6993570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/robotframework.cpython-313.pyc
2025-09-07T06:18:26.6995230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/jvm.cpython-313.pyc
2025-09-07T06:18:26.6997210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/supercollider.cpython-313.pyc
2025-09-07T06:18:26.6998970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/objective.cpython-313.pyc
2025-09-07T06:18:26.7000850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ncl.cpython-313.pyc
2025-09-07T06:18:26.7002740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/automation.cpython-313.pyc
2025-09-07T06:18:26.7004540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/yang.cpython-313.pyc
2025-09-07T06:18:26.7006460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/usd.cpython-313.pyc
2025-09-07T06:18:26.7008350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ambient.cpython-313.pyc
2025-09-07T06:18:26.7010260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/c_like.cpython-313.pyc
2025-09-07T06:18:26.7012130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/fift.cpython-313.pyc
2025-09-07T06:18:26.7014070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/algebra.cpython-313.pyc
2025-09-07T06:18:26.7015810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ml.cpython-313.pyc
2025-09-07T06:18:26.7017530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/j.cpython-313.pyc
2025-09-07T06:18:26.7019440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_csound_builtins.cpython-313.pyc
2025-09-07T06:18:26.7021260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rust.cpython-313.pyc
2025-09-07T06:18:26.7023180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/nix.cpython-313.pyc
2025-09-07T06:18:26.7025120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/amdgpu.cpython-313.pyc
2025-09-07T06:18:26.7027140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_sourcemod_builtins.cpython-313.pyc
2025-09-07T06:18:26.7028980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/graphql.cpython-313.pyc
2025-09-07T06:18:26.7030910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/cplint.cpython-313.pyc
2025-09-07T06:18:26.7032790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ride.cpython-313.pyc
2025-09-07T06:18:26.7034640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rebol.cpython-313.pyc
2025-09-07T06:18:26.7036520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/matlab.cpython-313.pyc
2025-09-07T06:18:26.7038340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/codeql.cpython-313.pyc
2025-09-07T06:18:26.7040240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/webassembly.cpython-313.pyc
2025-09-07T06:18:26.7042120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tcl.cpython-313.pyc
2025-09-07T06:18:26.7043980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/snobol.cpython-313.pyc
2025-09-07T06:18:26.7046070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/gdscript.cpython-313.pyc
2025-09-07T06:18:26.7048040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/varnish.cpython-313.pyc
2025-09-07T06:18:26.7049970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/oberon.cpython-313.pyc
2025-09-07T06:18:26.7051810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/haxe.cpython-313.pyc
2025-09-07T06:18:26.7053570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ldap.cpython-313.pyc
2025-09-07T06:18:26.7055450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/bdd.cpython-313.pyc
2025-09-07T06:18:26.7057260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/markup.cpython-313.pyc
2025-09-07T06:18:26.7059210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/archetype.cpython-313.pyc
2025-09-07T06:18:26.7060980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/julia.cpython-313.pyc
2025-09-07T06:18:26.7063000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/scdoc.cpython-313.pyc
2025-09-07T06:18:26.7064800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/unicon.cpython-313.pyc
2025-09-07T06:18:26.7066540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/vyper.cpython-313.pyc
2025-09-07T06:18:26.7068530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/erlang.cpython-313.pyc
2025-09-07T06:18:26.7070310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tnt.cpython-313.pyc
2025-09-07T06:18:26.7072320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/php.cpython-313.pyc
2025-09-07T06:18:26.7074230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/pawn.cpython-313.pyc
2025-09-07T06:18:26.7076130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/devicetree.cpython-313.pyc
2025-09-07T06:18:26.7078020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/javascript.cpython-313.pyc
2025-09-07T06:18:26.7079690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/phix.cpython-313.pyc
2025-09-07T06:18:26.7081710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/actionscript.cpython-313.pyc
2025-09-07T06:18:26.7083440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_mapping.cpython-313.pyc
2025-09-07T06:18:26.7085440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/webmisc.cpython-313.pyc
2025-09-07T06:18:26.7087300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_php_builtins.cpython-313.pyc
2025-09-07T06:18:26.7089020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/typoscript.cpython-313.pyc
2025-09-07T06:18:26.7090950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/python.cpython-313.pyc
2025-09-07T06:18:26.7093160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_tsql_builtins.cpython-313.pyc
2025-09-07T06:18:26.7094970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/eiffel.cpython-313.pyc
2025-09-07T06:18:26.7097020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/jmespath.cpython-313.pyc
2025-09-07T06:18:26.7098940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/business.cpython-313.pyc
2025-09-07T06:18:26.7101030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_openedge_builtins.cpython-313.pyc
2025-09-07T06:18:26.7102790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/math.cpython-313.pyc
2025-09-07T06:18:26.7104340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/monte.cpython-313.pyc
2025-09-07T06:18:26.7105940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_vbscript_builtins.cpython-313.pyc
2025-09-07T06:18:26.7107310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/func.cpython-313.pyc
2025-09-07T06:18:26.7108810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/zig.cpython-313.pyc
2025-09-07T06:18:26.7110180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/wgsl.cpython-313.pyc
2025-09-07T06:18:26.7111910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/theorem.cpython-313.pyc
2025-09-07T06:18:26.7113260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/rdf.cpython-313.pyc
2025-09-07T06:18:26.7114730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/lisp.cpython-313.pyc
2025-09-07T06:18:26.7116300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_stata_builtins.cpython-313.pyc
2025-09-07T06:18:26.7117800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/comal.cpython-313.pyc
2025-09-07T06:18:26.7119140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/d.cpython-313.pyc
2025-09-07T06:18:26.7120610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/crystal.cpython-313.pyc
2025-09-07T06:18:26.7122180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_css_builtins.cpython-313.pyc
2025-09-07T06:18:26.7123670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/roboconf.cpython-313.pyc
2025-09-07T06:18:26.7125200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_asy_builtins.cpython-313.pyc
2025-09-07T06:18:26.7126920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_mql_builtins.cpython-313.pyc
2025-09-07T06:18:26.7128560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/ezhil.cpython-313.pyc
2025-09-07T06:18:26.7130430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/carbon.cpython-313.pyc
2025-09-07T06:18:26.7132310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/felix.cpython-313.pyc
2025-09-07T06:18:26.7134210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/configs.cpython-313.pyc
2025-09-07T06:18:26.7136100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/other.cpython-313.pyc
2025-09-07T06:18:26.7138050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/fantom.cpython-313.pyc
2025-09-07T06:18:26.7139960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/parasail.cpython-313.pyc
2025-09-07T06:18:26.7142000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:26.7143850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dylan.cpython-313.pyc
2025-09-07T06:18:26.7145910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_scheme_builtins.cpython-313.pyc
2025-09-07T06:18:26.7147760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/sieve.cpython-313.pyc
2025-09-07T06:18:26.7149720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/grammar_notation.cpython-313.pyc
2025-09-07T06:18:26.7151440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/wowtoc.cpython-313.pyc
2025-09-07T06:18:26.7153270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/q.cpython-313.pyc
2025-09-07T06:18:26.7155040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/kuin.cpython-313.pyc
2025-09-07T06:18:26.7157080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/hare.cpython-313.pyc
2025-09-07T06:18:26.7159030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dax.cpython-313.pyc
2025-09-07T06:18:26.7161250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/_googlesql_builtins.cpython-313.pyc
2025-09-07T06:18:26.7163200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/pddl.cpython-313.pyc
2025-09-07T06:18:26.7165090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/jsx.cpython-313.pyc
2025-09-07T06:18:26.7166990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/textfmts.cpython-313.pyc
2025-09-07T06:18:26.7168930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/vip.cpython-313.pyc
2025-09-07T06:18:26.7170840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/console.cpython-313.pyc
2025-09-07T06:18:26.7172500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/apl.cpython-313.pyc
2025-09-07T06:18:26.7174460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/smithy.cpython-313.pyc
2025-09-07T06:18:26.7176470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/clean.cpython-313.pyc
2025-09-07T06:18:26.7178240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/tlb.cpython-313.pyc
2025-09-07T06:18:26.7180040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/smalltalk.cpython-313.pyc
2025-09-07T06:18:26.7181840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/promql.cpython-313.pyc
2025-09-07T06:18:26.7183740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/__pycache__/dotnet.cpython-313.pyc
2025-09-07T06:18:26.7185100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ncl.py
2025-09-07T06:18:26.7186600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/vyper.py
2025-09-07T06:18:26.7188430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/lilypond.py
2025-09-07T06:18:26.7189880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/markup.py
2025-09-07T06:18:26.7191500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pddl.py
2025-09-07T06:18:26.7193210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_asy_builtins.py
2025-09-07T06:18:26.7194770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/igor.py
2025-09-07T06:18:26.7196290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ml.py
2025-09-07T06:18:26.7197890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/savi.py
2025-09-07T06:18:26.7199480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bqn.py
2025-09-07T06:18:26.7201040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tal.py
2025-09-07T06:18:26.7202660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tls.py
2025-09-07T06:18:26.7204300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/templates.py
2025-09-07T06:18:26.7205930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/forth.py
2025-09-07T06:18:26.7207440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/css.py
2025-09-07T06:18:26.7209030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/asm.py
2025-09-07T06:18:26.7210600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/roboconf.py
2025-09-07T06:18:26.7212300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_lasso_builtins.py
2025-09-07T06:18:26.7213840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pascal.py
2025-09-07T06:18:26.7215430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/csound.py
2025-09-07T06:18:26.7216970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/typst.py
2025-09-07T06:18:26.7218580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ptx.py
2025-09-07T06:18:26.7220050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sgf.py
2025-09-07T06:18:26.7221570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/kusto.py
2025-09-07T06:18:26.7223170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/webassembly.py
2025-09-07T06:18:26.7224700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/procfile.py
2025-09-07T06:18:26.7226330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/functional.py
2025-09-07T06:18:26.7227850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/codeql.py
2025-09-07T06:18:26.7229540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/textedit.py
2025-09-07T06:18:26.7231110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/installers.py
2025-09-07T06:18:26.7232670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/business.py
2025-09-07T06:18:26.7234390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tcl.py
2025-09-07T06:18:26.7236080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/minecraft.py
2025-09-07T06:18:26.7237690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/vip.py
2025-09-07T06:18:26.7239210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/mips.py
2025-09-07T06:18:26.7240920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/meson.py
2025-09-07T06:18:26.7242720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/basic.py
2025-09-07T06:18:26.7244430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_stan_builtins.py
2025-09-07T06:18:26.7245970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/prql.py
2025-09-07T06:18:26.7247440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/eiffel.py
2025-09-07T06:18:26.7249090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/scdoc.py
2025-09-07T06:18:26.7250610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dax.py
2025-09-07T06:18:26.7252140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rdf.py
2025-09-07T06:18:26.7253730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gleam.py
2025-09-07T06:18:26.7255360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/email.py
2025-09-07T06:18:26.7256820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sophia.py
2025-09-07T06:18:26.7258420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/modula2.py
2025-09-07T06:18:26.7259930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/nit.py
2025-09-07T06:18:26.7261660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/actionscript.py
2025-09-07T06:18:26.7263180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/qlik.py
2025-09-07T06:18:26.7264840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/text.py
2025-09-07T06:18:26.7266240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/apl.py
2025-09-07T06:18:26.7268040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_cl_builtins.py
2025-09-07T06:18:26.7269700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_mql_builtins.py
2025-09-07T06:18:26.7271410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/srcinfo.py
2025-09-07T06:18:26.7272880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rego.py
2025-09-07T06:18:26.7274490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/archetype.py
2025-09-07T06:18:26.7276100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/python.py
2025-09-07T06:18:26.7277890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_csound_builtins.py
2025-09-07T06:18:26.7279510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/factor.py
2025-09-07T06:18:26.7281000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dalvik.py
2025-09-07T06:18:26.7282480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/go.py
2025-09-07T06:18:26.7284160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/berry.py
2025-09-07T06:18:26.7285870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/unicon.py
2025-09-07T06:18:26.7287340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_usd_builtins.py
2025-09-07T06:18:26.7289110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/cddl.py
2025-09-07T06:18:26.7290770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dylan.py
2025-09-07T06:18:26.7292270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/make.py
2025-09-07T06:18:26.7293810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/diff.py
2025-09-07T06:18:26.7295470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/xorg.py
2025-09-07T06:18:26.7297130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/trafficscript.py
2025-09-07T06:18:26.7298380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/kuin.py
2025-09-07T06:18:26.7299540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/jvm.py
2025-09-07T06:18:26.7300820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/smv.py
2025-09-07T06:18:26.7302130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/math.py
2025-09-07T06:18:26.7303520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/tact.py
2025-09-07T06:18:26.7305000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/promql.py
2025-09-07T06:18:26.7306620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/php.py
2025-09-07T06:18:26.7308250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/sql.py
2025-09-07T06:18:26.7309790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/x10.py
2025-09-07T06:18:26.7311230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/json5.py
2025-09-07T06:18:26.7312910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_mapping.py
2025-09-07T06:18:26.7314500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/gcodelexer.py
2025-09-07T06:18:26.7316060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/praat.py
2025-09-07T06:18:26.7317680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/lean.py
2025-09-07T06:18:26.7319190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bibtex.py
2025-09-07T06:18:26.7320870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/whiley.py
2025-09-07T06:18:26.7322730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/q.py
2025-09-07T06:18:26.7324040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/snobol.py
2025-09-07T06:18:26.7325820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_mysql_builtins.py
2025-09-07T06:18:26.7327370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/webidl.py
2025-09-07T06:18:26.7329040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rita.py
2025-09-07T06:18:26.7330640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/haskell.py
2025-09-07T06:18:26.7332160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/testing.py
2025-09-07T06:18:26.7333750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/fortran.py
2025-09-07T06:18:26.7335280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/modeling.py
2025-09-07T06:18:26.7336800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/arturo.py
2025-09-07T06:18:26.7338530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/varnish.py
2025-09-07T06:18:26.7340110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/elm.py
2025-09-07T06:18:26.7341450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/asc.py
2025-09-07T06:18:26.7343120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/javascript.py
2025-09-07T06:18:26.7344800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ooc.py
2025-09-07T06:18:26.7346290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bdd.py
2025-09-07T06:18:26.7348220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/julia.py
2025-09-07T06:18:26.7349530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/hexdump.py
2025-09-07T06:18:26.7351180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/foxpro.py
2025-09-07T06:18:26.7352780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/stata.py
2025-09-07T06:18:26.7354270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/zig.py
2025-09-07T06:18:26.7356000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/grammar_notation.py
2025-09-07T06:18:26.7357590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/bare.py
2025-09-07T06:18:26.7359080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/openscad.py
2025-09-07T06:18:26.7360640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/dotnet.py
2025-09-07T06:18:26.7362320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/fantom.py
2025-09-07T06:18:26.7363980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/special.py
2025-09-07T06:18:26.7365460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/yang.py
2025-09-07T06:18:26.7367020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/fift.py
2025-09-07T06:18:26.7368640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ezhil.py
2025-09-07T06:18:26.7370030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/ride.py
2025-09-07T06:18:26.7371750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_scheme_builtins.py
2025-09-07T06:18:26.7373450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/devicetree.py
2025-09-07T06:18:26.7375090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/macaulay2.py
2025-09-07T06:18:26.7376820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/urbi.py
2025-09-07T06:18:26.7378530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/haxe.py
2025-09-07T06:18:26.7379860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/func.py
2025-09-07T06:18:26.7381420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/data.py
2025-09-07T06:18:26.7383210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_ada_builtins.py
2025-09-07T06:18:26.7384720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/yara.py
2025-09-07T06:18:26.7386220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/pointless.py
2025-09-07T06:18:26.7387770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/asn1.py
2025-09-07T06:18:26.7389560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/_tsql_builtins.py
2025-09-07T06:18:26.7391060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/wgsl.py
2025-09-07T06:18:26.7392990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/lexers/rust.py
2025-09-07T06:18:26.7394070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/token.py
2025-09-07T06:18:26.7395710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/style.py
2025-09-07T06:18:26.7397230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/util.py
2025-09-07T06:18:26.7398680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/sphinxext.py
2025-09-07T06:18:26.7400170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/cmdline.py
2025-09-07T06:18:26.7401810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__init__.py
2025-09-07T06:18:26.7403400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/terminal.py
2025-09-07T06:18:26.7405020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/html.py
2025-09-07T06:18:26.7406670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/irc.py
2025-09-07T06:18:26.7408400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__init__.py
2025-09-07T06:18:26.7409980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/other.py
2025-09-07T06:18:26.7412020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/html.cpython-313.pyc
2025-09-07T06:18:26.7414160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/pangomarkup.cpython-313.pyc
2025-09-07T06:18:26.7416030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/img.cpython-313.pyc
2025-09-07T06:18:26.7417840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/groff.cpython-313.pyc
2025-09-07T06:18:26.7419680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/svg.cpython-313.pyc
2025-09-07T06:18:26.7421540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/latex.cpython-313.pyc
2025-09-07T06:18:26.7423630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/bbcode.cpython-313.pyc
2025-09-07T06:18:26.7425630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/terminal256.cpython-313.pyc
2025-09-07T06:18:26.7427590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/irc.cpython-313.pyc
2025-09-07T06:18:26.7429480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/terminal.cpython-313.pyc
2025-09-07T06:18:26.7431390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/_mapping.cpython-313.pyc
2025-09-07T06:18:26.7433300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/rtf.cpython-313.pyc
2025-09-07T06:18:26.7435330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/other.cpython-313.pyc
2025-09-07T06:18:26.7437350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:26.7438800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/img.py
2025-09-07T06:18:26.7440430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/terminal256.py
2025-09-07T06:18:26.7442120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/rtf.py
2025-09-07T06:18:26.7443530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/svg.py
2025-09-07T06:18:26.7445180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/bbcode.py
2025-09-07T06:18:26.7446820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/pangomarkup.py
2025-09-07T06:18:26.7448400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/_mapping.py
2025-09-07T06:18:26.7449970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/groff.py
2025-09-07T06:18:26.7451540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/formatters/latex.py
2025-09-07T06:18:26.7453390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/formatter.cpython-313.pyc
2025-09-07T06:18:26.7455050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/regexopt.cpython-313.pyc
2025-09-07T06:18:26.7456930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/scanner.cpython-313.pyc
2025-09-07T06:18:26.7459020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/lexer.cpython-313.pyc
2025-09-07T06:18:26.7460680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/plugin.cpython-313.pyc
2025-09-07T06:18:26.7462450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/style.cpython-313.pyc
2025-09-07T06:18:26.7464250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/token.cpython-313.pyc
2025-09-07T06:18:26.7466090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/unistring.cpython-313.pyc
2025-09-07T06:18:26.7468080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/modeline.cpython-313.pyc
2025-09-07T06:18:26.7469850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/util.cpython-313.pyc
2025-09-07T06:18:26.7471940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/cmdline.cpython-313.pyc
2025-09-07T06:18:26.7473840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/sphinxext.cpython-313.pyc
2025-09-07T06:18:26.7475790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/filter.cpython-313.pyc
2025-09-07T06:18:26.7477480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/__main__.cpython-313.pyc
2025-09-07T06:18:26.7479210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:26.7481020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/__pycache__/console.cpython-313.pyc
2025-09-07T06:18:26.7482640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/sas.py
2025-09-07T06:18:26.7484110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/material.py
2025-09-07T06:18:26.7485800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/friendly_grayscale.py
2025-09-07T06:18:26.7487370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/pastie.py
2025-09-07T06:18:26.7488840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/onedark.py
2025-09-07T06:18:26.7490400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/inkpot.py
2025-09-07T06:18:26.7492010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/xcode.py
2025-09-07T06:18:26.7493570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/gruvbox.py
2025-09-07T06:18:26.7495200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/monokai.py
2025-09-07T06:18:26.7496480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/tango.py
2025-09-07T06:18:26.7498100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/friendly.py
2025-09-07T06:18:26.7499720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/staroffice.py
2025-09-07T06:18:26.7501330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/paraiso_dark.py
2025-09-07T06:18:26.7502990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/solarized.py
2025-09-07T06:18:26.7504680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__init__.py
2025-09-07T06:18:26.7506350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/algol_nu.py
2025-09-07T06:18:26.7508040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/gh_dark.py
2025-09-07T06:18:26.7509600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/native.py
2025-09-07T06:18:26.7511610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/xcode.cpython-313.pyc
2025-09-07T06:18:26.7513390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/algol.cpython-313.pyc
2025-09-07T06:18:26.7515360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/colorful.cpython-313.pyc
2025-09-07T06:18:26.7517300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/borland.cpython-313.pyc
2025-09-07T06:18:26.7519330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/arduino.cpython-313.pyc
2025-09-07T06:18:26.7521170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/onedark.cpython-313.pyc
2025-09-07T06:18:26.7523030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/stata_dark.cpython-313.pyc
2025-09-07T06:18:26.7525100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/fruity.cpython-313.pyc
2025-09-07T06:18:26.7527170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/lightbulb.cpython-313.pyc
2025-09-07T06:18:26.7528950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/algol_nu.cpython-313.pyc
2025-09-07T06:18:26.7530890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/lilypond.cpython-313.pyc
2025-09-07T06:18:26.7532890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/gh_dark.cpython-313.pyc
2025-09-07T06:18:26.7534640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/manni.cpython-313.pyc
2025-09-07T06:18:26.7536410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/igor.cpython-313.pyc
2025-09-07T06:18:26.7538390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/material.cpython-313.pyc
2025-09-07T06:18:26.7540260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/murphy.cpython-313.pyc
2025-09-07T06:18:26.7542230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/lovelace.cpython-313.pyc
2025-09-07T06:18:26.7544000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/vs.cpython-313.pyc
2025-09-07T06:18:26.7545830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/nord.cpython-313.pyc
2025-09-07T06:18:26.7547730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/inkpot.cpython-313.pyc
2025-09-07T06:18:26.7549550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pygments-2.19.1-py313hca03da5_0/lib/python3.13/site-packages/pygments/styles/__pycache__/coffee.cpython-313.pyc
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2025-09-07T06:18:26.8776680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp949.py
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2025-09-07T06:18:26.8782130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/hp_roman8.py
2025-09-07T06:18:26.8783380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/koi8_r.py
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2025-09-07T06:18:26.8786270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/gbk.py
2025-09-07T06:18:26.8787750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/johab.py
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2025-09-07T06:18:26.8790480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_15.py
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2025-09-07T06:18:26.8793490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_iceland.py
2025-09-07T06:18:26.8794900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_3.py
2025-09-07T06:18:26.8796260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_greek.py
2025-09-07T06:18:26.8797570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/rot_13.py
2025-09-07T06:18:26.8798990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/utf_16_be.py
2025-09-07T06:18:26.8800400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/euc_kr.py
2025-09-07T06:18:26.8801830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/euc_jisx0213.py
2025-09-07T06:18:26.8803100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp863.py
2025-09-07T06:18:26.8804580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/ascii.py
2025-09-07T06:18:26.8806070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/iso8859_8.py
2025-09-07T06:18:26.8807500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp857.py
2025-09-07T06:18:26.8808920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/utf_32_be.py
2025-09-07T06:18:26.8810230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp1258.py
2025-09-07T06:18:26.8811480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/oem.py
2025-09-07T06:18:26.8813090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/mac_latin2.py
2025-09-07T06:18:26.8814380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp775.py
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2025-09-07T06:18:26.8818530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp852.py
2025-09-07T06:18:26.8819980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/shift_jisx0213.py
2025-09-07T06:18:26.8821320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/cp866.py
2025-09-07T06:18:26.8822600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/encodings/utf_7.py
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2025-09-07T06:18:26.9390220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/__phello__/spam.py
2025-09-07T06:18:26.9391520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/__phello__/__init__.py
2025-09-07T06:18:26.9393380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/__phello__/__pycache__/spam.cpython-313.pyc
2025-09-07T06:18:26.9395160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/__phello__/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:26.9396400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/_ios_support.py
2025-09-07T06:18:26.9397770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/wave.py
2025-09-07T06:18:26.9398880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/weakref.py
2025-09-07T06:18:26.9400630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/_sysconfigdata_arm64_apple_darwin20_0_0.py
2025-09-07T06:18:26.9401840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/bisect.py
2025-09-07T06:18:26.9403170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/opcode.py
2025-09-07T06:18:26.9404470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/netrc.py
2025-09-07T06:18:26.9405820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/heapq.py
2025-09-07T06:18:26.9407180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pathlib/_local.py
2025-09-07T06:18:26.9408610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pathlib/_abc.py
2025-09-07T06:18:26.9410060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pathlib/__init__.py
2025-09-07T06:18:26.9411690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pathlib/__pycache__/_abc.cpython-313.pyc
2025-09-07T06:18:26.9413370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pathlib/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:26.9414860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pathlib/__pycache__/_local.cpython-313.pyc
2025-09-07T06:18:26.9415940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/functools.py
2025-09-07T06:18:26.9417190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/modulefinder.py
2025-09-07T06:18:26.9418490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/_compression.py
2025-09-07T06:18:26.9419780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/tracemalloc.py
2025-09-07T06:18:26.9421050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/hashlib.py
2025-09-07T06:18:26.9422340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/codeop.py
2025-09-07T06:18:26.9423940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/turtle.cfg
2025-09-07T06:18:26.9425200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/tree.py
2025-09-07T06:18:26.9426740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/round_dance.py
2025-09-07T06:18:26.9428210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/colormixer.py
2025-09-07T06:18:26.9429540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/bytedesign.py
2025-09-07T06:18:26.9431030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/chaos.py
2025-09-07T06:18:26.9432340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/clock.py
2025-09-07T06:18:26.9433920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/sorting_animate.py
2025-09-07T06:18:26.9435280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/paint.py
2025-09-07T06:18:26.9436850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__init__.py
2025-09-07T06:18:26.9438480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/lindenmayer.py
2025-09-07T06:18:26.9440080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/clock.cpython-313.pyc
2025-09-07T06:18:26.9441630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/forest.cpython-313.pyc
2025-09-07T06:18:26.9443540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/lindenmayer.cpython-313.pyc
2025-09-07T06:18:26.9445380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/sorting_animate.cpython-313.pyc
2025-09-07T06:18:26.9446880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/chaos.cpython-313.pyc
2025-09-07T06:18:26.9448680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/penrose.cpython-313.pyc
2025-09-07T06:18:26.9450330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/paint.cpython-313.pyc
2025-09-07T06:18:26.9452050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/peace.cpython-313.pyc
2025-09-07T06:18:26.9453810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/planet_and_moon.cpython-313.pyc
2025-09-07T06:18:26.9455450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/rosette.cpython-313.pyc
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2025-09-07T06:18:26.9458750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/two_canvases.cpython-313.pyc
2025-09-07T06:18:26.9460550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/round_dance.cpython-313.pyc
2025-09-07T06:18:26.9462250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/fractalcurves.cpython-313.pyc
2025-09-07T06:18:26.9463940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/nim.cpython-313.pyc
2025-09-07T06:18:26.9465740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/colormixer.cpython-313.pyc
2025-09-07T06:18:26.9467330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/yinyang.cpython-313.pyc
2025-09-07T06:18:26.9469290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/__main__.cpython-313.pyc
2025-09-07T06:18:26.9470980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/minimal_hanoi.cpython-313.pyc
2025-09-07T06:18:26.9472680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:26.9474380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__pycache__/bytedesign.cpython-313.pyc
2025-09-07T06:18:26.9475690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/penrose.py
2025-09-07T06:18:26.9477020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/peace.py
2025-09-07T06:18:26.9478420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/rosette.py
2025-09-07T06:18:26.9480060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/nim.py
2025-09-07T06:18:26.9481100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/yinyang.py
2025-09-07T06:18:26.9482260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/fractalcurves.py
2025-09-07T06:18:26.9483440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/planet_and_moon.py
2025-09-07T06:18:26.9484520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/forest.py
2025-09-07T06:18:26.9485860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/two_canvases.py
2025-09-07T06:18:26.9487300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/__main__.py
2025-09-07T06:18:26.9488750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtledemo/minimal_hanoi.py
2025-09-07T06:18:26.9489920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/fnmatch.py
2025-09-07T06:18:26.9491500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/dummy/__init__.py
2025-09-07T06:18:26.9493430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/dummy/__pycache__/connection.cpython-313.pyc
2025-09-07T06:18:26.9495270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/dummy/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:26.9496740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/dummy/connection.py
2025-09-07T06:18:26.9498220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/queues.py
2025-09-07T06:18:26.9499770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/heap.py
2025-09-07T06:18:26.9501350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/shared_memory.py
2025-09-07T06:18:26.9503020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/resource_tracker.py
2025-09-07T06:18:26.9504450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/reduction.py
2025-09-07T06:18:26.9505810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/util.py
2025-09-07T06:18:26.9507450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/popen_spawn_win32.py
2025-09-07T06:18:26.9508970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__init__.py
2025-09-07T06:18:26.9510810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/resource_tracker.cpython-313.pyc
2025-09-07T06:18:26.9512670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/shared_memory.cpython-313.pyc
2025-09-07T06:18:26.9514630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/spawn.cpython-313.pyc
2025-09-07T06:18:26.9516420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/managers.cpython-313.pyc
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2025-09-07T06:18:26.9519940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/pool.cpython-313.pyc
2025-09-07T06:18:26.9521670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/synchronize.cpython-313.pyc
2025-09-07T06:18:26.9523460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/popen_spawn_win32.cpython-313.pyc
2025-09-07T06:18:26.9525340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/popen_spawn_posix.cpython-313.pyc
2025-09-07T06:18:26.9526990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/context.cpython-313.pyc
2025-09-07T06:18:26.9528780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/sharedctypes.cpython-313.pyc
2025-09-07T06:18:26.9530480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/forkserver.cpython-313.pyc
2025-09-07T06:18:26.9532210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/popen_fork.cpython-313.pyc
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2025-09-07T06:18:26.9535680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/util.cpython-313.pyc
2025-09-07T06:18:26.9537420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/resource_sharer.cpython-313.pyc
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2025-09-07T06:18:26.9540990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/reduction.cpython-313.pyc
2025-09-07T06:18:26.9542940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/multiprocessing/__pycache__/connection.cpython-313.pyc
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2025-09-07T06:18:26.9634880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/genericpath.py
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2025-09-07T06:18:26.9639090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/tkinter/scrolledtext.py
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2025-09-07T06:18:26.9933110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/xml/parsers/expat.py
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2025-09-07T06:18:27.0000550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pdb.py
2025-09-07T06:18:27.0001860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/threading.py
2025-09-07T06:18:27.0007370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/turtle.py
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2025-09-07T06:18:27.0007900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/pstats.py
2025-09-07T06:18:27.0008110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/glob.py
2025-09-07T06:18:27.0008340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/python-3.13.5-h2eb94d5_100_cp313/lib/python3.13/quopri.py
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2025-09-07T06:18:27.1052470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Atlantic/South_Georgia
2025-09-07T06:18:27.1053530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Atlantic/St_Helena
2025-09-07T06:18:27.1054380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Atlantic/Jan_Mayen
2025-09-07T06:18:27.1055360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Atlantic/Faeroe
2025-09-07T06:18:27.1056300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Atlantic/Reykjavik
2025-09-07T06:18:27.1057280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Atlantic/Cape_Verde
2025-09-07T06:18:27.1058200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Atlantic/Azores
2025-09-07T06:18:27.1059160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Atlantic/Madeira
2025-09-07T06:18:27.1060000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/CST6CDT
2025-09-07T06:18:27.1061240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Poland
2025-09-07T06:18:27.1062330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Alaska
2025-09-07T06:18:27.1063420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Pacific
2025-09-07T06:18:27.1064570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Eastern
2025-09-07T06:18:27.1065660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Michigan
2025-09-07T06:18:27.1066890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Arizona
2025-09-07T06:18:27.1068120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Indiana-Starke
2025-09-07T06:18:27.1069190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Aleutian
2025-09-07T06:18:27.1070370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Hawaii
2025-09-07T06:18:27.1071640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/East-Indiana
2025-09-07T06:18:27.1072750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Central
2025-09-07T06:18:27.1073860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Mountain
2025-09-07T06:18:27.1075080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/US/Samoa
2025-09-07T06:18:27.1076260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Kwajalein
2025-09-07T06:18:27.1077450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/leapseconds
2025-09-07T06:18:27.1078790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Brazil/DeNoronha
2025-09-07T06:18:27.1079880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Brazil/Acre
2025-09-07T06:18:27.1081060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Brazil/East
2025-09-07T06:18:27.1082210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Brazil/West
2025-09-07T06:18:27.1083620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Port_Moresby
2025-09-07T06:18:27.1084760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Chuuk
2025-09-07T06:18:27.1085970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Easter
2025-09-07T06:18:27.1087170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Kwajalein
2025-09-07T06:18:27.1088390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Tongatapu
2025-09-07T06:18:27.1089500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Yap
2025-09-07T06:18:27.1090670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Wallis
2025-09-07T06:18:27.1091860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Apia
2025-09-07T06:18:27.1093040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Norfolk
2025-09-07T06:18:27.1094140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Efate
2025-09-07T06:18:27.1095270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Fiji
2025-09-07T06:18:27.1096520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Funafuti
2025-09-07T06:18:27.1097680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Palau
2025-09-07T06:18:27.1098850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Guam
2025-09-07T06:18:27.1100080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Saipan
2025-09-07T06:18:27.1101140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Kosrae
2025-09-07T06:18:27.1102490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Niue
2025-09-07T06:18:27.1103720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Ponape
2025-09-07T06:18:27.1104840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Wake
2025-09-07T06:18:27.1106090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Galapagos
2025-09-07T06:18:27.1107240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Johnston
2025-09-07T06:18:27.1108380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Midway
2025-09-07T06:18:27.1109550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Nauru
2025-09-07T06:18:27.1110900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Guadalcanal
2025-09-07T06:18:27.1112040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Chatham
2025-09-07T06:18:27.1113420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Auckland
2025-09-07T06:18:27.1114600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Noumea
2025-09-07T06:18:27.1115900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Fakaofo
2025-09-07T06:18:27.1117070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Tahiti
2025-09-07T06:18:27.1118260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Gambier
2025-09-07T06:18:27.1119340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Majuro
2025-09-07T06:18:27.1120880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Honolulu
2025-09-07T06:18:27.1121760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Pohnpei
2025-09-07T06:18:27.1122930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Pago_Pago
2025-09-07T06:18:27.1123990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Truk
2025-09-07T06:18:27.1125180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Pitcairn
2025-09-07T06:18:27.1126410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Marquesas
2025-09-07T06:18:27.1127590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Kanton
2025-09-07T06:18:27.1128950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Bougainville
2025-09-07T06:18:27.1130110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Tarawa
2025-09-07T06:18:27.1131330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Rarotonga
2025-09-07T06:18:27.1132450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Samoa
2025-09-07T06:18:27.1133640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Kiritimati
2025-09-07T06:18:27.1135080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Pacific/Enderbury
2025-09-07T06:18:27.1136320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/zone1970.tab
2025-09-07T06:18:27.1137440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/MST
2025-09-07T06:18:27.1138730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/NZ
2025-09-07T06:18:27.1139720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Arctic/Longyearbyen
2025-09-07T06:18:27.1140760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Universal
2025-09-07T06:18:27.1141810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Libya
2025-09-07T06:18:27.1142830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Turkey
2025-09-07T06:18:27.1144020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/iso3166.tab
2025-09-07T06:18:27.1145010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/EST5EDT
2025-09-07T06:18:27.1146160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Greenwich
2025-09-07T06:18:27.1147400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Puerto_Rico
2025-09-07T06:18:27.1148610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Recife
2025-09-07T06:18:27.1149810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Resolute
2025-09-07T06:18:27.1151090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Manaus
2025-09-07T06:18:27.1152270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/New_York
2025-09-07T06:18:27.1153610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rankin_Inlet
2025-09-07T06:18:27.1154760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Lima
2025-09-07T06:18:27.1156020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Barthelemy
2025-09-07T06:18:27.1157320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Santo_Domingo
2025-09-07T06:18:27.1158490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Detroit
2025-09-07T06:18:27.1159600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Paramaribo
2025-09-07T06:18:27.1160880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Yakutat
2025-09-07T06:18:27.1162010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Santarem
2025-09-07T06:18:27.1163360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Punta_Arenas
2025-09-07T06:18:27.1164570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Scoresbysund
2025-09-07T06:18:27.1165830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Santiago
2025-09-07T06:18:27.1167120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guyana
2025-09-07T06:18:27.1168350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Coral_Harbour
2025-09-07T06:18:27.1169520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rio_Branco
2025-09-07T06:18:27.1170800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Porto_Acre
2025-09-07T06:18:27.1172020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Ciudad_Juarez
2025-09-07T06:18:27.1173220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nipigon
2025-09-07T06:18:27.1174460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Edmonton
2025-09-07T06:18:27.1175770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Port_of_Spain
2025-09-07T06:18:27.1177050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Lower_Princes
2025-09-07T06:18:27.1178300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Thomas
2025-09-07T06:18:27.1179480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guatemala
2025-09-07T06:18:27.1180770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Catamarca
2025-09-07T06:18:27.1182000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Antigua
2025-09-07T06:18:27.1183250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Porto_Velho
2025-09-07T06:18:27.1184470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rosario
2025-09-07T06:18:27.1185630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Chicago
2025-09-07T06:18:27.1186840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Creston
2025-09-07T06:18:27.1188040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Managua
2025-09-07T06:18:27.1189240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nassau
2025-09-07T06:18:27.1190390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Bogota
2025-09-07T06:18:27.1191660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cancun
2025-09-07T06:18:27.1192830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Chihuahua
2025-09-07T06:18:27.1193980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Campo_Grande
2025-09-07T06:18:27.1195200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Halifax
2025-09-07T06:18:27.1196430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Boise
2025-09-07T06:18:27.1197570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Montreal
2025-09-07T06:18:27.1198700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Goose_Bay
2025-09-07T06:18:27.1199820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Sao_Paulo
2025-09-07T06:18:27.1201080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Blanc-Sablon
2025-09-07T06:18:27.1202360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Phoenix
2025-09-07T06:18:27.1203570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Atikokan
2025-09-07T06:18:27.1204820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cayenne
2025-09-07T06:18:27.1205960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nuuk
2025-09-07T06:18:27.1207310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Santa_Isabel
2025-09-07T06:18:27.1208510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Boa_Vista
2025-09-07T06:18:27.1209830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Bahia_Banderas
2025-09-07T06:18:27.1211080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Vevay
2025-09-07T06:18:27.1212450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Indianapolis
2025-09-07T06:18:27.1213670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Winamac
2025-09-07T06:18:27.1215120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Tell_City
2025-09-07T06:18:27.1216780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Petersburg
2025-09-07T06:18:27.1217850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Vincennes
2025-09-07T06:18:27.1218950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Knox
2025-09-07T06:18:27.1220270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indiana/Marengo
2025-09-07T06:18:27.1221510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Indianapolis
2025-09-07T06:18:27.1222610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Dominica
2025-09-07T06:18:27.1223870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Salta
2025-09-07T06:18:27.1225290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Ushuaia
2025-09-07T06:18:27.1226760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Catamarca
2025-09-07T06:18:27.1228190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/ComodRivadavia
2025-09-07T06:18:27.1229490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/San_Juan
2025-09-07T06:18:27.1230950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/San_Luis
2025-09-07T06:18:27.1232390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Rio_Gallegos
2025-09-07T06:18:27.1233720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Jujuy
2025-09-07T06:18:27.1235100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Tucuman
2025-09-07T06:18:27.1236460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Buenos_Aires
2025-09-07T06:18:27.1237700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Cordoba
2025-09-07T06:18:27.1239030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/La_Rioja
2025-09-07T06:18:27.1240360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Argentina/Mendoza
2025-09-07T06:18:27.1241520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/La_Paz
2025-09-07T06:18:27.1242610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Dawson
2025-09-07T06:18:27.1243670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Moncton
2025-09-07T06:18:27.1244610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Matamoros
2025-09-07T06:18:27.1245600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Vincent
2025-09-07T06:18:27.1246670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Regina
2025-09-07T06:18:27.1247510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Yellowknife
2025-09-07T06:18:27.1248630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Rainy_River
2025-09-07T06:18:27.1249490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Kralendijk
2025-09-07T06:18:27.1250560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Monterrey
2025-09-07T06:18:27.1251760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Jamaica
2025-09-07T06:18:27.1253100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Havana
2025-09-07T06:18:27.1254290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Tegucigalpa
2025-09-07T06:18:27.1255540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guayaquil
2025-09-07T06:18:27.1256760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Metlakatla
2025-09-07T06:18:27.1257970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Mazatlan
2025-09-07T06:18:27.1259150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Belize
2025-09-07T06:18:27.1260550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Knox_IN
2025-09-07T06:18:27.1261750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cuiaba
2025-09-07T06:18:27.1262880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Merida
2025-09-07T06:18:27.1263990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Jujuy
2025-09-07T06:18:27.1265190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cayman
2025-09-07T06:18:27.1266330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Belem
2025-09-07T06:18:27.1267550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Eirunepe
2025-09-07T06:18:27.1268890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Lucia
2025-09-07T06:18:27.1270030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Bahia
2025-09-07T06:18:27.1271390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Whitehorse
2025-09-07T06:18:27.1272540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Tortola
2025-09-07T06:18:27.1273680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Vancouver
2025-09-07T06:18:27.1274960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Inuvik
2025-09-07T06:18:27.1276170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Port-au-Prince
2025-09-07T06:18:27.1277410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Fortaleza
2025-09-07T06:18:27.1278590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Noronha
2025-09-07T06:18:27.1279740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Buenos_Aires
2025-09-07T06:18:27.1281040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Los_Angeles
2025-09-07T06:18:27.1282320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/El_Salvador
2025-09-07T06:18:27.1283430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Denver
2025-09-07T06:18:27.1284740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Fort_Wayne
2025-09-07T06:18:27.1286090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Kentucky/Louisville
2025-09-07T06:18:27.1287550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Kentucky/Monticello
2025-09-07T06:18:27.1288840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/North_Dakota/New_Salem
2025-09-07T06:18:27.1290190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/North_Dakota/Center
2025-09-07T06:18:27.1291470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/North_Dakota/Beulah
2025-09-07T06:18:27.1292700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Glace_Bay
2025-09-07T06:18:27.1293910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Montserrat
2025-09-07T06:18:27.1295190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Toronto
2025-09-07T06:18:27.1296330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Panama
2025-09-07T06:18:27.1297500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cordoba
2025-09-07T06:18:27.1298740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Louisville
2025-09-07T06:18:27.1299880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Ensenada
2025-09-07T06:18:27.1301080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Shiprock
2025-09-07T06:18:27.1302270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Ojinaga
2025-09-07T06:18:27.1303460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Thule
2025-09-07T06:18:27.1304670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Caracas
2025-09-07T06:18:27.1305880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Araguaina
2025-09-07T06:18:27.1307150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Cambridge_Bay
2025-09-07T06:18:27.1308350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Winnipeg
2025-09-07T06:18:27.1309620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Grand_Turk
2025-09-07T06:18:27.1310870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Virgin
2025-09-07T06:18:27.1312110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Anchorage
2025-09-07T06:18:27.1313410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Costa_Rica
2025-09-07T06:18:27.1314560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Nome
2025-09-07T06:18:27.1315920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Grenada
2025-09-07T06:18:27.1317110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Johns
2025-09-07T06:18:27.1318270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Atka
2025-09-07T06:18:27.1319550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Asuncion
2025-09-07T06:18:27.1320820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Hermosillo
2025-09-07T06:18:27.1322060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Tijuana
2025-09-07T06:18:27.1323250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Marigot
2025-09-07T06:18:27.1324390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Juneau
2025-09-07T06:18:27.1325690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Montevideo
2025-09-07T06:18:27.1326840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Godthab
2025-09-07T06:18:27.1328230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Guadeloupe
2025-09-07T06:18:27.1329360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Maceio
2025-09-07T06:18:27.1330650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Pangnirtung
2025-09-07T06:18:27.1331850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/St_Kitts
2025-09-07T06:18:27.1333030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Barbados
2025-09-07T06:18:27.1334190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Iqaluit
2025-09-07T06:18:27.1335380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Menominee
2025-09-07T06:18:27.1336610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Martinique
2025-09-07T06:18:27.1337920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Mexico_City
2025-09-07T06:18:27.1339140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Swift_Current
2025-09-07T06:18:27.1340380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Miquelon
2025-09-07T06:18:27.1341630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Curacao
2025-09-07T06:18:27.1342960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Dawson_Creek
2025-09-07T06:18:27.1344120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Mendoza
2025-09-07T06:18:27.1345200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Adak
2025-09-07T06:18:27.1346610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Coyhaique
2025-09-07T06:18:27.1347780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Thunder_Bay
2025-09-07T06:18:27.1348950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Aruba
2025-09-07T06:18:27.1350110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Fort_Nelson
2025-09-07T06:18:27.1351530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Sitka
2025-09-07T06:18:27.1352740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Anguilla
2025-09-07T06:18:27.1354050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/America/Danmarkshavn
2025-09-07T06:18:27.1355270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Melbourne
2025-09-07T06:18:27.1356550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Queensland
2025-09-07T06:18:27.1357720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/North
2025-09-07T06:18:27.1358940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Lord_Howe
2025-09-07T06:18:27.1360150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Adelaide
2025-09-07T06:18:27.1361380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Yancowinna
2025-09-07T06:18:27.1362710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Victoria
2025-09-07T06:18:27.1363700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Canberra
2025-09-07T06:18:27.1364900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Sydney
2025-09-07T06:18:27.1366050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/ACT
2025-09-07T06:18:27.1367390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Eucla
2025-09-07T06:18:27.1368570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Brisbane
2025-09-07T06:18:27.1369750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Tasmania
2025-09-07T06:18:27.1371120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Hobart
2025-09-07T06:18:27.1372270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Perth
2025-09-07T06:18:27.1373380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/South
2025-09-07T06:18:27.1374610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Lindeman
2025-09-07T06:18:27.1375790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Darwin
2025-09-07T06:18:27.1377010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/West
2025-09-07T06:18:27.1378160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/LHI
2025-09-07T06:18:27.1379360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/NSW
2025-09-07T06:18:27.1380590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Broken_Hill
2025-09-07T06:18:27.1381880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Australia/Currie
2025-09-07T06:18:27.1382820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-10
2025-09-07T06:18:27.1383970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+12
2025-09-07T06:18:27.1385000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-11
2025-09-07T06:18:27.1386210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/Universal
2025-09-07T06:18:27.1387440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/Greenwich
2025-09-07T06:18:27.1388510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-6
2025-09-07T06:18:27.1389670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-1
2025-09-07T06:18:27.1390760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-8
2025-09-07T06:18:27.1391910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+4
2025-09-07T06:18:27.1393120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+3
2025-09-07T06:18:27.1394270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-9
2025-09-07T06:18:27.1395430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-0
2025-09-07T06:18:27.1396420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-7
2025-09-07T06:18:27.1397490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+2
2025-09-07T06:18:27.1398710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+5
2025-09-07T06:18:27.1399780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT
2025-09-07T06:18:27.1400960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/Zulu
2025-09-07T06:18:27.1402000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+11
2025-09-07T06:18:27.1403230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-13
2025-09-07T06:18:27.1404260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-14
2025-09-07T06:18:27.1405450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+10
2025-09-07T06:18:27.1406640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-12
2025-09-07T06:18:27.1407710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT0
2025-09-07T06:18:27.1408830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/UCT
2025-09-07T06:18:27.1409880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+0
2025-09-07T06:18:27.1411010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+7
2025-09-07T06:18:27.1412070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+9
2025-09-07T06:18:27.1413180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-2
2025-09-07T06:18:27.1414370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-5
2025-09-07T06:18:27.1415490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+8
2025-09-07T06:18:27.1416610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+6
2025-09-07T06:18:27.1417690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT+1
2025-09-07T06:18:27.1418780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/UTC
2025-09-07T06:18:27.1419880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-4
2025-09-07T06:18:27.1421050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Etc/GMT-3
2025-09-07T06:18:27.1422170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/zonenow.tab
2025-09-07T06:18:27.1423340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/NZ-CHAT
2025-09-07T06:18:27.1424530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dushanbe
2025-09-07T06:18:27.1425790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Qostanay
2025-09-07T06:18:27.1426900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Calcutta
2025-09-07T06:18:27.1428070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Urumqi
2025-09-07T06:18:27.1429150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Karachi
2025-09-07T06:18:27.1430310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Khandyga
2025-09-07T06:18:27.1431450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Thimbu
2025-09-07T06:18:27.1432650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Thimphu
2025-09-07T06:18:27.1433820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Vladivostok
2025-09-07T06:18:27.1435050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Vientiane
2025-09-07T06:18:27.1436170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Shanghai
2025-09-07T06:18:27.1437380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ulan_Bator
2025-09-07T06:18:27.1438780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Aden
2025-09-07T06:18:27.1439890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Muscat
2025-09-07T06:18:27.1441050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Damascus
2025-09-07T06:18:27.1442320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Jerusalem
2025-09-07T06:18:27.1443390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Brunei
2025-09-07T06:18:27.1444210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ulaanbaatar
2025-09-07T06:18:27.1445120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Amman
2025-09-07T06:18:27.1446100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kuching
2025-09-07T06:18:27.1447050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tel_Aviv
2025-09-07T06:18:27.1447830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Seoul
2025-09-07T06:18:27.1448720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Atyrau
2025-09-07T06:18:27.1449780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Pyongyang
2025-09-07T06:18:27.1450550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Hovd
2025-09-07T06:18:27.1451560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Hebron
2025-09-07T06:18:27.1452330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kuwait
2025-09-07T06:18:27.1453280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tomsk
2025-09-07T06:18:27.1454530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Manila
2025-09-07T06:18:27.1455440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Chita
2025-09-07T06:18:27.1456730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Katmandu
2025-09-07T06:18:27.1457950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Gaza
2025-09-07T06:18:27.1459260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Samarkand
2025-09-07T06:18:27.1460390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Taipei
2025-09-07T06:18:27.1461560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tashkent
2025-09-07T06:18:27.1462940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yekaterinburg
2025-09-07T06:18:27.1464090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Macau
2025-09-07T06:18:27.1465200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Qyzylorda
2025-09-07T06:18:27.1466280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Macao
2025-09-07T06:18:27.1467430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tokyo
2025-09-07T06:18:27.1468460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Baku
2025-09-07T06:18:27.1469660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Barnaul
2025-09-07T06:18:27.1470820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Istanbul
2025-09-07T06:18:27.1471970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Irkutsk
2025-09-07T06:18:27.1473140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Qatar
2025-09-07T06:18:27.1474340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Bahrain
2025-09-07T06:18:27.1475630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yangon
2025-09-07T06:18:27.1476810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yerevan
2025-09-07T06:18:27.1477910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Almaty
2025-09-07T06:18:27.1479120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dili
2025-09-07T06:18:27.1480200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dacca
2025-09-07T06:18:27.1481310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Chongqing
2025-09-07T06:18:27.1482600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ust-Nera
2025-09-07T06:18:27.1483810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Magadan
2025-09-07T06:18:27.1484970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Colombo
2025-09-07T06:18:27.1486190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Krasnoyarsk
2025-09-07T06:18:27.1487430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kamchatka
2025-09-07T06:18:27.1488580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ujung_Pandang
2025-09-07T06:18:27.1489780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Jakarta
2025-09-07T06:18:27.1491000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kolkata
2025-09-07T06:18:27.1492090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kabul
2025-09-07T06:18:27.1497020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Oral
2025-09-07T06:18:27.1497280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Jayapura
2025-09-07T06:18:27.1497550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Pontianak
2025-09-07T06:18:27.1497760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Makassar
2025-09-07T06:18:27.1497980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tbilisi
2025-09-07T06:18:27.1498840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Singapore
2025-09-07T06:18:27.1500120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Harbin
2025-09-07T06:18:27.1501260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kashgar
2025-09-07T06:18:27.1502480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dhaka
2025-09-07T06:18:27.1503560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Yakutsk
2025-09-07T06:18:27.1504970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kuala_Lumpur
2025-09-07T06:18:27.1506120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Tehran
2025-09-07T06:18:27.1507230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Beirut
2025-09-07T06:18:27.1508550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Aqtobe
2025-09-07T06:18:27.1509750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Anadyr
2025-09-07T06:18:27.1510850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Bishkek
2025-09-07T06:18:27.1512070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Dubai
2025-09-07T06:18:27.1513340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Riyadh
2025-09-07T06:18:27.1514550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Novokuznetsk
2025-09-07T06:18:27.1515830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Aqtau
2025-09-07T06:18:27.1517010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Omsk
2025-09-07T06:18:27.1517940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ashkhabad
2025-09-07T06:18:27.1519060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Saigon
2025-09-07T06:18:27.1520280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Sakhalin
2025-09-07T06:18:27.1521590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Hong_Kong
2025-09-07T06:18:27.1522710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Phnom_Penh
2025-09-07T06:18:27.1523840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Nicosia
2025-09-07T06:18:27.1524990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Baghdad
2025-09-07T06:18:27.1526380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Srednekolymsk
2025-09-07T06:18:27.1527530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ashgabat
2025-09-07T06:18:27.1528710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Kathmandu
2025-09-07T06:18:27.1529870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Choibalsan
2025-09-07T06:18:27.1530970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Bangkok
2025-09-07T06:18:27.1532110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Chungking
2025-09-07T06:18:27.1533330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Novosibirsk
2025-09-07T06:18:27.1534410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Famagusta
2025-09-07T06:18:27.1535510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Rangoon
2025-09-07T06:18:27.1536790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Asia/Ho_Chi_Minh
2025-09-07T06:18:27.1537860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/MET
2025-09-07T06:18:27.1538840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Portugal
2025-09-07T06:18:27.1540090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Palmer
2025-09-07T06:18:27.1541290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Davis
2025-09-07T06:18:27.1542460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Rothera
2025-09-07T06:18:27.1543790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Vostok
2025-09-07T06:18:27.1544990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Syowa
2025-09-07T06:18:27.1546410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/DumontDUrville
2025-09-07T06:18:27.1547750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/McMurdo
2025-09-07T06:18:27.1549020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Macquarie
2025-09-07T06:18:27.1550260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/South_Pole
2025-09-07T06:18:27.1551560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Troll
2025-09-07T06:18:27.1552800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Mawson
2025-09-07T06:18:27.1554100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Antarctica/Casey
2025-09-07T06:18:27.1555010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GMT-0
2025-09-07T06:18:27.1556110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/CET
2025-09-07T06:18:27.1557180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Eire
2025-09-07T06:18:27.1558370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/PST8PDT
2025-09-07T06:18:27.1559580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/leap-seconds.list
2025-09-07T06:18:27.1560860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Jamaica
2025-09-07T06:18:27.1561720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GMT
2025-09-07T06:18:27.1562830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Zulu
2025-09-07T06:18:27.1563880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Japan
2025-09-07T06:18:27.1564900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/ROC
2025-09-07T06:18:27.1566170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/GB-Eire
2025-09-07T06:18:27.1567270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Zurich
2025-09-07T06:18:27.1568580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Paris
2025-09-07T06:18:27.1569830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Moscow
2025-09-07T06:18:27.1571140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Luxembourg
2025-09-07T06:18:27.1572250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Ljubljana
2025-09-07T06:18:27.1573420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Helsinki
2025-09-07T06:18:27.1574650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Minsk
2025-09-07T06:18:27.1575730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Skopje
2025-09-07T06:18:27.1576920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Dublin
2025-09-07T06:18:27.1578100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Jersey
2025-09-07T06:18:27.1579480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/San_Marino
2025-09-07T06:18:27.1580660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Gibraltar
2025-09-07T06:18:27.1581790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Belgrade
2025-09-07T06:18:27.1582970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Guernsey
2025-09-07T06:18:27.1584210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Ulyanovsk
2025-09-07T06:18:27.1585250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Saratov
2025-09-07T06:18:27.1586430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vaduz
2025-09-07T06:18:27.1587680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Istanbul
2025-09-07T06:18:27.1589080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Lisbon
2025-09-07T06:18:27.1590360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Uzhgorod
2025-09-07T06:18:27.1591470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kirov
2025-09-07T06:18:27.1592700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Tirane
2025-09-07T06:18:27.1593840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Tiraspol
2025-09-07T06:18:27.1594950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Sarajevo
2025-09-07T06:18:27.1596140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Madrid
2025-09-07T06:18:27.1597260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Podgorica
2025-09-07T06:18:27.1598490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Busingen
2025-09-07T06:18:27.1599750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vatican
2025-09-07T06:18:27.1600930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Belfast
2025-09-07T06:18:27.1602120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Bratislava
2025-09-07T06:18:27.1603240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kiev
2025-09-07T06:18:27.1604570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kaliningrad
2025-09-07T06:18:27.1605760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Zaporozhye
2025-09-07T06:18:27.1607100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vienna
2025-09-07T06:18:27.1608410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Budapest
2025-09-07T06:18:27.1609590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Vilnius
2025-09-07T06:18:27.1610760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Monaco
2025-09-07T06:18:27.1611840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Oslo
2025-09-07T06:18:27.1612980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Astrakhan
2025-09-07T06:18:27.1614230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Simferopol
2025-09-07T06:18:27.1615310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Volgograd
2025-09-07T06:18:27.1616430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Kyiv
2025-09-07T06:18:27.1617640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Isle_of_Man
2025-09-07T06:18:27.1618850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/London
2025-09-07T06:18:27.1620010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Riga
2025-09-07T06:18:27.1621170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Andorra
2025-09-07T06:18:27.1622330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Prague
2025-09-07T06:18:27.1623480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Berlin
2025-09-07T06:18:27.1624720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Tallinn
2025-09-07T06:18:27.1625920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Rome
2025-09-07T06:18:27.1627090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Malta
2025-09-07T06:18:27.1628350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Zagreb
2025-09-07T06:18:27.1629600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Amsterdam
2025-09-07T06:18:27.1630770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Nicosia
2025-09-07T06:18:27.1632010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Bucharest
2025-09-07T06:18:27.1633310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Copenhagen
2025-09-07T06:18:27.1634450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Chisinau
2025-09-07T06:18:27.1635600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Mariehamn
2025-09-07T06:18:27.1636820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Sofia
2025-09-07T06:18:27.1638030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Athens
2025-09-07T06:18:27.1639180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Stockholm
2025-09-07T06:18:27.1640570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Samara
2025-09-07T06:18:27.1642000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tzdata-2025b-h04d1e81_0/share/zoneinfo/Europe/Brussels
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2025-09-07T06:18:27.2437410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/conda-25.7.0-py313hca03da5_0/lib/python3.13/site-packages/conda/exception_handler.py
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2025-09-07T06:18:27.2480150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/conda-25.7.0-py313hca03da5_0/lib/python3.13/site-packages/conda/gateways/repodata/jlap/core.py
2025-09-07T06:18:27.2482390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/conda-25.7.0-py313hca03da5_0/lib/python3.13/site-packages/conda/gateways/repodata/jlap/__pycache__/interface.cpython-313.pyc
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2025-09-07T06:18:27.2537660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/conda-25.7.0-py313hca03da5_0/lib/python3.13/site-packages/conda/reporters.py
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2025-09-07T06:18:27.2551600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/conda-25.7.0-py313hca03da5_0/lib/python3.13/site-packages/conda/auxlib/ish.py
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2025-09-07T06:18:27.2566680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/conda-25.7.0-py313hca03da5_0/lib/python3.13/site-packages/conda/auxlib/__pycache__/decorators.cpython-313.pyc
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2025-09-07T06:18:27.2572460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/conda-25.7.0-py313hca03da5_0/lib/python3.13/site-packages/conda/auxlib/__pycache__/type_coercion.cpython-313.pyc
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2025-09-07T06:18:27.3258470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/color.py
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2025-09-07T06:18:27.3272570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/containers.py
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2025-09-07T06:18:27.3275350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/traceback.py
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2025-09-07T06:18:27.3283270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_null_file.py
2025-09-07T06:18:27.3284520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_palettes.py
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2025-09-07T06:18:27.3288490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/file_proxy.py
2025-09-07T06:18:27.3289690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/palette.py
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2025-09-07T06:18:27.3294860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/constrain.py
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2025-09-07T06:18:27.3297600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/diagnose.py
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2025-09-07T06:18:27.3302850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/pager.py
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2025-09-07T06:18:27.3306610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_spinners.py
2025-09-07T06:18:27.3308080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/terminal_theme.py
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2025-09-07T06:18:27.3317160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/progress_bar.py
2025-09-07T06:18:27.3318290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/errors.py
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2025-09-07T06:18:27.3322360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/ansi.py
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2025-09-07T06:18:27.3325030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_stack.py
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2025-09-07T06:18:27.3327620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/_cell_widths.py
2025-09-07T06:18:27.3328950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/cells.py
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2025-09-07T06:18:27.3331490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/panel.py
2025-09-07T06:18:27.3332770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/styled.py
2025-09-07T06:18:27.3333990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/spinner.py
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2025-09-07T06:18:27.3347000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/rich/color_triplet.py
2025-09-07T06:18:27.3348390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/tomli_w/_writer.py
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2025-09-07T06:18:27.3353660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/fields.py
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2025-09-07T06:18:27.3356310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/ssltransport.py
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2025-09-07T06:18:27.3367470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/retry.py
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2025-09-07T06:18:27.3370100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/util/connection.py
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2025-09-07T06:18:27.3377380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/poolmanager.py
2025-09-07T06:18:27.3378590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/response.py
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2025-09-07T06:18:27.3381790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/contrib/__init__.py
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2025-09-07T06:18:27.3385000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pip-25.1-pyhc872135_2/site-packages/pip/_vendor/urllib3/contrib/_appengine_environ.py
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2025-09-07T06:18:27.3538990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/schriter.h
2025-09-07T06:18:27.3540040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/msgfmt.h
2025-09-07T06:18:27.3541190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/fieldpos.h
2025-09-07T06:18:27.3542340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/simpletz.h
2025-09-07T06:18:27.3543420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucpmap.h
2025-09-07T06:18:27.3544630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uldnames.h
2025-09-07T06:18:27.3545750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unumberformatter.h
2025-09-07T06:18:27.3546870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uiter.h
2025-09-07T06:18:27.3547930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/umsg.h
2025-09-07T06:18:27.3548920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/sortkey.h
2025-09-07T06:18:27.3550150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/simplenumberformatter.h
2025-09-07T06:18:27.3551200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/docmain.h
2025-09-07T06:18:27.3552230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uniset.h
2025-09-07T06:18:27.3553200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/basictz.h
2025-09-07T06:18:27.3554330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udata.h
2025-09-07T06:18:27.3555720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/stringtriebuilder.h
2025-09-07T06:18:27.3556770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/chariter.h
2025-09-07T06:18:27.3557890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/umisc.h
2025-09-07T06:18:27.3558860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/reldatefmt.h
2025-09-07T06:18:27.3559960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uloc.h
2025-09-07T06:18:27.3560970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/plurrule.h
2025-09-07T06:18:27.3562090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uformattednumber.h
2025-09-07T06:18:27.3563310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/bytestriebuilder.h
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2025-09-07T06:18:27.3565610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utrace.h
2025-09-07T06:18:27.3566630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/locdspnm.h
2025-09-07T06:18:27.3567780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/gregocal.h
2025-09-07T06:18:27.3568930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uchriter.h
2025-09-07T06:18:27.3570000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/enumset.h
2025-09-07T06:18:27.3571010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/nounit.h
2025-09-07T06:18:27.3572110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utf.h
2025-09-07T06:18:27.3573230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/measure.h
2025-09-07T06:18:27.3574220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tzrule.h
2025-09-07T06:18:27.3575390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/strenum.h
2025-09-07T06:18:27.3576530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/regex.h
2025-09-07T06:18:27.3577520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/gender.h
2025-09-07T06:18:27.3578550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dcfmtsym.h
2025-09-07T06:18:27.3579630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnv_err.h
2025-09-07T06:18:27.3580760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/decimfmt.h
2025-09-07T06:18:27.3581900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/bytestrie.h
2025-09-07T06:18:27.3583030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udatpg.h
2025-09-07T06:18:27.3584250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/listformatter.h
2025-09-07T06:18:27.3585300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uobject.h
2025-09-07T06:18:27.3586440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/calendar.h
2025-09-07T06:18:27.3587570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ures.h
2025-09-07T06:18:27.3588550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/normlzr.h
2025-09-07T06:18:27.3589590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/usprep.h
2025-09-07T06:18:27.3590690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/urename.h
2025-09-07T06:18:27.3591700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/caniter.h
2025-09-07T06:18:27.3592680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucol.h
2025-09-07T06:18:27.3593790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/upluralrules.h
2025-09-07T06:18:27.3594990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucharstrie.h
2025-09-07T06:18:27.3596220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tmunit.h
2025-09-07T06:18:27.3597010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unistr.h
2025-09-07T06:18:27.3597990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/rbbi.h
2025-09-07T06:18:27.3599140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ulocdata.h
2025-09-07T06:18:27.3600220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/idna.h
2025-09-07T06:18:27.3601230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unorm2.h
2025-09-07T06:18:27.3602400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/localebuilder.h
2025-09-07T06:18:27.3603470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dtptngen.h
2025-09-07T06:18:27.3604560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dbbi.h
2025-09-07T06:18:27.3605580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/bytestream.h
2025-09-07T06:18:27.3606580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uversion.h
2025-09-07T06:18:27.3607830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/messagepattern.h
2025-09-07T06:18:27.3608900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uidna.h
2025-09-07T06:18:27.3609910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/filteredbrk.h
2025-09-07T06:18:27.3610850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tmutamt.h
2025-09-07T06:18:27.3611640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/char16ptr.h
2025-09-07T06:18:27.3612680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uformattedvalue.h
2025-09-07T06:18:27.3613460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/symtable.h
2025-09-07T06:18:27.3614390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucasemap.h
2025-09-07T06:18:27.3615370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucoleitr.h
2025-09-07T06:18:27.3616380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/compactdecimalformat.h
2025-09-07T06:18:27.3617140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unum.h
2025-09-07T06:18:27.3618090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udisplaycontext.h
2025-09-07T06:18:27.3618970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tztrans.h
2025-09-07T06:18:27.3620020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/umachine.h
2025-09-07T06:18:27.3620730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/numberformatter.h
2025-09-07T06:18:27.3621520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/datefmt.h
2025-09-07T06:18:27.3622390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utmscale.h
2025-09-07T06:18:27.3623230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/coll.h
2025-09-07T06:18:27.3624290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/currpinf.h
2025-09-07T06:18:27.3624880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uregex.h
2025-09-07T06:18:27.3625720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/tmutfmt.h
2025-09-07T06:18:27.3626560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/plurfmt.h
2025-09-07T06:18:27.3627510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ustringtrie.h
2025-09-07T06:18:27.3628330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/smpdtfmt.h
2025-09-07T06:18:27.3629150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucptrie.h
2025-09-07T06:18:27.3630110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udisplayoptions.h
2025-09-07T06:18:27.3630960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/icudataver.h
2025-09-07T06:18:27.3631780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uchar.h
2025-09-07T06:18:27.3632590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unorm.h
2025-09-07T06:18:27.3633430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ushape.h
2025-09-07T06:18:27.3634300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unifunct.h
2025-09-07T06:18:27.3635160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ugender.h
2025-09-07T06:18:27.3636100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/selfmt.h
2025-09-07T06:18:27.3637260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uformattable.h
2025-09-07T06:18:27.3638330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ustream.h
2025-09-07T06:18:27.3639620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/simpleformatter.h
2025-09-07T06:18:27.3640690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnv_cb.h
2025-09-07T06:18:27.3641810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/curramt.h
2025-09-07T06:18:27.3642880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/locid.h
2025-09-07T06:18:27.3644230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/udateintervalformat.h
2025-09-07T06:18:27.3645330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/resbund.h
2025-09-07T06:18:27.3646410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ubidi.h
2025-09-07T06:18:27.3647410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/stsearch.h
2025-09-07T06:18:27.3648570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/alphaindex.h
2025-09-07T06:18:27.3649610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uvernum.h
2025-09-07T06:18:27.3650770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unimatch.h
2025-09-07T06:18:27.3651730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/rbtz.h
2025-09-07T06:18:27.3652860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnvsel.h
2025-09-07T06:18:27.3653890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uspoof.h
2025-09-07T06:18:27.3654890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/region.h
2025-09-07T06:18:27.3655990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ureldatefmt.h
2025-09-07T06:18:27.3656990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/utrans.h
2025-09-07T06:18:27.3658030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/parseerr.h
2025-09-07T06:18:27.3659010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/putil.h
2025-09-07T06:18:27.3660060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/format.h
2025-09-07T06:18:27.3661320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/scientificnumberformatter.h
2025-09-07T06:18:27.3662540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/displayoptions.h
2025-09-07T06:18:27.3663660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/normalizer2.h
2025-09-07T06:18:27.3664670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/dtrule.h
2025-09-07T06:18:27.3665880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unumberoptions.h
2025-09-07T06:18:27.3666900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucnv.h
2025-09-07T06:18:27.3668140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/ucharstriebuilder.h
2025-09-07T06:18:27.3669280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/search.h
2025-09-07T06:18:27.3670190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/unumsys.h
2025-09-07T06:18:27.3671260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/icu-73.1-h313beb8_0/include/unicode/uconfig.h
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2025-09-07T06:18:27.3817800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/__pycache__/android.cpython-313.pyc
2025-09-07T06:18:27.3819810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/__pycache__/windows.cpython-313.pyc
2025-09-07T06:18:27.3821600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/__pycache__/macos.cpython-313.pyc
2025-09-07T06:18:27.3823660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/__pycache__/__main__.cpython-313.pyc
2025-09-07T06:18:27.3825720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:27.3827620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/__pycache__/version.cpython-313.pyc
2025-09-07T06:18:27.3829390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/__pycache__/unix.cpython-313.pyc
2025-09-07T06:18:27.3830900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/api.py
2025-09-07T06:18:27.3832610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/android.py
2025-09-07T06:18:27.3834180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/py.typed
2025-09-07T06:18:27.3835710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/windows.py
2025-09-07T06:18:27.3837240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/platformdirs-4.3.7-py313hca03da5_0/lib/python3.13/site-packages/platformdirs/__main__.py
2025-09-07T06:18:27.3838040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/readline-8.3-h0b18652_0.conda
2025-09-07T06:18:27.3838900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/tomli-2.2.1-py313hca03da5_0.conda
2025-09-07T06:18:27.3840010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/misc/tsget
2025-09-07T06:18:27.3841040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/misc/tsget.pl
2025-09-07T06:18:27.3842080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/misc/CA.pl
2025-09-07T06:18:27.3843130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/ct_log_list.cnf
2025-09-07T06:18:27.3844280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/openssl.cnf.dist
2025-09-07T06:18:27.3845220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/openssl.cnf
2025-09-07T06:18:27.3846410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/ssl/ct_log_list.cnf.dist
2025-09-07T06:18:27.3847520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/bin/c_rehash
2025-09-07T06:18:27.3848500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/bin/openssl
2025-09-07T06:18:27.3849840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pem2.h
2025-09-07T06:18:27.3850890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/kdf.h
2025-09-07T06:18:27.3851950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pem.h
2025-09-07T06:18:27.3853150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/asyncerr.h
2025-09-07T06:18:27.3854230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/md2.h
2025-09-07T06:18:27.3855390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ssl3.h
2025-09-07T06:18:27.3856610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ossl_typ.h
2025-09-07T06:18:27.3857770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/dtls1.h
2025-09-07T06:18:27.3858850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/err.h
2025-09-07T06:18:27.3859970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/bn.h
2025-09-07T06:18:27.3861080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/blowfish.h
2025-09-07T06:18:27.3862100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cms.h
2025-09-07T06:18:27.3863180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/engine.h
2025-09-07T06:18:27.3864390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/conf_api.h
2025-09-07T06:18:27.3865410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/esserr.h
2025-09-07T06:18:27.3866480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/core.h
2025-09-07T06:18:27.3867520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/x509.h
2025-09-07T06:18:27.3868690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/asn1_mac.h
2025-09-07T06:18:27.3869700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/objectserr.h
2025-09-07T06:18:27.3870790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/params.h
2025-09-07T06:18:27.3871870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cmserr.h
2025-09-07T06:18:27.3873030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/http.h
2025-09-07T06:18:27.3874160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ui.h
2025-09-07T06:18:27.3875260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/sha.h
2025-09-07T06:18:27.3876470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/symhacks.h
2025-09-07T06:18:27.3877410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/asn1.h
2025-09-07T06:18:27.3878530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/bioerr.h
2025-09-07T06:18:27.3879580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/opensslconf.h
2025-09-07T06:18:27.3880570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/bio.h
2025-09-07T06:18:27.3881590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/rc2.h
2025-09-07T06:18:27.3882710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/types.h
2025-09-07T06:18:27.3883860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/dh.h
2025-09-07T06:18:27.3885030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cryptoerr_legacy.h
2025-09-07T06:18:27.3886100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/proverr.h
2025-09-07T06:18:27.3887270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/x509v3.h
2025-09-07T06:18:27.3888400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/core_object.h
2025-09-07T06:18:27.3889600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/decodererr.h
2025-09-07T06:18:27.3890780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/param_build.h
2025-09-07T06:18:27.3891810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/conf.h
2025-09-07T06:18:27.3892920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/conftypes.h
2025-09-07T06:18:27.3893990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/md5.h
2025-09-07T06:18:27.3895130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/decoder.h
2025-09-07T06:18:27.3896270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pemerr.h
2025-09-07T06:18:27.3897360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/crmferr.h
2025-09-07T06:18:27.3898540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/x509_vfy.h
2025-09-07T06:18:27.3899630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/txt_db.h
2025-09-07T06:18:27.3900720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cmp.h
2025-09-07T06:18:27.3901890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/comperr.h
2025-09-07T06:18:27.3903060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cterr.h
2025-09-07T06:18:27.3904230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/self_test.h
2025-09-07T06:18:27.3905400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/safestack.h
2025-09-07T06:18:27.3906620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/configuration.h
2025-09-07T06:18:27.3907870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/fips_names.h
2025-09-07T06:18:27.3908950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ecdsa.h
2025-09-07T06:18:27.3910100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/sslerr.h
2025-09-07T06:18:27.3911340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/prov_ssl.h
2025-09-07T06:18:27.3912580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/fipskey.h
2025-09-07T06:18:27.3913790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/rc5.h
2025-09-07T06:18:27.3914950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/uierr.h
2025-09-07T06:18:27.3916170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/x509v3err.h
2025-09-07T06:18:27.3917250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/objects.h
2025-09-07T06:18:27.3918370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pkcs12.h
2025-09-07T06:18:27.3919460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/crypto.h
2025-09-07T06:18:27.3920510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/crmf.h
2025-09-07T06:18:27.3921710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cmp_util.h
2025-09-07T06:18:27.3922840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/opensslv.h
2025-09-07T06:18:27.3923920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/evperr.h
2025-09-07T06:18:27.3925130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pkcs7.h
2025-09-07T06:18:27.3926300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/obj_mac.h
2025-09-07T06:18:27.3927560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ct.h
2025-09-07T06:18:27.3928710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/async.h
2025-09-07T06:18:27.3929850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/buffer.h
2025-09-07T06:18:27.3930890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ssl.h
2025-09-07T06:18:27.3931990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/srp.h
2025-09-07T06:18:27.3933240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/camellia.h
2025-09-07T06:18:27.3934410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/httperr.h
2025-09-07T06:18:27.3935540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/dherr.h
2025-09-07T06:18:27.3936740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/evp.h
2025-09-07T06:18:27.3937980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/e_os2.h
2025-09-07T06:18:27.3939140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/trace.h
2025-09-07T06:18:27.3940250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/md4.h
2025-09-07T06:18:27.3941380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/core_names.h
2025-09-07T06:18:27.3942510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/hmac.h
2025-09-07T06:18:27.3943760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/provider.h
2025-09-07T06:18:27.3944870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/aes.h
2025-09-07T06:18:27.3946040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/engineerr.h
2025-09-07T06:18:27.3947150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/comp.h
2025-09-07T06:18:27.3948270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/macros.h
2025-09-07T06:18:27.3949520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/pkcs12err.h
2025-09-07T06:18:27.3950740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/encoder.h
2025-09-07T06:18:27.3951940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/cast.h
2025-09-07T06:18:27.3953110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/sslerr_legacy.h
2025-09-07T06:18:27.3954350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/rc4.h
2025-09-07T06:18:27.3955400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/stack.h
2025-09-07T06:18:27.3956400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/des.h
2025-09-07T06:18:27.3957560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ocsp.h
2025-09-07T06:18:27.3958710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ec.h
2025-09-07T06:18:27.3959780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ecdh.h
2025-09-07T06:18:27.3960930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/rand.h
2025-09-07T06:18:27.3962030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/openssl-3.0.17-h4ee41c1_0/include/openssl/ecerr.h
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2025-09-07T06:18:27.4535910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415+nl
2025-09-07T06:18:27.4537050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aj830
2025-09-07T06:18:27.4538140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansiw
2025-09-07T06:18:27.4539520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex232w
2025-09-07T06:18:27.4540690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aixterm-16color
2025-09-07T06:18:27.4541860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-rv-unk
2025-09-07T06:18:27.4542940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-videx2
2025-09-07T06:18:27.4544200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/abm85e
2025-09-07T06:18:27.4545330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x30
2025-09-07T06:18:27.4546460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-vm80
2025-09-07T06:18:27.4547670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-rv-nl
2025-09-07T06:18:27.4548740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa+rv
2025-09-07T06:18:27.4550040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alacritty+common
2025-09-07T06:18:27.4551240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-60-rv
2025-09-07T06:18:27.4552310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/a210
2025-09-07T06:18:27.4553450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/abm85
2025-09-07T06:18:27.4554630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610+cvis
2025-09-07T06:18:27.4555900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-videx3
2025-09-07T06:18:27.4557350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alacritty
2025-09-07T06:18:27.4558490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415
2025-09-07T06:18:27.4559630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-s
2025-09-07T06:18:27.4560760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-mono
2025-09-07T06:18:27.4561850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+pp
2025-09-07T06:18:27.4562950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-28
2025-09-07T06:18:27.4564090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+idl
2025-09-07T06:18:27.4565360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-60-s-rv
2025-09-07T06:18:27.4566470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att513
2025-09-07T06:18:27.4567420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4424
2025-09-07T06:18:27.4568640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-rv-ns
2025-09-07T06:18:27.4570010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-26
2025-09-07T06:18:27.4571050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att510d
2025-09-07T06:18:27.4572210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ap-vm80
2025-09-07T06:18:27.4573420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att620-103k-w
2025-09-07T06:18:27.4574640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo_19L
2025-09-07T06:18:27.4575760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w
2025-09-07T06:18:27.4576780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos3
2025-09-07T06:18:27.4577970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansil-mono
2025-09-07T06:18:27.4579150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos4
2025-09-07T06:18:27.4580520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x30-mono
2025-09-07T06:18:27.4581680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+cpr
2025-09-07T06:18:27.4582730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-rv
2025-09-07T06:18:27.4583980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apl
2025-09-07T06:18:27.4585260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-w-rv
2025-09-07T06:18:27.4586430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos-4
2025-09-07T06:18:27.4587790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos-3
2025-09-07T06:18:27.4589010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620
2025-09-07T06:18:27.4590340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari_st
2025-09-07T06:18:27.4591400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aa4080
2025-09-07T06:18:27.4592760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alto-heath
2025-09-07T06:18:27.4593870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt2
2025-09-07T06:18:27.4594950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aj
2025-09-07T06:18:27.4596110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt5
2025-09-07T06:18:27.4597300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x25-raw
2025-09-07T06:18:27.4598320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos5
2025-09-07T06:18:27.4599120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aas1901
2025-09-07T06:18:27.4600130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt
2025-09-07T06:18:27.4601200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/awsc
2025-09-07T06:18:27.4602330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-unk
2025-09-07T06:18:27.4603400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos2
2025-09-07T06:18:27.4604460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple2e
2025-09-07T06:18:27.4605610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4424m
2025-09-07T06:18:27.4606660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+csr
2025-09-07T06:18:27.4607860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-generic
2025-09-07T06:18:27.4609000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/addsviewpoint
2025-09-07T06:18:27.4610060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-60-s
2025-09-07T06:18:27.4611200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo+vt132
2025-09-07T06:18:27.4612320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt4
2025-09-07T06:18:27.4613470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-w
2025-09-07T06:18:27.4614620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-24-rv
2025-09-07T06:18:27.4615650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt3
2025-09-07T06:18:27.4616680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5425
2025-09-07T06:18:27.4617870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att630
2025-09-07T06:18:27.4619030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgr
2025-09-07T06:18:27.4620100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+cup
2025-09-07T06:18:27.4621250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos-2
2025-09-07T06:18:27.4622340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-w
2025-09-07T06:18:27.4623530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-rv
2025-09-07T06:18:27.4624610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-ctxt
2025-09-07T06:18:27.4625840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt+s
2025-09-07T06:18:27.4626980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex175
2025-09-07T06:18:27.4628120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos-5
2025-09-07T06:18:27.4629220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amp219
2025-09-07T06:18:27.4630330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm42
2025-09-07T06:18:27.4631490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att505-24
2025-09-07T06:18:27.4632660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-s-rv
2025-09-07T06:18:27.4633760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm1a
2025-09-07T06:18:27.4634820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att615
2025-09-07T06:18:27.4635940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-emx
2025-09-07T06:18:27.4637100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgrbold
2025-09-07T06:18:27.4638300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgrul
2025-09-07T06:18:27.4639380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm20
2025-09-07T06:18:27.4640660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x60-mono
2025-09-07T06:18:27.4641900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610-103k
2025-09-07T06:18:27.4642860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari
2025-09-07T06:18:27.4644020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari-old
2025-09-07T06:18:27.4645100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansiterm
2025-09-07T06:18:27.4646240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4410v1
2025-09-07T06:18:27.4647290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm11
2025-09-07T06:18:27.4648450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5418-w
2025-09-07T06:18:27.4649570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5430
2025-09-07T06:18:27.4650870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w-rv-ns
2025-09-07T06:18:27.4652000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgrso
2025-09-07T06:18:27.4653000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi
2025-09-07T06:18:27.4654170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att505-22
2025-09-07T06:18:27.4655250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/a80
2025-09-07T06:18:27.4656460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att605-pc
2025-09-07T06:18:27.4657480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm21
2025-09-07T06:18:27.4658680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610-w
2025-09-07T06:18:27.4659820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm42-ns
2025-09-07T06:18:27.4660910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+rca2
2025-09-07T06:18:27.4661980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att500
2025-09-07T06:18:27.4663190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/arm100
2025-09-07T06:18:27.4664340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm5
2025-09-07T06:18:27.4665430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amiga-8bit
2025-09-07T06:18:27.4666540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ambassador
2025-09-07T06:18:27.4667630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm2
2025-09-07T06:18:27.4668790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att2350
2025-09-07T06:18:27.4670010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-color-2-emx
2025-09-07T06:18:27.4671180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansis-mono
2025-09-07T06:18:27.4672460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-color-3-emx
2025-09-07T06:18:27.4673570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620-24
2025-09-07T06:18:27.4674780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altoheath
2025-09-07T06:18:27.4675970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610+cvis0
2025-09-07T06:18:27.4677150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansisysk
2025-09-07T06:18:27.4678280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi43m
2025-09-07T06:18:27.4679460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4418-w
2025-09-07T06:18:27.4680680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420+nl
2025-09-07T06:18:27.4681860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple2e-p
2025-09-07T06:18:27.4683030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo_color
2025-09-07T06:18:27.4684290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730r-41
2025-09-07T06:18:27.4685420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5410v1
2025-09-07T06:18:27.4686680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-mtabs
2025-09-07T06:18:27.4687890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-w-nl
2025-09-07T06:18:27.4688960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm3
2025-09-07T06:18:27.4690040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atarist-m
2025-09-07T06:18:27.4691360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610-103k-w
2025-09-07T06:18:27.4692540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-s-rv
2025-09-07T06:18:27.4693770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+sgrdim
2025-09-07T06:18:27.4695110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-uterm-vb
2025-09-07T06:18:27.4696420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex80
2025-09-07T06:18:27.4697630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730r-24
2025-09-07T06:18:27.4698730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/arm100-w
2025-09-07T06:18:27.4699940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex219
2025-09-07T06:18:27.4700960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/addrinfo
2025-09-07T06:18:27.4702140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-60
2025-09-07T06:18:27.4703310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x25
2025-09-07T06:18:27.4704520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa+dec
2025-09-07T06:18:27.4705710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex210
2025-09-07T06:18:27.4706990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex219w
2025-09-07T06:18:27.4708190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/arm100-am
2025-09-07T06:18:27.4709280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w-ns
2025-09-07T06:18:27.4710620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-w-rv-n
2025-09-07T06:18:27.4711740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-ae
2025-09-07T06:18:27.4712880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att615-103k-w
2025-09-07T06:18:27.4714070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+erase
2025-09-07T06:18:27.4715120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att510a
2025-09-07T06:18:27.4716270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4426
2025-09-07T06:18:27.4717310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att630-24
2025-09-07T06:18:27.4718520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altoh19
2025-09-07T06:18:27.4719530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa
2025-09-07T06:18:27.4720730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-24
2025-09-07T06:18:27.4721920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-uterm
2025-09-07T06:18:27.4722980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+rep
2025-09-07T06:18:27.4724110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-rv
2025-09-07T06:18:27.4725320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alto-h19
2025-09-07T06:18:27.4726490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-rv-ctxt
2025-09-07T06:18:27.4727660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari_st-color
2025-09-07T06:18:27.4728690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansis
2025-09-07T06:18:27.4729800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/abm80
2025-09-07T06:18:27.4730950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x50
2025-09-07T06:18:27.4732040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att615-w
2025-09-07T06:18:27.4733100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4410
2025-09-07T06:18:27.4734340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aixterm-m-old
2025-09-07T06:18:27.4735370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4425-nl
2025-09-07T06:18:27.4736540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt7pc
2025-09-07T06:18:27.4737650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-48
2025-09-07T06:18:27.4738850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+idc1
2025-09-07T06:18:27.4740000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+tabs
2025-09-07T06:18:27.4741130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/appleII
2025-09-07T06:18:27.4742390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alacritty-direct
2025-09-07T06:18:27.4743520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aj832
2025-09-07T06:18:27.4744720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+local1
2025-09-07T06:18:27.4745880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/abm85h-old
2025-09-07T06:18:27.4747010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aixterm+sl
2025-09-07T06:18:27.4748060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex-219w
2025-09-07T06:18:27.4749170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari-m
2025-09-07T06:18:27.4750280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avatar0+
2025-09-07T06:18:27.4751470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x60
2025-09-07T06:18:27.4752570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4424-1
2025-09-07T06:18:27.4753590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+rca
2025-09-07T06:18:27.4754730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4420
2025-09-07T06:18:27.4755860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4418
2025-09-07T06:18:27.4756910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-22
2025-09-07T06:18:27.4758060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aepro
2025-09-07T06:18:27.4759260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-nl
2025-09-07T06:18:27.4760340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5410v1-w
2025-09-07T06:18:27.4761460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620-34
2025-09-07T06:18:27.4762620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-w-rv-n
2025-09-07T06:18:27.4763760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-48-rv
2025-09-07T06:18:27.4764870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo
2025-09-07T06:18:27.4766000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-mini
2025-09-07T06:18:27.4767240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-40
2025-09-07T06:18:27.4768440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+enq
2025-09-07T06:18:27.4769510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/abm85h
2025-09-07T06:18:27.4770650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/annarbor4080
2025-09-07T06:18:27.4771750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-nt
2025-09-07T06:18:27.4773000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-rv
2025-09-07T06:18:27.4774000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w-rv
2025-09-07T06:18:27.4775100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420
2025-09-07T06:18:27.4776280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi77
2025-09-07T06:18:27.4777360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-mr
2025-09-07T06:18:27.4778400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5418
2025-09-07T06:18:27.4779550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm3a
2025-09-07T06:18:27.4780750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x43-mono
2025-09-07T06:18:27.4781910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620-1
2025-09-07T06:18:27.4783040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/atari-color
2025-09-07T06:18:27.4784260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-s-ctxt
2025-09-07T06:18:27.4785360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi.sys
2025-09-07T06:18:27.4786450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-s
2025-09-07T06:18:27.4787640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos7
2025-09-07T06:18:27.4788710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-18-rv
2025-09-07T06:18:27.4789780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm31
2025-09-07T06:18:27.4791020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-w-nl
2025-09-07T06:18:27.4792080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5620-s
2025-09-07T06:18:27.4793130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm36
2025-09-07T06:18:27.4794290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avatar
2025-09-07T06:18:27.4795260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amiga
2025-09-07T06:18:27.4796570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apollo_15P
2025-09-07T06:18:27.4797470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/alt7
2025-09-07T06:18:27.4798650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-rv-s
2025-09-07T06:18:27.4799810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730-41
2025-09-07T06:18:27.4801070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420_2-w
2025-09-07T06:18:27.4802040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att605-w
2025-09-07T06:18:27.4803170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att605
2025-09-07T06:18:27.4804350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-60-dec-rv
2025-09-07T06:18:27.4805400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5410
2025-09-07T06:18:27.4806480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/altos7pc
2025-09-07T06:18:27.4807520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm1178
2025-09-07T06:18:27.4808730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/absolute
2025-09-07T06:18:27.4809900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex-219
2025-09-07T06:18:27.4810850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/at
2025-09-07T06:18:27.4812040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm+sgr
2025-09-07T06:18:27.4813260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att620-w
2025-09-07T06:18:27.4814330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-s
2025-09-07T06:18:27.4815430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aj510
2025-09-07T06:18:27.4816530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730-24
2025-09-07T06:18:27.4817630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex-232
2025-09-07T06:18:27.4818660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aws
2025-09-07T06:18:27.4819840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att7300
2025-09-07T06:18:27.4821220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm3a+
2025-09-07T06:18:27.4822330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avatar0
2025-09-07T06:18:27.4823510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm12
2025-09-07T06:18:27.4824660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-rv
2025-09-07T06:18:27.4825800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730r
2025-09-07T06:18:27.4827030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi.sys-old
2025-09-07T06:18:27.4828080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/a980
2025-09-07T06:18:27.4829290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att620
2025-09-07T06:18:27.4830470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-videx
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2025-09-07T06:18:27.4832690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amp219w
2025-09-07T06:18:27.4833750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ampex175-b
2025-09-07T06:18:27.4834980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x25-mono
2025-09-07T06:18:27.4836150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm31-old
2025-09-07T06:18:27.4837220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avatar1
2025-09-07T06:18:27.4838420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple-80
2025-09-07T06:18:27.4839540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-db
2025-09-07T06:18:27.4840820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amiga-vnc
2025-09-07T06:18:27.4841990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-rv-nl
2025-09-07T06:18:27.4843140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm22
2025-09-07T06:18:27.4844300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att610
2025-09-07T06:18:27.4845310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adds980
2025-09-07T06:18:27.4846570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/apple80p
2025-09-07T06:18:27.4847990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5410-w
2025-09-07T06:18:27.4849290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+inittabs
2025-09-07T06:18:27.4850440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+local
2025-09-07T06:18:27.4851660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5425-nl
2025-09-07T06:18:27.4852800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aterm
2025-09-07T06:18:27.4853950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/at-m
2025-09-07T06:18:27.4855120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4425-w
2025-09-07T06:18:27.4856370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5425-w
2025-09-07T06:18:27.4857420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-rv-ctxt
2025-09-07T06:18:27.4858460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att2300
2025-09-07T06:18:27.4859630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-ns
2025-09-07T06:18:27.4860770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5310
2025-09-07T06:18:27.4861950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4410-w
2025-09-07T06:18:27.4863190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-36-rv
2025-09-07T06:18:27.4864230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/act4
2025-09-07T06:18:27.4865320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w-rv-s
2025-09-07T06:18:27.4866420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aixterm-m
2025-09-07T06:18:27.4867460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adm1
2025-09-07T06:18:27.4868820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/amiga-h
2025-09-07T06:18:27.4870060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att615-103k
2025-09-07T06:18:27.4871150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ambas
2025-09-07T06:18:27.4872160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/at386
2025-09-07T06:18:27.4873370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/appleIIe
2025-09-07T06:18:27.4874540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att700
2025-09-07T06:18:27.4875600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-36
2025-09-07T06:18:27.4876820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att4415-w-rv
2025-09-07T06:18:27.4877910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/arm100-wam
2025-09-07T06:18:27.4879050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/act5
2025-09-07T06:18:27.4880130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/appleIIgs
2025-09-07T06:18:27.4881250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/addsvp60
2025-09-07T06:18:27.4882250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/avt-w-s
2025-09-07T06:18:27.4883440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5320
2025-09-07T06:18:27.4884600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-s-ctxt
2025-09-07T06:18:27.4885840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa+unk
2025-09-07T06:18:27.4886770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi-m
2025-09-07T06:18:27.4888000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/adds200
2025-09-07T06:18:27.4889190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+apparrows
2025-09-07T06:18:27.4890380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30-s-rv-ct
2025-09-07T06:18:27.4891470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/appleIIc
2025-09-07T06:18:27.4892690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aaa-30
2025-09-07T06:18:27.4893600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/at-color
2025-09-07T06:18:27.4894600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att730
2025-09-07T06:18:27.4895750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi80x43
2025-09-07T06:18:27.4896850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att5420-nl
2025-09-07T06:18:27.4898060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/att505
2025-09-07T06:18:27.4899320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/ansi+arrows
2025-09-07T06:18:27.4900340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/61/aixterm
2025-09-07T06:18:27.4901380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f200vi-w
2025-09-07T06:18:27.4902450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f200vi
2025-09-07T06:18:27.4903520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f200
2025-09-07T06:18:27.4904630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fenixw
2025-09-07T06:18:27.4905680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/falco-p
2025-09-07T06:18:27.4906870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fox
2025-09-07T06:18:27.4907880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/foot
2025-09-07T06:18:27.4909020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/freedom
2025-09-07T06:18:27.4910060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f100
2025-09-07T06:18:27.4911320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fbterm
2025-09-07T06:18:27.4912450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/freedom110
2025-09-07T06:18:27.4913580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f110-14w
2025-09-07T06:18:27.4914610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f110-w
2025-09-07T06:18:27.4915950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f1720
2025-09-07T06:18:27.4916890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/foot+base
2025-09-07T06:18:27.4917960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fixterm
2025-09-07T06:18:27.4919120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/freedom100
2025-09-07T06:18:27.4920230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f200-w
2025-09-07T06:18:27.4921300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fos
2025-09-07T06:18:27.4922400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/foot-direct
2025-09-07T06:18:27.4923390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f110
2025-09-07T06:18:27.4924490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fenix
2025-09-07T06:18:27.4925620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/falco
2025-09-07T06:18:27.4926810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f110-14
2025-09-07T06:18:27.4927860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/freedom-rv
2025-09-07T06:18:27.4928970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f100-rv
2025-09-07T06:18:27.4930080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/freedom200
2025-09-07T06:18:27.4931210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/f1720a
2025-09-07T06:18:27.4932390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/66/fortune
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2025-09-07T06:18:27.4934510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P14-W
2025-09-07T06:18:27.4935740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P14-M
2025-09-07T06:18:27.4936820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P5
2025-09-07T06:18:27.4937900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P9-8-W
2025-09-07T06:18:27.4939150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P9-8
2025-09-07T06:18:27.4940090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P8-W
2025-09-07T06:18:27.4941140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P12-M
2025-09-07T06:18:27.4942290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P7
2025-09-07T06:18:27.4943340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P9
2025-09-07T06:18:27.4944510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P8
2025-09-07T06:18:27.4945600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P12-M-W
2025-09-07T06:18:27.4946710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P12-W
2025-09-07T06:18:27.4947820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P9-W
2025-09-07T06:18:27.4949040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P14
2025-09-07T06:18:27.4950120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P14-M-W
2025-09-07T06:18:27.4951330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/50/P12
2025-09-07T06:18:27.4952470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp236
2025-09-07T06:18:27.4953490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19us
2025-09-07T06:18:27.4954610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h-100
2025-09-07T06:18:27.4955830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-nt
2025-09-07T06:18:27.4957340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621b-kx-p
2025-09-07T06:18:27.4957960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h100
2025-09-07T06:18:27.4958950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19a
2025-09-07T06:18:27.4960180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624-10p
2025-09-07T06:18:27.4961280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19
2025-09-07T06:18:27.4962370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hirez100
2025-09-07T06:18:27.4963570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621a-a
2025-09-07T06:18:27.4964620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2640b
2025-09-07T06:18:27.4965740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-smul
2025-09-07T06:18:27.4966750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h80
2025-09-07T06:18:27.4967920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626p
2025-09-07T06:18:27.4969060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2623a
2025-09-07T06:18:27.4970340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpterm-color
2025-09-07T06:18:27.4971280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpex2
2025-09-07T06:18:27.4972420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2645a
2025-09-07T06:18:27.4973530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/heath-19
2025-09-07T06:18:27.4974610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hterm
2025-09-07T06:18:27.4975620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19g
2025-09-07T06:18:27.4976760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-u
2025-09-07T06:18:27.4977900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-12
2025-09-07T06:18:27.4979030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp
2025-09-07T06:18:27.4980250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-g
2025-09-07T06:18:27.4981400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-x40
2025-09-07T06:18:27.4982580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpterm-color2
2025-09-07T06:18:27.4983680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/heathkit
2025-09-07T06:18:27.4984870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h29a-kc-bc
2025-09-07T06:18:27.4986000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-a
2025-09-07T06:18:27.4987270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621b-kx
2025-09-07T06:18:27.4988200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-bs
2025-09-07T06:18:27.4989300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp70092A
2025-09-07T06:18:27.4990430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-wl
2025-09-07T06:18:27.4991520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+pfk-cr
2025-09-07T06:18:27.4992760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz2000
2025-09-07T06:18:27.4994080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98550a-color
2025-09-07T06:18:27.4995120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-4p
2025-09-07T06:18:27.4996280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98550
2025-09-07T06:18:27.4997420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpsub
2025-09-07T06:18:27.4998740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+arrows
2025-09-07T06:18:27.4999440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+pfk+arrows
2025-09-07T06:18:27.5000220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621k45
2025-09-07T06:18:27.5001250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/heathkit-a
2025-09-07T06:18:27.5002130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98550-color
2025-09-07T06:18:27.5002960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hds200
2025-09-07T06:18:27.5003820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1420
2025-09-07T06:18:27.5004710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2392
2025-09-07T06:18:27.5005580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hirez100-w
2025-09-07T06:18:27.5006590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2648
2025-09-07T06:18:27.5007630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hft-c
2025-09-07T06:18:27.5012560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1552
2025-09-07T06:18:27.5012850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2
2025-09-07T06:18:27.5013080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h29a-nkc-bc
2025-09-07T06:18:27.5013330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+color
2025-09-07T06:18:27.5013540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-fl
2025-09-07T06:18:27.5014310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2641a
2025-09-07T06:18:27.5015370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/htx11
2025-09-07T06:18:27.5016530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2627a
2025-09-07T06:18:27.5017660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp262x
2025-09-07T06:18:27.5018810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624
2025-09-07T06:18:27.5019990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2623
2025-09-07T06:18:27.5021150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621p-a
2025-09-07T06:18:27.5022430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-k45
2025-09-07T06:18:27.5023490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621b
2025-09-07T06:18:27.5024960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hazel
2025-09-07T06:18:27.5026090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2648a
2025-09-07T06:18:27.5027190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98550a
2025-09-07T06:18:27.5028320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2622
2025-09-07T06:18:27.5029640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp9837
2025-09-07T06:18:27.5030660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-4p-p
2025-09-07T06:18:27.5031720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621p
2025-09-07T06:18:27.5032970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpgeneric
2025-09-07T06:18:27.5034150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624a
2025-09-07T06:18:27.5035170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1500
2025-09-07T06:18:27.5036480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19kermit
2025-09-07T06:18:27.5037730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-us
2025-09-07T06:18:27.5038870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hft-old
2025-09-07T06:18:27.5040030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp700-wy
2025-09-07T06:18:27.5041190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp9845
2025-09-07T06:18:27.5042360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-nl
2025-09-07T06:18:27.5043490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpex
2025-09-07T06:18:27.5044670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19k
2025-09-07T06:18:27.5045960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hterm-256color
2025-09-07T06:18:27.5047140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h29a-kc-uc
2025-09-07T06:18:27.5048450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+printer
2025-09-07T06:18:27.5049590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2397a
2025-09-07T06:18:27.5050810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-10p
2025-09-07T06:18:27.5052260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1510
2025-09-07T06:18:27.5053390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-ba
2025-09-07T06:18:27.5054700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-12x40
2025-09-07T06:18:27.5055960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/ha8675
2025-09-07T06:18:27.5056960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/ha8686
2025-09-07T06:18:27.5058310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2640a
2025-09-07T06:18:27.5059470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1520
2025-09-07T06:18:27.5060610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626a
2025-09-07T06:18:27.5061850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624a-10p
2025-09-07T06:18:27.5062900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/heath
2025-09-07T06:18:27.5064100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hft-c-old
2025-09-07T06:18:27.5065320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98720
2025-09-07T06:18:27.5066550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1000
2025-09-07T06:18:27.5067770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hft
2025-09-07T06:18:27.5068970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2382
2025-09-07T06:18:27.5070150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpterm
2025-09-07T06:18:27.5071280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hpansi
2025-09-07T06:18:27.5072310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp98721
2025-09-07T06:18:27.5073410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h19-b
2025-09-07T06:18:27.5074650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-a
2025-09-07T06:18:27.5075780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp45
2025-09-07T06:18:27.5076980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h-100bw
2025-09-07T06:18:27.5078020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1520-noesc
2025-09-07T06:18:27.5079000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp110
2025-09-07T06:18:27.5080180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp300h
2025-09-07T06:18:27.5081300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/he80
2025-09-07T06:18:27.5082480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-12-s
2025-09-07T06:18:27.5083600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2397
2025-09-07T06:18:27.5084600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp150
2025-09-07T06:18:27.5085720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2382a
2025-09-07T06:18:27.5086890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621-48
2025-09-07T06:18:27.5088040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+pfk+cr
2025-09-07T06:18:27.5089260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h29a-nkc-uc
2025-09-07T06:18:27.5090640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp700
2025-09-07T06:18:27.5091530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621b-p
2025-09-07T06:18:27.5092840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/h100bw
2025-09-07T06:18:27.5093910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hurd
2025-09-07T06:18:27.5095130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp70092
2025-09-07T06:18:27.5096240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2622a
2025-09-07T06:18:27.5097380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2644a
2025-09-07T06:18:27.5098400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2645
2025-09-07T06:18:27.5099500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-10p-p
2025-09-07T06:18:27.5100520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-s
2025-09-07T06:18:27.5101700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2627c
2025-09-07T06:18:27.5102690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hz1552-rv
2025-09-07T06:18:27.5103820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626
2025-09-07T06:18:27.5105210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2627a-rev
2025-09-07T06:18:27.5106210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621
2025-09-07T06:18:27.5107330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b
2025-09-07T06:18:27.5108450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2626-ns
2025-09-07T06:18:27.5109570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hmod1
2025-09-07T06:18:27.5120780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2621A
2025-09-07T06:18:27.5121330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp+labels
2025-09-07T06:18:27.5121760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2624b-p
2025-09-07T06:18:27.5121980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/heath-ansi
2025-09-07T06:18:27.5122180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/68/hp2647a
2025-09-07T06:18:27.5122390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-35
2025-09-07T06:18:27.5122610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-100
2025-09-07T06:18:27.5122950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-50
2025-09-07T06:18:27.5123350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/o4112-nd
2025-09-07T06:18:27.5123580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-25-w
2025-09-07T06:18:27.5123780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oc100
2025-09-07T06:18:27.5123980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-60
2025-09-07T06:18:27.5124300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-35-w
2025-09-07T06:18:27.5125550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osexec
2025-09-07T06:18:27.5126720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/o85h
2025-09-07T06:18:27.5127970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oldibmpc3
2025-09-07T06:18:27.5129040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-w
2025-09-07T06:18:27.5130150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-50-w
2025-09-07T06:18:27.5131460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-25-w-vt
2025-09-07T06:18:27.5132630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osborne
2025-09-07T06:18:27.5133830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oldsun
2025-09-07T06:18:27.5134990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osborne1-w
2025-09-07T06:18:27.5136160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osborne-w
2025-09-07T06:18:27.5137220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/owl
2025-09-07T06:18:27.5138360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oconcept
2025-09-07T06:18:27.5139530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt
2025-09-07T06:18:27.5140860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-60-nti
2025-09-07T06:18:27.5141970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/ofcons
2025-09-07T06:18:27.5143020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opus3n1+
2025-09-07T06:18:27.5144100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/otek4112
2025-09-07T06:18:27.5145210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/otek4115
2025-09-07T06:18:27.5146570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oldxterm+sm+1006
2025-09-07T06:18:27.5147950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-100-nti
2025-09-07T06:18:27.5149060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-nti
2025-09-07T06:18:27.5150060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oblit
2025-09-07T06:18:27.5151230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/otek4114
2025-09-07T06:18:27.5152350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/otek4113
2025-09-07T06:18:27.5153530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-50-nti
2025-09-07T06:18:27.5154540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/o31
2025-09-07T06:18:27.5155870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oabm85h
2025-09-07T06:18:27.5156870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/oldpc3
2025-09-07T06:18:27.5158210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/osborne1
2025-09-07T06:18:27.5159370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/omron
2025-09-07T06:18:27.5160550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-25-nti
2025-09-07T06:18:27.5161690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/origpc3
2025-09-07T06:18:27.5162870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-w-vt
2025-09-07T06:18:27.5164080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-60-w
2025-09-07T06:18:27.5165290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/origibmpc3
2025-09-07T06:18:27.5166460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/old-st
2025-09-07T06:18:27.5167400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/ojerq
2025-09-07T06:18:27.5168590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-25
2025-09-07T06:18:27.5169790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/opennt-35-nti
2025-09-07T06:18:27.5170830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6f/os9LII
2025-09-07T06:18:27.5172000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6a/jfbterm
2025-09-07T06:18:27.5173160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6a/jaixterm-m
2025-09-07T06:18:27.5174340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6a/jerq
2025-09-07T06:18:27.5175420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6a/jaixterm
2025-09-07T06:18:27.5176500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/32/2621
2025-09-07T06:18:27.5177700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/32/2621-wl
2025-09-07T06:18:27.5179020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/32/2621A
2025-09-07T06:18:27.5180000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5051
2025-09-07T06:18:27.5181170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5410-w
2025-09-07T06:18:27.5182230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5630-24
2025-09-07T06:18:27.5183460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5630DMD-24
2025-09-07T06:18:27.5184480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/35/5620
2025-09-07T06:18:27.5185660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris-ansi
2025-09-07T06:18:27.5186780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iq140
2025-09-07T06:18:27.5187830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3161
2025-09-07T06:18:27.5188920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intertube2
2025-09-07T06:18:27.5190150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6154-c
2025-09-07T06:18:27.5191310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iterm
2025-09-07T06:18:27.5192380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intertube
2025-09-07T06:18:27.5193600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3151
2025-09-07T06:18:27.5194610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5051
2025-09-07T06:18:27.5195800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8604
2025-09-07T06:18:27.5197110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/infoton
2025-09-07T06:18:27.5198310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpc3r-mono
2025-09-07T06:18:27.5199450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmaed
2025-09-07T06:18:27.5200500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpc
2025-09-07T06:18:27.5201220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ips
2025-09-07T06:18:27.5202270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm327x
2025-09-07T06:18:27.5203190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibcs2
2025-09-07T06:18:27.5204240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/i100
2025-09-07T06:18:27.5205380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmmpel-c
2025-09-07T06:18:27.5206470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmega
2025-09-07T06:18:27.5207690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5154
2025-09-07T06:18:27.5208610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iTerm2.app
2025-09-07T06:18:27.5210120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris-ansi-net
2025-09-07T06:18:27.5211000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/infoton2
2025-09-07T06:18:27.5212120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmvga-c
2025-09-07T06:18:27.5213190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm+16color
2025-09-07T06:18:27.5214380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ims-ansi
2025-09-07T06:18:27.5215630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm-system1
2025-09-07T06:18:27.5216670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmapa8c
2025-09-07T06:18:27.5217820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8503
2025-09-07T06:18:27.5218890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmega-c
2025-09-07T06:18:27.5220030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmx
2025-09-07T06:18:27.5221080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm-pc
2025-09-07T06:18:27.5222220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intext2
2025-09-07T06:18:27.5223430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5081
2025-09-07T06:18:27.5224680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmapa8c-c
2025-09-07T06:18:27.5225750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ipsi
2025-09-07T06:18:27.5226760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3162
2025-09-07T06:18:27.5228030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris-color
2025-09-07T06:18:27.5229200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ims950-rv
2025-09-07T06:18:27.5230400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8512
2025-09-07T06:18:27.5231560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3161-C
2025-09-07T06:18:27.5232530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iq120
2025-09-07T06:18:27.5233720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3163
2025-09-07T06:18:27.5234930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3164
2025-09-07T06:18:27.5236010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6153-90
2025-09-07T06:18:27.5237250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8513
2025-09-07T06:18:27.5238360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5081-c
2025-09-07T06:18:27.5239530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris40
2025-09-07T06:18:27.5240730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8514
2025-09-07T06:18:27.5241700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm3101
2025-09-07T06:18:27.5242840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iterm2
2025-09-07T06:18:27.5243860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6153
2025-09-07T06:18:27.5244990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intertec
2025-09-07T06:18:27.5246130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6154
2025-09-07T06:18:27.5247280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpc3r
2025-09-07T06:18:27.5248310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmvga
2025-09-07T06:18:27.5249340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6155
2025-09-07T06:18:27.5250510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ims950-b
2025-09-07T06:18:27.5251770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/interix-nti
2025-09-07T06:18:27.5252810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmmono
2025-09-07T06:18:27.5253970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmapa8
2025-09-07T06:18:27.5255220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iTerm.app
2025-09-07T06:18:27.5256180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/icl6404
2025-09-07T06:18:27.5257300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/icl6404-w
2025-09-07T06:18:27.5258540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iterm2-direct
2025-09-07T06:18:27.5259610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/i3101
2025-09-07T06:18:27.5260620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intext
2025-09-07T06:18:27.5261860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/interix
2025-09-07T06:18:27.5262890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpc3
2025-09-07T06:18:27.5264030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5151
2025-09-07T06:18:27.5265240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmpcx
2025-09-07T06:18:27.5266330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm+color
2025-09-07T06:18:27.5267430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/i3164
2025-09-07T06:18:27.5268660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/icl6402
2025-09-07T06:18:27.5269730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ifmr
2025-09-07T06:18:27.5270910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/i400
2025-09-07T06:18:27.5272030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8507
2025-09-07T06:18:27.5273090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ims950
2025-09-07T06:18:27.5274290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/iris-ansi-ap
2025-09-07T06:18:27.5275240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibmapa16
2025-09-07T06:18:27.5276430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm-apl
2025-09-07T06:18:27.5277540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/intextii
2025-09-07T06:18:27.5278840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm8514-c
2025-09-07T06:18:27.5279980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm5154-c
2025-09-07T06:18:27.5281040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/69/ibm6153-40
2025-09-07T06:18:27.5282130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-H
2025-09-07T06:18:27.5283320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q306-8-pc
2025-09-07T06:18:27.5284750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-H-am
2025-09-07T06:18:27.5285830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-w-am
2025-09-07T06:18:27.5287040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-w
2025-09-07T06:18:27.5288190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/51/Q310-vip-Hw
2025-09-07T06:18:27.5289330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/58/X-hpterm
2025-09-07T06:18:27.5290540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/58/X-hpterm-color2
2025-09-07T06:18:27.5292010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-2012
2025-09-07T06:18:27.5292900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-44
2025-09-07T06:18:27.5293910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru+rv
2025-09-07T06:18:27.5295050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru
2025-09-07T06:18:27.5296210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gator
2025-09-07T06:18:27.5297480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome+pcfkeys
2025-09-07T06:18:27.5298560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/go140
2025-09-07T06:18:27.5299610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-s
2025-09-07T06:18:27.5300660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-lp
2025-09-07T06:18:27.5301770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-w-s
2025-09-07T06:18:27.5302790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gsi
2025-09-07T06:18:27.5303840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gs6300
2025-09-07T06:18:27.5304980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gator-52
2025-09-07T06:18:27.5306240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-44-s
2025-09-07T06:18:27.5307580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-rh72
2025-09-07T06:18:27.5308550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gs5430-24
2025-09-07T06:18:27.5309690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-rh80
2025-09-07T06:18:27.5310790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru+s
2025-09-07T06:18:27.5311960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-fc5
2025-09-07T06:18:27.5313160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gs5430-22
2025-09-07T06:18:27.5314170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gt40
2025-09-07T06:18:27.5315320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/go225
2025-09-07T06:18:27.5316500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-33-rv
2025-09-07T06:18:27.5317690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome
2025-09-07T06:18:27.5318740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-2007
2025-09-07T06:18:27.5319840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gigi
2025-09-07T06:18:27.5321030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-33
2025-09-07T06:18:27.5322190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-2008
2025-09-07T06:18:27.5323300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gator-t
2025-09-07T06:18:27.5324500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/graphos
2025-09-07T06:18:27.5325500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76
2025-09-07T06:18:27.5326600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/glasstty
2025-09-07T06:18:27.5327740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-256color
2025-09-07T06:18:27.5328970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gs5430
2025-09-07T06:18:27.5330110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-rv
2025-09-07T06:18:27.5331190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-24
2025-09-07T06:18:27.5332300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru+unk
2025-09-07T06:18:27.5333520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-rh90
2025-09-07T06:18:27.5334640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-w
2025-09-07T06:18:27.5335710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-nctxt
2025-09-07T06:18:27.5336910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gnome-rh62
2025-09-07T06:18:27.5337980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/go-225
2025-09-07T06:18:27.5339100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gt100a
2025-09-07T06:18:27.5340150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gt100
2025-09-07T06:18:27.5341340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gt42
2025-09-07T06:18:27.5342570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-s
2025-09-07T06:18:27.5343660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-lp
2025-09-07T06:18:27.5344840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/go140w
2025-09-07T06:18:27.5345910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/graphos-30
2025-09-07T06:18:27.5347240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-33-s
2025-09-07T06:18:27.5348410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/gator-52t
2025-09-07T06:18:27.5349550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/67/guru-76-wm
2025-09-07T06:18:27.5350760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/34/4410-w
2025-09-07T06:18:27.5351850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/34/4027ex
2025-09-07T06:18:27.5353000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/34/4025ex
2025-09-07T06:18:27.5354120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/33/386at
2025-09-07T06:18:27.5355210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/33/3b1
2025-09-07T06:18:27.5356530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4e/NCR260VT300WPP
2025-09-07T06:18:27.5357680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4e/NCRVT100WPP
2025-09-07T06:18:27.5358850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/45/Eterm-88color
2025-09-07T06:18:27.5359880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/45/Eterm
2025-09-07T06:18:27.5361150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/45/Eterm-256color
2025-09-07T06:18:27.5362200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/45/Eterm-color
2025-09-07T06:18:27.5363430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1b-nb
2025-09-07T06:18:27.5364570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scanset
2025-09-07T06:18:27.5365650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/swtp
2025-09-07T06:18:27.5367030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/superbee-xsb
2025-09-07T06:18:27.5368290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/synertek380
2025-09-07T06:18:27.5369630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-256color
2025-09-07T06:18:27.5370790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen5
2025-09-07T06:18:27.5371910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/soroc140
2025-09-07T06:18:27.5373130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-16color
2025-09-07T06:18:27.5374130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen2
2025-09-07T06:18:27.5375280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-17
2025-09-07T06:18:27.5376510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty
2025-09-07T06:18:27.5377560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun
2025-09-07T06:18:27.5378800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-16color
2025-09-07T06:18:27.5379960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stterm-256color
2025-09-07T06:18:27.5380990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen3
2025-09-07T06:18:27.5382130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen4
2025-09-07T06:18:27.5383440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.konsole-256color
2025-09-07T06:18:27.5384450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/s4
2025-09-07T06:18:27.5385730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty-m1
2025-09-07T06:18:27.5387140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-16color-bce-s
2025-09-07T06:18:27.5388350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-256color-bce
2025-09-07T06:18:27.5389600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel12-80
2025-09-07T06:18:27.5390690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/superbee
2025-09-07T06:18:27.5391760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-0.7
2025-09-07T06:18:27.5393070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty-m1b
2025-09-07T06:18:27.5394230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-cgsix
2025-09-07T06:18:27.5395160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sb3
2025-09-07T06:18:27.5396210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scoansi
2025-09-07T06:18:27.5397440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.konsole
2025-09-07T06:18:27.5398490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st52-m
2025-09-07T06:18:27.5399560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-0.6
2025-09-07T06:18:27.5400580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.rxvt
2025-09-07T06:18:27.5401380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-type4
2025-09-07T06:18:27.5402420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-0.8
2025-09-07T06:18:27.5403520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sb2
2025-09-07T06:18:27.5404730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux-m1b
2025-09-07T06:18:27.5405900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/superbeeic
2025-09-07T06:18:27.5406980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-e-s
2025-09-07T06:18:27.5408320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-cmd
2025-09-07T06:18:27.5409310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/soroc
2025-09-07T06:18:27.5410510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.gnome
2025-09-07T06:18:27.5411900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.xterm-r6
2025-09-07T06:18:27.5413000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux-s
2025-09-07T06:18:27.5414100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-c
2025-09-07T06:18:27.5415360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.vte
2025-09-07T06:18:27.5416230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sune
2025-09-07T06:18:27.5417640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1-nb
2025-09-07T06:18:27.5418730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-base
2025-09-07T06:18:27.5419950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.gnome
2025-09-07T06:18:27.5421190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux-m2
2025-09-07T06:18:27.5422250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun2
2025-09-07T06:18:27.5423510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-w
2025-09-07T06:18:27.5424820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.xterm-xfree86
2025-09-07T06:18:27.5425920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stterm
2025-09-07T06:18:27.5427080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-ss5
2025-09-07T06:18:27.5428230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-e
2025-09-07T06:18:27.5429350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-nic
2025-09-07T06:18:27.5430730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.mlterm-256color
2025-09-07T06:18:27.5431940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.rxvt
2025-09-07T06:18:27.5433050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-34
2025-09-07T06:18:27.5434290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel2-80
2025-09-07T06:18:27.5435450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st-direct
2025-09-07T06:18:27.5436650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/simterm
2025-09-07T06:18:27.5438030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1b
2025-09-07T06:18:27.5439000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sc415
2025-09-07T06:18:27.5440580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sibo
2025-09-07T06:18:27.5441270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scoansi-old
2025-09-07T06:18:27.5442660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stv52
2025-09-07T06:18:27.5443600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-16color-s
2025-09-07T06:18:27.5444790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.xterm-new
2025-09-07T06:18:27.5445970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st
2025-09-07T06:18:27.5447060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st52-color
2025-09-07T06:18:27.5448220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sbobcat
2025-09-07T06:18:27.5449620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux
2025-09-07T06:18:27.5450770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-12
2025-09-07T06:18:27.5452120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-256color-bce-s
2025-09-07T06:18:27.5453400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen+italics
2025-09-07T06:18:27.5454550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-24
2025-09-07T06:18:27.5455730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty-m2
2025-09-07T06:18:27.5457200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.linux
2025-09-07T06:18:27.5458360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screwpoint
2025-09-07T06:18:27.5459520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/soroc120
2025-09-07T06:18:27.5460710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-48
2025-09-07T06:18:27.5461880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/simpleterm
2025-09-07T06:18:27.5463160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/synertek
2025-09-07T06:18:27.5464300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scrt
2025-09-07T06:18:27.5465510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen
2025-09-07T06:18:27.5466570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-il
2025-09-07T06:18:27.5467670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce
2025-09-07T06:18:27.5468900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sbi
2025-09-07T06:18:27.5469880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sb1
2025-09-07T06:18:27.5471180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.xterm-256color
2025-09-07T06:18:27.5472290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st52
2025-09-07T06:18:27.5473520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scrhp
2025-09-07T06:18:27.5474890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stterm-16color
2025-09-07T06:18:27.5475970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/scoansi-new
2025-09-07T06:18:27.5477270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/superbrain
2025-09-07T06:18:27.5478670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-256color-s
2025-09-07T06:18:27.5479760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sv80
2025-09-07T06:18:27.5481170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.mlterm
2025-09-07T06:18:27.5482530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.vte-256color
2025-09-07T06:18:27.5484020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.putty-256color
2025-09-07T06:18:27.5485180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.mrxvt
2025-09-07T06:18:27.5486340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/st52-old
2025-09-07T06:18:27.5487460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.Eterm
2025-09-07T06:18:27.5488710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/spinwriter
2025-09-07T06:18:27.5489950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-s
2025-09-07T06:18:27.5491020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun1
2025-09-07T06:18:27.5492290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.teraterm
2025-09-07T06:18:27.5493700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.Eterm
2025-09-07T06:18:27.5494820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.mrxvt
2025-09-07T06:18:27.5496290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-16color-bce
2025-09-07T06:18:27.5497130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-s
2025-09-07T06:18:27.5498300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/stv52pc
2025-09-07T06:18:27.5499670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1b-80
2025-09-07T06:18:27.5500670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/system1
2025-09-07T06:18:27.5501900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.linux-m1
2025-09-07T06:18:27.5503050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-1
2025-09-07T06:18:27.5504170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-color
2025-09-07T06:18:27.5505520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.xterm-new
2025-09-07T06:18:27.5506620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-256color
2025-09-07T06:18:27.5507790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen+fkeys
2025-09-07T06:18:27.5509040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen-bce.konsole
2025-09-07T06:18:27.5510280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun+sl
2025-09-07T06:18:27.5511300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sc410
2025-09-07T06:18:27.5512540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/sun-s-e
2025-09-07T06:18:27.5513930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/screen.minitel1
2025-09-07T06:18:27.5515110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/73/securecrt
2025-09-07T06:18:27.5520210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4424
2025-09-07T06:18:27.5520690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tw52
2025-09-07T06:18:27.5521190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-mc-vb
2025-09-07T06:18:27.5521690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620-s
2025-09-07T06:18:27.5522180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-unk-2p
2025-09-07T06:18:27.5522670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132-rv
2025-09-07T06:18:27.5523530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132-15
2025-09-07T06:18:27.5524910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620-1
2025-09-07T06:18:27.5526100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek
2025-09-07T06:18:27.5527320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti926-8
2025-09-07T06:18:27.5528560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-mc
2025-09-07T06:18:27.5529740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-vb
2025-09-07T06:18:27.5530890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi925-hi
2025-09-07T06:18:27.5532090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty33
2025-09-07T06:18:27.5533200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4027-ex
2025-09-07T06:18:27.5534560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4107
2025-09-07T06:18:27.5535780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti928-8
2025-09-07T06:18:27.5536940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-rv
2025-09-07T06:18:27.5538030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-2p-p
2025-09-07T06:18:27.5539300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-vb-unk
2025-09-07T06:18:27.5540390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ttydmd
2025-09-07T06:18:27.5541480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-p-2p
2025-09-07T06:18:27.5542600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4109
2025-09-07T06:18:27.5543750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty35
2025-09-07T06:18:27.5544970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-mc-2p
2025-09-07T06:18:27.5546170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-8-132
2025-09-07T06:18:27.5547660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-2p-unk
2025-09-07T06:18:27.5549330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti931
2025-09-07T06:18:27.5550690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi970-vb
2025-09-07T06:18:27.5551760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5425
2025-09-07T06:18:27.5552750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts-1p
2025-09-07T06:18:27.5554090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920
2025-09-07T06:18:27.5555300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620-34
2025-09-07T06:18:27.5556570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi9065
2025-09-07T06:18:27.5557870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-p-2p
2025-09-07T06:18:27.5559110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-2p-p
2025-09-07T06:18:27.5560360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+printer
2025-09-07T06:18:27.5561450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-mc-2p
2025-09-07T06:18:27.5562580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t16
2025-09-07T06:18:27.5563770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c
2025-09-07T06:18:27.5565250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-unk-vb
2025-09-07T06:18:27.5566480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tgtelnet
2025-09-07T06:18:27.5567800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-unk
2025-09-07T06:18:27.5569120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4027
2025-09-07T06:18:27.5570400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminology
2025-09-07T06:18:27.5571550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620
2025-09-07T06:18:27.5572810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-mc-vb
2025-09-07T06:18:27.5573900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b+fn
2025-09-07T06:18:27.5575010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tws2103-sna
2025-09-07T06:18:27.5576320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4105-30
2025-09-07T06:18:27.5577490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tws2102-sna
2025-09-07T06:18:27.5578750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025-17-ws
2025-09-07T06:18:27.5579930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b
2025-09-07T06:18:27.5581070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-mc
2025-09-07T06:18:27.5582060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi910
2025-09-07T06:18:27.5583260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-vb
2025-09-07T06:18:27.5584450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4424-1
2025-09-07T06:18:27.5585380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t10
2025-09-07T06:18:27.5586630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-unk
2025-09-07T06:18:27.5587650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti707
2025-09-07T06:18:27.5588820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi921
2025-09-07T06:18:27.5589950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti700
2025-09-07T06:18:27.5591200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4404
2025-09-07T06:18:27.5592470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-2p
2025-09-07T06:18:27.5593480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-2p
2025-09-07T06:18:27.5594600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken
2025-09-07T06:18:27.5595780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tt52
2025-09-07T06:18:27.5596860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025a
2025-09-07T06:18:27.5598020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-vb-p
2025-09-07T06:18:27.5599490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-unk-2p
2025-09-07T06:18:27.5600650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5410v1-w
2025-09-07T06:18:27.5601690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/trs2
2025-09-07T06:18:27.5602880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-mc-2p
2025-09-07T06:18:27.5604010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950
2025-09-07T06:18:27.5605290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti924
2025-09-07T06:18:27.5606390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tw52-m
2025-09-07T06:18:27.5607300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-132
2025-09-07T06:18:27.5608120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-nl
2025-09-07T06:18:27.5609020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5425-w
2025-09-07T06:18:27.5609880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-rv
2025-09-07T06:18:27.5610790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-p-vb
2025-09-07T06:18:27.5611830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-mc-vb
2025-09-07T06:18:27.5612760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi970-2p
2025-09-07T06:18:27.5613610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4207
2025-09-07T06:18:27.5614540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm4.59
2025-09-07T06:18:27.5615410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912cc
2025-09-07T06:18:27.5616430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-vb-unk
2025-09-07T06:18:27.5617270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t3800
2025-09-07T06:18:27.5618220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-mc-vb
2025-09-07T06:18:27.5619200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminology-1.0.0
2025-09-07T06:18:27.5620020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tw100
2025-09-07T06:18:27.5620960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+dim
2025-09-07T06:18:27.5621850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminet300
2025-09-07T06:18:27.5622750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-2018
2025-09-07T06:18:27.5623600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti703-w
2025-09-07T06:18:27.5624470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty43
2025-09-07T06:18:27.5625410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4113
2025-09-07T06:18:27.5626390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-16color
2025-09-07T06:18:27.5627280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminator
2025-09-07T06:18:27.5628120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4114
2025-09-07T06:18:27.5629150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti_ansi
2025-09-07T06:18:27.5630270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts100-ctxt
2025-09-07T06:18:27.5630970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5425-nl
2025-09-07T06:18:27.5631830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teletec
2025-09-07T06:18:27.5632780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts1p
2025-09-07T06:18:27.5633760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-2p-unk
2025-09-07T06:18:27.5634620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-p-vb
2025-09-07T06:18:27.5635490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4125
2025-09-07T06:18:27.5636500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-rv-4p
2025-09-07T06:18:27.5637350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts100
2025-09-07T06:18:27.5638290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-2p
2025-09-07T06:18:27.5639180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5410-w
2025-09-07T06:18:27.5640170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-vb-p
2025-09-07T06:18:27.5640950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab
2025-09-07T06:18:27.5641820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti707-w
2025-09-07T06:18:27.5642950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-p
2025-09-07T06:18:27.5644100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi955-w
2025-09-07T06:18:27.5645370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-mc-2p
2025-09-07T06:18:27.5646570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4113-34
2025-09-07T06:18:27.5648100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-p
2025-09-07T06:18:27.5648910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4115
2025-09-07T06:18:27.5650110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-unk-vb
2025-09-07T06:18:27.5651200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4112
2025-09-07T06:18:27.5652400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminet1200
2025-09-07T06:18:27.5653480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t3700
2025-09-07T06:18:27.5654790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-sc+fkeys
2025-09-07T06:18:27.5655820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t1061f
2025-09-07T06:18:27.5656910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty37
2025-09-07T06:18:27.5658050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c
2025-09-07T06:18:27.5659180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t1061
2025-09-07T06:18:27.5660220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi803
2025-09-07T06:18:27.5661430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tn1200
2025-09-07T06:18:27.5662460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti924-8
2025-09-07T06:18:27.5663580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-vb-unk
2025-09-07T06:18:27.5664850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-vt+fkeys
2025-09-07T06:18:27.5665940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts100-sp
2025-09-07T06:18:27.5666920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4420
2025-09-07T06:18:27.5668150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-2p-mc
2025-09-07T06:18:27.5669240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4424m
2025-09-07T06:18:27.5670350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4105
2025-09-07T06:18:27.5671560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4015-sm
2025-09-07T06:18:27.5672710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-vb-mc
2025-09-07T06:18:27.5673810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminet
2025-09-07T06:18:27.5674850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b
2025-09-07T06:18:27.5676460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-w
2025-09-07T06:18:27.5677360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132-w-rv
2025-09-07T06:18:27.5678380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teleray
2025-09-07T06:18:27.5679450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/trsII
2025-09-07T06:18:27.5680600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+vb
2025-09-07T06:18:27.5681900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-p-2p
2025-09-07T06:18:27.5682950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-2p-p
2025-09-07T06:18:27.5684130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4109brl
2025-09-07T06:18:27.5685230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty4426
2025-09-07T06:18:27.5686450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-2p
2025-09-07T06:18:27.5687670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-unk-2p
2025-09-07T06:18:27.5688870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-w-rv
2025-09-07T06:18:27.5689990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4112-5
2025-09-07T06:18:27.5691090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tmux-256color
2025-09-07T06:18:27.5692170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi924
2025-09-07T06:18:27.5693450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-rv-nl
2025-09-07T06:18:27.5694470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti924-8w
2025-09-07T06:18:27.5695820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-2p-p
2025-09-07T06:18:27.5696860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132-w
2025-09-07T06:18:27.5697840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts-1
2025-09-07T06:18:27.5699030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-p-2p
2025-09-07T06:18:27.5700250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tws-generic
2025-09-07T06:18:27.5701350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tandem6510
2025-09-07T06:18:27.5702600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm-256color
2025-09-07T06:18:27.5703910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-vb-mc
2025-09-07T06:18:27.5704970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912
2025-09-07T06:18:27.5706160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm
2025-09-07T06:18:27.5707260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti733
2025-09-07T06:18:27.5708380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025
2025-09-07T06:18:27.5709530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+mc
2025-09-07T06:18:27.5710940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5410
2025-09-07T06:18:27.5712210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi92D
2025-09-07T06:18:27.5713540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-unk-vb
2025-09-07T06:18:27.5714680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4014
2025-09-07T06:18:27.5715860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-vt
2025-09-07T06:18:27.5716960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-2p
2025-09-07T06:18:27.5718190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4013
2025-09-07T06:18:27.5719380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi970
2025-09-07T06:18:27.5720780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-unk
2025-09-07T06:18:27.5721940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi914
2025-09-07T06:18:27.5722960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti735
2025-09-07T06:18:27.5724090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tmux
2025-09-07T06:18:27.5725180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti703
2025-09-07T06:18:27.5726380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi925
2025-09-07T06:18:27.5727550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/t653x
2025-09-07T06:18:27.5728780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tw52-color
2025-09-07T06:18:27.5729780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/trs16
2025-09-07T06:18:27.5731000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4012
2025-09-07T06:18:27.5731880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420
2025-09-07T06:18:27.5732900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/trs80II
2025-09-07T06:18:27.5733990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4015
2025-09-07T06:18:27.5735190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-sc
2025-09-07T06:18:27.5736370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-p
2025-09-07T06:18:27.5737600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-2p-unk
2025-09-07T06:18:27.5738680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tab132
2025-09-07T06:18:27.5739940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4023
2025-09-07T06:18:27.5741040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-p
2025-09-07T06:18:27.5742210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tandem653
2025-09-07T06:18:27.5743400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4024
2025-09-07T06:18:27.5744560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-2p-mc
2025-09-07T06:18:27.5745630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi955-hb
2025-09-07T06:18:27.5746690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi92B
2025-09-07T06:18:27.5747880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-unk
2025-09-07T06:18:27.5749070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4014-sm
2025-09-07T06:18:27.5750250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-w-nl
2025-09-07T06:18:27.5751250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916
2025-09-07T06:18:27.5752380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4205
2025-09-07T06:18:27.5753480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-vb-p
2025-09-07T06:18:27.5755100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm4.97
2025-09-07T06:18:27.5756240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025-cr
2025-09-07T06:18:27.5757400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4113-nd
2025-09-07T06:18:27.5758670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-vb-mc
2025-09-07T06:18:27.5759950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-vb-unk
2025-09-07T06:18:27.5761160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tmux-direct
2025-09-07T06:18:27.5762240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-220-7
2025-09-07T06:18:27.5763340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4107brl
2025-09-07T06:18:27.5764370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ts1
2025-09-07T06:18:27.5765500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti926
2025-09-07T06:18:27.5766800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-unk-2p
2025-09-07T06:18:27.5768020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti924w
2025-09-07T06:18:27.5769120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tn300
2025-09-07T06:18:27.5770350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi955
2025-09-07T06:18:27.5771490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-4p
2025-09-07T06:18:27.5772440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti928
2025-09-07T06:18:27.5773690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-mc
2025-09-07T06:18:27.5774770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-vb
2025-09-07T06:18:27.5775810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti745
2025-09-07T06:18:27.5776920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tws2103
2025-09-07T06:18:27.5778140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-220-8
2025-09-07T06:18:27.5779250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5620-24
2025-09-07T06:18:27.5780380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5410v1
2025-09-07T06:18:27.5781480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420+nl
2025-09-07T06:18:27.5782630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025ex
2025-09-07T06:18:27.5783770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025-ex
2025-09-07T06:18:27.5784890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-2p-mc
2025-09-07T06:18:27.5786100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-p-vb
2025-09-07T06:18:27.5787260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti800
2025-09-07T06:18:27.5788320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912c-p-vb
2025-09-07T06:18:27.5789560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty5420-w-rv-n
2025-09-07T06:18:27.5790700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b+2p
2025-09-07T06:18:27.5791840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tty40
2025-09-07T06:18:27.5793080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-unk-vb
2025-09-07T06:18:27.5794270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi950-rv-2p
2025-09-07T06:18:27.5795510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-mc
2025-09-07T06:18:27.5796590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-vb
2025-09-07T06:18:27.5797730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tt
2025-09-07T06:18:27.5798640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4207-s
2025-09-07T06:18:27.5799840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi912b-2p-mc
2025-09-07T06:18:27.5801070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/ti916-8
2025-09-07T06:18:27.5802100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teraterm2.3
2025-09-07T06:18:27.5803490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminology-0.6.1
2025-09-07T06:18:27.5804470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi910+
2025-09-07T06:18:27.5805490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvipt
2025-09-07T06:18:27.5806850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920b-vb-mc
2025-09-07T06:18:27.5807870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/termite
2025-09-07T06:18:27.5809280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-2p-unk
2025-09-07T06:18:27.5810350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4105a
2025-09-07T06:18:27.5811510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4112-nd
2025-09-07T06:18:27.5812730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/teken-2022
2025-09-07T06:18:27.5813790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4025-17
2025-09-07T06:18:27.5814930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tvi920c-vb-p
2025-09-07T06:18:27.5816210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tek4106brl
2025-09-07T06:18:27.5817510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/terminology-1.8.1
2025-09-07T06:18:27.5818580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/74/tkterm
2025-09-07T06:18:27.5819750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4c/LFT-PC850
2025-09-07T06:18:27.5820790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4d/MtxOrb162
2025-09-07T06:18:27.5821930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4d/MtxOrb
2025-09-07T06:18:27.5823130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/4d/MtxOrb204
2025-09-07T06:18:27.5824140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/uniterm
2025-09-07T06:18:27.5825300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/ultima2
2025-09-07T06:18:27.5826590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/uniterm49
2025-09-07T06:18:27.5827770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/uts30
2025-09-07T06:18:27.5828940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/ultimaII
2025-09-07T06:18:27.5830100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/unixpc
2025-09-07T06:18:27.5831150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/unknown
2025-09-07T06:18:27.5832220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/75/uwin
2025-09-07T06:18:27.5836980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rebus3180
2025-09-07T06:18:27.5837530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rbcomm-w
2025-09-07T06:18:27.5838090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/report+version
2025-09-07T06:18:27.5838590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-xpm
2025-09-07T06:18:27.5839040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rtpc
2025-09-07T06:18:27.5839510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-16color
2025-09-07T06:18:27.5840480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-cygwin-native
2025-09-07T06:18:27.5841430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent200
2025-09-07T06:18:27.5842470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rt6221
2025-09-07T06:18:27.5843850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rbcomm-nam
2025-09-07T06:18:27.5845020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rbcomm
2025-09-07T06:18:27.5846270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-88color
2025-09-07T06:18:27.5847400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rcons
2025-09-07T06:18:27.5848710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-cygwin
2025-09-07T06:18:27.5849780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent40
2025-09-07T06:18:27.5851010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent100
2025-09-07T06:18:27.5852380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent25
2025-09-07T06:18:27.5853610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/report+da2
2025-09-07T06:18:27.5854640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt
2025-09-07T06:18:27.5855990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent60
2025-09-07T06:18:27.5857120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rio
2025-09-07T06:18:27.5858320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rca
2025-09-07T06:18:27.5859670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-color
2025-09-07T06:18:27.5861280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-256color
2025-09-07T06:18:27.5862440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rt6221-w
2025-09-07T06:18:27.5863500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt-basic
2025-09-07T06:18:27.5864940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rcons-color
2025-09-07T06:18:27.5866200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rio-direct
2025-09-07T06:18:27.5867830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent40+
2025-09-07T06:18:27.5869200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/rxvt+pcfkeys
2025-09-07T06:18:27.5870800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent
2025-09-07T06:18:27.5871990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/72/regent20
2025-09-07T06:18:27.5873210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-vt100
2025-09-07T06:18:27.5874710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kterm
2025-09-07T06:18:27.5876020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-direct
2025-09-07T06:18:27.5877210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-base
2025-09-07T06:18:27.5878590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+sgr
2025-09-07T06:18:27.5879540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kds7372-w
2025-09-07T06:18:27.5880860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kterm-color
2025-09-07T06:18:27.5882300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-vt420pc
2025-09-07T06:18:27.5883450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kvt
2025-09-07T06:18:27.5884730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kaypro
2025-09-07T06:18:27.5885960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole
2025-09-07T06:18:27.5887350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-solaris
2025-09-07T06:18:27.5888680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-linux
2025-09-07T06:18:27.5889740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/ktm
2025-09-07T06:18:27.5890960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+sgr-dumb
2025-09-07T06:18:27.5892180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kitty+common
2025-09-07T06:18:27.5893510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-16color
2025-09-07T06:18:27.5894700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/k45
2025-09-07T06:18:27.5896000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kermit-am
2025-09-07T06:18:27.5897070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kds6402
2025-09-07T06:18:27.5898350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kds7372
2025-09-07T06:18:27.5899870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+acs
2025-09-07T06:18:27.5901060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kitty+setal
2025-09-07T06:18:27.5902330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole+pcfkeys
2025-09-07T06:18:27.5903690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-xf3x
2025-09-07T06:18:27.5904780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kt7ix
2025-09-07T06:18:27.5906190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-256color
2025-09-07T06:18:27.5907440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kermit
2025-09-07T06:18:27.5908760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kitty-direct
2025-09-07T06:18:27.5910150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kt7
2025-09-07T06:18:27.5911300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+color
2025-09-07T06:18:27.5912500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kitty
2025-09-07T06:18:27.5913680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kterm-co
2025-09-07T06:18:27.5915070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+koi8acs
2025-09-07T06:18:27.5916510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/klone+sgr8
2025-09-07T06:18:27.5917990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/konsole-xf4x
2025-09-07T06:18:27.5919010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kon
2025-09-07T06:18:27.5920110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kaypro2
2025-09-07T06:18:27.5921310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6b/kon2
2025-09-07T06:18:27.5922390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/38/8510
2025-09-07T06:18:27.5923530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newscbm
2025-09-07T06:18:27.5924910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-25-mc-nl
2025-09-07T06:18:27.5926080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160wy60wpp
2025-09-07T06:18:27.5927530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build309
2025-09-07T06:18:27.5928650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp-517
2025-09-07T06:18:27.5930040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt200wpp
2025-09-07T06:18:27.5931500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-25-w
2025-09-07T06:18:27.5932820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy50+pp
2025-09-07T06:18:27.5934040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news28-a
2025-09-07T06:18:27.5935190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-25
2025-09-07T06:18:27.5936200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-29-euc
2025-09-07T06:18:27.5937320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/next
2025-09-07T06:18:27.5938310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp-511
2025-09-07T06:18:27.5939370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-s
2025-09-07T06:18:27.5940870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/netbsd6
2025-09-07T06:18:27.5941510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-50-w
2025-09-07T06:18:27.5942710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-60-nti
2025-09-07T06:18:27.5943750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-s-7
2025-09-07T06:18:27.5944850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build440
2025-09-07T06:18:27.5946020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt100an
2025-09-07T06:18:27.5947080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt+sl
2025-09-07T06:18:27.5948110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt100pp
2025-09-07T06:18:27.5949260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newhpkeyboard
2025-09-07T06:18:27.5950290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-42-sjis
2025-09-07T06:18:27.5951300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vpwpp
2025-09-07T06:18:27.5952360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nxterm
2025-09-07T06:18:27.5953450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwe501
2025-09-07T06:18:27.5954470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nansisysk
2025-09-07T06:18:27.5955510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt200an
2025-09-07T06:18:27.5956500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt300pp
2025-09-07T06:18:27.5957620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy325wpp
2025-09-07T06:18:27.5958740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vp+sl
2025-09-07T06:18:27.5959910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news40
2025-09-07T06:18:27.5961120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-35-w
2025-09-07T06:18:27.5962160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy350wpp
2025-09-07T06:18:27.5963320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt300wpp
2025-09-07T06:18:27.5964420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-100
2025-09-07T06:18:27.5965560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-vt220-8
2025-09-07T06:18:27.5966630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp512-a
2025-09-07T06:18:27.5967680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp518-o
2025-09-07T06:18:27.5968940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt300an
2025-09-07T06:18:27.5970080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt200pp
2025-09-07T06:18:27.5971290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt100wpp
2025-09-07T06:18:27.5972270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500
2025-09-07T06:18:27.5973370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp512-o
2025-09-07T06:18:27.5974610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp518-a
2025-09-07T06:18:27.5975840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-100-nti
2025-09-07T06:18:27.5977000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news40-o
2025-09-07T06:18:27.5978060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m
2025-09-07T06:18:27.5979100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-mc
2025-09-07T06:18:27.5980070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+s
2025-09-07T06:18:27.5981410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-nl
2025-09-07T06:18:27.5982540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news40-a
2025-09-07T06:18:27.5983740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c
2025-09-07T06:18:27.5984760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nec5520
2025-09-07T06:18:27.5986020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy325pp
2025-09-07T06:18:27.5987200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt100wan
2025-09-07T06:18:27.5988490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7-s
2025-09-07T06:18:27.5989490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwe501-o
2025-09-07T06:18:27.5990800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news31
2025-09-07T06:18:27.5992050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt300wan
2025-09-07T06:18:27.5993290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp251-o
2025-09-07T06:18:27.5994590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncrvt100wan
2025-09-07T06:18:27.5995800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-old-unk
2025-09-07T06:18:27.5997470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp251-a
2025-09-07T06:18:27.5998950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwe501-a
2025-09-07T06:18:27.6000170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-s-acs
2025-09-07T06:18:27.6001360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+7
2025-09-07T06:18:27.6002950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build400
2025-09-07T06:18:27.6003970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-bce
2025-09-07T06:18:27.6005180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncrvt100an
2025-09-07T06:18:27.6006150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-mc-nl
2025-09-07T06:18:27.6007080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nansisys
2025-09-07T06:18:27.6008070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+acs
2025-09-07T06:18:27.6009440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-w
2025-09-07T06:18:27.6010680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-acs
2025-09-07T06:18:27.6012080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-33-sjis
2025-09-07T06:18:27.6013110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-m
2025-09-07T06:18:27.6014250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m-s-acs
2025-09-07T06:18:27.6015660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp518
2025-09-07T06:18:27.6016850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp511
2025-09-07T06:18:27.6018570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m-7
2025-09-07T06:18:27.6019820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp517-w
2025-09-07T06:18:27.6021020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260intwan
2025-09-07T06:18:27.6022260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-c-s
2025-09-07T06:18:27.6023440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-s
2025-09-07T06:18:27.6024830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy350pp
2025-09-07T06:18:27.6025990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+c41
2025-09-07T06:18:27.6027240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp517
2025-09-07T06:18:27.6028550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa
2025-09-07T06:18:27.6030010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news31-a
2025-09-07T06:18:27.6031190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260intan
2025-09-07T06:18:27.6032400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newhp
2025-09-07T06:18:27.6033640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news31-o
2025-09-07T06:18:27.6035370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m-s
2025-09-07T06:18:27.6036770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt200wan
2025-09-07T06:18:27.6037940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/n7900
2025-09-07T06:18:27.6039240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-29-sjis
2025-09-07T06:18:27.6040490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160wy50+wpp
2025-09-07T06:18:27.6041880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-25
2025-09-07T06:18:27.6043160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nd9500
2025-09-07T06:18:27.6044480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-7
2025-09-07T06:18:27.6045800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-m-s
2025-09-07T06:18:27.6047160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-50
2025-09-07T06:18:27.6048400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build361
2025-09-07T06:18:27.6049740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vpwpp
2025-09-07T06:18:27.6050820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr7900iv
2025-09-07T06:18:27.6051970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-c-s-acs
2025-09-07T06:18:27.6053330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr7901
2025-09-07T06:18:27.6054790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt100wan
2025-09-07T06:18:27.6055910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nansi.sysk
2025-09-07T06:18:27.6057090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt300pp
2025-09-07T06:18:27.6058520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt200an
2025-09-07T06:18:27.6059890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160wy60pp
2025-09-07T06:18:27.6061710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt300wan
2025-09-07T06:18:27.6062710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vppp
2025-09-07T06:18:27.6064180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt200pp
2025-09-07T06:18:27.6065170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt300an
2025-09-07T06:18:27.6066320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7-c-s
2025-09-07T06:18:27.6067620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-c
2025-09-07T06:18:27.6069100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-35
2025-09-07T06:18:27.6070630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-25-nti
2025-09-07T06:18:27.6071660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp-517-w
2025-09-07T06:18:27.6073120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs-m
2025-09-07T06:18:27.6074260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m-acs
2025-09-07T06:18:27.6075880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-25-w-vt
2025-09-07T06:18:27.6077040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr7900
2025-09-07T06:18:27.6078170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-60
2025-09-07T06:18:27.6079610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7-m-s
2025-09-07T06:18:27.6080890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt100an
2025-09-07T06:18:27.6082130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-old
2025-09-07T06:18:27.6083660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-acs
2025-09-07T06:18:27.6084780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt100pp
2025-09-07T06:18:27.6086010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newscbm33
2025-09-07T06:18:27.6087010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news
2025-09-07T06:18:27.6088320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-42-euc
2025-09-07T06:18:27.6089810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-33
2025-09-07T06:18:27.6091200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/no+brackets
2025-09-07T06:18:27.6092250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-unk
2025-09-07T06:18:27.6093690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news42
2025-09-07T06:18:27.6094860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newscbm-o
2025-09-07T06:18:27.6096360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-direct
2025-09-07T06:18:27.6097540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp514-a
2025-09-07T06:18:27.6099400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-256color
2025-09-07T06:18:27.6100360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news29
2025-09-07T06:18:27.6101720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-m-ns
2025-09-07T06:18:27.6103130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp514-o
2025-09-07T06:18:27.6104330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/newscbm-a
2025-09-07T06:18:27.6105490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-25-nl
2025-09-07T06:18:27.6106590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-ns
2025-09-07T06:18:27.6107850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ndr9500-25-mc
2025-09-07T06:18:27.6109190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-35-nti
2025-09-07T06:18:27.6110420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nec
2025-09-07T06:18:27.6111610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy60wpp
2025-09-07T06:18:27.6113050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy50+wpp
2025-09-07T06:18:27.6114270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt200wan
2025-09-07T06:18:27.6115730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160wy50+pp
2025-09-07T06:18:27.6116930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-16color
2025-09-07T06:18:27.6118100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news28
2025-09-07T06:18:27.6119120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+mac
2025-09-07T06:18:27.6120450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-60-w
2025-09-07T06:18:27.6121670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vppp
2025-09-07T06:18:27.6122900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7
2025-09-07T06:18:27.6124440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-w-vt
2025-09-07T06:18:27.6125770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt200wpp
2025-09-07T06:18:27.6127400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260intpp
2025-09-07T06:18:27.6128860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-m-s-7
2025-09-07T06:18:27.6130030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm+c
2025-09-07T06:18:27.6131390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260wy60pp
2025-09-07T06:18:27.6132510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-42
2025-09-07T06:18:27.6133860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole-50-nti
2025-09-07T06:18:27.6134990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news33
2025-09-07T06:18:27.6136140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-s
2025-09-07T06:18:27.6137410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7-c
2025-09-07T06:18:27.6138690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260intwpp
2025-09-07T06:18:27.6139980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-s-7
2025-09-07T06:18:27.6141010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-29
2025-09-07T06:18:27.6142450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-7-m
2025-09-07T06:18:27.6143740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-a
2025-09-07T06:18:27.6145000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncsa-vt220
2025-09-07T06:18:27.6146120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-o
2025-09-07T06:18:27.6147370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr7900i
2025-09-07T06:18:27.6148820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nextshell
2025-09-07T06:18:27.6149970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncrvt100pp
2025-09-07T06:18:27.6151210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp512
2025-09-07T06:18:27.6152610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/northstar
2025-09-07T06:18:27.6153700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm
2025-09-07T06:18:27.6155040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr160vt300wpp
2025-09-07T06:18:27.6156050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncrvt100wpp
2025-09-07T06:18:27.6157680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ncr260vt100wpp
2025-09-07T06:18:27.6159060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nansi.sys
2025-09-07T06:18:27.6160160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build326
2025-09-07T06:18:27.6161490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp513-o
2025-09-07T06:18:27.6162580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp513
2025-09-07T06:18:27.6163690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp514
2025-09-07T06:18:27.6165170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/ntconsole
2025-09-07T06:18:27.6166250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nsterm-build343
2025-09-07T06:18:27.6167420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/nwp513-a
2025-09-07T06:18:27.6168660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6e/news-33-euc
2025-09-07T06:18:27.6169970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/6053-dg
2025-09-07T06:18:27.6170990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/605x-dg
2025-09-07T06:18:27.6172100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/6053
2025-09-07T06:18:27.6173080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/605x
2025-09-07T06:18:27.6174250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/630MTG-24
2025-09-07T06:18:27.6175430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/36/630-lm
2025-09-07T06:18:27.6176770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/31/1178
2025-09-07T06:18:27.6177860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/31/1730-lm
2025-09-07T06:18:27.6179260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel62-w
2025-09-07T06:18:27.6180520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/emu-220
2025-09-07T06:18:27.6181600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/emu
2025-09-07T06:18:27.6182960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel62
2025-09-07T06:18:27.6183980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel64
2025-09-07T06:18:27.6185360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+italics
2025-09-07T06:18:27.6186680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ex155
2025-09-07T06:18:27.6187890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+sgr
2025-09-07T06:18:27.6189230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+strikeout
2025-09-07T06:18:27.6190370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel64-rv
2025-09-07T06:18:27.6191490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/elks-vt52
2025-09-07T06:18:27.6192670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ep4000
2025-09-07T06:18:27.6193940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+index
2025-09-07T06:18:27.6195190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ep48
2025-09-07T06:18:27.6196420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/elks-glasstty
2025-09-07T06:18:27.6197660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/emx-base
2025-09-07T06:18:27.6198940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ecma+color
2025-09-07T06:18:27.6200120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ep40
2025-09-07T06:18:27.6201250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ep4080
2025-09-07T06:18:27.6202550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel62-rv
2025-09-07T06:18:27.6203560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/env230
2025-09-07T06:18:27.6204870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/excel64-w
2025-09-07T06:18:27.6206070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/envision230
2025-09-07T06:18:27.6207260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/ergo4000
2025-09-07T06:18:27.6208380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/elks-ansi
2025-09-07T06:18:27.6209510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/esprit-am
2025-09-07T06:18:27.6210750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/emots
2025-09-07T06:18:27.6211980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/esprit
2025-09-07T06:18:27.6213090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/elks
2025-09-07T06:18:27.6214120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/eterm
2025-09-07T06:18:27.6215320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/exec80
2025-09-07T06:18:27.6216500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/65/eterm-color
2025-09-07T06:18:27.6217580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bct510a
2025-09-07T06:18:27.6218870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-pc-w-rv
2025-09-07T06:18:27.6219980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8
2025-09-07T06:18:27.6221180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-pc-nobold
2025-09-07T06:18:27.6222370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg2.0
2025-09-07T06:18:27.6223210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/b-128
2025-09-07T06:18:27.6224080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300
2025-09-07T06:18:27.6225150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-pc
2025-09-07T06:18:27.6226320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8-pc
2025-09-07T06:18:27.6227520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg3.10rv
2025-09-07T06:18:27.6228530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bee
2025-09-07T06:18:27.6229860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-w-8rv
2025-09-07T06:18:27.6230860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bh4
2025-09-07T06:18:27.6232110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beehiveIIIm
2025-09-07T06:18:27.6233240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-pc-m
2025-09-07T06:18:27.6234510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-pc-rv
2025-09-07T06:18:27.6235550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bracketed+paste
2025-09-07T06:18:27.6236640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-pc
2025-09-07T06:18:27.6237760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg3.10nv
2025-09-07T06:18:27.6238980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8-pc-w
2025-09-07T06:18:27.6240080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8rv
2025-09-07T06:18:27.6241340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-rv
2025-09-07T06:18:27.6242560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/basic4
2025-09-07T06:18:27.6243600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bct510d
2025-09-07T06:18:27.6244700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8w
2025-09-07T06:18:27.6245820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beehive
2025-09-07T06:18:27.6246940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-w
2025-09-07T06:18:27.6248060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg1.25nv
2025-09-07T06:18:27.6249080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg2.0nv
2025-09-07T06:18:27.6250160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bantam
2025-09-07T06:18:27.6251550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bobcat
2025-09-07T06:18:27.6252720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg3.10
2025-09-07T06:18:27.6253930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8-pc-rv
2025-09-07T06:18:27.6255000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bh3m
2025-09-07T06:18:27.6256100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bitgraph
2025-09-07T06:18:27.6257290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-w-rv
2025-09-07T06:18:27.6258220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bterm
2025-09-07T06:18:27.6259500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-pc-mono
2025-09-07T06:18:27.6260600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg1.25rv
2025-09-07T06:18:27.6261750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg2.0rv
2025-09-07T06:18:27.6263000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-sparc
2025-09-07T06:18:27.6264140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beehive4
2025-09-07T06:18:27.6265340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beehive3
2025-09-07T06:18:27.6266430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beterm
2025-09-07T06:18:27.6267520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/basis
2025-09-07T06:18:27.6268570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/blit
2025-09-07T06:18:27.6269690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bsdos-ppc
2025-09-07T06:18:27.6270860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bg1.25
2025-09-07T06:18:27.6272110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-8-pc-w-rv
2025-09-07T06:18:27.6273070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/bq300-pc-w
2025-09-07T06:18:27.6274230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/62/beacon
2025-09-07T06:18:27.6275340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/37/730MTGr
2025-09-07T06:18:27.6276560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/37/730MTGr-24
2025-09-07T06:18:27.6277770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/37/730MTG-24
2025-09-07T06:18:27.6278920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/37/730MTG-41
2025-09-07T06:18:27.6280140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/37/730MTG-41r
2025-09-07T06:18:27.6281140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime314
2025-09-07T06:18:27.6282190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mosh
2025-09-07T06:18:27.6283450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mskermit227
2025-09-07T06:18:27.6284570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mouse-sun
2025-09-07T06:18:27.6285650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mai
2025-09-07T06:18:27.6286710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mterm-ansi
2025-09-07T06:18:27.6287780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mt70
2025-09-07T06:18:27.6288870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mod24
2025-09-07T06:18:27.6289950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime340
2025-09-07T06:18:27.6291110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/modgraph48
2025-09-07T06:18:27.6292180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgterm
2025-09-07T06:18:27.6293520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach-gnu-color
2025-09-07T06:18:27.6294650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/msk227
2025-09-07T06:18:27.6295830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-old
2025-09-07T06:18:27.6297110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mintty+common
2025-09-07T06:18:27.6298320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime-fb
2025-09-07T06:18:27.6299360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/masscomp
2025-09-07T06:18:27.6300480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/masscomp2
2025-09-07T06:18:27.6301720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mterm
2025-09-07T06:18:27.6302730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime2
2025-09-07T06:18:27.6303800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mvterm
2025-09-07T06:18:27.6304830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mt-70
2025-09-07T06:18:27.6306200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-old-am
2025-09-07T06:18:27.6307370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mrxvt-256color
2025-09-07T06:18:27.6308460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm2
2025-09-07T06:18:27.6309630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/macintosh
2025-09-07T06:18:27.6314600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/macterminal-w
2025-09-07T06:18:27.6314830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt100
2025-09-07T06:18:27.6315040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach-gnu
2025-09-07T06:18:27.6315240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mac-w
2025-09-07T06:18:27.6315440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/microterm5
2025-09-07T06:18:27.6316120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/m2-nam
2025-09-07T06:18:27.6317310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mskermit227am
2025-09-07T06:18:27.6318620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm3
2025-09-07T06:18:27.6319960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime2a-v
2025-09-07T06:18:27.6321220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime2a
2025-09-07T06:18:27.6322390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-1.7
2025-09-07T06:18:27.6323560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel2-80
2025-09-07T06:18:27.6324720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/modgraph2
2025-09-07T06:18:27.6325750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1-nb
2025-09-07T06:18:27.6326720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime-hb
2025-09-07T06:18:27.6327870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/msk227am
2025-09-07T06:18:27.6329000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mimeii
2025-09-07T06:18:27.6330170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1b-80
2025-09-07T06:18:27.6331370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/microbee
2025-09-07T06:18:27.6332560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mosh-256color
2025-09-07T06:18:27.6333650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm-direct
2025-09-07T06:18:27.6334800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt100-16color
2025-09-07T06:18:27.6335920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgr-linux
2025-09-07T06:18:27.6337060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mskermit22714
2025-09-07T06:18:27.6338190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mintty-direct
2025-09-07T06:18:27.6339460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mostlike
2025-09-07T06:18:27.6340600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgr-sun
2025-09-07T06:18:27.6341610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mac
2025-09-07T06:18:27.6342660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1
2025-09-07T06:18:27.6343630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgt
2025-09-07T06:18:27.6344730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime-3ax
2025-09-07T06:18:27.6345880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm-256color
2025-09-07T06:18:27.6346910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel12-80
2025-09-07T06:18:27.6347960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/modgraph
2025-09-07T06:18:27.6348840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mgr
2025-09-07T06:18:27.6350030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/microterm
2025-09-07T06:18:27.6351090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm+pcfkeys
2025-09-07T06:18:27.6352240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/masscomp1
2025-09-07T06:18:27.6353670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach-color
2025-09-07T06:18:27.6354700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime1
2025-09-07T06:18:27.6355860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mm314
2025-09-07T06:18:27.6357000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime3a
2025-09-07T06:18:27.6358210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mm340
2025-09-07T06:18:27.6359420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mt4520-rv
2025-09-07T06:18:27.6360520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/megatek
2025-09-07T06:18:27.6361680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel-2-nam
2025-09-07T06:18:27.6362960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1b-nb
2025-09-07T06:18:27.6364120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel-2
2025-09-07T06:18:27.6365360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mono-emx
2025-09-07T06:18:27.6366500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime
2025-09-07T06:18:27.6367710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/msk22714
2025-09-07T06:18:27.6368880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mdl110
2025-09-07T06:18:27.6370110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mimei
2025-09-07T06:18:27.6371160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach
2025-09-07T06:18:27.6372320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime2a-s
2025-09-07T06:18:27.6373410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-1.5
2025-09-07T06:18:27.6374650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/microb
2025-09-07T06:18:27.6375780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/memhp
2025-09-07T06:18:27.6377010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mintty
2025-09-07T06:18:27.6378210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mlterm
2025-09-07T06:18:27.6379550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt100-color
2025-09-07T06:18:27.6380810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix-3.0
2025-09-07T06:18:27.6381820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mime3ax
2025-09-07T06:18:27.6382990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt100+
2025-09-07T06:18:27.6384140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/morphos
2025-09-07T06:18:27.6385290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel
2025-09-07T06:18:27.6386410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minix
2025-09-07T06:18:27.6387530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mod
2025-09-07T06:18:27.6388610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mach-bold
2025-09-07T06:18:27.6389810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/minitel1b
2025-09-07T06:18:27.6391060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-terminal
2025-09-07T06:18:27.6392110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/mrxvt
2025-09-07T06:18:27.6393260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6d/ms-vt-utf8
2025-09-07T06:18:27.6394650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lisaterm-w
2025-09-07T06:18:27.6395860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux3.0
2025-09-07T06:18:27.6397170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux+sfkeys
2025-09-07T06:18:27.6398470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-m2
2025-09-07T06:18:27.6399580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/luna
2025-09-07T06:18:27.6400750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-lat
2025-09-07T06:18:27.6402000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/luna68k
2025-09-07T06:18:27.6403260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-koi8r
2025-09-07T06:18:27.6404590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/la120
2025-09-07T06:18:27.6405680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lft-pc850
2025-09-07T06:18:27.6407100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux2.2
2025-09-07T06:18:27.6408090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-s
2025-09-07T06:18:27.6409250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux+decid
2025-09-07T06:18:27.6410320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lisaterm
2025-09-07T06:18:27.6411790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-16color
2025-09-07T06:18:27.6412730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/ln03
2025-09-07T06:18:27.6414120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/ln03-w
2025-09-07T06:18:27.6415370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-vt
2025-09-07T06:18:27.6416450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/layer
2025-09-07T06:18:27.6417660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux+kbs
2025-09-07T06:18:27.6418810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-basic
2025-09-07T06:18:27.6419990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lisa
2025-09-07T06:18:27.6421040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux
2025-09-07T06:18:27.6422150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-m1
2025-09-07T06:18:27.6423470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-c-nc
2025-09-07T06:18:27.6424730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/liswb
2025-09-07T06:18:27.6425430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lft
2025-09-07T06:18:27.6426370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-m1b
2025-09-07T06:18:27.6427350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux2.6
2025-09-07T06:18:27.6428630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux2.6.26
2025-09-07T06:18:27.6429740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-c
2025-09-07T06:18:27.6431100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-m
2025-09-07T06:18:27.6432270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-nic
2025-09-07T06:18:27.6433430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/linux-koi8
2025-09-07T06:18:27.6434430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/6c/lpr
2025-09-07T06:18:27.6435440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/39/955-w
2025-09-07T06:18:27.6436580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/39/9term
2025-09-07T06:18:27.6437730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/39/955-hb
2025-09-07T06:18:27.6438910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108-4p
2025-09-07T06:18:27.6439980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/coco3
2025-09-07T06:18:27.6440990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-6lpi
2025-09-07T06:18:27.6442030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cx100
2025-09-07T06:18:27.6443270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c321
2025-09-07T06:18:27.6444410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit80
2025-09-07T06:18:27.6445500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50
2025-09-07T06:18:27.6446580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cops-10
2025-09-07T06:18:27.6447840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept-avt
2025-09-07T06:18:27.6448940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50r
2025-09-07T06:18:27.6450040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept100-rv
2025-09-07T06:18:27.6451160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60
2025-09-07T06:18:27.6452290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cci1
2025-09-07T06:18:27.6453480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/coherent
2025-09-07T06:18:27.6454670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cad68-2
2025-09-07T06:18:27.6455850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cyb83
2025-09-07T06:18:27.6457060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-koi8r
2025-09-07T06:18:27.6458140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cbunix
2025-09-07T06:18:27.6459270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-rv
2025-09-07T06:18:27.6460650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-8p
2025-09-07T06:18:27.6461450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cs10-w
2025-09-07T06:18:27.6462590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60l1
2025-09-07T06:18:27.6463780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cad68-3
2025-09-07T06:18:27.6464810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citc
2025-09-07T06:18:27.6466060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-rv-8p
2025-09-07T06:18:27.6467270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108-w8p
2025-09-07T06:18:27.6468340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-ps
2025-09-07T06:18:27.6469530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100-4p
2025-09-07T06:18:27.6470700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101e-n132
2025-09-07T06:18:27.6471770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contel320
2025-09-07T06:18:27.6472950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-koi8r-m
2025-09-07T06:18:27.6473940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ct82
2025-09-07T06:18:27.6475180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ct8500
2025-09-07T06:18:27.6476200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cops
2025-09-07T06:18:27.6477550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept100
2025-09-07T06:18:27.6478650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contel321
2025-09-07T06:18:27.6479930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-8lpi
2025-09-07T06:18:27.6480980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-m
2025-09-07T06:18:27.6482050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25w
2025-09-07T06:18:27.6483140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cbblit
2025-09-07T06:18:27.6484300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108
2025-09-07T06:18:27.6485350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60r
2025-09-07T06:18:27.6486630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ctrm
2025-09-07T06:18:27.6487700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contour
2025-09-07T06:18:27.6488870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101e-rv
2025-09-07T06:18:27.6490060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100-rv-4p
2025-09-07T06:18:27.6491200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ci8510
2025-09-07T06:18:27.6492500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-koi8r-m
2025-09-07T06:18:27.6493700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-iso-m
2025-09-07T06:18:27.6494960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/commodore
2025-09-07T06:18:27.6496030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108
2025-09-07T06:18:27.6497340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons43
2025-09-07T06:18:27.6498500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-iso8859
2025-09-07T06:18:27.6499670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101
2025-09-07T06:18:27.6500860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons30-m
2025-09-07T06:18:27.6502050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60l1-m
2025-09-07T06:18:27.6503160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100
2025-09-07T06:18:27.6504310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc752
2025-09-07T06:18:27.6505360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit500
2025-09-07T06:18:27.6506440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cgc2
2025-09-07T06:18:27.6507510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cg7900
2025-09-07T06:18:27.6508610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cygwinDBG
2025-09-07T06:18:27.6509700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/chromatics
2025-09-07T06:18:27.6510850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50l1-m
2025-09-07T06:18:27.6511980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/colorscan
2025-09-07T06:18:27.6513110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/ca22851
2025-09-07T06:18:27.6514280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-koi8r
2025-09-07T06:18:27.6515410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc721
2025-09-07T06:18:27.6516790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101e-n
2025-09-07T06:18:27.6517630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cgc3
2025-09-07T06:18:27.6518740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-w
2025-09-07T06:18:27.6519910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108-8p
2025-09-07T06:18:27.6521040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cs10
2025-09-07T06:18:27.6522090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-m
2025-09-07T06:18:27.6523270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons30
2025-09-07T06:18:27.6524520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept
2025-09-07T06:18:27.6525700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh
2025-09-07T06:18:27.6526900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-pica
2025-09-07T06:18:27.6528110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-iso
2025-09-07T06:18:27.6529190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contel300
2025-09-07T06:18:27.6530290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-rv-4p
2025-09-07T06:18:27.6531480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-4p
2025-09-07T06:18:27.6532840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-elite
2025-09-07T06:18:27.6534070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contour-direct
2025-09-07T06:18:27.6535140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cops10
2025-09-07T06:18:27.6536260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101e
2025-09-07T06:18:27.6537510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contel301
2025-09-07T06:18:27.6538430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-comp
2025-09-07T06:18:27.6539590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-m
2025-09-07T06:18:27.6540700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100-1p
2025-09-07T06:18:27.6541870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c100-rv
2025-09-07T06:18:27.6542950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc456
2025-09-07T06:18:27.6544070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit-80
2025-09-07T06:18:27.6545350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-iso-m
2025-09-07T06:18:27.6546500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60-iso-m
2025-09-07T06:18:27.6547520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cx
2025-09-07T06:18:27.6548690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25r
2025-09-07T06:18:27.6549900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-debian
2025-09-07T06:18:27.6550990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/crt
2025-09-07T06:18:27.6552300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c108-w-8p
2025-09-07T06:18:27.6553540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons43-m
2025-09-07T06:18:27.6554640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/crt-vt220
2025-09-07T06:18:27.6555770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc721-esc
2025-09-07T06:18:27.6556860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cygwinB19
2025-09-07T06:18:27.6558090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25l1-m
2025-09-07T06:18:27.6559320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/color_xterm
2025-09-07T06:18:27.6560530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50l1
2025-09-07T06:18:27.6561810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/citoh-prop
2025-09-07T06:18:27.6562990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50-koi8r-m
2025-09-07T06:18:27.6564300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-koi8-r
2025-09-07T06:18:27.6565340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c301
2025-09-07T06:18:27.6566560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cyb110
2025-09-07T06:18:27.6567800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25-iso8859
2025-09-07T06:18:27.6568990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108-w-8
2025-09-07T06:18:27.6570020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons60r-m
2025-09-07T06:18:27.6571100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c300
2025-09-07T06:18:27.6572290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25
2025-09-07T06:18:27.6573410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cygwin
2025-09-07T06:18:27.6574690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/contour-latest
2025-09-07T06:18:27.6575900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc721ll
2025-09-07T06:18:27.6577020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25r-m
2025-09-07T06:18:27.6578080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/c104
2025-09-07T06:18:27.6579180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cdc756
2025-09-07T06:18:27.6580370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cit101e-132
2025-09-07T06:18:27.6581640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons50r-m
2025-09-07T06:18:27.6582640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cci
2025-09-07T06:18:27.6583840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/concept108rv4p
2025-09-07T06:18:27.6584990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/63/cons25l1
2025-09-07T06:18:27.6586170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/digilog
2025-09-07T06:18:27.6587230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmd-34
2025-09-07T06:18:27.6588340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmdt80
2025-09-07T06:18:27.6589460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d410-7b-w
2025-09-07T06:18:27.6590650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d555-7b-w
2025-09-07T06:18:27.6591790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d132
2025-09-07T06:18:27.6592850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d230c
2025-09-07T06:18:27.6594010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7102-sna
2025-09-07T06:18:27.6595070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/delta
2025-09-07T06:18:27.6596100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d217-dg
2025-09-07T06:18:27.6597400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7103-sna
2025-09-07T06:18:27.6598510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix
2025-09-07T06:18:27.6599740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7003-dumb
2025-09-07T06:18:27.6600860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d577-7b
2025-09-07T06:18:27.6601930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmchat
2025-09-07T06:18:27.6603120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-128x48-m
2025-09-07T06:18:27.6604270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec-vt220
2025-09-07T06:18:27.6605800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-w-ccc
2025-09-07T06:18:27.6606980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm3025
2025-09-07T06:18:27.6607970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462+s
2025-09-07T06:18:27.6609060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dw1
2025-09-07T06:18:27.6610360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216-unix-25
2025-09-07T06:18:27.6611500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462+25
2025-09-07T06:18:27.6612750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-unix-w
2025-09-07T06:18:27.6613900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-144x48-m
2025-09-07T06:18:27.6615040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec-vt330
2025-09-07T06:18:27.6616190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d578-dg
2025-09-07T06:18:27.6617400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/datapoint
2025-09-07T06:18:27.6618460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d211
2025-09-07T06:18:27.6619650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462e-dg
2025-09-07T06:18:27.6620710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412+
2025-09-07T06:18:27.6621960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-25
2025-09-07T06:18:27.6623020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt80
2025-09-07T06:18:27.6624290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-s-ccc
2025-09-07T06:18:27.6625430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d220
2025-09-07T06:18:27.6626540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d463-unix-w
2025-09-07T06:18:27.6627450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dialogue80
2025-09-07T06:18:27.6628390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-25
2025-09-07T06:18:27.6629470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dumb
2025-09-07T06:18:27.6630730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-sr-ccc
2025-09-07T06:18:27.6631950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg-generic
2025-09-07T06:18:27.6633150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d217-unix-25
2025-09-07T06:18:27.6634370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7003
2025-09-07T06:18:27.6635700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d464-unix-25
2025-09-07T06:18:27.6637050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-112x37-m
2025-09-07T06:18:27.6638120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412+25
2025-09-07T06:18:27.6639180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1720
2025-09-07T06:18:27.6640300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470
2025-09-07T06:18:27.6641490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d413-unix-s
2025-09-07T06:18:27.6642650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462-unix-s
2025-09-07T06:18:27.6643770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/decpro
2025-09-07T06:18:27.6644880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d210
2025-09-07T06:18:27.6646140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/datagraphix
2025-09-07T06:18:27.6647280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216-dg
2025-09-07T06:18:27.6648530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d414-unix-sr
2025-09-07T06:18:27.6649690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-80x25-m
2025-09-07T06:18:27.6650880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d411-7b-w
2025-09-07T06:18:27.6652100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-ccc
2025-09-07T06:18:27.6653190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-sr
2025-09-07T06:18:27.6654320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec-vt340
2025-09-07T06:18:27.6655490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmdt80w
2025-09-07T06:18:27.6656770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dumb-emacs-ansi
2025-09-07T06:18:27.6657990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm80w
2025-09-07T06:18:27.6659020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d577-dg
2025-09-07T06:18:27.6660070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgkeys+11
2025-09-07T06:18:27.6661280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/datamedia2500
2025-09-07T06:18:27.6662360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dtc382
2025-09-07T06:18:27.6663510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d461-w
2025-09-07T06:18:27.6664710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7102-old
2025-09-07T06:18:27.6665920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-m
2025-09-07T06:18:27.6667130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216-unix
2025-09-07T06:18:27.6668290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d413-dg
2025-09-07T06:18:27.6669390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d461-7b-w
2025-09-07T06:18:27.6670690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-s
2025-09-07T06:18:27.6671870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-sr
2025-09-07T06:18:27.6673040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg+color8
2025-09-07T06:18:27.6674290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/djgpp
2025-09-07T06:18:27.6675810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-112x37
2025-09-07T06:18:27.6676940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216e-dg
2025-09-07T06:18:27.6678170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d414-unix-25
2025-09-07T06:18:27.6679280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/ddr3180
2025-09-07T06:18:27.6680490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgkeys+7b
2025-09-07T06:18:27.6681650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462-dg
2025-09-07T06:18:27.6683030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-dg-ccc
2025-09-07T06:18:27.6684130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-sr-ccc
2025-09-07T06:18:27.6685090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d400
2025-09-07T06:18:27.6686300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-dg
2025-09-07T06:18:27.6687400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412+sr
2025-09-07T06:18:27.6688510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-b
2025-09-07T06:18:27.6689690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d464-unix-sr
2025-09-07T06:18:27.6690840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgmode+color8
2025-09-07T06:18:27.6691940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix
2025-09-07T06:18:27.6692970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt110
2025-09-07T06:18:27.6694160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-ccc
2025-09-07T06:18:27.6695280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg-ansi
2025-09-07T06:18:27.6696500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg+fixed
2025-09-07T06:18:27.6697680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmd
2025-09-07T06:18:27.6698950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt-100w
2025-09-07T06:18:27.6700150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1640
2025-09-07T06:18:27.6701430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-128x40
2025-09-07T06:18:27.6702550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d463-dg
2025-09-07T06:18:27.6703750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dataspeed40
2025-09-07T06:18:27.6704900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412+w
2025-09-07T06:18:27.6706030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dd5000
2025-09-07T06:18:27.6707290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec-vt400
2025-09-07T06:18:27.6708330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dp3360
2025-09-07T06:18:27.6709500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg6053-old
2025-09-07T06:18:27.6710610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg210
2025-09-07T06:18:27.6711940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-200x64-m
2025-09-07T06:18:27.6713120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d464-unix-s
2025-09-07T06:18:27.6714330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-128x48
2025-09-07T06:18:27.6715710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-200x64
2025-09-07T06:18:27.6716900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmterm
2025-09-07T06:18:27.6717920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462+
2025-09-07T06:18:27.6719150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo-lm
2025-09-07T06:18:27.6720200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/decansi
2025-09-07T06:18:27.6721250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d460-7b-w
2025-09-07T06:18:27.6722460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-w
2025-09-07T06:18:27.6723550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216+25
2025-09-07T06:18:27.6724920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-m-b
2025-09-07T06:18:27.6726070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d217-unix
2025-09-07T06:18:27.6727190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d578-7b
2025-09-07T06:18:27.6728390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462+sr
2025-09-07T06:18:27.6729480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/ds40-2
2025-09-07T06:18:27.6730570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg211
2025-09-07T06:18:27.6731720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt80w
2025-09-07T06:18:27.6732910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-dg
2025-09-07T06:18:27.6734190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d414-unix-w
2025-09-07T06:18:27.6735260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d410-w
2025-09-07T06:18:27.6736440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d230c-dg
2025-09-07T06:18:27.6737490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d80
2025-09-07T06:18:27.6738600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dw3
2025-09-07T06:18:27.6739830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-90x30
2025-09-07T06:18:27.6740940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt-100
2025-09-07T06:18:27.6741970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg+ccc
2025-09-07T06:18:27.6743210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dw4
2025-09-07T06:18:27.6744480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dwk-vt
2025-09-07T06:18:27.6745590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d460-dg
2025-09-07T06:18:27.6746800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-90x30-m
2025-09-07T06:18:27.6747930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgunix+fixed
2025-09-07T06:18:27.6749070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dialogue
2025-09-07T06:18:27.6750220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d555-dg
2025-09-07T06:18:27.6751310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg450
2025-09-07T06:18:27.6752350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d555
2025-09-07T06:18:27.6753680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470-dg
2025-09-07T06:18:27.6754710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm3045
2025-09-07T06:18:27.6755760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm1520
2025-09-07T06:18:27.6756950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/decwriter
2025-09-07T06:18:27.6757950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-100x37
2025-09-07T06:18:27.6759090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-80x30
2025-09-07T06:18:27.6760190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d460-w
2025-09-07T06:18:27.6761320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm2500
2025-09-07T06:18:27.6762560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-unix
2025-09-07T06:18:27.6763690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d215-7b
2025-09-07T06:18:27.6764840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216+
2025-09-07T06:18:27.6766060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470c-7b
2025-09-07T06:18:27.6767450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1620-m8
2025-09-07T06:18:27.6768630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt80-sas
2025-09-07T06:18:27.6769780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462+w
2025-09-07T06:18:27.6770860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d450-dg
2025-09-07T06:18:27.6772070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-unix-sr
2025-09-07T06:18:27.6773320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-200x75
2025-09-07T06:18:27.6774410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-256x96
2025-09-07T06:18:27.6775470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dw2
2025-09-07T06:18:27.6776630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg605x
2025-09-07T06:18:27.6777940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-200x75-m
2025-09-07T06:18:27.6779140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgmode+color
2025-09-07T06:18:27.6780330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d2-dg
2025-09-07T06:18:27.6781590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d411-dg
2025-09-07T06:18:27.6782610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmd1
2025-09-07T06:18:27.6783750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm1521
2025-09-07T06:18:27.6785050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-25-ccc
2025-09-07T06:18:27.6786030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dwk
2025-09-07T06:18:27.6787140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg6053
2025-09-07T06:18:27.6788390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-128x40-m
2025-09-07T06:18:27.6789400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo
2025-09-07T06:18:27.6790650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d211-7b
2025-09-07T06:18:27.6791730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg200
2025-09-07T06:18:27.6792910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg+color
2025-09-07T06:18:27.6794330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462-unix-25
2025-09-07T06:18:27.6795530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dtterm
2025-09-07T06:18:27.6796630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-160x64
2025-09-07T06:18:27.6797820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dvtm-256color
2025-09-07T06:18:27.6798860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dp8242
2025-09-07T06:18:27.6800050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d400-dg
2025-09-07T06:18:27.6801170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d410
2025-09-07T06:18:27.6802340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d413-unix-sr
2025-09-07T06:18:27.6803630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1740
2025-09-07T06:18:27.6804670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-100x37-m
2025-09-07T06:18:27.6805820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-unix-s
2025-09-07T06:18:27.6807030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d410-dg
2025-09-07T06:18:27.6808090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216+dg
2025-09-07T06:18:27.6809180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d215
2025-09-07T06:18:27.6810440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d463-unix-25
2025-09-07T06:18:27.6811590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt100
2025-09-07T06:18:27.6812740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d464-unix
2025-09-07T06:18:27.6813900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec+pp
2025-09-07T06:18:27.6815040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d463-unix-s
2025-09-07T06:18:27.6816160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d411
2025-09-07T06:18:27.6817330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d413-unix
2025-09-07T06:18:27.6818430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1640-m8
2025-09-07T06:18:27.6819470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d2
2025-09-07T06:18:27.6820610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216e+
2025-09-07T06:18:27.6821720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dw
2025-09-07T06:18:27.6822740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d461-dg
2025-09-07T06:18:27.6823880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dvtm
2025-09-07T06:18:27.6824860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-dg
2025-09-07T06:18:27.6825990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec+sl
2025-09-07T06:18:27.6827200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7202
2025-09-07T06:18:27.6828560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-256x96-m
2025-09-07T06:18:27.6829660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d555-w
2025-09-07T06:18:27.6830530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d411-w
2025-09-07T06:18:27.6831710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d413-unix-w
2025-09-07T06:18:27.6832840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462-unix-w
2025-09-07T06:18:27.6834050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgunix+ccc
2025-09-07T06:18:27.6835260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d220-7b
2025-09-07T06:18:27.6836380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dec-vt100
2025-09-07T06:18:27.6837400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d214
2025-09-07T06:18:27.6838630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo630
2025-09-07T06:18:27.6839760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d463-unix
2025-09-07T06:18:27.6840820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d800
2025-09-07T06:18:27.6841960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dt100w
2025-09-07T06:18:27.6843170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216e+dg
2025-09-07T06:18:27.6844200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d460
2025-09-07T06:18:27.6845350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1730
2025-09-07T06:18:27.6846420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d200
2025-09-07T06:18:27.6847540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/ddr
2025-09-07T06:18:27.6848720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d463-unix-sr
2025-09-07T06:18:27.6849830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-w
2025-09-07T06:18:27.6851030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-f2
2025-09-07T06:18:27.6852150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin
2025-09-07T06:18:27.6853180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470c-dg
2025-09-07T06:18:27.6854360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462+dg
2025-09-07T06:18:27.6855550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/djgpp203
2025-09-07T06:18:27.6856640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/djgpp204
2025-09-07T06:18:27.6857670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d211-dg
2025-09-07T06:18:27.6858820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg6134
2025-09-07T06:18:27.6860010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d411-7b
2025-09-07T06:18:27.6861230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dm80
2025-09-07T06:18:27.6862360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d413-unix-25
2025-09-07T06:18:27.6863720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-w-ccc
2025-09-07T06:18:27.6864840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgkeys+15
2025-09-07T06:18:27.6865930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d577-7b-w
2025-09-07T06:18:27.6867020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d450
2025-09-07T06:18:27.6868260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-f
2025-09-07T06:18:27.6869310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-80x30-m
2025-09-07T06:18:27.6870610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d460-7b
2025-09-07T06:18:27.6871730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg100
2025-09-07T06:18:27.6872750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d461
2025-09-07T06:18:27.6874030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1640-lm
2025-09-07T06:18:27.6875110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d230
2025-09-07T06:18:27.6876480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-144x48
2025-09-07T06:18:27.6877560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d215-dg
2025-09-07T06:18:27.6878790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dgkeys+8b
2025-09-07T06:18:27.6880090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo450
2025-09-07T06:18:27.6881090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470-7b
2025-09-07T06:18:27.6882210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/domterm
2025-09-07T06:18:27.6883280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d470c
2025-09-07T06:18:27.6884440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d414-unix
2025-09-07T06:18:27.6885710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d555-7b
2025-09-07T06:18:27.6887050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d216e-unix
2025-09-07T06:18:27.6888440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-80x25
2025-09-07T06:18:27.6889720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d461-7b
2025-09-07T06:18:27.6891050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-25-ccc
2025-09-07T06:18:27.6892100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-dg-ccc
2025-09-07T06:18:27.6893200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d577-w
2025-09-07T06:18:27.6894470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-160x64-m
2025-09-07T06:18:27.6895610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d578
2025-09-07T06:18:27.6896830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d230-dg
2025-09-07T06:18:27.6898060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dtc300s
2025-09-07T06:18:27.6899190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dg460-ansi
2025-09-07T06:18:27.6900350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d464-unix-w
2025-09-07T06:18:27.6901550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/ds40
2025-09-07T06:18:27.6903160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412+dg
2025-09-07T06:18:27.6903880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d214-dg
2025-09-07T06:18:27.6905020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d220-dg
2025-09-07T06:18:27.6906280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1740-lm
2025-09-07T06:18:27.6907270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412+s
2025-09-07T06:18:27.6908630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/decid+cpr
2025-09-07T06:18:27.6909660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dmd-24
2025-09-07T06:18:27.6910850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-m-f2
2025-09-07T06:18:27.6912030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430c-unix-s-ccc
2025-09-07T06:18:27.6913410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d414-unix-s
2025-09-07T06:18:27.6914930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/diablo1620
2025-09-07T06:18:27.6915970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d200-dg
2025-09-07T06:18:27.6916980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d577
2025-09-07T06:18:27.6918080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462-unix-sr
2025-09-07T06:18:27.6919180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d210-dg
2025-09-07T06:18:27.6920470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d430-unix-s
2025-09-07T06:18:27.6921800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/darwin-m-f
2025-09-07T06:18:27.6923070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d412-unix-25
2025-09-07T06:18:27.6924260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d410-7b
2025-09-07T06:18:27.6925550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/d462-unix
2025-09-07T06:18:27.6926820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/64/dku7102
2025-09-07T06:18:27.6928040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/41/Apple_Terminal
2025-09-07T06:18:27.6929220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-42
2025-09-07T06:18:27.6930550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-epc-w
2025-09-07T06:18:27.6934870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-48wpc
2025-09-07T06:18:27.6935100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse99gt-25
2025-09-07T06:18:27.6935350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy75-mc
2025-09-07T06:18:27.6935560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-w
2025-09-07T06:18:27.6936150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-25-w
2025-09-07T06:18:27.6937480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-w-vb
2025-09-07T06:18:27.6938570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-42wvb
2025-09-07T06:18:27.6939530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-w
2025-09-07T06:18:27.6940740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy75-wvb
2025-09-07T06:18:27.6942270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-42-w
2025-09-07T06:18:27.6943040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-wvb
2025-09-07T06:18:27.6944270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy50-vb
2025-09-07T06:18:27.6945520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150-25
2025-09-07T06:18:27.6946610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-w
2025-09-07T06:18:27.6947750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-43-w
2025-09-07T06:18:27.6949150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120-25
2025-09-07T06:18:27.6950340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-wvb
2025-09-07T06:18:27.6951540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-43
2025-09-07T06:18:27.6952750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse75ap
2025-09-07T06:18:27.6953920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-w-vb
2025-09-07T06:18:27.6955080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy75
2025-09-07T06:18:27.6956210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy30-mc
2025-09-07T06:18:27.6957390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-vb
2025-09-07T06:18:27.6958610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-36pc
2025-09-07T06:18:27.6959710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-36w
2025-09-07T06:18:27.6961060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-316X
2025-09-07T06:18:27.6962230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-epc-vb
2025-09-07T06:18:27.6963390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-25
2025-09-07T06:18:27.6964670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120-25
2025-09-07T06:18:27.6965850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-w
2025-09-07T06:18:27.6966980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-AT
2025-09-07T06:18:27.6968170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse370
2025-09-07T06:18:27.6969290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy100
2025-09-07T06:18:27.6970410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse85-vb
2025-09-07T06:18:27.6971620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse350-w
2025-09-07T06:18:27.6972940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy30-vb
2025-09-07T06:18:27.6974020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-25
2025-09-07T06:18:27.6975390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-w
2025-09-07T06:18:27.6976400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy350
2025-09-07T06:18:27.6977520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120
2025-09-07T06:18:27.6978580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse50
2025-09-07T06:18:27.6979690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325w-24
2025-09-07T06:18:27.6981110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-42w
2025-09-07T06:18:27.6982150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-wvb
2025-09-07T06:18:27.6983380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520
2025-09-07T06:18:27.6984690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse75-wvb
2025-09-07T06:18:27.6985850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy75-vb
2025-09-07T06:18:27.6987310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-25-w
2025-09-07T06:18:27.6988330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-48w
2025-09-07T06:18:27.6989570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-43wvb
2025-09-07T06:18:27.6990850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120-w
2025-09-07T06:18:27.6992060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150-w
2025-09-07T06:18:27.6993210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy50-mc
2025-09-07T06:18:27.6994430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150-25
2025-09-07T06:18:27.6995530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325
2025-09-07T06:18:27.6996690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-wvb
2025-09-07T06:18:27.6997810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-epc
2025-09-07T06:18:27.6999100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-vb
2025-09-07T06:18:27.7000120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60
2025-09-07T06:18:27.7001300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-25
2025-09-07T06:18:27.7002630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-25-w
2025-09-07T06:18:27.7003730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wsvt25
2025-09-07T06:18:27.7004890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150-vb
2025-09-07T06:18:27.7006120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/winconsole
2025-09-07T06:18:27.7007200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150
2025-09-07T06:18:27.7008300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-43
2025-09-07T06:18:27.7009350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wrenw
2025-09-07T06:18:27.7010700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-42w-vb
2025-09-07T06:18:27.7011760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse75
2025-09-07T06:18:27.7013070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy75ap
2025-09-07T06:18:27.7014260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-wvb
2025-09-07T06:18:27.7015510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse185-w
2025-09-07T06:18:27.7016760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-43-w
2025-09-07T06:18:27.7017930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-vb
2025-09-07T06:18:27.7018960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy185
2025-09-07T06:18:27.7020050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wezterm
2025-09-07T06:18:27.7021270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-42
2025-09-07T06:18:27.7022570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse99gt-w
2025-09-07T06:18:27.7023940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-316X
2025-09-07T06:18:27.7025220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160
2025-09-07T06:18:27.7026350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120-vb
2025-09-07T06:18:27.7027690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wsvt25m
2025-09-07T06:18:27.7028920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-36w
2025-09-07T06:18:27.7030420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-43w-vb
2025-09-07T06:18:27.7031570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy-99fgt
2025-09-07T06:18:27.7032860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-epc-wvb
2025-09-07T06:18:27.7033900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-vb
2025-09-07T06:18:27.7035310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy50
2025-09-07T06:18:27.7036370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-25
2025-09-07T06:18:27.7037240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-w
2025-09-07T06:18:27.7038150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-PC
2025-09-07T06:18:27.7039050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-42-w
2025-09-07T06:18:27.7039980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120-vb
2025-09-07T06:18:27.7040890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-42w
2025-09-07T06:18:27.7041790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-80
2025-09-07T06:18:27.7042730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-w
2025-09-07T06:18:27.7043640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-42
2025-09-07T06:18:27.7044550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-48w
2025-09-07T06:18:27.7045500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-w-vb
2025-09-07T06:18:27.7046370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99fa
2025-09-07T06:18:27.7047240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wren
2025-09-07T06:18:27.7048110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150-vb
2025-09-07T06:18:27.7049070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-epc-24
2025-09-07T06:18:27.7050000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-wvb
2025-09-07T06:18:27.7050840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy100q
2025-09-07T06:18:27.7051830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse99gt-wvb
2025-09-07T06:18:27.7052990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse-75ap
2025-09-07T06:18:27.7053550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60
2025-09-07T06:18:27.7054490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-epc
2025-09-07T06:18:27.7055560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse99gt-vb
2025-09-07T06:18:27.7056310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-43
2025-09-07T06:18:27.7057220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-36pc
2025-09-07T06:18:27.7058140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-36wpc
2025-09-07T06:18:27.7059090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wsiris
2025-09-07T06:18:27.7059950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120-w-vb
2025-09-07T06:18:27.7061280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-wvb
2025-09-07T06:18:27.7062410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-vb
2025-09-07T06:18:27.7063450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy-75ap
2025-09-07T06:18:27.7064710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse50-w
2025-09-07T06:18:27.7065960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-42
2025-09-07T06:18:27.7067200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy350-vb
2025-09-07T06:18:27.7068380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse75-w
2025-09-07T06:18:27.7069600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt
2025-09-07T06:18:27.7070810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy85
2025-09-07T06:18:27.7071870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-48
2025-09-07T06:18:27.7073130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse85-8bit
2025-09-07T06:18:27.7074370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150-w-vb
2025-09-07T06:18:27.7075590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-48pc
2025-09-07T06:18:27.7076690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99gt-tek
2025-09-07T06:18:27.7077910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-42-w
2025-09-07T06:18:27.7078980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99-ansi
2025-09-07T06:18:27.7080190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-wvb
2025-09-07T06:18:27.7081430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-vb
2025-09-07T06:18:27.7082700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-25
2025-09-07T06:18:27.7083770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse-325
2025-09-07T06:18:27.7085230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy185-wvb
2025-09-07T06:18:27.7086330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-43w
2025-09-07T06:18:27.7087510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-PC
2025-09-07T06:18:27.7088710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy185-vb
2025-09-07T06:18:27.7089890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy350-wvb
2025-09-07T06:18:27.7091180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-105k
2025-09-07T06:18:27.7092280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-24
2025-09-07T06:18:27.7093370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-43
2025-09-07T06:18:27.7094790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-25w
2025-09-07T06:18:27.7096020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-25-w
2025-09-07T06:18:27.7097270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150
2025-09-07T06:18:27.7098510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-pc-24
2025-09-07T06:18:27.7099670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120-25-w
2025-09-07T06:18:27.7100910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-48
2025-09-07T06:18:27.7102030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-nk
2025-09-07T06:18:27.7103230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy185-w
2025-09-07T06:18:27.7104510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-24
2025-09-07T06:18:27.7105740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-43
2025-09-07T06:18:27.7106950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99f
2025-09-07T06:18:27.7108320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99fgt
2025-09-07T06:18:27.7109610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse185-vb
2025-09-07T06:18:27.7110850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy85-w
2025-09-07T06:18:27.7111960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-43-w
2025-09-07T06:18:27.7113180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120-wvb
2025-09-07T06:18:27.7114230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160
2025-09-07T06:18:27.7115510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-vb
2025-09-07T06:18:27.7116690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-36wpc
2025-09-07T06:18:27.7117770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150-25-w
2025-09-07T06:18:27.7119010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99a-ansi
2025-09-07T06:18:27.7120150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse30
2025-09-07T06:18:27.7121370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-w-vb
2025-09-07T06:18:27.7122590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse350-vb
2025-09-07T06:18:27.7123830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse185
2025-09-07T06:18:27.7125110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-42
2025-09-07T06:18:27.7125910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy50-w
2025-09-07T06:18:27.7127090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-vb
2025-09-07T06:18:27.7128400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-p-wvb
2025-09-07T06:18:27.7129540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse185-24
2025-09-07T06:18:27.7130790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120-25-w
2025-09-07T06:18:27.7131870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-wvb
2025-09-07T06:18:27.7133320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-36
2025-09-07T06:18:27.7134390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse75-vb
2025-09-07T06:18:27.7135510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse350
2025-09-07T06:18:27.7136780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120
2025-09-07T06:18:27.7137930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy75-w
2025-09-07T06:18:27.7139140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-pc-vb
2025-09-07T06:18:27.7140350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-48wpc
2025-09-07T06:18:27.7141510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse120-w
2025-09-07T06:18:27.7142990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-epc-w
2025-09-07T06:18:27.7144120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150-w
2025-09-07T06:18:27.7145460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse50-mc
2025-09-07T06:18:27.7146590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse99gt
2025-09-07T06:18:27.7147870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse50-wvb
2025-09-07T06:18:27.7149080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-25
2025-09-07T06:18:27.7150090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370
2025-09-07T06:18:27.7151390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-43-w
2025-09-07T06:18:27.7152380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-tek
2025-09-07T06:18:27.7153680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-AT
2025-09-07T06:18:27.7154900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-wvb
2025-09-07T06:18:27.7156000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse85-wvb
2025-09-07T06:18:27.7157180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse150-25-w
2025-09-07T06:18:27.7158320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy85-vb
2025-09-07T06:18:27.7159630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy350-w
2025-09-07T06:18:27.7160710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-42-w
2025-09-07T06:18:27.7161960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy85-8bit
2025-09-07T06:18:27.7163110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325
2025-09-07T06:18:27.7164120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse85
2025-09-07T06:18:27.7165410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-25w
2025-09-07T06:18:27.7166680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse160-w
2025-09-07T06:18:27.7167750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520
2025-09-07T06:18:27.7168990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse30-vb
2025-09-07T06:18:27.7170180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse350-wvb
2025-09-07T06:18:27.7171390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse185-wvb
2025-09-07T06:18:27.7172700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse325-43w
2025-09-07T06:18:27.7173800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-43
2025-09-07T06:18:27.7175250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy85-wvb
2025-09-07T06:18:27.7176480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy120-wvb
2025-09-07T06:18:27.7177690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse30-mc
2025-09-07T06:18:27.7178900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse85-w
2025-09-07T06:18:27.7179970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse60-vb
2025-09-07T06:18:27.7181090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-101k
2025-09-07T06:18:27.7182340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse+sl
2025-09-07T06:18:27.7183480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy99fgta
2025-09-07T06:18:27.7184660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse-vp
2025-09-07T06:18:27.7185790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy30
2025-09-07T06:18:27.7187010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-48pc
2025-09-07T06:18:27.7188340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-36
2025-09-07T06:18:27.7189610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy150-w-vb
2025-09-07T06:18:27.7190670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy185-24
2025-09-07T06:18:27.7191770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy60-42
2025-09-07T06:18:27.7192900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-tek
2025-09-07T06:18:27.7194190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse520-w
2025-09-07T06:18:27.7195320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse75-mc
2025-09-07T06:18:27.7196540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy520-vb
2025-09-07T06:18:27.7197690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-25
2025-09-07T06:18:27.7198750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy50-wvb
2025-09-07T06:18:27.7200220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-rv
2025-09-07T06:18:27.7201360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse50-vb
2025-09-07T06:18:27.7202730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy-99fgta
2025-09-07T06:18:27.7203920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wyse99gt-25-w
2025-09-07T06:18:27.7205060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy325-w
2025-09-07T06:18:27.7206280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy370-EPC
2025-09-07T06:18:27.7207430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/77/wy160-25-w
2025-09-07T06:18:27.7208760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt25
2025-09-07T06:18:27.7210020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon0
2025-09-07T06:18:27.7211350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt210
2025-09-07T06:18:27.7212520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc3-bold
2025-09-07T06:18:27.7213670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p4
2025-09-07T06:18:27.7215020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism14-m
2025-09-07T06:18:27.7216370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism9-w
2025-09-07T06:18:27.7217600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-43-m
2025-09-07T06:18:27.7218780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+keypad
2025-09-07T06:18:27.7219920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt40
2025-09-07T06:18:27.7220920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p14-w
2025-09-07T06:18:27.7222070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p14-m
2025-09-07T06:18:27.7223340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt200w
2025-09-07T06:18:27.7224470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism14-w
2025-09-07T06:18:27.7225530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccons
2025-09-07T06:18:27.7226850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism9-8-w
2025-09-07T06:18:27.7228220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pmconsole
2025-09-07T06:18:27.7229230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvtXX
2025-09-07T06:18:27.7230600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p5
2025-09-07T06:18:27.7231540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-vt100
2025-09-07T06:18:27.7232590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p19
2025-09-07T06:18:27.7233660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty
2025-09-07T06:18:27.7234960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p9-8-w
2025-09-07T06:18:27.7236100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc6300plus
2025-09-07T06:18:27.7237410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-96x48
2025-09-07T06:18:27.7238530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcconsole
2025-09-07T06:18:27.7239450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pro350
2025-09-07T06:18:27.7240400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pckermit12
2025-09-07T06:18:27.7241300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi25
2025-09-07T06:18:27.7242220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p9-8
2025-09-07T06:18:27.7243220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+xterm
2025-09-07T06:18:27.7244070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc-venix
2025-09-07T06:18:27.7245000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-basic
2025-09-07T06:18:27.7245890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pckermit
2025-09-07T06:18:27.7246910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+sgr+acs0
2025-09-07T06:18:27.7248010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-43
2025-09-07T06:18:27.7248990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pty
2025-09-07T06:18:27.7250020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt505
2025-09-07T06:18:27.7251340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon
2025-09-07T06:18:27.7252370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism7
2025-09-07T06:18:27.7253610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc-minix
2025-09-07T06:18:27.7254790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism9
2025-09-07T06:18:27.7255910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pckermit120
2025-09-07T06:18:27.7257060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt50w
2025-09-07T06:18:27.7258210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism8
2025-09-07T06:18:27.7259400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-fast
2025-09-07T06:18:27.7260490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/printer
2025-09-07T06:18:27.7261630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe1251
2025-09-07T06:18:27.7262930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-33
2025-09-07T06:18:27.7264290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt35w
2025-09-07T06:18:27.7265540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+vt400
2025-09-07T06:18:27.7266620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-25-m
2025-09-07T06:18:27.7267950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism14-m-w
2025-09-07T06:18:27.7269050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p8-w
2025-09-07T06:18:27.7270290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-m
2025-09-07T06:18:27.7271530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p8gl
2025-09-07T06:18:27.7272930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+sgr+acs
2025-09-07T06:18:27.7274190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-m1
2025-09-07T06:18:27.7275310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+cursor
2025-09-07T06:18:27.7276680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys
2025-09-07T06:18:27.7277900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-256color
2025-09-07T06:18:27.7279210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-90x28
2025-09-07T06:18:27.7280530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-mono
2025-09-07T06:18:27.7281650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt250
2025-09-07T06:18:27.7282890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe6100
2025-09-07T06:18:27.7284210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism12-m-w
2025-09-07T06:18:27.7285230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcz19
2025-09-07T06:18:27.7286320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism9-8
2025-09-07T06:18:27.7287410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm
2025-09-07T06:18:27.7288810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+vt100
2025-09-07T06:18:27.7289890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p12-m
2025-09-07T06:18:27.7290830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p7
2025-09-07T06:18:27.7292030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt43
2025-09-07T06:18:27.7293200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p9
2025-09-07T06:18:27.7294520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism12-w
2025-09-07T06:18:27.7295540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt40w
2025-09-07T06:18:27.7296570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt28
2025-09-07T06:18:27.7297760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe1100
2025-09-07T06:18:27.7299040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc-coherent
2025-09-07T06:18:27.7300110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe550
2025-09-07T06:18:27.7301150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p8
2025-09-07T06:18:27.7302380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p12-m-w
2025-09-07T06:18:27.7303540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc3
2025-09-07T06:18:27.7304760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcmw
2025-09-07T06:18:27.7305900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt43w
2025-09-07T06:18:27.7307180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism12-m
2025-09-07T06:18:27.7309000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p12-w
2025-09-07T06:18:27.7309510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc3r-m
2025-09-07T06:18:27.7310680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt25w
2025-09-07T06:18:27.7311760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe6312
2025-09-07T06:18:27.7313060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-sco
2025-09-07T06:18:27.7314280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+esc
2025-09-07T06:18:27.7315440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p9-w
2025-09-07T06:18:27.7316500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc3r
2025-09-07T06:18:27.7317700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism12
2025-09-07T06:18:27.7318900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe7000m
2025-09-07T06:18:27.7320170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-m1b
2025-09-07T06:18:27.7321200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi
2025-09-07T06:18:27.7322380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe7000c
2025-09-07T06:18:27.7323670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt25-color
2025-09-07T06:18:27.7324920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi43
2025-09-07T06:18:27.7326010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p14
2025-09-07T06:18:27.7327300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p14-m-w
2025-09-07T06:18:27.7328510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism14
2025-09-07T06:18:27.7329830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-noapp
2025-09-07T06:18:27.7330950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pilot
2025-09-07T06:18:27.7331950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/p12
2025-09-07T06:18:27.7333460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+colors
2025-09-07T06:18:27.7334830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+linux
2025-09-07T06:18:27.7335910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi25m
2025-09-07T06:18:27.7337070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psx_ansi
2025-09-07T06:18:27.7338290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-25
2025-09-07T06:18:27.7339420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt100
2025-09-07T06:18:27.7340510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/ps300
2025-09-07T06:18:27.7341720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe1200
2025-09-07T06:18:27.7342910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt250w
2025-09-07T06:18:27.7344060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism8gl
2025-09-07T06:18:27.7345180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi33
2025-09-07T06:18:27.7346510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism4
2025-09-07T06:18:27.7347830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt505-24
2025-09-07T06:18:27.7348910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism8-w
2025-09-07T06:18:27.7350280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcplot
2025-09-07T06:18:27.7351710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+fnkeys+sco
2025-09-07T06:18:27.7352710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-screen
2025-09-07T06:18:27.7353830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+keys
2025-09-07T06:18:27.7354990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism5
2025-09-07T06:18:27.7356210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt505-22
2025-09-07T06:18:27.7357270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/prism2
2025-09-07T06:18:27.7358510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty-m2
2025-09-07T06:18:27.7359740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pc7300
2025-09-07T06:18:27.7361080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/psterm-80x24
2025-09-07T06:18:27.7362260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon+base
2025-09-07T06:18:27.7363410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi33m
2025-09-07T06:18:27.7364560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon-m
2025-09-07T06:18:27.7365670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt100w
2025-09-07T06:18:27.7366930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pe6300
2025-09-07T06:18:27.7368150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pt200
2025-09-07T06:18:27.7369250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt35
2025-09-07T06:18:27.7370420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt28w
2025-09-07T06:18:27.7371690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pmcons
2025-09-07T06:18:27.7372800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcix
2025-09-07T06:18:27.7374030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pccon0-m
2025-09-07T06:18:27.7375060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcvt50
2025-09-07T06:18:27.7376430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/pcansi-33-m
2025-09-07T06:18:27.7377670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/70/putty+screen
2025-09-07T06:18:27.7378750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qdcons
2025-09-07T06:18:27.7379840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203
2025-09-07T06:18:27.7381030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119p-25
2025-09-07T06:18:27.7382310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119+-25-w
2025-09-07T06:18:27.7383600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119p-25-w
2025-09-07T06:18:27.7384740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxt
2025-09-07T06:18:27.7385960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203-25
2025-09-07T06:18:27.7387170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119
2025-09-07T06:18:27.7388230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnx
2025-09-07T06:18:27.7389330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxt4
2025-09-07T06:18:27.7390620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt103
2025-09-07T06:18:27.7391870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119-w
2025-09-07T06:18:27.7393060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119p
2025-09-07T06:18:27.7394240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi-g
2025-09-07T06:18:27.7395480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203-25-w
2025-09-07T06:18:27.7396630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119+-w
2025-09-07T06:18:27.7397700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt102
2025-09-07T06:18:27.7398920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi-t
2025-09-07T06:18:27.7400080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxt2
2025-09-07T06:18:27.7401460Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203-w
2025-09-07T06:18:27.7402470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt101p
2025-09-07T06:18:27.7403570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxtmono
2025-09-07T06:18:27.7404860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt103-w
2025-09-07T06:18:27.7406060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119+-25
2025-09-07T06:18:27.7407200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qume
2025-09-07T06:18:27.7408490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203-w-am
2025-09-07T06:18:27.7409710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxw
2025-09-07T06:18:27.7410800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnx4
2025-09-07T06:18:27.7411860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119p-w
2025-09-07T06:18:27.7413160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qnxm
2025-09-07T06:18:27.7414310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi-m
2025-09-07T06:18:27.7415420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qdss
2025-09-07T06:18:27.7416660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi-w
2025-09-07T06:18:27.7418100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt101
2025-09-07T06:18:27.7419190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119+
2025-09-07T06:18:27.7420340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt108
2025-09-07T06:18:27.7421700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qume5
2025-09-07T06:18:27.7422940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qansi
2025-09-07T06:18:27.7424050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt101+
2025-09-07T06:18:27.7425200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt203+
2025-09-07T06:18:27.7426690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/71/qvt119-25-w
2025-09-07T06:18:27.7427430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt61
2025-09-07T06:18:27.7428470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt330
2025-09-07T06:18:27.7429570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt102
2025-09-07T06:18:27.7430660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt50
2025-09-07T06:18:27.7431880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vp60
2025-09-07T06:18:27.7432960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-putty
2025-09-07T06:18:27.7434130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-8
2025-09-07T06:18:27.7435340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-nav-w
2025-09-07T06:18:27.7436450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt300
2025-09-07T06:18:27.7437640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt132
2025-09-07T06:18:27.7438600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc403a
2025-09-07T06:18:27.7440140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+pcedit
2025-09-07T06:18:27.7441230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-s
2025-09-07T06:18:27.7442340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip
2025-09-07T06:18:27.7443510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-direct
2025-09-07T06:18:27.7444700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewpoint90
2025-09-07T06:18:27.7445880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte+pcfkeys
2025-09-07T06:18:27.7446790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-nam
2025-09-07T06:18:27.7447720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vitty
2025-09-07T06:18:27.7448560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt102-w
2025-09-07T06:18:27.7449560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/versaterm
2025-09-07T06:18:27.7450370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/visa50
2025-09-07T06:18:27.7451260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt52+arrows
2025-09-07T06:18:27.7452100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vp3a+
2025-09-07T06:18:27.7453030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewdata
2025-09-07T06:18:27.7453950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2014
2025-09-07T06:18:27.7454760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi550
2025-09-07T06:18:27.7455830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt102-nsgr
2025-09-07T06:18:27.7456620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-old
2025-09-07T06:18:27.7457570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt-61
2025-09-07T06:18:27.7458380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-k311
2025-09-07T06:18:27.7459340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+
2025-09-07T06:18:27.7460200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+keypad
2025-09-07T06:18:27.7461150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vtnt
2025-09-07T06:18:27.7462360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+4bsd
2025-09-07T06:18:27.7463600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewdata-o
2025-09-07T06:18:27.7464680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt61.5
2025-09-07T06:18:27.7465750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt510pc
2025-09-07T06:18:27.7466860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc203
2025-09-07T06:18:27.7467950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/v200-nam
2025-09-07T06:18:27.7469120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220
2025-09-07T06:18:27.7470380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-k3
2025-09-07T06:18:27.7471370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100nam
2025-09-07T06:18:27.7472590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2012
2025-09-07T06:18:27.7473590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi300
2025-09-07T06:18:27.7474870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vapple
2025-09-07T06:18:27.7475780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip-H
2025-09-07T06:18:27.7476880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2008
2025-09-07T06:18:27.7477940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc415
2025-09-07T06:18:27.7479170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt400
2025-09-07T06:18:27.7480290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-vb
2025-09-07T06:18:27.7481530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+vtedit
2025-09-07T06:18:27.7482770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-nam
2025-09-07T06:18:27.7484030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+noapp
2025-09-07T06:18:27.7485180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/v320n
2025-09-07T06:18:27.7486290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vv100
2025-09-07T06:18:27.7487410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+enq
2025-09-07T06:18:27.7488660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-w
2025-09-07T06:18:27.7489760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt102+enq
2025-09-07T06:18:27.7491040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2007
2025-09-07T06:18:27.7492210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-s-top
2025-09-07T06:18:27.7493430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc414
2025-09-07T06:18:27.7494510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-w
2025-09-07T06:18:27.7495620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt52-basic
2025-09-07T06:18:27.7496800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vk100
2025-09-07T06:18:27.7497830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-8bit
2025-09-07T06:18:27.7498930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt520
2025-09-07T06:18:27.7500010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt340
2025-09-07T06:18:27.7501300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vs100-x10
2025-09-07T06:18:27.7502530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-nam-w
2025-09-07T06:18:27.7503770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+noapp+pc
2025-09-07T06:18:27.7504950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi55
2025-09-07T06:18:27.7506160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi603
2025-09-07T06:18:27.7507090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vwmterm
2025-09-07T06:18:27.7508280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420pcdos
2025-09-07T06:18:27.7509340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-js
2025-09-07T06:18:27.7510380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vs100
2025-09-07T06:18:27.7511530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt520ansi
2025-09-07T06:18:27.7512650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt510
2025-09-07T06:18:27.7513850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-js
2025-09-07T06:18:27.7514930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-256color
2025-09-07T06:18:27.7516020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip7800-w
2025-09-07T06:18:27.7517190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+cvis
2025-09-07T06:18:27.7518260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc103
2025-09-07T06:18:27.7519500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-8bit
2025-09-07T06:18:27.7520720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi300-old
2025-09-07T06:18:27.7522030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200-w
2025-09-07T06:18:27.7522930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vp90
2025-09-07T06:18:27.7524350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+fnkeys
2025-09-07T06:18:27.7525500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi200-f
2025-09-07T06:18:27.7526580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420f
2025-09-07T06:18:27.7527730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt400-24
2025-09-07T06:18:27.7528840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt300-w
2025-09-07T06:18:27.7530010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/visual603
2025-09-07T06:18:27.7531220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-w
2025-09-07T06:18:27.7532390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewpoint60
2025-09-07T06:18:27.7533550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt52
2025-09-07T06:18:27.7534700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt131
2025-09-07T06:18:27.7535830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt50h
2025-09-07T06:18:27.7536930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100
2025-09-07T06:18:27.7538030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/venix
2025-09-07T06:18:27.7539260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2017
2025-09-07T06:18:27.7540390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip7800-Hw
2025-09-07T06:18:27.7541470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc404
2025-09-07T06:18:27.7542520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420
2025-09-07T06:18:27.7543730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-w-nav
2025-09-07T06:18:27.7544740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte
2025-09-07T06:18:27.7545990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/v3220
2025-09-07T06:18:27.7546960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-bot-s
2025-09-07T06:18:27.7548130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-w-nam
2025-09-07T06:18:27.7549250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi500
2025-09-07T06:18:27.7550430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc414h
2025-09-07T06:18:27.7551810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt52+keypad
2025-09-07T06:18:27.7553060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vte-2018
2025-09-07T06:18:27.7558330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420+lrmm
2025-09-07T06:18:27.7558730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+pfkeys
2025-09-07T06:18:27.7559040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt510pcdos
2025-09-07T06:18:27.7559270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vremote
2025-09-07T06:18:27.7559500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-top-s
2025-09-07T06:18:27.7559810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewdata-rv
2025-09-07T06:18:27.7560670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip-w
2025-09-07T06:18:27.7561900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-nav
2025-09-07T06:18:27.7563020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-base
2025-09-07T06:18:27.7564230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt300-w-nam
2025-09-07T06:18:27.7565490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewpoint3a+
2025-09-07T06:18:27.7566820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-nam
2025-09-07T06:18:27.7568200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-bm-o
2025-09-07T06:18:27.7569040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi50adm
2025-09-07T06:18:27.7570210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt300-nam
2025-09-07T06:18:27.7571440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt200
2025-09-07T06:18:27.7572600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220d
2025-09-07T06:18:27.7573490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vsc
2025-09-07T06:18:27.7574620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt420pc
2025-09-07T06:18:27.7575830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-8
2025-09-07T06:18:27.7576980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vanilla
2025-09-07T06:18:27.7578110Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vscode
2025-09-07T06:18:27.7579150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt125
2025-09-07T06:18:27.7580340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip-Hw
2025-09-07T06:18:27.7581530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220-old
2025-09-07T06:18:27.7582700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/v5410
2025-09-07T06:18:27.7583670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100+keypad
2025-09-07T06:18:27.7584690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc303a
2025-09-07T06:18:27.7585970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-am
2025-09-07T06:18:27.7587150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-s-bot
2025-09-07T06:18:27.7588310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320nam
2025-09-07T06:18:27.7589420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-w-am
2025-09-07T06:18:27.7590580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320
2025-09-07T06:18:27.7591740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc303
2025-09-07T06:18:27.7592590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi50
2025-09-07T06:18:27.7593840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vip7800-H
2025-09-07T06:18:27.7594950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/viewpoint
2025-09-07T06:18:27.7596030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vc404-s
2025-09-07T06:18:27.7597130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt220+cvis8
2025-09-07T06:18:27.7598160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt-utf8
2025-09-07T06:18:27.7599200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi200
2025-09-07T06:18:27.7600350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt100-bm
2025-09-07T06:18:27.7601490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vscode-direct
2025-09-07T06:18:27.7602560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt525
2025-09-07T06:18:27.7603730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vi200-rv
2025-09-07T06:18:27.7604880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/76/vt320-w-nam
2025-09-07T06:18:27.7606140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-256color
2025-09-07T06:18:27.7607380Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+r6f2
2025-09-07T06:18:27.7608640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-112x37
2025-09-07T06:18:27.7609720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+200x64
2025-09-07T06:18:27.7611020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+x10mouse
2025-09-07T06:18:27.7612170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+128x48
2025-09-07T06:18:27.7613360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+osc104
2025-09-07T06:18:27.7614630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-200x64-m
2025-09-07T06:18:27.7615910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-color
2025-09-07T06:18:27.7617250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-16color
2025-09-07T06:18:27.7618580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xf86-v40
2025-09-07T06:18:27.7619840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+128x40
2025-09-07T06:18:27.7621000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-m-b
2025-09-07T06:18:27.7622360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+direct256
2025-09-07T06:18:27.7623640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+direct2
2025-09-07T06:18:27.7624850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+app+pc
2025-09-07T06:18:27.7625860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xgterm
2025-09-07T06:18:27.7627140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+88color
2025-09-07T06:18:27.7628150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+c
2025-09-07T06:18:27.7629450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pce2
2025-09-07T06:18:27.7630510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-200x64
2025-09-07T06:18:27.7631810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-128x48
2025-09-07T06:18:27.7633090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+app
2025-09-07T06:18:27.7634200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-8bit
2025-09-07T06:18:27.7635420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xerox820
2025-09-07T06:18:27.7636540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x1750
2025-09-07T06:18:27.7637740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+112x37
2025-09-07T06:18:27.7638790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xtermm
2025-09-07T06:18:27.7640040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xi
2025-09-07T06:18:27.7641260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcc0
2025-09-07T06:18:27.7642510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-f
2025-09-07T06:18:27.7643640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-x11hilite
2025-09-07T06:18:27.7644630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xtermc
2025-09-07T06:18:27.7645700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-80x25-m
2025-09-07T06:18:27.7646480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcf2
2025-09-07T06:18:27.7647650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+keypad
2025-09-07T06:18:27.7648280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm
2025-09-07T06:18:27.7649230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-128x40
2025-09-07T06:18:27.7650240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+noapp
2025-09-07T06:18:27.7651010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+b
2025-09-07T06:18:27.7652060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-basic
2025-09-07T06:18:27.7652870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+meta
2025-09-07T06:18:27.7653800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+x11mouse
2025-09-07T06:18:27.7654680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-f2
2025-09-07T06:18:27.7655500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x820
2025-09-07T06:18:27.7656480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcc1
2025-09-07T06:18:27.7657340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-r6
2025-09-07T06:18:27.7658280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x1720
2025-09-07T06:18:27.7659090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm.js
2025-09-07T06:18:27.7660140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-88color
2025-09-07T06:18:27.7660950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+tmux2
2025-09-07T06:18:27.7662030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-144x48-m
2025-09-07T06:18:27.7663060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-direct2
2025-09-07T06:18:27.7663800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+decedit
2025-09-07T06:18:27.7664920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-utf8
2025-09-07T06:18:27.7666440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+x11hilite
2025-09-07T06:18:27.7667550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-direct16
2025-09-07T06:18:27.7668530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xdku
2025-09-07T06:18:27.7669730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x68k-ite
2025-09-07T06:18:27.7671060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+alt+title
2025-09-07T06:18:27.7672320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-112x37-m
2025-09-07T06:18:27.7673550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+direct
2025-09-07T06:18:27.7674810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xf86-v333
2025-09-07T06:18:27.7675960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xfree86
2025-09-07T06:18:27.7677080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-vt220
2025-09-07T06:18:27.7678070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+acs
2025-09-07T06:18:27.7679280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-hp
2025-09-07T06:18:27.7680440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-new
2025-09-07T06:18:27.7681890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-noapp
2025-09-07T06:18:27.7682840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pc+edit
2025-09-07T06:18:27.7683880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-1003
2025-09-07T06:18:27.7684910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterms-sun
2025-09-07T06:18:27.7686040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sl-twm
2025-09-07T06:18:27.7687300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+basic
2025-09-07T06:18:27.7688610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sm+1003
2025-09-07T06:18:27.7689820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-pcolor
2025-09-07T06:18:27.7690800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xenix
2025-09-07T06:18:27.7692060Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-direct256
2025-09-07T06:18:27.7693050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc
2025-09-07T06:18:27.7694250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sm+1002
2025-09-07T06:18:27.7695390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+focus
2025-09-07T06:18:27.7696610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sm+1005
2025-09-07T06:18:27.7697850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-1005
2025-09-07T06:18:27.7699120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-128x48-m
2025-09-07T06:18:27.7700340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xerox-lm
2025-09-07T06:18:27.7701620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+nopcfkeys
2025-09-07T06:18:27.7702720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-direct
2025-09-07T06:18:27.7703950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-1002
2025-09-07T06:18:27.7705030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-sco
2025-09-07T06:18:27.7706210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-144x48
2025-09-07T06:18:27.7707300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-p371
2025-09-07T06:18:27.7708690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+256setaf
2025-09-07T06:18:27.7709880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-160x64-m
2025-09-07T06:18:27.7710980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+vt+edit
2025-09-07T06:18:27.7712090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+kbs
2025-09-07T06:18:27.7713370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-80x30
2025-09-07T06:18:27.7714490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-90x30-m
2025-09-07T06:18:27.7715690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-x11mouse
2025-09-07T06:18:27.7716640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xwsh
2025-09-07T06:18:27.7717710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xtalk
2025-09-07T06:18:27.7719080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xf86-v43
2025-09-07T06:18:27.7720410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-xf86-v44
2025-09-07T06:18:27.7721610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-p370
2025-09-07T06:18:27.7722750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-m-f
2025-09-07T06:18:27.7723960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-90x30
2025-09-07T06:18:27.7724970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xl83
2025-09-07T06:18:27.7726070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xfce
2025-09-07T06:18:27.7727310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcc3
2025-09-07T06:18:27.7728510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x1700
2025-09-07T06:18:27.7729560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-24
2025-09-07T06:18:27.7730950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+sl-alt
2025-09-07T06:18:27.7732160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+144x48
2025-09-07T06:18:27.7733420Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-b
2025-09-07T06:18:27.7734670Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-old
2025-09-07T06:18:27.7735860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+alt47
2025-09-07T06:18:27.7736960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+f2
2025-09-07T06:18:27.7738190Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-x10mouse
2025-09-07T06:18:27.7739330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc+80x25
2025-09-07T06:18:27.7740650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcf0
2025-09-07T06:18:27.7741810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+nofkeys
2025-09-07T06:18:27.7743070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+256color
2025-09-07T06:18:27.7744230Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/x1700-lm
2025-09-07T06:18:27.7745270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xnuppc-m
2025-09-07T06:18:27.7746640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+256color2
2025-09-07T06:18:27.7747880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm-r5
2025-09-07T06:18:27.7749080Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+titlestack
2025-09-07T06:18:27.7750250Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xerox1720
2025-09-07T06:18:27.7751390Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm+pcc2
2025-09-07T06:18:27.7752580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/ncurses-6.5-hee39554_0/share/terminfo/78/xterm1
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2025-09-07T06:18:27.9275850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/test/tests/test_jupyter.py
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2025-09-07T06:18:27.9279730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/test/tests/_card_render.py
2025-09-07T06:18:27.9281020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/test/tests/test_highlighter.py
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2025-09-07T06:18:27.9288780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/test/tests/test_spinner.py
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2025-09-07T06:18:27.9291280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/test/run_test.py
2025-09-07T06:18:27.9292660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/test/test_time_dependencies.json
2025-09-07T06:18:27.9293840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/info/licenses/LICENSE
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2025-09-07T06:18:27.9427520Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_extension.cpython-313.pyc
2025-09-07T06:18:27.9428880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/measure.cpython-313.pyc
2025-09-07T06:18:27.9430170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/screen.cpython-313.pyc
2025-09-07T06:18:27.9431640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/palette.cpython-313.pyc
2025-09-07T06:18:27.9432830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/region.cpython-313.pyc
2025-09-07T06:18:27.9434240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/themes.cpython-313.pyc
2025-09-07T06:18:27.9435550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/emoji.cpython-313.pyc
2025-09-07T06:18:27.9436990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_stack.cpython-313.pyc
2025-09-07T06:18:27.9438320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/control.cpython-313.pyc
2025-09-07T06:18:27.9440810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_inspect.cpython-313.pyc
2025-09-07T06:18:27.9441180Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/syntax.cpython-313.pyc
2025-09-07T06:18:27.9442270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/panel.cpython-313.pyc
2025-09-07T06:18:27.9443890Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/table.cpython-313.pyc
2025-09-07T06:18:27.9445570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_wrap.cpython-313.pyc
2025-09-07T06:18:27.9447270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/live.cpython-313.pyc
2025-09-07T06:18:27.9449020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/align.cpython-313.pyc
2025-09-07T06:18:27.9450750Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/jupyter.cpython-313.pyc
2025-09-07T06:18:27.9452450Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/markup.cpython-313.pyc
2025-09-07T06:18:27.9454320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_windows_renderer.cpython-313.pyc
2025-09-07T06:18:27.9456030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/protocol.cpython-313.pyc
2025-09-07T06:18:27.9457680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_pick.cpython-313.pyc
2025-09-07T06:18:27.9459270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_timer.cpython-313.pyc
2025-09-07T06:18:27.9460950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/spinner.cpython-313.pyc
2025-09-07T06:18:27.9462700Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/styled.cpython-313.pyc
2025-09-07T06:18:27.9464200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/json.cpython-313.pyc
2025-09-07T06:18:27.9466100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_export_format.cpython-313.pyc
2025-09-07T06:18:27.9467720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/pager.cpython-313.pyc
2025-09-07T06:18:27.9469440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/progress_bar.cpython-313.pyc
2025-09-07T06:18:27.9471160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/__main__.cpython-313.pyc
2025-09-07T06:18:27.9472840Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/box.cpython-313.pyc
2025-09-07T06:18:27.9474440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/columns.cpython-313.pyc
2025-09-07T06:18:27.9476260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/diagnose.cpython-313.pyc
2025-09-07T06:18:27.9478050Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:27.9479770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/traceback.cpython-313.pyc
2025-09-07T06:18:27.9481480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_null_file.cpython-313.pyc
2025-09-07T06:18:27.9483270Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/_win32_console.cpython-313.pyc
2025-09-07T06:18:27.9484930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/console.cpython-313.pyc
2025-09-07T06:18:27.9486760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/color_triplet.cpython-313.pyc
2025-09-07T06:18:27.9488480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__pycache__/padding.cpython-313.pyc
2025-09-07T06:18:27.9489880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/palette.py
2025-09-07T06:18:27.9491330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/markup.py
2025-09-07T06:18:27.9492680Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_ratio.py
2025-09-07T06:18:27.9494040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/repr.py
2025-09-07T06:18:27.9495540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/constrain.py
2025-09-07T06:18:27.9496950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/pretty.py
2025-09-07T06:18:27.9498500Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/diagnose.py
2025-09-07T06:18:27.9499910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/columns.py
2025-09-07T06:18:27.9501130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/rule.py
2025-09-07T06:18:27.9502570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_inspect.py
2025-09-07T06:18:27.9504040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/markdown.py
2025-09-07T06:18:27.9505410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/pager.py
2025-09-07T06:18:27.9506880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/text.py
2025-09-07T06:18:27.9508210Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/highlighter.py
2025-09-07T06:18:27.9509900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_spinners.py
2025-09-07T06:18:27.9511160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/terminal_theme.py
2025-09-07T06:18:27.9512570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/bar.py
2025-09-07T06:18:27.9513810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/live.py
2025-09-07T06:18:27.9515240Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/py.typed
2025-09-07T06:18:27.9516640Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/syntax.py
2025-09-07T06:18:27.9518040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/table.py
2025-09-07T06:18:27.9519610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_export_format.py
2025-09-07T06:18:27.9521120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/progress_bar.py
2025-09-07T06:18:27.9522470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/errors.py
2025-09-07T06:18:27.9523730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/prompt.py
2025-09-07T06:18:27.9525120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/segment.py
2025-09-07T06:18:27.9526550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/ansi.py
2025-09-07T06:18:27.9527810Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/progress.py
2025-09-07T06:18:27.9529290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_stack.py
2025-09-07T06:18:27.9530730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_windows.py
2025-09-07T06:18:27.9532360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_cell_widths.py
2025-09-07T06:18:27.9533790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/cells.py
2025-09-07T06:18:27.9535140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_win32_console.py
2025-09-07T06:18:27.9536610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/panel.py
2025-09-07T06:18:27.9537930Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/styled.py
2025-09-07T06:18:27.9539260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/spinner.py
2025-09-07T06:18:27.9540800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_windows_renderer.py
2025-09-07T06:18:27.9542130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/json.py
2025-09-07T06:18:27.9543350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/padding.py
2025-09-07T06:18:27.9544760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/__main__.py
2025-09-07T06:18:27.9546320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/scope.py
2025-09-07T06:18:27.9547630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/_extension.py
2025-09-07T06:18:27.9548940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/status.py
2025-09-07T06:18:27.9550400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/abc.py
2025-09-07T06:18:27.9551880Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/jupyter.py
2025-09-07T06:18:27.9553200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/rich-13.9.4-py313hca03da5_0/lib/python3.13/site-packages/rich/color_triplet.py
2025-09-07T06:18:27.9554300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/conda-anaconda-tos-0.2.2-py313hca03da5_1.conda
2025-09-07T06:18:27.9555100Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libsolv-0.7.30-h514c7bf_1.conda
2025-09-07T06:18:27.9555910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libnghttp2-1.57.0-h62f6fdd_0.conda
2025-09-07T06:18:27.9556870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libssh2-1.11.1-h3e2b118_0.conda
2025-09-07T06:18:27.9557900Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/bin/xmllint
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2025-09-07T06:18:27.9559970Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/bin/xmlcatalog
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2025-09-07T06:18:27.9562610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/parserInternals.h
2025-09-07T06:18:27.9563870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/xpointer.h
2025-09-07T06:18:27.9565220Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/debugXML.h
2025-09-07T06:18:27.9566560Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/schematron.h
2025-09-07T06:18:27.9567870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/uri.h
2025-09-07T06:18:27.9569150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/parser.h
2025-09-07T06:18:27.9570440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/encoding.h
2025-09-07T06:18:27.9571710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/tree.h
2025-09-07T06:18:27.9572960Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/threads.h
2025-09-07T06:18:27.9574280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/libxml2-2.13.8-h0b34f26_0/include/libxml2/libxml/xmlversion.h
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2025-09-07T06:18:28.1415510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_fields.cpython-313.pyc
2025-09-07T06:18:28.1417350Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_typing_extra.cpython-313.pyc
2025-09-07T06:18:28.1419630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_generate_schema.cpython-313.pyc
2025-09-07T06:18:28.1421610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_core_metadata.cpython-313.pyc
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2025-09-07T06:18:28.1425620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_docs_extraction.cpython-313.pyc
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2025-09-07T06:18:28.1437410Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_model_construction.cpython-313.pyc
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2025-09-07T06:18:28.1441280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_schema_gather.cpython-313.pyc
2025-09-07T06:18:28.1443550Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_known_annotated_metadata.cpython-313.pyc
2025-09-07T06:18:28.1445600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_discriminated_union.cpython-313.pyc
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2025-09-07T06:18:28.1451630Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_dataclasses.cpython-313.pyc
2025-09-07T06:18:28.1453800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_schema_generation_shared.cpython-313.pyc
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2025-09-07T06:18:28.1457790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_decorators_v1.cpython-313.pyc
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2025-09-07T06:18:28.1461990Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/__pycache__/_internal_dataclass.cpython-313.pyc
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2025-09-07T06:18:28.1465600Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_model_construction.py
2025-09-07T06:18:28.1467340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_signature.py
2025-09-07T06:18:28.1469000Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_generate_schema.py
2025-09-07T06:18:28.1470830Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_schema_gather.py
2025-09-07T06:18:28.1472620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_discriminated_union.py
2025-09-07T06:18:28.1474330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_forward_ref.py
2025-09-07T06:18:28.1476120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_decorators.py
2025-09-07T06:18:28.1477870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_core_metadata.py
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2025-09-07T06:18:28.1481150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_config.py
2025-09-07T06:18:28.1482940Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_mock_val_ser.py
2025-09-07T06:18:28.1484740Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_git.py
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2025-09-07T06:18:28.1488090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_dataclasses.py
2025-09-07T06:18:28.1490030Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/_internal/_internal_dataclass.py
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2025-09-07T06:18:28.1493330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/__init__.py
2025-09-07T06:18:28.1495430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/__pycache__/pipeline.cpython-313.pyc
2025-09-07T06:18:28.1497590Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/__pycache__/arguments_schema.cpython-313.pyc
2025-09-07T06:18:28.1499570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:28.1501280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/pipeline.py
2025-09-07T06:18:28.1503140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/experimental/arguments_schema.py
2025-09-07T06:18:28.1504760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/functional_validators.py
2025-09-07T06:18:28.1506540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/alias_generators.py
2025-09-07T06:18:28.1508160Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/color.py
2025-09-07T06:18:28.1509780Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/config.py
2025-09-07T06:18:28.1511310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/version.py
2025-09-07T06:18:28.1513020Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/fields.py
2025-09-07T06:18:28.1514720Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/error_wrappers.py
2025-09-07T06:18:28.1516290Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/decorator.py
2025-09-07T06:18:28.1517860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/validators.py
2025-09-07T06:18:28.1519280Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/warnings.py
2025-09-07T06:18:28.1520770Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/tools.py
2025-09-07T06:18:28.1522300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/_loader.py
2025-09-07T06:18:28.1523860Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/__init__.py
2025-09-07T06:18:28.1525730Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/_schema_validator.py
2025-09-07T06:18:28.1527820Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/__pycache__/_loader.cpython-313.pyc
2025-09-07T06:18:28.1529850Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/__pycache__/_schema_validator.cpython-313.pyc
2025-09-07T06:18:28.1531800Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/plugin/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:28.1533300Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/env_settings.py
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2025-09-07T06:18:28.1536440Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/mypy.py
2025-09-07T06:18:28.1537910Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/types.py
2025-09-07T06:18:28.1539660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/class_validators.py
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2025-09-07T06:18:28.1543260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/typing.cpython-313.pyc
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2025-09-07T06:18:28.1547120Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/networks.cpython-313.pyc
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2025-09-07T06:18:28.1550690Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/generics.cpython-313.pyc
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2025-09-07T06:18:28.1554340Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/validators.cpython-313.pyc
2025-09-07T06:18:28.1556170Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/color.cpython-313.pyc
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2025-09-07T06:18:28.1560360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/validate_call_decorator.cpython-313.pyc
2025-09-07T06:18:28.1562320Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/annotated_handlers.cpython-313.pyc
2025-09-07T06:18:28.1564010Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/fields.cpython-313.pyc
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2025-09-07T06:18:28.1567650Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/aliases.cpython-313.pyc
2025-09-07T06:18:28.1569660Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/_migration.cpython-313.pyc
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2025-09-07T06:18:28.1575480Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/datetime_parse.cpython-313.pyc
2025-09-07T06:18:28.1577430Z /opt/homebrew/Caskroom/miniconda/base/pkgs/pydantic-2.11.7-py313hca03da5_0/lib/python3.13/site-packages/pydantic/__pycache__/dataclasses.cpython-313.pyc
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2025-09-07T06:18:28.3927150Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/info/licenses/LICENSE.md
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2025-09-07T06:18:28.3958510Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_init.3
2025-09-07T06:18:28.3959570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_reinit.3
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2025-09-07T06:18:28.3963580Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_queue.3
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2025-09-07T06:18:28.3966200Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_search_dnsrec.3
2025-09-07T06:18:28.3967330Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_destroy.3
2025-09-07T06:18:28.3969040Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_dns_parse.3
2025-09-07T06:18:28.3969980Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_inet_pton.3
2025-09-07T06:18:28.3970950Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_process.3
2025-09-07T06:18:28.3971920Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_create_query.3
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2025-09-07T06:18:28.3979140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_library_init.3
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2025-09-07T06:18:28.3981760Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_free_string.3
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2025-09-07T06:18:28.3984260Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_getsock.3
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2025-09-07T06:18:28.3988140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_mkquery.3
2025-09-07T06:18:28.3989310Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_dns_write.3
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2025-09-07T06:18:28.3993400Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_set_servers_ports_csv.3
2025-09-07T06:18:28.3994620Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_freeaddrinfo.3
2025-09-07T06:18:28.3996130Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_destroy_options.3
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2025-09-07T06:18:28.3998470Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_fds.3
2025-09-07T06:18:28.3999790Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_gethostbyname.3
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2025-09-07T06:18:28.4006490Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_timeout.3
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2025-09-07T06:18:28.4020370Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_dns_opt_get_name.3
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2025-09-07T06:18:28.4028070Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_set_socket_configure_callback.3
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2025-09-07T06:18:28.4037570Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_library_init_android.3
2025-09-07T06:18:28.4038710Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_strerror.3
2025-09-07T06:18:28.4040090Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_dns_class_fromstr.3
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2025-09-07T06:18:28.4042540Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_send.3
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2025-09-07T06:18:28.4045530Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_parse_aaaa_reply.3
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2025-09-07T06:18:28.4047870Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_set_socket_callback.3
2025-09-07T06:18:28.4049360Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_dns_flags_t.3
2025-09-07T06:18:28.4050610Z /opt/homebrew/Caskroom/miniconda/base/pkgs/c-ares-1.34.5-h2ca31fc_0/share/man/man3/ares_parse_ns_reply.3
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2025-09-07T06:18:28.4150140Z /opt/homebrew/Caskroom/miniconda/base/pkgs/readchar-4.0.5-py313hca03da5_0/info/licenses/LICENSE
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2025-09-07T06:18:28.5067500Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/sq.msg
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2025-09-07T06:18:28.5074430Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_co.msg
2025-09-07T06:18:28.5075430Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/gv.msg
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2025-09-07T06:18:28.5127280Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_pr.msg
2025-09-07T06:18:28.5127390Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/en_ph.msg
2025-09-07T06:18:28.5127510Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/ms_my.msg
2025-09-07T06:18:28.5127630Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_uy.msg
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2025-09-07T06:18:28.5138760Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/eu_es.msg
2025-09-07T06:18:28.5139490Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/pt.msg
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2025-09-07T06:18:28.5141020Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_cr.msg
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2025-09-07T06:18:28.5142480Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/he.msg
2025-09-07T06:18:28.5143190Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/hr.msg
2025-09-07T06:18:28.5143950Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_mx.msg
2025-09-07T06:18:28.5144770Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/et.msg
2025-09-07T06:18:28.5145420Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/fo.msg
2025-09-07T06:18:28.5146270Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/es_ve.msg
2025-09-07T06:18:28.5146980Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/zh_tw.msg
2025-09-07T06:18:28.5147700Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/sl.msg
2025-09-07T06:18:28.5148320Z /opt/homebrew/Caskroom/miniconda/base/lib/tcl8.6/msgs/de.msg
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2025-09-07T06:18:28.7116510Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/cmdline.py
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2025-09-07T06:18:28.7175350Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/sas.py
2025-09-07T06:18:28.7176590Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/material.py
2025-09-07T06:18:28.7177860Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/friendly_grayscale.py
2025-09-07T06:18:28.7179100Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/pastie.py
2025-09-07T06:18:28.7180160Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/onedark.py
2025-09-07T06:18:28.7181420Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/inkpot.py
2025-09-07T06:18:28.7182590Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/xcode.py
2025-09-07T06:18:28.7183890Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/gruvbox.py
2025-09-07T06:18:28.7184930Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/monokai.py
2025-09-07T06:18:28.7186200Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/tango.py
2025-09-07T06:18:28.7187390Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/friendly.py
2025-09-07T06:18:28.7194300Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/staroffice.py
2025-09-07T06:18:28.7194810Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/paraiso_dark.py
2025-09-07T06:18:28.7195040Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/solarized.py
2025-09-07T06:18:28.7195260Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__init__.py
2025-09-07T06:18:28.7195660Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/algol_nu.py
2025-09-07T06:18:28.7195930Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/gh_dark.py
2025-09-07T06:18:28.7196160Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/native.py
2025-09-07T06:18:28.7197110Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/xcode.cpython-313.pyc
2025-09-07T06:18:28.7198430Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/algol.cpython-313.pyc
2025-09-07T06:18:28.7199910Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/colorful.cpython-313.pyc
2025-09-07T06:18:28.7201420Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/borland.cpython-313.pyc
2025-09-07T06:18:28.7203150Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/arduino.cpython-313.pyc
2025-09-07T06:18:28.7204170Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/onedark.cpython-313.pyc
2025-09-07T06:18:28.7205690Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/stata_dark.cpython-313.pyc
2025-09-07T06:18:28.7209630Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/fruity.cpython-313.pyc
2025-09-07T06:18:28.7209960Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/lightbulb.cpython-313.pyc
2025-09-07T06:18:28.7210320Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/algol_nu.cpython-313.pyc
2025-09-07T06:18:28.7211180Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/lilypond.cpython-313.pyc
2025-09-07T06:18:28.7213580Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/gh_dark.cpython-313.pyc
2025-09-07T06:18:28.7214590Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/manni.cpython-313.pyc
2025-09-07T06:18:28.7215700Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/igor.cpython-313.pyc
2025-09-07T06:18:28.7217200Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/material.cpython-313.pyc
2025-09-07T06:18:28.7218570Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/murphy.cpython-313.pyc
2025-09-07T06:18:28.7219850Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/lovelace.cpython-313.pyc
2025-09-07T06:18:28.7221130Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/vs.cpython-313.pyc
2025-09-07T06:18:28.7222570Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/nord.cpython-313.pyc
2025-09-07T06:18:28.7224050Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/inkpot.cpython-313.pyc
2025-09-07T06:18:28.7225590Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/coffee.cpython-313.pyc
2025-09-07T06:18:28.7226650Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/gruvbox.cpython-313.pyc
2025-09-07T06:18:28.7228120Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/friendly_grayscale.cpython-313.pyc
2025-09-07T06:18:28.7229490Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/paraiso_light.cpython-313.pyc
2025-09-07T06:18:28.7230980Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/zenburn.cpython-313.pyc
2025-09-07T06:18:28.7232480Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/stata_light.cpython-313.pyc
2025-09-07T06:18:28.7233730Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/rrt.cpython-313.pyc
2025-09-07T06:18:28.7235060Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/autumn.cpython-313.pyc
2025-09-07T06:18:28.7236290Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/pastie.cpython-313.pyc
2025-09-07T06:18:28.7237720Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/paraiso_dark.cpython-313.pyc
2025-09-07T06:18:28.7239050Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/sas.cpython-313.pyc
2025-09-07T06:18:28.7240500Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/dracula.cpython-313.pyc
2025-09-07T06:18:28.7241980Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/solarized.cpython-313.pyc
2025-09-07T06:18:28.7243360Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/native.cpython-313.pyc
2025-09-07T06:18:28.7244670Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/emacs.cpython-313.pyc
2025-09-07T06:18:28.7246210Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/default.cpython-313.pyc
2025-09-07T06:18:28.7247570Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/tango.cpython-313.pyc
2025-09-07T06:18:28.7249110Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/rainbow_dash.cpython-313.pyc
2025-09-07T06:18:28.7250280Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/bw.cpython-313.pyc
2025-09-07T06:18:28.7251750Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/abap.cpython-313.pyc
2025-09-07T06:18:28.7252990Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/perldoc.cpython-313.pyc
2025-09-07T06:18:28.7254270Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/_mapping.cpython-313.pyc
2025-09-07T06:18:28.7255710Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/friendly.cpython-313.pyc
2025-09-07T06:18:28.7257140Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/vim.cpython-313.pyc
2025-09-07T06:18:28.7258650Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/monokai.cpython-313.pyc
2025-09-07T06:18:28.7259970Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/trac.cpython-313.pyc
2025-09-07T06:18:28.7261350Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:28.7262920Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/__pycache__/staroffice.cpython-313.pyc
2025-09-07T06:18:28.7263880Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/colorful.py
2025-09-07T06:18:28.7264960Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/lilypond.py
2025-09-07T06:18:28.7265990Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/igor.py
2025-09-07T06:18:28.7267050Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/zenburn.py
2025-09-07T06:18:28.7267980Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/bw.py
2025-09-07T06:18:28.7269020Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/emacs.py
2025-09-07T06:18:28.7270110Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/dracula.py
2025-09-07T06:18:28.7271190Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/vs.py
2025-09-07T06:18:28.7272250Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/default.py
2025-09-07T06:18:28.7273570Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/paraiso_light.py
2025-09-07T06:18:28.7274900Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/lovelace.py
2025-09-07T06:18:28.7275990Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/stata_dark.py
2025-09-07T06:18:28.7277020Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/vim.py
2025-09-07T06:18:28.7278200Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/borland.py
2025-09-07T06:18:28.7279320Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/coffee.py
2025-09-07T06:18:28.7280440Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/_mapping.py
2025-09-07T06:18:28.7281380Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/murphy.py
2025-09-07T06:18:28.7282340Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/lightbulb.py
2025-09-07T06:18:28.7283330Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/fruity.py
2025-09-07T06:18:28.7284120Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/abap.py
2025-09-07T06:18:28.7285110Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/rainbow_dash.py
2025-09-07T06:18:28.7285980Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/manni.py
2025-09-07T06:18:28.7287000Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/autumn.py
2025-09-07T06:18:28.7287900Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/rrt.py
2025-09-07T06:18:28.7288850Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/perldoc.py
2025-09-07T06:18:28.7289670Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/trac.py
2025-09-07T06:18:28.7290740Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/algol.py
2025-09-07T06:18:28.7291920Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/arduino.py
2025-09-07T06:18:28.7292920Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/nord.py
2025-09-07T06:18:28.7294000Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/styles/stata_light.py
2025-09-07T06:18:28.7295200Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/unistring.py
2025-09-07T06:18:28.7296150Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/lexer.py
2025-09-07T06:18:28.7297750Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/regexopt.py
2025-09-07T06:18:28.7298490Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/plugin.py
2025-09-07T06:18:28.7299410Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/filter.py
2025-09-07T06:18:28.7300550Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pygments/__main__.py
2025-09-07T06:18:28.7301520Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/yacc.py
2025-09-07T06:18:28.7302790Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/lex.py
2025-09-07T06:18:28.7303860Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/ctokens.py
2025-09-07T06:18:28.7305120Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__init__.py
2025-09-07T06:18:28.7306670Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__pycache__/lex.cpython-313.pyc
2025-09-07T06:18:28.7307950Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__pycache__/ygen.cpython-313.pyc
2025-09-07T06:18:28.7309470Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__pycache__/yacc.cpython-313.pyc
2025-09-07T06:18:28.7310840Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__pycache__/ctokens.cpython-313.pyc
2025-09-07T06:18:28.7312260Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:28.7313460Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/__pycache__/cpp.cpython-313.pyc
2025-09-07T06:18:28.7314610Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/cpp.py
2025-09-07T06:18:28.7315580Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/ply/ygen.py
2025-09-07T06:18:28.7316670Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/c_parser.py
2025-09-07T06:18:28.7317690Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/_ast_gen.py
2025-09-07T06:18:28.7318720Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__init__.py
2025-09-07T06:18:28.7319890Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/_c_ast.cfg
2025-09-07T06:18:28.7321430Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/c_generator.cpython-313.pyc
2025-09-07T06:18:28.7322930Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/ast_transforms.cpython-313.pyc
2025-09-07T06:18:28.7324200Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/c_lexer.cpython-313.pyc
2025-09-07T06:18:28.7325740Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/plyparser.cpython-313.pyc
2025-09-07T06:18:28.7326980Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/lextab.cpython-313.pyc
2025-09-07T06:18:28.7328370Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/c_ast.cpython-313.pyc
2025-09-07T06:18:28.7329820Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/c_parser.cpython-313.pyc
2025-09-07T06:18:28.7331070Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/yacctab.cpython-313.pyc
2025-09-07T06:18:28.7332540Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/_build_tables.cpython-313.pyc
2025-09-07T06:18:28.7333870Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/_ast_gen.cpython-313.pyc
2025-09-07T06:18:28.7335160Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/__pycache__/__init__.cpython-313.pyc
2025-09-07T06:18:28.7336700Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/c_ast.py
2025-09-07T06:18:28.7337400Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/pycparser/plyparser.py
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2025-09-07T06:18:28.8016710Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/decrepit/__init__.py
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2025-09-07T06:18:28.8019620Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/decrepit/ciphers/algorithms.py
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2025-09-07T06:18:28.8025930Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/backends/__init__.py
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2025-09-07T06:18:28.8039040Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/kdf/argon2.py
2025-09-07T06:18:28.8040360Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/kdf/__init__.py
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2025-09-07T06:18:28.8043630Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/kdf/__pycache__/hkdf.cpython-313.pyc
2025-09-07T06:18:28.8045270Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/kdf/__pycache__/kbkdf.cpython-313.pyc
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2025-09-07T06:18:28.8048720Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/kdf/__pycache__/scrypt.cpython-313.pyc
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2025-09-07T06:18:28.8056170Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/kdf/pbkdf2.py
2025-09-07T06:18:28.8057490Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/kdf/hkdf.py
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2025-09-07T06:18:28.8062980Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/_serialization.py
2025-09-07T06:18:28.8064360Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/twofactor/totp.py
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2025-09-07T06:18:28.8069440Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/twofactor/__pycache__/hotp.cpython-313.pyc
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2025-09-07T06:18:28.8072520Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/twofactor/hotp.py
2025-09-07T06:18:28.8074080Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/serialization/__init__.py
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2025-09-07T06:18:28.8079780Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/serialization/__pycache__/pkcs12.cpython-313.pyc
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2025-09-07T06:18:28.8087260Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/cmac.py
2025-09-07T06:18:28.8088450Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/_asymmetric.py
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2025-09-07T06:18:28.8096840Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/_cipheralgorithm.cpython-313.pyc
2025-09-07T06:18:28.8098420Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/hashes.cpython-313.pyc
2025-09-07T06:18:28.8100010Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/keywrap.cpython-313.pyc
2025-09-07T06:18:28.8101630Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/hmac.cpython-313.pyc
2025-09-07T06:18:28.8103190Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/cmac.cpython-313.pyc
2025-09-07T06:18:28.8104920Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/constant_time.cpython-313.pyc
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2025-09-07T06:18:28.8108120Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/__pycache__/padding.cpython-313.pyc
2025-09-07T06:18:28.8109600Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/_cipheralgorithm.py
2025-09-07T06:18:28.8110930Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/poly1305.py
2025-09-07T06:18:28.8112290Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/ciphers/algorithms.py
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2025-09-07T06:18:28.8118930Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/ciphers/__pycache__/modes.cpython-313.pyc
2025-09-07T06:18:28.8120550Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/ciphers/__pycache__/algorithms.cpython-313.pyc
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2025-09-07T06:18:28.8125210Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/ciphers/modes.py
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2025-09-07T06:18:28.8128010Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/constant_time.py
2025-09-07T06:18:28.8129370Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/x448.py
2025-09-07T06:18:28.8130750Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/ec.py
2025-09-07T06:18:28.8132020Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/rsa.py
2025-09-07T06:18:28.8133550Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/dh.py
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2025-09-07T06:18:28.8142360Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/rsa.cpython-313.pyc
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2025-09-07T06:18:28.8145740Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/ec.cpython-313.pyc
2025-09-07T06:18:28.8147510Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/utils.cpython-313.pyc
2025-09-07T06:18:28.8149150Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/dh.cpython-313.pyc
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2025-09-07T06:18:28.8156200Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/dsa.cpython-313.pyc
2025-09-07T06:18:28.8157810Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/asymmetric/__pycache__/padding.cpython-313.pyc
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2025-09-07T06:18:28.8167770Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/keywrap.py
2025-09-07T06:18:28.8169180Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/hmac.py
2025-09-07T06:18:28.8170610Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/hashes.py
2025-09-07T06:18:28.8171950Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/primitives/padding.py
2025-09-07T06:18:28.8173100Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/_oid.py
2025-09-07T06:18:28.8174590Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/_openssl.pyi
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2025-09-07T06:18:28.8178770Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/exceptions.pyi
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2025-09-07T06:18:28.8181570Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/asn1.pyi
2025-09-07T06:18:28.8183090Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/ed25519.pyi
2025-09-07T06:18:28.8184460Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/ec.pyi
2025-09-07T06:18:28.8185920Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/dsa.pyi
2025-09-07T06:18:28.8187490Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/cmac.pyi
2025-09-07T06:18:28.8188870Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/ciphers.pyi
2025-09-07T06:18:28.8190350Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/__init__.pyi
2025-09-07T06:18:28.8191780Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/hashes.pyi
2025-09-07T06:18:28.8193330Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/kdf.pyi
2025-09-07T06:18:28.8194680Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/rsa.pyi
2025-09-07T06:18:28.8196130Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/keys.pyi
2025-09-07T06:18:28.8197640Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/x448.pyi
2025-09-07T06:18:28.8199340Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/x25519.pyi
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2025-09-07T06:18:28.8202410Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/cryptography/hazmat/bindings/_rust/openssl/poly1305.pyi
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2025-09-07T06:18:28.8302780Z /opt/homebrew/Caskroom/miniconda/base/lib/python3.13/site-packages/colorama/tests/__pycache__/ansitowin32_test.cpython-313.pyc
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2025-09-07T06:18:29.3921910Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_window_read.3
2025-09-07T06:18:29.3922690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libsolv-history.3
2025-09-07T06:18:29.3923740Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_get_channel.3
2025-09-07T06:18:29.3924690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_get_exit_status.3
2025-09-07T06:18:29.3925390Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_servers.3
2025-09-07T06:18:29.3926130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_mapping.3
2025-09-07T06:18:29.3927200Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_method_pref.3
2025-09-07T06:18:29.3927900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_init.3
2025-09-07T06:18:29.3928660Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_reinit.3
2025-09-07T06:18:29.3929480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_new.3
2025-09-07T06:18:29.3930330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_init.3
2025-09-07T06:18:29.3931330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_opt_cnt.3
2025-09-07T06:18:29.3932180Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_local_ip4.3
2025-09-07T06:18:29.3933360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_handle_extended_data2.3
2025-09-07T06:18:29.3934320Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_callback_set.3
2025-09-07T06:18:29.3935250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_setenv_ex.3
2025-09-07T06:18:29.3936050Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_open.3
2025-09-07T06:18:29.3937010Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_open_ex.3
2025-09-07T06:18:29.3937690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_queue.3
2025-09-07T06:18:29.3938730Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_u16.3
2025-09-07T06:18:29.3939710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_startup.3
2025-09-07T06:18:29.3940470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_search_dnsrec.3
2025-09-07T06:18:29.3941290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_extract.3
2025-09-07T06:18:29.3942070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_destroy.3
2025-09-07T06:18:29.3942900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_util.3
2025-09-07T06:18:29.3943720Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ffi_call.3
2025-09-07T06:18:29.3944760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_get_identity.3
2025-09-07T06:18:29.3945710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_blocksize.3
2025-09-07T06:18:29.3946580Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_password.3
2025-09-07T06:18:29.3947400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_parse.3
2025-09-07T06:18:29.3948220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_seek.3
2025-09-07T06:18:29.3949130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_open_ex.3
2025-09-07T06:18:29.3949910Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_inet_pton.3
2025-09-07T06:18:29.3950910Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_subsystem.3
2025-09-07T06:18:29.3951800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rewind.3
2025-09-07T06:18:29.3952790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_last_error.3
2025-09-07T06:18:29.3953740Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_request_pty.3
2025-09-07T06:18:29.3954740Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_process.3
2025-09-07T06:18:29.3955500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_request_pty_ex.3
2025-09-07T06:18:29.3956240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_create_query.3
2025-09-07T06:18:29.3957460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_banner_set.3
2025-09-07T06:18:29.3958600Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_request_auth_agent.3
2025-09-07T06:18:29.3959680Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_destroy.3
2025-09-07T06:18:29.3960450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_svcb_param_t.3
2025-09-07T06:18:29.3961350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_servers_csv.3
2025-09-07T06:18:29.3962360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_supported_algs.3
2025-09-07T06:18:29.3963310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_shutdown.3
2025-09-07T06:18:29.3964230Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_check.3
2025-09-07T06:18:29.3965160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_free.3
2025-09-07T06:18:29.3966150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_query_add.3
2025-09-07T06:18:29.3967140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_write.3
2025-09-07T06:18:29.3968130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_stat.3
2025-09-07T06:18:29.3968890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rec_type_t.3
2025-09-07T06:18:29.3969810Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_opt_byid.3
2025-09-07T06:18:29.3970570Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_library_init.3
2025-09-07T06:18:29.3971400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_key_tostr.3
2025-09-07T06:18:29.3972170Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_free_string.3
2025-09-07T06:18:29.3973200Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_posix_rename.3
2025-09-07T06:18:29.3974130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_create.3
2025-09-07T06:18:29.3975080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_connect.3
2025-09-07T06:18:29.3976030Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_getsock.3
2025-09-07T06:18:29.3977030Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_u16.3
2025-09-07T06:18:29.3977840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_addr6.3
2025-09-07T06:18:29.3978540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_mkquery.3
2025-09-07T06:18:29.3979350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_write.3
2025-09-07T06:18:29.3980460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_handshake.3
2025-09-07T06:18:29.3981360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_del_opt_byid.3
2025-09-07T06:18:29.3982480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rec_type_fromstr.3
2025-09-07T06:18:29.3983260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_misc.3
2025-09-07T06:18:29.3984180Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_list_free.3
2025-09-07T06:18:29.3984980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libsolv-bindings.3
2025-09-07T06:18:29.3986130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_servers_ports_csv.3
2025-09-07T06:18:29.3986880Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_free.3
2025-09-07T06:18:29.3987680Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_freeaddrinfo.3
2025-09-07T06:18:29.3988800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_writeline.3
2025-09-07T06:18:29.3989570Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_mkdir.3
2025-09-07T06:18:29.3990400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_symlink.3
2025-09-07T06:18:29.3991290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libsolv-constantids.3
2025-09-07T06:18:29.3992210Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_exec.3
2025-09-07T06:18:29.3993160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_opendir.3
2025-09-07T06:18:29.3994370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_receive_window_adjust2.3
2025-09-07T06:18:29.3995220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconv_close.3
2025-09-07T06:18:29.3996060Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_filter.3
2025-09-07T06:18:29.3996930Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_destroy_options.3
2025-09-07T06:18:29.3997890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_data.3
2025-09-07T06:18:29.3998790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ffi_prep_cif_var.3
2025-09-07T06:18:29.3999900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_forward_listen.3
2025-09-07T06:18:29.4000830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_rr_get.3
2025-09-07T06:18:29.4001610Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_close.3
2025-09-07T06:18:29.4002400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_fds.3
2025-09-07T06:18:29.4003290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_gethostbyname.3
2025-09-07T06:18:29.4004390Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_flush_stderr.3
2025-09-07T06:18:29.4005300Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_last_error.3
2025-09-07T06:18:29.4006180Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_abin.3
2025-09-07T06:18:29.4007160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_init_options.3
2025-09-07T06:18:29.4007990Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_process_startup.3
2025-09-07T06:18:29.4008800Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_keys.3
2025-09-07T06:18:29.4009820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_userauth.3
2025-09-07T06:18:29.4010690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_type.3
2025-09-07T06:18:29.4011380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_timeout.3
2025-09-07T06:18:29.4012320Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_add.3
2025-09-07T06:18:29.4013170Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_getnameinfo.3
2025-09-07T06:18:29.4014020Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_trace.3
2025-09-07T06:18:29.4014920Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_get_timeout.3
2025-09-07T06:18:29.4015720Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_local_dev.3
2025-09-07T06:18:29.4016490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_disk.3
2025-09-07T06:18:29.4017650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_banner_set.3
2025-09-07T06:18:29.4018480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read.3
2025-09-07T06:18:29.4019330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_unlink_ex.3
2025-09-07T06:18:29.4020200Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconv_open_into.3
2025-09-07T06:18:29.4021000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_close.3
2025-09-07T06:18:29.4021770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_section_t.3
2025-09-07T06:18:29.4022640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_gethostbyname_file.3
2025-09-07T06:18:29.4023600Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_process_pending_write.3
2025-09-07T06:18:29.4024520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_close_handle.3
2025-09-07T06:18:29.4025430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_send_ex.3
2025-09-07T06:18:29.4026430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_get_servers_csv.3
2025-09-07T06:18:29.4027400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_write_ex.3
2025-09-07T06:18:29.4028290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_opt_get_datatype.3
2025-09-07T06:18:29.4029360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_shell.3
2025-09-07T06:18:29.4030240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_init.3
2025-09-07T06:18:29.4031290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_list.3
2025-09-07T06:18:29.4032150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_opcode_t.3
2025-09-07T06:18:29.4033190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_signal_ex.3
2025-09-07T06:18:29.4034220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_read_stderr.3
2025-09-07T06:18:29.4035220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_set_id.3
2025-09-07T06:18:29.4036360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_get_servers_ports.3
2025-09-07T06:18:29.4037290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_window_read_ex.3
2025-09-07T06:18:29.4038010Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_opt_get_name.3
2025-09-07T06:18:29.4038650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_free.3
2025-09-07T06:18:29.4039290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr.3
2025-09-07T06:18:29.4040070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_soa_reply.3
2025-09-07T06:18:29.4040840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_naptr_reply.3
2025-09-07T06:18:29.4041520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_stat.3
2025-09-07T06:18:29.4042350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_key_to_rec_type.3
2025-09-07T06:18:29.4043100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_addc.3
2025-09-07T06:18:29.4043820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_a_reply.3
2025-09-07T06:18:29.4044670Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_open_session.3
2025-09-07T06:18:29.4045560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_socket_configure_callback.3
2025-09-07T06:18:29.4046220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_open.3
2025-09-07T06:18:29.4047040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_readline.3
2025-09-07T06:18:29.4047920Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_set_identity_path.3
2025-09-07T06:18:29.4048570Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_opt_param_t.3
2025-09-07T06:18:29.4049370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_banner_get.3
2025-09-07T06:18:29.4050110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_get_id.3
2025-09-07T06:18:29.4050890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_checkp.3
2025-09-07T06:18:29.4051840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_ignore_extended_data.3
2025-09-07T06:18:29.4052480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_write.3
2025-09-07T06:18:29.4053350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_forward_cancel.3
2025-09-07T06:18:29.4054050Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rcode_tostr.3
2025-09-07T06:18:29.4054780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_format.3
2025-09-07T06:18:29.4055580Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_add_ex.3
2025-09-07T06:18:29.4056340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_keepalive_config.3
2025-09-07T06:18:29.4057030Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rmdir.3
2025-09-07T06:18:29.4057850Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_disconnect.3
2025-09-07T06:18:29.4058580Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_symlink_ex.3
2025-09-07T06:18:29.4059370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_pending_write_cb.3
2025-09-07T06:18:29.4060070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_ttl.3
2025-09-07T06:18:29.4060620Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ev.3
2025-09-07T06:18:29.4061390Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_paths.3
2025-09-07T06:18:29.4062040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ffi_prep_cif.3
2025-09-07T06:18:29.4062790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_version.3
2025-09-07T06:18:29.4063520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_name.3
2025-09-07T06:18:29.4064040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ffi.3
2025-09-07T06:18:29.4064850Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_unlink.3
2025-09-07T06:18:29.4065510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_key_t.3
2025-09-07T06:18:29.4066220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_send.3
2025-09-07T06:18:29.4067010Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_library_init_android.3
2025-09-07T06:18:29.4067640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_strerror.3
2025-09-07T06:18:29.4068470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey.3
2025-09-07T06:18:29.4069190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_filter.3
2025-09-07T06:18:29.4069890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_open.3
2025-09-07T06:18:29.4070650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rmdir_ex.3
2025-09-07T06:18:29.4071390Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_base64_decode.3
2025-09-07T06:18:29.4072050Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sign_sk.3
2025-09-07T06:18:29.4072790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_lstat.3
2025-09-07T06:18:29.4073380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libsolv.3
2025-09-07T06:18:29.4074160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_class_fromstr.3
2025-09-07T06:18:29.4074980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_socket_functions_ex.3
2025-09-07T06:18:29.4075560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_send.3
2025-09-07T06:18:29.4076360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_init.3
2025-09-07T06:18:29.4077070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_read.3
2025-09-07T06:18:29.4077880Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_password_ex.3
2025-09-07T06:18:29.4078680Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_get_opcode.3
2025-09-07T06:18:29.4079280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconv_open.3
2025-09-07T06:18:29.4080140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_sk.3
2025-09-07T06:18:29.4080820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_data.3
2025-09-07T06:18:29.4081570Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_aaaa_reply.3
2025-09-07T06:18:29.4082450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_request_pty_size.3
2025-09-07T06:18:29.4083250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_write_stderr.3
2025-09-07T06:18:29.4083960Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_crypto_engine.3
2025-09-07T06:18:29.4084690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_add.3
2025-09-07T06:18:29.4085570Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_get_exit_signal.3
2025-09-07T06:18:29.4086250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record.3
2025-09-07T06:18:29.4087040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_time.3
2025-09-07T06:18:29.4088140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_socket_callback.3
2025-09-07T06:18:29.4088880Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_flags_t.3
2025-09-07T06:18:29.4089880Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_ns_reply.3
2025-09-07T06:18:29.4090840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_rr_cnt.3
2025-09-07T06:18:29.4091780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_add_abin.3
2025-09-07T06:18:29.4092650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_getaddrinfo.3
2025-09-07T06:18:29.4093840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_read_timeout.3
2025-09-07T06:18:29.4094760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_caa_reply.3
2025-09-07T06:18:29.4095860Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_get_read_timeout.3
2025-09-07T06:18:29.4096760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_addr6.3
2025-09-07T06:18:29.4097600Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_free.3
2025-09-07T06:18:29.4099160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_forward_listen_ex.3
2025-09-07T06:18:29.4099830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fstatvfs.3
2025-09-07T06:18:29.4100750Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_linkify.3
2025-09-07T06:18:29.4102120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_setenv.3
2025-09-07T06:18:29.4102980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_tell.3
2025-09-07T06:18:29.4103940Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_hostbased_fromfile.3
2025-09-07T06:18:29.4104850Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry.3
2025-09-07T06:18:29.4106130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_poll_channel_read.3
2025-09-07T06:18:29.4110480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_hostbased_fromfile_ex.3
2025-09-07T06:18:29.4110790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_frommemory.3
2025-09-07T06:18:29.4110980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_trace_sethandler.3
2025-09-07T06:18:29.4111120Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write.3
2025-09-07T06:18:29.4111290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_remove_ex.3
2025-09-07T06:18:29.4112070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_free.3
2025-09-07T06:18:29.4113260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_realpath.3
2025-09-07T06:18:29.4114250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rec_type_tostr.3
2025-09-07T06:18:29.4115160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_init.3
2025-09-07T06:18:29.4116040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_rr_add.3
2025-09-07T06:18:29.4117000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_abin_cnt.3
2025-09-07T06:18:29.4118380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_list_fetch.3
2025-09-07T06:18:29.4119530Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_x11_req.3
2025-09-07T06:18:29.4120720Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_publickey_remove.3
2025-09-07T06:18:29.4121910Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_add_passphrase.3
2025-09-07T06:18:29.4122920Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_methods.3
2025-09-07T06:18:29.4123910Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_seek64.3
2025-09-07T06:18:29.4125150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_query_set_type.3
2025-09-07T06:18:29.4126300Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_opt.3
2025-09-07T06:18:29.4127450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_posix_rename_ex.3
2025-09-07T06:18:29.4128780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_block_directions.3
2025-09-07T06:18:29.4129530Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_eof.3
2025-09-07T06:18:29.4130650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_process_fd.3
2025-09-07T06:18:29.4131690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_flag.3
2025-09-07T06:18:29.4132660Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_exit.3
2025-09-07T06:18:29.4133760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_sortlist.3
2025-09-07T06:18:29.4134550Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_poll.3
2025-09-07T06:18:29.4135640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_free.3
2025-09-07T06:18:29.4137040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_receive_window_adjust.3
2025-09-07T06:18:29.4138060Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_free_hostent.3
2025-09-07T06:18:29.4138930Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_u8.3
2025-09-07T06:18:29.4140010Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_init_ex.3
2025-09-07T06:18:29.4141280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_window_write_ex.3
2025-09-07T06:18:29.4142180Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_tlsa_selector_t.3
2025-09-07T06:18:29.4143290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_timeout.3
2025-09-07T06:18:29.4144520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_blocking.3
2025-09-07T06:18:29.4145380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_u8.3
2025-09-07T06:18:29.4146630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_query_get.3
2025-09-07T06:18:29.4147370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_local_ip6.3
2025-09-07T06:18:29.4148640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_window_write.3
2025-09-07T06:18:29.4149350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libsolv-pool.3
2025-09-07T06:18:29.4150500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_direct_tcpip.3
2025-09-07T06:18:29.4151650Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_get_flags.3
2025-09-07T06:18:29.4152430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/iconvctl.3
2025-09-07T06:18:29.4153310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_opt.3
2025-09-07T06:18:29.4154430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_writefile.3
2025-09-07T06:18:29.4155320Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/readline.3
2025-09-07T06:18:29.4156510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_disconnect_ex.3
2025-09-07T06:18:29.4157600Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_txt_reply.3
2025-09-07T06:18:29.4158450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_send_dnsrec.3
2025-09-07T06:18:29.4159760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_disconnect.3
2025-09-07T06:18:29.4160770Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_class.3
2025-09-07T06:18:29.4161860Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_x11_req_ex.3
2025-09-07T06:18:29.4163040Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_fromfile.3
2025-09-07T06:18:29.4164130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_readlink.3
2025-09-07T06:18:29.4165000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_header.3
2025-09-07T06:18:29.4166080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rename_ex.3
2025-09-07T06:18:29.4167080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_keepalive_send.3
2025-09-07T06:18:29.4168070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_opt_datatype_t.3
2025-09-07T06:18:29.4169220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_acl.3
2025-09-07T06:18:29.4170130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_hostkey_hash.3
2025-09-07T06:18:29.4171100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_search.3
2025-09-07T06:18:29.4172140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fstat.3
2025-09-07T06:18:29.4173110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_abstract.3
2025-09-07T06:18:29.4174340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_query_set_name.3
2025-09-07T06:18:29.4175440Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_rr_get_const.3
2025-09-07T06:18:29.4176370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_datatype_t.3
2025-09-07T06:18:29.4177540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_mx_reply.3
2025-09-07T06:18:29.4178370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_section_tostr.3
2025-09-07T06:18:29.4179460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_opcode_tostr.3
2025-09-07T06:18:29.4180620Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_recv2.3
2025-09-07T06:18:29.4181840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_open_ex_r.3
2025-09-07T06:18:29.4182990Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_keyboard_interactive.3
2025-09-07T06:18:29.4184220Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fsetstat.3
2025-09-07T06:18:29.4185200Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_shutdown.3
2025-09-07T06:18:29.4186460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_wait_eof.3
2025-09-07T06:18:29.4187230Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_version.3
2025-09-07T06:18:29.4188200Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_srv_reply.3
2025-09-07T06:18:29.4189130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_gethostbyaddr.3
2025-09-07T06:18:29.4190310Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_direct_tcpip_ex.3
2025-09-07T06:18:29.4191300Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_class_t.3
2025-09-07T06:18:29.4192470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_socket_functions.3
2025-09-07T06:18:29.4193360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_stat_ex.3
2025-09-07T06:18:29.4194490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_key_datatype.3
2025-09-07T06:18:29.4195620Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_get_identity_path.3
2025-09-07T06:18:29.4196460Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_process_fds.3
2025-09-07T06:18:29.4197420Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dup.3
2025-09-07T06:18:29.4198530Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_set_blocking.3
2025-09-07T06:18:29.4199530Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fstat_ex.3
2025-09-07T06:18:29.4200430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_recv.3
2025-09-07T06:18:29.4201390Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_new.3
2025-09-07T06:18:29.4202450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_get.3
2025-09-07T06:18:29.4203680Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_bin.3
2025-09-07T06:18:29.4204790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_free.3
2025-09-07T06:18:29.4205940Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_sign.3
2025-09-07T06:18:29.4206730Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_servers_ports.3
2025-09-07T06:18:29.4208140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_readfile.3
2025-09-07T06:18:29.4209050Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_library_cleanup.3
2025-09-07T06:18:29.4210380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_addr.3
2025-09-07T06:18:29.4211370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libarchive_changes.3
2025-09-07T06:18:29.4212340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_banner.3
2025-09-07T06:18:29.4213250Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_setstat.3
2025-09-07T06:18:29.4214440Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_get_rcode.3
2025-09-07T06:18:29.4215260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_tell64.3
2025-09-07T06:18:29.4216210Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_threadsafety.3
2025-09-07T06:18:29.4217370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_authenticated.3
2025-09-07T06:18:29.4218280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_scp_send64.3
2025-09-07T06:18:29.4219210Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libarchive.3
2025-09-07T06:18:29.4220110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_str.3
2025-09-07T06:18:29.4221260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libarchive_internals.3
2025-09-07T06:18:29.4222200Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_queue_wait_empty.3
2025-09-07T06:18:29.4223170Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_set_options.3
2025-09-07T06:18:29.4224010Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_free_data.3
2025-09-07T06:18:29.4224990Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_tlsa_usage_t.3
2025-09-07T06:18:29.4225980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_library_initialized.3
2025-09-07T06:18:29.4226940Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_init.3
2025-09-07T06:18:29.4227900Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_u32.3
2025-09-07T06:18:29.4228880Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_query_dnsrec.3
2025-09-07T06:18:29.4229920Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_set_last_error.3
2025-09-07T06:18:29.4231110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_query_cnt.3
2025-09-07T06:18:29.4232240Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_list_identities.3
2025-09-07T06:18:29.4233190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_uri_reply.3
2025-09-07T06:18:29.4233990Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_get_servers.3
2025-09-07T06:18:29.4235000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_rename.3
2025-09-07T06:18:29.4235750Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_query.3
2025-09-07T06:18:29.4236570Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_finish_entry.3
2025-09-07T06:18:29.4237410Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_closedir.3
2025-09-07T06:18:29.4238020Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_fsync.3
2025-09-07T06:18:29.4238780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_open_r.3
2025-09-07T06:18:29.4239630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_tlsa_match_t.3
2025-09-07T06:18:29.4240270Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_read_set_options.3
2025-09-07T06:18:29.4241170Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_handle_extended_data.3
2025-09-07T06:18:29.4242080Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_get_blocking.3
2025-09-07T06:18:29.4242690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_parse_ptr_reply.3
2025-09-07T06:18:29.4243590Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_request_pty_size_ex.3
2025-09-07T06:18:29.4244290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_readdir_ex.3
2025-09-07T06:18:29.4245000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_u32.3
2025-09-07T06:18:29.4245790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_last_errno.3
2025-09-07T06:18:29.4246560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_queue_active_queries.3
2025-09-07T06:18:29.4247280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_addr.3
2025-09-07T06:18:29.4248030Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_read_ex.3
2025-09-07T06:18:29.4248710Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_save_options.3
2025-09-07T06:18:29.4249520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_hostkey.3
2025-09-07T06:18:29.4250230Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_inet_ntop.3
2025-09-07T06:18:29.4250970Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_read.3
2025-09-07T06:18:29.4251720Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_send_eof.3
2025-09-07T06:18:29.4252560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_forward_accept.3
2025-09-07T06:18:29.4253470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_direct_streamlocal_ex.3
2025-09-07T06:18:29.4254140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_readdir.3
2025-09-07T06:18:29.4254860Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_get_bin.3
2025-09-07T06:18:29.4255490Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_cancel.3
2025-09-07T06:18:29.4256380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_set_server_state_callback.3
2025-09-07T06:18:29.4257130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_record_duplicate.3
2025-09-07T06:18:29.4258070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_keyboard_interactive_ex.3
2025-09-07T06:18:29.4258740Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_write_header.3
2025-09-07T06:18:29.4259410Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rcode_t.3
2025-09-07T06:18:29.4260150Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_class_tostr.3
2025-09-07T06:18:29.4260880Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_set_str.3
2025-09-07T06:18:29.4261610Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_knownhost_del.3
2025-09-07T06:18:29.4262400Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_flush_ex.3
2025-09-07T06:18:29.4263360Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_userauth_publickey_fromfile_ex.3
2025-09-07T06:18:29.4263990Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_expand_name.3
2025-09-07T06:18:29.4264730Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/ares_dns_rr_del_abin.3
2025-09-07T06:18:29.4265450Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/archive_entry_perms.3
2025-09-07T06:18:29.4266580Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_session_callback_set2.3
2025-09-07T06:18:29.4267560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_wait_closed.3
2025-09-07T06:18:29.4268470Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_channel_flush.3
2025-09-07T06:18:29.4269510Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_sftp_mkdir_ex.3
2025-09-07T06:18:29.4270480Z /opt/homebrew/Caskroom/miniconda/base/share/man/man3/libssh2_agent_init.3
2025-09-07T06:18:29.4271260Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/gensprep.8
2025-09-07T06:18:29.4272090Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/genccode.8
2025-09-07T06:18:29.4272890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/icupkg.8
2025-09-07T06:18:29.4273640Z /opt/homebrew/Caskroom/miniconda/base/share/man/man8/gencmn.8
2025-09-07T06:18:29.4274380Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lz4cat.1
2025-09-07T06:18:29.4275130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzma.1
2025-09-07T06:18:29.4276060Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/icuexportdata.1
2025-09-07T06:18:29.4276830Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xmlwf.1
2025-09-07T06:18:29.4277760Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/installcheck.1
2025-09-07T06:18:29.4278550Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unzstd.1
2025-09-07T06:18:29.4279370Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzmore.1
2025-09-07T06:18:29.4280190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzmore.1
2025-09-07T06:18:29.4280990Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzmainfo.1
2025-09-07T06:18:29.4281840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/mergesolv.1
2025-09-07T06:18:29.4282630Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/python3.13.1
2025-09-07T06:18:29.4283530Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstdcat.1
2025-09-07T06:18:29.4284340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzcat.1
2025-09-07T06:18:29.4285290Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdtar.1
2025-09-07T06:18:29.4286000Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unlz4.1
2025-09-07T06:18:29.4286750Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lz4.1
2025-09-07T06:18:29.4287620Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/icu-config.1
2025-09-07T06:18:29.4288420Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/adig.1
2025-09-07T06:18:29.4289300Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzcmp.1
2025-09-07T06:18:29.4290190Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/python3.1
2025-09-07T06:18:29.4290960Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/pkgdata.1
2025-09-07T06:18:29.4291790Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzdiff.1
2025-09-07T06:18:29.4292550Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/gendict.1
2025-09-07T06:18:29.4293330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzdiff.1
2025-09-07T06:18:29.4294140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xz.1
2025-09-07T06:18:29.4294850Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/ahost.1
2025-09-07T06:18:29.4295680Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/genrb.1
2025-09-07T06:18:29.4296500Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzdec.1
2025-09-07T06:18:29.4297320Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/repo2solv.1
2025-09-07T06:18:29.4298130Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzegrep.1
2025-09-07T06:18:29.4298980Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/iconv.1
2025-09-07T06:18:29.4299870Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/solv.1
2025-09-07T06:18:29.4300690Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/sqlite3.1
2025-09-07T06:18:29.4301430Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzgrep.1
2025-09-07T06:18:29.4302280Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzgrep.1
2025-09-07T06:18:29.4303070Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzegrep.1
2025-09-07T06:18:29.4303870Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstdless.1
2025-09-07T06:18:29.4304750Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/dumpsolv.1
2025-09-07T06:18:29.4305540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzless.1
2025-09-07T06:18:29.4306340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unlzma.1
2025-09-07T06:18:29.4307100Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdunzip.1
2025-09-07T06:18:29.4307920Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdcpio.1
2025-09-07T06:18:29.4308740Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/genbrk.1
2025-09-07T06:18:29.4309520Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzless.1
2025-09-07T06:18:29.4310330Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzfgrep.1
2025-09-07T06:18:29.4311110Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/testsolv.1
2025-09-07T06:18:29.4311950Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstd.1
2025-09-07T06:18:29.4312780Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/zstdgrep.1
2025-09-07T06:18:29.4313540Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/bsdcat.1
2025-09-07T06:18:29.4314350Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lz4c.1
2025-09-07T06:18:29.4315140Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzcmp.1
2025-09-07T06:18:29.4315890Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/unxz.1
2025-09-07T06:18:29.4316820Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/xzfgrep.1
2025-09-07T06:18:29.4317680Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/gencnval.1
2025-09-07T06:18:29.4318560Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/makeconv.1
2025-09-07T06:18:29.4319340Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzmadec.1
2025-09-07T06:18:29.4320160Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/lzcat.1
2025-09-07T06:18:29.4320990Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/gencfu.1
2025-09-07T06:18:29.4321840Z /opt/homebrew/Caskroom/miniconda/base/share/man/man1/derb.1
2025-09-07T06:18:29.4322640Z /opt/homebrew/Caskroom/miniconda/base/share/aclocal/libxml.m4
2025-09-07T06:18:29.4323550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Mauritius
2025-09-07T06:18:29.4324440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Chagos
2025-09-07T06:18:29.4325580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Mayotte
2025-09-07T06:18:29.4326450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Christmas
2025-09-07T06:18:29.4327270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Cocos
2025-09-07T06:18:29.4328160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Maldives
2025-09-07T06:18:29.4329040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Comoro
2025-09-07T06:18:29.4329920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Reunion
2025-09-07T06:18:29.4330760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Mahe
2025-09-07T06:18:29.4331650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Kerguelen
2025-09-07T06:18:29.4332530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Indian/Antananarivo
2025-09-07T06:18:29.4333440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Faroe
2025-09-07T06:18:29.4334130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Canary
2025-09-07T06:18:29.4335050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Stanley
2025-09-07T06:18:29.4335930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Bermuda
2025-09-07T06:18:29.4336890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/South_Georgia
2025-09-07T06:18:29.4337790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/St_Helena
2025-09-07T06:18:29.4338630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Jan_Mayen
2025-09-07T06:18:29.4339490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Faeroe
2025-09-07T06:18:29.4340270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Reykjavik
2025-09-07T06:18:29.4341250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Cape_Verde
2025-09-07T06:18:29.4342010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Azores
2025-09-07T06:18:29.4342850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Atlantic/Madeira
2025-09-07T06:18:29.4343580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/CST6CDT
2025-09-07T06:18:29.4344310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Poland
2025-09-07T06:18:29.4345090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Alaska
2025-09-07T06:18:29.4345920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Pacific
2025-09-07T06:18:29.4346750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Eastern
2025-09-07T06:18:29.4347500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Michigan
2025-09-07T06:18:29.4348280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Arizona
2025-09-07T06:18:29.4349160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Indiana-Starke
2025-09-07T06:18:29.4350010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Aleutian
2025-09-07T06:18:29.4350800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Hawaii
2025-09-07T06:18:29.4351610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/East-Indiana
2025-09-07T06:18:29.4352370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Central
2025-09-07T06:18:29.4353170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Mountain
2025-09-07T06:18:29.4353990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/US/Samoa
2025-09-07T06:18:29.4354880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Kwajalein
2025-09-07T06:18:29.4355460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/leapseconds
2025-09-07T06:18:29.4356350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/DeNoronha
2025-09-07T06:18:29.4357390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/Acre
2025-09-07T06:18:29.4358010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/East
2025-09-07T06:18:29.4358830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Brazil/West
2025-09-07T06:18:29.4359790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Port_Moresby
2025-09-07T06:18:29.4360600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Chuuk
2025-09-07T06:18:29.4361570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Easter
2025-09-07T06:18:29.4362640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kwajalein
2025-09-07T06:18:29.4363260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Tongatapu
2025-09-07T06:18:29.4364020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Yap
2025-09-07T06:18:29.4364930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Wallis
2025-09-07T06:18:29.4365830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Apia
2025-09-07T06:18:29.4366700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Norfolk
2025-09-07T06:18:29.4367530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Efate
2025-09-07T06:18:29.4368250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Fiji
2025-09-07T06:18:29.4369140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Funafuti
2025-09-07T06:18:29.4369950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Palau
2025-09-07T06:18:29.4370850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Guam
2025-09-07T06:18:29.4371690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Saipan
2025-09-07T06:18:29.4372380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kosrae
2025-09-07T06:18:29.4373260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Niue
2025-09-07T06:18:29.4374150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Ponape
2025-09-07T06:18:29.4375040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Wake
2025-09-07T06:18:29.4375900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Galapagos
2025-09-07T06:18:29.4376780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Johnston
2025-09-07T06:18:29.4377670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Midway
2025-09-07T06:18:29.4378480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Nauru
2025-09-07T06:18:29.4379380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Guadalcanal
2025-09-07T06:18:29.4380180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Chatham
2025-09-07T06:18:29.4381020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Auckland
2025-09-07T06:18:29.4381870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Noumea
2025-09-07T06:18:29.4382730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Fakaofo
2025-09-07T06:18:29.4383460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Tahiti
2025-09-07T06:18:29.4384210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Gambier
2025-09-07T06:18:29.4385250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Majuro
2025-09-07T06:18:29.4386050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Honolulu
2025-09-07T06:18:29.4386930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Pohnpei
2025-09-07T06:18:29.4387680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Pago_Pago
2025-09-07T06:18:29.4388420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Truk
2025-09-07T06:18:29.4389310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Pitcairn
2025-09-07T06:18:29.4390310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Marquesas
2025-09-07T06:18:29.4391150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kanton
2025-09-07T06:18:29.4392050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Bougainville
2025-09-07T06:18:29.4392760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Tarawa
2025-09-07T06:18:29.4393690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Rarotonga
2025-09-07T06:18:29.4394520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Samoa
2025-09-07T06:18:29.4395370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Kiritimati
2025-09-07T06:18:29.4396180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Pacific/Enderbury
2025-09-07T06:18:29.4396950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/zone1970.tab
2025-09-07T06:18:29.4397600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/MST
2025-09-07T06:18:29.4398280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/NZ
2025-09-07T06:18:29.4399270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Arctic/Longyearbyen
2025-09-07T06:18:29.4400000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Universal
2025-09-07T06:18:29.4400670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Libya
2025-09-07T06:18:29.4401480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Turkey
2025-09-07T06:18:29.4402290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/iso3166.tab
2025-09-07T06:18:29.4403080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/EST5EDT
2025-09-07T06:18:29.4403900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Greenwich
2025-09-07T06:18:29.4404770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Puerto_Rico
2025-09-07T06:18:29.4405650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Recife
2025-09-07T06:18:29.4406520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Resolute
2025-09-07T06:18:29.4407370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Manaus
2025-09-07T06:18:29.4408140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/New_York
2025-09-07T06:18:29.4409210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rankin_Inlet
2025-09-07T06:18:29.4409960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Lima
2025-09-07T06:18:29.4410970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Barthelemy
2025-09-07T06:18:29.4411890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santo_Domingo
2025-09-07T06:18:29.4412730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Detroit
2025-09-07T06:18:29.4413660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Paramaribo
2025-09-07T06:18:29.4414540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Yakutat
2025-09-07T06:18:29.4415440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santarem
2025-09-07T06:18:29.4416400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Punta_Arenas
2025-09-07T06:18:29.4417250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Scoresbysund
2025-09-07T06:18:29.4418150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santiago
2025-09-07T06:18:29.4419060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guyana
2025-09-07T06:18:29.4420010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Coral_Harbour
2025-09-07T06:18:29.4420900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rio_Branco
2025-09-07T06:18:29.4421840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Porto_Acre
2025-09-07T06:18:29.4422840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Ciudad_Juarez
2025-09-07T06:18:29.4423730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nipigon
2025-09-07T06:18:29.4424480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Edmonton
2025-09-07T06:18:29.4425520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Port_of_Spain
2025-09-07T06:18:29.4426410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Lower_Princes
2025-09-07T06:18:29.4427300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Thomas
2025-09-07T06:18:29.4428110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guatemala
2025-09-07T06:18:29.4428970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Catamarca
2025-09-07T06:18:29.4430100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Antigua
2025-09-07T06:18:29.4430670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Porto_Velho
2025-09-07T06:18:29.4431570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rosario
2025-09-07T06:18:29.4432280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Chicago
2025-09-07T06:18:29.4433170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Creston
2025-09-07T06:18:29.4433840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Managua
2025-09-07T06:18:29.4434460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nassau
2025-09-07T06:18:29.4435120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Bogota
2025-09-07T06:18:29.4435780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cancun
2025-09-07T06:18:29.4436460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Chihuahua
2025-09-07T06:18:29.4437180Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Campo_Grande
2025-09-07T06:18:29.4437820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Halifax
2025-09-07T06:18:29.4438460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Boise
2025-09-07T06:18:29.4439130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Montreal
2025-09-07T06:18:29.4439800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Goose_Bay
2025-09-07T06:18:29.4440510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Sao_Paulo
2025-09-07T06:18:29.4441430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Blanc-Sablon
2025-09-07T06:18:29.4441990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Phoenix
2025-09-07T06:18:29.4442680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Atikokan
2025-09-07T06:18:29.4443330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cayenne
2025-09-07T06:18:29.4443950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nuuk
2025-09-07T06:18:29.4444860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Santa_Isabel
2025-09-07T06:18:29.4445480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Boa_Vista
2025-09-07T06:18:29.4446460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Bahia_Banderas
2025-09-07T06:18:29.4446970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Vevay
2025-09-07T06:18:29.4447780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Indianapolis
2025-09-07T06:18:29.4448580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Winamac
2025-09-07T06:18:29.4449370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Tell_City
2025-09-07T06:18:29.4450040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Petersburg
2025-09-07T06:18:29.4450780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Vincennes
2025-09-07T06:18:29.4451510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Knox
2025-09-07T06:18:29.4452260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indiana/Marengo
2025-09-07T06:18:29.4452910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Indianapolis
2025-09-07T06:18:29.4453910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Dominica
2025-09-07T06:18:29.4454330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Salta
2025-09-07T06:18:29.4455240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Ushuaia
2025-09-07T06:18:29.4455990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Catamarca
2025-09-07T06:18:29.4456960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/ComodRivadavia
2025-09-07T06:18:29.4457510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/San_Juan
2025-09-07T06:18:29.4458280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/San_Luis
2025-09-07T06:18:29.4459090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Rio_Gallegos
2025-09-07T06:18:29.4459800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Jujuy
2025-09-07T06:18:29.4460550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Tucuman
2025-09-07T06:18:29.4461350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Buenos_Aires
2025-09-07T06:18:29.4462070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Cordoba
2025-09-07T06:18:29.4462870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/La_Rioja
2025-09-07T06:18:29.4463620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Argentina/Mendoza
2025-09-07T06:18:29.4464240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/La_Paz
2025-09-07T06:18:29.4464890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Dawson
2025-09-07T06:18:29.4465550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Moncton
2025-09-07T06:18:29.4467190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Matamoros
2025-09-07T06:18:29.4467350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Vincent
2025-09-07T06:18:29.4468110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Regina
2025-09-07T06:18:29.4468830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Yellowknife
2025-09-07T06:18:29.4469830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Rainy_River
2025-09-07T06:18:29.4470670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Kralendijk
2025-09-07T06:18:29.4471730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Monterrey
2025-09-07T06:18:29.4472590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Jamaica
2025-09-07T06:18:29.4473460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Havana
2025-09-07T06:18:29.4474400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Tegucigalpa
2025-09-07T06:18:29.4475410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guayaquil
2025-09-07T06:18:29.4476410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Metlakatla
2025-09-07T06:18:29.4477280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Mazatlan
2025-09-07T06:18:29.4478190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Belize
2025-09-07T06:18:29.4478990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Knox_IN
2025-09-07T06:18:29.4479820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cuiaba
2025-09-07T06:18:29.4480890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Merida
2025-09-07T06:18:29.4481820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Jujuy
2025-09-07T06:18:29.4482830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cayman
2025-09-07T06:18:29.4483580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Belem
2025-09-07T06:18:29.4484530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Eirunepe
2025-09-07T06:18:29.4485430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Lucia
2025-09-07T06:18:29.4486370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Bahia
2025-09-07T06:18:29.4487350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Whitehorse
2025-09-07T06:18:29.4488280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Tortola
2025-09-07T06:18:29.4489230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Vancouver
2025-09-07T06:18:29.4490220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Inuvik
2025-09-07T06:18:29.4491280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Port-au-Prince
2025-09-07T06:18:29.4492080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Fortaleza
2025-09-07T06:18:29.4492920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Noronha
2025-09-07T06:18:29.4494000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Buenos_Aires
2025-09-07T06:18:29.4494980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Los_Angeles
2025-09-07T06:18:29.4496120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/El_Salvador
2025-09-07T06:18:29.4497090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Denver
2025-09-07T06:18:29.4498060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Fort_Wayne
2025-09-07T06:18:29.4499080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Kentucky/Louisville
2025-09-07T06:18:29.4500110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Kentucky/Monticello
2025-09-07T06:18:29.4501190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/North_Dakota/New_Salem
2025-09-07T06:18:29.4502230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/North_Dakota/Center
2025-09-07T06:18:29.4503240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/North_Dakota/Beulah
2025-09-07T06:18:29.4504150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Glace_Bay
2025-09-07T06:18:29.4505050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Montserrat
2025-09-07T06:18:29.4505840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Toronto
2025-09-07T06:18:29.4506610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Panama
2025-09-07T06:18:29.4507500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cordoba
2025-09-07T06:18:29.4508450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Louisville
2025-09-07T06:18:29.4509470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Ensenada
2025-09-07T06:18:29.4510450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Shiprock
2025-09-07T06:18:29.4511580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Ojinaga
2025-09-07T06:18:29.4512510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Thule
2025-09-07T06:18:29.4513460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Caracas
2025-09-07T06:18:29.4514390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Araguaina
2025-09-07T06:18:29.4515240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Cambridge_Bay
2025-09-07T06:18:29.4516110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Winnipeg
2025-09-07T06:18:29.4516950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Grand_Turk
2025-09-07T06:18:29.4517790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Virgin
2025-09-07T06:18:29.4518710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Anchorage
2025-09-07T06:18:29.4519590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Costa_Rica
2025-09-07T06:18:29.4520460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Nome
2025-09-07T06:18:29.4521440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Grenada
2025-09-07T06:18:29.4522420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Johns
2025-09-07T06:18:29.4523170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Atka
2025-09-07T06:18:29.4524020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Asuncion
2025-09-07T06:18:29.4524990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Hermosillo
2025-09-07T06:18:29.4525930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Tijuana
2025-09-07T06:18:29.4526880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Marigot
2025-09-07T06:18:29.4527640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Juneau
2025-09-07T06:18:29.4528860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Montevideo
2025-09-07T06:18:29.4529380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Godthab
2025-09-07T06:18:29.4530260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Guadeloupe
2025-09-07T06:18:29.4531000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Maceio
2025-09-07T06:18:29.4531890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Pangnirtung
2025-09-07T06:18:29.4532770Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/St_Kitts
2025-09-07T06:18:29.4533670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Barbados
2025-09-07T06:18:29.4534430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Iqaluit
2025-09-07T06:18:29.4535390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Menominee
2025-09-07T06:18:29.4536390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Martinique
2025-09-07T06:18:29.4537260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Mexico_City
2025-09-07T06:18:29.4538370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Swift_Current
2025-09-07T06:18:29.4539190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Miquelon
2025-09-07T06:18:29.4540000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Curacao
2025-09-07T06:18:29.4540950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Dawson_Creek
2025-09-07T06:18:29.4541840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Mendoza
2025-09-07T06:18:29.4542630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Adak
2025-09-07T06:18:29.4543600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Coyhaique
2025-09-07T06:18:29.4544550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Thunder_Bay
2025-09-07T06:18:29.4545320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Aruba
2025-09-07T06:18:29.4546360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Fort_Nelson
2025-09-07T06:18:29.4547040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Sitka
2025-09-07T06:18:29.4547980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Anguilla
2025-09-07T06:18:29.4548980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/America/Danmarkshavn
2025-09-07T06:18:29.4549970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Melbourne
2025-09-07T06:18:29.4550900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Queensland
2025-09-07T06:18:29.4551660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/North
2025-09-07T06:18:29.4552570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Lord_Howe
2025-09-07T06:18:29.4553510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Adelaide
2025-09-07T06:18:29.4554540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Yancowinna
2025-09-07T06:18:29.4555440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Victoria
2025-09-07T06:18:29.4556390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Canberra
2025-09-07T06:18:29.4557230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Sydney
2025-09-07T06:18:29.4558090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/ACT
2025-09-07T06:18:29.4558960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Eucla
2025-09-07T06:18:29.4559950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Brisbane
2025-09-07T06:18:29.4560900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Tasmania
2025-09-07T06:18:29.4561710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Hobart
2025-09-07T06:18:29.4562750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Perth
2025-09-07T06:18:29.4563510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/South
2025-09-07T06:18:29.4564470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Lindeman
2025-09-07T06:18:29.4565350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Darwin
2025-09-07T06:18:29.4566220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/West
2025-09-07T06:18:29.4567130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/LHI
2025-09-07T06:18:29.4568050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/NSW
2025-09-07T06:18:29.4568960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Broken_Hill
2025-09-07T06:18:29.4569840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Australia/Currie
2025-09-07T06:18:29.4570640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-10
2025-09-07T06:18:29.4571470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+12
2025-09-07T06:18:29.4572520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-11
2025-09-07T06:18:29.4573380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/Universal
2025-09-07T06:18:29.4574190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/Greenwich
2025-09-07T06:18:29.4575100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-6
2025-09-07T06:18:29.4575850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-1
2025-09-07T06:18:29.4576600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-8
2025-09-07T06:18:29.4577450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+4
2025-09-07T06:18:29.4578210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+3
2025-09-07T06:18:29.4579060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-9
2025-09-07T06:18:29.4579950Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-0
2025-09-07T06:18:29.4580790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-7
2025-09-07T06:18:29.4581550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+2
2025-09-07T06:18:29.4582380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+5
2025-09-07T06:18:29.4583200Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT
2025-09-07T06:18:29.4583930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/Zulu
2025-09-07T06:18:29.4584710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+11
2025-09-07T06:18:29.4585620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-13
2025-09-07T06:18:29.4586310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-14
2025-09-07T06:18:29.4587040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+10
2025-09-07T06:18:29.4591810Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-12
2025-09-07T06:18:29.4592020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT0
2025-09-07T06:18:29.4592140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/UCT
2025-09-07T06:18:29.4592270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+0
2025-09-07T06:18:29.4592560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+7
2025-09-07T06:18:29.4592680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+9
2025-09-07T06:18:29.4592850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-2
2025-09-07T06:18:29.4593140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-5
2025-09-07T06:18:29.4594230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+8
2025-09-07T06:18:29.4594960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+6
2025-09-07T06:18:29.4595790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT+1
2025-09-07T06:18:29.4596580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/UTC
2025-09-07T06:18:29.4597260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-4
2025-09-07T06:18:29.4598020Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Etc/GMT-3
2025-09-07T06:18:29.4598820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/zonenow.tab
2025-09-07T06:18:29.4599520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/NZ-CHAT
2025-09-07T06:18:29.4600370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dushanbe
2025-09-07T06:18:29.4601350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Qostanay
2025-09-07T06:18:29.4602030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Calcutta
2025-09-07T06:18:29.4602860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Urumqi
2025-09-07T06:18:29.4603830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Karachi
2025-09-07T06:18:29.4604640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Khandyga
2025-09-07T06:18:29.4605410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Thimbu
2025-09-07T06:18:29.4606440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Thimphu
2025-09-07T06:18:29.4607350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Vladivostok
2025-09-07T06:18:29.4608280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Vientiane
2025-09-07T06:18:29.4609080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Shanghai
2025-09-07T06:18:29.4609990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ulan_Bator
2025-09-07T06:18:29.4610810Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Aden
2025-09-07T06:18:29.4611700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Muscat
2025-09-07T06:18:29.4612460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Damascus
2025-09-07T06:18:29.4613240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Jerusalem
2025-09-07T06:18:29.4614120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Brunei
2025-09-07T06:18:29.4615160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ulaanbaatar
2025-09-07T06:18:29.4616070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Amman
2025-09-07T06:18:29.4616960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kuching
2025-09-07T06:18:29.4617810Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tel_Aviv
2025-09-07T06:18:29.4618740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Seoul
2025-09-07T06:18:29.4619460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Atyrau
2025-09-07T06:18:29.4620380Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Pyongyang
2025-09-07T06:18:29.4621030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Hovd
2025-09-07T06:18:29.4622000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Hebron
2025-09-07T06:18:29.4622810Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kuwait
2025-09-07T06:18:29.4623660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tomsk
2025-09-07T06:18:29.4624450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Manila
2025-09-07T06:18:29.4625410Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Chita
2025-09-07T06:18:29.4626220Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Katmandu
2025-09-07T06:18:29.4627040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Gaza
2025-09-07T06:18:29.4627920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Samarkand
2025-09-07T06:18:29.4628740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Taipei
2025-09-07T06:18:29.4629530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tashkent
2025-09-07T06:18:29.4630480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Yekaterinburg
2025-09-07T06:18:29.4631300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Macau
2025-09-07T06:18:29.4632170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Qyzylorda
2025-09-07T06:18:29.4632940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Macao
2025-09-07T06:18:29.4633760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tokyo
2025-09-07T06:18:29.4634450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Baku
2025-09-07T06:18:29.4635150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Barnaul
2025-09-07T06:18:29.4635670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Istanbul
2025-09-07T06:18:29.4636430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Irkutsk
2025-09-07T06:18:29.4637010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Qatar
2025-09-07T06:18:29.4637620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Bahrain
2025-09-07T06:18:29.4638250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Yangon
2025-09-07T06:18:29.4638880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Yerevan
2025-09-07T06:18:29.4639500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Almaty
2025-09-07T06:18:29.4640090Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dili
2025-09-07T06:18:29.4640720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dacca
2025-09-07T06:18:29.4641450Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Chongqing
2025-09-07T06:18:29.4642100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ust-Nera
2025-09-07T06:18:29.4642740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Magadan
2025-09-07T06:18:29.4643330Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Colombo
2025-09-07T06:18:29.4644040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Krasnoyarsk
2025-09-07T06:18:29.4644820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kamchatka
2025-09-07T06:18:29.4645470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ujung_Pandang
2025-09-07T06:18:29.4646080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Jakarta
2025-09-07T06:18:29.4646750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kolkata
2025-09-07T06:18:29.4647320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kabul
2025-09-07T06:18:29.4647970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Oral
2025-09-07T06:18:29.4648780Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Jayapura
2025-09-07T06:18:29.4649300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Pontianak
2025-09-07T06:18:29.4649970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Makassar
2025-09-07T06:18:29.4650560Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tbilisi
2025-09-07T06:18:29.4651360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Singapore
2025-09-07T06:18:29.4651890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Harbin
2025-09-07T06:18:29.4652530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kashgar
2025-09-07T06:18:29.4653120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dhaka
2025-09-07T06:18:29.4653760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Yakutsk
2025-09-07T06:18:29.4654460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kuala_Lumpur
2025-09-07T06:18:29.4655050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Tehran
2025-09-07T06:18:29.4655670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Beirut
2025-09-07T06:18:29.4656510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Aqtobe
2025-09-07T06:18:29.4657100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Anadyr
2025-09-07T06:18:29.4657890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Bishkek
2025-09-07T06:18:29.4658690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Dubai
2025-09-07T06:18:29.4659510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Riyadh
2025-09-07T06:18:29.4660400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Novokuznetsk
2025-09-07T06:18:29.4661240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Aqtau
2025-09-07T06:18:29.4661900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Omsk
2025-09-07T06:18:29.4662840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ashkhabad
2025-09-07T06:18:29.4663550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Saigon
2025-09-07T06:18:29.4664370Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Sakhalin
2025-09-07T06:18:29.4665160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Hong_Kong
2025-09-07T06:18:29.4666250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Phnom_Penh
2025-09-07T06:18:29.4667080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Nicosia
2025-09-07T06:18:29.4667890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Baghdad
2025-09-07T06:18:29.4668730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Srednekolymsk
2025-09-07T06:18:29.4669640Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ashgabat
2025-09-07T06:18:29.4670480Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Kathmandu
2025-09-07T06:18:29.4671390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Choibalsan
2025-09-07T06:18:29.4672160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Bangkok
2025-09-07T06:18:29.4672920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Chungking
2025-09-07T06:18:29.4673830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Novosibirsk
2025-09-07T06:18:29.4674540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Famagusta
2025-09-07T06:18:29.4675320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Rangoon
2025-09-07T06:18:29.4676250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Asia/Ho_Chi_Minh
2025-09-07T06:18:29.4676940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/MET
2025-09-07T06:18:29.4677630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Portugal
2025-09-07T06:18:29.4678500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Palmer
2025-09-07T06:18:29.4679430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Davis
2025-09-07T06:18:29.4680390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Rothera
2025-09-07T06:18:29.4681240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Vostok
2025-09-07T06:18:29.4682050Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Syowa
2025-09-07T06:18:29.4683230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/DumontDUrville
2025-09-07T06:18:29.4684150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/McMurdo
2025-09-07T06:18:29.4685040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Macquarie
2025-09-07T06:18:29.4685970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/South_Pole
2025-09-07T06:18:29.4686960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Troll
2025-09-07T06:18:29.4687660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Mawson
2025-09-07T06:18:29.4688580Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Antarctica/Casey
2025-09-07T06:18:29.4689250Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GMT-0
2025-09-07T06:18:29.4690060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/CET
2025-09-07T06:18:29.4690800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Eire
2025-09-07T06:18:29.4691660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/PST8PDT
2025-09-07T06:18:29.4692710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/leap-seconds.list
2025-09-07T06:18:29.4693430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Jamaica
2025-09-07T06:18:29.4694140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GMT
2025-09-07T06:18:29.4694890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Zulu
2025-09-07T06:18:29.4695440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Japan
2025-09-07T06:18:29.4696100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/ROC
2025-09-07T06:18:29.4696970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GB-Eire
2025-09-07T06:18:29.4698110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Zurich
2025-09-07T06:18:29.4698650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Paris
2025-09-07T06:18:29.4699400Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Moscow
2025-09-07T06:18:29.4700340Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Luxembourg
2025-09-07T06:18:29.4701240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Ljubljana
2025-09-07T06:18:29.4701970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Helsinki
2025-09-07T06:18:29.4702740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Minsk
2025-09-07T06:18:29.4703530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Skopje
2025-09-07T06:18:29.4704360Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Dublin
2025-09-07T06:18:29.4705230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Jersey
2025-09-07T06:18:29.4706130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/San_Marino
2025-09-07T06:18:29.4707080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Gibraltar
2025-09-07T06:18:29.4707890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Belgrade
2025-09-07T06:18:29.4708830Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Guernsey
2025-09-07T06:18:29.4709750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Ulyanovsk
2025-09-07T06:18:29.4710530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Saratov
2025-09-07T06:18:29.4711300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vaduz
2025-09-07T06:18:29.4712290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Istanbul
2025-09-07T06:18:29.4713140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Lisbon
2025-09-07T06:18:29.4713990Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Uzhgorod
2025-09-07T06:18:29.4714860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kirov
2025-09-07T06:18:29.4715590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Tirane
2025-09-07T06:18:29.4716430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Tiraspol
2025-09-07T06:18:29.4717300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Sarajevo
2025-09-07T06:18:29.4718240Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Madrid
2025-09-07T06:18:29.4719040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Podgorica
2025-09-07T06:18:29.4719870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Busingen
2025-09-07T06:18:29.4720880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vatican
2025-09-07T06:18:29.4721740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Belfast
2025-09-07T06:18:29.4722630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Bratislava
2025-09-07T06:18:29.4723280Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kiev
2025-09-07T06:18:29.4724190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kaliningrad
2025-09-07T06:18:29.4725210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Zaporozhye
2025-09-07T06:18:29.4725860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vienna
2025-09-07T06:18:29.4726710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Budapest
2025-09-07T06:18:29.4727570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Vilnius
2025-09-07T06:18:29.4728430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Monaco
2025-09-07T06:18:29.4729270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Oslo
2025-09-07T06:18:29.4730190Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Astrakhan
2025-09-07T06:18:29.4731110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Simferopol
2025-09-07T06:18:29.4731940Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Volgograd
2025-09-07T06:18:29.4732800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Kyiv
2025-09-07T06:18:29.4733760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Isle_of_Man
2025-09-07T06:18:29.4734520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/London
2025-09-07T06:18:29.4735350Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Riga
2025-09-07T06:18:29.4736120Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Andorra
2025-09-07T06:18:29.4736970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Prague
2025-09-07T06:18:29.4737630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Berlin
2025-09-07T06:18:29.4738610Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Tallinn
2025-09-07T06:18:29.4739310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Rome
2025-09-07T06:18:29.4740140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Malta
2025-09-07T06:18:29.4740980Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Zagreb
2025-09-07T06:18:29.4741960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Amsterdam
2025-09-07T06:18:29.4742840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Nicosia
2025-09-07T06:18:29.4743660Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Bucharest
2025-09-07T06:18:29.4744470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Copenhagen
2025-09-07T06:18:29.4745310Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Chisinau
2025-09-07T06:18:29.4746290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Mariehamn
2025-09-07T06:18:29.4747170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Sofia
2025-09-07T06:18:29.4748150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Athens
2025-09-07T06:18:29.4748930Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Stockholm
2025-09-07T06:18:29.4749820Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Samara
2025-09-07T06:18:29.4750620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Brussels
2025-09-07T06:18:29.4751470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Europe/Warsaw
2025-09-07T06:18:29.4752080Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/ROK
2025-09-07T06:18:29.4752870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Navajo
2025-09-07T06:18:29.4753650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Singapore
2025-09-07T06:18:29.4754300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GB
2025-09-07T06:18:29.4755210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Mexico/BajaNorte
2025-09-07T06:18:29.4756010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Mexico/General
2025-09-07T06:18:29.4756880Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Mexico/BajaSur
2025-09-07T06:18:29.4757500Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/EST
2025-09-07T06:18:29.4758230Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GMT0
2025-09-07T06:18:29.4758910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Hongkong
2025-09-07T06:18:29.4759670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/PRC
2025-09-07T06:18:29.4760440Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/zone.tab
2025-09-07T06:18:29.4761100Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Iran
2025-09-07T06:18:29.4762040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/build/etc/localtime
2025-09-07T06:18:29.4762760Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/MST7MDT
2025-09-07T06:18:29.4763530Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/WET
2025-09-07T06:18:29.4764170Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/W-SU
2025-09-07T06:18:29.4764900Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/UCT
2025-09-07T06:18:29.4765540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Cuba
2025-09-07T06:18:29.4766570Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Egypt
2025-09-07T06:18:29.4767070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/GMT+0
2025-09-07T06:18:29.4767790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/tzdata.zi
2025-09-07T06:18:29.4768430Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/EET
2025-09-07T06:18:29.4769270Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Israel
2025-09-07T06:18:29.4770200Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Sao_Tome
2025-09-07T06:18:29.4771070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Conakry
2025-09-07T06:18:29.4771870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Dakar
2025-09-07T06:18:29.4772680Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Ndjamena
2025-09-07T06:18:29.4773750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Casablanca
2025-09-07T06:18:29.4774670Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lome
2025-09-07T06:18:29.4775470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Algiers
2025-09-07T06:18:29.4776390Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Mogadishu
2025-09-07T06:18:29.4777210Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lagos
2025-09-07T06:18:29.4778040Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Brazzaville
2025-09-07T06:18:29.4778890Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Timbuktu
2025-09-07T06:18:29.4779700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Nouakchott
2025-09-07T06:18:29.4780600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Maseru
2025-09-07T06:18:29.4781460Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Libreville
2025-09-07T06:18:29.4782160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Harare
2025-09-07T06:18:29.4782970Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Malabo
2025-09-07T06:18:29.4783920Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bangui
2025-09-07T06:18:29.4784740Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Nairobi
2025-09-07T06:18:29.4785590Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Kinshasa
2025-09-07T06:18:29.4786420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Porto-Novo
2025-09-07T06:18:29.4787150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Cairo
2025-09-07T06:18:29.4788030Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Douala
2025-09-07T06:18:29.4788840Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Juba
2025-09-07T06:18:29.4789720Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Gaborone
2025-09-07T06:18:29.4790550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Tunis
2025-09-07T06:18:29.4791300Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Kampala
2025-09-07T06:18:29.4792060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Mbabane
2025-09-07T06:18:29.4792910Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Addis_Ababa
2025-09-07T06:18:29.4793750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Maputo
2025-09-07T06:18:29.4794600Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bissau
2025-09-07T06:18:29.4795290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Blantyre
2025-09-07T06:18:29.4796150Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Niamey
2025-09-07T06:18:29.4797060Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Banjul
2025-09-07T06:18:29.4797870Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Abidjan
2025-09-07T06:18:29.4798650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Asmara
2025-09-07T06:18:29.4799510Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bamako
2025-09-07T06:18:29.4800320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Ouagadougou
2025-09-07T06:18:29.4801160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lusaka
2025-09-07T06:18:29.4802000Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Luanda
2025-09-07T06:18:29.4802850Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Asmera
2025-09-07T06:18:29.4803790Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Lubumbashi
2025-09-07T06:18:29.4804550Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Accra
2025-09-07T06:18:29.4805470Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Khartoum
2025-09-07T06:18:29.4806290Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Ceuta
2025-09-07T06:18:29.4807130Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Bujumbura
2025-09-07T06:18:29.4808010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Windhoek
2025-09-07T06:18:29.4808860Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/El_Aaiun
2025-09-07T06:18:29.4809690Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Tripoli
2025-09-07T06:18:29.4810700Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Monrovia
2025-09-07T06:18:29.4811620Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Dar_es_Salaam
2025-09-07T06:18:29.4812650Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Johannesburg
2025-09-07T06:18:29.4813540Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Kigali
2025-09-07T06:18:29.4814420Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Djibouti
2025-09-07T06:18:29.4815260Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Africa/Freetown
2025-09-07T06:18:29.4815960Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Factory
2025-09-07T06:18:29.4816710Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/UTC
2025-09-07T06:18:29.4817630Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Chile/EasterIsland
2025-09-07T06:18:29.4818490Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Chile/Continental
2025-09-07T06:18:29.4819160Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/HST
2025-09-07T06:18:29.4820070Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Atlantic
2025-09-07T06:18:29.4820800Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Pacific
2025-09-07T06:18:29.4821750Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Eastern
2025-09-07T06:18:29.4822320Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Yukon
2025-09-07T06:18:29.4823140Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Saskatchewan
2025-09-07T06:18:29.4824110Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Newfoundland
2025-09-07T06:18:29.4825010Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Central
2025-09-07T06:18:29.4825730Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Canada/Mountain
2025-09-07T06:18:29.4826520Z /opt/homebrew/Caskroom/miniconda/base/share/zoneinfo/Iceland
2025-09-07T06:18:29.4827500Z /opt/homebrew/Caskroom/miniconda/base/share/pkgconfig/nlohmann_json.pc
2025-09-07T06:18:29.4828540Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/nlohmann_json/nlohmann_jsonTargets.cmake
2025-09-07T06:18:29.4829800Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/nlohmann_json/nlohmann_jsonConfigVersion.cmake
2025-09-07T06:18:29.4830840Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/nlohmann_json/nlohmann_jsonConfig.cmake
2025-09-07T06:18:29.4831720Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/tl-expected/tl-expected-targets.cmake
2025-09-07T06:18:29.4832650Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/tl-expected/tl-expected-config-version.cmake
2025-09-07T06:18:29.4833440Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/tl-expected/tl-expected-config.cmake
2025-09-07T06:18:29.4834130Z /opt/homebrew/Caskroom/miniconda/base/share/cmake/Modules/FindLibSolv.cmake
2025-09-07T06:18:29.4834610Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/vt300
2025-09-07T06:18:29.4835170Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/std
2025-09-07T06:18:29.4836000Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/vt100
2025-09-07T06:18:29.4836500Z /opt/homebrew/Caskroom/miniconda/base/share/tabset/stdcrt
2025-09-07T06:18:29.4837050Z /opt/homebrew/Caskroom/miniconda/base/share/info/libffi.info
2025-09-07T06:18:29.4837660Z /opt/homebrew/Caskroom/miniconda/base/share/info/readline.info
2025-09-07T06:18:29.4838270Z /opt/homebrew/Caskroom/miniconda/base/share/info/rluserman.info
2025-09-07T06:18:29.4838900Z /opt/homebrew/Caskroom/miniconda/base/share/info/history.info
2025-09-07T06:18:29.4839780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x50-mono
2025-09-07T06:18:29.4840340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620-103k
2025-09-07T06:18:29.4840960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex232
2025-09-07T06:18:29.4841610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410v1-w
2025-09-07T06:18:29.4842300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420_2
2025-09-07T06:18:29.4842860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idl1
2025-09-07T06:18:29.4843580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansil
2025-09-07T06:18:29.4844180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s-rv-ctxt
2025-09-07T06:18:29.4845030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-40-rv
2025-09-07T06:18:29.4845440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idc
2025-09-07T06:18:29.4846030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-18
2025-09-07T06:18:29.4846630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-20
2025-09-07T06:18:29.4847300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-soroc
2025-09-07T06:18:29.4847900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att6386
2025-09-07T06:18:29.4848520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4425
2025-09-07T06:18:29.4849210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-ctxt
2025-09-07T06:18:29.4849840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415+nl
2025-09-07T06:18:29.4850440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj830
2025-09-07T06:18:29.4851280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansiw
2025-09-07T06:18:29.4851840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex232w
2025-09-07T06:18:29.4852540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm-16color
2025-09-07T06:18:29.4853160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-rv-unk
2025-09-07T06:18:29.4853840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-videx2
2025-09-07T06:18:29.4854470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85e
2025-09-07T06:18:29.4855070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x30
2025-09-07T06:18:29.4855710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-vm80
2025-09-07T06:18:29.4856420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-rv-nl
2025-09-07T06:18:29.4856990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa+rv
2025-09-07T06:18:29.4857720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alacritty+common
2025-09-07T06:18:29.4858350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-rv
2025-09-07T06:18:29.4858910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/a210
2025-09-07T06:18:29.4859490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85
2025-09-07T06:18:29.4860160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610+cvis
2025-09-07T06:18:29.4860840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-videx3
2025-09-07T06:18:29.4861650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alacritty
2025-09-07T06:18:29.4862350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415
2025-09-07T06:18:29.4863260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s
2025-09-07T06:18:29.4864130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mono
2025-09-07T06:18:29.4864930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+pp
2025-09-07T06:18:29.4865880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-28
2025-09-07T06:18:29.4866700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idl
2025-09-07T06:18:29.4867560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-s-rv
2025-09-07T06:18:29.4868330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att513
2025-09-07T06:18:29.4869140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4424
2025-09-07T06:18:29.4870040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-rv-ns
2025-09-07T06:18:29.4870820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-26
2025-09-07T06:18:29.4871700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att510d
2025-09-07T06:18:29.4872600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ap-vm80
2025-09-07T06:18:29.4873450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620-103k-w
2025-09-07T06:18:29.4874240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo_19L
2025-09-07T06:18:29.4875000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w
2025-09-07T06:18:29.4875760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos3
2025-09-07T06:18:29.4876600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansil-mono
2025-09-07T06:18:29.4877370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos4
2025-09-07T06:18:29.4878240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x30-mono
2025-09-07T06:18:29.4879140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+cpr
2025-09-07T06:18:29.4880050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-rv
2025-09-07T06:18:29.4880780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apl
2025-09-07T06:18:29.4881630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w-rv
2025-09-07T06:18:29.4882440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-4
2025-09-07T06:18:29.4883330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-3
2025-09-07T06:18:29.4884140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620
2025-09-07T06:18:29.4884930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari_st
2025-09-07T06:18:29.4885820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aa4080
2025-09-07T06:18:29.4886730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alto-heath
2025-09-07T06:18:29.4887520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt2
2025-09-07T06:18:29.4888300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj
2025-09-07T06:18:29.4889100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt5
2025-09-07T06:18:29.4890010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x25-raw
2025-09-07T06:18:29.4890790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos5
2025-09-07T06:18:29.4891630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aas1901
2025-09-07T06:18:29.4892390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt
2025-09-07T06:18:29.4893300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/awsc
2025-09-07T06:18:29.4894130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-unk
2025-09-07T06:18:29.4894950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos2
2025-09-07T06:18:29.4895770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple2e
2025-09-07T06:18:29.4896580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4424m
2025-09-07T06:18:29.4897530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+csr
2025-09-07T06:18:29.4898380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-generic
2025-09-07T06:18:29.4899370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/addsviewpoint
2025-09-07T06:18:29.4900330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-s
2025-09-07T06:18:29.4901240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo+vt132
2025-09-07T06:18:29.4901990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt4
2025-09-07T06:18:29.4902810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w
2025-09-07T06:18:29.4903630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-24-rv
2025-09-07T06:18:29.4904390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt3
2025-09-07T06:18:29.4905200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5425
2025-09-07T06:18:29.4906000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att630
2025-09-07T06:18:29.4906910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgr
2025-09-07T06:18:29.4907770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+cup
2025-09-07T06:18:29.4908680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-2
2025-09-07T06:18:29.4909540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w
2025-09-07T06:18:29.4910310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-rv
2025-09-07T06:18:29.4911130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-ctxt
2025-09-07T06:18:29.4911910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt+s
2025-09-07T06:18:29.4912690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex175
2025-09-07T06:18:29.4913460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos-5
2025-09-07T06:18:29.4914210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amp219
2025-09-07T06:18:29.4915010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm42
2025-09-07T06:18:29.4915870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att505-24
2025-09-07T06:18:29.4916720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s-rv
2025-09-07T06:18:29.4917520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm1a
2025-09-07T06:18:29.4918330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615
2025-09-07T06:18:29.4919200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-emx
2025-09-07T06:18:29.4920060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrbold
2025-09-07T06:18:29.4920930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrul
2025-09-07T06:18:29.4921690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm20
2025-09-07T06:18:29.4922650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x60-mono
2025-09-07T06:18:29.4923510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610-103k
2025-09-07T06:18:29.4924190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari
2025-09-07T06:18:29.4925140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari-old
2025-09-07T06:18:29.4925960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansiterm
2025-09-07T06:18:29.4926790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410v1
2025-09-07T06:18:29.4927590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm11
2025-09-07T06:18:29.4928350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5418-w
2025-09-07T06:18:29.4929170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5430
2025-09-07T06:18:29.4930080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-rv-ns
2025-09-07T06:18:29.4930940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrso
2025-09-07T06:18:29.4931730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi
2025-09-07T06:18:29.4932610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att505-22
2025-09-07T06:18:29.4933450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/a80
2025-09-07T06:18:29.4934290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att605-pc
2025-09-07T06:18:29.4935050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm21
2025-09-07T06:18:29.4935950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610-w
2025-09-07T06:18:29.4936800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm42-ns
2025-09-07T06:18:29.4937570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+rca2
2025-09-07T06:18:29.4938400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att500
2025-09-07T06:18:29.4939270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100
2025-09-07T06:18:29.4940270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm5
2025-09-07T06:18:29.4940950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga-8bit
2025-09-07T06:18:29.4941960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ambassador
2025-09-07T06:18:29.4942460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm2
2025-09-07T06:18:29.4943380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att2350
2025-09-07T06:18:29.4944340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-color-2-emx
2025-09-07T06:18:29.4944880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansis-mono
2025-09-07T06:18:29.4945900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-color-3-emx
2025-09-07T06:18:29.4946740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-24
2025-09-07T06:18:29.4947830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altoheath
2025-09-07T06:18:29.4948490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610+cvis0
2025-09-07T06:18:29.4949270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansisysk
2025-09-07T06:18:29.4950020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi43m
2025-09-07T06:18:29.4951210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4418-w
2025-09-07T06:18:29.4951650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420+nl
2025-09-07T06:18:29.4952440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple2e-p
2025-09-07T06:18:29.4953360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo_color
2025-09-07T06:18:29.4954240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730r-41
2025-09-07T06:18:29.4954830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410v1
2025-09-07T06:18:29.4955950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mtabs
2025-09-07T06:18:29.4956530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w-nl
2025-09-07T06:18:29.4957270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm3
2025-09-07T06:18:29.4958270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atarist-m
2025-09-07T06:18:29.4958860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610-103k-w
2025-09-07T06:18:29.4959670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s-rv
2025-09-07T06:18:29.4960550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+sgrdim
2025-09-07T06:18:29.4961530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-uterm-vb
2025-09-07T06:18:29.4962390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex80
2025-09-07T06:18:29.4963060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730r-24
2025-09-07T06:18:29.4963840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100-w
2025-09-07T06:18:29.4964750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex219
2025-09-07T06:18:29.4965490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/addrinfo
2025-09-07T06:18:29.4966550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60
2025-09-07T06:18:29.4967060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x25
2025-09-07T06:18:29.4967960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa+dec
2025-09-07T06:18:29.4968810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex210
2025-09-07T06:18:29.4969730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex219w
2025-09-07T06:18:29.4970530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100-am
2025-09-07T06:18:29.4971620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-ns
2025-09-07T06:18:29.4972360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w-rv-n
2025-09-07T06:18:29.4973230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-ae
2025-09-07T06:18:29.4974090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615-103k-w
2025-09-07T06:18:29.4974820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+erase
2025-09-07T06:18:29.4975670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att510a
2025-09-07T06:18:29.4976510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4426
2025-09-07T06:18:29.4977510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att630-24
2025-09-07T06:18:29.4978230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altoh19
2025-09-07T06:18:29.4979010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa
2025-09-07T06:18:29.4979860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-24
2025-09-07T06:18:29.4980860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-uterm
2025-09-07T06:18:29.4981650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+rep
2025-09-07T06:18:29.4982400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-rv
2025-09-07T06:18:29.4983250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alto-h19
2025-09-07T06:18:29.4984100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-rv-ctxt
2025-09-07T06:18:29.4985070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari_st-color
2025-09-07T06:18:29.4985880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansis
2025-09-07T06:18:29.4986770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm80
2025-09-07T06:18:29.4987410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x50
2025-09-07T06:18:29.4988230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615-w
2025-09-07T06:18:29.4989040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410
2025-09-07T06:18:29.4989910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm-m-old
2025-09-07T06:18:29.4990640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4425-nl
2025-09-07T06:18:29.4991570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt7pc
2025-09-07T06:18:29.4992320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-48
2025-09-07T06:18:29.4993100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+idc1
2025-09-07T06:18:29.4993940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+tabs
2025-09-07T06:18:29.4994780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleII
2025-09-07T06:18:29.4995750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alacritty-direct
2025-09-07T06:18:29.4996520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj832
2025-09-07T06:18:29.4997490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+local1
2025-09-07T06:18:29.4998220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85h-old
2025-09-07T06:18:29.4999150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm+sl
2025-09-07T06:18:29.4999980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex-219w
2025-09-07T06:18:29.5000640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari-m
2025-09-07T06:18:29.5001640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar0+
2025-09-07T06:18:29.5002520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x60
2025-09-07T06:18:29.5003130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4424-1
2025-09-07T06:18:29.5004170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+rca
2025-09-07T06:18:29.5004780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4420
2025-09-07T06:18:29.5005580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4418
2025-09-07T06:18:29.5006580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-22
2025-09-07T06:18:29.5007070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aepro
2025-09-07T06:18:29.5008000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-nl
2025-09-07T06:18:29.5008960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410v1-w
2025-09-07T06:18:29.5009640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-34
2025-09-07T06:18:29.5010710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-w-rv-n
2025-09-07T06:18:29.5011320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-48-rv
2025-09-07T06:18:29.5012400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo
2025-09-07T06:18:29.5012850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mini
2025-09-07T06:18:29.5013670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-40
2025-09-07T06:18:29.5014410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+enq
2025-09-07T06:18:29.5015250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/abm85h
2025-09-07T06:18:29.5016070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/annarbor4080
2025-09-07T06:18:29.5016900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-nt
2025-09-07T06:18:29.5017690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-rv
2025-09-07T06:18:29.5018430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-rv
2025-09-07T06:18:29.5019250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420
2025-09-07T06:18:29.5020040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi77
2025-09-07T06:18:29.5020920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-mr
2025-09-07T06:18:29.5021760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5418
2025-09-07T06:18:29.5022510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm3a
2025-09-07T06:18:29.5023460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x43-mono
2025-09-07T06:18:29.5024300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-1
2025-09-07T06:18:29.5024930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/atari-color
2025-09-07T06:18:29.5026000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s-ctxt
2025-09-07T06:18:29.5030110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi.sys
2025-09-07T06:18:29.5030300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-s
2025-09-07T06:18:29.5031260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos7
2025-09-07T06:18:29.5031380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-18-rv
2025-09-07T06:18:29.5031500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm31
2025-09-07T06:18:29.5031630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w-nl
2025-09-07T06:18:29.5031760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5620-s
2025-09-07T06:18:29.5031870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm36
2025-09-07T06:18:29.5032490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar
2025-09-07T06:18:29.5032940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga
2025-09-07T06:18:29.5033590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apollo_15P
2025-09-07T06:18:29.5034180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/alt7
2025-09-07T06:18:29.5034820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-rv-s
2025-09-07T06:18:29.5035470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730-41
2025-09-07T06:18:29.5036160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420_2-w
2025-09-07T06:18:29.5036760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att605-w
2025-09-07T06:18:29.5037380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att605
2025-09-07T06:18:29.5038060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-60-dec-rv
2025-09-07T06:18:29.5038650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410
2025-09-07T06:18:29.5039340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/altos7pc
2025-09-07T06:18:29.5040080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm1178
2025-09-07T06:18:29.5040650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/absolute
2025-09-07T06:18:29.5041390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex-219
2025-09-07T06:18:29.5042180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at
2025-09-07T06:18:29.5043090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm+sgr
2025-09-07T06:18:29.5043860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620-w
2025-09-07T06:18:29.5044680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s
2025-09-07T06:18:29.5045440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aj510
2025-09-07T06:18:29.5046220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730-24
2025-09-07T06:18:29.5046970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex-232
2025-09-07T06:18:29.5047780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aws
2025-09-07T06:18:29.5048670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att7300
2025-09-07T06:18:29.5049670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm3a+
2025-09-07T06:18:29.5050300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar0
2025-09-07T06:18:29.5051200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm12
2025-09-07T06:18:29.5051780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-rv
2025-09-07T06:18:29.5052530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730r
2025-09-07T06:18:29.5053380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi.sys-old
2025-09-07T06:18:29.5054220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/a980
2025-09-07T06:18:29.5054890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att620
2025-09-07T06:18:29.5055870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-videx
2025-09-07T06:18:29.5056560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi.sysk
2025-09-07T06:18:29.5057420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amp219w
2025-09-07T06:18:29.5058250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ampex175-b
2025-09-07T06:18:29.5059290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x25-mono
2025-09-07T06:18:29.5059850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm31-old
2025-09-07T06:18:29.5060660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avatar1
2025-09-07T06:18:29.5061470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple-80
2025-09-07T06:18:29.5062270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-db
2025-09-07T06:18:29.5063200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga-vnc
2025-09-07T06:18:29.5064300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-rv-nl
2025-09-07T06:18:29.5064780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm22
2025-09-07T06:18:29.5065570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att610
2025-09-07T06:18:29.5066430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adds980
2025-09-07T06:18:29.5067480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/apple80p
2025-09-07T06:18:29.5068010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5410-w
2025-09-07T06:18:29.5068840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+inittabs
2025-09-07T06:18:29.5069600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+local
2025-09-07T06:18:29.5070520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5425-nl
2025-09-07T06:18:29.5071410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aterm
2025-09-07T06:18:29.5072050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at-m
2025-09-07T06:18:29.5072940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4425-w
2025-09-07T06:18:29.5073790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5425-w
2025-09-07T06:18:29.5074760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-rv-ctxt
2025-09-07T06:18:29.5075680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att2300
2025-09-07T06:18:29.5076440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-ns
2025-09-07T06:18:29.5077190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5310
2025-09-07T06:18:29.5078050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4410-w
2025-09-07T06:18:29.5078940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-36-rv
2025-09-07T06:18:29.5079750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/act4
2025-09-07T06:18:29.5080700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-rv-s
2025-09-07T06:18:29.5081530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm-m
2025-09-07T06:18:29.5082360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adm1
2025-09-07T06:18:29.5083310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/amiga-h
2025-09-07T06:18:29.5084150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att615-103k
2025-09-07T06:18:29.5085020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ambas
2025-09-07T06:18:29.5085790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at386
2025-09-07T06:18:29.5086600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleIIe
2025-09-07T06:18:29.5087470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att700
2025-09-07T06:18:29.5088320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-36
2025-09-07T06:18:29.5089190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att4415-w-rv
2025-09-07T06:18:29.5090100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/arm100-wam
2025-09-07T06:18:29.5090930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/act5
2025-09-07T06:18:29.5091790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleIIgs
2025-09-07T06:18:29.5092650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/addsvp60
2025-09-07T06:18:29.5093420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/avt-w-s
2025-09-07T06:18:29.5094380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5320
2025-09-07T06:18:29.5095220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-s-ctxt
2025-09-07T06:18:29.5096020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa+unk
2025-09-07T06:18:29.5096890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi-m
2025-09-07T06:18:29.5097730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/adds200
2025-09-07T06:18:29.5098590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+apparrows
2025-09-07T06:18:29.5099480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30-s-rv-ct
2025-09-07T06:18:29.5100240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/appleIIc
2025-09-07T06:18:29.5101020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aaa-30
2025-09-07T06:18:29.5101990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/at-color
2025-09-07T06:18:29.5102770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att730
2025-09-07T06:18:29.5103660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi80x43
2025-09-07T06:18:29.5104520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att5420-nl
2025-09-07T06:18:29.5105390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/att505
2025-09-07T06:18:29.5106230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/ansi+arrows
2025-09-07T06:18:29.5107030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/61/aixterm
2025-09-07T06:18:29.5107820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f200vi-w
2025-09-07T06:18:29.5108620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f200vi
2025-09-07T06:18:29.5109410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f200
2025-09-07T06:18:29.5110210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fenixw
2025-09-07T06:18:29.5110990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/falco-p
2025-09-07T06:18:29.5111790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fox
2025-09-07T06:18:29.5112560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/foot
2025-09-07T06:18:29.5113390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom
2025-09-07T06:18:29.5114180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f100
2025-09-07T06:18:29.5114980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fbterm
2025-09-07T06:18:29.5115860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom110
2025-09-07T06:18:29.5116950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110-14w
2025-09-07T06:18:29.5117430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110-w
2025-09-07T06:18:29.5118270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f1720
2025-09-07T06:18:29.5119160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/foot+base
2025-09-07T06:18:29.5119770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fixterm
2025-09-07T06:18:29.5120610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom100
2025-09-07T06:18:29.5121750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f200-w
2025-09-07T06:18:29.5122110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fos
2025-09-07T06:18:29.5123190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/foot-direct
2025-09-07T06:18:29.5123670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110
2025-09-07T06:18:29.5124420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fenix
2025-09-07T06:18:29.5125190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/falco
2025-09-07T06:18:29.5126020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f110-14
2025-09-07T06:18:29.5126900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom-rv
2025-09-07T06:18:29.5127870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f100-rv
2025-09-07T06:18:29.5128580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/freedom200
2025-09-07T06:18:29.5129290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/f1720a
2025-09-07T06:18:29.5130150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/66/fortune
2025-09-07T06:18:29.5131010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P4
2025-09-07T06:18:29.5131540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14-W
2025-09-07T06:18:29.5132360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14-M
2025-09-07T06:18:29.5133250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P5
2025-09-07T06:18:29.5134230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P9-8-W
2025-09-07T06:18:29.5134890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P9-8
2025-09-07T06:18:29.5135880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P8-W
2025-09-07T06:18:29.5136480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12-M
2025-09-07T06:18:29.5137140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P7
2025-09-07T06:18:29.5137880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P9
2025-09-07T06:18:29.5138520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P8
2025-09-07T06:18:29.5139310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12-M-W
2025-09-07T06:18:29.5139990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12-W
2025-09-07T06:18:29.5140730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P9-W
2025-09-07T06:18:29.5141430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14
2025-09-07T06:18:29.5142570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P14-M-W
2025-09-07T06:18:29.5142950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/50/P12
2025-09-07T06:18:29.5143780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp236
2025-09-07T06:18:29.5144600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19us
2025-09-07T06:18:29.5145260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h-100
2025-09-07T06:18:29.5146070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-nt
2025-09-07T06:18:29.5147020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b-kx-p
2025-09-07T06:18:29.5148000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h100
2025-09-07T06:18:29.5148440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19a
2025-09-07T06:18:29.5149350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624-10p
2025-09-07T06:18:29.5150280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19
2025-09-07T06:18:29.5150890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hirez100
2025-09-07T06:18:29.5151900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621a-a
2025-09-07T06:18:29.5152460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2640b
2025-09-07T06:18:29.5153360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-smul
2025-09-07T06:18:29.5154420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h80
2025-09-07T06:18:29.5154870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626p
2025-09-07T06:18:29.5155750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2623a
2025-09-07T06:18:29.5156710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpterm-color
2025-09-07T06:18:29.5157270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpex2
2025-09-07T06:18:29.5158380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2645a
2025-09-07T06:18:29.5158830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heath-19
2025-09-07T06:18:29.5159670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hterm
2025-09-07T06:18:29.5160250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19g
2025-09-07T06:18:29.5161010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-u
2025-09-07T06:18:29.5162010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-12
2025-09-07T06:18:29.5162950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp
2025-09-07T06:18:29.5163750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-g
2025-09-07T06:18:29.5164640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-x40
2025-09-07T06:18:29.5165550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpterm-color2
2025-09-07T06:18:29.5166480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heathkit
2025-09-07T06:18:29.5167160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-kc-bc
2025-09-07T06:18:29.5167930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-a
2025-09-07T06:18:29.5168840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b-kx
2025-09-07T06:18:29.5169480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-bs
2025-09-07T06:18:29.5170480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp70092A
2025-09-07T06:18:29.5171090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-wl
2025-09-07T06:18:29.5172220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+pfk-cr
2025-09-07T06:18:29.5172710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz2000
2025-09-07T06:18:29.5173590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550a-color
2025-09-07T06:18:29.5174460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-4p
2025-09-07T06:18:29.5175320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550
2025-09-07T06:18:29.5176290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpsub
2025-09-07T06:18:29.5176890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+arrows
2025-09-07T06:18:29.5177970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+pfk+arrows
2025-09-07T06:18:29.5178450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621k45
2025-09-07T06:18:29.5179570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heathkit-a
2025-09-07T06:18:29.5180160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550-color
2025-09-07T06:18:29.5180980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hds200
2025-09-07T06:18:29.5181850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1420
2025-09-07T06:18:29.5182610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2392
2025-09-07T06:18:29.5183450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hirez100-w
2025-09-07T06:18:29.5184400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2648
2025-09-07T06:18:29.5185090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft-c
2025-09-07T06:18:29.5185850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1552
2025-09-07T06:18:29.5186550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2
2025-09-07T06:18:29.5187390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-nkc-bc
2025-09-07T06:18:29.5188200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+color
2025-09-07T06:18:29.5189060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-fl
2025-09-07T06:18:29.5190240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2641a
2025-09-07T06:18:29.5190650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/htx11
2025-09-07T06:18:29.5191380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2627a
2025-09-07T06:18:29.5192160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp262x
2025-09-07T06:18:29.5193020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624
2025-09-07T06:18:29.5193810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2623
2025-09-07T06:18:29.5194830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621p-a
2025-09-07T06:18:29.5195610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-k45
2025-09-07T06:18:29.5196370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b
2025-09-07T06:18:29.5197390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hazel
2025-09-07T06:18:29.5198010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2648a
2025-09-07T06:18:29.5198790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98550a
2025-09-07T06:18:29.5199670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2622
2025-09-07T06:18:29.5200390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp9837
2025-09-07T06:18:29.5201310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-4p-p
2025-09-07T06:18:29.5202230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621p
2025-09-07T06:18:29.5203000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpgeneric
2025-09-07T06:18:29.5203830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624a
2025-09-07T06:18:29.5204680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1500
2025-09-07T06:18:29.5205550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19kermit
2025-09-07T06:18:29.5206160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-us
2025-09-07T06:18:29.5207210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft-old
2025-09-07T06:18:29.5207750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp700-wy
2025-09-07T06:18:29.5208810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp9845
2025-09-07T06:18:29.5209280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-nl
2025-09-07T06:18:29.5210130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpex
2025-09-07T06:18:29.5210800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19k
2025-09-07T06:18:29.5211750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hterm-256color
2025-09-07T06:18:29.5212630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-kc-uc
2025-09-07T06:18:29.5213250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+printer
2025-09-07T06:18:29.5214360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2397a
2025-09-07T06:18:29.5214830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b-10p
2025-09-07T06:18:29.5215600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1510
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2025-09-07T06:18:29.5219740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2640a
2025-09-07T06:18:29.5220620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1520
2025-09-07T06:18:29.5221790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626a
2025-09-07T06:18:29.5222270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624a-10p
2025-09-07T06:18:29.5223310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heath
2025-09-07T06:18:29.5223900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft-c-old
2025-09-07T06:18:29.5224680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp98720
2025-09-07T06:18:29.5225470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1000
2025-09-07T06:18:29.5226190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hft
2025-09-07T06:18:29.5226970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2382
2025-09-07T06:18:29.5227740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpterm
2025-09-07T06:18:29.5228490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hpansi
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2025-09-07T06:18:29.5230250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h19-b
2025-09-07T06:18:29.5230830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621-a
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2025-09-07T06:18:29.5232390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h-100bw
2025-09-07T06:18:29.5233500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1520-noesc
2025-09-07T06:18:29.5233830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp110
2025-09-07T06:18:29.5234430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp300h
2025-09-07T06:18:29.5235010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/he80
2025-09-07T06:18:29.5235660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-12-s
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2025-09-07T06:18:29.5236840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp150
2025-09-07T06:18:29.5237470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2382a
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2025-09-07T06:18:29.5238850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+pfk+cr
2025-09-07T06:18:29.5239430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h29a-nkc-uc
2025-09-07T06:18:29.5240010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp700
2025-09-07T06:18:29.5240870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621b-p
2025-09-07T06:18:29.5241240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/h100bw
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2025-09-07T06:18:29.5243030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2622a
2025-09-07T06:18:29.5243730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2644a
2025-09-07T06:18:29.5244560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2645
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2025-09-07T06:18:29.5245540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-s
2025-09-07T06:18:29.5246160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2627c
2025-09-07T06:18:29.5246850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hz1552-rv
2025-09-07T06:18:29.5247640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626
2025-09-07T06:18:29.5248100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2627a-rev
2025-09-07T06:18:29.5248700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621
2025-09-07T06:18:29.5249300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2624b
2025-09-07T06:18:29.5249950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2626-ns
2025-09-07T06:18:29.5250530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hmod1
2025-09-07T06:18:29.5251130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2621A
2025-09-07T06:18:29.5251990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp+labels
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2025-09-07T06:18:29.5253750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/heath-ansi
2025-09-07T06:18:29.5254550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/68/hp2647a
2025-09-07T06:18:29.5255420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-35
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2025-09-07T06:18:29.5259490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oc100
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2025-09-07T06:18:29.5263770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oldibmpc3
2025-09-07T06:18:29.5264550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-w
2025-09-07T06:18:29.5265490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-50-w
2025-09-07T06:18:29.5266390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-25-w-vt
2025-09-07T06:18:29.5267230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/osborne
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2025-09-07T06:18:29.5268950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/osborne1-w
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2025-09-07T06:18:29.5272230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt
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2025-09-07T06:18:29.5273910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/ofcons
2025-09-07T06:18:29.5274780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opus3n1+
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2025-09-07T06:18:29.5276360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/otek4115
2025-09-07T06:18:29.5277290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oldxterm+sm+1006
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2025-09-07T06:18:29.5279040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-nti
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2025-09-07T06:18:29.5281340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/otek4113
2025-09-07T06:18:29.5282320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-50-nti
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2025-09-07T06:18:29.5284730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/oldpc3
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2025-09-07T06:18:29.5287990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/origpc3
2025-09-07T06:18:29.5288820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-w-vt
2025-09-07T06:18:29.5289840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/opennt-60-w
2025-09-07T06:18:29.5290660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/origibmpc3
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2025-09-07T06:18:29.5294580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6f/os9LII
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2025-09-07T06:18:29.5304750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris-ansi
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2025-09-07T06:18:29.5306360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3161
2025-09-07T06:18:29.5307030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intertube2
2025-09-07T06:18:29.5307780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6154-c
2025-09-07T06:18:29.5308530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iterm
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2025-09-07T06:18:29.5310880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5051
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2025-09-07T06:18:29.5314280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmaed
2025-09-07T06:18:29.5315120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpc
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2025-09-07T06:18:29.5317330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibcs2
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2025-09-07T06:18:29.5318980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmmpel-c
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2025-09-07T06:18:29.5321510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iTerm2.app
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2025-09-07T06:18:29.5323940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmvga-c
2025-09-07T06:18:29.5325060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm+16color
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2025-09-07T06:18:29.5328690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmega-c
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2025-09-07T06:18:29.5330550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm-pc
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2025-09-07T06:18:29.5332580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmapa8c-c
2025-09-07T06:18:29.5333370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ipsi
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2025-09-07T06:18:29.5335230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris-color
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2025-09-07T06:18:29.5337730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3161-C
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2025-09-07T06:18:29.5342470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5081-c
2025-09-07T06:18:29.5343100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris40
2025-09-07T06:18:29.5343840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8514
2025-09-07T06:18:29.5344570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm3101
2025-09-07T06:18:29.5345370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iterm2
2025-09-07T06:18:29.5346230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6153
2025-09-07T06:18:29.5347100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intertec
2025-09-07T06:18:29.5347890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6154
2025-09-07T06:18:29.5348740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpc3r
2025-09-07T06:18:29.5349500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmvga
2025-09-07T06:18:29.5350410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6155
2025-09-07T06:18:29.5350980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ims950-b
2025-09-07T06:18:29.5351770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/interix-nti
2025-09-07T06:18:29.5352630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmmono
2025-09-07T06:18:29.5353540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmapa8
2025-09-07T06:18:29.5354370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iTerm.app
2025-09-07T06:18:29.5355320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/icl6404
2025-09-07T06:18:29.5355930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/icl6404-w
2025-09-07T06:18:29.5356790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iterm2-direct
2025-09-07T06:18:29.5357450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i3101
2025-09-07T06:18:29.5358210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intext
2025-09-07T06:18:29.5358990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/interix
2025-09-07T06:18:29.5359820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpc3
2025-09-07T06:18:29.5360560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5151
2025-09-07T06:18:29.5361410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmpcx
2025-09-07T06:18:29.5362290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm+color
2025-09-07T06:18:29.5362920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i3164
2025-09-07T06:18:29.5363700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/icl6402
2025-09-07T06:18:29.5364420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ifmr
2025-09-07T06:18:29.5365200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/i400
2025-09-07T06:18:29.5366040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8507
2025-09-07T06:18:29.5367000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ims950
2025-09-07T06:18:29.5367770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/iris-ansi-ap
2025-09-07T06:18:29.5368610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibmapa16
2025-09-07T06:18:29.5369520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm-apl
2025-09-07T06:18:29.5370440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/intextii
2025-09-07T06:18:29.5371130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm8514-c
2025-09-07T06:18:29.5371880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm5154-c
2025-09-07T06:18:29.5372800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/69/ibm6153-40
2025-09-07T06:18:29.5373620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-H
2025-09-07T06:18:29.5374490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q306-8-pc
2025-09-07T06:18:29.5375350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-H-am
2025-09-07T06:18:29.5376460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-w-am
2025-09-07T06:18:29.5376960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-w
2025-09-07T06:18:29.5377880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/51/Q310-vip-Hw
2025-09-07T06:18:29.5378700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/58/X-hpterm
2025-09-07T06:18:29.5379610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/58/X-hpterm-color2
2025-09-07T06:18:29.5380440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-2012
2025-09-07T06:18:29.5381200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-44
2025-09-07T06:18:29.5382050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru+rv
2025-09-07T06:18:29.5382820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru
2025-09-07T06:18:29.5383560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator
2025-09-07T06:18:29.5384550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome+pcfkeys
2025-09-07T06:18:29.5385380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go140
2025-09-07T06:18:29.5386150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-s
2025-09-07T06:18:29.5387030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-lp
2025-09-07T06:18:29.5388080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-w-s
2025-09-07T06:18:29.5388900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gsi
2025-09-07T06:18:29.5389460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs6300
2025-09-07T06:18:29.5390270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator-52
2025-09-07T06:18:29.5391220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-44-s
2025-09-07T06:18:29.5392020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh72
2025-09-07T06:18:29.5392920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs5430-24
2025-09-07T06:18:29.5393730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh80
2025-09-07T06:18:29.5394790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru+s
2025-09-07T06:18:29.5395310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-fc5
2025-09-07T06:18:29.5396270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs5430-22
2025-09-07T06:18:29.5396870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt40
2025-09-07T06:18:29.5397590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go225
2025-09-07T06:18:29.5398370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-33-rv
2025-09-07T06:18:29.5399260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome
2025-09-07T06:18:29.5400050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-2007
2025-09-07T06:18:29.5400940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gigi
2025-09-07T06:18:29.5401530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-33
2025-09-07T06:18:29.5402400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-2008
2025-09-07T06:18:29.5403330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator-t
2025-09-07T06:18:29.5403880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/graphos
2025-09-07T06:18:29.5404910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76
2025-09-07T06:18:29.5405500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/glasstty
2025-09-07T06:18:29.5406570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-256color
2025-09-07T06:18:29.5407200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gs5430
2025-09-07T06:18:29.5408130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-rv
2025-09-07T06:18:29.5408730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-24
2025-09-07T06:18:29.5409740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru+unk
2025-09-07T06:18:29.5410780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh90
2025-09-07T06:18:29.5411380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-w
2025-09-07T06:18:29.5412260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-nctxt
2025-09-07T06:18:29.5413180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gnome-rh62
2025-09-07T06:18:29.5413940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go-225
2025-09-07T06:18:29.5414640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt100a
2025-09-07T06:18:29.5415760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt100
2025-09-07T06:18:29.5416090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gt42
2025-09-07T06:18:29.5417110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-s
2025-09-07T06:18:29.5417600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-lp
2025-09-07T06:18:29.5418670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/go140w
2025-09-07T06:18:29.5419140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/graphos-30
2025-09-07T06:18:29.5419950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-33-s
2025-09-07T06:18:29.5420860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/gator-52t
2025-09-07T06:18:29.5421650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/67/guru-76-wm
2025-09-07T06:18:29.5422390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/34/4410-w
2025-09-07T06:18:29.5423240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/34/4027ex
2025-09-07T06:18:29.5424130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/34/4025ex
2025-09-07T06:18:29.5425030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/33/386at
2025-09-07T06:18:29.5425570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/33/3b1
2025-09-07T06:18:29.5426500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4e/NCR260VT300WPP
2025-09-07T06:18:29.5427370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4e/NCRVT100WPP
2025-09-07T06:18:29.5428270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/45/Eterm-88color
2025-09-07T06:18:29.5429060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/45/Eterm
2025-09-07T06:18:29.5429950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/45/Eterm-256color
2025-09-07T06:18:29.5430770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/45/Eterm-color
2025-09-07T06:18:29.5431680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1b-nb
2025-09-07T06:18:29.5432710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scanset
2025-09-07T06:18:29.5433050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/swtp
2025-09-07T06:18:29.5433780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbee-xsb
2025-09-07T06:18:29.5434360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/synertek380
2025-09-07T06:18:29.5435030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-256color
2025-09-07T06:18:29.5435610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen5
2025-09-07T06:18:29.5436240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/soroc140
2025-09-07T06:18:29.5436950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color
2025-09-07T06:18:29.5437760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen2
2025-09-07T06:18:29.5438150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-17
2025-09-07T06:18:29.5438810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty
2025-09-07T06:18:29.5439350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun
2025-09-07T06:18:29.5440020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-16color
2025-09-07T06:18:29.5440780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stterm-256color
2025-09-07T06:18:29.5441640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen3
2025-09-07T06:18:29.5442000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen4
2025-09-07T06:18:29.5442800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.konsole-256color
2025-09-07T06:18:29.5443340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/s4
2025-09-07T06:18:29.5444050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-m1
2025-09-07T06:18:29.5444830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color-bce-s
2025-09-07T06:18:29.5445750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color-bce
2025-09-07T06:18:29.5446270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel12-80
2025-09-07T06:18:29.5446860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbee
2025-09-07T06:18:29.5447460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-0.7
2025-09-07T06:18:29.5448190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-m1b
2025-09-07T06:18:29.5448810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-cgsix
2025-09-07T06:18:29.5449390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sb3
2025-09-07T06:18:29.5450000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scoansi
2025-09-07T06:18:29.5450710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.konsole
2025-09-07T06:18:29.5451270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52-m
2025-09-07T06:18:29.5451860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-0.6
2025-09-07T06:18:29.5452570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.rxvt
2025-09-07T06:18:29.5453310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-type4
2025-09-07T06:18:29.5453980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-0.8
2025-09-07T06:18:29.5457740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sb2
2025-09-07T06:18:29.5457920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-m1b
2025-09-07T06:18:29.5458090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbeeic
2025-09-07T06:18:29.5458220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-e-s
2025-09-07T06:18:29.5458350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-cmd
2025-09-07T06:18:29.5458740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/soroc
2025-09-07T06:18:29.5459780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.gnome
2025-09-07T06:18:29.5460490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-r6
2025-09-07T06:18:29.5461360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-s
2025-09-07T06:18:29.5462070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-c
2025-09-07T06:18:29.5463010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.vte
2025-09-07T06:18:29.5463740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sune
2025-09-07T06:18:29.5464700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1-nb
2025-09-07T06:18:29.5465640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-base
2025-09-07T06:18:29.5466470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.gnome
2025-09-07T06:18:29.5467330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-m2
2025-09-07T06:18:29.5468110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun2
2025-09-07T06:18:29.5468970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-w
2025-09-07T06:18:29.5470000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-xfree86
2025-09-07T06:18:29.5470770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stterm
2025-09-07T06:18:29.5471620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-ss5
2025-09-07T06:18:29.5472420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-e
2025-09-07T06:18:29.5473220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-nic
2025-09-07T06:18:29.5474240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.mlterm-256color
2025-09-07T06:18:29.5475130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.rxvt
2025-09-07T06:18:29.5475910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-34
2025-09-07T06:18:29.5476840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel2-80
2025-09-07T06:18:29.5477620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st-direct
2025-09-07T06:18:29.5478540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/simterm
2025-09-07T06:18:29.5479470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1b
2025-09-07T06:18:29.5480320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sc415
2025-09-07T06:18:29.5481140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sibo
2025-09-07T06:18:29.5482040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scoansi-old
2025-09-07T06:18:29.5482880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stv52
2025-09-07T06:18:29.5483830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color-s
2025-09-07T06:18:29.5484960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.xterm-new
2025-09-07T06:18:29.5485730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st
2025-09-07T06:18:29.5486540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52-color
2025-09-07T06:18:29.5487370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sbobcat
2025-09-07T06:18:29.5488250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux
2025-09-07T06:18:29.5488980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-12
2025-09-07T06:18:29.5489950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color-bce-s
2025-09-07T06:18:29.5490820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen+italics
2025-09-07T06:18:29.5491560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-24
2025-09-07T06:18:29.5492500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-m2
2025-09-07T06:18:29.5493470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.linux
2025-09-07T06:18:29.5494320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screwpoint
2025-09-07T06:18:29.5495120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/soroc120
2025-09-07T06:18:29.5495970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-48
2025-09-07T06:18:29.5496810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/simpleterm
2025-09-07T06:18:29.5497600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/synertek
2025-09-07T06:18:29.5498360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scrt
2025-09-07T06:18:29.5499130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen
2025-09-07T06:18:29.5500070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-il
2025-09-07T06:18:29.5500860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce
2025-09-07T06:18:29.5501610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sbi
2025-09-07T06:18:29.5502360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sb1
2025-09-07T06:18:29.5503420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-256color
2025-09-07T06:18:29.5504120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52
2025-09-07T06:18:29.5504930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scrhp
2025-09-07T06:18:29.5505840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stterm-16color
2025-09-07T06:18:29.5506710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/scoansi-new
2025-09-07T06:18:29.5507550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/superbrain
2025-09-07T06:18:29.5508510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color-s
2025-09-07T06:18:29.5509270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sv80
2025-09-07T06:18:29.5510130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.mlterm
2025-09-07T06:18:29.5511430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.vte-256color
2025-09-07T06:18:29.5512160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.putty-256color
2025-09-07T06:18:29.5513120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.mrxvt
2025-09-07T06:18:29.5513920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/st52-old
2025-09-07T06:18:29.5514770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.Eterm
2025-09-07T06:18:29.5515960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/spinwriter
2025-09-07T06:18:29.5516340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-s
2025-09-07T06:18:29.5517120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun1
2025-09-07T06:18:29.5517990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.teraterm
2025-09-07T06:18:29.5518920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.Eterm
2025-09-07T06:18:29.5519790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.mrxvt
2025-09-07T06:18:29.5520740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-16color-bce
2025-09-07T06:18:29.5521550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-s
2025-09-07T06:18:29.5522350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/stv52pc
2025-09-07T06:18:29.5523330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1b-80
2025-09-07T06:18:29.5524090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/system1
2025-09-07T06:18:29.5524980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.linux-m1
2025-09-07T06:18:29.5526100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-1
2025-09-07T06:18:29.5526510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-color
2025-09-07T06:18:29.5527420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.xterm-new
2025-09-07T06:18:29.5528230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-256color
2025-09-07T06:18:29.5529060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen+fkeys
2025-09-07T06:18:29.5529990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen-bce.konsole
2025-09-07T06:18:29.5530800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun+sl
2025-09-07T06:18:29.5531540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sc410
2025-09-07T06:18:29.5532410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/sun-s-e
2025-09-07T06:18:29.5533360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/screen.minitel1
2025-09-07T06:18:29.5534230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/73/securecrt
2025-09-07T06:18:29.5535070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4424
2025-09-07T06:18:29.5535890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw52
2025-09-07T06:18:29.5536760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-mc-vb
2025-09-07T06:18:29.5537460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-s
2025-09-07T06:18:29.5538490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-unk-2p
2025-09-07T06:18:29.5539220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-rv
2025-09-07T06:18:29.5540180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-15
2025-09-07T06:18:29.5541020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-1
2025-09-07T06:18:29.5541760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek
2025-09-07T06:18:29.5542530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti926-8
2025-09-07T06:18:29.5543320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-mc
2025-09-07T06:18:29.5544120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb
2025-09-07T06:18:29.5544940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi925-hi
2025-09-07T06:18:29.5545690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty33
2025-09-07T06:18:29.5546480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4027-ex
2025-09-07T06:18:29.5547620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4107
2025-09-07T06:18:29.5548080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti928-8
2025-09-07T06:18:29.5548870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-rv
2025-09-07T06:18:29.5549720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p-p
2025-09-07T06:18:29.5550620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb-unk
2025-09-07T06:18:29.5551320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ttydmd
2025-09-07T06:18:29.5552380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-p-2p
2025-09-07T06:18:29.5553060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4109
2025-09-07T06:18:29.5553930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty35
2025-09-07T06:18:29.5554770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-mc-2p
2025-09-07T06:18:29.5555660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-8-132
2025-09-07T06:18:29.5556430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p-unk
2025-09-07T06:18:29.5557180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti931
2025-09-07T06:18:29.5558040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi970-vb
2025-09-07T06:18:29.5558730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5425
2025-09-07T06:18:29.5559530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts-1p
2025-09-07T06:18:29.5560710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920
2025-09-07T06:18:29.5561270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-34
2025-09-07T06:18:29.5562000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi9065
2025-09-07T06:18:29.5562860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-p-2p
2025-09-07T06:18:29.5563570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p-p
2025-09-07T06:18:29.5564620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+printer
2025-09-07T06:18:29.5565470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-mc-2p
2025-09-07T06:18:29.5566130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t16
2025-09-07T06:18:29.5567000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c
2025-09-07T06:18:29.5567800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-unk-vb
2025-09-07T06:18:29.5568580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tgtelnet
2025-09-07T06:18:29.5569410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-unk
2025-09-07T06:18:29.5570130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4027
2025-09-07T06:18:29.5571110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology
2025-09-07T06:18:29.5571890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620
2025-09-07T06:18:29.5572760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-mc-vb
2025-09-07T06:18:29.5573610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b+fn
2025-09-07T06:18:29.5574460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws2103-sna
2025-09-07T06:18:29.5575400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4105-30
2025-09-07T06:18:29.5576220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws2102-sna
2025-09-07T06:18:29.5577030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-17-ws
2025-09-07T06:18:29.5577720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b
2025-09-07T06:18:29.5578510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-mc
2025-09-07T06:18:29.5579240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi910
2025-09-07T06:18:29.5580130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb
2025-09-07T06:18:29.5580810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4424-1
2025-09-07T06:18:29.5581530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t10
2025-09-07T06:18:29.5582350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-unk
2025-09-07T06:18:29.5583190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti707
2025-09-07T06:18:29.5583850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi921
2025-09-07T06:18:29.5584530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti700
2025-09-07T06:18:29.5585360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4404
2025-09-07T06:18:29.5586170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p
2025-09-07T06:18:29.5586910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-2p
2025-09-07T06:18:29.5587810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken
2025-09-07T06:18:29.5588500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tt52
2025-09-07T06:18:29.5589250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025a
2025-09-07T06:18:29.5590180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb-p
2025-09-07T06:18:29.5591080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-unk-2p
2025-09-07T06:18:29.5591880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410v1-w
2025-09-07T06:18:29.5592600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trs2
2025-09-07T06:18:29.5593460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-mc-2p
2025-09-07T06:18:29.5594230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950
2025-09-07T06:18:29.5595010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924
2025-09-07T06:18:29.5595770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw52-m
2025-09-07T06:18:29.5596620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-132
2025-09-07T06:18:29.5597470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-nl
2025-09-07T06:18:29.5598350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5425-w
2025-09-07T06:18:29.5599180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-rv
2025-09-07T06:18:29.5600130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-p-vb
2025-09-07T06:18:29.5600930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-mc-vb
2025-09-07T06:18:29.5601700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi970-2p
2025-09-07T06:18:29.5602500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4207
2025-09-07T06:18:29.5603270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm4.59
2025-09-07T06:18:29.5604110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912cc
2025-09-07T06:18:29.5605040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb-unk
2025-09-07T06:18:29.5605850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t3800
2025-09-07T06:18:29.5606750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-mc-vb
2025-09-07T06:18:29.5607680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology-1.0.0
2025-09-07T06:18:29.5608340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw100
2025-09-07T06:18:29.5609280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+dim
2025-09-07T06:18:29.5610170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminet300
2025-09-07T06:18:29.5611110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-2018
2025-09-07T06:18:29.5611670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti703-w
2025-09-07T06:18:29.5612450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty43
2025-09-07T06:18:29.5613130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4113
2025-09-07T06:18:29.5613990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-16color
2025-09-07T06:18:29.5614730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminator
2025-09-07T06:18:29.5615530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4114
2025-09-07T06:18:29.5616370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti_ansi
2025-09-07T06:18:29.5617110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts100-ctxt
2025-09-07T06:18:29.5617950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5425-nl
2025-09-07T06:18:29.5618760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teletec
2025-09-07T06:18:29.5619480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts1p
2025-09-07T06:18:29.5620430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p-unk
2025-09-07T06:18:29.5621230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-p-vb
2025-09-07T06:18:29.5622020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4125
2025-09-07T06:18:29.5622840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-rv-4p
2025-09-07T06:18:29.5623620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts100
2025-09-07T06:18:29.5624470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p
2025-09-07T06:18:29.5625200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410-w
2025-09-07T06:18:29.5626120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb-p
2025-09-07T06:18:29.5626860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab
2025-09-07T06:18:29.5627660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti707-w
2025-09-07T06:18:29.5629720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-p
2025-09-07T06:18:29.5629850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi955-w
2025-09-07T06:18:29.5630390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-mc-2p
2025-09-07T06:18:29.5630930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4113-34
2025-09-07T06:18:29.5631750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-p
2025-09-07T06:18:29.5632280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4115
2025-09-07T06:18:29.5632910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-unk-vb
2025-09-07T06:18:29.5633450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4112
2025-09-07T06:18:29.5634150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminet1200
2025-09-07T06:18:29.5634700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t3700
2025-09-07T06:18:29.5635400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-sc+fkeys
2025-09-07T06:18:29.5635970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t1061f
2025-09-07T06:18:29.5636590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty37
2025-09-07T06:18:29.5637190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c
2025-09-07T06:18:29.5637770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t1061
2025-09-07T06:18:29.5638380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi803
2025-09-07T06:18:29.5639040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tn1200
2025-09-07T06:18:29.5639600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924-8
2025-09-07T06:18:29.5640310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb-unk
2025-09-07T06:18:29.5641210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-vt+fkeys
2025-09-07T06:18:29.5641580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts100-sp
2025-09-07T06:18:29.5642190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4420
2025-09-07T06:18:29.5642890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p-mc
2025-09-07T06:18:29.5643490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4424m
2025-09-07T06:18:29.5644340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4105
2025-09-07T06:18:29.5644800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4015-sm
2025-09-07T06:18:29.5645470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb-mc
2025-09-07T06:18:29.5646050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminet
2025-09-07T06:18:29.5646820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b
2025-09-07T06:18:29.5647540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w
2025-09-07T06:18:29.5648110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-w-rv
2025-09-07T06:18:29.5648930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teleray
2025-09-07T06:18:29.5649510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trsII
2025-09-07T06:18:29.5650170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+vb
2025-09-07T06:18:29.5650820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-p-2p
2025-09-07T06:18:29.5651480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p-p
2025-09-07T06:18:29.5652150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4109brl
2025-09-07T06:18:29.5652740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty4426
2025-09-07T06:18:29.5653380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-2p
2025-09-07T06:18:29.5654070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-unk-2p
2025-09-07T06:18:29.5654960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w-rv
2025-09-07T06:18:29.5655400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4112-5
2025-09-07T06:18:29.5656100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tmux-256color
2025-09-07T06:18:29.5656640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi924
2025-09-07T06:18:29.5657350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-rv-nl
2025-09-07T06:18:29.5657940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924-8w
2025-09-07T06:18:29.5658720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p-p
2025-09-07T06:18:29.5659630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132-w
2025-09-07T06:18:29.5660040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts-1
2025-09-07T06:18:29.5660690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-p-2p
2025-09-07T06:18:29.5661330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws-generic
2025-09-07T06:18:29.5661990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tandem6510
2025-09-07T06:18:29.5662670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm-256color
2025-09-07T06:18:29.5663540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb-mc
2025-09-07T06:18:29.5664230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912
2025-09-07T06:18:29.5665020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm
2025-09-07T06:18:29.5665710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti733
2025-09-07T06:18:29.5666620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025
2025-09-07T06:18:29.5667430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+mc
2025-09-07T06:18:29.5668200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410
2025-09-07T06:18:29.5668950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi92D
2025-09-07T06:18:29.5669760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-unk-vb
2025-09-07T06:18:29.5670510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4014
2025-09-07T06:18:29.5671330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-vt
2025-09-07T06:18:29.5672180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p
2025-09-07T06:18:29.5672910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4013
2025-09-07T06:18:29.5673720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi970
2025-09-07T06:18:29.5674670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-unk
2025-09-07T06:18:29.5675340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi914
2025-09-07T06:18:29.5676310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti735
2025-09-07T06:18:29.5676740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tmux
2025-09-07T06:18:29.5677420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti703
2025-09-07T06:18:29.5678310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi925
2025-09-07T06:18:29.5679120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/t653x
2025-09-07T06:18:29.5679890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tw52-color
2025-09-07T06:18:29.5680660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trs16
2025-09-07T06:18:29.5681390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4012
2025-09-07T06:18:29.5682170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420
2025-09-07T06:18:29.5682870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/trs80II
2025-09-07T06:18:29.5684080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4015
2025-09-07T06:18:29.5684580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-sc
2025-09-07T06:18:29.5685290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-p
2025-09-07T06:18:29.5686200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p-unk
2025-09-07T06:18:29.5687020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tab132
2025-09-07T06:18:29.5687830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4023
2025-09-07T06:18:29.5688820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-p
2025-09-07T06:18:29.5689680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tandem653
2025-09-07T06:18:29.5690470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4024
2025-09-07T06:18:29.5691370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-2p-mc
2025-09-07T06:18:29.5692160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi955-hb
2025-09-07T06:18:29.5692990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi92B
2025-09-07T06:18:29.5693930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-unk
2025-09-07T06:18:29.5694690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4014-sm
2025-09-07T06:18:29.5695590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w-nl
2025-09-07T06:18:29.5696770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916
2025-09-07T06:18:29.5697720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4205
2025-09-07T06:18:29.5698070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb-p
2025-09-07T06:18:29.5698690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm4.97
2025-09-07T06:18:29.5699440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-cr
2025-09-07T06:18:29.5700150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4113-nd
2025-09-07T06:18:29.5701020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-vb-mc
2025-09-07T06:18:29.5701750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-vb-unk
2025-09-07T06:18:29.5702580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tmux-direct
2025-09-07T06:18:29.5703300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-220-7
2025-09-07T06:18:29.5704070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4107brl
2025-09-07T06:18:29.5704750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ts1
2025-09-07T06:18:29.5705740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti926
2025-09-07T06:18:29.5706350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-unk-2p
2025-09-07T06:18:29.5707130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti924w
2025-09-07T06:18:29.5707980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tn300
2025-09-07T06:18:29.5709030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi955
2025-09-07T06:18:29.5709620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-4p
2025-09-07T06:18:29.5710380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti928
2025-09-07T06:18:29.5711250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-mc
2025-09-07T06:18:29.5712110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb
2025-09-07T06:18:29.5712830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti745
2025-09-07T06:18:29.5713620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tws2103
2025-09-07T06:18:29.5714460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-220-8
2025-09-07T06:18:29.5715260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5620-24
2025-09-07T06:18:29.5716040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5410v1
2025-09-07T06:18:29.5716710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420+nl
2025-09-07T06:18:29.5717510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025ex
2025-09-07T06:18:29.5718470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-ex
2025-09-07T06:18:29.5719620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p-mc
2025-09-07T06:18:29.5720530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-p-vb
2025-09-07T06:18:29.5721300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti800
2025-09-07T06:18:29.5722250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912c-p-vb
2025-09-07T06:18:29.5723390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty5420-w-rv-n
2025-09-07T06:18:29.5724030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b+2p
2025-09-07T06:18:29.5724740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tty40
2025-09-07T06:18:29.5725660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-unk-vb
2025-09-07T06:18:29.5726490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi950-rv-2p
2025-09-07T06:18:29.5727490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-mc
2025-09-07T06:18:29.5728400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb
2025-09-07T06:18:29.5729230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tt
2025-09-07T06:18:29.5729970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4207-s
2025-09-07T06:18:29.5730950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi912b-2p-mc
2025-09-07T06:18:29.5731710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/ti916-8
2025-09-07T06:18:29.5732640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teraterm2.3
2025-09-07T06:18:29.5733530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology-0.6.1
2025-09-07T06:18:29.5734380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi910+
2025-09-07T06:18:29.5735070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvipt
2025-09-07T06:18:29.5736030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920b-vb-mc
2025-09-07T06:18:29.5736730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/termite
2025-09-07T06:18:29.5737650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-2p-unk
2025-09-07T06:18:29.5738670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4105a
2025-09-07T06:18:29.5739450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4112-nd
2025-09-07T06:18:29.5740150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/teken-2022
2025-09-07T06:18:29.5740890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4025-17
2025-09-07T06:18:29.5741670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tvi920c-vb-p
2025-09-07T06:18:29.5742470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tek4106brl
2025-09-07T06:18:29.5743320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/terminology-1.8.1
2025-09-07T06:18:29.5744060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/74/tkterm
2025-09-07T06:18:29.5744850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4c/LFT-PC850
2025-09-07T06:18:29.5745590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4d/MtxOrb162
2025-09-07T06:18:29.5746250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4d/MtxOrb
2025-09-07T06:18:29.5747120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/4d/MtxOrb204
2025-09-07T06:18:29.5747980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uniterm
2025-09-07T06:18:29.5748700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/ultima2
2025-09-07T06:18:29.5749500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uniterm49
2025-09-07T06:18:29.5750200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uts30
2025-09-07T06:18:29.5750920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/ultimaII
2025-09-07T06:18:29.5751660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/unixpc
2025-09-07T06:18:29.5752390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/unknown
2025-09-07T06:18:29.5753080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/75/uwin
2025-09-07T06:18:29.5753820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rebus3180
2025-09-07T06:18:29.5754510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rbcomm-w
2025-09-07T06:18:29.5755350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/report+version
2025-09-07T06:18:29.5756150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-xpm
2025-09-07T06:18:29.5757020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rtpc
2025-09-07T06:18:29.5757850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-16color
2025-09-07T06:18:29.5758780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-cygwin-native
2025-09-07T06:18:29.5759510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent200
2025-09-07T06:18:29.5760170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rt6221
2025-09-07T06:18:29.5760900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rbcomm-nam
2025-09-07T06:18:29.5761700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rbcomm
2025-09-07T06:18:29.5762480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-88color
2025-09-07T06:18:29.5763180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rcons
2025-09-07T06:18:29.5763890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-cygwin
2025-09-07T06:18:29.5764680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent40
2025-09-07T06:18:29.5765430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent100
2025-09-07T06:18:29.5766200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent25
2025-09-07T06:18:29.5766920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/report+da2
2025-09-07T06:18:29.5767640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt
2025-09-07T06:18:29.5768350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent60
2025-09-07T06:18:29.5769120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rio
2025-09-07T06:18:29.5769870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rca
2025-09-07T06:18:29.5770720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-color
2025-09-07T06:18:29.5771470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-256color
2025-09-07T06:18:29.5772260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rt6221-w
2025-09-07T06:18:29.5773080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt-basic
2025-09-07T06:18:29.5773880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rcons-color
2025-09-07T06:18:29.5774710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rio-direct
2025-09-07T06:18:29.5775550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent40+
2025-09-07T06:18:29.5776310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/rxvt+pcfkeys
2025-09-07T06:18:29.5776980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent
2025-09-07T06:18:29.5777760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/72/regent20
2025-09-07T06:18:29.5778620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-vt100
2025-09-07T06:18:29.5779340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kterm
2025-09-07T06:18:29.5780180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-direct
2025-09-07T06:18:29.5780980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-base
2025-09-07T06:18:29.5785200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+sgr
2025-09-07T06:18:29.5785540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kds7372-w
2025-09-07T06:18:29.5785880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kterm-color
2025-09-07T06:18:29.5786230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-vt420pc
2025-09-07T06:18:29.5786560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kvt
2025-09-07T06:18:29.5786860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kaypro
2025-09-07T06:18:29.5787180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole
2025-09-07T06:18:29.5787510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-solaris
2025-09-07T06:18:29.5787870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-linux
2025-09-07T06:18:29.5788550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/ktm
2025-09-07T06:18:29.5789350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+sgr-dumb
2025-09-07T06:18:29.5790150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty+common
2025-09-07T06:18:29.5790990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-16color
2025-09-07T06:18:29.5791730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/k45
2025-09-07T06:18:29.5792580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kermit-am
2025-09-07T06:18:29.5793390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kds6402
2025-09-07T06:18:29.5794210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kds7372
2025-09-07T06:18:29.5795010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+acs
2025-09-07T06:18:29.5795760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty+setal
2025-09-07T06:18:29.5796710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole+pcfkeys
2025-09-07T06:18:29.5797480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-xf3x
2025-09-07T06:18:29.5798200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kt7ix
2025-09-07T06:18:29.5798990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-256color
2025-09-07T06:18:29.5799740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kermit
2025-09-07T06:18:29.5800550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty-direct
2025-09-07T06:18:29.5801190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kt7
2025-09-07T06:18:29.5802020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+color
2025-09-07T06:18:29.5802680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kitty
2025-09-07T06:18:29.5803410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kterm-co
2025-09-07T06:18:29.5804250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+koi8acs
2025-09-07T06:18:29.5805030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/klone+sgr8
2025-09-07T06:18:29.5805750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/konsole-xf4x
2025-09-07T06:18:29.5806580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kon
2025-09-07T06:18:29.5807300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kaypro2
2025-09-07T06:18:29.5808330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6b/kon2
2025-09-07T06:18:29.5809250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/38/8510
2025-09-07T06:18:29.5809930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newscbm
2025-09-07T06:18:29.5810940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25-mc-nl
2025-09-07T06:18:29.5811700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160wy60wpp
2025-09-07T06:18:29.5812530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build309
2025-09-07T06:18:29.5813260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp-517
2025-09-07T06:18:29.5814180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200wpp
2025-09-07T06:18:29.5815000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-25-w
2025-09-07T06:18:29.5815970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy50+pp
2025-09-07T06:18:29.5816730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news28-a
2025-09-07T06:18:29.5817530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25
2025-09-07T06:18:29.5818270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-29-euc
2025-09-07T06:18:29.5818900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/next
2025-09-07T06:18:29.5819680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp-511
2025-09-07T06:18:29.5820510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-s
2025-09-07T06:18:29.5821150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/netbsd6
2025-09-07T06:18:29.5821880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-50-w
2025-09-07T06:18:29.5822600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-60-nti
2025-09-07T06:18:29.5823230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-s-7
2025-09-07T06:18:29.5823960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build440
2025-09-07T06:18:29.5824640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt100an
2025-09-07T06:18:29.5825350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt+sl
2025-09-07T06:18:29.5826030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt100pp
2025-09-07T06:18:29.5826690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newhpkeyboard
2025-09-07T06:18:29.5827380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-42-sjis
2025-09-07T06:18:29.5828060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vpwpp
2025-09-07T06:18:29.5828670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nxterm
2025-09-07T06:18:29.5829360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwe501
2025-09-07T06:18:29.5829950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansisysk
2025-09-07T06:18:29.5830660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt200an
2025-09-07T06:18:29.5831320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt300pp
2025-09-07T06:18:29.5832120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy325wpp
2025-09-07T06:18:29.5832850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vp+sl
2025-09-07T06:18:29.5833590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news40
2025-09-07T06:18:29.5834550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-35-w
2025-09-07T06:18:29.5835350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy350wpp
2025-09-07T06:18:29.5836360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt300wpp
2025-09-07T06:18:29.5837110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-100
2025-09-07T06:18:29.5838060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-vt220-8
2025-09-07T06:18:29.5838850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp512-a
2025-09-07T06:18:29.5839640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp518-o
2025-09-07T06:18:29.5840540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300an
2025-09-07T06:18:29.5841350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200pp
2025-09-07T06:18:29.5842190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt100wpp
2025-09-07T06:18:29.5842850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500
2025-09-07T06:18:29.5843690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp512-o
2025-09-07T06:18:29.5844370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp518-a
2025-09-07T06:18:29.5845290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-100-nti
2025-09-07T06:18:29.5846010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news40-o
2025-09-07T06:18:29.5846820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m
2025-09-07T06:18:29.5847590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-mc
2025-09-07T06:18:29.5848350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+s
2025-09-07T06:18:29.5849310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-nl
2025-09-07T06:18:29.5850120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news40-a
2025-09-07T06:18:29.5850830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c
2025-09-07T06:18:29.5851520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nec5520
2025-09-07T06:18:29.5852370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy325pp
2025-09-07T06:18:29.5853160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt100wan
2025-09-07T06:18:29.5853980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7-s
2025-09-07T06:18:29.5854720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwe501-o
2025-09-07T06:18:29.5855370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news31
2025-09-07T06:18:29.5856220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300wan
2025-09-07T06:18:29.5856920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp251-o
2025-09-07T06:18:29.5857650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncrvt100wan
2025-09-07T06:18:29.5858430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-old-unk
2025-09-07T06:18:29.5859340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp251-a
2025-09-07T06:18:29.5860110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwe501-a
2025-09-07T06:18:29.5860980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-s-acs
2025-09-07T06:18:29.5861680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+7
2025-09-07T06:18:29.5862470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build400
2025-09-07T06:18:29.5863200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-bce
2025-09-07T06:18:29.5863900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncrvt100an
2025-09-07T06:18:29.5864690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-mc-nl
2025-09-07T06:18:29.5865500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansisys
2025-09-07T06:18:29.5866340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+acs
2025-09-07T06:18:29.5867060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-w
2025-09-07T06:18:29.5867960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-acs
2025-09-07T06:18:29.5868670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-33-sjis
2025-09-07T06:18:29.5869370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-m
2025-09-07T06:18:29.5870290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-s-acs
2025-09-07T06:18:29.5871120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp518
2025-09-07T06:18:29.5871750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp511
2025-09-07T06:18:29.5872540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-7
2025-09-07T06:18:29.5873220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp517-w
2025-09-07T06:18:29.5873940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260intwan
2025-09-07T06:18:29.5874720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-c-s
2025-09-07T06:18:29.5875450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-s
2025-09-07T06:18:29.5876240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy350pp
2025-09-07T06:18:29.5877010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+c41
2025-09-07T06:18:29.5877960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp517
2025-09-07T06:18:29.5878810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa
2025-09-07T06:18:29.5879510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news31-a
2025-09-07T06:18:29.5880310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260intan
2025-09-07T06:18:29.5881020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newhp
2025-09-07T06:18:29.5881780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news31-o
2025-09-07T06:18:29.5882750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-s
2025-09-07T06:18:29.5883590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt200wan
2025-09-07T06:18:29.5884450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/n7900
2025-09-07T06:18:29.5885230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-29-sjis
2025-09-07T06:18:29.5886070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160wy50+wpp
2025-09-07T06:18:29.5886850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-25
2025-09-07T06:18:29.5887510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nd9500
2025-09-07T06:18:29.5888280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-7
2025-09-07T06:18:29.5889050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-m-s
2025-09-07T06:18:29.5889920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-50
2025-09-07T06:18:29.5890780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build361
2025-09-07T06:18:29.5891520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vpwpp
2025-09-07T06:18:29.5892330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr7900iv
2025-09-07T06:18:29.5893130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-c-s-acs
2025-09-07T06:18:29.5893760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr7901
2025-09-07T06:18:29.5894650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt100wan
2025-09-07T06:18:29.5895400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansi.sysk
2025-09-07T06:18:29.5896250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300pp
2025-09-07T06:18:29.5897070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200an
2025-09-07T06:18:29.5897860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160wy60pp
2025-09-07T06:18:29.5898630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt300wan
2025-09-07T06:18:29.5899320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vppp
2025-09-07T06:18:29.5900230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt200pp
2025-09-07T06:18:29.5901090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt300an
2025-09-07T06:18:29.5902010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7-c-s
2025-09-07T06:18:29.5902830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-c
2025-09-07T06:18:29.5903600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-35
2025-09-07T06:18:29.5904530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-25-nti
2025-09-07T06:18:29.5905350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp-517-w
2025-09-07T06:18:29.5906130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs-m
2025-09-07T06:18:29.5907170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-acs
2025-09-07T06:18:29.5908060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-25-w-vt
2025-09-07T06:18:29.5908710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr7900
2025-09-07T06:18:29.5909590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-60
2025-09-07T06:18:29.5910350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7-m-s
2025-09-07T06:18:29.5911220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt100an
2025-09-07T06:18:29.5912020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-old
2025-09-07T06:18:29.5912710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-acs
2025-09-07T06:18:29.5913750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt100pp
2025-09-07T06:18:29.5914500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newscbm33
2025-09-07T06:18:29.5915240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news
2025-09-07T06:18:29.5916050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-42-euc
2025-09-07T06:18:29.5916750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-33
2025-09-07T06:18:29.5917550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/no+brackets
2025-09-07T06:18:29.5918260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-unk
2025-09-07T06:18:29.5918910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news42
2025-09-07T06:18:29.5919730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newscbm-o
2025-09-07T06:18:29.5920580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-direct
2025-09-07T06:18:29.5921410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp514-a
2025-09-07T06:18:29.5922360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-256color
2025-09-07T06:18:29.5923070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news29
2025-09-07T06:18:29.5923850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-m-ns
2025-09-07T06:18:29.5924650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp514-o
2025-09-07T06:18:29.5925480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/newscbm-a
2025-09-07T06:18:29.5926290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25-nl
2025-09-07T06:18:29.5927050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-ns
2025-09-07T06:18:29.5927980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ndr9500-25-mc
2025-09-07T06:18:29.5928840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-35-nti
2025-09-07T06:18:29.5929520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nec
2025-09-07T06:18:29.5930360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy60wpp
2025-09-07T06:18:29.5931160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy50+wpp
2025-09-07T06:18:29.5931960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt200wan
2025-09-07T06:18:29.5932800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160wy50+pp
2025-09-07T06:18:29.5933650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-16color
2025-09-07T06:18:29.5934410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news28
2025-09-07T06:18:29.5935190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+mac
2025-09-07T06:18:29.5936030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-60-w
2025-09-07T06:18:29.5936840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vppp
2025-09-07T06:18:29.5937580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7
2025-09-07T06:18:29.5938430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-w-vt
2025-09-07T06:18:29.5939350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt200wpp
2025-09-07T06:18:29.5940110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260intpp
2025-09-07T06:18:29.5940960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-m-s-7
2025-09-07T06:18:29.5941730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm+c
2025-09-07T06:18:29.5942480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260wy60pp
2025-09-07T06:18:29.5943210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-42
2025-09-07T06:18:29.5944180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole-50-nti
2025-09-07T06:18:29.5944900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news33
2025-09-07T06:18:29.5945630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-s
2025-09-07T06:18:29.5946370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7-c
2025-09-07T06:18:29.5947180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260intwpp
2025-09-07T06:18:29.5947990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-s-7
2025-09-07T06:18:29.5948720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-29
2025-09-07T06:18:29.5949650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-7-m
2025-09-07T06:18:29.5950370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-a
2025-09-07T06:18:29.5951120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncsa-vt220
2025-09-07T06:18:29.5951800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-o
2025-09-07T06:18:29.5952610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr7900i
2025-09-07T06:18:29.5953450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nextshell
2025-09-07T06:18:29.5954280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncrvt100pp
2025-09-07T06:18:29.5955190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp512
2025-09-07T06:18:29.5955980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/northstar
2025-09-07T06:18:29.5956730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm
2025-09-07T06:18:29.5957530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr160vt300wpp
2025-09-07T06:18:29.5958320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncrvt100wpp
2025-09-07T06:18:29.5959180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ncr260vt100wpp
2025-09-07T06:18:29.5959910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nansi.sys
2025-09-07T06:18:29.5960790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build326
2025-09-07T06:18:29.5961610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp513-o
2025-09-07T06:18:29.5962270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp513
2025-09-07T06:18:29.5963050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp514
2025-09-07T06:18:29.5963820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/ntconsole
2025-09-07T06:18:29.5964750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nsterm-build343
2025-09-07T06:18:29.5965430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/nwp513-a
2025-09-07T06:18:29.5966300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6e/news-33-euc
2025-09-07T06:18:29.5967070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/36/6053-dg
2025-09-07T06:18:29.5967820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/36/605x-dg
2025-09-07T06:18:29.5968570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/36/6053
2025-09-07T06:18:29.5969210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/36/605x
2025-09-07T06:18:29.5970330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/36/630MTG-24
2025-09-07T06:18:29.5971100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/36/630-lm
2025-09-07T06:18:29.5971890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/31/1178
2025-09-07T06:18:29.5972660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/31/1730-lm
2025-09-07T06:18:29.5973490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel62-w
2025-09-07T06:18:29.5974240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/emu-220
2025-09-07T06:18:29.5974880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/emu
2025-09-07T06:18:29.5975700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel62
2025-09-07T06:18:29.5976600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel64
2025-09-07T06:18:29.5977370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+italics
2025-09-07T06:18:29.5978070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ex155
2025-09-07T06:18:29.5978870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+sgr
2025-09-07T06:18:29.5979860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+strikeout
2025-09-07T06:18:29.5980610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel64-rv
2025-09-07T06:18:29.5981340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/elks-vt52
2025-09-07T06:18:29.5982020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ep4000
2025-09-07T06:18:29.5982860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+index
2025-09-07T06:18:29.5983540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ep48
2025-09-07T06:18:29.5984440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/elks-glasstty
2025-09-07T06:18:29.5985180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/emx-base
2025-09-07T06:18:29.5985930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ecma+color
2025-09-07T06:18:29.5986720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ep40
2025-09-07T06:18:29.5987420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ep4080
2025-09-07T06:18:29.5988200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel62-rv
2025-09-07T06:18:29.5988870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/env230
2025-09-07T06:18:29.5989720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/excel64-w
2025-09-07T06:18:29.5990600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/envision230
2025-09-07T06:18:29.5991390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/ergo4000
2025-09-07T06:18:29.5992170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/elks-ansi
2025-09-07T06:18:29.5992980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/esprit-am
2025-09-07T06:18:29.5993670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/emots
2025-09-07T06:18:29.5994400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/esprit
2025-09-07T06:18:29.5995110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/elks
2025-09-07T06:18:29.5995830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/eterm
2025-09-07T06:18:29.5996630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/exec80
2025-09-07T06:18:29.5997430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/65/eterm-color
2025-09-07T06:18:29.5998200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bct510a
2025-09-07T06:18:29.5999140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc-w-rv
2025-09-07T06:18:29.5999790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8
2025-09-07T06:18:29.6000680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc-nobold
2025-09-07T06:18:29.6001330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg2.0
2025-09-07T06:18:29.6002050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/b-128
2025-09-07T06:18:29.6002770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300
2025-09-07T06:18:29.6007060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc
2025-09-07T06:18:29.6007560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc
2025-09-07T06:18:29.6007900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg3.10rv
2025-09-07T06:18:29.6008210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bee
2025-09-07T06:18:29.6008540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-w-8rv
2025-09-07T06:18:29.6008940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bh4
2025-09-07T06:18:29.6009260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehiveIIIm
2025-09-07T06:18:29.6009620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc-m
2025-09-07T06:18:29.6009950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc-rv
2025-09-07T06:18:29.6010550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bracketed+paste
2025-09-07T06:18:29.6011450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc
2025-09-07T06:18:29.6012300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg3.10nv
2025-09-07T06:18:29.6013080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc-w
2025-09-07T06:18:29.6013850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8rv
2025-09-07T06:18:29.6014490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-rv
2025-09-07T06:18:29.6015100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/basic4
2025-09-07T06:18:29.6015710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bct510d
2025-09-07T06:18:29.6016340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8w
2025-09-07T06:18:29.6016980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehive
2025-09-07T06:18:29.6017590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-w
2025-09-07T06:18:29.6018210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg1.25nv
2025-09-07T06:18:29.6018860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg2.0nv
2025-09-07T06:18:29.6019480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bantam
2025-09-07T06:18:29.6020100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bobcat
2025-09-07T06:18:29.6020720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg3.10
2025-09-07T06:18:29.6021430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc-rv
2025-09-07T06:18:29.6021980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bh3m
2025-09-07T06:18:29.6022630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bitgraph
2025-09-07T06:18:29.6023260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-w-rv
2025-09-07T06:18:29.6023910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bterm
2025-09-07T06:18:29.6024560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-pc-mono
2025-09-07T06:18:29.6025160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg1.25rv
2025-09-07T06:18:29.6025780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg2.0rv
2025-09-07T06:18:29.6026440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-sparc
2025-09-07T06:18:29.6027060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehive4
2025-09-07T06:18:29.6027680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beehive3
2025-09-07T06:18:29.6028280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beterm
2025-09-07T06:18:29.6028930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/basis
2025-09-07T06:18:29.6029490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/blit
2025-09-07T06:18:29.6030170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bsdos-ppc
2025-09-07T06:18:29.6030890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bg1.25
2025-09-07T06:18:29.6031850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-8-pc-w-rv
2025-09-07T06:18:29.6032600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/bq300-pc-w
2025-09-07T06:18:29.6033350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/62/beacon
2025-09-07T06:18:29.6034110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTGr
2025-09-07T06:18:29.6034940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTGr-24
2025-09-07T06:18:29.6035750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTG-24
2025-09-07T06:18:29.6036650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTG-41
2025-09-07T06:18:29.6037520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/37/730MTG-41r
2025-09-07T06:18:29.6038240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime314
2025-09-07T06:18:29.6038990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mosh
2025-09-07T06:18:29.6039960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mskermit227
2025-09-07T06:18:29.6040740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mouse-sun
2025-09-07T06:18:29.6041520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mai
2025-09-07T06:18:29.6042370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mterm-ansi
2025-09-07T06:18:29.6043120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mt70
2025-09-07T06:18:29.6043920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mod24
2025-09-07T06:18:29.6044650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime340
2025-09-07T06:18:29.6045580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/modgraph48
2025-09-07T06:18:29.6046410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgterm
2025-09-07T06:18:29.6047400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-gnu-color
2025-09-07T06:18:29.6048130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/msk227
2025-09-07T06:18:29.6049000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-old
2025-09-07T06:18:29.6049920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mintty+common
2025-09-07T06:18:29.6050770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime-fb
2025-09-07T06:18:29.6051540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/masscomp
2025-09-07T06:18:29.6052320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/masscomp2
2025-09-07T06:18:29.6053050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mterm
2025-09-07T06:18:29.6053830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2
2025-09-07T06:18:29.6054580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mvterm
2025-09-07T06:18:29.6055360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mt-70
2025-09-07T06:18:29.6056180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-old-am
2025-09-07T06:18:29.6057050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mrxvt-256color
2025-09-07T06:18:29.6057790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm2
2025-09-07T06:18:29.6058650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/macintosh
2025-09-07T06:18:29.6059550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/macterminal-w
2025-09-07T06:18:29.6060390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt100
2025-09-07T06:18:29.6061250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-gnu
2025-09-07T06:18:29.6062000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mac-w
2025-09-07T06:18:29.6062850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microterm5
2025-09-07T06:18:29.6063710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/m2-nam
2025-09-07T06:18:29.6064670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mskermit227am
2025-09-07T06:18:29.6065390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm3
2025-09-07T06:18:29.6066170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2a-v
2025-09-07T06:18:29.6066990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2a
2025-09-07T06:18:29.6067780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-1.7
2025-09-07T06:18:29.6068630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel2-80
2025-09-07T06:18:29.6069410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/modgraph2
2025-09-07T06:18:29.6070250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1-nb
2025-09-07T06:18:29.6071150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime-hb
2025-09-07T06:18:29.6071920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/msk227am
2025-09-07T06:18:29.6072780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mimeii
2025-09-07T06:18:29.6073630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1b-80
2025-09-07T06:18:29.6074450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microbee
2025-09-07T06:18:29.6075290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mosh-256color
2025-09-07T06:18:29.6076190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm-direct
2025-09-07T06:18:29.6077080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt100-16color
2025-09-07T06:18:29.6077870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgr-linux
2025-09-07T06:18:29.6078730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mskermit22714
2025-09-07T06:18:29.6079630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mintty-direct
2025-09-07T06:18:29.6080440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mostlike
2025-09-07T06:18:29.6081280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgr-sun
2025-09-07T06:18:29.6082100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mac
2025-09-07T06:18:29.6082880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1
2025-09-07T06:18:29.6083710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgt
2025-09-07T06:18:29.6084510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime-3ax
2025-09-07T06:18:29.6085400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm-256color
2025-09-07T06:18:29.6086220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel12-80
2025-09-07T06:18:29.6087010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/modgraph
2025-09-07T06:18:29.6087750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mgr
2025-09-07T06:18:29.6088600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microterm
2025-09-07T06:18:29.6089510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm+pcfkeys
2025-09-07T06:18:29.6090350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/masscomp1
2025-09-07T06:18:29.6091200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-color
2025-09-07T06:18:29.6091910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime1
2025-09-07T06:18:29.6092650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mm314
2025-09-07T06:18:29.6093480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime3a
2025-09-07T06:18:29.6094440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mm340
2025-09-07T06:18:29.6095220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mt4520-rv
2025-09-07T06:18:29.6096110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/megatek
2025-09-07T06:18:29.6097070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel-2-nam
2025-09-07T06:18:29.6097980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1b-nb
2025-09-07T06:18:29.6098690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel-2
2025-09-07T06:18:29.6099510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mono-emx
2025-09-07T06:18:29.6100400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime
2025-09-07T06:18:29.6101170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/msk22714
2025-09-07T06:18:29.6101950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mdl110
2025-09-07T06:18:29.6102680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mimei
2025-09-07T06:18:29.6103480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach
2025-09-07T06:18:29.6104230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime2a-s
2025-09-07T06:18:29.6105010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-1.5
2025-09-07T06:18:29.6105870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/microb
2025-09-07T06:18:29.6106670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/memhp
2025-09-07T06:18:29.6107530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mintty
2025-09-07T06:18:29.6108260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mlterm
2025-09-07T06:18:29.6109200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt100-color
2025-09-07T06:18:29.6110010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix-3.0
2025-09-07T06:18:29.6110790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mime3ax
2025-09-07T06:18:29.6111600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt100+
2025-09-07T06:18:29.6112340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/morphos
2025-09-07T06:18:29.6113130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel
2025-09-07T06:18:29.6113920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minix
2025-09-07T06:18:29.6114770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mod
2025-09-07T06:18:29.6115600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mach-bold
2025-09-07T06:18:29.6116370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/minitel1b
2025-09-07T06:18:29.6117200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-terminal
2025-09-07T06:18:29.6118040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/mrxvt
2025-09-07T06:18:29.6118950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6d/ms-vt-utf8
2025-09-07T06:18:29.6119840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lisaterm-w
2025-09-07T06:18:29.6120740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux3.0
2025-09-07T06:18:29.6121580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux+sfkeys
2025-09-07T06:18:29.6122370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-m2
2025-09-07T06:18:29.6123120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/luna
2025-09-07T06:18:29.6123910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-lat
2025-09-07T06:18:29.6124800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/luna68k
2025-09-07T06:18:29.6125640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-koi8r
2025-09-07T06:18:29.6126470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/la120
2025-09-07T06:18:29.6127290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lft-pc850
2025-09-07T06:18:29.6128060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux2.2
2025-09-07T06:18:29.6128850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-s
2025-09-07T06:18:29.6129740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux+decid
2025-09-07T06:18:29.6130530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lisaterm
2025-09-07T06:18:29.6131660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-16color
2025-09-07T06:18:29.6132420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/ln03
2025-09-07T06:18:29.6133160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/ln03-w
2025-09-07T06:18:29.6133950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-vt
2025-09-07T06:18:29.6134820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/layer
2025-09-07T06:18:29.6135590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux+kbs
2025-09-07T06:18:29.6136460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-basic
2025-09-07T06:18:29.6137230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lisa
2025-09-07T06:18:29.6138010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux
2025-09-07T06:18:29.6138750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-m1
2025-09-07T06:18:29.6139610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-c-nc
2025-09-07T06:18:29.6140420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/liswb
2025-09-07T06:18:29.6141140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lft
2025-09-07T06:18:29.6142090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-m1b
2025-09-07T06:18:29.6142980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux2.6
2025-09-07T06:18:29.6143880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux2.6.26
2025-09-07T06:18:29.6144730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-c
2025-09-07T06:18:29.6145680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-m
2025-09-07T06:18:29.6146470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-nic
2025-09-07T06:18:29.6147350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/linux-koi8
2025-09-07T06:18:29.6148110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/6c/lpr
2025-09-07T06:18:29.6148900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/39/955-w
2025-09-07T06:18:29.6149580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/39/9term
2025-09-07T06:18:29.6150420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/39/955-hb
2025-09-07T06:18:29.6151250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-4p
2025-09-07T06:18:29.6152080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/coco3
2025-09-07T06:18:29.6152980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-6lpi
2025-09-07T06:18:29.6153750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cx100
2025-09-07T06:18:29.6154570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c321
2025-09-07T06:18:29.6155290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit80
2025-09-07T06:18:29.6156140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50
2025-09-07T06:18:29.6156960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cops-10
2025-09-07T06:18:29.6157820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept-avt
2025-09-07T06:18:29.6158600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50r
2025-09-07T06:18:29.6159490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept100-rv
2025-09-07T06:18:29.6160300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60
2025-09-07T06:18:29.6161100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cci1
2025-09-07T06:18:29.6161880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/coherent
2025-09-07T06:18:29.6162730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cad68-2
2025-09-07T06:18:29.6163610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cyb83
2025-09-07T06:18:29.6164420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-koi8r
2025-09-07T06:18:29.6165270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cbunix
2025-09-07T06:18:29.6166110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-rv
2025-09-07T06:18:29.6166850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-8p
2025-09-07T06:18:29.6167730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cs10-w
2025-09-07T06:18:29.6168510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60l1
2025-09-07T06:18:29.6169320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cad68-3
2025-09-07T06:18:29.6170010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citc
2025-09-07T06:18:29.6170870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-rv-8p
2025-09-07T06:18:29.6171760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-w8p
2025-09-07T06:18:29.6172630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-ps
2025-09-07T06:18:29.6173390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-4p
2025-09-07T06:18:29.6174210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-n132
2025-09-07T06:18:29.6175090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel320
2025-09-07T06:18:29.6176050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-koi8r-m
2025-09-07T06:18:29.6176810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ct82
2025-09-07T06:18:29.6177650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ct8500
2025-09-07T06:18:29.6178350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cops
2025-09-07T06:18:29.6179180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept100
2025-09-07T06:18:29.6179960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel321
2025-09-07T06:18:29.6180880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-8lpi
2025-09-07T06:18:29.6181680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-m
2025-09-07T06:18:29.6182430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25w
2025-09-07T06:18:29.6183250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cbblit
2025-09-07T06:18:29.6184060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108
2025-09-07T06:18:29.6184840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60r
2025-09-07T06:18:29.6185580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ctrm
2025-09-07T06:18:29.6186360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contour
2025-09-07T06:18:29.6187210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-rv
2025-09-07T06:18:29.6188070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-rv-4p
2025-09-07T06:18:29.6188900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ci8510
2025-09-07T06:18:29.6189850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-koi8r-m
2025-09-07T06:18:29.6190660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-iso-m
2025-09-07T06:18:29.6191500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/commodore
2025-09-07T06:18:29.6192250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108
2025-09-07T06:18:29.6192990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons43
2025-09-07T06:18:29.6193840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-iso8859
2025-09-07T06:18:29.6194720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101
2025-09-07T06:18:29.6195500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons30-m
2025-09-07T06:18:29.6196220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60l1-m
2025-09-07T06:18:29.6196920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100
2025-09-07T06:18:29.6197640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc752
2025-09-07T06:18:29.6198450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit500
2025-09-07T06:18:29.6199180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cgc2
2025-09-07T06:18:29.6199970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cg7900
2025-09-07T06:18:29.6200780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cygwinDBG
2025-09-07T06:18:29.6201660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/chromatics
2025-09-07T06:18:29.6202470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50l1-m
2025-09-07T06:18:29.6203240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/colorscan
2025-09-07T06:18:29.6203960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/ca22851
2025-09-07T06:18:29.6204750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-koi8r
2025-09-07T06:18:29.6205620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc721
2025-09-07T06:18:29.6206430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-n
2025-09-07T06:18:29.6207320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cgc3
2025-09-07T06:18:29.6208070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-w
2025-09-07T06:18:29.6208970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-8p
2025-09-07T06:18:29.6209640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cs10
2025-09-07T06:18:29.6210410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-m
2025-09-07T06:18:29.6211190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons30
2025-09-07T06:18:29.6212020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept
2025-09-07T06:18:29.6212840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh
2025-09-07T06:18:29.6213800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-pica
2025-09-07T06:18:29.6214670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-iso
2025-09-07T06:18:29.6215570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel300
2025-09-07T06:18:29.6216340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-rv-4p
2025-09-07T06:18:29.6216900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-4p
2025-09-07T06:18:29.6217580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-elite
2025-09-07T06:18:29.6218290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contour-direct
2025-09-07T06:18:29.6218850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cops10
2025-09-07T06:18:29.6219470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e
2025-09-07T06:18:29.6220150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contel301
2025-09-07T06:18:29.6220830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-comp
2025-09-07T06:18:29.6221580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-m
2025-09-07T06:18:29.6222510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-1p
2025-09-07T06:18:29.6223330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c100-rv
2025-09-07T06:18:29.6224100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc456
2025-09-07T06:18:29.6224800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit-80
2025-09-07T06:18:29.6225670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-iso-m
2025-09-07T06:18:29.6226490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60-iso-m
2025-09-07T06:18:29.6227220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cx
2025-09-07T06:18:29.6227950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25r
2025-09-07T06:18:29.6228940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-debian
2025-09-07T06:18:29.6229650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/crt
2025-09-07T06:18:29.6230530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c108-w-8p
2025-09-07T06:18:29.6231380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons43-m
2025-09-07T06:18:29.6232270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/crt-vt220
2025-09-07T06:18:29.6233090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc721-esc
2025-09-07T06:18:29.6233880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cygwinB19
2025-09-07T06:18:29.6234630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25l1-m
2025-09-07T06:18:29.6235470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/color_xterm
2025-09-07T06:18:29.6236240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50l1
2025-09-07T06:18:29.6237110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/citoh-prop
2025-09-07T06:18:29.6237990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50-koi8r-m
2025-09-07T06:18:29.6238850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-koi8-r
2025-09-07T06:18:29.6239610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c301
2025-09-07T06:18:29.6240510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cyb110
2025-09-07T06:18:29.6241400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25-iso8859
2025-09-07T06:18:29.6242190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108-w-8
2025-09-07T06:18:29.6242930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons60r-m
2025-09-07T06:18:29.6243670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c300
2025-09-07T06:18:29.6244400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25
2025-09-07T06:18:29.6245270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cygwin
2025-09-07T06:18:29.6246250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/contour-latest
2025-09-07T06:18:29.6247000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc721ll
2025-09-07T06:18:29.6247820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25r-m
2025-09-07T06:18:29.6248520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/c104
2025-09-07T06:18:29.6249340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cdc756
2025-09-07T06:18:29.6250240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cit101e-132
2025-09-07T06:18:29.6251010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons50r-m
2025-09-07T06:18:29.6251700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cci
2025-09-07T06:18:29.6252760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/concept108rv4p
2025-09-07T06:18:29.6253490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/63/cons25l1
2025-09-07T06:18:29.6254290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/digilog
2025-09-07T06:18:29.6254990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd-34
2025-09-07T06:18:29.6255810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmdt80
2025-09-07T06:18:29.6256650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-7b-w
2025-09-07T06:18:29.6257550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555-7b-w
2025-09-07T06:18:29.6258290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d132
2025-09-07T06:18:29.6259100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d230c
2025-09-07T06:18:29.6259980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7102-sna
2025-09-07T06:18:29.6260720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/delta
2025-09-07T06:18:29.6261540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d217-dg
2025-09-07T06:18:29.6262360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7103-sna
2025-09-07T06:18:29.6263190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix
2025-09-07T06:18:29.6264030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7003-dumb
2025-09-07T06:18:29.6264880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577-7b
2025-09-07T06:18:29.6265720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmchat
2025-09-07T06:18:29.6266600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x48-m
2025-09-07T06:18:29.6267450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt220
2025-09-07T06:18:29.6268300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-w-ccc
2025-09-07T06:18:29.6269130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm3025
2025-09-07T06:18:29.6269870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+s
2025-09-07T06:18:29.6270640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw1
2025-09-07T06:18:29.6271480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216-unix-25
2025-09-07T06:18:29.6272290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+25
2025-09-07T06:18:29.6273150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-w
2025-09-07T06:18:29.6274050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-144x48-m
2025-09-07T06:18:29.6274850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt330
2025-09-07T06:18:29.6275660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d578-dg
2025-09-07T06:18:29.6276490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/datapoint
2025-09-07T06:18:29.6277260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d211
2025-09-07T06:18:29.6278030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462e-dg
2025-09-07T06:18:29.6278870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+
2025-09-07T06:18:29.6279700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-25
2025-09-07T06:18:29.6280440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt80
2025-09-07T06:18:29.6281300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-s-ccc
2025-09-07T06:18:29.6281960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d220
2025-09-07T06:18:29.6282800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-w
2025-09-07T06:18:29.6283670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dialogue80
2025-09-07T06:18:29.6284470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-25
2025-09-07T06:18:29.6285220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dumb
2025-09-07T06:18:29.6286250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-sr-ccc
2025-09-07T06:18:29.6286960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg-generic
2025-09-07T06:18:29.6287790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d217-unix-25
2025-09-07T06:18:29.6288590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7003
2025-09-07T06:18:29.6289450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-25
2025-09-07T06:18:29.6290380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-112x37-m
2025-09-07T06:18:29.6291190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+25
2025-09-07T06:18:29.6292020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1720
2025-09-07T06:18:29.6292730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470
2025-09-07T06:18:29.6293670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-s
2025-09-07T06:18:29.6294510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix-s
2025-09-07T06:18:29.6295290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decpro
2025-09-07T06:18:29.6296100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d210
2025-09-07T06:18:29.6296870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/datagraphix
2025-09-07T06:18:29.6298280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216-dg
2025-09-07T06:18:29.6299120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-sr
2025-09-07T06:18:29.6300020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-80x25-m
2025-09-07T06:18:29.6300760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-7b-w
2025-09-07T06:18:29.6301640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-ccc
2025-09-07T06:18:29.6302550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-sr
2025-09-07T06:18:29.6303400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt340
2025-09-07T06:18:29.6304190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmdt80w
2025-09-07T06:18:29.6305060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dumb-emacs-ansi
2025-09-07T06:18:29.6305790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm80w
2025-09-07T06:18:29.6306570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577-dg
2025-09-07T06:18:29.6307330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+11
2025-09-07T06:18:29.6308170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/datamedia2500
2025-09-07T06:18:29.6308960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dtc382
2025-09-07T06:18:29.6309710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-w
2025-09-07T06:18:29.6310610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7102-old
2025-09-07T06:18:29.6311470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m
2025-09-07T06:18:29.6312250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216-unix
2025-09-07T06:18:29.6313160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-dg
2025-09-07T06:18:29.6314010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-7b-w
2025-09-07T06:18:29.6314890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-s
2025-09-07T06:18:29.6315820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-sr
2025-09-07T06:18:29.6316570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+color8
2025-09-07T06:18:29.6317300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/djgpp
2025-09-07T06:18:29.6318130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-112x37
2025-09-07T06:18:29.6318980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e-dg
2025-09-07T06:18:29.6319830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-25
2025-09-07T06:18:29.6320550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ddr3180
2025-09-07T06:18:29.6321420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+7b
2025-09-07T06:18:29.6322250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-dg
2025-09-07T06:18:29.6323000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-dg-ccc
2025-09-07T06:18:29.6323920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-sr-ccc
2025-09-07T06:18:29.6324610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d400
2025-09-07T06:18:29.6325570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-dg
2025-09-07T06:18:29.6326310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+sr
2025-09-07T06:18:29.6327170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-b
2025-09-07T06:18:29.6328050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-sr
2025-09-07T06:18:29.6328860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgmode+color8
2025-09-07T06:18:29.6329690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix
2025-09-07T06:18:29.6330510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt110
2025-09-07T06:18:29.6331390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-ccc
2025-09-07T06:18:29.6332150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg-ansi
2025-09-07T06:18:29.6332990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+fixed
2025-09-07T06:18:29.6333780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd
2025-09-07T06:18:29.6334550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt-100w
2025-09-07T06:18:29.6335380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1640
2025-09-07T06:18:29.6336220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x40
2025-09-07T06:18:29.6336960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-dg
2025-09-07T06:18:29.6337860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dataspeed40
2025-09-07T06:18:29.6338730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+w
2025-09-07T06:18:29.6339540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dd5000
2025-09-07T06:18:29.6340410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt400
2025-09-07T06:18:29.6341230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dp3360
2025-09-07T06:18:29.6342060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg6053-old
2025-09-07T06:18:29.6342840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg210
2025-09-07T06:18:29.6343840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x64-m
2025-09-07T06:18:29.6344750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-s
2025-09-07T06:18:29.6345560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x48
2025-09-07T06:18:29.6346580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x64
2025-09-07T06:18:29.6347380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmterm
2025-09-07T06:18:29.6348150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+
2025-09-07T06:18:29.6348980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo-lm
2025-09-07T06:18:29.6349730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decansi
2025-09-07T06:18:29.6350730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-7b-w
2025-09-07T06:18:29.6351670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-w
2025-09-07T06:18:29.6352420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216+25
2025-09-07T06:18:29.6353300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m-b
2025-09-07T06:18:29.6354200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d217-unix
2025-09-07T06:18:29.6355020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d578-7b
2025-09-07T06:18:29.6355770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+sr
2025-09-07T06:18:29.6356620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ds40-2
2025-09-07T06:18:29.6357310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg211
2025-09-07T06:18:29.6358080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt80w
2025-09-07T06:18:29.6358940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-dg
2025-09-07T06:18:29.6363360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-w
2025-09-07T06:18:29.6363510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-w
2025-09-07T06:18:29.6363640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d230c-dg
2025-09-07T06:18:29.6363760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d80
2025-09-07T06:18:29.6363870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw3
2025-09-07T06:18:29.6364020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-90x30
2025-09-07T06:18:29.6364350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt-100
2025-09-07T06:18:29.6365030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+ccc
2025-09-07T06:18:29.6365690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw4
2025-09-07T06:18:29.6366460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dwk-vt
2025-09-07T06:18:29.6367150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-dg
2025-09-07T06:18:29.6368020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-90x30-m
2025-09-07T06:18:29.6368770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgunix+fixed
2025-09-07T06:18:29.6369490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dialogue
2025-09-07T06:18:29.6370310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555-dg
2025-09-07T06:18:29.6370990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg450
2025-09-07T06:18:29.6371770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555
2025-09-07T06:18:29.6372480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470-dg
2025-09-07T06:18:29.6373200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm3045
2025-09-07T06:18:29.6373980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm1520
2025-09-07T06:18:29.6374780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decwriter
2025-09-07T06:18:29.6375720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-100x37
2025-09-07T06:18:29.6376480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-80x30
2025-09-07T06:18:29.6377160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-w
2025-09-07T06:18:29.6377910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm2500
2025-09-07T06:18:29.6378700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix
2025-09-07T06:18:29.6379400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d215-7b
2025-09-07T06:18:29.6380100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216+
2025-09-07T06:18:29.6380900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470c-7b
2025-09-07T06:18:29.6381740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1620-m8
2025-09-07T06:18:29.6382480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt80-sas
2025-09-07T06:18:29.6383210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+w
2025-09-07T06:18:29.6383920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d450-dg
2025-09-07T06:18:29.6384700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-sr
2025-09-07T06:18:29.6385460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x75
2025-09-07T06:18:29.6386300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-256x96
2025-09-07T06:18:29.6387170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw2
2025-09-07T06:18:29.6388050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg605x
2025-09-07T06:18:29.6388840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-200x75-m
2025-09-07T06:18:29.6389580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgmode+color
2025-09-07T06:18:29.6390320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d2-dg
2025-09-07T06:18:29.6391280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-dg
2025-09-07T06:18:29.6391940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd1
2025-09-07T06:18:29.6392690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dm1521
2025-09-07T06:18:29.6393530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-25-ccc
2025-09-07T06:18:29.6394280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dwk
2025-09-07T06:18:29.6394980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg6053
2025-09-07T06:18:29.6395800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-128x40-m
2025-09-07T06:18:29.6396640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo
2025-09-07T06:18:29.6397490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d211-7b
2025-09-07T06:18:29.6398210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg200
2025-09-07T06:18:29.6398960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg+color
2025-09-07T06:18:29.6399760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix-25
2025-09-07T06:18:29.6400430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dtterm
2025-09-07T06:18:29.6401230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-160x64
2025-09-07T06:18:29.6402050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dvtm-256color
2025-09-07T06:18:29.6402710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dp8242
2025-09-07T06:18:29.6403510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d400-dg
2025-09-07T06:18:29.6404230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410
2025-09-07T06:18:29.6405100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-sr
2025-09-07T06:18:29.6405840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1740
2025-09-07T06:18:29.6406680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-100x37-m
2025-09-07T06:18:29.6407480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-s
2025-09-07T06:18:29.6408250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-dg
2025-09-07T06:18:29.6408950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216+dg
2025-09-07T06:18:29.6409670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d215
2025-09-07T06:18:29.6410600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-25
2025-09-07T06:18:29.6411320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt100
2025-09-07T06:18:29.6412090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix
2025-09-07T06:18:29.6412740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec+pp
2025-09-07T06:18:29.6413580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-s
2025-09-07T06:18:29.6414280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411
2025-09-07T06:18:29.6415090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix
2025-09-07T06:18:29.6415900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1640-m8
2025-09-07T06:18:29.6416510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d2
2025-09-07T06:18:29.6417120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e+
2025-09-07T06:18:29.6417870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dw
2025-09-07T06:18:29.6418340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-dg
2025-09-07T06:18:29.6419010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dvtm
2025-09-07T06:18:29.6419840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-dg
2025-09-07T06:18:29.6420660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec+sl
2025-09-07T06:18:29.6421450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7202
2025-09-07T06:18:29.6422370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-256x96-m
2025-09-07T06:18:29.6423270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555-w
2025-09-07T06:18:29.6424120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-w
2025-09-07T06:18:29.6424800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d413-unix-w
2025-09-07T06:18:29.6425590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix-w
2025-09-07T06:18:29.6426560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgunix+ccc
2025-09-07T06:18:29.6427280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d220-7b
2025-09-07T06:18:29.6428060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dec-vt100
2025-09-07T06:18:29.6428880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d214
2025-09-07T06:18:29.6429720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo630
2025-09-07T06:18:29.6430580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix
2025-09-07T06:18:29.6431370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d800
2025-09-07T06:18:29.6432250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dt100w
2025-09-07T06:18:29.6433070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e+dg
2025-09-07T06:18:29.6433760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460
2025-09-07T06:18:29.6434560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1730
2025-09-07T06:18:29.6435330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d200
2025-09-07T06:18:29.6436010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ddr
2025-09-07T06:18:29.6436860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d463-unix-sr
2025-09-07T06:18:29.6437760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-w
2025-09-07T06:18:29.6438600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-f2
2025-09-07T06:18:29.6439660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin
2025-09-07T06:18:29.6440200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470c-dg
2025-09-07T06:18:29.6440900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462+dg
2025-09-07T06:18:29.6441720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/djgpp203
2025-09-07T06:18:29.6442620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/djgpp204
2025-09-07T06:18:29.6443470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d211-dg
2025-09-07T06:18:29.6444250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg6134
2025-09-07T06:18:29.6444980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d411-7b
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2025-09-07T06:18:29.6452330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d460-7b
2025-09-07T06:18:29.6453100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg100
2025-09-07T06:18:29.6453970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461
2025-09-07T06:18:29.6454880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1640-lm
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2025-09-07T06:18:29.6456530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-144x48
2025-09-07T06:18:29.6457240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d215-dg
2025-09-07T06:18:29.6457910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dgkeys+8b
2025-09-07T06:18:29.6458550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo450
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2025-09-07T06:18:29.6460800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/domterm
2025-09-07T06:18:29.6461230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d470c
2025-09-07T06:18:29.6461880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix
2025-09-07T06:18:29.6462500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d555-7b
2025-09-07T06:18:29.6463140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d216e-unix
2025-09-07T06:18:29.6463830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-80x25
2025-09-07T06:18:29.6464420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d461-7b
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2025-09-07T06:18:29.6467160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-160x64-m
2025-09-07T06:18:29.6467720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d578
2025-09-07T06:18:29.6468350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d230-dg
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2025-09-07T06:18:29.6469630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dg460-ansi
2025-09-07T06:18:29.6470310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d464-unix-w
2025-09-07T06:18:29.6470880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/ds40
2025-09-07T06:18:29.6471500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+dg
2025-09-07T06:18:29.6472120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d214-dg
2025-09-07T06:18:29.6472750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d220-dg
2025-09-07T06:18:29.6473460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1740-lm
2025-09-07T06:18:29.6474060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412+s
2025-09-07T06:18:29.6474710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/decid+cpr
2025-09-07T06:18:29.6475320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dmd-24
2025-09-07T06:18:29.6476010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m-f2
2025-09-07T06:18:29.6476730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430c-unix-s-ccc
2025-09-07T06:18:29.6477380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d414-unix-s
2025-09-07T06:18:29.6478030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/diablo1620
2025-09-07T06:18:29.6478640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d200-dg
2025-09-07T06:18:29.6479240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d577
2025-09-07T06:18:29.6479940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix-sr
2025-09-07T06:18:29.6480530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d210-dg
2025-09-07T06:18:29.6481250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d430-unix-s
2025-09-07T06:18:29.6481880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/darwin-m-f
2025-09-07T06:18:29.6482590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d412-unix-25
2025-09-07T06:18:29.6483220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d410-7b
2025-09-07T06:18:29.6483840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/d462-unix
2025-09-07T06:18:29.6484460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/64/dku7102
2025-09-07T06:18:29.6485190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/41/Apple_Terminal
2025-09-07T06:18:29.6485850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-42
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2025-09-07T06:18:29.6487300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-48wpc
2025-09-07T06:18:29.6487960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt-25
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2025-09-07T06:18:29.6489200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-w
2025-09-07T06:18:29.6489860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-25-w
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2025-09-07T06:18:29.6493100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-42-w
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2025-09-07T06:18:29.6494990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse150-25
2025-09-07T06:18:29.6495630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-w
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2025-09-07T06:18:29.6496900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120-25
2025-09-07T06:18:29.6497670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt-wvb
2025-09-07T06:18:29.6498300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-43
2025-09-07T06:18:29.6498920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75ap
2025-09-07T06:18:29.6499580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-w-vb
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2025-09-07T06:18:29.6500800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy30-mc
2025-09-07T06:18:29.6501420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-vb
2025-09-07T06:18:29.6502100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-36pc
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2025-09-07T06:18:29.6503420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-316X
2025-09-07T06:18:29.6504080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc-vb
2025-09-07T06:18:29.6504720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-25
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2025-09-07T06:18:29.6507210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse370
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2025-09-07T06:18:29.6508470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse85-vb
2025-09-07T06:18:29.6509150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350-w
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2025-09-07T06:18:29.6510980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-w
2025-09-07T06:18:29.6511610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy350
2025-09-07T06:18:29.6512220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120
2025-09-07T06:18:29.6512830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50
2025-09-07T06:18:29.6513480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325w-24
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2025-09-07T06:18:29.6514810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-wvb
2025-09-07T06:18:29.6515410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520
2025-09-07T06:18:29.6516110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75-wvb
2025-09-07T06:18:29.6516690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy75-vb
2025-09-07T06:18:29.6517370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt-25-w
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2025-09-07T06:18:29.6518680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-43wvb
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2025-09-07T06:18:29.6519940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse150-w
2025-09-07T06:18:29.6520550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy50-mc
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2025-09-07T06:18:29.6521810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325
2025-09-07T06:18:29.6522500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-wvb
2025-09-07T06:18:29.6523180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-epc
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2025-09-07T06:18:29.6526330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wsvt25
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2025-09-07T06:18:29.6528230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse150
2025-09-07T06:18:29.6528900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-43
2025-09-07T06:18:29.6529490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wrenw
2025-09-07T06:18:29.6530200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-42w-vb
2025-09-07T06:18:29.6530770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75
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2025-09-07T06:18:29.6532060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-wvb
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2025-09-07T06:18:29.6535220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wezterm
2025-09-07T06:18:29.6535890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-42
2025-09-07T06:18:29.6536570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt-w
2025-09-07T06:18:29.6537190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-316X
2025-09-07T06:18:29.6537820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160
2025-09-07T06:18:29.6538480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-vb
2025-09-07T06:18:29.6539060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wsvt25m
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2025-09-07T06:18:29.6540390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-43w-vb
2025-09-07T06:18:29.6541010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy-99fgt
2025-09-07T06:18:29.6541700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc-wvb
2025-09-07T06:18:29.6542360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-vb
2025-09-07T06:18:29.6542930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy50
2025-09-07T06:18:29.6543590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-25
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2025-09-07T06:18:29.6544850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-PC
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2025-09-07T06:18:29.6548040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt-w
2025-09-07T06:18:29.6548670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-42
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2025-09-07T06:18:29.6550590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99fa
2025-09-07T06:18:29.6551170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wren
2025-09-07T06:18:29.6551850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse150-vb
2025-09-07T06:18:29.6552520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc-24
2025-09-07T06:18:29.6553140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-wvb
2025-09-07T06:18:29.6553760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy100q
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2025-09-07T06:18:29.6555070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse-75ap
2025-09-07T06:18:29.6555660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60
2025-09-07T06:18:29.6556300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc
2025-09-07T06:18:29.6557020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt-vb
2025-09-07T06:18:29.6557610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-43
2025-09-07T06:18:29.6558300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-36pc
2025-09-07T06:18:29.6558970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-36wpc
2025-09-07T06:18:29.6559560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wsiris
2025-09-07T06:18:29.6560230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120-w-vb
2025-09-07T06:18:29.6560900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-wvb
2025-09-07T06:18:29.6561510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-vb
2025-09-07T06:18:29.6562140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy-75ap
2025-09-07T06:18:29.6562760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50-w
2025-09-07T06:18:29.6563420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-42
2025-09-07T06:18:29.6564040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy350-vb
2025-09-07T06:18:29.6564750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75-w
2025-09-07T06:18:29.6565290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt
2025-09-07T06:18:29.6565870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85
2025-09-07T06:18:29.6566530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-48
2025-09-07T06:18:29.6567200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse85-8bit
2025-09-07T06:18:29.6567870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse150-w-vb
2025-09-07T06:18:29.6568500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-48pc
2025-09-07T06:18:29.6569160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99gt-tek
2025-09-07T06:18:29.6569820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-42-w
2025-09-07T06:18:29.6570450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99-ansi
2025-09-07T06:18:29.6571130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-wvb
2025-09-07T06:18:29.6571780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-vb
2025-09-07T06:18:29.6572400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-25
2025-09-07T06:18:29.6573030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse-325
2025-09-07T06:18:29.6573650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy185-wvb
2025-09-07T06:18:29.6574310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-43w
2025-09-07T06:18:29.6574920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-PC
2025-09-07T06:18:29.6575550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy185-vb
2025-09-07T06:18:29.6576200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy350-wvb
2025-09-07T06:18:29.6576850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-105k
2025-09-07T06:18:29.6577470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-24
2025-09-07T06:18:29.6578130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-43
2025-09-07T06:18:29.6578820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-25w
2025-09-07T06:18:29.6579490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-25-w
2025-09-07T06:18:29.6580060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150
2025-09-07T06:18:29.6580770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-pc-24
2025-09-07T06:18:29.6581440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-25-w
2025-09-07T06:18:29.6582080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-48
2025-09-07T06:18:29.6582710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-nk
2025-09-07T06:18:29.6583330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy185-w
2025-09-07T06:18:29.6583990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-24
2025-09-07T06:18:29.6584600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-43
2025-09-07T06:18:29.6585210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99f
2025-09-07T06:18:29.6585830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99fgt
2025-09-07T06:18:29.6586490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse185-vb
2025-09-07T06:18:29.6587090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85-w
2025-09-07T06:18:29.6587750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-43-w
2025-09-07T06:18:29.6588430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-wvb
2025-09-07T06:18:29.6589010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160
2025-09-07T06:18:29.6589670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-vb
2025-09-07T06:18:29.6590370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-36wpc
2025-09-07T06:18:29.6591000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150-25-w
2025-09-07T06:18:29.6591670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99a-ansi
2025-09-07T06:18:29.6592550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse30
2025-09-07T06:18:29.6593160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-w-vb
2025-09-07T06:18:29.6593810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350-vb
2025-09-07T06:18:29.6594440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse185
2025-09-07T06:18:29.6595080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-42
2025-09-07T06:18:29.6595700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy50-w
2025-09-07T06:18:29.6596370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-vb
2025-09-07T06:18:29.6597060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-p-wvb
2025-09-07T06:18:29.6597720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse185-24
2025-09-07T06:18:29.6598370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120-25-w
2025-09-07T06:18:29.6599010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-wvb
2025-09-07T06:18:29.6599690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-36
2025-09-07T06:18:29.6600380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75-vb
2025-09-07T06:18:29.6601050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350
2025-09-07T06:18:29.6601620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120
2025-09-07T06:18:29.6602230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy75-w
2025-09-07T06:18:29.6602910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-pc-vb
2025-09-07T06:18:29.6603580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-48wpc
2025-09-07T06:18:29.6604230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse120-w
2025-09-07T06:18:29.6604880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-epc-w
2025-09-07T06:18:29.6605490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150-w
2025-09-07T06:18:29.6606140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50-mc
2025-09-07T06:18:29.6606770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt
2025-09-07T06:18:29.6607440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50-wvb
2025-09-07T06:18:29.6608090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-25
2025-09-07T06:18:29.6608680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370
2025-09-07T06:18:29.6609360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-43-w
2025-09-07T06:18:29.6610010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-tek
2025-09-07T06:18:29.6610620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-AT
2025-09-07T06:18:29.6611270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-wvb
2025-09-07T06:18:29.6611930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse85-wvb
2025-09-07T06:18:29.6612600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse150-25-w
2025-09-07T06:18:29.6613210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85-vb
2025-09-07T06:18:29.6613840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy350-w
2025-09-07T06:18:29.6614490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-42-w
2025-09-07T06:18:29.6615110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85-8bit
2025-09-07T06:18:29.6615720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325
2025-09-07T06:18:29.6616340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse85
2025-09-07T06:18:29.6617000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-25w
2025-09-07T06:18:29.6617640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse160-w
2025-09-07T06:18:29.6618230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520
2025-09-07T06:18:29.6618890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse30-vb
2025-09-07T06:18:29.6619560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse350-wvb
2025-09-07T06:18:29.6620290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse185-wvb
2025-09-07T06:18:29.6620880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse325-43w
2025-09-07T06:18:29.6621530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-43
2025-09-07T06:18:29.6622160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy85-wvb
2025-09-07T06:18:29.6622810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy120-wvb
2025-09-07T06:18:29.6623440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse30-mc
2025-09-07T06:18:29.6624070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse85-w
2025-09-07T06:18:29.6624730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse60-vb
2025-09-07T06:18:29.6625400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-101k
2025-09-07T06:18:29.6626030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse+sl
2025-09-07T06:18:29.6626680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy99fgta
2025-09-07T06:18:29.6627380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse-vp
2025-09-07T06:18:29.6627880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy30
2025-09-07T06:18:29.6628590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-48pc
2025-09-07T06:18:29.6629190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-36
2025-09-07T06:18:29.6629850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy150-w-vb
2025-09-07T06:18:29.6630470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy185-24
2025-09-07T06:18:29.6631110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy60-42
2025-09-07T06:18:29.6631750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-tek
2025-09-07T06:18:29.6632400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse520-w
2025-09-07T06:18:29.6633040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse75-mc
2025-09-07T06:18:29.6633670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy520-vb
2025-09-07T06:18:29.6634310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-25
2025-09-07T06:18:29.6634950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy50-wvb
2025-09-07T06:18:29.6635570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-rv
2025-09-07T06:18:29.6636230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse50-vb
2025-09-07T06:18:29.6636870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy-99fgta
2025-09-07T06:18:29.6637560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wyse99gt-25-w
2025-09-07T06:18:29.6638160Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy325-w
2025-09-07T06:18:29.6638810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy370-EPC
2025-09-07T06:18:29.6639460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/77/wy160-25-w
2025-09-07T06:18:29.6640070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt25
2025-09-07T06:18:29.6640680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon0
2025-09-07T06:18:29.6641290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt210
2025-09-07T06:18:29.6641930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3-bold
2025-09-07T06:18:29.6642490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p4
2025-09-07T06:18:29.6643140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14-m
2025-09-07T06:18:29.6643790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9-w
2025-09-07T06:18:29.6644460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-43-m
2025-09-07T06:18:29.6645120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+keypad
2025-09-07T06:18:29.6645730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt40
2025-09-07T06:18:29.6646320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14-w
2025-09-07T06:18:29.6646940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14-m
2025-09-07T06:18:29.6647540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt200w
2025-09-07T06:18:29.6648230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14-w
2025-09-07T06:18:29.6648810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccons
2025-09-07T06:18:29.6649480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9-8-w
2025-09-07T06:18:29.6650110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pmconsole
2025-09-07T06:18:29.6650700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvtXX
2025-09-07T06:18:29.6651280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p5
2025-09-07T06:18:29.6651970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-vt100
2025-09-07T06:18:29.6652530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p19
2025-09-07T06:18:29.6653150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty
2025-09-07T06:18:29.6653750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9-8-w
2025-09-07T06:18:29.6654430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc6300plus
2025-09-07T06:18:29.6655130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-96x48
2025-09-07T06:18:29.6655750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcconsole
2025-09-07T06:18:29.6656340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pro350
2025-09-07T06:18:29.6657060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pckermit12
2025-09-07T06:18:29.6657690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi25
2025-09-07T06:18:29.6658270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9-8
2025-09-07T06:18:29.6659050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+xterm
2025-09-07T06:18:29.6659650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc-venix
2025-09-07T06:18:29.6660360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-basic
2025-09-07T06:18:29.6660970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pckermit
2025-09-07T06:18:29.6661700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+sgr+acs0
2025-09-07T06:18:29.6662310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-43
2025-09-07T06:18:29.6662900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pty
2025-09-07T06:18:29.6663500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt505
2025-09-07T06:18:29.6664120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon
2025-09-07T06:18:29.6664720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism7
2025-09-07T06:18:29.6665360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc-minix
2025-09-07T06:18:29.6665990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9
2025-09-07T06:18:29.6666680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pckermit120
2025-09-07T06:18:29.6667270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt50w
2025-09-07T06:18:29.6667910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism8
2025-09-07T06:18:29.6668580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-fast
2025-09-07T06:18:29.6669190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/printer
2025-09-07T06:18:29.6669790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe1251
2025-09-07T06:18:29.6670440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-33
2025-09-07T06:18:29.6671060Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt35w
2025-09-07T06:18:29.6671830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+vt400
2025-09-07T06:18:29.6672480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-25-m
2025-09-07T06:18:29.6673150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14-m-w
2025-09-07T06:18:29.6673720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p8-w
2025-09-07T06:18:29.6674370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-m
2025-09-07T06:18:29.6674950Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p8gl
2025-09-07T06:18:29.6675680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+sgr+acs
2025-09-07T06:18:29.6676270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-m1
2025-09-07T06:18:29.6676960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+cursor
2025-09-07T06:18:29.6677650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys
2025-09-07T06:18:29.6678330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-256color
2025-09-07T06:18:29.6679000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-90x28
2025-09-07T06:18:29.6679710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-mono
2025-09-07T06:18:29.6680250Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt250
2025-09-07T06:18:29.6680870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe6100
2025-09-07T06:18:29.6681540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12-m-w
2025-09-07T06:18:29.6682150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcz19
2025-09-07T06:18:29.6682820Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism9-8
2025-09-07T06:18:29.6683380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm
2025-09-07T06:18:29.6684150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+vt100
2025-09-07T06:18:29.6684720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12-m
2025-09-07T06:18:29.6685300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p7
2025-09-07T06:18:29.6685910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt43
2025-09-07T06:18:29.6686480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9
2025-09-07T06:18:29.6687130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12-w
2025-09-07T06:18:29.6687760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt40w
2025-09-07T06:18:29.6688370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt28
2025-09-07T06:18:29.6689000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe1100
2025-09-07T06:18:29.6689680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc-coherent
2025-09-07T06:18:29.6690260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe550
2025-09-07T06:18:29.6690840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p8
2025-09-07T06:18:29.6691470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12-m-w
2025-09-07T06:18:29.6692040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3
2025-09-07T06:18:29.6692640Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcmw
2025-09-07T06:18:29.6693280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt43w
2025-09-07T06:18:29.6693910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12-m
2025-09-07T06:18:29.6694510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12-w
2025-09-07T06:18:29.6695120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3r-m
2025-09-07T06:18:29.6695750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt25w
2025-09-07T06:18:29.6696360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe6312
2025-09-07T06:18:29.6697010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-sco
2025-09-07T06:18:29.6697740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+esc
2025-09-07T06:18:29.6698310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p9-w
2025-09-07T06:18:29.6698900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc3r
2025-09-07T06:18:29.6699540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism12
2025-09-07T06:18:29.6700170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe7000m
2025-09-07T06:18:29.6700810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-m1b
2025-09-07T06:18:29.6701400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi
2025-09-07T06:18:29.6702030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe7000c
2025-09-07T06:18:29.6702720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt25-color
2025-09-07T06:18:29.6703370Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi43
2025-09-07T06:18:29.6703920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14
2025-09-07T06:18:29.6704550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p14-m-w
2025-09-07T06:18:29.6705180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism14
2025-09-07T06:18:29.6705860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-noapp
2025-09-07T06:18:29.6706450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pilot
2025-09-07T06:18:29.6707030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/p12
2025-09-07T06:18:29.6707730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+colors
2025-09-07T06:18:29.6708490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+linux
2025-09-07T06:18:29.6709100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi25m
2025-09-07T06:18:29.6709750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psx_ansi
2025-09-07T06:18:29.6710390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-25
2025-09-07T06:18:29.6710980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt100
2025-09-07T06:18:29.6711570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/ps300
2025-09-07T06:18:29.6712190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe1200
2025-09-07T06:18:29.6712810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt250w
2025-09-07T06:18:29.6713450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism8gl
2025-09-07T06:18:29.6714080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi33
2025-09-07T06:18:29.6714680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism4
2025-09-07T06:18:29.6715320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt505-24
2025-09-07T06:18:29.6715970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism8-w
2025-09-07T06:18:29.6716570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcplot
2025-09-07T06:18:29.6717310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+fnkeys+sco
2025-09-07T06:18:29.6717970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-screen
2025-09-07T06:18:29.6718610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+keys
2025-09-07T06:18:29.6719220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism5
2025-09-07T06:18:29.6719850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt505-22
2025-09-07T06:18:29.6720470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/prism2
2025-09-07T06:18:29.6721100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty-m2
2025-09-07T06:18:29.6721710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pc7300
2025-09-07T06:18:29.6722600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/psterm-80x24
2025-09-07T06:18:29.6723260Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon+base
2025-09-07T06:18:29.6723910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi33m
2025-09-07T06:18:29.6724520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon-m
2025-09-07T06:18:29.6725140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt100w
2025-09-07T06:18:29.6725740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pe6300
2025-09-07T06:18:29.6726350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pt200
2025-09-07T06:18:29.6730490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt35
2025-09-07T06:18:29.6730770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt28w
2025-09-07T06:18:29.6730890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pmcons
2025-09-07T06:18:29.6732880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcix
2025-09-07T06:18:29.6733010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pccon0-m
2025-09-07T06:18:29.6733380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcvt50
2025-09-07T06:18:29.6733580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/pcansi-33-m
2025-09-07T06:18:29.6733800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/70/putty+screen
2025-09-07T06:18:29.6733920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qdcons
2025-09-07T06:18:29.6734040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203
2025-09-07T06:18:29.6734170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p-25
2025-09-07T06:18:29.6734300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+-25-w
2025-09-07T06:18:29.6734670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p-25-w
2025-09-07T06:18:29.6735100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxt
2025-09-07T06:18:29.6735770Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-25
2025-09-07T06:18:29.6736390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119
2025-09-07T06:18:29.6736970Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnx
2025-09-07T06:18:29.6737580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxt4
2025-09-07T06:18:29.6738230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt103
2025-09-07T06:18:29.6738840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119-w
2025-09-07T06:18:29.6739600Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p
2025-09-07T06:18:29.6740150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-g
2025-09-07T06:18:29.6740830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-25-w
2025-09-07T06:18:29.6741590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+-w
2025-09-07T06:18:29.6742090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt102
2025-09-07T06:18:29.6742730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-t
2025-09-07T06:18:29.6743440Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxt2
2025-09-07T06:18:29.6743990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-w
2025-09-07T06:18:29.6744710Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt101p
2025-09-07T06:18:29.6745280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxtmono
2025-09-07T06:18:29.6746110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt103-w
2025-09-07T06:18:29.6746700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+-25
2025-09-07T06:18:29.6747390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qume
2025-09-07T06:18:29.6748000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203-w-am
2025-09-07T06:18:29.6748570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxw
2025-09-07T06:18:29.6749270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnx4
2025-09-07T06:18:29.6749860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119p-w
2025-09-07T06:18:29.6750420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qnxm
2025-09-07T06:18:29.6751170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-m
2025-09-07T06:18:29.6751700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qdss
2025-09-07T06:18:29.6752330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi-w
2025-09-07T06:18:29.6753030Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt101
2025-09-07T06:18:29.6753580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119+
2025-09-07T06:18:29.6754230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt108
2025-09-07T06:18:29.6754910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qume5
2025-09-07T06:18:29.6755460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qansi
2025-09-07T06:18:29.6756080Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt101+
2025-09-07T06:18:29.6756810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt203+
2025-09-07T06:18:29.6757420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/71/qvt119-25-w
2025-09-07T06:18:29.6757990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt61
2025-09-07T06:18:29.6758690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt330
2025-09-07T06:18:29.6759300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102
2025-09-07T06:18:29.6759930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt50
2025-09-07T06:18:29.6760460Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vp60
2025-09-07T06:18:29.6761130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-putty
2025-09-07T06:18:29.6761860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-8
2025-09-07T06:18:29.6762480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nav-w
2025-09-07T06:18:29.6763050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300
2025-09-07T06:18:29.6763750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt132
2025-09-07T06:18:29.6764280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc403a
2025-09-07T06:18:29.6765100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+pcedit
2025-09-07T06:18:29.6765580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-s
2025-09-07T06:18:29.6766220Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip
2025-09-07T06:18:29.6766980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-direct
2025-09-07T06:18:29.6767560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint90
2025-09-07T06:18:29.6768330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte+pcfkeys
2025-09-07T06:18:29.6768840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-nam
2025-09-07T06:18:29.6769550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vitty
2025-09-07T06:18:29.6770100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102-w
2025-09-07T06:18:29.6770850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/versaterm
2025-09-07T06:18:29.6771380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/visa50
2025-09-07T06:18:29.6772150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52+arrows
2025-09-07T06:18:29.6772660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vp3a+
2025-09-07T06:18:29.6773320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewdata
2025-09-07T06:18:29.6774070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2014
2025-09-07T06:18:29.6774580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi550
2025-09-07T06:18:29.6775340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102-nsgr
2025-09-07T06:18:29.6775920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-old
2025-09-07T06:18:29.6776510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt-61
2025-09-07T06:18:29.6777270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-k311
2025-09-07T06:18:29.6777810Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+
2025-09-07T06:18:29.6778590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+keypad
2025-09-07T06:18:29.6779100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vtnt
2025-09-07T06:18:29.6779850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+4bsd
2025-09-07T06:18:29.6780420Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewdata-o
2025-09-07T06:18:29.6781050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt61.5
2025-09-07T06:18:29.6781780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt510pc
2025-09-07T06:18:29.6782300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc203
2025-09-07T06:18:29.6782920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v200-nam
2025-09-07T06:18:29.6783630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220
2025-09-07T06:18:29.6784200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-k3
2025-09-07T06:18:29.6784930Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100nam
2025-09-07T06:18:29.6785510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2012
2025-09-07T06:18:29.6786190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi300
2025-09-07T06:18:29.6786780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vapple
2025-09-07T06:18:29.6787340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip-H
2025-09-07T06:18:29.6787990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2008
2025-09-07T06:18:29.6788700Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc415
2025-09-07T06:18:29.6789240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt400
2025-09-07T06:18:29.6789860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-vb
2025-09-07T06:18:29.6790660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+vtedit
2025-09-07T06:18:29.6791230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-nam
2025-09-07T06:18:29.6791980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+noapp
2025-09-07T06:18:29.6792490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v320n
2025-09-07T06:18:29.6793110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vv100
2025-09-07T06:18:29.6793870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+enq
2025-09-07T06:18:29.6794430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-w
2025-09-07T06:18:29.6795170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt102+enq
2025-09-07T06:18:29.6795670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2007
2025-09-07T06:18:29.6796510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-s-top
2025-09-07T06:18:29.6797180Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc414
2025-09-07T06:18:29.6797920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-w
2025-09-07T06:18:29.6798490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52-basic
2025-09-07T06:18:29.6799130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vk100
2025-09-07T06:18:29.6799850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-8bit
2025-09-07T06:18:29.6800400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt520
2025-09-07T06:18:29.6801000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt340
2025-09-07T06:18:29.6801660Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vs100-x10
2025-09-07T06:18:29.6802320Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nam-w
2025-09-07T06:18:29.6803020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+noapp+pc
2025-09-07T06:18:29.6803630Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi55
2025-09-07T06:18:29.6804340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi603
2025-09-07T06:18:29.6804880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vwmterm
2025-09-07T06:18:29.6805550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420pcdos
2025-09-07T06:18:29.6806350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-js
2025-09-07T06:18:29.6806790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vs100
2025-09-07T06:18:29.6807450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt520ansi
2025-09-07T06:18:29.6808170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt510
2025-09-07T06:18:29.6808720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-js
2025-09-07T06:18:29.6809400Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-256color
2025-09-07T06:18:29.6810170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip7800-w
2025-09-07T06:18:29.6810730Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+cvis
2025-09-07T06:18:29.6811310Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc103
2025-09-07T06:18:29.6812000Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-8bit
2025-09-07T06:18:29.6812610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi300-old
2025-09-07T06:18:29.6813360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200-w
2025-09-07T06:18:29.6813850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vp90
2025-09-07T06:18:29.6814530Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+fnkeys
2025-09-07T06:18:29.6815280Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi200-f
2025-09-07T06:18:29.6815780Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420f
2025-09-07T06:18:29.6816550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt400-24
2025-09-07T06:18:29.6817070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300-w
2025-09-07T06:18:29.6817750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/visual603
2025-09-07T06:18:29.6818350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w
2025-09-07T06:18:29.6819050Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint60
2025-09-07T06:18:29.6819720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52
2025-09-07T06:18:29.6820270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt131
2025-09-07T06:18:29.6820860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt50h
2025-09-07T06:18:29.6821470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100
2025-09-07T06:18:29.6822150Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/venix
2025-09-07T06:18:29.6822860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2017
2025-09-07T06:18:29.6823450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip7800-Hw
2025-09-07T06:18:29.6824040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc404
2025-09-07T06:18:29.6824740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420
2025-09-07T06:18:29.6825360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w-nav
2025-09-07T06:18:29.6825910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte
2025-09-07T06:18:29.6826620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v3220
2025-09-07T06:18:29.6827210Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-bot-s
2025-09-07T06:18:29.6828010Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w-nam
2025-09-07T06:18:29.6828490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi500
2025-09-07T06:18:29.6829120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc414h
2025-09-07T06:18:29.6829890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt52+keypad
2025-09-07T06:18:29.6830430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vte-2018
2025-09-07T06:18:29.6831110Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420+lrmm
2025-09-07T06:18:29.6831900Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+pfkeys
2025-09-07T06:18:29.6832480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt510pcdos
2025-09-07T06:18:29.6833070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vremote
2025-09-07T06:18:29.6833850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-top-s
2025-09-07T06:18:29.6834430Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewdata-rv
2025-09-07T06:18:29.6835040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip-w
2025-09-07T06:18:29.6835800Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nav
2025-09-07T06:18:29.6836340Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-base
2025-09-07T06:18:29.6837120Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300-w-nam
2025-09-07T06:18:29.6837740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint3a+
2025-09-07T06:18:29.6838360Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-nam
2025-09-07T06:18:29.6838990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-bm-o
2025-09-07T06:18:29.6839650Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi50adm
2025-09-07T06:18:29.6840410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt300-nam
2025-09-07T06:18:29.6840940Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt200
2025-09-07T06:18:29.6841550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220d
2025-09-07T06:18:29.6842230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vsc
2025-09-07T06:18:29.6842790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt420pc
2025-09-07T06:18:29.6843470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-8
2025-09-07T06:18:29.6844020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vanilla
2025-09-07T06:18:29.6844760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vscode
2025-09-07T06:18:29.6845300Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt125
2025-09-07T06:18:29.6845920Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip-Hw
2025-09-07T06:18:29.6846680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220-old
2025-09-07T06:18:29.6847200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/v5410
2025-09-07T06:18:29.6847880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100+keypad
2025-09-07T06:18:29.6848480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc303a
2025-09-07T06:18:29.6849130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-am
2025-09-07T06:18:29.6850020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-s-bot
2025-09-07T06:18:29.6850580Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320nam
2025-09-07T06:18:29.6851350Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-w-am
2025-09-07T06:18:29.6851830Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320
2025-09-07T06:18:29.6852560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc303
2025-09-07T06:18:29.6853070Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi50
2025-09-07T06:18:29.6853990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vip7800-H
2025-09-07T06:18:29.6854610Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/viewpoint
2025-09-07T06:18:29.6855230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vc404-s
2025-09-07T06:18:29.6855890Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt220+cvis8
2025-09-07T06:18:29.6856500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt-utf8
2025-09-07T06:18:29.6857100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi200
2025-09-07T06:18:29.6857750Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt100-bm
2025-09-07T06:18:29.6858450Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vscode-direct
2025-09-07T06:18:29.6859020Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt525
2025-09-07T06:18:29.6859670Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vi200-rv
2025-09-07T06:18:29.6860380Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/76/vt320-w-nam
2025-09-07T06:18:29.6861100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-256color
2025-09-07T06:18:29.6861720Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+r6f2
2025-09-07T06:18:29.6862410Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-112x37
2025-09-07T06:18:29.6863100Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+200x64
2025-09-07T06:18:29.6863790Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+x10mouse
2025-09-07T06:18:29.6864470Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+128x48
2025-09-07T06:18:29.6865130Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+osc104
2025-09-07T06:18:29.6865840Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-200x64-m
2025-09-07T06:18:29.6866490Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-color
2025-09-07T06:18:29.6867190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-16color
2025-09-07T06:18:29.6867880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xf86-v40
2025-09-07T06:18:29.6868540Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+128x40
2025-09-07T06:18:29.6869190Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-m-b
2025-09-07T06:18:29.6869910Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+direct256
2025-09-07T06:18:29.6870570Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+direct2
2025-09-07T06:18:29.6871240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+app+pc
2025-09-07T06:18:29.6871870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xgterm
2025-09-07T06:18:29.6872550Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+88color
2025-09-07T06:18:29.6873200Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+c
2025-09-07T06:18:29.6873860Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pce2
2025-09-07T06:18:29.6874560Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-200x64
2025-09-07T06:18:29.6875240Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-128x48
2025-09-07T06:18:29.6875870Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+app
2025-09-07T06:18:29.6876510Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-8bit
2025-09-07T06:18:29.6877140Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xerox820
2025-09-07T06:18:29.6877740Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x1750
2025-09-07T06:18:29.6878480Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+112x37
2025-09-07T06:18:29.6879040Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xtermm
2025-09-07T06:18:29.6879680Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-xi
2025-09-07T06:18:29.6880330Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcc0
2025-09-07T06:18:29.6880960Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-f
2025-09-07T06:18:29.6881690Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-x11hilite
2025-09-07T06:18:29.6882270Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xtermc
2025-09-07T06:18:29.6882990Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-80x25-m
2025-09-07T06:18:29.6883620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcf2
2025-09-07T06:18:29.6884290Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+keypad
2025-09-07T06:18:29.6884880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm
2025-09-07T06:18:29.6885590Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-128x40
2025-09-07T06:18:29.6886230Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+noapp
2025-09-07T06:18:29.6886850Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc+b
2025-09-07T06:18:29.6887520Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-basic
2025-09-07T06:18:29.6888170Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+meta
2025-09-07T06:18:29.6888880Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+x11mouse
2025-09-07T06:18:29.6889500Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xnuppc-f2
2025-09-07T06:18:29.6890090Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x820
2025-09-07T06:18:29.6890760Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm+pcc1
2025-09-07T06:18:29.6891390Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm-r6
2025-09-07T06:18:29.6891980Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/x1720
2025-09-07T06:18:29.6892620Z /opt/homebrew/Caskroom/miniconda/base/share/terminfo/78/xterm.js
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2025-09-07T06:18:29.7004290Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/04_compress_easy_mt.c
2025-09-07T06:18:29.7005050Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/01_compress_easy.c
2025-09-07T06:18:29.7005760Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/02_decompress.c
2025-09-07T06:18:29.7006420Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/Makefile
2025-09-07T06:18:29.7007230Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/03_compress_custom.c
2025-09-07T06:18:29.7007930Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/00_README.txt
2025-09-07T06:18:29.7008660Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/examples/11_file_info.c
2025-09-07T06:18:29.7009240Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/COPYING.0BSD
2025-09-07T06:18:29.7009880Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/COPYING.GPLv2
2025-09-07T06:18:29.7010480Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/history.txt
2025-09-07T06:18:29.7011130Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/THANKS
2025-09-07T06:18:29.7011860Z /opt/homebrew/Caskroom/miniconda/base/share/doc/xz/xz-file-format.txt
2025-09-07T06:18:29.7012510Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/BINDINGS.md
2025-09-07T06:18:29.7013130Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/AUTHORS
2025-09-07T06:18:29.7013790Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/HACKING.md
2025-09-07T06:18:29.7014470Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/RELEASE-NOTES
2025-09-07T06:18:29.7015070Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/README
2025-09-07T06:18:29.7015700Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/COPYING
2025-09-07T06:18:29.7016300Z /opt/homebrew/Caskroom/miniconda/base/share/doc/libssh2/NEWS
2025-09-07T06:18:29.7017060Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_config.html
2025-09-07T06:18:29.7017790Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2compat.html
2025-09-07T06:18:29.7018690Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_depth_limit.html
2025-09-07T06:18:29.7019280Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2.html
2025-09-07T06:18:29.7020350Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_data_create_from_pattern.html
2025-09-07T06:18:29.7021020Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2unicode.html
2025-09-07T06:18:29.7021750Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2sample.html
2025-09-07T06:18:29.7022600Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_pattern_convert.html
2025-09-07T06:18:29.7023410Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_heap_limit.html
2025-09-07T06:18:29.7024330Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_substitute_callout.html
2025-09-07T06:18:29.7024950Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/index.html
2025-09-07T06:18:29.7025760Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_code_free.html
2025-09-07T06:18:29.7026690Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_converted_pattern_free.html
2025-09-07T06:18:29.7027640Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_length_bynumber.html
2025-09-07T06:18:29.7028420Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_data_free.html
2025-09-07T06:18:29.7029260Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_callout_enumerate.html
2025-09-07T06:18:29.7030070Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_free.html
2025-09-07T06:18:29.7030810Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2perform.html
2025-09-07T06:18:29.7031730Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_code_copy_with_tables.html
2025-09-07T06:18:29.7032380Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2jit.html
2025-09-07T06:18:29.7033180Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2serialize.html
2025-09-07T06:18:29.7034030Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_data_create.html
2025-09-07T06:18:29.7034810Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_maketables.html
2025-09-07T06:18:29.7035660Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_stack_assign.html
2025-09-07T06:18:29.7036380Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_bsr.html
2025-09-07T06:18:29.7037240Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_stack_create.html
2025-09-07T06:18:29.7037990Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_mark.html
2025-09-07T06:18:29.7038920Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_free_unused_memory.html
2025-09-07T06:18:29.7039790Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_character_tables.html
2025-09-07T06:18:29.7040630Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_match_limit.html
2025-09-07T06:18:29.7041510Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_parens_nest_limit.html
2025-09-07T06:18:29.7042240Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2syntax.html
2025-09-07T06:18:29.7042930Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2api.html
2025-09-07T06:18:29.7043830Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_error_message.html
2025-09-07T06:18:29.7044610Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_startchar.html
2025-09-07T06:18:29.7045390Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_newline.html
2025-09-07T06:18:29.7046120Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2convert.html
2025-09-07T06:18:29.7047000Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_ovector_count.html
2025-09-07T06:18:29.7047810Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_pattern_info.html
2025-09-07T06:18:29.7048630Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_maketables_free.html
2025-09-07T06:18:29.7049480Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_glob_escape.html
2025-09-07T06:18:29.7050390Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_ovector_pointer.html
2025-09-07T06:18:29.7051110Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_code_copy.html
2025-09-07T06:18:29.7051860Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2matching.html
2025-09-07T06:18:29.7052800Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_general_context_create.html
2025-09-07T06:18:29.7053460Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2test.html
2025-09-07T06:18:29.7054250Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_dfa_match.html
2025-09-07T06:18:29.7054960Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2posix.html
2025-09-07T06:18:29.7055900Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_max_pattern_length.html
2025-09-07T06:18:29.7056710Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_serialize_encode.html
2025-09-07T06:18:29.7057590Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_recursion_limit.html
2025-09-07T06:18:29.7058460Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_convert_context_free.html
2025-09-07T06:18:29.7059390Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_nametable_scan.html
2025-09-07T06:18:29.7060080Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2callout.html
2025-09-07T06:18:29.7061000Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_general_context_copy.html
2025-09-07T06:18:29.7061870Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_compile_context_free.html
2025-09-07T06:18:29.7062560Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2build.html
2025-09-07T06:18:29.7063420Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_offset_limit.html
2025-09-07T06:18:29.7064310Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_get_byname.html
2025-09-07T06:18:29.7065060Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_match.html
2025-09-07T06:18:29.7066000Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_compile_context_create.html
2025-09-07T06:18:29.7066700Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2partial.html
2025-09-07T06:18:29.7067400Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2grep.html
2025-09-07T06:18:29.7068300Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_context_free.html
2025-09-07T06:18:29.7069150Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_glob_separator.html
2025-09-07T06:18:29.7069920Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2pattern.html
2025-09-07T06:18:29.7070790Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_general_context_free.html
2025-09-07T06:18:29.7071460Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2demo.html
2025-09-07T06:18:29.7072510Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_recursion_memory_management.html
2025-09-07T06:18:29.7073380Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_convert_context_create.html
2025-09-07T06:18:29.7074240Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_compile_context_copy.html
2025-09-07T06:18:29.7075230Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_serialize_get_number_of_codes.html
2025-09-07T06:18:29.7076180Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_compile_recursion_guard.html
2025-09-07T06:18:29.7077140Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_number_from_name.html
2025-09-07T06:18:29.7077950Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_list_free.html
2025-09-07T06:18:29.7078820Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_convert_context_copy.html
2025-09-07T06:18:29.7079690Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_get_match_data_size.html
2025-09-07T06:18:29.7080610Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_length_byname.html
2025-09-07T06:18:29.7081510Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_copy_bynumber.html
2025-09-07T06:18:29.7082270Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_compile.html
2025-09-07T06:18:29.7083130Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_serialize_decode.html
2025-09-07T06:18:29.7083980Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_context_copy.html
2025-09-07T06:18:29.7084710Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_compile.html
2025-09-07T06:18:29.7085550Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_jit_stack_free.html
2025-09-07T06:18:29.7086260Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2limits.html
2025-09-07T06:18:29.7087050Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2-config.html
2025-09-07T06:18:29.7087860Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substitute.html
2025-09-07T06:18:29.7088610Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match.html
2025-09-07T06:18:29.7089600Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_compile_extra_options.html
2025-09-07T06:18:29.7090380Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_serialize_free.html
2025-09-07T06:18:29.7091290Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_get_bynumber.html
2025-09-07T06:18:29.7092060Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_set_callout.html
2025-09-07T06:18:29.7092970Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_copy_byname.html
2025-09-07T06:18:29.7093820Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_substring_list_get.html
2025-09-07T06:18:29.7094790Z /opt/homebrew/Caskroom/miniconda/base/share/doc/pcre2/html/pcre2_match_context_create.html
2025-09-07T06:18:29.7095320Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconvctl.3.html
2025-09-07T06:18:29.7096050Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconv_open_into.3.html
2025-09-07T06:18:29.7099380Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconv_open.3.html
2025-09-07T06:18:29.7099650Z /opt/homebrew/Caskroom/miniconda/base/share/doc/iconv.1.html
2025-09-07T06:18:29.7099800Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/install-sh
2025-09-07T06:18:29.7100130Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/LICENSE
2025-09-07T06:18:29.7100310Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/config/mh-darwin
2025-09-07T06:18:29.7100470Z /opt/homebrew/Caskroom/miniconda/base/share/icu/73.1/mkinstalldirs
2025-09-07T06:18:30.8001310Z ==> Uninstalling Cask miniconda
2025-09-07T06:18:30.8003730Z ==> Removing files:
2025-09-07T06:18:30.8006210Z /opt/homebrew/Caskroom/miniconda/base
2025-09-07T06:18:33.7558650Z ==> Unlinking Binary '/opt/homebrew/bin/conda'
2025-09-07T06:18:33.7586030Z ==> Purging files for version py313_25.7.0-2 of Cask miniconda
2025-09-07T06:18:33.8076840Z ##[group]Run for dir in  ~/.local/lib/python3.*/site-packages; do
2025-09-07T06:18:33.8077140Z for dir in  ~/.local/lib/python3.*/site-packages; do
2025-09-07T06:18:33.8077370Z   echo "Cleaning up ${dir}"
2025-09-07T06:18:33.8077540Z   rm -rf "${dir}"
2025-09-07T06:18:33.8077670Z done
2025-09-07T06:18:33.8126740Z shell: /bin/bash -e -l {0}
2025-09-07T06:18:33.8126950Z env:
2025-09-07T06:18:33.8127050Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:18:33.8127210Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:18:33.8127370Z   TEST_CONFIG: default
2025-09-07T06:18:33.8127490Z   SHARD_NUMBER: 1
2025-09-07T06:18:33.8127610Z   NUM_TEST_SHARDS: 3
2025-09-07T06:18:33.8127730Z   PR_BODY: 
2025-09-07T06:18:33.8127840Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:18:33.8127990Z ##[endgroup]
2025-09-07T06:18:33.8414930Z Cleaning up /Users/ec2-user/.local/lib/python3.*/site-packages
2025-09-07T06:18:33.8488170Z ##[group]Run pytorch/test-infra/.github/actions/check-disk-space@main
2025-09-07T06:18:33.8488430Z with:
2025-09-07T06:18:33.8488570Z   minimum-available-space-in-gb: 6
2025-09-07T06:18:33.8488730Z env:
2025-09-07T06:18:33.8488850Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:18:33.8489050Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:18:33.8489220Z   TEST_CONFIG: default
2025-09-07T06:18:33.8489360Z   SHARD_NUMBER: 1
2025-09-07T06:18:33.8489520Z   NUM_TEST_SHARDS: 3
2025-09-07T06:18:33.8489660Z   PR_BODY: 
2025-09-07T06:18:33.8489780Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:18:33.8489950Z ##[endgroup]
2025-09-07T06:18:33.8536150Z ##[group]Run echo "Print the available disk space for manual inspection"
2025-09-07T06:18:33.8536530Z echo "Print the available disk space for manual inspection"
2025-09-07T06:18:33.8536770Z df -h
2025-09-07T06:18:33.8536890Z 
2025-09-07T06:18:33.8537040Z function check_disk_space() {
2025-09-07T06:18:33.8537240Z   set +e
2025-09-07T06:18:33.8537360Z 
2025-09-07T06:18:33.8537520Z   # Set the minimum requirement space to 6GB
2025-09-07T06:18:33.8537830Z   MINIMUM_AVAILABLE_SPACE_IN_KB=$(($MINIMUM_AVAILABLE_SPACE_IN_GB * 1024 * 1024))
2025-09-07T06:18:33.8538100Z 
2025-09-07T06:18:33.8538270Z   # Use KB to avoid floating point warning like 3.1GB
2025-09-07T06:18:33.8538530Z   df -k | tr -s ' ' | cut -d' ' -f 4,9 | while read -r LINE;
2025-09-07T06:18:33.8538750Z   do
2025-09-07T06:18:33.8538900Z     AVAIL=$(echo $LINE | cut -f1 -d' ')
2025-09-07T06:18:33.8539120Z     MOUNT=$(echo $LINE | cut -f2 -d' ')
2025-09-07T06:18:33.8539300Z 
2025-09-07T06:18:33.8539420Z     if [ "${MOUNT}" = "/" ]; then
2025-09-07T06:18:33.8539670Z       if [ "${AVAIL}" -lt "${MINIMUM_AVAILABLE_SPACE_IN_KB}" ]; then
2025-09-07T06:18:33.8540180Z         echo "Failure: There is only ${AVAIL}KB free space left in ${MOUNT}, which is less than the minimum requirement of ${MINIMUM_AVAILABLE_SPACE_IN_KB}KB for ${RUNNER_OS}"
2025-09-07T06:18:33.8540610Z       else
2025-09-07T06:18:33.8540880Z         echo "Success: There is ${AVAIL}KB free space left in ${MOUNT} for ${RUNNER_OS}, continue"
2025-09-07T06:18:33.8541150Z       fi
2025-09-07T06:18:33.8541280Z     fi
2025-09-07T06:18:33.8541410Z   done
2025-09-07T06:18:33.8541530Z 
2025-09-07T06:18:33.8541700Z   set -e
2025-09-07T06:18:33.8541840Z }
2025-09-07T06:18:33.8541950Z 
2025-09-07T06:18:33.8542070Z RESULT=$(check_disk_space)
2025-09-07T06:18:33.8542250Z echo "${RESULT}"
2025-09-07T06:18:33.8542400Z 
2025-09-07T06:18:33.8542580Z if [[ "${RESULT}" == *Failure* && "${RUNNER_OS}" == "macOS" ]]; then
2025-09-07T06:18:33.8543050Z   # We can clean up /System/Library/Caches/com.apple.coresymbolicationd on MacOS to free up the space and this should free up enough space
2025-09-07T06:18:33.8543520Z   # https://github.com/pytorch/pytorch/issues/85440
2025-09-07T06:18:33.8543850Z   sudo rm "/System/Library/Caches/com.apple.coresymbolicationd/data" || true
2025-09-07T06:18:33.8544320Z   # Stop the daemon and launchctl will automatically start it again, thus accomplish a restart and free up the above file
2025-09-07T06:18:33.8544750Z   sudo launchctl stop com.apple.coresymbolicationd || true
2025-09-07T06:18:33.8545020Z 
2025-09-07T06:18:33.8545170Z   # Clean up crash reports on the runner
2025-09-07T06:18:33.8545470Z   sudo rm -rf "/System/Volumes/Data/Library/Logs/CrashReporter" || true
2025-09-07T06:18:33.8545720Z 
2025-09-07T06:18:33.8545880Z   # Also try to clean up torch.hub caching directory
2025-09-07T06:18:33.8546130Z   rm -rf "${HOME}/.cache/torch/hub" || true
2025-09-07T06:18:33.8546500Z 
2025-09-07T06:18:33.8546630Z   # Purge conda
2025-09-07T06:18:33.8546800Z   conda clean -p -t -y || true
2025-09-07T06:18:33.8546990Z   # and pip cache
2025-09-07T06:18:33.8547150Z   pip cache purge || true
2025-09-07T06:18:33.8547320Z 
2025-09-07T06:18:33.8547510Z   echo "Re-run disk space check for ${RUNNER_OS} after cleaning up"
2025-09-07T06:18:33.8547770Z   # Re-run the check
2025-09-07T06:18:33.8547940Z   RESULT=$(check_disk_space)
2025-09-07T06:18:33.8548140Z   echo "${RESULT}"
2025-09-07T06:18:33.8548290Z fi
2025-09-07T06:18:33.8548410Z 
2025-09-07T06:18:33.8548570Z if [[ "${RESULT}" == *Failure* ]]; then
2025-09-07T06:18:33.8548760Z   df -h
2025-09-07T06:18:33.8548880Z 
2025-09-07T06:18:33.8549310Z   echo "Please help create an issue to PyTorch Release Engineering via https://github.com/pytorch/test-infra/issues and provide the link to the workflow run."
2025-09-07T06:18:33.8549780Z   exit 1
2025-09-07T06:18:33.8549910Z fi
2025-09-07T06:18:33.8561230Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T06:18:33.8561440Z env:
2025-09-07T06:18:33.8561570Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:18:33.8561740Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:18:33.8561920Z   TEST_CONFIG: default
2025-09-07T06:18:33.8562070Z   SHARD_NUMBER: 1
2025-09-07T06:18:33.8562200Z   NUM_TEST_SHARDS: 3
2025-09-07T06:18:33.8562340Z   PR_BODY: 
2025-09-07T06:18:33.8562480Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:18:33.8562650Z   MINIMUM_AVAILABLE_SPACE_IN_GB: 6
2025-09-07T06:18:33.8562820Z ##[endgroup]
2025-09-07T06:18:33.8759970Z Print the available disk space for manual inspection
2025-09-07T06:18:33.8803150Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-09-07T06:18:33.8803530Z /dev/disk5s2s1   256Gi   9.5Gi   180Gi     6%    404k  1.9G    0%   /
2025-09-07T06:18:33.8803910Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-09-07T06:18:33.8804250Z /dev/disk5s5     256Gi   2.0Gi   180Gi     2%       2  1.9G    0%   /System/Volumes/VM
2025-09-07T06:18:33.8804610Z /dev/disk5s3     256Gi   5.7Gi   180Gi     4%    1.0k  1.9G    0%   /System/Volumes/Preboot
2025-09-07T06:18:33.8804990Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-09-07T06:18:33.8805380Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-09-07T06:18:33.8805930Z /dev/disk1s3     500Mi   852Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-09-07T06:18:33.8806290Z /dev/disk5s1     256Gi    58Gi   180Gi    25%    2.4M  1.9G    0%   /System/Volumes/Data
2025-09-07T06:18:33.8806670Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-09-07T06:18:33.8807050Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-QQILuO
2025-09-07T06:18:33.9178230Z Success: There is 188313280KB free space left in / for macOS, continue
2025-09-07T06:18:33.9256950Z ##[group]Run pytorch/pytorch/.github/actions/checkout-pytorch@main
2025-09-07T06:18:33.9257200Z with:
2025-09-07T06:18:33.9257330Z   submodules: recursive
2025-09-07T06:18:33.9257490Z   fetch-depth: 0
2025-09-07T06:18:33.9257610Z env:
2025-09-07T06:18:33.9257730Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:18:33.9257910Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:18:33.9258150Z   TEST_CONFIG: default
2025-09-07T06:18:33.9258300Z   SHARD_NUMBER: 1
2025-09-07T06:18:33.9258440Z   NUM_TEST_SHARDS: 3
2025-09-07T06:18:33.9258570Z   PR_BODY: 
2025-09-07T06:18:33.9258700Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:18:33.9258850Z ##[endgroup]
2025-09-07T06:18:33.9270490Z ##[group]Run echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-09-07T06:18:33.9271040Z echo "IN_CONTAINER_RUNNER=$(if [ -f /.inarc ] || [ -f /.incontainer ]; then echo true ; else echo false; fi)" >> "$GITHUB_OUTPUT"
2025-09-07T06:18:33.9282310Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T06:18:33.9282520Z env:
2025-09-07T06:18:33.9282640Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:18:33.9282820Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:18:33.9283000Z   TEST_CONFIG: default
2025-09-07T06:18:33.9283140Z   SHARD_NUMBER: 1
2025-09-07T06:18:33.9283270Z   NUM_TEST_SHARDS: 3
2025-09-07T06:18:33.9283430Z   PR_BODY: 
2025-09-07T06:18:33.9283550Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:18:33.9283710Z ##[endgroup]
2025-09-07T06:18:33.9516260Z ##[group]Run # Use all available CPUs for fetching
2025-09-07T06:18:33.9516570Z # Use all available CPUs for fetching
2025-09-07T06:18:33.9516780Z cd "${GITHUB_WORKSPACE}"
2025-09-07T06:18:33.9516980Z git config --global fetch.parallel 0
2025-09-07T06:18:33.9517210Z git config --global submodule.fetchJobs 0
2025-09-07T06:18:33.9517410Z 
2025-09-07T06:18:33.9517680Z # Clean workspace. The default checkout action should also do this, but
2025-09-07T06:18:33.9517970Z # do it here as well just in case
2025-09-07T06:18:33.9518160Z if [[ -d .git ]]; then
2025-09-07T06:18:33.9518350Z   if [ -z "${NO_SUDO}" ]; then
2025-09-07T06:18:33.9518530Z     sudo git clean -ffdx
2025-09-07T06:18:33.9518690Z   else
2025-09-07T06:18:33.9518850Z     git clean -ffdx
2025-09-07T06:18:33.9519000Z   fi
2025-09-07T06:18:33.9519120Z fi
2025-09-07T06:18:33.9530330Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T06:18:33.9530540Z env:
2025-09-07T06:18:33.9530680Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:18:33.9530850Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:18:33.9531030Z   TEST_CONFIG: default
2025-09-07T06:18:33.9531180Z   SHARD_NUMBER: 1
2025-09-07T06:18:33.9531300Z   NUM_TEST_SHARDS: 3
2025-09-07T06:18:33.9531440Z   PR_BODY: 
2025-09-07T06:18:33.9531560Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:18:33.9531730Z   NO_SUDO: 
2025-09-07T06:18:33.9531840Z ##[endgroup]
2025-09-07T06:18:35.1640830Z Removing .additional_ci_files/
2025-09-07T06:18:35.1641140Z Removing .pytest_cache/
2025-09-07T06:18:35.1641310Z Removing build/
2025-09-07T06:18:35.1641480Z Removing dist/
2025-09-07T06:18:35.1641620Z Removing test-reports/
2025-09-07T06:18:35.1641820Z Removing test/.pytorch-disabled-tests.json
2025-09-07T06:18:35.1642310Z Removing test/__pycache__/
2025-09-07T06:18:35.1642480Z Removing test/inductor/__pycache__/
2025-09-07T06:18:35.1642660Z Removing test/test-reports/
2025-09-07T06:18:35.1642820Z Removing test/torch_compile_debug/
2025-09-07T06:18:35.1643000Z Removing tools/__pycache__/
2025-09-07T06:18:35.1643160Z Removing tools/stats/__pycache__/
2025-09-07T06:18:35.1643380Z Removing tools/stats/upload_utilization_stats/__pycache__/
2025-09-07T06:18:35.1643630Z Removing tools/testing/__pycache__/
2025-09-07T06:18:35.1643850Z Removing tools/testing/target_determination/__pycache__/
2025-09-07T06:18:35.1644640Z Removing tools/testing/target_determination/heuristics/__pycache__/
2025-09-07T06:18:35.1644960Z Removing usage_log.txt
2025-09-07T06:18:35.1698970Z ##[group]Run actions/checkout@v4
2025-09-07T06:18:35.1699140Z with:
2025-09-07T06:18:35.1699290Z   ref: 93fb23d6fae7c4e82c4239a1033e522088742634
2025-09-07T06:18:35.1699500Z   fetch-depth: 0
2025-09-07T06:18:35.1699750Z   submodules: recursive
2025-09-07T06:18:35.1699900Z   show-progress: false
2025-09-07T06:18:35.1700070Z   repository: pytorch/pytorch
2025-09-07T06:18:35.1700290Z   token: ***
2025-09-07T06:18:35.1700420Z   ssh-strict: true
2025-09-07T06:18:35.1700540Z   ssh-user: git
2025-09-07T06:18:35.1700680Z   persist-credentials: true
2025-09-07T06:18:35.1700830Z   clean: true
2025-09-07T06:18:35.1700970Z   sparse-checkout-cone-mode: true
2025-09-07T06:18:35.1701150Z   fetch-tags: false
2025-09-07T06:18:35.1701270Z   lfs: false
2025-09-07T06:18:35.1701400Z   set-safe-directory: true
2025-09-07T06:18:35.1701560Z env:
2025-09-07T06:18:35.1701680Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:18:35.1701860Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:18:35.1702050Z   TEST_CONFIG: default
2025-09-07T06:18:35.1702180Z   SHARD_NUMBER: 1
2025-09-07T06:18:35.1702310Z   NUM_TEST_SHARDS: 3
2025-09-07T06:18:35.1702460Z   PR_BODY: 
2025-09-07T06:18:35.1702580Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:18:35.1702730Z ##[endgroup]
2025-09-07T06:18:35.2610230Z Syncing repository: pytorch/pytorch
2025-09-07T06:18:35.2611200Z ##[group]Getting Git version info
2025-09-07T06:18:35.2611470Z Working directory is '/Users/ec2-user/runner/_work/pytorch/pytorch'
2025-09-07T06:18:35.2611860Z [command]/usr/bin/git version
2025-09-07T06:18:35.2649500Z git version 2.39.3 (Apple Git-146)
2025-09-07T06:18:35.2663440Z ##[endgroup]
2025-09-07T06:18:35.2667300Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/e23b82c7-3956-4088-98b0-43b98dbc610f/.gitconfig'
2025-09-07T06:18:35.2672830Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/e23b82c7-3956-4088-98b0-43b98dbc610f' before making global git config changes
2025-09-07T06:18:35.2673400Z Adding repository directory to the temporary git global config as a safe directory
2025-09-07T06:18:35.2679510Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/pytorch/pytorch
2025-09-07T06:18:35.2749680Z [command]/usr/bin/git config --local --get remote.origin.url
2025-09-07T06:18:35.2803860Z https://github.com/pytorch/pytorch
2025-09-07T06:18:35.2812670Z ##[group]Removing previously created refs, to avoid conflicts
2025-09-07T06:18:35.2815010Z [command]/usr/bin/git rev-parse --symbolic-full-name --verify --quiet HEAD
2025-09-07T06:18:35.2868730Z HEAD
2025-09-07T06:18:35.2950320Z ##[endgroup]
2025-09-07T06:18:35.2952620Z [command]/usr/bin/git submodule status
2025-09-07T06:18:35.3689820Z  7e1e1fe3858c63c251c637ae41a20de425dde96f android/libs/fbjni (v0.1.0-12-g7e1e1fe)
2025-09-07T06:18:35.3939600Z  4dfe081cf6bcd15db339cf2680b9281b8451eeb3 third_party/FP16 (4dfe081)
2025-09-07T06:18:35.4162220Z  b408327ac2a15ec3e43352421954f5b1967701d1 third_party/FXdiv (b408327)
2025-09-07T06:18:35.4458410Z  c07e3a0400713d546e0dea2d5466dd22ea389c73 third_party/NNPACK (c07e3a0)
2025-09-07T06:18:35.4815590Z  2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07 third_party/NVTX (v3.1.0-263-g2942f16)
2025-09-07T06:18:35.5124930Z  1d8f600fd424278486eade7ed3e877c99f0846b1 third_party/VulkanMemoryAllocator (v2.1.0-982-g1d8f600)
2025-09-07T06:18:35.7176360Z  51a0103656eff6fc9bfd39a4597923c4b542c883 third_party/XNNPACK (remotes/origin/ds/ndk-1243-g51a0103656)
2025-09-07T06:18:35.7530860Z  01aae101b9e5e94d6c16a9514c9fb8df99c93150 third_party/aiter (v0.1.1-92-g01aae101)
2025-09-07T06:18:35.7695760Z  299e5928955cc62af9968370293b916f5130916f third_party/benchmark (v1.9.3)
2025-09-07T06:18:35.8244700Z  7fe50dc3da2069d6645d9deb8c017a876472a977 third_party/composable_kernel (rocm-6.4.3-459-g7fe50dc3d)
2025-09-07T06:18:35.8669980Z  89c932f313c6437c38f2982869beacc89c2f2246 third_party/cpp-httplib (v0.26.0)
2025-09-07T06:18:35.9103550Z  5e3d2445e6a84d9599bee2bf78edbb4d80865e1d third_party/cpuinfo (5e3d244)
2025-09-07T06:18:35.9448730Z  f937055efc6d414d11f4c6577e3977fe74f35fb6 third_party/cudnn_frontend (v0.5-52-gf937055)
2025-09-07T06:18:35.9819330Z  e51efbfe18fe4f4cbb66ab814c55bf4aa0185491 third_party/cutlass (v4.1.0)
2025-09-07T06:18:36.0683380Z  4b39c551efe15e6bbade20565b0ceb2d8ce3352d third_party/fbgemm (v1.3.0-rc1-342-g4b39c551)
2025-09-07T06:18:36.0938180Z  979702c87a8713a8e0a5e9fee122b90d2ef13be5 third_party/flash-attention (v2.7.4)
2025-09-07T06:18:36.1024820Z  a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757 third_party/flatbuffers (v24.12.23)
2025-09-07T06:18:36.2100370Z  40626af88bd7df9a5fb80be7b25ac85b122d6c21 third_party/fmt (11.2.0)
2025-09-07T06:18:36.2421700Z  3fb5c176c17c765a3492cd2f0321b0dab712f350 third_party/gemmlowp/gemmlowp (remotes/origin/revert-87-master-135-g3fb5c17)
2025-09-07T06:18:36.2874590Z  c7b7b022c124d9643957d9bd55f57ac59fce8fa2 third_party/gloo (remotes/origin/gh/c-p-i-o/1/base-33-gc7b7b02)
2025-09-07T06:18:36.3617190Z  52eb8108c5bdec04579160ae17225d66034bd723 third_party/googletest (release-1.8.0-3544-g52eb8108)
2025-09-07T06:18:36.4001500Z  719d8e6cd7f7a0e01b155657526d693acf97c2b3 third_party/ideep (pytorch-rls-v3.7.1)
2025-09-07T06:18:36.4259900Z  dec1d23ca65ab069d225dfe40dea14f455170959 third_party/ittapi (v3.25.5)
2025-09-07T06:18:36.4766690Z  5e7501833f1021ce6f618572d3baf657b6319658 third_party/kineto (remotes/origin/sraikund/test-98-g5e75018)
2025-09-07T06:18:36.4921600Z  cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7 third_party/kleidiai (v1.8.0)
2025-09-07T06:18:36.4984240Z  fbd8b99c2b828428947d70fdc046bb55609be93e third_party/mimalloc (v2.2.4)
2025-09-07T06:18:36.5090040Z  55f93686c01528224f448c19128836e7df245f72 third_party/nlohmann (v3.12.0)
2025-09-07T06:18:36.6234190Z  e709452ef2bbc1d113faf678c24e6d3467696e83 third_party/onnx (v1.18.0)
2025-09-07T06:18:36.6323010Z  a799f4aed9c94b765dcdaabaeab7d5e7e2310878 third_party/opentelemetry-cpp (v1.14.2)
2025-09-07T06:18:36.6401490Z  0fa0ef591e38c2758e3184c6c23e497b9f732ffa third_party/pocketfft (release_for_eigen-40-g0fa0ef5)
2025-09-07T06:18:36.8696090Z  d1eca4e4b421cd2997495c4b4e65cea6be4e9b8a third_party/protobuf (v3.7.0-rc.2-1279-gd1eca4e4b)
2025-09-07T06:18:36.8904470Z  072586a71b55b7f8c584153d223e95687148a900 third_party/psimd (heads/master)
2025-09-07T06:18:36.9086400Z  4fe0e1e183925bf8cfa6aae24237e724a96479b8 third_party/pthreadpool (0.1-144-g4fe0e1e)
2025-09-07T06:18:36.9226410Z  f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8 third_party/pybind11 (v3.0.1)
2025-09-07T06:18:36.9449230Z  f45429b087dd7d5bc78bb40dc7cf06425c252d67 third_party/python-peachpy (remotes/origin/pre-generated)
2025-09-07T06:18:36.9839080Z  5a1d179df9cf652951b59010a2d2075372d67f68 third_party/sleef (3.8)
2025-09-07T06:18:37.0134910Z  af0118d13e52f5a08841464a768e01a0bf3e3075 third_party/tensorpipe (heads/main)
2025-09-07T06:18:37.0142460Z ##[group]Cleaning the repository
2025-09-07T06:18:37.0145210Z [command]/usr/bin/git clean -ffdx
2025-09-07T06:18:37.0543710Z [command]/usr/bin/git reset --hard HEAD
2025-09-07T06:18:38.0449450Z HEAD is now at 2a45837e98c [inductor] fuse for scalar shared data (#162311)
2025-09-07T06:18:38.0457600Z ##[endgroup]
2025-09-07T06:18:38.0458900Z ##[group]Disabling automatic garbage collection
2025-09-07T06:18:38.0463460Z [command]/usr/bin/git config --local gc.auto 0
2025-09-07T06:18:38.0545700Z ##[endgroup]
2025-09-07T06:18:38.0546060Z ##[group]Setting up auth
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2025-09-07T06:18:38.8867210Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-09-07T06:18:38.8926770Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
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2025-09-07T06:18:39.7157150Z [command]/usr/bin/git config --local http.https://github.com/.extraheader AUTHORIZATION: basic ***
2025-09-07T06:18:39.7227410Z ##[endgroup]
2025-09-07T06:18:39.7227680Z ##[group]Fetching the repository
2025-09-07T06:18:39.7231730Z [command]/usr/bin/git -c protocol.version=2 fetch --prune --no-recurse-submodules origin +refs/heads/*:refs/remotes/origin/* +refs/tags/*:refs/tags/*
2025-09-07T06:18:44.8085850Z From https://github.com/pytorch/pytorch
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2025-09-07T06:18:46.4703990Z  * [new branch]              gh/PaulZhang12/25/base -> origin/gh/PaulZhang12/25/base
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2025-09-07T06:18:46.4808440Z    174f2faa8c5..636d3aa00f2  install-torchao-0.13.0 -> origin/install-torchao-0.13.0
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2025-09-07T06:18:46.4845540Z  t [tag update]              ciflow/inductor/162227 -> ciflow/inductor/162227
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2025-09-07T06:18:46.6018930Z [command]/usr/bin/git rev-parse --verify --quiet 93fb23d6fae7c4e82c4239a1033e522088742634^{object}
2025-09-07T06:18:46.6088260Z 93fb23d6fae7c4e82c4239a1033e522088742634
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2025-09-07T06:18:46.6092880Z ##[group]Determining the checkout info
2025-09-07T06:18:46.6093160Z ##[endgroup]
2025-09-07T06:18:46.6095210Z [command]/usr/bin/git sparse-checkout disable
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2025-09-07T06:18:46.6341190Z [command]/usr/bin/git checkout --progress --force 93fb23d6fae7c4e82c4239a1033e522088742634
2025-09-07T06:18:46.8349260Z Previous HEAD position was 2a45837e98c [inductor] fuse for scalar shared data (#162311)
2025-09-07T06:18:46.8372970Z HEAD is now at 93fb23d6fae Build vLLM nightly wheels (#162000)
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2025-09-07T06:18:47.2566250Z [command]/usr/bin/git -c protocol.version=2 submodule update --init --force --recursive
2025-09-07T06:18:47.3285890Z Submodule path 'android/libs/fbjni': checked out '7e1e1fe3858c63c251c637ae41a20de425dde96f'
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2025-09-07T06:18:47.3972820Z Submodule path 'third_party/NVTX': checked out '2942f167cc30c5e3a44a2aecd5b0d9c07ff61a07'
2025-09-07T06:18:47.4146440Z Submodule path 'third_party/VulkanMemoryAllocator': checked out '1d8f600fd424278486eade7ed3e877c99f0846b1'
2025-09-07T06:18:47.4501510Z Submodule path 'third_party/XNNPACK': checked out '51a0103656eff6fc9bfd39a4597923c4b542c883'
2025-09-07T06:18:47.4881980Z Submodule path 'third_party/aiter': checked out '01aae101b9e5e94d6c16a9514c9fb8df99c93150'
2025-09-07T06:18:47.6191970Z Submodule path 'third_party/aiter/3rdparty/composable_kernel': checked out 'cffe8fa2a442ac8e80dd236a1a5d24fe3d7e0cbf'
2025-09-07T06:18:47.6529750Z Submodule path 'third_party/benchmark': checked out '299e5928955cc62af9968370293b916f5130916f'
2025-09-07T06:18:47.7088940Z Submodule path 'third_party/composable_kernel': checked out '7fe50dc3da2069d6645d9deb8c017a876472a977'
2025-09-07T06:18:47.7266960Z Submodule path 'third_party/cpp-httplib': checked out '89c932f313c6437c38f2982869beacc89c2f2246'
2025-09-07T06:18:47.7449830Z Submodule path 'third_party/cpuinfo': checked out '5e3d2445e6a84d9599bee2bf78edbb4d80865e1d'
2025-09-07T06:18:47.7627190Z Submodule path 'third_party/cudnn_frontend': checked out 'f937055efc6d414d11f4c6577e3977fe74f35fb6'
2025-09-07T06:18:47.7919120Z Submodule path 'third_party/cutlass': checked out 'e51efbfe18fe4f4cbb66ab814c55bf4aa0185491'
2025-09-07T06:18:47.8611190Z Submodule path 'third_party/fbgemm': checked out '4b39c551efe15e6bbade20565b0ceb2d8ce3352d'
2025-09-07T06:18:47.8985110Z Submodule path 'third_party/fbgemm/external/asmjit': checked out 'a3199e8857792cd10b7589ff5d58343d2c9008ea'
2025-09-07T06:18:47.9542850Z Submodule path 'third_party/fbgemm/external/composable_kernel': checked out 'b1281b8b08d973a7064f864f47eeb30f3e2596e9'
2025-09-07T06:18:47.9885540Z Submodule path 'third_party/fbgemm/external/cpuinfo': checked out '6543fec09b2f04ac4a666882998b534afc9c1349'
2025-09-07T06:18:48.0654000Z Submodule path 'third_party/fbgemm/external/cutlass': checked out '311f3c8e51dc0eb56310cfc6980bf63d0fbd7917'
2025-09-07T06:18:48.1222790Z Submodule path 'third_party/fbgemm/external/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-09-07T06:18:48.1485790Z Submodule path 'third_party/fbgemm/external/hipify_torch': checked out '63b6a7b541fa7f08f8475ca7d74054db36ff2691'
2025-09-07T06:18:48.2394140Z Submodule path 'third_party/fbgemm/external/json': checked out '9cca280a4d0ccf0c08f47a99aa71d1b0e52f8d03'
2025-09-07T06:18:48.2625270Z Submodule path 'third_party/flash-attention': checked out '979702c87a8713a8e0a5e9fee122b90d2ef13be5'
2025-09-07T06:18:48.3971580Z Submodule path 'third_party/flash-attention/csrc/composable_kernel': checked out '888317e698e9803c62bd38568abc9e05d7709f33'
2025-09-07T06:18:48.4585210Z Submodule path 'third_party/flash-attention/csrc/cutlass': checked out 'c506e16788cb08416a4a57e11a9067beeee29420'
2025-09-07T06:18:48.5030970Z Submodule path 'third_party/flatbuffers': checked out 'a2cd1ea3b6d3fee220106b5fed3f7ce8da9eb757'
2025-09-07T06:18:48.5210700Z Submodule path 'third_party/fmt': checked out '40626af88bd7df9a5fb80be7b25ac85b122d6c21'
2025-09-07T06:18:48.5390530Z Submodule path 'third_party/gemmlowp/gemmlowp': checked out '3fb5c176c17c765a3492cd2f0321b0dab712f350'
2025-09-07T06:18:48.5591490Z Submodule path 'third_party/gloo': checked out 'c7b7b022c124d9643957d9bd55f57ac59fce8fa2'
2025-09-07T06:18:48.5789470Z Submodule path 'third_party/googletest': checked out '52eb8108c5bdec04579160ae17225d66034bd723'
2025-09-07T06:18:48.5973950Z Submodule path 'third_party/ideep': checked out '719d8e6cd7f7a0e01b155657526d693acf97c2b3'
2025-09-07T06:18:48.8834650Z Submodule path 'third_party/ideep/mkl-dnn': checked out '8d263e693366ef8db40acc569cc7d8edf644556d'
2025-09-07T06:18:48.9014610Z Submodule path 'third_party/ittapi': checked out 'dec1d23ca65ab069d225dfe40dea14f455170959'
2025-09-07T06:18:48.9189680Z Submodule path 'third_party/kineto': checked out '5e7501833f1021ce6f618572d3baf657b6319658'
2025-09-07T06:18:48.9547500Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog': checked out '7d04a0053a845370ae06ce317a22a48e9edcc74e'
2025-09-07T06:18:48.9902630Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM': checked out 'ffde4e54bc7249a6039a5e6b45b395141e1217f9'
2025-09-07T06:18:49.0349400Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr': checked out '871ed52d350214a034f6ef8a3b8f51c5ce1bd400'
2025-09-07T06:18:49.0996170Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt': checked out 'cd4af11efc9c622896a3e4cb599fa28668ca3d05'
2025-09-07T06:18:49.1231210Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags': checked out 'e171aa2d15ed9eb17054558e0b3a6a413bb01067'
2025-09-07T06:18:49.1485410Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc': checked out '8411df715cf522606e3b1aca386ddfc0b63d34b4'
2025-09-07T06:18:49.1786030Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog': checked out 'b33e3bad4c46c8a6345525fd822af355e5ef9446'
2025-09-07T06:18:49.2250250Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest': checked out '58d77fa8070e8cec2dc1ed015d66b454c8d78850'
2025-09-07T06:18:49.3045560Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/json': checked out '4f8fba14066156b73f1189a2b8bd568bde5284c5'
2025-09-07T06:18:49.3272240Z Submodule path 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs': checked out 'f68a2fa8ea36c783bdd760371411fcb495aa3150'
2025-09-07T06:18:49.3904270Z Submodule path 'third_party/kineto/libkineto/third_party/fmt': checked out '0041a40c1350ba702d475b9c4ad62da77caea164'
2025-09-07T06:18:49.4388130Z Submodule path 'third_party/kineto/libkineto/third_party/googletest': checked out '7aca84427f224eeed3144123d5230d5871e93347'
2025-09-07T06:18:49.4575330Z Submodule path 'third_party/kleidiai': checked out 'cca02c2f69dd18e1f12647c1c0bdc8cf90e680c7'
2025-09-07T06:18:49.5178050Z Submodule path 'third_party/mimalloc': checked out 'fbd8b99c2b828428947d70fdc046bb55609be93e'
2025-09-07T06:18:49.5970310Z Submodule path 'third_party/nlohmann': checked out '55f93686c01528224f448c19128836e7df245f72'
2025-09-07T06:18:49.6368780Z Submodule path 'third_party/onnx': checked out 'e709452ef2bbc1d113faf678c24e6d3467696e83'
2025-09-07T06:18:49.7130530Z Submodule path 'third_party/onnx/third_party/pybind11': checked out 'a2e59f0e7065404b44dfe92a28aca47ba1378dc4'
2025-09-07T06:18:49.7711840Z Submodule path 'third_party/opentelemetry-cpp': checked out 'a799f4aed9c94b765dcdaabaeab7d5e7e2310878'
2025-09-07T06:18:49.8191910Z Submodule path 'third_party/opentelemetry-cpp/third_party/benchmark': checked out 'd572f4777349d43653b21d6c2fc63020ab326db2'
2025-09-07T06:18:49.8658560Z Submodule path 'third_party/opentelemetry-cpp/third_party/googletest': checked out 'b796f7d44681514f58a683a3a71ff17c94edb0c1'
2025-09-07T06:18:49.8993830Z Submodule path 'third_party/opentelemetry-cpp/third_party/ms-gsl': checked out '6f4529395c5b7c2d661812257cd6780c67e54afa'
2025-09-07T06:18:49.9834720Z Submodule path 'third_party/opentelemetry-cpp/third_party/nlohmann-json': checked out 'bc889afb4c5bf1c0d8ee29ef35eaaf4c8bef8a5d'
2025-09-07T06:18:50.0128730Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto': checked out '4ca4f0335c63cda7ab31ea7ed70d6553aee14dce'
2025-09-07T06:18:50.0324530Z Submodule path 'third_party/opentelemetry-cpp/third_party/opentracing-cpp': checked out '06b57f48ded1fa3bdd3d4346f6ef29e40e08eaf5'
2025-09-07T06:18:50.0708770Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp': checked out 'c9ffcdda9086ffd9e1283ea7a0276d831f3c8a8d'
2025-09-07T06:18:50.1250710Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb': checked out 'eefb26f82b233268fc98577d265352720d477ba4'
2025-09-07T06:18:50.1706920Z Submodule path 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest': checked out 'e2239ee6043f73722e7aa812a459f54a28552929'
2025-09-07T06:18:50.3563330Z Submodule path 'third_party/opentelemetry-cpp/tools/vcpkg': checked out '8eb57355a4ffb410a2e94c07b4dca2dffbee8e50'
2025-09-07T06:18:50.3744940Z Submodule path 'third_party/pocketfft': checked out '0fa0ef591e38c2758e3184c6c23e497b9f732ffa'
2025-09-07T06:18:50.4141880Z Submodule path 'third_party/protobuf': checked out 'd1eca4e4b421cd2997495c4b4e65cea6be4e9b8a'
2025-09-07T06:18:50.4663380Z Submodule path 'third_party/protobuf/third_party/benchmark': checked out '5b7683f49e1e9223cf9927b24f6fd3d6bd82e3f8'
2025-09-07T06:18:50.5251430Z Submodule path 'third_party/protobuf/third_party/googletest': checked out '5ec7f0c4a113e2f18ac2c6cc7df51ad6afc24081'
2025-09-07T06:18:50.5420260Z Submodule path 'third_party/psimd': checked out '072586a71b55b7f8c584153d223e95687148a900'
2025-09-07T06:18:50.5582180Z Submodule path 'third_party/pthreadpool': checked out '4fe0e1e183925bf8cfa6aae24237e724a96479b8'
2025-09-07T06:18:50.6222400Z Submodule path 'third_party/pybind11': checked out 'f5fbe867d2d26e4a0a9177a51f6e568868ad3dc8'
2025-09-07T06:18:50.6385350Z Submodule path 'third_party/python-peachpy': checked out 'f45429b087dd7d5bc78bb40dc7cf06425c252d67'
2025-09-07T06:18:50.6561970Z Submodule path 'third_party/sleef': checked out '5a1d179df9cf652951b59010a2d2075372d67f68'
2025-09-07T06:18:50.6766230Z Submodule path 'third_party/tensorpipe': checked out 'af0118d13e52f5a08841464a768e01a0bf3e3075'
2025-09-07T06:18:50.7368920Z Submodule path 'third_party/tensorpipe/third_party/googletest': checked out 'aee0f9d9b5b87796ee8a0ab26b7587ec30e8858e'
2025-09-07T06:18:50.7580260Z Submodule path 'third_party/tensorpipe/third_party/libnop': checked out '910b55815be16109f04f4180e9adee14fb4ce281'
2025-09-07T06:18:50.8548540Z Submodule path 'third_party/tensorpipe/third_party/libuv': checked out '5152db2cbfeb5582e9c27c5ea1dba2cd9e10759b'
2025-09-07T06:18:50.9365260Z Submodule path 'third_party/tensorpipe/third_party/pybind11': checked out 'a23996fce38ff6ccfbcdc09f1e63f2c4be5ea2ef'
2025-09-07T06:18:50.9604620Z Submodule path 'third_party/tensorpipe/third_party/pybind11/tools/clang': checked out '6a00cbc4a9b8e68b71caf7f774b3f9c753ae84d5'
2025-09-07T06:18:50.9652750Z [command]/usr/bin/git submodule foreach --recursive git config --local gc.auto 0
2025-09-07T06:18:51.0148460Z Entering 'android/libs/fbjni'
2025-09-07T06:18:51.0233600Z Entering 'third_party/FP16'
2025-09-07T06:18:51.0315520Z Entering 'third_party/FXdiv'
2025-09-07T06:18:51.0397540Z Entering 'third_party/NNPACK'
2025-09-07T06:18:51.0479970Z Entering 'third_party/NVTX'
2025-09-07T06:18:51.0563220Z Entering 'third_party/VulkanMemoryAllocator'
2025-09-07T06:18:51.0643370Z Entering 'third_party/XNNPACK'
2025-09-07T06:18:51.0731890Z Entering 'third_party/aiter'
2025-09-07T06:18:51.0817020Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-09-07T06:18:51.0901840Z Entering 'third_party/benchmark'
2025-09-07T06:18:51.0984090Z Entering 'third_party/composable_kernel'
2025-09-07T06:18:51.1068960Z Entering 'third_party/cpp-httplib'
2025-09-07T06:18:51.1151540Z Entering 'third_party/cpuinfo'
2025-09-07T06:18:51.1233050Z Entering 'third_party/cudnn_frontend'
2025-09-07T06:18:51.1311720Z Entering 'third_party/cutlass'
2025-09-07T06:18:51.1396570Z Entering 'third_party/fbgemm'
2025-09-07T06:18:51.1478480Z Entering 'third_party/fbgemm/external/asmjit'
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2025-09-07T06:18:51.1811940Z Entering 'third_party/fbgemm/external/googletest'
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2025-09-07T06:18:51.1975600Z Entering 'third_party/fbgemm/external/json'
2025-09-07T06:18:51.2059300Z Entering 'third_party/flash-attention'
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2025-09-07T06:18:51.2222200Z Entering 'third_party/flash-attention/csrc/cutlass'
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2025-09-07T06:18:51.2474180Z Entering 'third_party/gemmlowp/gemmlowp'
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2025-09-07T06:18:51.2716460Z Entering 'third_party/ideep'
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2025-09-07T06:18:51.2880690Z Entering 'third_party/ittapi'
2025-09-07T06:18:51.2962180Z Entering 'third_party/kineto'
2025-09-07T06:18:51.3043030Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-09-07T06:18:51.3121080Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-09-07T06:18:51.3202830Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
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2025-09-07T06:18:51.3364180Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-09-07T06:18:51.3440790Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-09-07T06:18:51.3523230Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-09-07T06:18:51.3604070Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-09-07T06:18:51.3685210Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-09-07T06:18:51.3766310Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-09-07T06:18:51.3848480Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-09-07T06:18:51.3928310Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-09-07T06:18:51.4009230Z Entering 'third_party/kleidiai'
2025-09-07T06:18:51.4090080Z Entering 'third_party/mimalloc'
2025-09-07T06:18:51.4169440Z Entering 'third_party/nlohmann'
2025-09-07T06:18:51.4250220Z Entering 'third_party/onnx'
2025-09-07T06:18:51.4336960Z Entering 'third_party/onnx/third_party/pybind11'
2025-09-07T06:18:51.4422080Z Entering 'third_party/opentelemetry-cpp'
2025-09-07T06:18:51.4503420Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-09-07T06:18:51.4583280Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-09-07T06:18:51.4662830Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-09-07T06:18:51.4743360Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-09-07T06:18:51.4824780Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-09-07T06:18:51.4906280Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-09-07T06:18:51.4986680Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-09-07T06:18:51.5065870Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-09-07T06:18:51.5145370Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-09-07T06:18:51.5229590Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-09-07T06:18:51.5317840Z Entering 'third_party/pocketfft'
2025-09-07T06:18:51.5402970Z Entering 'third_party/protobuf'
2025-09-07T06:18:51.5482650Z Entering 'third_party/protobuf/third_party/benchmark'
2025-09-07T06:18:51.5564810Z Entering 'third_party/protobuf/third_party/googletest'
2025-09-07T06:18:51.5645660Z Entering 'third_party/psimd'
2025-09-07T06:18:51.5728230Z Entering 'third_party/pthreadpool'
2025-09-07T06:18:51.5807830Z Entering 'third_party/pybind11'
2025-09-07T06:18:51.5890230Z Entering 'third_party/python-peachpy'
2025-09-07T06:18:51.5968640Z Entering 'third_party/sleef'
2025-09-07T06:18:51.6047470Z Entering 'third_party/tensorpipe'
2025-09-07T06:18:51.6126350Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-09-07T06:18:51.6207940Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-09-07T06:18:51.6286760Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-09-07T06:18:51.6368000Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-09-07T06:18:51.6448070Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-09-07T06:18:51.6542790Z ##[endgroup]
2025-09-07T06:18:51.6543090Z ##[group]Persisting credentials for submodules
2025-09-07T06:18:51.6546570Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'url\.https\:\/\/github\.com\/\.insteadOf' && git config --local --unset-all 'url.https://github.com/.insteadOf' || :"
2025-09-07T06:18:51.7040180Z Entering 'android/libs/fbjni'
2025-09-07T06:18:51.7107750Z url.https://github.com/.insteadof
2025-09-07T06:18:51.7108210Z url.https://github.com/.insteadof
2025-09-07T06:18:51.7173980Z Entering 'third_party/FP16'
2025-09-07T06:18:51.7241380Z url.https://github.com/.insteadof
2025-09-07T06:18:51.7241610Z url.https://github.com/.insteadof
2025-09-07T06:18:51.7308060Z Entering 'third_party/FXdiv'
2025-09-07T06:18:51.7374870Z url.https://github.com/.insteadof
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2025-09-07T06:18:51.7439700Z Entering 'third_party/NNPACK'
2025-09-07T06:18:51.7504380Z url.https://github.com/.insteadof
2025-09-07T06:18:51.7505230Z url.https://github.com/.insteadof
2025-09-07T06:18:51.7571890Z Entering 'third_party/NVTX'
2025-09-07T06:18:51.7636690Z url.https://github.com/.insteadof
2025-09-07T06:18:51.7636980Z url.https://github.com/.insteadof
2025-09-07T06:18:51.7702890Z Entering 'third_party/VulkanMemoryAllocator'
2025-09-07T06:18:51.7769010Z url.https://github.com/.insteadof
2025-09-07T06:18:51.7769240Z url.https://github.com/.insteadof
2025-09-07T06:18:51.7833440Z Entering 'third_party/XNNPACK'
2025-09-07T06:18:51.7899130Z url.https://github.com/.insteadof
2025-09-07T06:18:51.7899360Z url.https://github.com/.insteadof
2025-09-07T06:18:51.7967920Z Entering 'third_party/aiter'
2025-09-07T06:18:51.8034600Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8034820Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8100000Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-09-07T06:18:51.8167490Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8167830Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8238310Z Entering 'third_party/benchmark'
2025-09-07T06:18:51.8305230Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8305450Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8371870Z Entering 'third_party/composable_kernel'
2025-09-07T06:18:51.8437840Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8438070Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8507030Z Entering 'third_party/cpp-httplib'
2025-09-07T06:18:51.8574400Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8574620Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8639390Z Entering 'third_party/cpuinfo'
2025-09-07T06:18:51.8706070Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8706280Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8771070Z Entering 'third_party/cudnn_frontend'
2025-09-07T06:18:51.8835780Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8836610Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8900020Z Entering 'third_party/cutlass'
2025-09-07T06:18:51.8963230Z url.https://github.com/.insteadof
2025-09-07T06:18:51.8964210Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9030730Z Entering 'third_party/fbgemm'
2025-09-07T06:18:51.9096880Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9097760Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9161880Z Entering 'third_party/fbgemm/external/asmjit'
2025-09-07T06:18:51.9228820Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9229070Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9294050Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-09-07T06:18:51.9360240Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9360470Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9428350Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-09-07T06:18:51.9495100Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9495330Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9561660Z Entering 'third_party/fbgemm/external/cutlass'
2025-09-07T06:18:51.9627070Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9627310Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9696450Z Entering 'third_party/fbgemm/external/googletest'
2025-09-07T06:18:51.9763600Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9763820Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9828520Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-09-07T06:18:51.9892020Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9892400Z url.https://github.com/.insteadof
2025-09-07T06:18:51.9956480Z Entering 'third_party/fbgemm/external/json'
2025-09-07T06:18:52.0020790Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0021060Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0089140Z Entering 'third_party/flash-attention'
2025-09-07T06:18:52.0155910Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0156370Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0221270Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-09-07T06:18:52.0286740Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0287280Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0355070Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-09-07T06:18:52.0422130Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0423010Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0491960Z Entering 'third_party/flatbuffers'
2025-09-07T06:18:52.0560330Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0560750Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0626170Z Entering 'third_party/fmt'
2025-09-07T06:18:52.0693160Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0693390Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0759190Z Entering 'third_party/gemmlowp/gemmlowp'
2025-09-07T06:18:52.0825360Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0825580Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0891250Z Entering 'third_party/gloo'
2025-09-07T06:18:52.0956810Z url.https://github.com/.insteadof
2025-09-07T06:18:52.0957110Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1023240Z Entering 'third_party/googletest'
2025-09-07T06:18:52.1089650Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1089870Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1153460Z Entering 'third_party/ideep'
2025-09-07T06:18:52.1218570Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1218800Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1282240Z Entering 'third_party/ideep/mkl-dnn'
2025-09-07T06:18:52.1346390Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1346610Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1416430Z Entering 'third_party/ittapi'
2025-09-07T06:18:52.1484700Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1485170Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1551330Z Entering 'third_party/kineto'
2025-09-07T06:18:52.1617460Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1618330Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1680190Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-09-07T06:18:52.1745840Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1746660Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1808910Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-09-07T06:18:52.1872780Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1873000Z url.https://github.com/.insteadof
2025-09-07T06:18:52.1939360Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-09-07T06:18:52.2004290Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2004510Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2071500Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-09-07T06:18:52.2137540Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2137760Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2204400Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-09-07T06:18:52.2269960Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2270240Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2333950Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-09-07T06:18:52.2400120Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2400350Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2467620Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-09-07T06:18:52.2533880Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2534270Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2600640Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-09-07T06:18:52.2667300Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2667520Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2734430Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-09-07T06:18:52.2800770Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2800990Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2867790Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-09-07T06:18:52.2933760Z url.https://github.com/.insteadof
2025-09-07T06:18:52.2933980Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3002620Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-09-07T06:18:52.3069200Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3069430Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3133590Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-09-07T06:18:52.3200260Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3200480Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3267970Z Entering 'third_party/kleidiai'
2025-09-07T06:18:52.3333980Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3334210Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3399790Z Entering 'third_party/mimalloc'
2025-09-07T06:18:52.3464780Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3465010Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3528970Z Entering 'third_party/nlohmann'
2025-09-07T06:18:52.3592550Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3592770Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3657430Z Entering 'third_party/onnx'
2025-09-07T06:18:52.3723930Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3724160Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3793540Z Entering 'third_party/onnx/third_party/pybind11'
2025-09-07T06:18:52.3858560Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3858850Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3925380Z Entering 'third_party/opentelemetry-cpp'
2025-09-07T06:18:52.3990410Z url.https://github.com/.insteadof
2025-09-07T06:18:52.3991180Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4057030Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-09-07T06:18:52.4122300Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4122520Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4187930Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-09-07T06:18:52.4255110Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4255340Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4319000Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-09-07T06:18:52.4383550Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4383770Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4447840Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-09-07T06:18:52.4512160Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4512380Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4578850Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-09-07T06:18:52.4643100Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4644000Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4708470Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-09-07T06:18:52.4774170Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4774400Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4837990Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-09-07T06:18:52.4902940Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4903170Z url.https://github.com/.insteadof
2025-09-07T06:18:52.4966190Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-09-07T06:18:52.5029750Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5029990Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5094790Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-09-07T06:18:52.5160080Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5160300Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5228830Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-09-07T06:18:52.5293880Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5294100Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5367770Z Entering 'third_party/pocketfft'
2025-09-07T06:18:52.5436730Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5437170Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5503450Z Entering 'third_party/protobuf'
2025-09-07T06:18:52.5569760Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5569980Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5634910Z Entering 'third_party/protobuf/third_party/benchmark'
2025-09-07T06:18:52.5701410Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5701780Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5767460Z Entering 'third_party/protobuf/third_party/googletest'
2025-09-07T06:18:52.5830570Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5830790Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5896610Z Entering 'third_party/psimd'
2025-09-07T06:18:52.5962740Z url.https://github.com/.insteadof
2025-09-07T06:18:52.5962960Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6028360Z Entering 'third_party/pthreadpool'
2025-09-07T06:18:52.6094120Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6094410Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6157300Z Entering 'third_party/pybind11'
2025-09-07T06:18:52.6223670Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6223890Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6288870Z Entering 'third_party/python-peachpy'
2025-09-07T06:18:52.6352750Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6353030Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6419150Z Entering 'third_party/sleef'
2025-09-07T06:18:52.6483080Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6483300Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6549140Z Entering 'third_party/tensorpipe'
2025-09-07T06:18:52.6614770Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6615000Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6677440Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-09-07T06:18:52.6740450Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6740680Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6804510Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-09-07T06:18:52.6868070Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6868300Z url.https://github.com/.insteadof
2025-09-07T06:18:52.6932960Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-09-07T06:18:52.6996790Z url.https://github.com/.insteadof
2025-09-07T06:18:52.7002420Z url.https://github.com/.insteadof
2025-09-07T06:18:52.7064040Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-09-07T06:18:52.7129030Z url.https://github.com/.insteadof
2025-09-07T06:18:52.7129250Z url.https://github.com/.insteadof
2025-09-07T06:18:52.7191740Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-09-07T06:18:52.7257330Z url.https://github.com/.insteadof
2025-09-07T06:18:52.7257560Z url.https://github.com/.insteadof
2025-09-07T06:18:52.7336000Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local 'http.https://github.com/.extraheader' 'AUTHORIZATION: basic ***' && git config --local --show-origin --name-only --get-regexp remote.origin.url"
2025-09-07T06:18:52.7825840Z Entering 'android/libs/fbjni'
2025-09-07T06:18:52.7926100Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/android/libs/fbjni/config	remote.origin.url
2025-09-07T06:18:52.7959880Z Entering 'third_party/FP16'
2025-09-07T06:18:52.8057830Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FP16/config	remote.origin.url
2025-09-07T06:18:52.8092300Z Entering 'third_party/FXdiv'
2025-09-07T06:18:52.8187240Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/FXdiv/config	remote.origin.url
2025-09-07T06:18:52.8222800Z Entering 'third_party/NNPACK'
2025-09-07T06:18:52.8320790Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK/config	remote.origin.url
2025-09-07T06:18:52.8355580Z Entering 'third_party/NVTX'
2025-09-07T06:18:52.8452090Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NVTX/config	remote.origin.url
2025-09-07T06:18:52.8485780Z Entering 'third_party/VulkanMemoryAllocator'
2025-09-07T06:18:52.8582590Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/VulkanMemoryAllocator/config	remote.origin.url
2025-09-07T06:18:52.8616340Z Entering 'third_party/XNNPACK'
2025-09-07T06:18:52.8712300Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/XNNPACK/config	remote.origin.url
2025-09-07T06:18:52.8751770Z Entering 'third_party/aiter'
2025-09-07T06:18:52.8851620Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/config	remote.origin.url
2025-09-07T06:18:52.8885200Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-09-07T06:18:52.8983630Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/aiter/modules/3rdparty/composable_kernel/config	remote.origin.url
2025-09-07T06:18:52.9022330Z Entering 'third_party/benchmark'
2025-09-07T06:18:52.9121910Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/benchmark/config	remote.origin.url
2025-09-07T06:18:52.9156570Z Entering 'third_party/composable_kernel'
2025-09-07T06:18:52.9254180Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/composable_kernel/config	remote.origin.url
2025-09-07T06:18:52.9291400Z Entering 'third_party/cpp-httplib'
2025-09-07T06:18:52.9390610Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cpp-httplib/config	remote.origin.url
2025-09-07T06:18:52.9425390Z Entering 'third_party/cpuinfo'
2025-09-07T06:18:52.9522900Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cpuinfo/config	remote.origin.url
2025-09-07T06:18:52.9557910Z Entering 'third_party/cudnn_frontend'
2025-09-07T06:18:52.9654530Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cudnn_frontend/config	remote.origin.url
2025-09-07T06:18:52.9689620Z Entering 'third_party/cutlass'
2025-09-07T06:18:52.9786090Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/cutlass/config	remote.origin.url
2025-09-07T06:18:52.9822720Z Entering 'third_party/fbgemm'
2025-09-07T06:18:52.9921100Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/config	remote.origin.url
2025-09-07T06:18:52.9954320Z Entering 'third_party/fbgemm/external/asmjit'
2025-09-07T06:18:53.0051510Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/asmjit/config	remote.origin.url
2025-09-07T06:18:53.0085560Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-09-07T06:18:53.0180940Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/composable_kernel/config	remote.origin.url
2025-09-07T06:18:53.0217410Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-09-07T06:18:53.0314480Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cpuinfo/config	remote.origin.url
2025-09-07T06:18:53.0347520Z Entering 'third_party/fbgemm/external/cutlass'
2025-09-07T06:18:53.0443720Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/cutlass/config	remote.origin.url
2025-09-07T06:18:53.0480680Z Entering 'third_party/fbgemm/external/googletest'
2025-09-07T06:18:53.0575680Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/googletest/config	remote.origin.url
2025-09-07T06:18:53.0609370Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-09-07T06:18:53.0707420Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/hipify_torch/config	remote.origin.url
2025-09-07T06:18:53.0741560Z Entering 'third_party/fbgemm/external/json'
2025-09-07T06:18:53.0836330Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fbgemm/modules/external/json/config	remote.origin.url
2025-09-07T06:18:53.0872190Z Entering 'third_party/flash-attention'
2025-09-07T06:18:53.0969270Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/config	remote.origin.url
2025-09-07T06:18:53.1001930Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-09-07T06:18:53.1098000Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/composable_kernel/config	remote.origin.url
2025-09-07T06:18:53.1133420Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-09-07T06:18:53.1232090Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flash-attention/modules/csrc/cutlass/config	remote.origin.url
2025-09-07T06:18:53.1270770Z Entering 'third_party/flatbuffers'
2025-09-07T06:18:53.1370760Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/flatbuffers/config	remote.origin.url
2025-09-07T06:18:53.1406450Z Entering 'third_party/fmt'
2025-09-07T06:18:53.1504040Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/fmt/config	remote.origin.url
2025-09-07T06:18:53.1539210Z Entering 'third_party/gemmlowp/gemmlowp'
2025-09-07T06:18:53.1636040Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/gemmlowp/gemmlowp/config	remote.origin.url
2025-09-07T06:18:53.1670310Z Entering 'third_party/gloo'
2025-09-07T06:18:53.1767900Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/gloo/config	remote.origin.url
2025-09-07T06:18:53.1802670Z Entering 'third_party/googletest'
2025-09-07T06:18:53.1900920Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/googletest/config	remote.origin.url
2025-09-07T06:18:53.1935930Z Entering 'third_party/ideep'
2025-09-07T06:18:53.2033480Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/config	remote.origin.url
2025-09-07T06:18:53.2066070Z Entering 'third_party/ideep/mkl-dnn'
2025-09-07T06:18:53.2161570Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ideep/modules/mkl-dnn/config	remote.origin.url
2025-09-07T06:18:53.2200010Z Entering 'third_party/ittapi'
2025-09-07T06:18:53.2297760Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/ittapi/config	remote.origin.url
2025-09-07T06:18:53.2331670Z Entering 'third_party/kineto'
2025-09-07T06:18:53.2430080Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/config	remote.origin.url
2025-09-07T06:18:53.2462590Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-09-07T06:18:53.2560010Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/config	remote.origin.url
2025-09-07T06:18:53.2592970Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-09-07T06:18:53.2690050Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/DCGM/config	remote.origin.url
2025-09-07T06:18:53.2725050Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-09-07T06:18:53.2821420Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/cpr/config	remote.origin.url
2025-09-07T06:18:53.2855830Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-09-07T06:18:53.2952820Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/fmt/config	remote.origin.url
2025-09-07T06:18:53.2986720Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-09-07T06:18:53.3082720Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/config	remote.origin.url
2025-09-07T06:18:53.3114750Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-09-07T06:18:53.3210850Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/gflags/modules/doc/config	remote.origin.url
2025-09-07T06:18:53.3245960Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-09-07T06:18:53.3340910Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/glog/config	remote.origin.url
2025-09-07T06:18:53.3374650Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-09-07T06:18:53.3471500Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/googletest/config	remote.origin.url
2025-09-07T06:18:53.3505760Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-09-07T06:18:53.3603100Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/json/config	remote.origin.url
2025-09-07T06:18:53.3636500Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-09-07T06:18:53.3734300Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/dynolog/modules/third_party/pfs/config	remote.origin.url
2025-09-07T06:18:53.3770310Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-09-07T06:18:53.3864450Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/fmt/config	remote.origin.url
2025-09-07T06:18:53.3897730Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-09-07T06:18:53.3992780Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kineto/modules/libkineto/third_party/googletest/config	remote.origin.url
2025-09-07T06:18:53.4029240Z Entering 'third_party/kleidiai'
2025-09-07T06:18:53.4127360Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/kleidiai/config	remote.origin.url
2025-09-07T06:18:53.4161070Z Entering 'third_party/mimalloc'
2025-09-07T06:18:53.4255630Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/mimalloc/config	remote.origin.url
2025-09-07T06:18:53.4289070Z Entering 'third_party/nlohmann'
2025-09-07T06:18:53.4384880Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/nlohmann/config	remote.origin.url
2025-09-07T06:18:53.4419420Z Entering 'third_party/onnx'
2025-09-07T06:18:53.4512700Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/config	remote.origin.url
2025-09-07T06:18:53.4550240Z Entering 'third_party/onnx/third_party/pybind11'
2025-09-07T06:18:53.4645430Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/onnx/modules/third_party/pybind11/config	remote.origin.url
2025-09-07T06:18:53.4681080Z Entering 'third_party/opentelemetry-cpp'
2025-09-07T06:18:53.4777640Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/config	remote.origin.url
2025-09-07T06:18:53.4811180Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-09-07T06:18:53.4909440Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/benchmark/config	remote.origin.url
2025-09-07T06:18:53.4944300Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-09-07T06:18:53.5042870Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/googletest/config	remote.origin.url
2025-09-07T06:18:53.5077270Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-09-07T06:18:53.5174160Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/ms-gsl/config	remote.origin.url
2025-09-07T06:18:53.5208500Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-09-07T06:18:53.5305780Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/nlohmann-json/config	remote.origin.url
2025-09-07T06:18:53.5340090Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-09-07T06:18:53.5437010Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentelemetry-proto/config	remote.origin.url
2025-09-07T06:18:53.5471700Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-09-07T06:18:53.5568760Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/opentracing-cpp/config	remote.origin.url
2025-09-07T06:18:53.5602730Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-09-07T06:18:53.5696740Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/config	remote.origin.url
2025-09-07T06:18:53.5728780Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-09-07T06:18:53.5824640Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/civetweb/config	remote.origin.url
2025-09-07T06:18:53.5859140Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-09-07T06:18:53.5955460Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/third_party/prometheus-cpp/modules/googletest/config	remote.origin.url
2025-09-07T06:18:53.5991750Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-09-07T06:18:53.6090120Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/opentelemetry-cpp/modules/tools/vcpkg/config	remote.origin.url
2025-09-07T06:18:53.6132000Z Entering 'third_party/pocketfft'
2025-09-07T06:18:53.6231080Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/pocketfft/config	remote.origin.url
2025-09-07T06:18:53.6265650Z Entering 'third_party/protobuf'
2025-09-07T06:18:53.6359850Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/config	remote.origin.url
2025-09-07T06:18:53.6394060Z Entering 'third_party/protobuf/third_party/benchmark'
2025-09-07T06:18:53.6490400Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/benchmark/config	remote.origin.url
2025-09-07T06:18:53.6524750Z Entering 'third_party/protobuf/third_party/googletest'
2025-09-07T06:18:53.6620600Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/protobuf/modules/third_party/googletest/config	remote.origin.url
2025-09-07T06:18:53.6656570Z Entering 'third_party/psimd'
2025-09-07T06:18:53.6755860Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/psimd/config	remote.origin.url
2025-09-07T06:18:53.6789350Z Entering 'third_party/pthreadpool'
2025-09-07T06:18:53.6884930Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/NNPACK_deps/pthreadpool/config	remote.origin.url
2025-09-07T06:18:53.6919960Z Entering 'third_party/pybind11'
2025-09-07T06:18:53.7015950Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/pybind11/config	remote.origin.url
2025-09-07T06:18:53.7050280Z Entering 'third_party/python-peachpy'
2025-09-07T06:18:53.7146210Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/python-peachpy/config	remote.origin.url
2025-09-07T06:18:53.7180670Z Entering 'third_party/sleef'
2025-09-07T06:18:53.7277520Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/sleef/config	remote.origin.url
2025-09-07T06:18:53.7312640Z Entering 'third_party/tensorpipe'
2025-09-07T06:18:53.7410750Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/config	remote.origin.url
2025-09-07T06:18:53.7443910Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-09-07T06:18:53.7541150Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/googletest/config	remote.origin.url
2025-09-07T06:18:53.7575090Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-09-07T06:18:53.7672410Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libnop/config	remote.origin.url
2025-09-07T06:18:53.7706770Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-09-07T06:18:53.7803820Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/libuv/config	remote.origin.url
2025-09-07T06:18:53.7838350Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-09-07T06:18:53.7935380Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/config	remote.origin.url
2025-09-07T06:18:53.7967350Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-09-07T06:18:53.8065050Z file:/Users/ec2-user/runner/_work/pytorch/pytorch/.git/modules/third_party/tensorpipe/modules/third_party/pybind11/modules/tools/clang/config	remote.origin.url
2025-09-07T06:18:53.8257180Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'git@github.com:'
2025-09-07T06:18:53.8755890Z Entering 'android/libs/fbjni'
2025-09-07T06:18:53.8840770Z Entering 'third_party/FP16'
2025-09-07T06:18:53.8923000Z Entering 'third_party/FXdiv'
2025-09-07T06:18:53.9002360Z Entering 'third_party/NNPACK'
2025-09-07T06:18:53.9085010Z Entering 'third_party/NVTX'
2025-09-07T06:18:53.9164830Z Entering 'third_party/VulkanMemoryAllocator'
2025-09-07T06:18:53.9247860Z Entering 'third_party/XNNPACK'
2025-09-07T06:18:53.9333520Z Entering 'third_party/aiter'
2025-09-07T06:18:53.9416650Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-09-07T06:18:53.9500050Z Entering 'third_party/benchmark'
2025-09-07T06:18:53.9583490Z Entering 'third_party/composable_kernel'
2025-09-07T06:18:53.9666260Z Entering 'third_party/cpp-httplib'
2025-09-07T06:18:53.9749280Z Entering 'third_party/cpuinfo'
2025-09-07T06:18:53.9832400Z Entering 'third_party/cudnn_frontend'
2025-09-07T06:18:53.9914760Z Entering 'third_party/cutlass'
2025-09-07T06:18:54.0000800Z Entering 'third_party/fbgemm'
2025-09-07T06:18:54.0083170Z Entering 'third_party/fbgemm/external/asmjit'
2025-09-07T06:18:54.0163940Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-09-07T06:18:54.0247820Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-09-07T06:18:54.0330960Z Entering 'third_party/fbgemm/external/cutlass'
2025-09-07T06:18:54.0414480Z Entering 'third_party/fbgemm/external/googletest'
2025-09-07T06:18:54.0496250Z Entering 'third_party/fbgemm/external/hipify_torch'
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2025-09-07T06:18:54.0662280Z Entering 'third_party/flash-attention'
2025-09-07T06:18:54.0744410Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-09-07T06:18:54.0826850Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-09-07T06:18:54.0913110Z Entering 'third_party/flatbuffers'
2025-09-07T06:18:54.0996420Z Entering 'third_party/fmt'
2025-09-07T06:18:54.1077450Z Entering 'third_party/gemmlowp/gemmlowp'
2025-09-07T06:18:54.1157690Z Entering 'third_party/gloo'
2025-09-07T06:18:54.1238600Z Entering 'third_party/googletest'
2025-09-07T06:18:54.1318750Z Entering 'third_party/ideep'
2025-09-07T06:18:54.1397870Z Entering 'third_party/ideep/mkl-dnn'
2025-09-07T06:18:54.1482750Z Entering 'third_party/ittapi'
2025-09-07T06:18:54.1566140Z Entering 'third_party/kineto'
2025-09-07T06:18:54.1646560Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-09-07T06:18:54.1726090Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-09-07T06:18:54.1807980Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-09-07T06:18:54.1888410Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-09-07T06:18:54.1972300Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-09-07T06:18:54.2051210Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-09-07T06:18:54.2133260Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-09-07T06:18:54.2214000Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-09-07T06:18:54.2293380Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-09-07T06:18:54.2373480Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-09-07T06:18:54.2454260Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-09-07T06:18:54.2533840Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-09-07T06:18:54.2616040Z Entering 'third_party/kleidiai'
2025-09-07T06:18:54.2697310Z Entering 'third_party/mimalloc'
2025-09-07T06:18:54.2779110Z Entering 'third_party/nlohmann'
2025-09-07T06:18:54.2858180Z Entering 'third_party/onnx'
2025-09-07T06:18:54.2943980Z Entering 'third_party/onnx/third_party/pybind11'
2025-09-07T06:18:54.3031030Z Entering 'third_party/opentelemetry-cpp'
2025-09-07T06:18:54.3109440Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-09-07T06:18:54.3188190Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-09-07T06:18:54.3267280Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-09-07T06:18:54.3346440Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-09-07T06:18:54.3425430Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-09-07T06:18:54.3504950Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-09-07T06:18:54.3585570Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-09-07T06:18:54.3663370Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-09-07T06:18:54.3745240Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-09-07T06:18:54.3827220Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-09-07T06:18:54.3917250Z Entering 'third_party/pocketfft'
2025-09-07T06:18:54.4002300Z Entering 'third_party/protobuf'
2025-09-07T06:18:54.4084060Z Entering 'third_party/protobuf/third_party/benchmark'
2025-09-07T06:18:54.4162770Z Entering 'third_party/protobuf/third_party/googletest'
2025-09-07T06:18:54.4243240Z Entering 'third_party/psimd'
2025-09-07T06:18:54.4324520Z Entering 'third_party/pthreadpool'
2025-09-07T06:18:54.4406560Z Entering 'third_party/pybind11'
2025-09-07T06:18:54.4487440Z Entering 'third_party/python-peachpy'
2025-09-07T06:18:54.4569350Z Entering 'third_party/sleef'
2025-09-07T06:18:54.4649210Z Entering 'third_party/tensorpipe'
2025-09-07T06:18:54.4727330Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-09-07T06:18:54.4807070Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-09-07T06:18:54.4888270Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-09-07T06:18:54.4968710Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-09-07T06:18:54.5049130Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-09-07T06:18:54.5143050Z [command]/usr/bin/git submodule foreach --recursive git config --local --add 'url.https://github.com/.insteadOf' 'org-21003710@github.com:'
2025-09-07T06:18:54.5630480Z Entering 'android/libs/fbjni'
2025-09-07T06:18:54.5713050Z Entering 'third_party/FP16'
2025-09-07T06:18:54.5793790Z Entering 'third_party/FXdiv'
2025-09-07T06:18:54.5874640Z Entering 'third_party/NNPACK'
2025-09-07T06:18:54.5956980Z Entering 'third_party/NVTX'
2025-09-07T06:18:54.6039170Z Entering 'third_party/VulkanMemoryAllocator'
2025-09-07T06:18:54.6120030Z Entering 'third_party/XNNPACK'
2025-09-07T06:18:54.6205670Z Entering 'third_party/aiter'
2025-09-07T06:18:54.6288190Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-09-07T06:18:54.6371430Z Entering 'third_party/benchmark'
2025-09-07T06:18:54.6452600Z Entering 'third_party/composable_kernel'
2025-09-07T06:18:54.6535650Z Entering 'third_party/cpp-httplib'
2025-09-07T06:18:54.6615170Z Entering 'third_party/cpuinfo'
2025-09-07T06:18:54.6694050Z Entering 'third_party/cudnn_frontend'
2025-09-07T06:18:54.6772500Z Entering 'third_party/cutlass'
2025-09-07T06:18:54.6855450Z Entering 'third_party/fbgemm'
2025-09-07T06:18:54.6936380Z Entering 'third_party/fbgemm/external/asmjit'
2025-09-07T06:18:54.7019130Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-09-07T06:18:54.7102860Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-09-07T06:18:54.7183660Z Entering 'third_party/fbgemm/external/cutlass'
2025-09-07T06:18:54.7268700Z Entering 'third_party/fbgemm/external/googletest'
2025-09-07T06:18:54.7349270Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-09-07T06:18:54.7427910Z Entering 'third_party/fbgemm/external/json'
2025-09-07T06:18:54.7509930Z Entering 'third_party/flash-attention'
2025-09-07T06:18:54.7591260Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-09-07T06:18:54.7672040Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-09-07T06:18:54.7757910Z Entering 'third_party/flatbuffers'
2025-09-07T06:18:54.7839970Z Entering 'third_party/fmt'
2025-09-07T06:18:54.7920660Z Entering 'third_party/gemmlowp/gemmlowp'
2025-09-07T06:18:54.8003540Z Entering 'third_party/gloo'
2025-09-07T06:18:54.8085230Z Entering 'third_party/googletest'
2025-09-07T06:18:54.8166750Z Entering 'third_party/ideep'
2025-09-07T06:18:54.8246290Z Entering 'third_party/ideep/mkl-dnn'
2025-09-07T06:18:54.8328790Z Entering 'third_party/ittapi'
2025-09-07T06:18:54.8410900Z Entering 'third_party/kineto'
2025-09-07T06:18:54.8489760Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-09-07T06:18:54.8567250Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-09-07T06:18:54.8649850Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-09-07T06:18:54.8731930Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-09-07T06:18:54.8815200Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-09-07T06:18:54.8895330Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-09-07T06:18:54.8977640Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-09-07T06:18:54.9057680Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-09-07T06:18:54.9139610Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-09-07T06:18:54.9221710Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-09-07T06:18:54.9303930Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-09-07T06:18:54.9382670Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-09-07T06:18:54.9463710Z Entering 'third_party/kleidiai'
2025-09-07T06:18:54.9545710Z Entering 'third_party/mimalloc'
2025-09-07T06:18:54.9626180Z Entering 'third_party/nlohmann'
2025-09-07T06:18:54.9706720Z Entering 'third_party/onnx'
2025-09-07T06:18:54.9793380Z Entering 'third_party/onnx/third_party/pybind11'
2025-09-07T06:18:54.9875630Z Entering 'third_party/opentelemetry-cpp'
2025-09-07T06:18:54.9956720Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-09-07T06:18:55.0036010Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-09-07T06:18:55.0115060Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-09-07T06:18:55.0195200Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-09-07T06:18:55.0276740Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-09-07T06:18:55.0362000Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-09-07T06:18:55.0444000Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-09-07T06:18:55.0524350Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-09-07T06:18:55.0605930Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-09-07T06:18:55.0686120Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-09-07T06:18:55.0777170Z Entering 'third_party/pocketfft'
2025-09-07T06:18:55.0861760Z Entering 'third_party/protobuf'
2025-09-07T06:18:55.0943910Z Entering 'third_party/protobuf/third_party/benchmark'
2025-09-07T06:18:55.1023390Z Entering 'third_party/protobuf/third_party/googletest'
2025-09-07T06:18:55.1104040Z Entering 'third_party/psimd'
2025-09-07T06:18:55.1185630Z Entering 'third_party/pthreadpool'
2025-09-07T06:18:55.1265570Z Entering 'third_party/pybind11'
2025-09-07T06:18:55.1344810Z Entering 'third_party/python-peachpy'
2025-09-07T06:18:55.1423520Z Entering 'third_party/sleef'
2025-09-07T06:18:55.1503580Z Entering 'third_party/tensorpipe'
2025-09-07T06:18:55.1583720Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-09-07T06:18:55.1663880Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-09-07T06:18:55.1744910Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-09-07T06:18:55.1826110Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-09-07T06:18:55.1905280Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-09-07T06:18:55.1997240Z ##[endgroup]
2025-09-07T06:18:55.2081630Z [command]/usr/bin/git log -1 --format=%H
2025-09-07T06:18:55.2148900Z 93fb23d6fae7c4e82c4239a1033e522088742634
2025-09-07T06:18:55.2205730Z ##[group]Run cd "${GITHUB_WORKSPACE}"
2025-09-07T06:18:55.2205930Z cd "${GITHUB_WORKSPACE}"
2025-09-07T06:18:55.2206100Z # Clean stale submodule dirs
2025-09-07T06:18:55.2206270Z if [ -z "${NO_SUDO}" ]; then
2025-09-07T06:18:55.2206480Z   sudo git submodule foreach --recursive git clean -ffdx
2025-09-07T06:18:55.2206690Z else
2025-09-07T06:18:55.2206860Z   git submodule foreach --recursive git clean -ffdx
2025-09-07T06:18:55.2207110Z fi
2025-09-07T06:18:55.2218760Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T06:18:55.2218960Z env:
2025-09-07T06:18:55.2219070Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:18:55.2219220Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:18:55.2219380Z   TEST_CONFIG: default
2025-09-07T06:18:55.2219510Z   SHARD_NUMBER: 1
2025-09-07T06:18:55.2219620Z   NUM_TEST_SHARDS: 3
2025-09-07T06:18:55.2219740Z   PR_BODY: 
2025-09-07T06:18:55.2219870Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:18:55.2220010Z   NO_SUDO: 
2025-09-07T06:18:55.2220110Z ##[endgroup]
2025-09-07T06:18:55.2964420Z Entering 'android/libs/fbjni'
2025-09-07T06:18:55.3095560Z Entering 'third_party/FP16'
2025-09-07T06:18:55.3179460Z Entering 'third_party/FXdiv'
2025-09-07T06:18:55.3255990Z Entering 'third_party/NNPACK'
2025-09-07T06:18:55.3486880Z Entering 'third_party/NVTX'
2025-09-07T06:18:55.3806230Z Entering 'third_party/VulkanMemoryAllocator'
2025-09-07T06:18:55.3942070Z Entering 'third_party/XNNPACK'
2025-09-07T06:18:55.7725980Z Entering 'third_party/aiter'
2025-09-07T06:18:55.8266690Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-09-07T06:18:56.0821420Z Entering 'third_party/benchmark'
2025-09-07T06:18:56.0963300Z Entering 'third_party/composable_kernel'
2025-09-07T06:18:56.3911170Z Entering 'third_party/cpp-httplib'
2025-09-07T06:18:56.4061560Z Entering 'third_party/cpuinfo'
2025-09-07T06:18:56.4292110Z Entering 'third_party/cudnn_frontend'
2025-09-07T06:18:56.4520360Z Entering 'third_party/cutlass'
2025-09-07T06:18:56.7055730Z Entering 'third_party/fbgemm'
2025-09-07T06:18:56.7721540Z Entering 'third_party/fbgemm/external/asmjit'
2025-09-07T06:18:56.7857950Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-09-07T06:18:57.0528220Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-09-07T06:18:57.0775750Z Entering 'third_party/fbgemm/external/cutlass'
2025-09-07T06:18:57.2455200Z Entering 'third_party/fbgemm/external/googletest'
2025-09-07T06:18:57.2642730Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-09-07T06:18:57.2716840Z Entering 'third_party/fbgemm/external/json'
2025-09-07T06:18:57.3142790Z Entering 'third_party/flash-attention'
2025-09-07T06:18:57.3566770Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-09-07T06:18:57.5847310Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-09-07T06:18:57.8155660Z Entering 'third_party/flatbuffers'
2025-09-07T06:18:57.9318590Z Entering 'third_party/fmt'
2025-09-07T06:18:57.9469690Z Entering 'third_party/gemmlowp/gemmlowp'
2025-09-07T06:18:57.9604250Z Entering 'third_party/gloo'
2025-09-07T06:18:57.9806550Z Entering 'third_party/googletest'
2025-09-07T06:18:57.9990090Z Entering 'third_party/ideep'
2025-09-07T06:18:58.0080390Z Entering 'third_party/ideep/mkl-dnn'
2025-09-07T06:18:58.2296960Z Entering 'third_party/ittapi'
2025-09-07T06:18:58.2458500Z Entering 'third_party/kineto'
2025-09-07T06:18:58.2686030Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-09-07T06:18:58.2917050Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-09-07T06:18:58.3460230Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-09-07T06:18:58.3596100Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-09-07T06:18:58.3771630Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-09-07T06:18:58.3855350Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-09-07T06:18:58.3915750Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-09-07T06:18:58.4027470Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-09-07T06:18:58.4219150Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-09-07T06:18:58.4610640Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-09-07T06:18:58.4711900Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-09-07T06:18:58.4862290Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-09-07T06:18:58.5045950Z Entering 'third_party/kleidiai'
2025-09-07T06:18:58.5349960Z Entering 'third_party/mimalloc'
2025-09-07T06:18:58.5544710Z Entering 'third_party/nlohmann'
2025-09-07T06:18:58.6045680Z Entering 'third_party/onnx'
2025-09-07T06:18:59.2084800Z Entering 'third_party/onnx/third_party/pybind11'
2025-09-07T06:18:59.2289060Z Entering 'third_party/opentelemetry-cpp'
2025-09-07T06:18:59.3067920Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-09-07T06:18:59.3212570Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-09-07T06:18:59.3389500Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-09-07T06:18:59.3479640Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-09-07T06:18:59.3912290Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-09-07T06:18:59.4010310Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-09-07T06:18:59.4127340Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-09-07T06:18:59.4276310Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-09-07T06:18:59.4928920Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-09-07T06:18:59.5117140Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-09-07T06:19:00.1187090Z Entering 'third_party/pocketfft'
2025-09-07T06:19:00.1247940Z Entering 'third_party/protobuf'
2025-09-07T06:19:00.2652900Z Entering 'third_party/protobuf/third_party/benchmark'
2025-09-07T06:19:00.2763710Z Entering 'third_party/protobuf/third_party/googletest'
2025-09-07T06:19:00.3001760Z Entering 'third_party/psimd'
2025-09-07T06:19:00.3067820Z Entering 'third_party/pthreadpool'
2025-09-07T06:19:00.3152090Z Entering 'third_party/pybind11'
2025-09-07T06:19:00.3386630Z Entering 'third_party/python-peachpy'
2025-09-07T06:19:00.3524280Z Entering 'third_party/sleef'
2025-09-07T06:19:00.3736920Z Entering 'third_party/tensorpipe'
2025-09-07T06:19:00.3961200Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-09-07T06:19:00.4132440Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-09-07T06:19:00.4261820Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-09-07T06:19:00.4517440Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-09-07T06:19:00.4584960Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-09-07T06:19:00.4701860Z Prepare all required actions
2025-09-07T06:19:00.4722020Z ##[group]Run ./.github/actions/get-workflow-job-id
2025-09-07T06:19:00.4722240Z with:
2025-09-07T06:19:00.4722620Z   github-token: ***
2025-09-07T06:19:00.4722750Z env:
2025-09-07T06:19:00.4722880Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:00.4723050Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:00.4723220Z   TEST_CONFIG: default
2025-09-07T06:19:00.4723360Z   SHARD_NUMBER: 1
2025-09-07T06:19:00.4723500Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:00.4723630Z   PR_BODY: 
2025-09-07T06:19:00.4723750Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:00.4723920Z ##[endgroup]
2025-09-07T06:19:00.4734240Z ##[group]Run set -eux
2025-09-07T06:19:00.4734420Z set -eux
2025-09-07T06:19:00.4734680Z python3 .github/scripts/get_workflow_job_id.py "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-09-07T06:19:00.4746450Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T06:19:00.4746660Z env:
2025-09-07T06:19:00.4746830Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:00.4747000Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:00.4747180Z   TEST_CONFIG: default
2025-09-07T06:19:00.4747320Z   SHARD_NUMBER: 1
2025-09-07T06:19:00.4747460Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:00.4747590Z   PR_BODY: 
2025-09-07T06:19:00.4747720Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:00.4747960Z   GITHUB_TOKEN: ***
2025-09-07T06:19:00.4748080Z ##[endgroup]
2025-09-07T06:19:00.4944900Z + python3 .github/scripts/get_workflow_job_id.py 17524754564 i-09537b716852f8064
2025-09-07T06:19:01.2919780Z Setting output job-id=49773898067
2025-09-07T06:19:01.2921810Z Setting output job-name=macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-09-07T06:19:01.3236550Z ##[group]Run pytorch/test-infra/.github/actions/setup-python@main
2025-09-07T06:19:01.3237250Z with:
2025-09-07T06:19:01.3237580Z   python-version: 3.12.7
2025-09-07T06:19:01.3238250Z   pip-requirements-file: .github/requirements/pip-requirements-macOS.txt
2025-09-07T06:19:01.3238920Z env:
2025-09-07T06:19:01.3239180Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:01.3239560Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:01.3239980Z   TEST_CONFIG: default
2025-09-07T06:19:01.3240330Z   SHARD_NUMBER: 1
2025-09-07T06:19:01.3240640Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:01.3240970Z   PR_BODY: 
2025-09-07T06:19:01.3241280Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:01.3241680Z ##[endgroup]
2025-09-07T06:19:01.3787600Z Warning: HomeBrew only supports version specified by major and minor, but got 3.12.7
2025-09-07T06:19:02.1621030Z ==> Updating Homebrew...
2025-09-07T06:19:03.6587860Z ==> Homebrew's analytics have entirely moved to our InfluxDB instance in the EU.
2025-09-07T06:19:03.6588330Z We gather less data than before and have destroyed all Google Analytics data:
2025-09-07T06:19:03.6588700Z   https://docs.brew.sh/Analytics
2025-09-07T06:19:03.6589040Z Please reconsider re-enabling analytics to help our volunteer maintainers with:
2025-09-07T06:19:03.6589580Z   brew analytics on
2025-09-07T06:19:03.6792730Z ==> Homebrew is run entirely by unpaid volunteers. Please consider donating:
2025-09-07T06:19:03.6793190Z   https://github.com/Homebrew/brew#donations
2025-09-07T06:19:03.6793360Z 
2025-09-07T06:19:04.3138480Z Already up-to-date.
2025-09-07T06:19:05.3232280Z ##[warning]python@3.12 3.12.11 is already installed and up-to-date.
To reinstall 3.12.11, run:
  brew reinstall python@3.12

2025-09-07T06:19:05.3538340Z Using python at /opt/homebrew/bin/python3.12 to create venv /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:06.6581510Z Installing requirements from .github/requirements/pip-requirements-macOS.txt
2025-09-07T06:19:06.9727650Z Collecting boto3==1.35.42 (from -r .github/requirements/pip-requirements-macOS.txt (line 1))
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2025-09-07T06:19:07.2737430Z Collecting ninja==1.10.2.4 (from -r .github/requirements/pip-requirements-macOS.txt (line 10))
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2025-09-07T06:19:07.3361540Z Collecting numba==0.59.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 11))
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2025-09-07T06:19:07.4202290Z Collecting numpy==1.26.4 (from -r .github/requirements/pip-requirements-macOS.txt (line 12))
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2025-09-07T06:19:07.4824620Z Collecting optree==0.13.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 14))
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2025-09-07T06:19:07.5007480Z Collecting packaging==23.1 (from -r .github/requirements/pip-requirements-macOS.txt (line 15))
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2025-09-07T06:19:07.5139120Z Collecting parameterized==0.8.1 (from -r .github/requirements/pip-requirements-macOS.txt (line 16))
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2025-09-07T06:19:07.6785810Z Collecting protobuf==5.29.4 (from -r .github/requirements/pip-requirements-macOS.txt (line 18))
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2025-09-07T06:19:07.7742630Z Collecting pytest-cpp==2.3.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 21))
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2025-09-07T06:19:07.8009550Z Collecting pytest-rerunfailures==10.3 (from -r .github/requirements/pip-requirements-macOS.txt (line 23))
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2025-09-07T06:19:07.8558590Z Collecting pytest==7.3.2 (from -r .github/requirements/pip-requirements-macOS.txt (line 26))
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2025-09-07T06:19:07.8814070Z Collecting pyyaml==6.0.2 (from -r .github/requirements/pip-requirements-macOS.txt (line 27))
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2025-09-07T06:19:07.9401350Z Collecting scipy==1.12.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 28))
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2025-09-07T06:19:08.0315360Z Collecting setuptools==72.1.0 (from -r .github/requirements/pip-requirements-macOS.txt (line 29))
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2025-09-07T06:19:08.1048100Z Collecting typing-extensions==4.12.2 (from -r .github/requirements/pip-requirements-macOS.txt (line 33))
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2025-09-07T06:19:11.8669170Z Using cached propcache-0.3.2-cp312-cp312-macosx_11_0_arm64.whl (43 kB)
2025-09-07T06:19:11.8692410Z Using cached pyasn1-0.6.1-py3-none-any.whl (83 kB)
2025-09-07T06:19:11.8709120Z Using cached pyasn1_modules-0.4.2-py3-none-any.whl (181 kB)
2025-09-07T06:19:11.8728590Z Using cached requests_oauthlib-2.0.0-py2.py3-none-any.whl (24 kB)
2025-09-07T06:19:11.8743340Z Using cached oauthlib-3.3.1-py3-none-any.whl (160 kB)
2025-09-07T06:19:11.8763860Z Using cached scikit_learn-1.7.1-cp312-cp312-macosx_12_0_arm64.whl (8.6 MB)
2025-09-07T06:19:11.9594520Z Using cached soundfile-0.13.1-py2.py3-none-macosx_11_0_arm64.whl (1.1 MB)
2025-09-07T06:19:11.9727370Z Using cached cffi-1.17.1-cp312-cp312-macosx_11_0_arm64.whl (178 kB)
2025-09-07T06:19:11.9767560Z Using cached soxr-0.5.0.post1-cp312-abi3-macosx_11_0_arm64.whl (156 kB)
2025-09-07T06:19:11.9790530Z Using cached threadpoolctl-3.6.0-py3-none-any.whl (18 kB)
2025-09-07T06:19:11.9809490Z Using cached werkzeug-3.1.3-py3-none-any.whl (224 kB)
2025-09-07T06:19:11.9840170Z Using cached MarkupSafe-3.0.2-cp312-cp312-macosx_11_0_arm64.whl (12 kB)
2025-09-07T06:19:11.9861010Z Using cached wheel-0.45.1-py3-none-any.whl (72 kB)
2025-09-07T06:19:11.9878810Z Using cached colorama-0.4.6-py2.py3-none-any.whl (25 kB)
2025-09-07T06:19:11.9902770Z Using cached iniconfig-2.1.0-py3-none-any.whl (6.0 kB)
2025-09-07T06:19:11.9925280Z Using cached lxml-6.0.1-cp312-cp312-macosx_10_13_universal2.whl (8.4 MB)
2025-09-07T06:19:12.0723520Z Using cached pycparser-2.22-py3-none-any.whl (117 kB)
2025-09-07T06:19:12.3600660Z Installing collected packages: z3-solver, sortedcontainers, ply, parameterized, ninja, mpmath, cmake, wheel, urllib3, typing-extensions, tlparse, threadpoolctl, tensorboard-data-server, sympy, six, setuptools, pyyaml, pygments, pycparser, pyasn1, psutil, protobuf, propcache, pluggy, platformdirs, pillow, packaging, opt-einsum, oauthlib, numpy, networkx, multidict, msgpack, MarkupSafe, markdown, lxml, llvmlite, joblib, jmespath, iniconfig, idna, grpcio, frozenlist, filelock, expecttest, execnet, decorator, colorama, charset_normalizer, certifi, cachetools, audioread, attrs, aiohappyeyeballs, absl-py, yarl, xdoctest, werkzeug, unittest-xml-reporting, thriftpy2, soxr, scipy, rsa, requests, python-dateutil, pytest, pyasn1-modules, optree, numba, lazy_loader, hypothesis, cffi, aiosignal, soundfile, scikit-learn, requests-oauthlib, pytest-xdist, pytest-subtests, pytest-rerunfailures, pytest-flakefinder, pytest-cpp, pooch, google-auth, botocore, aiohttp, s3transfer, librosa, google-auth-oauthlib, fbscribelogger, tensorboard, boto3
2025-09-07T06:19:26.7832690Z 
2025-09-07T06:19:26.7874750Z Successfully installed MarkupSafe-3.0.2 absl-py-2.3.1 aiohappyeyeballs-2.6.1 aiohttp-3.12.15 aiosignal-1.4.0 attrs-25.3.0 audioread-3.0.1 boto3-1.35.42 botocore-1.35.99 cachetools-5.5.2 certifi-2025.8.3 cffi-1.17.1 charset_normalizer-3.4.3 cmake-3.27.9 colorama-0.4.6 decorator-5.2.1 execnet-2.1.1 expecttest-0.3.0 fbscribelogger-0.1.7 filelock-3.18.0 frozenlist-1.7.0 google-auth-2.40.3 google-auth-oauthlib-1.0.0 grpcio-1.74.0 hypothesis-6.56.4 idna-3.10 iniconfig-2.1.0 jmespath-1.0.1 joblib-1.5.2 lazy_loader-0.4 librosa-0.11.0 llvmlite-0.42.0 lxml-6.0.1 markdown-3.9 mpmath-1.3.0 msgpack-1.1.1 multidict-6.6.4 networkx-2.8.7 ninja-1.10.2.4 numba-0.59.0 numpy-1.26.4 oauthlib-3.3.1 opt-einsum-3.4.0 optree-0.13.0 packaging-23.1 parameterized-0.8.1 pillow-10.3.0 platformdirs-4.4.0 pluggy-1.6.0 ply-3.11 pooch-1.8.2 propcache-0.3.2 protobuf-5.29.4 psutil-5.9.8 pyasn1-0.6.1 pyasn1-modules-0.4.2 pycparser-2.22 pygments-2.15.0 pytest-7.3.2 pytest-cpp-2.3.0 pytest-flakefinder-1.1.0 pytest-rerunfailures-10.3 pytest-subtests-0.13.1 pytest-xdist-3.3.1 python-dateutil-2.9.0.post0 pyyaml-6.0.2 requests-2.32.5 requests-oauthlib-2.0.0 rsa-4.9.1 s3transfer-0.10.4 scikit-learn-1.7.1 scipy-1.12.0 setuptools-72.1.0 six-1.17.0 sortedcontainers-2.4.0 soundfile-0.13.1 soxr-0.5.0.post1 sympy-1.13.3 tensorboard-2.13.0 tensorboard-data-server-0.7.2 threadpoolctl-3.6.0 thriftpy2-0.5.3 tlparse-0.4.0 typing-extensions-4.12.2 unittest-xml-reporting-3.2.0 urllib3-2.5.0 werkzeug-3.1.3 wheel-0.45.1 xdoctest-1.1.0 yarl-1.20.1 z3-solver-4.15.1.0
2025-09-07T06:19:26.8210410Z 
2025-09-07T06:19:26.8210700Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T06:19:26.8211160Z [notice] To update, run: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python -m pip install --upgrade pip
2025-09-07T06:19:27.4900570Z ##[group]Run "$VENV_PATH/bin/python3" -m pip install psutil==5.9.8 dataclasses_json==0.6.7
2025-09-07T06:19:27.4900970Z "$VENV_PATH/bin/python3" -m pip install psutil==5.9.8 dataclasses_json==0.6.7
2025-09-07T06:19:27.4901540Z "$VENV_PATH/bin/python3" -m tools.stats.monitor --log-interval "$MONITOR_LOG_INTERVAL" --data-collect-interval "$MONITOR_DATA_COLLECT_INTERVAL" > usage_log.txt 2>&1 &
2025-09-07T06:19:27.4902070Z echo "monitor-script-pid=${!}" >> "${GITHUB_OUTPUT}"
2025-09-07T06:19:27.4915050Z shell: /bin/bash -e -l {0}
2025-09-07T06:19:27.4915190Z env:
2025-09-07T06:19:27.4915300Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:27.4915450Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:27.4915620Z   TEST_CONFIG: default
2025-09-07T06:19:27.4915740Z   SHARD_NUMBER: 1
2025-09-07T06:19:27.4915860Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:27.4915980Z   PR_BODY: 
2025-09-07T06:19:27.4916100Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:27.4916330Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:27.4916560Z   JOB_ID: 49773898067
2025-09-07T06:19:27.4916760Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-09-07T06:19:27.4916980Z   WORKFLOW_NAME: trunk
2025-09-07T06:19:27.4917120Z   WORKFLOW_RUN_ID: 17524754564
2025-09-07T06:19:27.4917270Z   MONITOR_LOG_INTERVAL: 5
2025-09-07T06:19:27.4917420Z   MONITOR_DATA_COLLECT_INTERVAL: 1
2025-09-07T06:19:27.4917560Z ##[endgroup]
2025-09-07T06:19:27.6804440Z Requirement already satisfied: psutil==5.9.8 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (5.9.8)
2025-09-07T06:19:27.7071030Z Collecting dataclasses_json==0.6.7
2025-09-07T06:19:27.7098850Z   Using cached dataclasses_json-0.6.7-py3-none-any.whl.metadata (25 kB)
2025-09-07T06:19:27.7357100Z Collecting marshmallow<4.0.0,>=3.18.0 (from dataclasses_json==0.6.7)
2025-09-07T06:19:27.7376800Z   Using cached marshmallow-3.26.1-py3-none-any.whl.metadata (7.3 kB)
2025-09-07T06:19:27.7485340Z Collecting typing-inspect<1,>=0.4.0 (from dataclasses_json==0.6.7)
2025-09-07T06:19:27.7500380Z   Using cached typing_inspect-0.9.0-py3-none-any.whl.metadata (1.5 kB)
2025-09-07T06:19:27.7538220Z Requirement already satisfied: packaging>=17.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (23.1)
2025-09-07T06:19:27.7600650Z Collecting mypy-extensions>=0.3.0 (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7)
2025-09-07T06:19:27.7617370Z   Using cached mypy_extensions-1.1.0-py3-none-any.whl.metadata (1.1 kB)
2025-09-07T06:19:27.7651180Z Requirement already satisfied: typing-extensions>=3.7.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.12.2)
2025-09-07T06:19:27.7671380Z Using cached dataclasses_json-0.6.7-py3-none-any.whl (28 kB)
2025-09-07T06:19:27.7695560Z Using cached marshmallow-3.26.1-py3-none-any.whl (50 kB)
2025-09-07T06:19:27.7715230Z Using cached typing_inspect-0.9.0-py3-none-any.whl (8.8 kB)
2025-09-07T06:19:27.7734900Z Using cached mypy_extensions-1.1.0-py3-none-any.whl (5.0 kB)
2025-09-07T06:19:27.8473780Z Installing collected packages: mypy-extensions, marshmallow, typing-inspect, dataclasses_json
2025-09-07T06:19:27.8931050Z 
2025-09-07T06:19:27.8967110Z Successfully installed dataclasses_json-0.6.7 marshmallow-3.26.1 mypy-extensions-1.1.0 typing-inspect-0.9.0
2025-09-07T06:19:27.8989260Z 
2025-09-07T06:19:27.8989530Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T06:19:27.8989820Z [notice] To update, run: pip install --upgrade pip
2025-09-07T06:19:27.9341160Z Prepare all required actions
2025-09-07T06:19:27.9341400Z Getting action download info
2025-09-07T06:19:28.0936470Z Download action repository 'seemethere/download-artifact-s3@v4' (SHA:1da556a7aa0a088e3153970611f6c432d58e80e6)
2025-09-07T06:19:28.3031340Z Download action repository 'actions/download-artifact@v4' (SHA:d3f86a106a0bac45b974a628896c90dbdf5c8093)
2025-09-07T06:19:28.5142790Z ##[group]Run ./.github/actions/download-build-artifacts
2025-09-07T06:19:28.5143080Z with:
2025-09-07T06:19:28.5143220Z   name: macos-py3-arm64
2025-09-07T06:19:28.5143370Z   use-gha: true
2025-09-07T06:19:28.5143530Z   s3-bucket: gha-artifacts
2025-09-07T06:19:28.5143680Z env:
2025-09-07T06:19:28.5143820Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:28.5143990Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:28.5144170Z   TEST_CONFIG: default
2025-09-07T06:19:28.5144340Z   SHARD_NUMBER: 1
2025-09-07T06:19:28.5144470Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:28.5144600Z   PR_BODY: 
2025-09-07T06:19:28.5144750Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:28.5145000Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:28.5145250Z ##[endgroup]
2025-09-07T06:19:28.5174580Z ##[group]Run actions/download-artifact@v4
2025-09-07T06:19:28.5174770Z with:
2025-09-07T06:19:28.5174910Z   name: macos-py3-arm64
2025-09-07T06:19:28.5175070Z   merge-multiple: false
2025-09-07T06:19:28.5175230Z   repository: pytorch/pytorch
2025-09-07T06:19:28.5175400Z   run-id: 17524754564
2025-09-07T06:19:28.5175550Z env:
2025-09-07T06:19:28.5175670Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:28.5175880Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:28.5176070Z   TEST_CONFIG: default
2025-09-07T06:19:28.5176220Z   SHARD_NUMBER: 1
2025-09-07T06:19:28.5176350Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:28.5185420Z   PR_BODY: 
2025-09-07T06:19:28.5185570Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:28.5185810Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:28.5186070Z ##[endgroup]
2025-09-07T06:19:28.6553040Z Downloading single artifact
2025-09-07T06:19:28.7275830Z Preparing to download the following artifacts:
2025-09-07T06:19:28.7276420Z - macos-py3-arm64 (ID: 3946318124, Size: 71771883, Expected Digest: sha256:050603c2cbb29a5a7810ae03b7998007a9706e82394b51e98750c0679235789a)
2025-09-07T06:19:28.7814570Z Redirecting to blob download url: https://productionresultssa8.blob.core.windows.net/actions-results/f409845e-2ea6-41ce-a516-e066432415ca/workflow-job-run-c5848ebe-9d93-53e5-bf44-77db4c75f816/artifacts/e6751562b1f6f20bcd6ad8a8dad1f3c02045e3fad46dd739dee73dcfde9461bb.zip
2025-09-07T06:19:28.7816450Z Starting download of artifact to: /Users/ec2-user/runner/_work/pytorch/pytorch
2025-09-07T06:19:28.8719420Z (node:83885) [DEP0005] DeprecationWarning: Buffer() is deprecated due to security and usability issues. Please use the Buffer.alloc(), Buffer.allocUnsafe(), or Buffer.from() methods instead.
2025-09-07T06:19:28.8721930Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-09-07T06:19:29.6122150Z SHA256 digest of downloaded artifact is 050603c2cbb29a5a7810ae03b7998007a9706e82394b51e98750c0679235789a
2025-09-07T06:19:29.6122570Z Artifact download completed successfully.
2025-09-07T06:19:29.6122820Z Total of 1 artifact(s) downloaded
2025-09-07T06:19:29.6126610Z Download artifact has finished successfully
2025-09-07T06:19:29.6174490Z ##[group]Run unzip -o artifacts.zip
2025-09-07T06:19:29.6174750Z unzip -o artifacts.zip
2025-09-07T06:19:29.6187220Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T06:19:29.6187560Z env:
2025-09-07T06:19:29.6187700Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:29.6187870Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:29.6188070Z   TEST_CONFIG: default
2025-09-07T06:19:29.6188230Z   SHARD_NUMBER: 1
2025-09-07T06:19:29.6188370Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:29.6188510Z   PR_BODY: 
2025-09-07T06:19:29.6188660Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:29.6189270Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:29.6189530Z ##[endgroup]
2025-09-07T06:19:29.6491790Z Archive:  artifacts.zip
2025-09-07T06:19:29.6492080Z    creating: dist/
2025-09-07T06:19:30.0989750Z   inflating: dist/torch-2.9.0a0+git93fb23d-cp312-cp312-macosx_11_0_arm64.whl  
2025-09-07T06:19:30.1115770Z   inflating: build/.ninja_log        
2025-09-07T06:19:30.1668960Z   inflating: build/compile_commands.json  
2025-09-07T06:19:30.1669240Z    creating: .additional_ci_files/
2025-09-07T06:19:30.1745440Z   inflating: .additional_ci_files/test-times.json  
2025-09-07T06:19:30.2092600Z   inflating: .additional_ci_files/test-class-times.json  
2025-09-07T06:19:30.2113880Z ##[group]Run rm artifacts.zip
2025-09-07T06:19:30.2114110Z rm artifacts.zip
2025-09-07T06:19:30.2126360Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T06:19:30.2126610Z env:
2025-09-07T06:19:30.2126740Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:30.2126970Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:30.2127160Z   TEST_CONFIG: default
2025-09-07T06:19:30.2127330Z   SHARD_NUMBER: 1
2025-09-07T06:19:30.2127470Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:30.2127620Z   PR_BODY: 
2025-09-07T06:19:30.2127770Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:30.2128020Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:30.2128260Z ##[endgroup]
2025-09-07T06:19:30.2377150Z ##[group]Run df -H
2025-09-07T06:19:30.2377380Z df -H
2025-09-07T06:19:30.2389120Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T06:19:30.2389380Z env:
2025-09-07T06:19:30.2389510Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:30.2389700Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:30.2389900Z   TEST_CONFIG: default
2025-09-07T06:19:30.2390050Z   SHARD_NUMBER: 1
2025-09-07T06:19:30.2390190Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:30.2390370Z   PR_BODY: 
2025-09-07T06:19:30.2390510Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:30.2390780Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:30.2391030Z ##[endgroup]
2025-09-07T06:19:30.2612610Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-09-07T06:19:30.2613100Z /dev/disk5s2s1    275G     10G    192G     6%    404k  1.9G    0%   /
2025-09-07T06:19:30.2613430Z devfs             222k    222k      0B   100%     752     0  100%   /dev
2025-09-07T06:19:30.2613780Z /dev/disk5s5      275G   2148M    192G     2%       2  1.9G    0%   /System/Volumes/VM
2025-09-07T06:19:30.2614160Z /dev/disk5s3      275G   6122M    192G     4%    1.0k  1.9G    0%   /System/Volumes/Preboot
2025-09-07T06:19:30.2614760Z /dev/disk1s2      524M   6312k    406M     2%       1  4.0M    0%   /System/Volumes/xarts
2025-09-07T06:19:30.2615180Z /dev/disk1s1      524M     56M    406M    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-09-07T06:19:30.2615560Z /dev/disk1s3      524M    872k    406M     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-09-07T06:19:30.2615950Z /dev/disk5s1      275G     63G    192G    25%    2.5M  1.9G    0%   /System/Volumes/Data
2025-09-07T06:19:30.2616300Z map auto_home       0B      0B      0B   100%       0     0     -   /System/Volumes/Data/home
2025-09-07T06:19:30.2616660Z /dev/disk3s4      245G    123k    226G     1%      18  2.2G    0%   /private/tmp/tmp-mount-QQILuO
2025-09-07T06:19:30.2658760Z Prepare all required actions
2025-09-07T06:19:30.2659050Z Getting action download info
2025-09-07T06:19:30.4158800Z ##[group]Run ./.github/actions/download-td-artifacts
2025-09-07T06:19:30.4159130Z with:
2025-09-07T06:19:30.4159440Z   use-gha: true
2025-09-07T06:19:30.4159650Z env:
2025-09-07T06:19:30.4159860Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:30.4160140Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:30.4160430Z   TEST_CONFIG: default
2025-09-07T06:19:30.4160680Z   SHARD_NUMBER: 1
2025-09-07T06:19:30.4160900Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:30.4161130Z   PR_BODY: 
2025-09-07T06:19:30.4161350Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:30.4161730Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:30.4162130Z ##[endgroup]
2025-09-07T06:19:30.4197220Z ##[group]Run actions/download-artifact@v4
2025-09-07T06:19:30.4197520Z with:
2025-09-07T06:19:30.4197700Z   name: td_results.json
2025-09-07T06:19:30.4198000Z   merge-multiple: false
2025-09-07T06:19:30.4198280Z   repository: pytorch/pytorch
2025-09-07T06:19:30.4198530Z   run-id: 17524754564
2025-09-07T06:19:30.4198760Z env:
2025-09-07T06:19:30.4198940Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:30.4199220Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:30.4199500Z   TEST_CONFIG: default
2025-09-07T06:19:30.4199690Z   SHARD_NUMBER: 1
2025-09-07T06:19:30.4199880Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:30.4200070Z   PR_BODY: 
2025-09-07T06:19:30.4200250Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:30.4200600Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:30.4200930Z ##[endgroup]
2025-09-07T06:19:30.5492280Z Downloading single artifact
2025-09-07T06:19:30.6173590Z Preparing to download the following artifacts:
2025-09-07T06:19:30.6174170Z - td_results.json (ID: 3946326711, Size: 19220, Expected Digest: sha256:4e50bd2991661035d54df10b0e14dca1ccff030566b5a2ef39646fe4ad849fc4)
2025-09-07T06:19:30.6713920Z Redirecting to blob download url: https://productionresultssa8.blob.core.windows.net/actions-results/f409845e-2ea6-41ce-a516-e066432415ca/workflow-job-run-0964f1a9-7ceb-547d-8790-c99bb392f0cc/artifacts/adc6e1455d65305bef307fe59db64c62b28fcb8f1e044d47ac9f5a2f27485441.zip
2025-09-07T06:19:30.6715630Z Starting download of artifact to: /Users/ec2-user/runner/_work/pytorch/pytorch
2025-09-07T06:19:30.7172980Z (node:83892) [DEP0005] DeprecationWarning: Buffer() is deprecated due to security and usability issues. Please use the Buffer.alloc(), Buffer.allocUnsafe(), or Buffer.from() methods instead.
2025-09-07T06:19:30.7174570Z (Use `node --trace-deprecation ...` to show where the warning was created)
2025-09-07T06:19:30.7237820Z SHA256 digest of downloaded artifact is 4e50bd2991661035d54df10b0e14dca1ccff030566b5a2ef39646fe4ad849fc4
2025-09-07T06:19:30.7238610Z Artifact download completed successfully.
2025-09-07T06:19:30.7239080Z Total of 1 artifact(s) downloaded
2025-09-07T06:19:30.7244740Z Download artifact has finished successfully
2025-09-07T06:19:30.7328270Z ##[group]Run mkdir -p .additional_ci_files
2025-09-07T06:19:30.7328740Z mkdir -p .additional_ci_files
2025-09-07T06:19:30.7329250Z mv td_results.json .additional_ci_files/td_results.json || true
2025-09-07T06:19:30.7349940Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T06:19:30.7350460Z env:
2025-09-07T06:19:30.7350720Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:30.7351040Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:30.7351410Z   TEST_CONFIG: default
2025-09-07T06:19:30.7351690Z   SHARD_NUMBER: 1
2025-09-07T06:19:30.7351950Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:30.7352210Z   PR_BODY: 
2025-09-07T06:19:30.7352470Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:30.7352930Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:30.7353400Z ##[endgroup]
2025-09-07T06:19:30.7667170Z ##[group]Run .github/scripts/parse_ref.py
2025-09-07T06:19:30.7667520Z .github/scripts/parse_ref.py
2025-09-07T06:19:30.7679850Z shell: /bin/bash -e -l {0}
2025-09-07T06:19:30.7680040Z env:
2025-09-07T06:19:30.7680180Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:30.7680360Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:30.7680580Z   TEST_CONFIG: default
2025-09-07T06:19:30.7680850Z   SHARD_NUMBER: 1
2025-09-07T06:19:30.7681020Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:30.7681170Z   PR_BODY: 
2025-09-07T06:19:30.7681330Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:30.7681600Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:30.7681870Z ##[endgroup]
2025-09-07T06:19:30.8367990Z Setting output branch=main
2025-09-07T06:19:30.8454110Z Prepare all required actions
2025-09-07T06:19:30.8454360Z Getting action download info
2025-09-07T06:19:30.9629790Z Download action repository 'nick-fields/retry@v3.0.0' (SHA:7152eba30c6575329ac0576536151aca5a72780e)
2025-09-07T06:19:31.1899810Z ##[group]Run ./.github/actions/filter-test-configs
2025-09-07T06:19:31.1900040Z with:
2025-09-07T06:19:31.1900280Z   github-token: ***
2025-09-07T06:19:31.1901040Z   test-matrix: {"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}
2025-09-07T06:19:31.1901920Z   job-name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-09-07T06:19:31.1902170Z env:
2025-09-07T06:19:31.1902330Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:31.1902580Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:31.1902770Z   TEST_CONFIG: default
2025-09-07T06:19:31.1902920Z   SHARD_NUMBER: 1
2025-09-07T06:19:31.1903080Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:31.1903220Z   PR_BODY: 
2025-09-07T06:19:31.1903360Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:31.1903590Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:31.1903810Z ##[endgroup]
2025-09-07T06:19:31.1925020Z ##[group]Run nick-fields/retry@v3.0.0
2025-09-07T06:19:31.1925210Z with:
2025-09-07T06:19:31.1925330Z   shell: bash
2025-09-07T06:19:31.1925460Z   timeout_minutes: 10
2025-09-07T06:19:31.1925630Z   max_attempts: 5
2025-09-07T06:19:31.1925770Z   retry_wait_seconds: 30
2025-09-07T06:19:31.1926260Z   command: set -eux
# PyYAML 6.0 doesn't work with MacOS x86 anymore
# This must run on Python-3.7 (AmazonLinux2) so can't use request=3.32.2
python3 -m pip install requests==2.27.1 pyyaml==6.0.2

2025-09-07T06:19:31.1926750Z   polling_interval_seconds: 1
2025-09-07T06:19:31.1926950Z   warning_on_retry: true
2025-09-07T06:19:31.1927160Z   continue_on_error: false
2025-09-07T06:19:31.1927340Z env:
2025-09-07T06:19:31.1927470Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:31.1927650Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:31.1927840Z   TEST_CONFIG: default
2025-09-07T06:19:31.1927980Z   SHARD_NUMBER: 1
2025-09-07T06:19:31.1928100Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:31.1928240Z   PR_BODY: 
2025-09-07T06:19:31.1928380Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:31.1928600Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:31.1928990Z   GITHUB_TOKEN: ***
2025-09-07T06:19:31.1929140Z ##[endgroup]
2025-09-07T06:19:31.2624340Z + python3 -m pip install requests==2.27.1 pyyaml==6.0.2
2025-09-07T06:19:31.4564250Z Collecting requests==2.27.1
2025-09-07T06:19:31.4579570Z   Using cached requests-2.27.1-py2.py3-none-any.whl.metadata (5.0 kB)
2025-09-07T06:19:31.4621480Z Requirement already satisfied: pyyaml==6.0.2 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (6.0.2)
2025-09-07T06:19:31.4748030Z Collecting urllib3<1.27,>=1.21.1 (from requests==2.27.1)
2025-09-07T06:19:31.4769750Z   Using cached urllib3-1.26.20-py2.py3-none-any.whl.metadata (50 kB)
2025-09-07T06:19:31.4841990Z Requirement already satisfied: certifi>=2017.4.17 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from requests==2.27.1) (2025.8.3)
2025-09-07T06:19:31.5214490Z Collecting charset-normalizer~=2.0.0 (from requests==2.27.1)
2025-09-07T06:19:31.5230660Z   Using cached charset_normalizer-2.0.12-py3-none-any.whl.metadata (11 kB)
2025-09-07T06:19:31.5272680Z Requirement already satisfied: idna<4,>=2.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from requests==2.27.1) (3.10)
2025-09-07T06:19:31.5306740Z Using cached requests-2.27.1-py2.py3-none-any.whl (63 kB)
2025-09-07T06:19:31.5334470Z Using cached charset_normalizer-2.0.12-py3-none-any.whl (39 kB)
2025-09-07T06:19:31.5355100Z Using cached urllib3-1.26.20-py2.py3-none-any.whl (144 kB)
2025-09-07T06:19:31.6133380Z Installing collected packages: urllib3, charset-normalizer, requests
2025-09-07T06:19:31.6135350Z   Attempting uninstall: urllib3
2025-09-07T06:19:31.6146960Z     Found existing installation: urllib3 2.5.0
2025-09-07T06:19:31.6181660Z     Uninstalling urllib3-2.5.0:
2025-09-07T06:19:31.6182240Z       Successfully uninstalled urllib3-2.5.0
2025-09-07T06:19:31.6634990Z   Attempting uninstall: charset-normalizer
2025-09-07T06:19:31.6655880Z     Found existing installation: charset-normalizer 3.4.3
2025-09-07T06:19:31.6674510Z     Uninstalling charset-normalizer-3.4.3:
2025-09-07T06:19:31.6683630Z       Successfully uninstalled charset-normalizer-3.4.3
2025-09-07T06:19:31.6874800Z   Attempting uninstall: requests
2025-09-07T06:19:31.6888840Z     Found existing installation: requests 2.32.5
2025-09-07T06:19:31.6904220Z     Uninstalling requests-2.32.5:
2025-09-07T06:19:31.6909820Z       Successfully uninstalled requests-2.32.5
2025-09-07T06:19:31.7139650Z 
2025-09-07T06:19:31.7175770Z Successfully installed charset-normalizer-2.0.12 requests-2.27.1 urllib3-1.26.20
2025-09-07T06:19:31.7197190Z 
2025-09-07T06:19:31.7197420Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T06:19:31.7197730Z [notice] To update, run: pip install --upgrade pip
2025-09-07T06:19:32.2645180Z Command completed after 1 attempt(s).
2025-09-07T06:19:32.2778880Z ##[group]Run set -x
2025-09-07T06:19:32.2779690Z set -x
2025-09-07T06:19:32.2780350Z 
2025-09-07T06:19:32.2781530Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-09-07T06:19:32.2782870Z # in runner workspace
2025-09-07T06:19:32.2783940Z python3 "${GITHUB_ACTION_PATH}/../../scripts/parse_ref.py"
2025-09-07T06:19:32.2833740Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T06:19:32.2834520Z env:
2025-09-07T06:19:32.2835170Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:32.2835810Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:32.2836540Z   TEST_CONFIG: default
2025-09-07T06:19:32.2837110Z   SHARD_NUMBER: 1
2025-09-07T06:19:32.2837610Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:32.2838170Z   PR_BODY: 
2025-09-07T06:19:32.2838690Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:32.2839470Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:32.2840340Z ##[endgroup]
2025-09-07T06:19:32.3301750Z + python3 /Users/ec2-user/runner/_work/pytorch/pytorch/./.github/actions/filter-test-configs/../../scripts/parse_ref.py
2025-09-07T06:19:32.3498400Z Setting output branch=main
2025-09-07T06:19:32.3557710Z ##[group]Run echo "Workflow: ${GITHUB_WORKFLOW}"
2025-09-07T06:19:32.3558000Z echo "Workflow: ${GITHUB_WORKFLOW}"
2025-09-07T06:19:32.3558240Z echo "Job name: ${JOB_NAME}"
2025-09-07T06:19:32.3558440Z 
2025-09-07T06:19:32.3558720Z # Use relative path here as this could be checked out anywhere, not necessarily
2025-09-07T06:19:32.3559030Z # in runner workspace
2025-09-07T06:19:32.3559330Z python3 "${GITHUB_ACTION_PATH}/../../scripts/filter_test_configs.py" \
2025-09-07T06:19:32.3559650Z   --workflow "${GITHUB_WORKFLOW}" \
2025-09-07T06:19:32.3559870Z   --job-name "${JOB_NAME}" \
2025-09-07T06:19:32.3560770Z   --test-matrix "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}" \
2025-09-07T06:19:32.3561770Z   --selected-test-configs "" \
2025-09-07T06:19:32.3562010Z   --pr-number "${PR_NUMBER}" \
2025-09-07T06:19:32.3562410Z   --tag "${TAG}" \
2025-09-07T06:19:32.3562620Z   --event-name "${EVENT_NAME}" \
2025-09-07T06:19:32.3562840Z   --schedule "${SCHEDULE}" \
2025-09-07T06:19:32.3563040Z   --branch "${HEAD_BRANCH}"
2025-09-07T06:19:32.3575280Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T06:19:32.3575520Z env:
2025-09-07T06:19:32.3575670Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:32.3575850Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:32.3576070Z   TEST_CONFIG: default
2025-09-07T06:19:32.3576240Z   SHARD_NUMBER: 1
2025-09-07T06:19:32.3576390Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:32.3576560Z   PR_BODY: 
2025-09-07T06:19:32.3576710Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:32.3576980Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:32.3577470Z   GITHUB_TOKEN: ***
2025-09-07T06:19:32.3577720Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-09-07T06:19:32.3577970Z   PR_NUMBER: 
2025-09-07T06:19:32.3578120Z   TAG: 
2025-09-07T06:19:32.3578250Z   EVENT_NAME: push
2025-09-07T06:19:32.3578400Z   SCHEDULE: 
2025-09-07T06:19:32.3578550Z   HEAD_BRANCH: main
2025-09-07T06:19:32.3578700Z ##[endgroup]
2025-09-07T06:19:32.3787620Z Workflow: trunk
2025-09-07T06:19:32.3787970Z Job name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-09-07T06:19:32.6477980Z Setting output keep-going=True
2025-09-07T06:19:32.6478370Z Setting output ci-verbose-test-logs=False
2025-09-07T06:19:32.6478740Z Setting output ci-test-showlocals=False
2025-09-07T06:19:32.6479130Z Setting output ci-no-test-timeout=False
2025-09-07T06:19:32.6479510Z Setting output ci-no-td=False
2025-09-07T06:19:32.6479850Z Setting output ci-td-distributed=False
2025-09-07T06:19:32.6480210Z Setting output is-unstable=False
2025-09-07T06:19:32.6480520Z Setting output reenabled-issues=
2025-09-07T06:19:32.6482010Z Setting output test-matrix={"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}
2025-09-07T06:19:32.6483500Z Setting output is-test-matrix-empty=False
2025-09-07T06:19:32.6613860Z ##[group]Run echo "Filtered matrix:"
2025-09-07T06:19:32.6614190Z echo "Filtered matrix:"
2025-09-07T06:19:32.6615300Z echo "{"include": [{"config": "default", "shard": 1, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 2, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "default", "shard": 3, "num_shards": 3, "runner": "macos-m1-stable"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m1-14"}, {"config": "mps", "shard": 1, "num_shards": 1, "runner": "macos-m2-15"}]}"
2025-09-07T06:19:32.6616440Z 
2025-09-07T06:19:32.6616620Z echo
2025-09-07T06:19:32.6616850Z echo "Is the current job unstable? False"
2025-09-07T06:19:32.6617140Z 
2025-09-07T06:19:32.6617290Z echo
2025-09-07T06:19:32.6617520Z echo "Is keep-going label set? True"
2025-09-07T06:19:32.6617790Z 
2025-09-07T06:19:32.6617950Z echo
2025-09-07T06:19:32.6618160Z echo "Reenabled issues? "
2025-09-07T06:19:32.6633310Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T06:19:32.6633600Z env:
2025-09-07T06:19:32.6633790Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:32.6634020Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:32.6634380Z   TEST_CONFIG: default
2025-09-07T06:19:32.6634570Z   SHARD_NUMBER: 1
2025-09-07T06:19:32.6634760Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:32.6634970Z   PR_BODY: 
2025-09-07T06:19:32.6635150Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:32.6635480Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:32.6636010Z ##[endgroup]
2025-09-07T06:19:32.6871710Z Filtered matrix:
2025-09-07T06:19:32.6872650Z {include: [{config: default, shard: 1, num_shards: 3, runner: macos-m1-stable}, {config: default, shard: 2, num_shards: 3, runner: macos-m1-stable}, {config: default, shard: 3, num_shards: 3, runner: macos-m1-stable}, {config: mps, shard: 1, num_shards: 1, runner: macos-m1-14}, {config: mps, shard: 1, num_shards: 1, runner: macos-m2-15}]}
2025-09-07T06:19:32.6873610Z 
2025-09-07T06:19:32.6873770Z Is the current job unstable? False
2025-09-07T06:19:32.6873930Z 
2025-09-07T06:19:32.6874020Z Is keep-going label set? True
2025-09-07T06:19:32.6874190Z 
2025-09-07T06:19:32.6874240Z Reenabled issues? 
2025-09-07T06:19:32.6907060Z ##[group]Run echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-09-07T06:19:32.6907400Z echo "timeout=$((JOB_TIMEOUT-30))" >> "${GITHUB_OUTPUT}"
2025-09-07T06:19:32.6919160Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T06:19:32.6919380Z env:
2025-09-07T06:19:32.6919530Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:32.6919700Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:32.6919890Z   TEST_CONFIG: default
2025-09-07T06:19:32.6920050Z   SHARD_NUMBER: 1
2025-09-07T06:19:32.6920200Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:32.6920360Z   PR_BODY: 
2025-09-07T06:19:32.6920490Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:32.6920750Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:32.6920990Z   JOB_TIMEOUT: 270
2025-09-07T06:19:32.6921140Z ##[endgroup]
2025-09-07T06:19:32.7165790Z ##[group]Run # shellcheck disable=SC1090
2025-09-07T06:19:32.7166110Z # shellcheck disable=SC1090
2025-09-07T06:19:32.7166310Z set -ex
2025-09-07T06:19:32.7166460Z 
2025-09-07T06:19:32.7166640Z # TODO: Remove me later, and properly activate venv
2025-09-07T06:19:32.7166900Z PATH="$VENV_PATH/bin:$PATH"
2025-09-07T06:19:32.7167090Z export PATH
2025-09-07T06:19:32.7167230Z 
2025-09-07T06:19:32.7167430Z # Print out some information about the test environment
2025-09-07T06:19:32.7167700Z for tool in python3 python; do
2025-09-07T06:19:32.7167920Z   which $tool
2025-09-07T06:19:32.7168080Z   $tool --version
2025-09-07T06:19:32.7168280Z done
2025-09-07T06:19:32.7168410Z 
2025-09-07T06:19:32.7168630Z python3 -mpip install --no-index --no-deps dist/*.whl
2025-09-07T06:19:32.7168860Z 
2025-09-07T06:19:32.7169020Z set +e
2025-09-07T06:19:32.7169170Z pushd "${RUNNER_TEMP}"
2025-09-07T06:19:32.7169460Z # Install pip dependencies if they are not found. This is to mitigate a peculiar
2025-09-07T06:19:32.7169870Z # flaky missing dependencies on MacOS
2025-09-07T06:19:32.7170080Z python3 -c "import torch"
2025-09-07T06:19:32.7170270Z RC=$?
2025-09-07T06:19:32.7170400Z popd
2025-09-07T06:19:32.7170540Z 
2025-09-07T06:19:32.7170670Z if [ "${RC}" -ne 0 ]; then
2025-09-07T06:19:32.7170970Z   python3 -mpip install --ignore-installed -r "${PIP_REQUIREMENTS_FILE}"
2025-09-07T06:19:32.7171250Z fi
2025-09-07T06:19:32.7171390Z set -e
2025-09-07T06:19:32.7171520Z 
2025-09-07T06:19:32.7171650Z .ci/pytorch/macos-test.sh
2025-09-07T06:19:32.7183020Z shell: /bin/bash -e -l {0}
2025-09-07T06:19:32.7183180Z env:
2025-09-07T06:19:32.7183310Z   GIT_DEFAULT_BRANCH: main
2025-09-07T06:19:32.7183500Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T06:19:32.7183690Z   TEST_CONFIG: default
2025-09-07T06:19:32.7183920Z   SHARD_NUMBER: 1
2025-09-07T06:19:32.7184070Z   NUM_TEST_SHARDS: 3
2025-09-07T06:19:32.7184230Z   PR_BODY: 
2025-09-07T06:19:32.7184370Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T06:19:32.7184630Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T06:19:32.7184890Z   PYTORCH_TEST_CUDA_MEM_LEAK_CHECK: 0
2025-09-07T06:19:32.7185090Z   PYTORCH_TEST_RERUN_DISABLED_TESTS: 0
2025-09-07T06:19:32.7185290Z   CONTINUE_THROUGH_ERROR: True
2025-09-07T06:19:32.7185470Z   VERBOSE_TEST_LOGS: False
2025-09-07T06:19:32.7185640Z   TEST_SHOWLOCALS: False
2025-09-07T06:19:32.7185800Z   NO_TEST_TIMEOUT: False
2025-09-07T06:19:32.7185960Z   NO_TD: False
2025-09-07T06:19:32.7186190Z   PIP_REQUIREMENTS_FILE: .github/requirements/pip-requirements-macOS.txt
2025-09-07T06:19:32.7186480Z   GITHUB_REPOSITORY: pytorch/pytorch
2025-09-07T06:19:32.7186670Z   GITHUB_WORKFLOW: trunk
2025-09-07T06:19:32.7186840Z   GITHUB_JOB: test
2025-09-07T06:19:32.7186990Z   GITHUB_RUN_ID: 17524754564
2025-09-07T06:19:32.7187160Z   GITHUB_RUN_NUMBER: 143911
2025-09-07T06:19:32.7187340Z   GITHUB_RUN_ATTEMPT: 1
2025-09-07T06:19:32.7187490Z   JOB_ID: 49773898067
2025-09-07T06:19:32.7187720Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-09-07T06:19:32.7187960Z   REENABLED_ISSUES: 
2025-09-07T06:19:32.7188310Z   HUGGING_FACE_HUB_TOKEN: ***
2025-09-07T06:19:32.7188480Z ##[endgroup]
2025-09-07T06:19:32.7421350Z + PATH=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/usr/local/bin:/System/Cryptexes/App/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/local/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/bin:/var/run/com.apple.security.cryptexd/codex.system/bootstrap/usr/appleinternal/bin:/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin:/opt/homebrew/Caskroom/miniconda/base/bin:/opt/homebrew/Caskroom/miniconda/base/condabin:/opt/homebrew/bin:/opt/homebrew/sbin
2025-09-07T06:19:32.7423110Z + export PATH
2025-09-07T06:19:32.7423280Z + for tool in python3 python
2025-09-07T06:19:32.7423470Z + which python3
2025-09-07T06:19:32.7440520Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python3
2025-09-07T06:19:32.7441200Z + python3 --version
2025-09-07T06:19:32.7493430Z Python 3.12.11
2025-09-07T06:19:32.7494950Z + for tool in python3 python
2025-09-07T06:19:32.7495330Z + which python
2025-09-07T06:19:32.7505160Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python
2025-09-07T06:19:32.7505890Z + python --version
2025-09-07T06:19:32.7555650Z Python 3.12.11
2025-09-07T06:19:32.7558220Z + python3 -mpip install --no-index --no-deps dist/torch-2.9.0a0+git93fb23d-cp312-cp312-macosx_11_0_arm64.whl
2025-09-07T06:19:32.9216460Z Processing ./dist/torch-2.9.0a0+git93fb23d-cp312-cp312-macosx_11_0_arm64.whl
2025-09-07T06:19:32.9958990Z Installing collected packages: torch
2025-09-07T06:19:40.1398340Z Successfully installed torch-2.9.0a0+git93fb23d
2025-09-07T06:19:40.1660610Z + set +e
2025-09-07T06:19:40.1661050Z + pushd /Users/ec2-user/runner/_work/_temp
2025-09-07T06:19:40.1661270Z + python3 -c 'import torch'
2025-09-07T06:19:40.1661490Z ~/runner/_work/_temp ~/runner/_work/pytorch/pytorch
2025-09-07T06:19:44.4134660Z + RC=0
2025-09-07T06:19:44.4134870Z ~/runner/_work/pytorch/pytorch
2025-09-07T06:19:44.4135050Z + popd
2025-09-07T06:19:44.4135220Z + '[' 0 -ne 0 ']'
2025-09-07T06:19:44.4135380Z + set -e
2025-09-07T06:19:44.4135520Z + .ci/pytorch/macos-test.sh
2025-09-07T06:19:44.4161660Z ++ dirname .ci/pytorch/macos-test.sh
2025-09-07T06:19:44.4189900Z + source .ci/pytorch/macos-common.sh
2025-09-07T06:19:44.4199070Z +++ dirname .ci/pytorch/macos-common.sh
2025-09-07T06:19:44.4211440Z ++ source .ci/pytorch/common.sh
2025-09-07T06:19:44.4220900Z ++++ dirname .ci/pytorch/common.sh
2025-09-07T06:19:44.4232090Z +++ source .ci/pytorch/common_utils.sh
2025-09-07T06:19:44.4239740Z ++++ declare -f -t trap_add
2025-09-07T06:19:44.4243160Z +++ set -ex -o pipefail
2025-09-07T06:19:44.4243570Z +++ [[ macos-py3-arm64 == *rocm* ]]
2025-09-07T06:19:44.4244490Z +++ BUILD_TEST_LIBTORCH=0
2025-09-07T06:19:44.4245750Z ++ sysctl -a
2025-09-07T06:19:44.4246990Z ++ grep machdep.cpu
2025-09-07T06:19:44.4361970Z machdep.cpu.cores_per_package: 8
2025-09-07T06:19:44.4362200Z machdep.cpu.core_count: 8
2025-09-07T06:19:44.4362390Z machdep.cpu.logical_per_package: 8
2025-09-07T06:19:44.4362610Z machdep.cpu.thread_count: 8
2025-09-07T06:19:44.4362840Z machdep.cpu.brand_string: Apple M1
2025-09-07T06:19:44.4363270Z ++ export MACOSX_DEPLOYMENT_TARGET=11.1
2025-09-07T06:19:44.4363500Z ++ MACOSX_DEPLOYMENT_TARGET=11.1
2025-09-07T06:19:44.4363700Z ++ export CXX=clang++
2025-09-07T06:19:44.4363860Z ++ CXX=clang++
2025-09-07T06:19:44.4364010Z ++ export CC=clang
2025-09-07T06:19:44.4364170Z ++ CC=clang
2025-09-07T06:19:44.4364300Z + pushd test
2025-09-07T06:19:44.4364540Z ~/runner/_work/pytorch/pytorch/test ~/runner/_work/pytorch/pytorch
2025-09-07T06:19:44.4367700Z ++ python -c 'import torch; print(int(torch.backends.openmp.is_available()))'
2025-09-07T06:19:45.2570660Z + [[ ! 1 == \1 ]]
2025-09-07T06:19:45.2570910Z + popd
2025-09-07T06:19:45.2571090Z + python -mpip install -r requirements.txt
2025-09-07T06:19:45.2571340Z ~/runner/_work/pytorch/pytorch
2025-09-07T06:19:45.4277670Z Requirement already satisfied: setuptools<80.0,>=70.1.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 2)) (72.1.0)
2025-09-07T06:19:45.4279470Z Requirement already satisfied: cmake>=3.27 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 3)) (3.27.9)
2025-09-07T06:19:45.4281420Z Requirement already satisfied: ninja in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 4)) (1.10.2.4)
2025-09-07T06:19:45.4282700Z Requirement already satisfied: numpy in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 5)) (1.26.4)
2025-09-07T06:19:45.4284220Z Requirement already satisfied: packaging in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 6)) (23.1)
2025-09-07T06:19:45.4285650Z Requirement already satisfied: pyyaml in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 7)) (6.0.2)
2025-09-07T06:19:45.4287000Z Requirement already satisfied: requests in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 8)) (2.27.1)
2025-09-07T06:19:45.4288400Z Requirement already satisfied: six in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 9)) (1.17.0)
2025-09-07T06:19:45.4290330Z Requirement already satisfied: typing-extensions>=4.10.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 10)) (4.12.2)
2025-09-07T06:19:45.4291890Z Requirement already satisfied: expecttest>=0.3.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 8)) (0.3.0)
2025-09-07T06:19:45.4293200Z Requirement already satisfied: filelock in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 9)) (3.18.0)
2025-09-07T06:19:45.4579870Z Collecting fsspec>=0.8.5 (from -r requirements.txt (line 10))
2025-09-07T06:19:45.4595530Z   Using cached fsspec-2025.9.0-py3-none-any.whl.metadata (10 kB)
2025-09-07T06:19:45.4737490Z Requirement already satisfied: hypothesis in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 11)) (6.56.4)
2025-09-07T06:19:45.4844410Z Collecting jinja2 (from -r requirements.txt (line 12))
2025-09-07T06:19:45.4860280Z   Using cached jinja2-3.1.6-py3-none-any.whl.metadata (2.9 kB)
2025-09-07T06:19:45.5014550Z Collecting lintrunner (from -r requirements.txt (line 13))
2025-09-07T06:19:45.5034710Z   Using cached lintrunner-0.12.7-py3-none-macosx_11_0_arm64.whl.metadata (7.2 kB)
2025-09-07T06:19:45.5070280Z Requirement already satisfied: networkx>=2.5.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 14)) (2.8.7)
2025-09-07T06:19:45.5072490Z Requirement already satisfied: optree>=0.13.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 15)) (0.13.0)
2025-09-07T06:19:45.5074020Z Requirement already satisfied: psutil in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 16)) (5.9.8)
2025-09-07T06:19:45.5075830Z Requirement already satisfied: sympy>=1.13.3 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 17)) (1.13.3)
2025-09-07T06:19:45.5153560Z Collecting typing-extensions>=4.10.0 (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 10))
2025-09-07T06:19:45.5174250Z   Using cached typing_extensions-4.15.0-py3-none-any.whl.metadata (3.3 kB)
2025-09-07T06:19:45.5206990Z Requirement already satisfied: wheel in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 19)) (0.45.1)
2025-09-07T06:19:45.5310660Z Collecting build[uv] (from -r requirements.txt (line 7))
2025-09-07T06:19:45.5324770Z   Using cached build-1.3.0-py3-none-any.whl.metadata (5.6 kB)
2025-09-07T06:19:45.5430060Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from requests->-r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 8)) (1.26.20)
2025-09-07T06:19:45.5433300Z Requirement already satisfied: certifi>=2017.4.17 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from requests->-r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 8)) (2025.8.3)
2025-09-07T06:19:45.5438860Z Requirement already satisfied: charset-normalizer~=2.0.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from requests->-r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 8)) (2.0.12)
2025-09-07T06:19:45.5443040Z Requirement already satisfied: idna<4,>=2.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from requests->-r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 8)) (3.10)
2025-09-07T06:19:45.5558370Z Collecting pyproject_hooks (from build[uv]->-r requirements.txt (line 7))
2025-09-07T06:19:45.5573070Z   Using cached pyproject_hooks-1.2.0-py3-none-any.whl.metadata (1.3 kB)
2025-09-07T06:19:45.6676000Z Collecting uv>=0.1.18 (from build[uv]->-r requirements.txt (line 7))
2025-09-07T06:19:45.6692840Z   Using cached uv-0.8.15-py3-none-macosx_11_0_arm64.whl.metadata (11 kB)
2025-09-07T06:19:45.6770190Z Requirement already satisfied: attrs>=19.2.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from hypothesis->-r requirements.txt (line 11)) (25.3.0)
2025-09-07T06:19:45.6773360Z Requirement already satisfied: sortedcontainers<3.0.0,>=2.1.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from hypothesis->-r requirements.txt (line 11)) (2.4.0)
2025-09-07T06:19:45.6797580Z Requirement already satisfied: MarkupSafe>=2.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from jinja2->-r requirements.txt (line 12)) (3.0.2)
2025-09-07T06:19:45.6864870Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from sympy>=1.13.3->-r requirements.txt (line 17)) (1.3.0)
2025-09-07T06:19:45.6939740Z Using cached typing_extensions-4.15.0-py3-none-any.whl (44 kB)
2025-09-07T06:19:45.6960780Z Using cached build-1.3.0-py3-none-any.whl (23 kB)
2025-09-07T06:19:45.6988150Z Using cached fsspec-2025.9.0-py3-none-any.whl (199 kB)
2025-09-07T06:19:45.7022980Z Using cached jinja2-3.1.6-py3-none-any.whl (134 kB)
2025-09-07T06:19:45.7051380Z Using cached lintrunner-0.12.7-py3-none-macosx_11_0_arm64.whl (1.8 MB)
2025-09-07T06:19:45.7148780Z Using cached uv-0.8.15-py3-none-macosx_11_0_arm64.whl (17.9 MB)
2025-09-07T06:19:45.7558180Z Using cached pyproject_hooks-1.2.0-py3-none-any.whl (10 kB)
2025-09-07T06:19:45.8299140Z Installing collected packages: uv, typing-extensions, pyproject_hooks, lintrunner, jinja2, fsspec, build
2025-09-07T06:19:45.9295380Z   Attempting uninstall: typing-extensions
2025-09-07T06:19:45.9319140Z     Found existing installation: typing_extensions 4.12.2
2025-09-07T06:19:45.9329450Z     Uninstalling typing_extensions-4.12.2:
2025-09-07T06:19:46.0617690Z       Successfully uninstalled typing_extensions-4.12.2
2025-09-07T06:19:46.2559230Z 
2025-09-07T06:19:46.2597180Z Successfully installed build-1.3.0 fsspec-2025.9.0 jinja2-3.1.6 lintrunner-0.12.7 pyproject_hooks-1.2.0 typing-extensions-4.15.0 uv-0.8.15
2025-09-07T06:19:46.2619030Z 
2025-09-07T06:19:46.2619290Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T06:19:46.2619610Z [notice] To update, run: pip install --upgrade pip
2025-09-07T06:19:46.3086270Z + export TORCH_SERIALIZATION_DEBUG=1
2025-09-07T06:19:46.3086940Z + TORCH_SERIALIZATION_DEBUG=1
2025-09-07T06:19:46.3087200Z + python -mpip install --no-input -r requirements.txt
2025-09-07T06:19:46.4786030Z Requirement already satisfied: setuptools<80.0,>=70.1.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 2)) (72.1.0)
2025-09-07T06:19:46.4787600Z Requirement already satisfied: cmake>=3.27 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 3)) (3.27.9)
2025-09-07T06:19:46.4789260Z Requirement already satisfied: ninja in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 4)) (1.10.2.4)
2025-09-07T06:19:46.4790830Z Requirement already satisfied: numpy in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 5)) (1.26.4)
2025-09-07T06:19:46.4792270Z Requirement already satisfied: packaging in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 6)) (23.1)
2025-09-07T06:19:46.4793800Z Requirement already satisfied: pyyaml in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 7)) (6.0.2)
2025-09-07T06:19:46.4795100Z Requirement already satisfied: requests in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 8)) (2.27.1)
2025-09-07T06:19:46.4796560Z Requirement already satisfied: six in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 9)) (1.17.0)
2025-09-07T06:19:46.4798410Z Requirement already satisfied: typing-extensions>=4.10.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 10)) (4.15.0)
2025-09-07T06:19:46.4799980Z Requirement already satisfied: expecttest>=0.3.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 8)) (0.3.0)
2025-09-07T06:19:46.4801300Z Requirement already satisfied: filelock in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 9)) (3.18.0)
2025-09-07T06:19:46.4803090Z Requirement already satisfied: fsspec>=0.8.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 10)) (2025.9.0)
2025-09-07T06:19:46.4804450Z Requirement already satisfied: hypothesis in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 11)) (6.56.4)
2025-09-07T06:19:46.4805760Z Requirement already satisfied: jinja2 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 12)) (3.1.6)
2025-09-07T06:19:46.4807100Z Requirement already satisfied: lintrunner in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 13)) (0.12.7)
2025-09-07T06:19:46.4808820Z Requirement already satisfied: networkx>=2.5.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 14)) (2.8.7)
2025-09-07T06:19:46.4810480Z Requirement already satisfied: optree>=0.13.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 15)) (0.13.0)
2025-09-07T06:19:46.4812060Z Requirement already satisfied: psutil in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 16)) (5.9.8)
2025-09-07T06:19:46.4813530Z Requirement already satisfied: sympy>=1.13.3 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 17)) (1.13.3)
2025-09-07T06:19:46.4815620Z Requirement already satisfied: wheel in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 19)) (0.45.1)
2025-09-07T06:19:46.4817050Z Requirement already satisfied: build[uv] in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from -r requirements.txt (line 7)) (1.3.0)
2025-09-07T06:19:46.4888450Z Requirement already satisfied: urllib3<1.27,>=1.21.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from requests->-r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 8)) (1.26.20)
2025-09-07T06:19:46.4891440Z Requirement already satisfied: certifi>=2017.4.17 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from requests->-r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 8)) (2025.8.3)
2025-09-07T06:19:46.4897100Z Requirement already satisfied: charset-normalizer~=2.0.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from requests->-r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 8)) (2.0.12)
2025-09-07T06:19:46.4901340Z Requirement already satisfied: idna<4,>=2.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from requests->-r /Users/ec2-user/runner/_work/pytorch/pytorch/requirements-build.txt (line 8)) (3.10)
2025-09-07T06:19:46.4940270Z Requirement already satisfied: pyproject_hooks in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from build[uv]->-r requirements.txt (line 7)) (1.2.0)
2025-09-07T06:19:46.4945350Z Requirement already satisfied: uv>=0.1.18 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from build[uv]->-r requirements.txt (line 7)) (0.8.15)
2025-09-07T06:19:46.5007810Z Requirement already satisfied: attrs>=19.2.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from hypothesis->-r requirements.txt (line 11)) (25.3.0)
2025-09-07T06:19:46.5010890Z Requirement already satisfied: sortedcontainers<3.0.0,>=2.1.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from hypothesis->-r requirements.txt (line 11)) (2.4.0)
2025-09-07T06:19:46.5035730Z Requirement already satisfied: MarkupSafe>=2.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from jinja2->-r requirements.txt (line 12)) (3.0.2)
2025-09-07T06:19:46.5088700Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from sympy>=1.13.3->-r requirements.txt (line 17)) (1.3.0)
2025-09-07T06:19:46.5822730Z 
2025-09-07T06:19:46.5823120Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T06:19:46.5823420Z [notice] To update, run: pip install --upgrade pip
2025-09-07T06:19:46.6103050Z + [[ default == *\p\e\r\f\_\a\l\l* ]]
2025-09-07T06:19:46.6103320Z + [[ default == *\p\e\r\f\_\t\o\r\c\h\b\e\n\c\h* ]]
2025-09-07T06:19:46.6103530Z + [[ default == *\p\e\r\f\_\h\f* ]]
2025-09-07T06:19:46.6103740Z + [[ default == *\p\e\r\f\_\t\i\m\m* ]]
2025-09-07T06:19:46.6103990Z + [[ default == *\p\e\r\f\_\s\m\o\k\e\t\e\s\t* ]]
2025-09-07T06:19:46.6104280Z + [[ default == *\a\o\t\_\i\n\d\u\c\t\o\r\_\p\e\r\f\_\s\m\o\k\e\t\e\s\t* ]]
2025-09-07T06:19:46.6104580Z + [[ default == *\m\p\s* ]]
2025-09-07T06:19:46.6104760Z + [[ 3 -gt 1 ]]
2025-09-07T06:19:46.6104930Z + test_python_shard 1
2025-09-07T06:19:46.6105100Z + [[ -z 3 ]]
2025-09-07T06:19:46.6105660Z + setup_test_python
2025-09-07T06:19:46.6105840Z + export GLOO_SOCKET_IFNAME=lo0
2025-09-07T06:19:46.6106050Z + GLOO_SOCKET_IFNAME=lo0
2025-09-07T06:19:46.6107250Z ++ ninja --version
2025-09-07T06:19:46.7692990Z + echo 'Ninja version: 1.10.2.git.kitware.jobserver-1'
2025-09-07T06:19:46.7693300Z Ninja version: 1.10.2.git.kitware.jobserver-1
2025-09-07T06:19:46.7696510Z ++ which python
2025-09-07T06:19:46.7710020Z ++ python --version
2025-09-07T06:19:46.7787530Z + echo 'Python version: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python (Python 3.12.11)'
2025-09-07T06:19:46.7788270Z Python version: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python (Python 3.12.11)
2025-09-07T06:19:46.7788760Z + ulimit -n 16384
2025-09-07T06:19:46.7791250Z + python test/run_test.py --verbose --exclude-jit-executor --exclude-distributed-tests --shard 1 3
2025-09-07T06:19:51.6663550Z Found test times from artifacts
2025-09-07T06:19:51.7032900Z Found test times from artifacts
2025-09-07T06:19:51.7043980Z Running all tests
2025-09-07T06:19:51.7235020Z Running parallel tests on 3 processes
2025-09-07T06:19:51.7241360Z Name: tests to run (est. time: 53.16min)
2025-09-07T06:19:51.7242550Z   Serial tests (47):
2025-09-07T06:19:51.7242730Z     test_ci_sanity_check_fail 1/1
2025-09-07T06:19:51.7242960Z     test_reductions 1/1
2025-09-07T06:19:51.7243140Z     test_extension_utils 1/1
2025-09-07T06:19:51.7243330Z     inductor/test_flex_attention 1/1
2025-09-07T06:19:51.7243570Z     inductor/test_cutlass_backend 1/1
2025-09-07T06:19:51.7243780Z     test_cpp_api_parity 1/1
2025-09-07T06:19:51.7243970Z     test_fx 1/1
2025-09-07T06:19:51.7244150Z     test_transformers_privateuse1 1/1
2025-09-07T06:19:51.7244350Z     test_openreg 1/1
2025-09-07T06:19:51.7244540Z     inductor/test_benchmark_fusion 1/1
2025-09-07T06:19:51.7244740Z     test_show_pickle 1/1
2025-09-07T06:19:51.7244900Z     test_utils 1/1
2025-09-07T06:19:51.7245070Z     test_tensorexpr 1/1
2025-09-07T06:19:51.7245260Z     inductor/test_max_autotune 1/1
2025-09-07T06:19:51.7245470Z     test_multiprocessing 1/1
2025-09-07T06:19:51.7245770Z     test_dispatch 1/1
2025-09-07T06:19:51.7245940Z     test_namedtuple_return_api 1/1
2025-09-07T06:19:51.7246130Z     test_cpp_extensions_mtia_backend 1/1
2025-09-07T06:19:51.7246350Z     test_jit_disabled 1/1
2025-09-07T06:19:51.7246510Z     test_fake_tensor 1/1
2025-09-07T06:19:51.7246660Z     test_cuda_trace 1/1
2025-09-07T06:19:51.7246840Z     test_cpp_extensions_stream_and_event 1/1
2025-09-07T06:19:51.7247060Z     test_python_dispatch 1/1
2025-09-07T06:19:51.7247250Z     test_tensor_creation_ops 1/1
2025-09-07T06:19:51.7247450Z     test_cuda_nvml_based_avail 1/1
2025-09-07T06:19:51.7247650Z     test_autograd_fallback 1/1
2025-09-07T06:19:51.7247830Z     dynamo/test_fake_distributed 1/1
2025-09-07T06:19:51.7248030Z     inductor/test_distributed_patterns 1/1
2025-09-07T06:19:51.7248210Z     test_autocast 1/1
2025-09-07T06:19:51.7248360Z     test_torch 1/1
2025-09-07T06:19:51.7248490Z     test_sort_and_select 1/1
2025-09-07T06:19:51.7248660Z     test_cpp_extensions_jit 1/1
2025-09-07T06:19:51.7248830Z     test_native_mha 1/1
2025-09-07T06:19:51.7248980Z     test_cuda_primary_ctx 1/1
2025-09-07T06:19:51.7249130Z     test_nn 1/1
2025-09-07T06:19:51.7249260Z     nn/test_pooling 1/1
2025-09-07T06:19:51.7249420Z     test_multiprocessing_spawn 1/1
2025-09-07T06:19:51.7249600Z     nn/test_convolution 1/1
2025-09-07T06:19:51.7249750Z     test_overrides 1/1
2025-09-07T06:19:51.7249900Z     test_mobile_optimizer 1/1
2025-09-07T06:19:51.7250060Z     test_spectral_ops 1/1
2025-09-07T06:19:51.7250230Z     distributions/test_distributions 1/1
2025-09-07T06:19:51.7250410Z     doctests 1/1
2025-09-07T06:19:51.7250540Z     test_autoload_disable 1/1
2025-09-07T06:19:51.7250700Z     test_autoload_enable 1/1
2025-09-07T06:19:51.7250870Z     test_cpp_extensions_aot_ninja 1/1
2025-09-07T06:19:51.7251060Z     test_cpp_extensions_aot_no_ninja 1/1
2025-09-07T06:19:51.7251240Z   Parallel tests (138):
2025-09-07T06:19:51.7251590Z     inductor/test_kernel_benchmark 1/1
2025-09-07T06:19:51.7251790Z     inductor/test_cudagraph_trees 1/1
2025-09-07T06:19:51.7251980Z     inductor/test_compile_subprocess 1/2
2025-09-07T06:19:51.7252170Z     inductor/test_minifier 1/1
2025-09-07T06:19:51.7252340Z     test_cuda_expandable_segments 1/1
2025-09-07T06:19:51.7252560Z     inductor/test_torchinductor_dynamic_shapes 2/4
2025-09-07T06:19:51.7252800Z     inductor/test_torchinductor_dynamic_shapes 4/4
2025-09-07T06:19:51.7253010Z     export/test_torchbind 1/1
2025-09-07T06:19:51.7253170Z     test_nestedtensor 1/2
2025-09-07T06:19:51.7253330Z     inductor/test_padding 1/1
2025-09-07T06:19:51.7253490Z     dynamo/test_subclasses 1/1
2025-09-07T06:19:51.7253660Z     export/test_draft_export 1/1
2025-09-07T06:19:51.7253830Z     test_sparse 1/1
2025-09-07T06:19:51.7253960Z     test_package 1/1
2025-09-07T06:19:51.7254110Z     export/test_retraceability 1/1
2025-09-07T06:19:51.7254290Z     export/test_export_strict 1/1
2025-09-07T06:19:51.7254490Z     inductor/test_triton_extension_backend 1/1
2025-09-07T06:19:51.7254680Z     test_autoload 1/1
2025-09-07T06:19:51.7254890Z     dynamo/test_deque_reconstruct 1/1
2025-09-07T06:19:51.7255070Z     test_utils_config_module 1/1
2025-09-07T06:19:51.7255240Z     test_mkl_verbose 1/1
2025-09-07T06:19:51.7255410Z     export/test_unflatten_training_ir 1/1
2025-09-07T06:19:51.7255610Z     inductor/test_cpp_wrapper_hipify 1/1
2025-09-07T06:19:51.7255800Z     inductor/test_external_callables 1/1
2025-09-07T06:19:51.7256000Z     inductor/test_remote_cache 1/1
2025-09-07T06:19:51.7256210Z     export/test_export_training_ir_to_run_decomp 1/1
2025-09-07T06:19:51.7256460Z     inductor/test_ck_backend 1/1
2025-09-07T06:19:51.7256650Z     inductor/test_best_config 1/1
2025-09-07T06:19:51.7256850Z     inductor/test_triton_wrapper 1/1
2025-09-07T06:19:51.7257070Z     inductor/test_move_constructors_to_cuda 1/1
2025-09-07T06:19:51.7257300Z     inductor/test_autoheuristic 1/1
2025-09-07T06:19:51.7263580Z     inductor/test_subgraph_choice 1/1
2025-09-07T06:19:51.7263790Z     inductor/test_cpu_cpp_wrapper 1/1
2025-09-07T06:19:51.7264040Z     export/test_passes 1/1
2025-09-07T06:19:51.7264220Z     inductor/test_kernel_optimization 1/1
2025-09-07T06:19:51.7264400Z     test_namedtensor 1/1
2025-09-07T06:19:51.7264560Z     dynamo/test_autograd_function 1/1
2025-09-07T06:19:51.7264750Z     inductor/test_alignment 1/1
2025-09-07T06:19:51.7264910Z     dynamo/test_config 1/1
2025-09-07T06:19:51.7265070Z     dynamo/test_compile 1/1
2025-09-07T06:19:51.7265220Z     test_openmp 1/1
2025-09-07T06:19:51.7265360Z     functorch/test_ops 1/2
2025-09-07T06:19:51.7265610Z     cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1
2025-09-07T06:19:51.7265900Z     inductor/test_cooperative_reductions 1/1
2025-09-07T06:19:51.7266100Z     inductor/test_cudacodecache 1/1
2025-09-07T06:19:51.7266280Z     inductor/test_halide 1/1
2025-09-07T06:19:51.7266450Z     inductor/test_multi_kernel 1/1
2025-09-07T06:19:51.7266640Z     inductor/test_loop_ordering 1/1
2025-09-07T06:19:51.7266820Z     inductor/test_perf 1/1
2025-09-07T06:19:51.7266970Z     test_jit 1/1
2025-09-07T06:19:51.7267110Z     nn/test_multihead_attention 1/1
2025-09-07T06:19:51.7267300Z     inductor/test_snode_runtime 1/1
2025-09-07T06:19:51.7267490Z     distributions/test_constraints 1/1
2025-09-07T06:19:51.7267680Z     functorch/test_ac_knapsack 1/1
2025-09-07T06:19:51.7267870Z     profiler/test_record_function 1/1
2025-09-07T06:19:51.7268070Z     export/test_serialize 1/1
2025-09-07T06:19:51.7268240Z     test_ops_gradients 1/1
2025-09-07T06:19:51.7268400Z     functorch/test_vmap 1/1
2025-09-07T06:19:51.7268570Z     dynamo/test_flat_apply 1/1
2025-09-07T06:19:51.7268740Z     export/test_unflatten 1/1
2025-09-07T06:19:51.7268910Z     lazy/test_step_closures 1/1
2025-09-07T06:19:51.7269080Z     test_monitor 1/1
2025-09-07T06:19:51.7269240Z     functorch/test_logging 1/1
2025-09-07T06:19:51.7269400Z     test_stateless 1/1
2025-09-07T06:19:51.7269700Z     torch_np/numpy_tests/core/test_numeric 1/1
2025-09-07T06:19:51.7269900Z     test_weak 1/1
2025-09-07T06:19:51.7270090Z     inductor/test_mkldnn_pattern_matcher 1/1
2025-09-07T06:19:51.7270290Z     dynamo/test_optimizers 1/1
2025-09-07T06:19:51.7270460Z     test_content_store 1/1
2025-09-07T06:19:51.7270640Z     inductor/test_custom_lowering 1/1
2025-09-07T06:19:51.7270820Z     dynamo/test_profiler 1/1
2025-09-07T06:19:51.7270990Z     optim/test_lrscheduler 1/1
2025-09-07T06:19:51.7271160Z     inductor/test_config 1/1
2025-09-07T06:19:51.7271330Z     dynamo/test_sources 1/1
2025-09-07T06:19:51.7271500Z     dynamo/test_base_hop 1/1
2025-09-07T06:19:51.7271670Z     export/test_nativert 1/1
2025-09-07T06:19:51.7271840Z     dynamo/test_backends 1/1
2025-09-07T06:19:51.7272020Z     dynamo/test_verify_correctness 1/1
2025-09-07T06:19:51.7272220Z     dynamo/test_python_dispatcher 1/1
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2025-09-07T06:19:51.7275290Z     profiler/test_cpp_thread 1/1
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2025-09-07T06:19:51.7283360Z Name: excluded (est. time: 0.0min)
2025-09-07T06:19:51.7283540Z   Serial tests (0):
2025-09-07T06:19:51.7283690Z   Parallel tests (0):
2025-09-07T06:19:51.7283930Z Running test_ci_sanity_check_fail 1/1 ... [2025-09-07 06:19:51.726720]
2025-09-07T06:19:51.7284210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:19:51.7284960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_ci_sanity_check_fail.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:19:51.726945]
2025-09-07T06:19:51.7286080Z Downloading https://ossci-metrics.s3.amazonaws.com/disabled-tests-condensed.json to /Users/ec2-user/runner/_work/pytorch/pytorch/test/.pytorch-disabled-tests.json
2025-09-07T06:19:51.7286630Z Ignoring disabled issues:  ['']
2025-09-07T06:19:58.7103800Z Running test_reductions 1/1 ... [2025-09-07 06:19:58.710250]
2025-09-07T06:19:58.7104100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:19:58.7105970Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_reductions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:19:58.710521]
2025-09-07T06:19:58.7106810Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-09-07T06:19:58.7107110Z Uploading artifacts took 0.00 seconds
2025-09-07T06:21:27.0436440Z 
2025-09-07T06:21:27.0437040Z test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_reductions_1.1_29422cac300012d6_.log
2025-09-07T06:21:27.1440440Z Running 4673 items in this shard: test/test_reductions.py::TestReductionsCPU::test_accreal_type_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_all_any_vs_numpy_cpu_int64, 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test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_std_unbiased_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_bool, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_result_dtype_sum_cpu_int32, 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test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_bfloat16, test/test_reductions.py::TestReductionsCPU::test_sum_noncontig_lowp_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_out_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_parallel_cpu, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int16, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int32, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int64, test/test_reductions.py::TestReductionsCPU::test_sum_vs_numpy_cpu_int8, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_argmax_argmix_kthvalue_dim_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_compare_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_tensor_reduce_ops_empty_cpu, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_correction_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_cpu, test/test_reductions.py::TestReductionsCPU::test_var_dim_cpu, test/test_reductions.py::TestReductionsCPU::test_var_large_input_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_all_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_mean_correction_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_var_mean_cpu, test/test_reductions.py::TestReductionsCPU::test_var_mean_some_dims_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability2_cpu, test/test_reductions.py::TestReductionsCPU::test_var_stability_cpu, test/test_reductions.py::TestReductionsCPU::test_var_unbiased_cpu, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_var_vs_numpy_cpu_float64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex128, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_complex64, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float32, test/test_reductions.py::TestReductionsCPU::test_warn_invalid_degrees_of_freedom_cpu_float64
2025-09-07T06:21:27.2767390Z 
2025-09-07T06:21:27.2767790Z Running test_extension_utils 1/1 ... [2025-09-07 06:21:27.047619]
2025-09-07T06:21:27.2768510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:21:27.2790700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_extension_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:21:27.047965]
2025-09-07T06:21:28.8084650Z 
2025-09-07T06:21:28.8085220Z test_extension_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_extension_utils_1.1_9ed2c4579cd5d062_.log
2025-09-07T06:21:28.8086320Z Running 2 items in this shard: test/test_extension_utils.py::TestExtensionUtils::test_external_module_register, test/test_extension_utils.py::TestExtensionUtils::test_external_module_register_with_renamed_backend
2025-09-07T06:21:28.8086950Z 
2025-09-07T06:21:28.8088810Z Running inductor/test_flex_attention 1/1 ... [2025-09-07 06:21:28.808818]
2025-09-07T06:21:28.8089330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:21:28.8092050Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_flex_attention.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:21:28.809105]
2025-09-07T06:21:32.4898820Z 
2025-09-07T06:21:32.4899460Z inductor/test_flex_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_flex_attention_1.1_66144f6aa62abbaf_.log
2025-09-07T06:21:32.5051650Z Running 504 items in this shard: test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_causal_mask_cpu, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod0_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod1_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod2_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod3_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod4_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod5_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod6_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_GQA_score_mod7_cpu_float32, test/inductor/test_flex_attention.py::TestFlexAttentionCPU::test_aot_eager_gradcheck_score_mod0_cpu, 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test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:256_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:277_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float16_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_relative_1d_bias_only_grad_batch:2_head:4_seq_len:37_headdim:16_dtype:float32_cpu, test/inductor/test_flex_attention.py::TestLearnableBiasesCPU::test_symmetric_bias_batch:2_head:4_seq_len:256_headdim:16_dtype:float16_mode_default_cpu, 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2025-09-07T06:21:32.5198920Z 
2025-09-07T06:21:32.5199070Z Running inductor/test_cutlass_backend 1/1 ... [2025-09-07 06:21:32.490547]
2025-09-07T06:21:32.5199370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:21:32.5200240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_cutlass_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:21:32.490807]
2025-09-07T06:21:34.9482100Z 
2025-09-07T06:21:34.9482750Z inductor/test_cutlass_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cutlass_backend_1.1_0924914ba45af726_.log
2025-09-07T06:21:34.9488370Z 
2025-09-07T06:21:34.9488670Z Running test_cpp_api_parity 1/1 ... [2025-09-07 06:21:34.948478]
2025-09-07T06:21:34.9488950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:21:34.9489730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_cpp_api_parity.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:21:34.948721]
2025-09-07T06:21:54.1121410Z 
2025-09-07T06:21:54.1121950Z test_cpp_api_parity 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_api_parity_1.1_797fdbcd108c6da6_.log
2025-09-07T06:21:54.1234770Z Running 488 items in this shard: test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_none_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCELoss_no_batch_dim_sum_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_mean_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_BCEWithLogitsLoss_no_batch_dim_none, 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test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_dim3_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_functional_scalar_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_lastdim_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_dtype_cuda, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special, test/test_cpp_api_parity.py::TestCppApiParity::test_torch_nn_functional_softmax_spatial_special_cuda
2025-09-07T06:21:54.1339670Z 
2025-09-07T06:21:54.1339770Z Running test_fx 1/1 ... [2025-09-07 06:21:54.112779]
2025-09-07T06:21:54.1340000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:21:54.1340660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_fx.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:21:54.113050]
2025-09-07T06:22:11.3486010Z 
2025-09-07T06:22:11.3486470Z test_fx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fx_1.1_03613ed4db575dfa_.log
2025-09-07T06:22:11.3736010Z Running 1154 items in this shard: test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationInput_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationMetadata_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_MutationTorchTensorCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_Mutation_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_ReturnList_cpu, test/test_fx.py::TestCommonPass::test_correctness_CSEPass_TakeList_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_FactoryFunctionCall_cpu, test/test_fx.py::TestCommonPass::test_correctness_factory_CSEPass_MutationFactory_cpu, test/test_fx.py::TestCSEPass::test_banned_list, test/test_fx.py::TestCSEPass::test_empty, test/test_fx.py::TestCSEPass::test_immutable_list_multiple_entries, test/test_fx.py::TestCSEPass::test_immutable_list_type, test/test_fx.py::TestCSEPass::test_kwarg, test/test_fx.py::TestCSEPass::test_nested_immutable_list_type, test/test_fx.py::TestCSEPass::test_nochange, test/test_fx.py::TestCSEPass::test_rand_like, test/test_fx.py::TestCSEPass::test_rand_n, test/test_fx.py::TestCSEPass::test_random, test/test_fx.py::TestCSEPass::test_simple, test/test_fx.py::TestCSEPass::test_simple_2, test/test_fx.py::TestCSEPass::test_simple_multiple_same_ops, test/test_fx.py::TestCSEPass::test_two_args, test/test_fx.py::TestCSEPass::test_two_args_default, test/test_fx.py::TestDCE::test_dead_chain, test/test_fx.py::TestDCE::test_dead_getattr, test/test_fx.py::TestDCE::test_dead_placeholder, test/test_fx.py::TestDCE::test_dead_placeholder_with_user, test/test_fx.py::TestDCE::test_impure_custom, test/test_fx.py::TestDCE::test_impure_kwargs, test/test_fx.py::TestDCE::test_impure_nodes_args, test/test_fx.py::TestDCE::test_impure_random, test/test_fx.py::TestDCE::test_keep_collectives, test/test_fx.py::TestDCE::test_keep_collectives_no_overload, test/test_fx.py::TestDCE::test_keep_module_with_side_effects, test/test_fx.py::TestDCE::test_keep_setitem, test/test_fx.py::TestDCE::test_keep_torch_assert, test/test_fx.py::TestDCE::test_simple, test/test_fx.py::TestConstFold::test_check_inline_non_const, test/test_fx.py::TestConstFold::test_check_inline_non_const_mult_return, test/test_fx.py::TestConstFold::test_check_skip_folding_quant_dequant_pattern, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_one_attr_no_name_collision, test/test_fx.py::TestConstFold::test_const_fold_basic_placeholder_reordered, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr, test/test_fx.py::TestConstFold::test_const_fold_basic_two_attr_three_input, test/test_fx.py::TestConstFold::test_const_fold_has_inlined_call_module_node, test/test_fx.py::TestConstFold::test_const_fold_module_attr, test/test_fx.py::TestConstFold::test_const_fold_multi_const_folded_attrs, test/test_fx.py::TestConstFold::test_const_fold_noop, test/test_fx.py::TestConstFold::test_const_fold_submod_hierarchy, test/test_fx.py::TestConstFold::test_const_fold_tensor_meta, test/test_fx.py::TestConstFold::test_const_fold_unused_placeholder, test/test_fx.py::TestConstFold::test_dict_output, test/test_fx.py::TestConstFold::test_fold_module, test/test_fx.py::TestConstFold::test_retain_node_meta, test/test_fx.py::TestConstFold::test_three_outputs, test/test_fx.py::TestConstFold::test_two_outputs, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_dim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_ndim_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_nelement_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_numel_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_shape_const, test/test_fx.py::TestConstParamShapeInControlFlow::test_param_size_const, test/test_fx.py::AnnotationsTest::test_annotate, test/test_fx.py::AnnotationsTest::test_annotations, test/test_fx.py::AnnotationsTest::test_broadcasting1, test/test_fx.py::AnnotationsTest::test_broadcasting2, test/test_fx.py::AnnotationsTest::test_broadcasting3, test/test_fx.py::AnnotationsTest::test_consistency, test/test_fx.py::AnnotationsTest::test_precision, test/test_fx.py::TypeCheckerTest::test_flatten_fully_static, test/test_fx.py::TypeCheckerTest::test_resnet50, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_symbolic_add_with_broadcast_2, test/test_fx.py::TypeCheckerTest::test_type_check_add_false, test/test_fx.py::TypeCheckerTest::test_type_check_add_true, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_add_with_scalar, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_broadcast, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_2D_false, test/test_fx.py::TypeCheckerTest::test_type_check_batch_norm_symbolic, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_2_fully_static, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_conv2D_types, test/test_fx.py::TypeCheckerTest::test_type_check_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_flatten3, test/test_fx.py::TypeCheckerTest::test_type_check_flatten_2, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_dyn_true_param_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_false, test/test_fx.py::TypeCheckerTest::test_type_check_reshape_true, test/test_fx.py::TypeCheckerTest::test_type_check_symbolic_inferenceconv2D_maxpool2d_flatten, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_False, test/test_fx.py::TypeCheckerTest::test_type_check_transpose_true, test/test_fx.py::TypeCheckerTest::test_type_maxpool2d_fully_static, test/test_fx.py::TypeCheckerTest::test_type_typechecl_maxpool2d_3dinput, test/test_fx.py::TypeCheckerTest::test_typecheck_basicblock, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_function, test/test_fx.py::TestMatcher::test_matcher_with_name_node_map_module, test/test_fx.py::TestMatcher::test_split_to_graph_and_name_node_map, test/test_fx.py::TestMatcher::test_subgraph_matcher_ignore_literals, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_attributes, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list, test/test_fx.py::TestMatcher::test_subgraph_matcher_with_list_bad, test/test_fx.py::TestMatcher::test_variatic_arg_matching, test/test_fx.py::TestPassManager::test_pass_manager, test/test_fx.py::TestPassManager::test_pass_manager_bad_checks, test/test_fx.py::TestPassManager::test_pass_manager_checks, test/test_fx.py::TestPassManager::test_pass_manager_error, test/test_fx.py::TestPassManager::test_this_before_that_pass_constraint, test/test_fx.py::TestPassManager::test_topological_sort, test/test_fx.py::TestSourceMatcher::test_legalize_slice, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_conv_relu_maxpool_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_conv_relu_conv_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_functional_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_linear_relu_linear_torch_fn_export_strict_True, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_False, test/test_fx.py::TestSourceMatcher::test_module_partitioner_weight_tied_strict_True, test/test_fx.py::TestSubgraphRewriter::test_matching_pattern_with_list_type_arg, test/test_fx.py::TestSubgraphRewriter::test_matching_variable_arguments, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_callback, test/test_fx.py::TestSubgraphRewriter::test_replace_pattern_with_filters, test/test_fx.py::TestSubgraphRewriter::test_replaced_nodes, test/test_fx.py::TestSubgraphRewriter::test_replacement_with_attrs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_call_method, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_local_revert, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_nodes_with_kwargs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_consecutive_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_duplicated_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replace_with_multiple_outputs, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_overlapping_matches, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_trivial_replacement, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_args, test/test_fx.py::TestSubgraphRewriter::test_subgraph_rewriter_with_unused_results, test/test_fx.py::TestFX::test_all_input_nodes, test/test_fx.py::TestFX::test_annotation_with_future, test/test_fx.py::TestFX::test_annotations_empty_tuple, test/test_fx.py::TestFX::test_annotations_with_forward_references, test/test_fx.py::TestFX::test_annotations_with_no_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_internal_forward_references, test/test_fx.py::TestFX::test_annotations_with_non_torch_reference_and_no_internal_forward_references, test/test_fx.py::TestFX::test_args_kwargs, test/test_fx.py::TestFX::test_args_kwargs_no_self, test/test_fx.py::TestFX::test_assert, test/test_fx.py::TestFX::test_ast_rewriter_reassigns_submodules, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert, test/test_fx.py::TestFX::test_ast_rewriter_rewrites_assert_with_message, test/test_fx.py::TestFX::test_ast_rewriter_wrap, test/test_fx.py::TestFX::test_ast_rewriter_wrap_fn_directly, test/test_fx.py::TestFX::test_ast_rewriter_wrap_with_submodule, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator, test/test_fx.py::TestFX::test_ast_rewriter_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_autowrap_functions, test/test_fx.py::TestFX::test_concrete_arg_none_assert, test/test_fx.py::TestFX::test_construct_root_dict, test/test_fx.py::TestFX::test_control_flow_tracing, test/test_fx.py::TestFX::test_copy_it, test/test_fx.py::TestFX::test_copy_no_remap, test/test_fx.py::TestFX::test_ctx_mgr, test/test_fx.py::TestFX::test_custom_codegen, test/test_fx.py::TestFX::test_custom_codegen_with_transformer, test/test_fx.py::TestFX::test_custom_import, test/test_fx.py::TestFX::test_custom_proxy_dynamic_value, test/test_fx.py::TestFX::test_custom_proxy_input_dependent_control_flow, test/test_fx.py::TestFX::test_custom_proxy_type, test/test_fx.py::TestFX::test_custom_proxy_type_literal, test/test_fx.py::TestFX::test_custom_traceback_not_raised_when_exception_source_is_submodule, test/test_fx.py::TestFX::test_custom_traceback_raised_when_exception_source_is_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graph_with_tracer_cls, test/test_fx.py::TestFX::test_deepcopy_graphmodule, test/test_fx.py::TestFX::test_deepcopy_graphmodule_with_transform, test/test_fx.py::TestFX::test_deepcopy_no_recursion, test/test_fx.py::TestFX::test_deepcopy_recursion_depth, test/test_fx.py::TestFX::test_deepcopy_tracer, test/test_fx.py::TestFX::test_deepcopy_with_submods_params, test/test_fx.py::TestFX::test_delete_unused_submodules_leaf, test/test_fx.py::TestFX::test_delete_unused_values, test/test_fx.py::TestFX::test_dict, test/test_fx.py::TestFX::test_direct_param_use, test/test_fx.py::TestFX::test_disallow_override, test/test_fx.py::TestFX::test_ellipsis, test/test_fx.py::TestFX::test_empty_graph_codegen, test/test_fx.py::TestFX::test_enum, test/test_fx.py::TestFX::test_erase_node_error, test/test_fx.py::TestFX::test_example_shape_prop, test/test_fx.py::TestFX::test_find_uses, test/test_fx.py::TestFX::test_fn_type_annotation_empty, test/test_fx.py::TestFX::test_fn_type_annotations, test/test_fx.py::TestFX::test_fx_and_or, test/test_fx.py::TestFX::test_fx_create_arg, test/test_fx.py::TestFX::test_fx_shifts, test/test_fx.py::TestFX::test_fx_stateless, test/test_fx.py::TestFX::test_get_torch_func_signature, test/test_fx.py::TestFX::test_getitem, test/test_fx.py::TestFX::test_getitem_subproc, test/test_fx.py::TestFX::test_graph_edit_with_proxy, test/test_fx.py::TestFX::test_graph_fns, test/test_fx.py::TestFX::test_graph_module, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_dict_init, test/test_fx.py::TestFX::test_graph_module_init_buffer_param_copied_mod_init, test/test_fx.py::TestFX::test_graph_module_replicate_for_dp, test/test_fx.py::TestFX::test_graph_unique_names, test/test_fx.py::TestFX::test_graph_unique_names_manual, test/test_fx.py::TestFX::test_immutable_dict_pytree_ops, test/test_fx.py::TestFX::test_immutable_list_pytree_ops, test/test_fx.py::TestFX::test_imul_code_print, test/test_fx.py::TestFX::test_inf_nan, test/test_fx.py::TestFX::test_inf_nan_kwds, test/test_fx.py::TestFX::test_informative_co_filename, test/test_fx.py::TestFX::test_inline_graph, test/test_fx.py::TestFX::test_insert_arg, test/test_fx.py::TestFX::test_insertion_point, test/test_fx.py::TestFX::test_interpreter, test/test_fx.py::TestFX::test_interpreter_default_args, test/test_fx.py::TestFX::test_interpreter_gc_values, test/test_fx.py::TestFX::test_interpreter_noop_resnet18, test/test_fx.py::TestFX::test_interpreter_not_enough_args, test/test_fx.py::TestFX::test_interpreter_onthefly_swap, test/test_fx.py::TestFX::test_interpreter_other_graph, test/test_fx.py::TestFX::test_interpreter_partial_eval, test/test_fx.py::TestFX::test_interpreter_run_node_override, test/test_fx.py::TestFX::test_interpreter_star_args, test/test_fx.py::TestFX::test_interpreter_with_codegen, test/test_fx.py::TestFX::test_layout, test/test_fx.py::TestFX::test_leaf_module, test/test_fx.py::TestFX::test_lineno_map, test/test_fx.py::TestFX::test_matmul_tracing, test/test_fx.py::TestFX::test_metadata_on_ph, test/test_fx.py::TestFX::test_module_deepcopy_edit_nodes, test/test_fx.py::TestFX::test_move_before, test/test_fx.py::TestFX::test_multi_insert_point, test/test_fx.py::TestFX::test_multiple_default_args, test/test_fx.py::TestFX::test_named_tuple_inlined, test/test_fx.py::TestFX::test_namedtuple_return_qualname, test/test_fx.py::TestFX::test_namedtuple_return_trace, test/test_fx.py::TestFX::test_native_callable, test/test_fx.py::TestFX::test_nn_module_stack, test/test_fx.py::TestFX::test_no_mutation, test/test_fx.py::TestFX::test_node_tagging, test/test_fx.py::TestFX::test_nonetype_annotation, test/test_fx.py::TestFX::test_partial_trace, test/test_fx.py::TestFX::test_pickle_custom_import, test/test_fx.py::TestFX::test_pickle_graphmodule, test/test_fx.py::TestFX::test_pickle_nonetype_annotation, test/test_fx.py::TestFX::test_pickle_torch_custom_ops, test/test_fx.py::TestFX::test_prepend_self, test/test_fx.py::TestFX::test_pretty_print, test/test_fx.py::TestFX::test_pretty_print_graph, test/test_fx.py::TestFX::test_pretty_print_node, test/test_fx.py::TestFX::test_pretty_print_targets, test/test_fx.py::TestFX::test_print_graph, test/test_fx.py::TestFX::test_profiler_ranges_side_effect, test/test_fx.py::TestFX::test_proxy_deepcopy_with_tracer, test/test_fx.py::TestFX::test_proxy_deepcopy_without_tracer, test/test_fx.py::TestFX::test_pytree, test/test_fx.py::TestFX::test_pytree_concrete, test/test_fx.py::TestFX::test_reassign_args_kwargs_uses, test/test_fx.py::TestFX::test_regular_and_default_args, test/test_fx.py::TestFX::test_remove_uses, test/test_fx.py::TestFX::test_remove_uses_with_custom_filter, test/test_fx.py::TestFX::test_replace_input, test/test_fx.py::TestFX::test_replace_uses, test/test_fx.py::TestFX::test_reserved_getattr, test/test_fx.py::TestFX::test_return_tuple, test/test_fx.py::TestFX::test_return_type_exists, test/test_fx.py::TestFX::test_return_type_exists_pre_pep585, test/test_fx.py::TestFX::test_script_method_trace, test/test_fx.py::TestFX::test_script_tensor_constant, test/test_fx.py::TestFX::test_sequential, test/test_fx.py::TestFX::test_shape_prop_aggregate, test/test_fx.py::TestFX::test_shape_prop_layout, test/test_fx.py::TestFX::test_shape_prop_layout_3d, test/test_fx.py::TestFX::test_shape_prop_unbacked_sym, test/test_fx.py::TestFX::test_single_default_arg, test/test_fx.py::TestFX::test_snake_case, test/test_fx.py::TestFX::test_sqrt, test/test_fx.py::TestFX::test_stack_traces, test/test_fx.py::TestFX::test_stack_traces_with_transformer, test/test_fx.py::TestFX::test_string_literal_return, test/test_fx.py::TestFX::test_submodule_manipulation_API, test/test_fx.py::TestFX::test_symbolic_trace_assert, test/test_fx.py::TestFX::test_symbolic_trace_sequential, test/test_fx.py::TestFX::test_tensor_attribute, test/test_fx.py::TestFX::test_tensor_attribute_coalseced, test/test_fx.py::TestFX::test_tensor_constant, test/test_fx.py::TestFX::test_throw_out_variant, test/test_fx.py::TestFX::test_torch_custom_ops, test/test_fx.py::TestFX::test_torch_fx_getattr, test/test_fx.py::TestFX::test_torch_fx_len, test/test_fx.py::TestFX::test_torch_op_overloads, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx, test/test_fx.py::TestFX::test_torchbind_class_attribute_in_fx_tensor_arg, test/test_fx.py::TestFX::test_trace_buffer_slice, test/test_fx.py::TestFX::test_trace_dict_int_keys, test/test_fx.py::TestFX::test_trace_dict_proxy_keys, test/test_fx.py::TestFX::test_trace_fn_constant, test/test_fx.py::TestFX::test_trace_function, test/test_fx.py::TestFX::test_trace_multiple_funcs, test/test_fx.py::TestFX::test_trace_return_dataclass, test/test_fx.py::TestFX::test_trace_return_dataclass_nested, test/test_fx.py::TestFX::test_trace_return_namedtuple, test/test_fx.py::TestFX::test_tracing_graphmodules_as_leaf_submodules, test/test_fx.py::TestFX::test_transformer_multi_outputs, test/test_fx.py::TestFX::test_transformer_noop, test/test_fx.py::TestFX::test_transformer_op_swap, test/test_fx.py::TestFX::test_transformer_preserves_nn_module_stack_for_get_attr, test/test_fx.py::TestFX::test_tuple_no_subscript, test/test_fx.py::TestFX::test_typename_print, test/test_fx.py::TestFX::test_typename_print_pre_pep585, test/test_fx.py::TestFX::test_unpack, test/test_fx.py::TestFX::test_unpack_dict_better_error, test/test_fx.py::TestFX::test_unpack_list_better_error, test/test_fx.py::TestFX::test_update_args_api, test/test_fx.py::TestFX::test_update_args_kwargs_yells_at_you, test/test_fx.py::TestFX::test_update_kwargs_api, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_function, test/test_fx.py::TestFX::test_user_friendly_call_provenance_with_module, test/test_fx.py::TestFX::test_varargs_concrete, test/test_fx.py::TestFX::test_wrap, test/test_fx.py::TestFX::test_wrap_decorated_function, test/test_fx.py::TestFX::test_wrap_fn_directly, test/test_fx.py::TestFX::test_wrap_with_submodule, test/test_fx.py::TestFX::test_wrapped_method, test/test_fx.py::TestFX::test_wrapped_retrace, test/test_fx.py::TestFX::test_wrapped_via_decorator, test/test_fx.py::TestFX::test_wrapped_via_decorator_and_transformed, test/test_fx.py::TestFX::test_wrong_target_type, test/test_fx.py::TestFX::test_wrong_topo, test/test_fx.py::TestFXAPIBackwardCompatibility::test_adding_side_effect_function, test/test_fx.py::TestFXAPIBackwardCompatibility::test_class_member_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_function_back_compat, test/test_fx.py::TestFXAPIBackwardCompatibility::test_preserve_unused_attr_after_unpickle, test/test_fx.py::TestFXAPIBackwardCompatibility::test_public_api_surface, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_adaptive_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_affine_grid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_avg_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_batch_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_binary_cross_entropy_with_logits, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_celu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_tbc, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_conv_transpose3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cosine_similarity, test/test_fx.py::TestFunctionalTracing::test_nn_functional_cross_entropy, test/test_fx.py::TestFunctionalTracing::test_nn_functional_ctc_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_dropout3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_elu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding, test/test_fx.py::TestFunctionalTracing::test_nn_functional_embedding_bag, test/test_fx.py::TestFunctionalTracing::test_nn_functional_feature_alpha_dropout, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_fractional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gaussian_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_glu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_grid_sample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_group_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_gumbel_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardswish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hardtanh_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_hinge_embedding_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_huber_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_instance_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_interpolate, test/test_fx.py::TestFunctionalTracing::test_nn_functional_kl_div, test/test_fx.py::TestFunctionalTracing::test_nn_functional_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_layer_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_leaky_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_linear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_local_response_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_log_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_logsigmoid, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_lp_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_margin_ranking_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool1d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool2d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_pool3d_with_indices, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool1d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool2d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_max_unpool3d, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mish, test/test_fx.py::TestFunctionalTracing::test_nn_functional_mse_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_head_attention_forward, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multi_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_multilabel_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_native_channel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_normalize, test/test_fx.py::TestFunctionalTracing::test_nn_functional_one_hot, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pad, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pairwise_distance, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pdist, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_shuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_pixel_unshuffle, test/test_fx.py::TestFunctionalTracing::test_nn_functional_poisson_nll_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_prelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu6, test/test_fx.py::TestFunctionalTracing::test_nn_functional_relu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rms_norm, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_rrelu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_scaled_dot_product_attention, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_selu_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_silu, test/test_fx.py::TestFunctionalTracing::test_nn_functional_smooth_l1_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_soft_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmax, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softmin, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softplus, test/test_fx.py::TestFunctionalTracing::test_nn_functional_softshrink, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_threshold_, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_triplet_margin_with_distance_loss, test/test_fx.py::TestFunctionalTracing::test_nn_functional_unfold, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_bilinear, test/test_fx.py::TestFunctionalTracing::test_nn_functional_upsample_nearest, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_H_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_T_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___getitem___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___radd___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rdiv___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmatmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmod___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rmul___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rpow___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive___rsub___cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__batch_norm_with_update_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__chunk_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__native_batch_norm_legit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_lengths_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__segment_reduce_offsets_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__softmax_backward_data_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__unsafe_masked_index_put_accumulate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive__upsample_bilinear2d_aa_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_abs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_acosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcdiv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addcmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmm_decomposed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addmv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_addr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_alias_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_all_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_allclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_aminmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_angle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_any_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_arange_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argsort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_argwhere_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_partial_views_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_as_strided_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_asinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_atleast_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_baddbmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bernoulli_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bfloat16_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_block_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bool_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_shapes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_broadcast_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_bucketize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_byte_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cartesian_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cauchy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cdouble_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ceil_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cfloat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chalf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_char_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_inverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cholesky_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_max_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clamp_min_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_clone_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_column_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_combinations_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_conj_physical_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_constant_pad_nd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_contiguous_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_copysign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_corrcoef_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cos_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cosh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_count_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cov_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cummin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_cumulative_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_deg2rad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diag_embed_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagflat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diagonal_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_diff_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_digamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_floor_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_no_rounding_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_div_trunc_rounding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_double_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_dstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_einsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_permuted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_equal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_erfinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expand_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_expm1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_eye_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_fftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_hfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ifftshift_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_ihfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_irfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fft_rfftn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flip_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fliplr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_flipud_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_float_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_floor_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_fmod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_frexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_full_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gather_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ge_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geometric_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_geqrf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gradient_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_grid_sampler_3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_gt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_half_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hash_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_heaviside_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogram_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_histogramdd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_hypot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_igammac_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_index_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_inner_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_int_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isclose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isfinite_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isnan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isneginf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isposinf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_isreal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_item_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_2inputs_2outputs_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_4inputs_with_extra_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_binary_return_by_ref_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_jiterator_unary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kron_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_kthvalue_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ldexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_le_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lerp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lgamma_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cholesky_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cond_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_cross_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_det_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_diagonal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eig_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_eigvalsh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_householder_product_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_inv_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_ldl_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lstsq_grad_oriented_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_factor_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_power_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_matrix_rank_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_multi_dot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_norm_subgradients_at_zero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_hermitian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_pinv_singular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_slogdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_ex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_solve_triangular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_svdvals_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorinv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_tensorsolve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vander_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vecdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linalg_vector_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_linspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log10_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log1p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_log_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logcumsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logdet_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_and_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_not_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_or_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logical_xor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logspace_tensor_overload_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_long_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_lu_unpack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mH_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mT_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_argmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumprod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_cumsum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_fill_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_log_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logaddexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_logsumexp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_masked_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matmul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_matrix_exp_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_pool2d_with_indices_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_max_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_maximum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_median_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_list_of_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_meshgrid_variadic_tensors_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_binary_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_no_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_min_reduction_with_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_minimum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mode_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_movedim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_msort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mul_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_multinomial_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mv_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nan_to_num_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanmedian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nanquantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nansum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_narrow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_dropout_backward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_native_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ne_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_empty_strided_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_full_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_new_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nextafter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_alpha_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_avg_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_batch_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_celu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_channel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_conv_transpose3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cosine_similarity_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_cross_entropy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_ctc_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_dropout_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_elu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_bag_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_embedding_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_fractional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gaussian_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_gelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_glu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_grid_sample_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_group_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardswish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hardtanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_hinge_embedding_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_huber_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_instance_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_area_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bicubic_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_interpolate_trilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_kl_div_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_layer_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_leaky_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_linear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_local_response_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_logsigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_margin_ranking_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_pool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool1d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool2d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_max_unpool3d_grad_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mish_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_mse_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_head_attention_forward_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multi_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_normalize_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_circular_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_constant_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_reflect_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pad_replicate_negative_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pairwise_distance_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pdist_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_shuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_pixel_unshuffle_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_poisson_nll_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_prelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu6_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_relu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rms_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_rrelu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_selu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_silu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_smooth_l1_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_soft_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softmin_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softplus_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_softsign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_tanhshrink_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_threshold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_bilinear_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nn_functional_upsample_nearest_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_nonzero_static_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_fro_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_inf_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_norm_nuc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_in_place_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_normal_number_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ones_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ormqr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_outer_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pca_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_permute_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pinverse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polar_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_2_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_polygamma_polygamma_n_4_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_positive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_pow_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_put_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_qr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_quantile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rad2deg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rand_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randint_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_randn_like_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_ravel_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_real_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reciprocal_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_remainder_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_renorm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_repeat_interleave_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_reshape_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resize_as__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_conj_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_resolve_neg_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_roll_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rot90_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_round_decimals_neg_3_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_rsub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scalar_tensor_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_add_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_amin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_prod_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_scatter_reduce_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_searchsorted_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_select_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sgn_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_short_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sigmoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sign_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_bartlett_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_blackman_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_exponential_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_gaussian_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_cosine_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_general_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hamming_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_hann_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_kaiser_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signal_windows_nuttall_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_signbit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sin_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sinh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_slice_scatter_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_softmax_with_dtype_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sort_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_mm_reduce_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sparse_sampled_addmm_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_airy_ai_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_j1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_bessel_y1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_entr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_erfcx_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_h_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_hermite_polynomial_he_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i0e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_i1e_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_laguerre_polynomial_l_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_legendre_polynomial_p_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_log_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_i1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtr_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_ndtri_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_scaled_modified_bessel_k1_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_u_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_v_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_shifted_chebyshev_polynomial_w_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_spherical_bessel_j0_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_xlog1py_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_special_zeta_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_list_args_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_split_with_sizes_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sqrt_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_square_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_squeeze_multiple_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_std_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_stft_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sub_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_sum_to_size_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_svd_lowrank_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_t_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_along_dim_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_take_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tan_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tanh_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensor_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tensordot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tile_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_to_sparse_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_topk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trace_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_transpose_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapezoid_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trapz_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triangular_solve_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_tril_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_triu_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_true_divide_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_trunc_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unbind_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unflatten_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unfold_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_uniform_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_consecutive_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unique_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_chunk_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsafe_split_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_unsqueeze_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_mean_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_var_unbiased_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vdot_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_complex_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_as_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_copy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_view_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vsplit_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_vstack_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_where_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_xlogy_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zero__cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_cpu_float32, test/test_fx.py::TestOperatorSignaturesCPU::test_get_torch_func_signature_exhaustive_zeros_like_cpu_float32
2025-09-07T06:22:11.3977920Z 
2025-09-07T06:22:11.3978190Z Running test_transformers_privateuse1 1/1 ... [2025-09-07 06:22:11.349637]
2025-09-07T06:22:11.5241120Z Processing /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/torch_openreg
2025-09-07T06:22:11.5259070Z   Preparing metadata (pyproject.toml): started
2025-09-07T06:22:11.6922220Z   Preparing metadata (pyproject.toml): finished with status 'done'
2025-09-07T06:22:11.6942410Z Requirement already satisfied: torch in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch_openreg==0.0.1) (2.9.0a0+git93fb23d)
2025-09-07T06:22:11.6949280Z Requirement already satisfied: filelock in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (3.18.0)
2025-09-07T06:22:11.6951950Z Requirement already satisfied: typing-extensions>=4.10.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (4.15.0)
2025-09-07T06:22:11.6954060Z Requirement already satisfied: sympy>=1.13.3 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (1.13.3)
2025-09-07T06:22:11.6956650Z Requirement already satisfied: networkx>=2.5.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (2.8.7)
2025-09-07T06:22:11.6958170Z Requirement already satisfied: jinja2 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (3.1.6)
2025-09-07T06:22:11.6960400Z Requirement already satisfied: fsspec>=0.8.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (2025.9.0)
2025-09-07T06:22:11.6964190Z Requirement already satisfied: setuptools in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (72.1.0)
2025-09-07T06:22:11.7021630Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from sympy>=1.13.3->torch->torch_openreg==0.0.1) (1.3.0)
2025-09-07T06:22:11.7043380Z Requirement already satisfied: MarkupSafe>=2.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from jinja2->torch->torch_openreg==0.0.1) (3.0.2)
2025-09-07T06:22:11.7079170Z Building wheels for collected packages: torch_openreg
2025-09-07T06:22:11.7085380Z   Building wheel for torch_openreg (pyproject.toml): started
2025-09-07T06:22:24.5893660Z   Building wheel for torch_openreg (pyproject.toml): finished with status 'done'
2025-09-07T06:22:24.5901270Z   Created wheel for torch_openreg: filename=torch_openreg-0.0.1-cp312-cp312-macosx_14_0_arm64.whl size=239229 sha256=d331e137f5e07f466a1bb576150fdfcd17d10fb65c9d725aefedae469f7e65cd
2025-09-07T06:22:24.5902400Z   Stored in directory: /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-ephem-wheel-cache-da_ktc1s/wheels/5b/25/60/81ed9102d986b4791cc5a9e826c98ebca5929798e6e0529aed
2025-09-07T06:22:24.5920200Z Successfully built torch_openreg
2025-09-07T06:22:24.6638120Z Installing collected packages: torch_openreg
2025-09-07T06:22:24.6736500Z Successfully installed torch_openreg-0.0.1
2025-09-07T06:22:24.6760460Z 
2025-09-07T06:22:24.6760830Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T06:22:24.6761120Z [notice] To update, run: pip install --upgrade pip
2025-09-07T06:22:24.7042920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:22:24.7047510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_transformers_privateuse1.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:22:24.704637]
2025-09-07T06:22:26.7026650Z 
2025-09-07T06:22:26.7027270Z test_transformers_privateuse1 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_transformers_privateuse1_1.1_862d01ad6d245140_.log
2025-09-07T06:22:26.7029090Z Running 3 items in this shard: test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_fused_sdp_choice_privateuseone, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable, test/test_transformers_privateuse1.py::TestSDPAPrivateUse1Only::test_scaled_dot_product_fused_attention_overrideable_backward
2025-09-07T06:22:26.7030220Z 
2025-09-07T06:22:26.7030910Z Running test_openreg 1/1 ... [2025-09-07 06:22:26.703049]
2025-09-07T06:22:26.8812490Z Processing /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/open_registration_extension/torch_openreg
2025-09-07T06:22:26.8822740Z   Preparing metadata (pyproject.toml): started
2025-09-07T06:22:27.0434340Z   Preparing metadata (pyproject.toml): finished with status 'done'
2025-09-07T06:22:27.0454710Z Requirement already satisfied: torch in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch_openreg==0.0.1) (2.9.0a0+git93fb23d)
2025-09-07T06:22:27.0461580Z Requirement already satisfied: filelock in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (3.18.0)
2025-09-07T06:22:27.0464230Z Requirement already satisfied: typing-extensions>=4.10.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (4.15.0)
2025-09-07T06:22:27.0466260Z Requirement already satisfied: sympy>=1.13.3 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (1.13.3)
2025-09-07T06:22:27.0469040Z Requirement already satisfied: networkx>=2.5.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (2.8.7)
2025-09-07T06:22:27.0470290Z Requirement already satisfied: jinja2 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (3.1.6)
2025-09-07T06:22:27.0472950Z Requirement already satisfied: fsspec>=0.8.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (2025.9.0)
2025-09-07T06:22:27.0476190Z Requirement already satisfied: setuptools in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from torch->torch_openreg==0.0.1) (72.1.0)
2025-09-07T06:22:27.0533450Z Requirement already satisfied: mpmath<1.4,>=1.1.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from sympy>=1.13.3->torch->torch_openreg==0.0.1) (1.3.0)
2025-09-07T06:22:27.0555140Z Requirement already satisfied: MarkupSafe>=2.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from jinja2->torch->torch_openreg==0.0.1) (3.0.2)
2025-09-07T06:22:27.0591090Z Building wheels for collected packages: torch_openreg
2025-09-07T06:22:27.0597750Z   Building wheel for torch_openreg (pyproject.toml): started
2025-09-07T06:22:39.4618290Z   Building wheel for torch_openreg (pyproject.toml): finished with status 'done'
2025-09-07T06:22:39.4626230Z   Created wheel for torch_openreg: filename=torch_openreg-0.0.1-cp312-cp312-macosx_14_0_arm64.whl size=239229 sha256=fa3a8eabfc085ab3a3e8ff29a5aef542f2f796a634b4e80c0db97705202fc2f0
2025-09-07T06:22:39.4627200Z   Stored in directory: /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-ephem-wheel-cache-zhe163dp/wheels/5b/25/60/81ed9102d986b4791cc5a9e826c98ebca5929798e6e0529aed
2025-09-07T06:22:39.4645230Z Successfully built torch_openreg
2025-09-07T06:22:39.5352090Z Installing collected packages: torch_openreg
2025-09-07T06:22:39.5454190Z Successfully installed torch_openreg-0.0.1
2025-09-07T06:22:39.5479490Z 
2025-09-07T06:22:39.5479760Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T06:22:39.5480180Z [notice] To update, run: pip install --upgrade pip
2025-09-07T06:22:39.5781770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:22:39.5785990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_openreg.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:22:39.578491]
2025-09-07T06:22:42.4561500Z 
2025-09-07T06:22:42.4562020Z test_openreg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openreg_1.1_b4cc43f3ea6acabe_.log
2025-09-07T06:22:42.4570140Z Running 44 items in this shard: test/test_openreg.py::TestPrivateUse1::test_backend_dispatchstub, test/test_openreg.py::TestPrivateUse1::test_backend_generate_methods, test/test_openreg.py::TestPrivateUse1::test_backend_module_function, test/test_openreg.py::TestPrivateUse1::test_backend_module_methods, test/test_openreg.py::TestPrivateUse1::test_backend_module_registration, test/test_openreg.py::TestPrivateUse1::test_backend_name, test/test_openreg.py::TestPrivateUse1::test_backend_operator_registration, test/test_openreg.py::TestPrivateUse1::test_backend_packed_sequence_methods, test/test_openreg.py::TestPrivateUse1::test_backend_storage_methods, test/test_openreg.py::TestPrivateUse1::test_backend_tensor_methods, test/test_openreg.py::TestPrivateUse1::test_backend_tensor_type, test/test_openreg.py::TestPrivateUse1::test_backend_type_methods, test/test_openreg.py::TestOpenReg::test_autograd_init, test/test_openreg.py::TestOpenReg::test_compile_autograd_function_aliasing, test/test_openreg.py::TestOpenReg::test_compile_autograd_function_returns_self, test/test_openreg.py::TestOpenReg::test_copy_same_device, test/test_openreg.py::TestOpenReg::test_cross_device_copy, test/test_openreg.py::TestOpenReg::test_cross_diff_devices_copy, test/test_openreg.py::TestOpenReg::test_data_dependent_output, test/test_openreg.py::TestOpenReg::test_event_elapsed_time, test/test_openreg.py::TestOpenReg::test_event_wait_stream, test/test_openreg.py::TestOpenReg::test_expand, test/test_openreg.py::TestOpenReg::test_factory, test/test_openreg.py::TestOpenReg::test_fake_tensor, test/test_openreg.py::TestOpenReg::test_generator, test/test_openreg.py::TestOpenReg::test_manual_seed, test/test_openreg.py::TestOpenReg::test_named_tensor, test/test_openreg.py::TestOpenReg::test_open_device_cpu_serialization, test/test_openreg.py::TestOpenReg::test_open_device_dlpack, test/test_openreg.py::TestOpenReg::test_open_device_numpy_serialization, test/test_openreg.py::TestOpenReg::test_pin_memory, test/test_openreg.py::TestOpenReg::test_printing, test/test_openreg.py::TestOpenReg::test_quantize, test/test_openreg.py::TestOpenReg::test_record_event, test/test_openreg.py::TestOpenReg::test_resize, test/test_openreg.py::TestOpenReg::test_rewrapped_storage, test/test_openreg.py::TestOpenReg::test_rng_state, test/test_openreg.py::TestOpenReg::test_scalar_type_fallback, test/test_openreg.py::TestOpenReg::test_serialization, test/test_openreg.py::TestOpenReg::test_stream_synchronize, test/test_openreg.py::TestOpenReg::test_stream_wait_event, test/test_openreg.py::TestOpenReg::test_stream_wait_stream, test/test_openreg.py::TestOpenReg::test_tensor_type_fallback, test/test_openreg.py::TestOpenReg::test_tensorlist_type_fallback
2025-09-07T06:22:42.4577870Z 
2025-09-07T06:22:42.4578050Z Running inductor/test_benchmark_fusion 1/1 ... [2025-09-07 06:22:42.456527]
2025-09-07T06:22:42.4578380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:22:42.4579260Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_benchmark_fusion.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:22:42.456806]
2025-09-07T06:22:45.1429560Z 
2025-09-07T06:22:45.1431570Z inductor/test_benchmark_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_benchmark_fusion_1.1_2387e427ccd70cf7_.log
2025-09-07T06:22:45.1432300Z Running 0 items in this shard:
2025-09-07T06:22:45.1432420Z 
2025-09-07T06:22:45.1432950Z Running test_show_pickle 1/1 ... [2025-09-07 06:22:45.143235]
2025-09-07T06:22:45.1433220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:22:45.1435910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_show_pickle.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:22:45.143489]
2025-09-07T06:22:46.8963900Z 
2025-09-07T06:22:46.8964470Z test_show_pickle 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_show_pickle_1.1_df8ffba4ef83cfc4_.log
2025-09-07T06:22:46.8965340Z Running 1 items in this shard: test/test_show_pickle.py::TestShowPickle::test_scripted_model
2025-09-07T06:22:46.8965670Z 
2025-09-07T06:22:46.8967970Z Running test_utils 1/1 ... [2025-09-07 06:22:46.896740]
2025-09-07T06:22:46.8968250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:22:46.8971190Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_utils.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:22:46.897024]
2025-09-07T06:24:37.7319910Z 
2025-09-07T06:24:37.7320400Z test_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_1.1_c0372e1d977a264f_.log
2025-09-07T06:24:37.9261090Z Running 6047 items in this shard: test/test_utils.py::TestCheckpoint::test_checkpoint, test/test_utils.py::TestCheckpoint::test_checkpoint_module_list, test/test_utils.py::TestCheckpoint::test_checkpoint_no_tensors, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor, test/test_utils.py::TestCheckpoint::test_checkpoint_non_tensor_inputs_outputs, test/test_utils.py::TestCheckpoint::test_checkpoint_not_preserve_rng_state_and_without_reentrant, test/test_utils.py::TestCheckpoint::test_checkpoint_partial_grad, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cpu, test/test_utils.py::TestCheckpoint::test_checkpoint_rng_cuda, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_multiple_args, test/test_utils.py::TestCheckpoint::test_checkpoint_sequential_deprecated_no_args, test/test_utils.py::TestCheckpoint::test_checkpoint_trigger, test/test_utils.py::TestCheckpoint::test_checkpoint_valid, test/test_utils.py::TestCheckpoint::test_checkpointing_without_reentrant_early_free, test/test_utils.py::TestCheckpoint::test_get_device_states_recursive, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_meta, test/test_utils.py::TestCheckpoint::test_infer_device_state_recursive_multi_cuda, test/test_utils.py::TestDataLoaderUtils::test_multi_drop, test/test_utils.py::TestDataLoaderUtils::test_multi_keep, test/test_utils.py::TestDataLoaderUtils::test_random_seed, test/test_utils.py::TestDataLoaderUtils::test_single_drop, test/test_utils.py::TestDataLoaderUtils::test_single_keep, test/test_utils.py::TestBottleneck::test_bottleneck_cpu_only, test/test_utils.py::TestBottleneck::test_bottleneck_cuda, test/test_utils.py::TestCollectEnv::test_smoke, test/test_utils.py::TestHipify::test_import_hipify, test/test_utils.py::TestHipifyTrie::test_add_and_search_trie, test/test_utils.py::TestHipifyTrie::test_add_multiple_and_search_trie, test/test_utils.py::TestHipifyTrie::test_char_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_prefix_words_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_quote_escape, test/test_utils.py::TestHipifyTrie::test_single_export_trie_to_regex, test/test_utils.py::TestHipifyTrie::test_special_char_export_trie_to_regex, test/test_utils.py::TestAssert::test_assert_scriptable, test/test_utils.py::TestAssert::test_assert_true, test/test_utils.py::TestStandaloneCPPJIT::test_load_standalone, test/test_utils.py::TestRenderUtils::test_basic, test/test_utils.py::TestDeviceUtilsCPU::test_basic_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_decorator_generator_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_H_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_T_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___getitem___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___radd___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rand___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rdiv___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmatmul___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmod___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rmul___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___ror___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rpow___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rsub___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops___rxor___cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__batch_norm_with_update_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__chunk_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__native_batch_norm_legit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_lengths_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__segment_reduce_offsets_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__softmax_backward_data_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops__upsample_bilinear2d_aa_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_abs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_acosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addbmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcdiv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addcmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmm_decomposed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addmv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_addr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_alias_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_all_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_allclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_aminmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_angle_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_left_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_right_shift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bitwise_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_block_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bmm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bool_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_shapes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_broadcast_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_bucketize_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_byte_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cartesian_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cauchy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cdouble_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ceil_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cfloat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chalf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_char_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_inverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cholesky_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_max_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clamp_min_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_clone_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_column_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_combinations_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_conj_physical_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_constant_pad_nd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_contiguous_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_copysign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_corrcoef_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cos_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cosh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_count_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cov_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cummin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumprod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_cumulative_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_deg2rad_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diag_embed_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagflat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diagonal_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_diff_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_digamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_floor_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_no_rounding_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_div_trunc_rounding_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_double_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_dstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_einsum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_permuted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eq_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_equal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_erfinv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expand_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_expm1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_eye_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_fftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_hfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ifftshift_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_ihfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_irfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfft_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fft_rfftn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flip_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fliplr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_flipud_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_float_power_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_floor_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_fmod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_frexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_full_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gather_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gcd_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ge_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geometric_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_geqrf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gradient_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_grid_sampler_3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_gt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_half_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hash_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_heaviside_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogram_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_histogramdd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_hypot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_i0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_igammac_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_imag_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_fill_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_index_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_inner_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_int_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isclose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isfinite_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isnan_cpu_int64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isposinf_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_isreal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_istft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_item_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_2inputs_2outputs_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_4inputs_with_extra_args_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_binary_return_by_ref_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_jiterator_unary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kron_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_kthvalue_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lcm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ldexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_le_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lerp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lgamma_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cholesky_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cond_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_cross_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_det_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_diagonal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eig_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_eigvalsh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_householder_product_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_inv_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_ldl_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lstsq_grad_oriented_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_factor_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_power_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_matrix_rank_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_multi_dot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_norm_subgradients_at_zero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_hermitian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_pinv_singular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_slogdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_ex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_solve_triangular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_svdvals_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorinv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_tensorsolve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vander_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vecdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linalg_vector_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_linspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log10_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log1p_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_log_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logcumsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logdet_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_and_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_not_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_or_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logical_xor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logspace_tensor_overload_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_long_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_lu_unpack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mH_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mT_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_argmax_cpu_float16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logaddexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_logsumexp_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_mean_cpu_float64, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_prod_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_std_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_masked_var_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matmul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_matrix_exp_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_pool2d_with_indices_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_max_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_maximum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_median_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_list_of_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_meshgrid_variadic_tensors_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_binary_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_no_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_min_reduction_with_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_minimum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mm_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mode_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_movedim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_msort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mul_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_multinomial_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mv_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nan_to_num_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanmedian_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nanquantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nansum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_narrow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_dropout_backward_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_native_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ne_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_empty_strided_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_full_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_new_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nextafter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_adaptive_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_alpha_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_avg_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_batch_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_celu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_channel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose1d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_conv_transpose3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_embedding_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cosine_similarity_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_cross_entropy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_ctc_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_dropout_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_elu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_bag_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_embedding_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_with_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_feature_alpha_dropout_without_train_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_fractional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gaussian_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_gelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_glu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_grid_sample_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_group_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardswish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hardtanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_hinge_embedding_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_huber_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_instance_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_area_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bicubic_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest-exact_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_interpolate_trilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_kl_div_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_layer_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_leaky_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_linear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_local_response_norm_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_logsigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_margin_ranking_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool2d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_pool3d_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool1d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool2d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_max_unpool3d_grad_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mish_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_mse_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_head_attention_forward_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multi_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_normalize_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_one_hot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_circular_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_constant_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_reflect_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pad_replicate_negative_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pairwise_distance_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pdist_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_shuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_pixel_unshuffle_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_poisson_nll_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_prelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu6_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_relu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rms_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_rrelu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_scaled_dot_product_attention_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_selu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_complex_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_silu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_smooth_l1_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_soft_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softmin_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softplus_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_softsign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_tanhshrink_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_threshold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_triplet_margin_with_distance_loss_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_bilinear_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nn_functional_upsample_nearest_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_nonzero_static_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_fro_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_inf_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_norm_nuc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_in_place_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_normal_number_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ones_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ormqr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_outer_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pca_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_permute_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pinverse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polar_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_2_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_3_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_polygamma_polygamma_n_4_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_positive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_pow_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_put_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_qr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_quantile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rad2deg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rand_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randint_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_randn_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_ravel_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_real_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reciprocal_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_remainder_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_renorm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_repeat_interleave_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_reshape_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resize_as__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_conj_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_resolve_neg_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_roll_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rot90_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_round_decimals_neg_3_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_rsub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scalar_tensor_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_add_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amax_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_amin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_mean_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_prod_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_scatter_reduce_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_searchsorted_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_select_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sgn_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_short_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sigmoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sign_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_bartlett_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_blackman_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_exponential_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_gaussian_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_cosine_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_general_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hamming_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_hann_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_kaiser_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signal_windows_nuttall_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_signbit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sin_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sinh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_slice_scatter_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_softmax_with_dtype_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sort_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_mm_reduce_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sparse_sampled_addmm_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_airy_ai_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_j1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y0_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_bessel_y1_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_u_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_v_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_chebyshev_polynomial_w_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_entr_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_erfcx_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_h_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_special_hermite_polynomial_he_cpu_int16, 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test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_split_with_sizes_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sqrt_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_square_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_squeeze_multiple_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_std_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_stft_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sub_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_sum_to_size_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_svd_lowrank_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_t_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_along_dim_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_take_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tan_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tanh_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensor_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tensordot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tile_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_to_sparse_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_topk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fn, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e4m3fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch__scaled_mm_cpu_float8_e5m2fnuz, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trace_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_transpose_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapezoid_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trapz_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triangular_solve_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_tril_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_triu_indices_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_true_divide_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_trunc_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unbind_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unflatten_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unfold_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_uniform_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_consecutive_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unique_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unravel_index_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_chunk_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsafe_split_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_unsqueeze_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_mean_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_var_unbiased_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vdot_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_complex_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_as_real_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_copy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_view_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vsplit_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_vstack_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_where_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_xlogy_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zero__cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bfloat16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_bool, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex128, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_complex64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_float64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int16, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int32, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int64, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_int8, test/test_utils.py::TestDeviceUtilsCPU::test_device_mode_ops_zeros_like_cpu_uint8, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_get_default_device_more_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_nn_module_cpu, test/test_utils.py::TestDeviceUtilsCPU::test_set_default_device_cpu, test/test_utils.py::TestCppExtensionUtils::test_cc_compiler_is_ok, test/test_utils.py::TestCppExtensionUtils::test_cpp_compiler_is_ok, test/test_utils.py::TestTraceback::test_basic, test/test_utils.py::TestTraceback::test_captured_traceback, test/test_utils.py::TestTraceback::test_captured_traceback_format_all, test/test_utils.py::TestTraceback::test_captured_traceback_format_all_cached, test/test_utils.py::TestTraceback::test_format_traceback_short, test/test_utils.py::TestTryImport::test_import_existing, test/test_utils.py::TestTryImport::test_import_imported, test/test_utils.py::TestTryImport::test_import_missing, test/test_utils.py::TestDeprecate::test_deprecated
2025-09-07T06:24:38.0930890Z 
2025-09-07T06:24:38.0931040Z Running test_tensorexpr 1/1 ... [2025-09-07 06:24:37.736222]
2025-09-07T06:24:38.0931320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:24:38.0932070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_tensorexpr.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:24:37.736548]
2025-09-07T06:24:48.9225570Z 
2025-09-07T06:24:48.9226110Z test_tensorexpr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorexpr_1.1_a316de3587ee0ae3_.log
2025-09-07T06:24:48.9239990Z Running 74 items in this shard: test/test_tensorexpr.py::TestTensorExprFuser::test_add_const_rhs, test/test_tensorexpr.py::TestTensorExprFuser::test_add_sub, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_input_and_module, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_alias_analysis_module, test/test_tensorexpr.py::TestTensorExprFuser::test_all_combos, test/test_tensorexpr.py::TestTensorExprFuser::test_alpha, test/test_tensorexpr.py::TestTensorExprFuser::test_binary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_bitwise_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast3, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_2, test/test_tensorexpr.py::TestTensorExprFuser::test_broadcast_big2, test/test_tensorexpr.py::TestTensorExprFuser::test_cat, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_empty_tensors, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_negative_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_only, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_promote_inputs, test/test_tensorexpr.py::TestTensorExprFuser::test_cat_with_constant_dim, test/test_tensorexpr.py::TestTensorExprFuser::test_char, test/test_tensorexpr.py::TestTensorExprFuser::test_chunk, test/test_tensorexpr.py::TestTensorExprFuser::test_clamp, test/test_tensorexpr.py::TestTensorExprFuser::test_constant, test/test_tensorexpr.py::TestTensorExprFuser::test_double, test/test_tensorexpr.py::TestTensorExprFuser::test_double_intrinsics, test/test_tensorexpr.py::TestTensorExprFuser::test_dynamic_shape, test/test_tensorexpr.py::TestTensorExprFuser::test_easy, test/test_tensorexpr.py::TestTensorExprFuser::test_eq, test/test_tensorexpr.py::TestTensorExprFuser::test_exp_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_four_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_ge, test/test_tensorexpr.py::TestTensorExprFuser::test_gt, test/test_tensorexpr.py::TestTensorExprFuser::test_guard_fails, test/test_tensorexpr.py::TestTensorExprFuser::test_half_bn_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_half_gelu, test/test_tensorexpr.py::TestTensorExprFuser::test_int64_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_int_output, test/test_tensorexpr.py::TestTensorExprFuser::test_le, test/test_tensorexpr.py::TestTensorExprFuser::test_loop, test/test_tensorexpr.py::TestTensorExprFuser::test_lt, test/test_tensorexpr.py::TestTensorExprFuser::test_mask, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction2, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1, test/test_tensorexpr.py::TestTensorExprFuser::test_min_max_reduction_dim1_2, test/test_tensorexpr.py::TestTensorExprFuser::test_multi_rand, test/test_tensorexpr.py::TestTensorExprFuser::test_multioutput, test/test_tensorexpr.py::TestTensorExprFuser::test_multiple_outputs, test/test_tensorexpr.py::TestTensorExprFuser::test_nans, test/test_tensorexpr.py::TestTensorExprFuser::test_ne, test/test_tensorexpr.py::TestTensorExprFuser::test_promotion, test/test_tensorexpr.py::TestTensorExprFuser::test_propagated_mem_layout, test/test_tensorexpr.py::TestTensorExprFuser::test_rand_like, test/test_tensorexpr.py::TestTensorExprFuser::test_rank_two, test/test_tensorexpr.py::TestTensorExprFuser::test_relu, test/test_tensorexpr.py::TestTensorExprFuser::test_remainder, test/test_tensorexpr.py::TestTensorExprFuser::test_reps, test/test_tensorexpr.py::TestTensorExprFuser::test_round_2, test/test_tensorexpr.py::TestTensorExprFuser::test_scalar, test/test_tensorexpr.py::TestTensorExprFuser::test_short, test/test_tensorexpr.py::TestTensorExprFuser::test_simple_add, test/test_tensorexpr.py::TestTensorExprFuser::test_sin_pow, test/test_tensorexpr.py::TestTensorExprFuser::test_slice, test/test_tensorexpr.py::TestTensorExprFuser::test_sliced_stride, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cpu, test/test_tensorexpr.py::TestTensorExprFuser::test_softmax_cuda, test/test_tensorexpr.py::TestTensorExprFuser::test_strided_output_preserved, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg, test/test_tensorexpr.py::TestTensorExprFuser::test_three_arg2, test/test_tensorexpr.py::TestTensorExprFuser::test_transpose, test/test_tensorexpr.py::TestTensorExprFuser::test_unary_ops, test/test_tensorexpr.py::TestTensorExprFuser::test_unsqueeze, test/test_tensorexpr.py::TestTensorExprFuser::test_where
2025-09-07T06:24:48.9253350Z 
2025-09-07T06:24:48.9253530Z Running inductor/test_max_autotune 1/1 ... [2025-09-07 06:24:48.922953]
2025-09-07T06:24:48.9253850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:24:48.9254730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_max_autotune.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:24:48.923245]
2025-09-07T06:24:51.3364930Z 
2025-09-07T06:24:51.3365580Z inductor/test_max_autotune 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_max_autotune_1.1_81477de8a7e1c1ef_.log
2025-09-07T06:24:51.3366080Z 
2025-09-07T06:24:51.3368470Z Running test_multiprocessing 1/1 ... [2025-09-07 06:24:51.336766]
2025-09-07T06:24:51.3368760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:24:51.3371690Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_multiprocessing.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:24:51.337037]
2025-09-07T06:27:52.4328340Z 
2025-09-07T06:27:52.4328970Z test_multiprocessing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_1.1_1681990d9d3d90b6_.log
2025-09-07T06:27:52.4339010Z Running 42 items in this shard: test/test_multiprocessing.py::TestMultiprocessing::test_autograd_errors, test/test_multiprocessing.py::TestMultiprocessing::test_autograd_fine_with_spawn, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_bad_call, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_ipc_deadlock, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_memory_allocation, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_send_many, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_simple, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_small_tensors, test/test_multiprocessing.py::TestMultiprocessing::test_cuda_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_shared, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_empty_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_event, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_exporter, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_importer, test/test_multiprocessing.py::TestMultiprocessing::test_event_handle_multi_gpu, test/test_multiprocessing.py::TestMultiprocessing::test_event_multiprocess, test/test_multiprocessing.py::TestMultiprocessing::test_fd_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fd_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fd_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs, test/test_multiprocessing.py::TestMultiprocessing::test_fs_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_fs_pool, test/test_multiprocessing.py::TestMultiprocessing::test_fs_preserve_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_fs_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_inherit_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cpu, test/test_multiprocessing.py::TestMultiprocessing::test_integer_parameter_serialization_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared, test/test_multiprocessing.py::TestMultiprocessing::test_is_shared_cuda, test/test_multiprocessing.py::TestMultiprocessing::test_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_meta_simple, test/test_multiprocessing.py::TestMultiprocessing::test_mixed_types_cuda_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_non_leaf_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_parameter_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_rebuild_cuda_tensor, test/test_multiprocessing.py::TestMultiprocessing::test_set_thread_name, test/test_multiprocessing.py::TestMultiprocessing::test_tensor_sharing_meta, test/test_multiprocessing.py::TestMultiprocessing::test_variable_sharing, test/test_multiprocessing.py::TestMultiprocessing::test_wrong_cuda_fork
2025-09-07T06:27:52.4348580Z 
2025-09-07T06:27:52.4348710Z Running test_dispatch 1/1 ... [2025-09-07 06:27:52.433187]
2025-09-07T06:27:52.4349000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:27:52.4350000Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:27:52.433474]
2025-09-07T06:28:12.6831640Z 
2025-09-07T06:28:12.6832170Z test_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dispatch_1.1_42b8d064a956e1f2_.log
2025-09-07T06:28:12.6840230Z Running 32 items in this shard: test/test_dispatch.py::TestDispatch::test_all_invariants, test/test_dispatch.py::TestDispatch::test_computed_table, test/test_dispatch.py::TestDispatch::test_computed_table_with_ambiguous_autogradother, test/test_dispatch.py::TestDispatch::test_computed_table_with_autograd, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_autograd_math_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_defaultbackend, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math, test/test_dispatch.py::TestDispatch::test_computed_table_with_cpu_math_autogradcpu_fallthrough, test/test_dispatch.py::TestDispatch::test_computed_table_with_math, test/test_dispatch.py::TestDispatch::test_def, test/test_dispatch.py::TestDispatch::test_def_impl_schema_mismatch, test/test_dispatch.py::TestDispatch::test_def_only, test/test_dispatch.py::TestDispatch::test_def_with_explicit_alias, test/test_dispatch.py::TestDispatch::test_def_with_inference, test/test_dispatch.py::TestDispatch::test_dispatch_print_registrations_for_dispatch_key_invalid, test/test_dispatch.py::TestDispatch::test_find_dangling_impls, test/test_dispatch.py::TestDispatch::test_find_dangling_impls_ext, test/test_dispatch.py::TestDispatch::test_impl_only, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_defaulting, test/test_dispatch.py::TestDispatch::test_multiple_def_alias_mismatch, test/test_dispatch.py::TestDispatch::test_multiple_def_error, test/test_dispatch.py::TestDispatch::test_multiple_fallback, test/test_dispatch.py::TestDispatch::test_overwrite_math, test/test_dispatch.py::TestPythonDispatcher::test_autogradother, test/test_dispatch.py::TestPythonDispatcher::test_basic, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_defaultbackend_math, test/test_dispatch.py::TestPythonDispatcher::test_duplicate_registrations, test/test_dispatch.py::TestPythonDispatcher::test_math_autogradcpu, test/test_dispatch.py::TestPythonDispatcher::test_quantized_structured_not_implemented
2025-09-07T06:28:12.6848200Z 
2025-09-07T06:28:12.6848400Z Running test_namedtuple_return_api 1/1 ... [2025-09-07 06:28:12.683592]
2025-09-07T06:28:12.6848790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:12.6849820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_namedtuple_return_api.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:12.683934]
2025-09-07T06:28:15.0486980Z 
2025-09-07T06:28:15.0487660Z test_namedtuple_return_api 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtuple_return_api_1.1_13439b6a92d6ea25_.log
2025-09-07T06:28:15.0489090Z Running 3 items in this shard: test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_import_return_types, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_namedtuple_return, test/test_namedtuple_return_api.py::TestNamedTupleAPI::test_native_functions_yaml
2025-09-07T06:28:15.0489980Z 
2025-09-07T06:28:15.0491250Z Running test_cpp_extensions_mtia_backend 1/1 ... [2025-09-07 06:28:15.049062]
2025-09-07T06:28:15.0491650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:15.0495730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_cpp_extensions_mtia_backend.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:15.049435]
2025-09-07T06:28:16.6282210Z 
2025-09-07T06:28:16.6282910Z test_cpp_extensions_mtia_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_mtia_backend_1.1_f21ede9dc6cfe662_.log
2025-09-07T06:28:16.6284800Z Running 5 items in this shard: test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_device_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_get_device_module, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_basic, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context, test/test_cpp_extensions_mtia_backend.py::TestCppExtensionMTIABackend::test_stream_context_different_device
2025-09-07T06:28:16.6286210Z 
2025-09-07T06:28:16.6286360Z Running test_jit_disabled 1/1 ... [2025-09-07 06:28:16.628575]
2025-09-07T06:28:16.6289290Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:16.6290330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_jit_disabled.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:16.628890]
2025-09-07T06:28:18.4884600Z 
2025-09-07T06:28:18.4885130Z test_jit_disabled 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_disabled_1.1_557397f43974bdeb_.log
2025-09-07T06:28:18.4886100Z Running 3 items in this shard: test/test_jit_disabled.py::TestJitDisabled::test_attribute, test/test_jit_disabled.py::TestJitDisabled::test_recursive_script, test/test_jit_disabled.py::TestJitDisabled::test_script_module_construction
2025-09-07T06:28:18.4886720Z 
2025-09-07T06:28:18.4888060Z Running test_fake_tensor 1/1 ... [2025-09-07 06:28:18.488756]
2025-09-07T06:28:18.4888320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:18.4891120Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_fake_tensor.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:18.489014]
2025-09-07T06:28:23.5208980Z 
2025-09-07T06:28:23.5209530Z test_fake_tensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_fake_tensor_1.1_c0a0d0c4213d7dbf_.log
2025-09-07T06:28:23.5285980Z Running 290 items in this shard: test/test_fake_tensor.py::FakeTensorTest::test__adaptive_avg_pool2d_backward, test/test_fake_tensor.py::FakeTensorTest::test_alias_call, test/test_fake_tensor.py::FakeTensorTest::test_allow_meta, test/test_fake_tensor.py::FakeTensorTest::test_aten_copy_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_index_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_aten_slice_scatter_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_basic, test/test_fake_tensor.py::FakeTensorTest::test_batch_tensor, test/test_fake_tensor.py::FakeTensorTest::test_binary_op_type_promotion, test/test_fake_tensor.py::FakeTensorTest::test_constructor, test/test_fake_tensor.py::FakeTensorTest::test_convert_fake_to_real, test/test_fake_tensor.py::FakeTensorTest::test_cpu_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cuda_initialized, test/test_fake_tensor.py::FakeTensorTest::test_cuda_lstm, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_with_fallback, test/test_fake_tensor.py::FakeTensorTest::test_cudnn_rnn_without_fallback, test/test_fake_tensor.py::FakeTensorTest::test_custom_op_fallback, test/test_fake_tensor.py::FakeTensorTest::test_data_dependent_operator, test/test_fake_tensor.py::FakeTensorTest::test_deepcopy, test/test_fake_tensor.py::FakeTensorTest::test_device_inplace_copy, test/test_fake_tensor.py::FakeTensorTest::test_embedding_bag_meta, test/test_fake_tensor.py::FakeTensorTest::test_export_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fake_device, test/test_fake_tensor.py::FakeTensorTest::test_fake_dispatch_keys, test/test_fake_tensor.py::FakeTensorTest::test_fake_grad_copy, test/test_fake_tensor.py::FakeTensorTest::test_fake_mode_error, test/test_fake_tensor.py::FakeTensorTest::test_fast_div, test/test_fake_tensor.py::FakeTensorTest::test_from_numpy, test/test_fake_tensor.py::FakeTensorTest::test_fsdp_flat_param, test/test_fake_tensor.py::FakeTensorTest::test_full, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex128, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_complex64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int16, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int32, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int64, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_int8, test/test_fake_tensor.py::FakeTensorTest::test_index_cuda_with_cpu_uint8, test/test_fake_tensor.py::FakeTensorTest::test_index_put_error, test/test_fake_tensor.py::FakeTensorTest::test_jagged_fake_to_fake_preserved, test/test_fake_tensor.py::FakeTensorTest::test_like_constructor, test/test_fake_tensor.py::FakeTensorTest::test_mixed_real_and_fake_inputs, test/test_fake_tensor.py::FakeTensorTest::test_mode, test/test_fake_tensor.py::FakeTensorTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorTest::test_nanmean_out, test/test_fake_tensor.py::FakeTensorTest::test_new, test/test_fake_tensor.py::FakeTensorTest::test_no_tag_func, test/test_fake_tensor.py::FakeTensorTest::test_non_kwarg_device, test/test_fake_tensor.py::FakeTensorTest::test_non_overlapping_stride_zero, test/test_fake_tensor.py::FakeTensorTest::test_non_parameter_grad, test/test_fake_tensor.py::FakeTensorTest::test_normalize_device, test/test_fake_tensor.py::FakeTensorTest::test_op_with_zero_dim_bypassed, test/test_fake_tensor.py::FakeTensorTest::test_out_multi_device, test/test_fake_tensor.py::FakeTensorTest::test_parameter_instantiation, test/test_fake_tensor.py::FakeTensorTest::test_parameter_view, test/test_fake_tensor.py::FakeTensorTest::test_print_in_fake_mode, test/test_fake_tensor.py::FakeTensorTest::test_randperm, test/test_fake_tensor.py::FakeTensorTest::test_recursive_invocation, test/test_fake_tensor.py::FakeTensorTest::test_repr, test/test_fake_tensor.py::FakeTensorTest::test_same_shape_env_preserved, test/test_fake_tensor.py::FakeTensorTest::test_scalar_inputs, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_False, test/test_fake_tensor.py::FakeTensorTest::test_scan_reverse_True, test/test_fake_tensor.py::FakeTensorTest::test_setitem, test/test_fake_tensor.py::FakeTensorTest::test_shape_take_not_device, test/test_fake_tensor.py::FakeTensorTest::test_split_return_self, test/test_fake_tensor.py::FakeTensorTest::test_throw, test/test_fake_tensor.py::FakeTensorTest::test_tolist, test/test_fake_tensor.py::FakeTensorTest::test_type_as, test/test_fake_tensor.py::FakeTensorTest::test_unbind_copy_out, test/test_fake_tensor.py::FakeTensorTest::test_unsqueeze_copy, test/test_fake_tensor.py::FakeTensorTest::test_upsample_bilinear_small_channels, test/test_fake_tensor.py::FakeTensorTest::test_zero_dim, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test__adaptive_avg_pool2d_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_alias_call_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_allow_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_copy_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_index_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_aten_slice_scatter_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_basic_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_batch_tensor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_binary_op_type_promotion_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_convert_fake_to_real_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cpu_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_initialized_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cuda_lstm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_with_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_cudnn_rnn_without_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_custom_op_fallback_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_data_dependent_operator_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_deepcopy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_device_inplace_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_embedding_bag_meta_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_export_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_dispatch_keys_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_grad_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fake_mode_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fast_div_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_from_numpy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_fsdp_flat_param_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_full_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex128_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_complex64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fn_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e4m3fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_float8_e5m2fnuz_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int16_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int32_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int64_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_int8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_cuda_with_cpu_uint8_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_index_put_error_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_jagged_fake_to_fake_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_like_constructor_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mixed_real_and_fake_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_nanmean_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_no_tag_func_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_overlapping_stride_zero_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_non_parameter_grad_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_normalize_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_op_with_zero_dim_bypassed_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_out_multi_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_instantiation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_parameter_view_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_print_in_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_randperm_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_recursive_invocation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_repr_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_same_shape_env_preserved_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scalar_inputs_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_False_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_scan_reverse_True_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_setitem_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_shape_take_not_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_split_return_self_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_throw_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_tolist_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_type_as_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unbind_copy_out_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_unsqueeze_copy_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_upsample_bilinear_small_channels_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorTest::test_zero_dim_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorConstHandling::test_aliased_const_write, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_constant_propagate_through_functions, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_batch_norm_cpu, test/test_fake_tensor.py::FakeTensorConstHandling::test_fake_tensor_in_intlist_repro, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_add, test/test_fake_tensor.py::FakeTensorConstHandling::test_inplace_view_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storage_invalidation, test/test_fake_tensor.py::FakeTensorConstHandling::test_shared_storages, test/test_fake_tensor.py::FakeTensorConstHandling::test_simple, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_aliased_const_write_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_constant_propagate_through_functions_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_batch_norm_cpu_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_fake_tensor_in_intlist_repro_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_add_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_inplace_view_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storage_invalidation_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_shared_storages_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorConstHandling::test_simple_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorOpInfoTestCPU::test_fake_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCatCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyCubeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyMulScalarCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNMSCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyNonzeroCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySortCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyTakeCustomOp_cpu_float32, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOpInfoTestCPU::test_fake_propagate_real_tensors_NumpyViewCopyCustomOp_cpu_float32, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_key, test/test_fake_tensor.py::FakeTensorConverterTest::test_dead_weak_ref, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_from_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_memoized_conversion_to_meta, test/test_fake_tensor.py::FakeTensorConverterTest::test_multiple_modes, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_active_mode, test/test_fake_tensor.py::FakeTensorConverterTest::test_no_ref_cycle, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_mode_error, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_non_view, test/test_fake_tensor.py::FakeTensorConverterTest::test_separate_tensor_storages_view, 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test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_sparse_new, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_str_storage, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device, test/test_fake_tensor.py::FakeTensorOperatorInvariants::test_tensor_new, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_conv_c1_backward_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_cross_entropy_loss_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_embedding_bag_private_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_fake_gpu_no_init_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_flash_attention_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_like_ops_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_module_to_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_no_dispatch_with_like_function_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_non_kwarg_only_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_sparse_new_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_str_storage_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_constructors_all_have_kwarg_device_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorOperatorInvariants::test_tensor_new_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module, test/test_fake_tensor.py::FakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args, test/test_fake_tensor.py::FakeTensorPropTest::test_nan_to_num, test/test_fake_tensor.py::FakeTensorPropTest::test_nonzero_stride, test/test_fake_tensor.py::FakeTensorPropTest::test_torch_load_with_fake_mode, test/test_fake_tensor.py::FakeTensorPropTest::test_unbacked_shape_realloc, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_fake_tensor_prop_on_nn_module_with_optional_args_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nan_to_num_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_nonzero_stride_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_torch_load_with_fake_mode_propagate_real_tensors, test/test_fake_tensor.py::PropagateRealTensorsFakeTensorPropTest::test_unbacked_shape_realloc_propagate_real_tensors, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization, test/test_fake_tensor.py::FakeTensorSerialization::test_serialization_with_tracing, test/test_fake_tensor.py::FakeTensorDispatchCache::test__upsample_bilinear2d_aa_backward_dynamic_shapes, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_aten_index, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_bypass, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_default_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_dispatch_key_set, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_hit, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_inplace_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_constants, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_device, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_dtype, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_conj, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_inference, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_is_neg, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_memory_format, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_requires_grad, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_shape, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_storage_offset, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_key_stride, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_tuple_outputs, test/test_fake_tensor.py::FakeTensorDispatchCache::test_cache_view_op, test/test_fake_tensor.py::FakeTensorDispatchCache::test_fft_hfft2_issue145522, test/test_fake_tensor.py::FakeTensorDispatchCache::test_from_buffer, test/test_fake_tensor.py::FakeTensorDispatchCache::test_inference_mode, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph, test/test_fake_tensor.py::FakeTensorDispatchCache::test_invoke_subgraph_cacheable_inplace, test/test_fake_tensor.py::FakeTensorDispatchCache::test_meta_tensor_to_fake_cpu, test/test_fake_tensor.py::FakeTensorDispatchCache::test_shape_env_settings, test/test_fake_tensor.py::FakeTensorDispatchCache::test_unbacked_output, test/test_fake_tensor.py::FakeTensorDispatchCache::test_wrapper_tensor_subclass_different_device, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type, test/test_fake_tensor.py::FakeTensorPreferDeviceType::test_fake_tensor_prefer_device_type_cpu_only
2025-09-07T06:28:23.5355790Z 
2025-09-07T06:28:23.5355920Z Running test_cuda_trace 1/1 ... [2025-09-07 06:28:23.521438]
2025-09-07T06:28:23.5356170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:23.5356940Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_cuda_trace.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:23.521730]
2025-09-07T06:28:25.0483600Z 
2025-09-07T06:28:25.0484200Z test_cuda_trace 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_trace_1.1_4d9b63986653c548_.log
2025-09-07T06:28:25.0484660Z Running 0 items in this shard:
2025-09-07T06:28:25.0484790Z 
2025-09-07T06:28:25.0487480Z Running test_cpp_extensions_stream_and_event 1/1 ... [2025-09-07 06:28:25.048662]
2025-09-07T06:28:25.0487810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:25.0490760Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_cpp_extensions_stream_and_event.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:25.048961]
2025-09-07T06:28:26.6303550Z 
2025-09-07T06:28:26.6304260Z test_cpp_extensions_stream_and_event 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_stream_and_event_1.1_425a547bd48762a7_.log
2025-09-07T06:28:26.6305190Z Running 1 items in this shard: test/test_cpp_extensions_stream_and_event.py::TestCppExtensionStreamAndEvent::test_stream_event
2025-09-07T06:28:26.6305590Z 
2025-09-07T06:28:26.6307920Z Running test_python_dispatch 1/1 ... [2025-09-07 06:28:26.630727]
2025-09-07T06:28:26.6308230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:26.6311130Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_python_dispatch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:26.631021]
2025-09-07T06:28:32.2403610Z 
2025-09-07T06:28:32.2404230Z test_python_dispatch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_python_dispatch_1.1_8d9c0f4190714d9a_.log
2025-09-07T06:28:32.2437550Z Running 119 items in this shard: test/test_python_dispatch.py::TestDispatcherPythonBindings::test_call_boxed, test/test_python_dispatch.py::TestPythonRegistration::test_alias_analysis, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_no_existing, test/test_python_dispatch.py::TestPythonRegistration::test_create_new_library_fragment_with_existing, test/test_python_dispatch.py::TestPythonRegistration::test_dispatcher_error_filenames, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_eq, test/test_python_dispatch.py::TestPythonRegistration::test_dispatchkeyset_pickle, test/test_python_dispatch.py::TestPythonRegistration::test_error_for_unsupported_ns_or_kind, test/test_python_dispatch.py::TestPythonRegistration::test_error_if_fn_not_callable, test/test_python_dispatch.py::TestPythonRegistration::test_extend_library_with_dispatch_key_arg, test/test_python_dispatch.py::TestPythonRegistration::test_fallback, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_fallback_keyset, test/test_python_dispatch.py::TestPythonRegistration::test_fallthrough_for_dense_key_with_meta_in_tls, test/test_python_dispatch.py::TestPythonRegistration::test_finalizer, test/test_python_dispatch.py::TestPythonRegistration::test_override_aten_ops_with_multiple_libraries, test/test_python_dispatch.py::TestPythonRegistration::test_override_cpu_sum, test/test_python_dispatch.py::TestPythonRegistration::test_override_cuda_with_jiterator, test/test_python_dispatch.py::TestPythonRegistration::test_register_fallthrough, test/test_python_dispatch.py::TestPythonRegistration::test_returning_symint, test/test_python_dispatch.py::TestPythonDispatch::test_all_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_autograd_in_attr, test/test_python_dispatch.py::TestPythonDispatch::test_basic, test/test_python_dispatch.py::TestPythonDispatch::test_capture_logs_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_construct_int_tensor, test/test_python_dispatch.py::TestPythonDispatch::test_custom_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_not_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_dispatch_mode_supports_higher_order_operators, test/test_python_dispatch.py::TestPythonDispatch::test_custom_size_policy_dynamic_shapes, test/test_python_dispatch.py::TestPythonDispatch::test_data_ptr_respects_numel_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_non_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_deepcopy_wrapper_subclass_with_clone_returning_different_type, test/test_python_dispatch.py::TestPythonDispatch::test_detach_appears_twice_when_called_once, test/test_python_dispatch.py::TestPythonDispatch::test_device_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dim_slowpath, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_call_list_arg, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_super_dont_autograd, test/test_python_dispatch.py::TestPythonDispatch::test_dispatch_uint64, test/test_python_dispatch.py::TestPythonDispatch::test_error_using_class_method_on_mode, test/test_python_dispatch.py::TestPythonDispatch::test_exception_handling, test/test_python_dispatch.py::TestPythonDispatch::test_fancy_strides, test/test_python_dispatch.py::TestPythonDispatch::test_format, test/test_python_dispatch.py::TestPythonDispatch::test_get_cur_mode, test/test_python_dispatch.py::TestPythonDispatch::test_get_mode_stack, test/test_python_dispatch.py::TestPythonDispatch::test_index_put_where_only_index_is_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_invalid_ret, test/test_python_dispatch.py::TestPythonDispatch::test_is_contiguous_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only, test/test_python_dispatch.py::TestPythonDispatch::test_kwarg_only_and_positional_default, test/test_python_dispatch.py::TestPythonDispatch::test_layout_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_like, test/test_python_dispatch.py::TestPythonDispatch::test_list_ret, test/test_python_dispatch.py::TestPythonDispatch::test_make_fx_with_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_make_subclass_with_modes, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_noalloc, test/test_python_dispatch.py::TestPythonDispatch::test_make_wrapper_subclass_propagates_metadata, test/test_python_dispatch.py::TestPythonDispatch::test_maybe_tuple_bug, test/test_python_dispatch.py::TestPythonDispatch::test_mode_detection, test/test_python_dispatch.py::TestPythonDispatch::test_mode_with_make_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_multiple_ops_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_nested_push_logging_tensor_mode, test/test_python_dispatch.py::TestPythonDispatch::test_nesting_same_mode, test/test_python_dispatch.py::TestPythonDispatch::test_new_ones, test/test_python_dispatch.py::TestPythonDispatch::test_none_wrapping, test/test_python_dispatch.py::TestPythonDispatch::test_notimplemented_mode, test/test_python_dispatch.py::TestPythonDispatch::test_optional_tensor_list, test/test_python_dispatch.py::TestPythonDispatch::test_out, test/test_python_dispatch.py::TestPythonDispatch::test_produce_real_type, test/test_python_dispatch.py::TestPythonDispatch::test_record_stream, test/test_python_dispatch.py::TestPythonDispatch::test_return_and_correct_aliasing_gives_correct_stride, test/test_python_dispatch.py::TestPythonDispatch::test_return_stream, test/test_python_dispatch.py::TestPythonDispatch::test_set_data, test/test_python_dispatch.py::TestPythonDispatch::test_shallow_copy_and_detach, test/test_python_dispatch.py::TestPythonDispatch::test_sizes_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_standard_is_not_subclass, test/test_python_dispatch.py::TestPythonDispatch::test_storage, test/test_python_dispatch.py::TestPythonDispatch::test_storage_can_be_converted_to_python_object, test/test_python_dispatch.py::TestPythonDispatch::test_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_creation, test/test_python_dispatch.py::TestPythonDispatch::test_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_sym_sizes_strides_slow_path, test/test_python_dispatch.py::TestPythonDispatch::test_tolist_numpy_with_torch_dispatch_mode, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_basic, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_respects_no_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_subclass_priority, test/test_python_dispatch.py::TestPythonDispatch::test_torch_dispatch_mode_unrelated_tensors, test/test_python_dispatch.py::TestPythonDispatch::test_version, test/test_python_dispatch.py::TestPythonDispatch::test_view_returns_alias_under_torch_dispatch, test/test_python_dispatch.py::TestPythonDispatch::test_with_mode_created_separately, test/test_python_dispatch.py::TestPythonDispatch::test_with_nested_modes, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_extra_dispatch_keys, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_multiprocessing_preserves_dtype, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_reentrant_dispatch_with_mode, test/test_python_dispatch.py::TestPythonDispatch::test_wrapper_subclass_serializes, test/test_python_dispatch.py::TestPythonDispatcher::test_basic, test/test_python_dispatch.py::TestPythonDispatcher::test_lstsq, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_cat_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_conv2d_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCatCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyCubeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyMulScalarCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNMSCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyNonzeroCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySortCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpySplitCopyWithIntCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyTakeCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_custom_NumpyViewCopyCustomOp_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_fft_fft2_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_mul_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_native_batch_norm_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_out_op_cpu, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_split_list_args_cpu_float32, test/test_python_dispatch.py::TestWrapperSubclassAliasingCPU::test_wrapper_subclass_aliasing_view_cpu_float32
2025-09-07T06:28:32.2468880Z 
2025-09-07T06:28:32.2469050Z Running test_tensor_creation_ops 1/1 ... [2025-09-07 06:28:32.240838]
2025-09-07T06:28:32.2469420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:32.2476200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_tensor_creation_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:32.241170]
2025-09-07T06:28:41.8414340Z 
2025-09-07T06:28:41.8415020Z test_tensor_creation_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensor_creation_ops_1.1_ddaa83b00bd1b7f7_.log
2025-09-07T06:28:41.8552140Z Running 646 items in this shard: test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_device_vs_cpu_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_arange_lowp_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_strided_neg_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_as_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_block_diag_scipy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cartesian_prod_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat2_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_big_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_empty_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_in_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_misaligned_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_multi_batch_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_fast_path_dim0_dim1_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_out_memory_format_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_preserve_channels_last_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_size1_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_stack_cross_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_cat_trailing_dim_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_combinations_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_complex_type_conversions_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_concat_empty_list_error_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_device_legacy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_constructor_dtypes_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ctor_with_numpy_array_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_device_rounding_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diag_embed_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_diagflat_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_dstack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_full_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_overflow_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_empty_tensor_props_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_eye_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_fill_all_dtypes_and_devices_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_finite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_float_to_int_conversion_nonfinite_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_False_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_from_file_shared_True_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_inference_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_full_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_hstack_column_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_kaiser_window_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_large_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_like_fn_stride_proparation_vs_tensoriterator_unary_op_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linlogspace_mem_overlap_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_linspace_vs_numpy_integral_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_base2_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_deduction_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_device_vs_cpu_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_special_steps_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_complex_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_logspace_vs_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_default_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_ij_indexing_is_default_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_inconsistent_dtype_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_non_1d_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_unsupported_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_vs_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_warns_if_no_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_meshgrid_xy_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_empty_strided_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_methods_requires_grad_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_new_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_offset_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_ones_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_default_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_bool_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_from_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_full_range_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_random_to_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_factories_64bit_indexing_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_range_warning_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_refs_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_repeat_interleave_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_roll_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_bartlett_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_blackman_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hamming_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_window_functions_window_hann_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_bartlett_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_blackman_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_cosine_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hamming_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_hann_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_signal_windows_functions_window_nuttall_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_simple_scalar_cast_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_stack_out_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_storage_filename_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_strided_mismatched_stride_shape_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_ctor_device_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_device_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factories_empty_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_copy_var_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_gpu_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_factory_type_inference_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_non_writable_numpy_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_tensor_from_sequence_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_floating_dtype_error_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_out_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_complex_same_dtype_error_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_torch_polar_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_unpack_double_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vander_types_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vsplit_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex128, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_float64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_int8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_vstack_row_stack_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_bounds_checking_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_cpu, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_bool, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_complex64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_float32, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int16, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_int64, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_dtype_layout_device_match_cpu_uint8, test/test_tensor_creation_ops.py::TestTensorCreationCPU::test_zeros_out_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_normal_std_error_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_rand_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_distribution_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randint_inference_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_bfloat16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex128, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_complex64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randn_cpu_float64, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_random_neg_values_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_device_compatibility_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_randperm_large_cpu, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float16, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float32, test/test_tensor_creation_ops.py::TestRandomTensorCreationCPU::test_uniform_from_to_cpu_float64, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_empty_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_full_like_inference_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_ones_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_cpu, test/test_tensor_creation_ops.py::TestLikeTensorCreationCPU::test_zeros_like_multiple_device_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_byte_to_int_cpu, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_invalid_positional_args_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_non_writable_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_not_a_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_requires_grad_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_same_type_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_shared_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_and_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_count_cpu_uint8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_bool, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex128, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_complex64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_float64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_int8, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint16, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint32, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint64, test/test_tensor_creation_ops.py::TestBufferProtocolCPU::test_with_offset_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_alias_from_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_astensor_consistency_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_buffer_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_dlpack_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_numpy_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_from_tensor_mult_devices_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_list_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bfloat16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_bool, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex128, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_float64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int16, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_int8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_copy_tensor_cpu_uint8, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_default_device_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_device_without_index_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_numpy_scalars_cpu, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_complex64, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_retain_autograd_history_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_cpu_float32, test/test_tensor_creation_ops.py::TestAsArrayCPU::test_unsupported_alias_mult_devices_cpu_float32
2025-09-07T06:28:41.8683450Z 
2025-09-07T06:28:41.8683590Z Running test_cuda_nvml_based_avail 1/1 ... [2025-09-07 06:28:41.842113]
2025-09-07T06:28:41.8683870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:41.8684630Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_cuda_nvml_based_avail.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:41.842383]
2025-09-07T06:28:43.3697720Z 
2025-09-07T06:28:43.3698320Z test_cuda_nvml_based_avail 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_nvml_based_avail_1.1_4fb74c1d06487182_.log
2025-09-07T06:28:43.3698840Z Running 0 items in this shard:
2025-09-07T06:28:43.3698970Z 
2025-09-07T06:28:43.3701310Z Running test_autograd_fallback 1/1 ... [2025-09-07 06:28:43.370059]
2025-09-07T06:28:43.3701850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:43.3704430Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_autograd_fallback.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:43.370328]
2025-09-07T06:28:45.1778330Z 
2025-09-07T06:28:45.1778870Z test_autograd_fallback 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autograd_fallback_1.1_80acea7dc2dd1386_.log
2025-09-07T06:28:45.1786140Z Running 28 items in this shard: test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_base_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_composite_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_cpu_return_self_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_autograd_function_registered_to_cpu_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_inplace_on_tensor_that_does_not_require_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_inplace_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_autograd_kernel_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_no_grad_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_leaf_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_post_autograd_returns_mix_of_requires_grad_tensors_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_supports_tensor_lists_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_grads_mode_warn, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_nothing, test/test_autograd_fallback.py::TestAutogradFallback::test_undefined_inputs_outputs_mode_warn
2025-09-07T06:28:45.1793320Z 
2025-09-07T06:28:45.1793480Z Running dynamo/test_fake_distributed 1/1 ... [2025-09-07 06:28:45.178141]
2025-09-07T06:28:45.1793760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:45.1794530Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_fake_distributed.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:45.178400]
2025-09-07T06:28:48.5988180Z 
2025-09-07T06:28:48.5989120Z dynamo/test_fake_distributed 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_fake_distributed_1.1_edca7c799565dbed_.log
2025-09-07T06:28:48.5990400Z Running 2 items in this shard: test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_all_to_all_single_autograd, test/dynamo/test_fake_distributed.py::TestFakeDistributed::test_device_mesh_get_local_rank
2025-09-07T06:28:48.5991110Z 
2025-09-07T06:28:48.5992640Z Running inductor/test_distributed_patterns 1/1 ... [2025-09-07 06:28:48.599192]
2025-09-07T06:28:48.5993040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:48.5996290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_distributed_patterns.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:48.599516]
2025-09-07T06:28:50.9984010Z 
2025-09-07T06:28:50.9984680Z inductor/test_distributed_patterns 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_distributed_patterns_1.1_42aca8c805d1f4ef_.log
2025-09-07T06:28:50.9985370Z 
2025-09-07T06:28:50.9987570Z Running test_autocast 1/1 ... [2025-09-07 06:28:50.998677]
2025-09-07T06:28:50.9987840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:50.9990380Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_autocast.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:50.998946]
2025-09-07T06:28:53.1957500Z 
2025-09-07T06:28:53.1958000Z test_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autocast_1.1_216bd2e2b8bc509b_.log
2025-09-07T06:28:53.1961820Z Running 20 items in this shard: test/test_autocast.py::TestAutocastCPU::test_autocast_disabled_with_fp32_dtype, test/test_autocast.py::TestAutocastCPU::test_autocast_methods_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_16, test/test_autocast.py::TestAutocastCPU::test_autocast_nn_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_rnn, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_16, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_expect_builtin_promote, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_fp32, test/test_autocast.py::TestAutocastCPU::test_autocast_torch_need_autocast_promote, test/test_autocast.py::TestAutocastCPU::test_cpu_autocast_deprecated_warning, test/test_autocast.py::TestAutocastCPU::test_generic_autocast, test/test_autocast.py::TestAutocastGPU::test_autocast_prioritize, test/test_autocast.py::TestAutocastGPU::test_cache_disabled, test/test_autocast.py::TestAutocastGPU::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_cast_cache_is_global, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_bfloat16_supported, test/test_autocast.py::TestAutocastMPS::test_mps_autocast_error_message, test/test_autocast.py::TestTorchAutocast::test_autocast_fast_dtype, test/test_autocast.py::TestTorchAutocast::test_invalid_device, test/test_autocast.py::TestTorchAutocast::test_non_string_device
2025-09-07T06:28:53.1965670Z 
2025-09-07T06:28:53.1965770Z Running test_torch 1/1 ... [2025-09-07 06:28:53.196052]
2025-09-07T06:28:53.1966000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:53.1966690Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_torch.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:53.196305]
2025-09-07T06:28:59.5921330Z 
2025-09-07T06:28:59.5921860Z test_torch 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_torch_1.1_ce657c96dbe9a488_.log
2025-09-07T06:28:59.6102630Z Running 953 items in this shard: test/test_torch.py::TestBasicVitalSigns::test_basic_vitals, test/test_torch.py::TestBasicVitalSigns::test_basic_vitals_read_write, test/test_torch.py::TestBasicVitalSigns::test_dataloader_vitals, test/test_torch.py::TestTorch::test_RNGState, test/test_torch.py::TestTorch::test_RNGStateAliasing, test/test_torch.py::TestTorch::test_RNG_after_pickle, test/test_torch.py::TestTorch::test_Size, test/test_torch.py::TestTorch::test_Size_concat_non_tuple_sequence, test/test_torch.py::TestTorch::test_Size_concat_wildcard, test/test_torch.py::TestTorch::test_Size_iter, test/test_torch.py::TestTorch::test_Size_scalar, test/test_torch.py::TestTorch::test_add_meta_scalar, test/test_torch.py::TestTorch::test_allow_tensor_metadata_change, test/test_torch.py::TestTorch::test_apply, test/test_torch.py::TestTorch::test_as_subclass, test/test_torch.py::TestTorch::test_assert_async, test/test_torch.py::TestTorch::test_backward_hooks_traverse, test/test_torch.py::TestTorch::test_batch_norm_cpu_inference, test/test_torch.py::TestTorch::test_bf16_supported_on_cpu, test/test_torch.py::TestTorch::test_bmm_multithreaded, test/test_torch.py::TestTorch::test_boxMullerState, test/test_torch.py::TestTorch::test_cat_neg_dim, test/test_torch.py::TestTorch::test_check, test/test_torch.py::TestTorch::test_chunk_neg_dim, test/test_torch.py::TestTorch::test_conj_neg_tolist, test/test_torch.py::TestTorch::test_conj_physical_meta_stride, test/test_torch.py::TestTorch::test_contains, test/test_torch.py::TestTorch::test_copy_broadcast, test/test_torch.py::TestTorch::test_copy_dtypes, test/test_torch.py::TestTorch::test_copy_float16, test/test_torch.py::TestTorch::test_copy_many_to_one, test/test_torch.py::TestTorch::test_copy_transpose, test/test_torch.py::TestTorch::test_cuda_not_built, test/test_torch.py::TestTorch::test_cummax_neg_dim, test/test_torch.py::TestTorch::test_cummin_neg_dim, test/test_torch.py::TestTorch::test_cumprod_neg_dim, test/test_torch.py::TestTorch::test_cumsum_neg_dim, test/test_torch.py::TestTorch::test_cxx_flags, test/test_torch.py::TestTorch::test_data_ptr_of_empty_tensor_with_storage, test/test_torch.py::TestTorch::test_data_ptr_of_empty_view_with_storage, test/test_torch.py::TestTorch::test_deepcopy_gradient, test/test_torch.py::TestTorch::test_deepcopy_parameter, test/test_torch.py::TestTorch::test_deterministic_fill_uninitialized_memory, test/test_torch.py::TestTorch::test_deterministic_flag, test/test_torch.py::TestTorch::test_device, test/test_torch.py::TestTorch::test_dim_order, test/test_torch.py::TestTorch::test_dir, test/test_torch.py::TestTorch::test_doc, test/test_torch.py::TestTorch::test_doc_template, test/test_torch.py::TestTorch::test_dot_data_use, test/test_torch.py::TestTorch::test_dtype_is_signed, test/test_torch.py::TestTorch::test_element_size, test/test_torch.py::TestTorch::test_empty_meta, test/test_torch.py::TestTorch::test_empty_storage_view, test/test_torch.py::TestTorch::test_equal, test/test_torch.py::TestTorch::test_error_msg_type_translation, test/test_torch.py::TestTorch::test_fill_diagonal, test/test_torch.py::TestTorch::test_format_scalar_meta, test/test_torch.py::TestTorch::test_from_buffer, test/test_torch.py::TestTorch::test_from_file, test/test_torch.py::TestTorch::test_gather_neg_dim, test/test_torch.py::TestTorch::test_generator_cpu, test/test_torch.py::TestTorch::test_get_cpu_capability, test/test_torch.py::TestTorch::test_has_internal_overlap, test/test_torch.py::TestTorch::test_has_storage, test/test_torch.py::TestTorch::test_index_add, test/test_torch.py::TestTorch::test_index_add_all_dtypes, test/test_torch.py::TestTorch::test_index_add_cornercase, test/test_torch.py::TestTorch::test_index_add_correctness, test/test_torch.py::TestTorch::test_index_add_neg_dim, test/test_torch.py::TestTorch::test_index_copy_neg_dim, test/test_torch.py::TestTorch::test_index_fill_neg_dim, test/test_torch.py::TestTorch::test_index_select_neg_dim, test/test_torch.py::TestTorch::test_invalid_arg_error_handling, test/test_torch.py::TestTorch::test_invalid_generator_raises, test/test_torch.py::TestTorch::test_is_nonzero, test/test_torch.py::TestTorch::test_is_same_size, test/test_torch.py::TestTorch::test_iter, test/test_torch.py::TestTorch::test_kthvalue_neg_dim, test/test_torch.py::TestTorch::test_linspace_logspace, test/test_torch.py::TestTorch::test_logcumsumexp_neg_dim, test/test_torch.py::TestTorch::test_manual_seed, test/test_torch.py::TestTorch::test_map, test/test_torch.py::TestTorch::test_map2, test/test_torch.py::TestTorch::test_max_neg_dim, test/test_torch.py::TestTorch::test_mean_neg_dim, test/test_torch.py::TestTorch::test_median_neg_dim, test/test_torch.py::TestTorch::test_memory_format, test/test_torch.py::TestTorch::test_memory_format_contiguous_returns_same_tensor_if_already_satisfies, test/test_torch.py::TestTorch::test_memory_format_empty, test/test_torch.py::TestTorch::test_min_neg_dim, test/test_torch.py::TestTorch::test_mode_neg_dim, test/test_torch.py::TestTorch::test_multinomial_invalid_probs, test/test_torch.py::TestTorch::test_nanmedian_neg_dim, test/test_torch.py::TestTorch::test_narrow_neg_dim, test/test_torch.py::TestTorch::test_nbytes, test/test_torch.py::TestTorch::test_ndim, test/test_torch.py::TestTorch::test_new, test/test_torch.py::TestTorch::test_newaxis_numpy_comparison, test/test_torch.py::TestTorch::test_newindex, test/test_torch.py::TestTorch::test_no_cuda_monkeypatch, test/test_torch.py::TestTorch::test_norm_neg_dim, test/test_torch.py::TestTorch::test_normal_shape, test/test_torch.py::TestTorch::test_numel, test/test_torch.py::TestTorch::test_parallel_info, test/test_torch.py::TestTorch::test_parsing_double, test/test_torch.py::TestTorch::test_parsing_int64, test/test_torch.py::TestTorch::test_parsing_intlist, test/test_torch.py::TestTorch::test_permute, test/test_torch.py::TestTorch::test_pickle, test/test_torch.py::TestTorch::test_pickle_dtype, test/test_torch.py::TestTorch::test_pickle_function, test/test_torch.py::TestTorch::test_pickle_generator, test/test_torch.py::TestTorch::test_pickle_parameter, test/test_torch.py::TestTorch::test_pickle_parameter_no_requires_grad, test/test_torch.py::TestTorch::test_pickle_size, test/test_torch.py::TestTorch::test_pin_memory, test/test_torch.py::TestTorch::test_print, test/test_torch.py::TestTorch::test_prod_neg_dim, test/test_torch.py::TestTorch::test_pyobj_preserved, test/test_torch.py::TestTorch::test_qengine, test/test_torch.py::TestTorch::test_renorm_neg_dim, test/test_torch.py::TestTorch::test_resizable, test/test_torch.py::TestTorch::test_reversed, test/test_torch.py::TestTorch::test_scatter_neg_dim, test/test_torch.py::TestTorch::test_select_neg_dim, test/test_torch.py::TestTorch::test_set_flush_denormal, test/test_torch.py::TestTorch::test_setting_real_imag_to_a_number, test/test_torch.py::TestTorch::test_show_config, test/test_torch.py::TestTorch::test_size_neg_dim, test/test_torch.py::TestTorch::test_size_stride, test/test_torch.py::TestTorch::test_sizeof, test/test_torch.py::TestTorch::test_slice, test/test_torch.py::TestTorch::test_slow_test, test/test_torch.py::TestTorch::test_sobolengine_bounds, test/test_torch.py::TestTorch::test_sobolengine_bounds_scrambled, test/test_torch.py::TestTorch::test_sobolengine_continuing, test/test_torch.py::TestTorch::test_sobolengine_continuing_scrambled, test/test_torch.py::TestTorch::test_sobolengine_default_dtype, test/test_torch.py::TestTorch::test_sobolengine_distribution, test/test_torch.py::TestTorch::test_sobolengine_distribution_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw, test/test_torch.py::TestTorch::test_sobolengine_draw_base2, test/test_torch.py::TestTorch::test_sobolengine_draw_base2_scrambled, test/test_torch.py::TestTorch::test_sobolengine_draw_scrambled, test/test_torch.py::TestTorch::test_sobolengine_fast_forward, test/test_torch.py::TestTorch::test_sobolengine_fast_forward_scrambled, test/test_torch.py::TestTorch::test_sobolengine_first_point, test/test_torch.py::TestTorch::test_sobolengine_high_dim, test/test_torch.py::TestTorch::test_sobolengine_raise, test/test_torch.py::TestTorch::test_sobolengine_reset, test/test_torch.py::TestTorch::test_sobolengine_reset_scrambled, test/test_torch.py::TestTorch::test_sort_neg_dim, test/test_torch.py::TestTorch::test_split_neg_dim, test/test_torch.py::TestTorch::test_split_with_sizes_copy_out, test/test_torch.py::TestTorch::test_squeeze_neg_dim, test/test_torch.py::TestTorch::test_std_neg_dim, test/test_torch.py::TestTorch::test_storage_base_init, test/test_torch.py::TestTorch::test_storage_base_new, test/test_torch.py::TestTorch::test_storage_byteswap, test/test_torch.py::TestTorch::test_storage_casts, test/test_torch.py::TestTorch::test_storage_cycle_via_dict, test/test_torch.py::TestTorch::test_storage_cycle_via_slots, test/test_torch.py::TestTorch::test_storage_dead_weak_ref, test/test_torch.py::TestTorch::test_storage_dealloc, test/test_torch.py::TestTorch::test_storage_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_resurrected, test/test_torch.py::TestTorch::test_storage_dealloc_subclass_zombie, test/test_torch.py::TestTorch::test_storage_dict_dealloc, test/test_torch.py::TestTorch::test_storage_error, test/test_torch.py::TestTorch::test_storage_error_no_attribute, test/test_torch.py::TestTorch::test_storage_finalizer_dealloc, test/test_torch.py::TestTorch::test_storage_fix_weakref_no_leak, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_resurrected, test/test_torch.py::TestTorch::test_storage_from_tensor_dealloc_zombie, test/test_torch.py::TestTorch::test_storage_preserve_nonhermetic_in_hermetic_context, test/test_torch.py::TestTorch::test_storage_resurrected_weak_ref, test/test_torch.py::TestTorch::test_storage_slot_dealloc, test/test_torch.py::TestTorch::test_storage_weakref_dealloc, test/test_torch.py::TestTorch::test_structseq_repr, test/test_torch.py::TestTorch::test_subclass_preserved, test/test_torch.py::TestTorch::test_subclass_tensors, test/test_torch.py::TestTorch::test_sum_neg_dim, test/test_torch.py::TestTorch::test_swap_basic, test/test_torch.py::TestTorch::test_swap_fail_slots, test/test_torch.py::TestTorch::test_t_not_2d_error, test/test_torch.py::TestTorch::test_tensor_base_init, test/test_torch.py::TestTorch::test_tensor_base_new, test/test_torch.py::TestTorch::test_tensor_ctor_scalar, test/test_torch.py::TestTorch::test_tensor_cycle_via_dict, test/test_torch.py::TestTorch::test_tensor_cycle_via_slots, test/test_torch.py::TestTorch::test_tensor_dead_weak_ref, test/test_torch.py::TestTorch::test_tensor_dict_dealloc, test/test_torch.py::TestTorch::test_tensor_finalizer_dealloc, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_cauchy_no_inf_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_cuda_backward_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_euclidean_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_grad_p_lt_1_no_nan_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_batch_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cdist_non_contiguous_batch_cpu, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy__cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_all_dtypes_and_devices_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_math_view_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_mem_overlap_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_copy_transpose_math_view_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_corrcoef_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_cov_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cpp_warnings_have_python_context_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cublas_config_nondeterministic_alert_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_cummin_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_cummax_discontiguous_cpu, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_exponential_no_zero_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_deterministic_path_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_gather_backward_one_dim_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_geometric_cpu_int16, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach2_fused_True_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_autocast_foreach_True_fused1_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_clipping_separate_unscale_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_multiple_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_penalty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_state_dict_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_unscale_sparse_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_grad_scaling_update_scale_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_all_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_extreme_cases_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_spacing_list_length_error_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_gradient_type_promotion_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_hook_remove_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_large_inputs_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_add_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_copy_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_index_put_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_int64_upsample3d_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_invalid_shapes_grid_sampler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_is_set_to_cpu, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint16, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint64, test/test_torch.py::TestTorchDeviceTypeCPU::test_item_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_large_cumprod_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_large_cumsum_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_binary_op_no_materialize_cpu_complex128, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_lazy_clone_view_materialize_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_log_normal_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_logcumsumexp_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_lognormal_kstest_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_bool_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bfloat16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bfloat16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_bool_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex128_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex128_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_complex64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float32_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float32_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_float64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int16_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int16_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int32_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int32_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int64_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_int8_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_cpu_uint8_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_fill_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_bool_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_inplace_noncontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_large_tensor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_scatter_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_masked_select_discontiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_clone_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_consistency_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_cpu_and_cuda_ops_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_empty_like_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_factory_like_functions_preserve_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_operators_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_preserved_after_permute_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_propagation_rules_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_to_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_type_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_memory_format_type_shortcuts_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_module_share_memory_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_multinomial_cpu_cpu_float32, 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test/test_torch.py::TestTorchDeviceTypeCPU::test_narrow_copy_non_contiguous_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_narrow_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_no_nondeterministic_alert_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_no_nondeterministic_alert_interpolate_trilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveAvgPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveAvgPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AdaptiveMaxPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_AvgPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_CTCLoss_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_EmbeddingBag_max_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_FractionalMaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxPool3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool1d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool2d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_MaxUnpool3d_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_NLLLoss_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReflectionPad1d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReflectionPad3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad1d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_ReplicationPad3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_bincount_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_grid_sample_2d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_grid_sample_3d_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_histc_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_bicubic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_bilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_linear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_interpolate_trilinear_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_kthvalue_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_median_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_put_accumulate_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_alert_put_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_qint32, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_qint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_quint2x4, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_quint4x2, test/test_torch.py::TestTorchDeviceTypeCPU::test_nondeterministic_resize_quantized_cpu_quint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_normal_kstest_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_normal_kstest_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_normal_kstest_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_nullary_op_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pairwise_distance_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_bool, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_parallel_cow_materialize_error_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_and_graph_partition_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_and_graph_partition_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_and_graph_partition_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_AdamW_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_Adam_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_params_invalidated_with_grads_invalidated_between_unscale_and_step_SGD_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_pdist_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pdist_norm_large_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pickle_gradscaler_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_pin_memory_from_constructor_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_accumulate_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_float64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int16, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int32, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int64, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_int8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_cpu_uint8, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_empty_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_put_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_reduced_type_float_copy_cpu_bfloat16, test/test_torch.py::TestTorchDeviceTypeCPU::test_reduced_type_float_copy_cpu_float16, test/test_torch.py::TestTorchDeviceTypeCPU::test_repeat_interleave_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scalar_check_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_bool_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_non_unique_index_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_one_dim_deterministic_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_add_to_large_input_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_bool_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_mem_overlap_cpu, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex128, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_multiply_unsupported_dtypes_cpu_complex64, test/test_torch.py::TestTorchDeviceTypeCPU::test_scatter_reduce_non_unique_index_cpu_bfloat16, 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2025-09-07T06:28:59.6263710Z 
2025-09-07T06:28:59.6263850Z Running test_sort_and_select 1/1 ... [2025-09-07 06:28:59.593078]
2025-09-07T06:28:59.6264110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:28:59.6264820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_sort_and_select.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:28:59.593385]
2025-09-07T06:29:02.3975940Z 
2025-09-07T06:29:02.3976490Z test_sort_and_select 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sort_and_select_1.1_3bda7eb1445c1f2f_.log
2025-09-07T06:29:02.4001130Z Running 113 items in this shard: test/test_sort_and_select.py::TestSortAndSelectCPU::test_complex_unsupported_cpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_devices_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_isin_different_dtypes_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_kthvalue_scalar_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_msort_cpu_int16, 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test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_arguments_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_integral_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_lower_precision_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_noncontiguous_gpu_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_nonfinite_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_quantized_scalar_input_cpu, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_topk_zero_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_consecutive_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bfloat16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_bool, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_float64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int16, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int32, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int64, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_int8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_cpu_uint8, test/test_sort_and_select.py::TestSortAndSelectCPU::test_unique_dim_cpu
2025-09-07T06:29:02.4024830Z 
2025-09-07T06:29:02.4024980Z Running test_cpp_extensions_jit 1/1 ... [2025-09-07 06:29:02.397987]
2025-09-07T06:29:02.4025250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:29:02.4026000Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_cpp_extensions_jit.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:29:02.398260]
2025-09-07T06:30:48.7712830Z 
2025-09-07T06:30:48.7714600Z test_cpp_extensions_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_jit_1.1_6d498f4605e3d42f_.log
2025-09-07T06:30:48.7725880Z Running 34 items in this shard: test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_aoti_torch_call_dispatcher, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_autograd_from_cpp, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_compilation_error_formatting, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_same_output_as_python, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_has_up_to_date_attributes, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cpp_frontend_module_python_inter_op_with_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_arch_flags_non_default_gencode, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_cuda_pluggable_allocator_include, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_compound_op_autograd, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_custom_functorch_error, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_gen_extension_h_pch, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_half_support, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_custom_op_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_cuda, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_multiple_sources_and_no_functions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_throws_when_functions_is_bad, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_dict, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_with_functions_as_list, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_inline_jit_compile_extension_xpu, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_compile_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_archflags, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cuda_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_cudnn_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_archlists, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_jit_xpu_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_lenient_flag_handling_in_jit_extensions, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_load_with_non_platform_default_encoding, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_mps_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_reload_jit_extension, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_returns_shared_library_path_when_is_python_module_is_true, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_set_default_type_also_changes_aten_default_type, test/test_cpp_extensions_jit.py::TestCppExtensionJIT::test_warning
2025-09-07T06:30:48.7736610Z 
2025-09-07T06:30:48.7736770Z Running test_native_mha 1/1 ... [2025-09-07 06:30:48.771730]
2025-09-07T06:30:48.7737130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:30:48.7738120Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_native_mha.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:30:48.772065]
2025-09-07T06:30:50.6888080Z 
2025-09-07T06:30:50.6888780Z test_native_mha 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_native_mha_1.1_6778d8222ce89cc0_.log
2025-09-07T06:30:50.6906180Z Running 28 items in this shard: test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_encoder_decoder_attention_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_False_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_False_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_False_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_False_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_False_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_native_multihead_self_attention_use_nt_True_use_padding_True_pad_all_True_need_weights_False_average_attn_weights_True_fused_True_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_cpu_float32, test/test_native_mha.py::TestMHADeviceTypeCPU::test_transform_bias_rescale_qkv_nested_cpu_float32
2025-09-07T06:30:50.6922860Z 
2025-09-07T06:30:50.6923040Z Running test_cuda_primary_ctx 1/1 ... [2025-09-07 06:30:50.689239]
2025-09-07T06:30:50.6923400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:30:50.6924460Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_cuda_primary_ctx.py', '--shard-id=1', '--num-shards=1', '-v', '--subprocess', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:30:50.689600]
2025-09-07T06:30:52.3882560Z 
2025-09-07T06:30:52.3883200Z test_cuda_primary_ctx 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_primary_ctx_1.1_ce5aba3b6a46fb0c_.log
2025-09-07T06:30:52.3883700Z Running 0 items in this shard:
2025-09-07T06:30:52.3883820Z 
2025-09-07T06:30:52.3885840Z Running test_nn 1/1 ... [2025-09-07 06:30:52.388544]
2025-09-07T06:30:52.3886080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:30:52.3889140Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_nn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:30:52.388809]
2025-09-07T06:32:47.8117300Z 
2025-09-07T06:32:47.8117770Z test_nn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_nn_1.1_83f57ab0076a5e6c_.log
2025-09-07T06:32:47.9316750Z Running 3436 items in this shard: test/test_nn.py::TestNN::test_AdaptiveLogSoftmax, test/test_nn.py::TestNN::test_AdaptiveLogSoftmax_cuda, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCELoss_no_reduce, test/test_nn.py::TestNN::test_BCELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar, test/test_nn.py::TestNN::test_BCELoss_weights_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_legacy_enum_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_BCEWithLogitsLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_CELU_no_batch_dim, test/test_nn.py::TestNN::test_CELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_CTCLoss_critical_target_len, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cpu, test/test_nn.py::TestNN::test_CTCLoss_lengthchecks_cuda, test/test_nn.py::TestNN::test_CTCLoss_long_targets, test/test_nn.py::TestNN::test_CTCLoss_typechecks, test/test_nn.py::TestNN::test_CTCLoss_zero_infinity, test/test_nn.py::TestNN::test_CTCLoss_zero_lengths, test/test_nn.py::TestNN::test_Conv1d, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_cuda, test/test_nn.py::TestNN::test_Conv1d_dilated, test/test_nn.py::TestNN::test_Conv1d_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_groups, test/test_nn.py::TestNN::test_Conv1d_groups_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1, test/test_nn.py::TestNN::test_Conv1d_pad1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad1size1, test/test_nn.py::TestNN::test_Conv1d_pad1size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2, test/test_nn.py::TestNN::test_Conv1d_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad2size1, test/test_nn.py::TestNN::test_Conv1d_pad2size1_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same, test/test_nn.py::TestNN::test_Conv1d_pad_same2, test/test_nn.py::TestNN::test_Conv1d_pad_same2_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv1d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv1d_pad_valid, test/test_nn.py::TestNN::test_Conv1d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv1d_stride, test/test_nn.py::TestNN::test_Conv1d_stride_cuda, test/test_nn.py::TestNN::test_Conv1d_zero_batch, test/test_nn.py::TestNN::test_Conv1d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv1d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise, test/test_nn.py::TestNN::test_Conv2d_depthwise_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated, test/test_nn.py::TestNN::test_Conv2d_depthwise_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded, test/test_nn.py::TestNN::test_Conv2d_depthwise_padded_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided, test/test_nn.py::TestNN::test_Conv2d_depthwise_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier, test/test_nn.py::TestNN::test_Conv2d_depthwise_with_multiplier_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated, test/test_nn.py::TestNN::test_Conv2d_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups, test/test_nn.py::TestNN::test_Conv2d_groups_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_thnn_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias, test/test_nn.py::TestNN::test_Conv2d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same, test/test_nn.py::TestNN::test_Conv2d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv2d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv2d_pad_valid, test/test_nn.py::TestNN::test_Conv2d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv2d_padding, test/test_nn.py::TestNN::test_Conv2d_padding_cuda, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_reflect_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv2d_strided, test/test_nn.py::TestNN::test_Conv2d_strided_cuda, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_strided_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch, test/test_nn.py::TestNN::test_Conv2d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv2d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv2d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_1x1x1_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_circular_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated, test/test_nn.py::TestNN::test_Conv3d_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_dilated_strided, test/test_nn.py::TestNN::test_Conv3d_dilated_strided_cuda, test/test_nn.py::TestNN::test_Conv3d_groups, test/test_nn.py::TestNN::test_Conv3d_groups_cuda, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias, test/test_nn.py::TestNN::test_Conv3d_no_bias_cuda, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same, test/test_nn.py::TestNN::test_Conv3d_pad_same_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated, test/test_nn.py::TestNN::test_Conv3d_pad_same_dilated_cuda, test/test_nn.py::TestNN::test_Conv3d_pad_valid, test/test_nn.py::TestNN::test_Conv3d_pad_valid_cuda, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_replicate_stride2_pad2_cuda, test/test_nn.py::TestNN::test_Conv3d_stride, test/test_nn.py::TestNN::test_Conv3d_stride_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding, test/test_nn.py::TestNN::test_Conv3d_stride_padding_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_padding_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_stride_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch, test/test_nn.py::TestNN::test_Conv3d_zero_batch_cuda, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor, test/test_nn.py::TestNN::test_Conv3d_zero_batch_with_long_tensor_cuda, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2, test/test_nn.py::TestNN::test_Conv3d_zeros_stride2_pad2_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d, test/test_nn.py::TestNN::test_ConvTranspose1d_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated, test/test_nn.py::TestNN::test_ConvTranspose1d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_groups, test/test_nn.py::TestNN::test_ConvTranspose1d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose1d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d, test/test_nn.py::TestNN::test_ConvTranspose2d_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_dilated_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_groups_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_no_bias_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor, test/test_nn.py::TestNN::test_ConvTranspose2d_with_long_tensor_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d, test/test_nn.py::TestNN::test_ConvTranspose3d_cuda, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated, test/test_nn.py::TestNN::test_ConvTranspose3d_dilated_cuda, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_CosineEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_CrossMapLRN2d, test/test_nn.py::TestNN::test_CrossMapLRN2d_cuda, test/test_nn.py::TestNN::test_ELU_no_batch_dim, test/test_nn.py::TestNN::test_ELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Embedding, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous, test/test_nn.py::TestNN::test_EmbeddingBag_discontiguous_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max, test/test_nn.py::TestNN::test_EmbeddingBag_max_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_max_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean, test/test_nn.py::TestNN::test_EmbeddingBag_mean_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_mean_padding_idx_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sparse, test/test_nn.py::TestNN::test_EmbeddingBag_sparse_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum, test/test_nn.py::TestNN::test_EmbeddingBag_sum_cuda, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx, test/test_nn.py::TestNN::test_EmbeddingBag_sum_padding_idx_cuda, test/test_nn.py::TestNN::test_Embedding_cuda, test/test_nn.py::TestNN::test_Embedding_discontiguous, test/test_nn.py::TestNN::test_Embedding_discontiguous_cuda, test/test_nn.py::TestNN::test_Embedding_sparse, test/test_nn.py::TestNN::test_Embedding_sparse_cuda, test/test_nn.py::TestNN::test_Flatten, test/test_nn.py::TestNN::test_Flatten_cuda, test/test_nn.py::TestNN::test_Flatten_no_batch_dim, test/test_nn.py::TestNN::test_Flatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Fold, test/test_nn.py::TestNN::test_Fold_cuda, test/test_nn.py::TestNN::test_Fold_int_input, test/test_nn.py::TestNN::test_Fold_int_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_input_cuda, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input, test/test_nn.py::TestNN::test_Fold_no_batch_dim_int_input_cuda, test/test_nn.py::TestNN::test_GELU_no_batch_dim, test/test_nn.py::TestNN::test_GELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_GLU_no_batch_dim, test/test_nn.py::TestNN::test_GLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim, test/test_nn.py::TestNN::test_Hardshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Hardsigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim, test/test_nn.py::TestNN::test_Hardswish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim, test/test_nn.py::TestNN::test_Hardtanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce, test/test_nn.py::TestNN::test_HingeEmbeddingLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_HuberLoss_delta, test/test_nn.py::TestNN::test_HuberLoss_delta_cuda, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_HuberLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean, test/test_nn.py::TestNN::test_KLDivLoss_batch_mean_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_KLDivLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target, test/test_nn.py::TestNN::test_KLDivLoss_no_reduce_scalar_log_target_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_log_target_no_reduce_cuda, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce, test/test_nn.py::TestNN::test_KLDivLoss_with_target_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_L1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_L1Loss_no_reduce, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex, test/test_nn.py::TestNN::test_L1Loss_no_reduce_complex_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_L1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_LSTM_cell, test/test_nn.py::TestNN::test_LSTM_cell_forward_hidden_size, test/test_nn.py::TestNN::test_LSTM_cell_forward_input_size, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_cuda, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval, test/test_nn.py::TestNN::test_LayerNorm_3d_no_affine_large_feature_eval_cuda, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim, test/test_nn.py::TestNN::test_LeakyReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear, test/test_nn.py::TestNN::test_Linear_cuda, test/test_nn.py::TestNN::test_Linear_no_batch_dim, test/test_nn.py::TestNN::test_Linear_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Linear_no_bias, test/test_nn.py::TestNN::test_Linear_no_bias_cuda, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim, test/test_nn.py::TestNN::test_LogSigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MSELoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MSELoss_no_reduce, test/test_nn.py::TestNN::test_MSELoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar, test/test_nn.py::TestNN::test_MSELoss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MarginRankingLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MaxUnpool1d_net, test/test_nn.py::TestNN::test_MaxUnpool1d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool1d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net, test/test_nn.py::TestNN::test_MaxUnpool2d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool2d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net, test/test_nn.py::TestNN::test_MaxUnpool3d_net_cuda, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim, test/test_nn.py::TestNN::test_MaxUnpool3d_net_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Mish_no_batch_dim, test/test_nn.py::TestNN::test_Mish_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ModuleDict, test/test_nn.py::TestNN::test_ModuleList, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_0d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_index_neg_cuda, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiLabelSoftMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_1d_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_margin_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_p_no_reduce_cuda, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce, test/test_nn.py::TestNN::test_MultiMarginLoss_weights_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss2d_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLossNd_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_NLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_NLLLoss_no_reduce, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_cuda, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_nn.py::TestNN::test_NLLLoss_no_reduce_weights_ignore_index_neg_cuda, test/test_nn.py::TestNN::test_PReLU_backward_requires_grad_false, test/test_nn.py::TestNN::test_PReLU_no_batch_dim, test/test_nn.py::TestNN::test_PReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_lhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs, test/test_nn.py::TestNN::test_PairwiseDistance_broadcast_rhs_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim, test/test_nn.py::TestNN::test_PairwiseDistance_no_batch_dim_cuda, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args, test/test_nn.py::TestNN::test_PairwiseDistance_with_non_default_args_cuda, test/test_nn.py::TestNN::test_ParameterDict, test/test_nn.py::TestNN::test_ParameterDict_replication, test/test_nn.py::TestNN::test_ParameterList, test/test_nn.py::TestNN::test_ParameterList_meta, test/test_nn.py::TestNN::test_ParameterList_replication, test/test_nn.py::TestNN::test_PixelShuffle, test/test_nn.py::TestNN::test_PixelShuffle_cuda, test/test_nn.py::TestNN::test_PixelUnshuffle, test/test_nn.py::TestNN::test_PixelUnshuffle_cuda, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce, test/test_nn.py::TestNN::test_PoissonNLLLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_RNN_cell, test/test_nn.py::TestNN::test_RNN_cell_forward_zero_hidden_size, test/test_nn.py::TestNN::test_RNN_cell_no_broadcasting, test/test_nn.py::TestNN::test_RNN_change_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_no_dropout, test/test_nn.py::TestNN::test_RNN_cpu_vs_cudnn_with_dropout, test/test_nn.py::TestNN::test_RNN_cudnn_weight_norm, test/test_nn.py::TestNN::test_RNN_dropout, test/test_nn.py::TestNN::test_RNN_dropout_state, test/test_nn.py::TestNN::test_RNN_input_size_zero, test/test_nn.py::TestNN::test_RNN_nonlinearity, test/test_nn.py::TestNN::test_RNN_nonlinearity_passed_as_arg, test/test_nn.py::TestNN::test_RReLU, test/test_nn.py::TestNN::test_RReLU_cuda, test/test_nn.py::TestNN::test_RReLU_no_batch_dim, test/test_nn.py::TestNN::test_RReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down, test/test_nn.py::TestNN::test_RReLU_with_up_down_cuda, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar, test/test_nn.py::TestNN::test_RReLU_with_up_down_scalar_cuda, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim, test/test_nn.py::TestNN::test_ReLU6_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReLU_no_batch_dim, test/test_nn.py::TestNN::test_ReLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d, test/test_nn.py::TestNN::test_ReplicationPad3d_complex, test/test_nn.py::TestNN::test_ReplicationPad3d_complex_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_cuda, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim, test/test_nn.py::TestNN::test_ReplicationPad3d_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SELU_no_batch_dim, test/test_nn.py::TestNN::test_SELU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sequential_add, test/test_nn.py::TestNN::test_Sequential_append, test/test_nn.py::TestNN::test_Sequential_delitem, test/test_nn.py::TestNN::test_Sequential_extend, test/test_nn.py::TestNN::test_Sequential_getitem, test/test_nn.py::TestNN::test_Sequential_iadd, test/test_nn.py::TestNN::test_Sequential_imul, test/test_nn.py::TestNN::test_Sequential_insert, test/test_nn.py::TestNN::test_Sequential_insert_fail_case, test/test_nn.py::TestNN::test_Sequential_mul, test/test_nn.py::TestNN::test_Sequential_pop, test/test_nn.py::TestNN::test_Sequential_rmul, test/test_nn.py::TestNN::test_Sequential_setitem, test/test_nn.py::TestNN::test_Sequential_setitem_named, test/test_nn.py::TestNN::test_SiLU_no_batch_dim, test/test_nn.py::TestNN::test_SiLU_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim, test/test_nn.py::TestNN::test_Sigmoid_no_batch_dim_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_beta_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SmoothL1Loss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar, test/test_nn.py::TestNN::test_SmoothL1Loss_no_reduce_scalar_cuda, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta, test/test_nn.py::TestNN::test_SmoothL1Loss_zero_beta_cuda, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_SoftMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce, test/test_nn.py::TestNN::test_SoftMarginLoss_no_reduce_cuda, test/test_nn.py::TestNN::test_Softplus_no_batch_dim, test/test_nn.py::TestNN::test_Softplus_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim, test/test_nn.py::TestNN::test_Softshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Softsign_no_batch_dim, test/test_nn.py::TestNN::test_Softsign_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanh_no_batch_dim, test/test_nn.py::TestNN::test_Tanh_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim, test/test_nn.py::TestNN::test_Tanhshrink_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Threshold_no_batch_dim, test/test_nn.py::TestNN::test_Threshold_no_batch_dim_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerDecoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_gelu_activation_cuda, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation, test/test_nn.py::TestNN::test_TransformerEncoderLayer_relu_activation_cuda, test/test_nn.py::TestNN::test_Transformer_cell, test/test_nn.py::TestNN::test_Transformer_multilayer_coder, test/test_nn.py::TestNN::test_Transformer_multilayer_coder_cuda, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_mean_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_none_cuda_half, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_double, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_float, test/test_nn.py::TestNN::test_TripletMarginLoss_no_batch_dim_sum_cuda_half, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim, test/test_nn.py::TestNN::test_Unflatten_no_batch_dim_cuda, test/test_nn.py::TestNN::test_Unfold, test/test_nn.py::TestNN::test_Unfold_cuda, test/test_nn.py::TestNN::test_Unfold_int_input, test/test_nn.py::TestNN::test_Unfold_int_input_cuda, test/test_nn.py::TestNN::test_adaptive_log_softmax, test/test_nn.py::TestNN::test_add_module, test/test_nn.py::TestNN::test_add_module_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_affine_grid, test/test_nn.py::TestNN::test_affine_grid_3d, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_2, test/test_nn.py::TestNN::test_affine_grid_backward_cl_cf_consistency_device_cpu_nd_3, test/test_nn.py::TestNN::test_affine_grid_error_checking, test/test_nn.py::TestNN::test_assignment, test/test_nn.py::TestNN::test_batch_norm_update_stats, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_2D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_inference_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_cpu_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_float32, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_bfloat16, test/test_nn.py::TestNN::test_batchnorm_3D_train_NCHW_vs_native_mixed_float16, test/test_nn.py::TestNN::test_batchnorm_buffer_update_when_stats_are_not_tracked, test/test_nn.py::TestNN::test_batchnorm_cudnn_half, test/test_nn.py::TestNN::test_batchnorm_cudnn_nhwc, test/test_nn.py::TestNN::test_batchnorm_half_overflow, test/test_nn.py::TestNN::test_batchnorm_load_state_dict, test/test_nn.py::TestNN::test_batchnorm_nhwc_cpu, test/test_nn.py::TestNN::test_batchnorm_nhwc_cuda, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_BatchNorm2d, test/test_nn.py::TestNN::test_batchnorm_non_contig_cpu_SyncBatchNorm, test/test_nn.py::TestNN::test_batchnorm_nonaffine_cuda_half_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_bias_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_less_than_one_value_per_channel, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_mean_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_is_not_same_size_as_input, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_running_var_or_running_mean_have_forward_grad, test/test_nn.py::TestNN::test_batchnorm_raises_error_if_weight_is_not_same_size_as_input, test/test_nn.py::TestNN::test_bce_loss_always_nonnegative, test/test_nn.py::TestNN::test_bce_loss_broadcasts_weights, test/test_nn.py::TestNN::test_bce_loss_input_range, test/test_nn.py::TestNN::test_bce_loss_size_mismatch, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_pos_weights, test/test_nn.py::TestNN::test_bce_with_logits_broadcasts_weights, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss, test/test_nn.py::TestNN::test_bce_with_logits_gives_same_result_as_sigmoid_and_bce_loss_large_tensors_with_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_forward_grad, test/test_nn.py::TestNN::test_bce_with_logits_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bce_with_logits_ones_in_pos_weights_are_the_same_as_none, test/test_nn.py::TestNN::test_bce_with_logits_raises_if_target_and_input_are_different_size, test/test_nn.py::TestNN::test_bce_with_logits_stability, test/test_nn.py::TestNN::test_bce_with_logits_with_pos_weight_has_correct_grad_at_zero, test/test_nn.py::TestNN::test_bilinear, test/test_nn.py::TestNN::test_bilinear_broadcasting, test/test_nn.py::TestNN::test_bilinear_no_bias, test/test_nn.py::TestNN::test_bilinear_non_contiguous, test/test_nn.py::TestNN::test_bilinear_value_error, test/test_nn.py::TestNN::test_broadcast_double_backwards_gpu, test/test_nn.py::TestNN::test_broadcast_no_grad, test/test_nn.py::TestNN::test_broadcast_not_requiring_grad, test/test_nn.py::TestNN::test_buffer_bad_module_subclass, test/test_nn.py::TestNN::test_buffer_not_persistent, test/test_nn.py::TestNN::test_buffer_not_persistent_assign, test/test_nn.py::TestNN::test_buffer_not_persistent_del, test/test_nn.py::TestNN::test_buffer_not_persistent_load, test/test_nn.py::TestNN::test_buffer_not_persistent_overwrite, test/test_nn.py::TestNN::test_buffers_and_named_buffers, test/test_nn.py::TestNN::test_call_supports_python_dict_output, test/test_nn.py::TestNN::test_channel_shuffle_input_checks, test/test_nn.py::TestNN::test_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_children, test/test_nn.py::TestNN::test_container_copy, test/test_nn.py::TestNN::test_convert_sync_batchnorm, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_diff_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_error_on_nonexpandable_shapes, test/test_nn.py::TestNN::test_cosine_embedding_loss_invalid_shape, test/test_nn.py::TestNN::test_cosine_embedding_loss_margin_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_no_reduce, test/test_nn.py::TestNN::test_cosine_embedding_loss_with_diff_type, test/test_nn.py::TestNN::test_cosine_similarity, test/test_nn.py::TestNN::test_cross_entropy_loss, test/test_nn.py::TestNN::test_cross_entropy_loss_precision, test/test_nn.py::TestNN::test_cross_entropy_loss_zero_div, test/test_nn.py::TestNN::test_cudnn_forward_exception, test/test_nn.py::TestNN::test_cudnn_rnn_dropout_states_device, test/test_nn.py::TestNN::test_cudnn_weight_format, test/test_nn.py::TestNN::test_cudnn_weight_tying, test/test_nn.py::TestNN::test_dir, test/test_nn.py::TestNN::test_dir_digit, test/test_nn.py::TestNN::test_elu_inplace_gradgrad, test/test_nn.py::TestNN::test_elu_inplace_on_view, test/test_nn.py::TestNN::test_error_RNN_seq_len_zero, test/test_nn.py::TestNN::test_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_get_extra_state, test/test_nn.py::TestNN::test_extra_state_missing_set_extra_state, test/test_nn.py::TestNN::test_extra_state_non_dict, test/test_nn.py::TestNN::test_fb_fc_packed, test/test_nn.py::TestNN::test_flatten, test/test_nn.py::TestNN::test_fold_invalid_arg, test/test_nn.py::TestNN::test_fractional_max_pool2d_invalid_output_ratio, test/test_nn.py::TestNN::test_gaussian_nll_loss_args, test/test_nn.py::TestNN::test_gaussian_nll_loss_broadcasting, test/test_nn.py::TestNN::test_gaussian_nll_loss_scalar_var, test/test_nn.py::TestNN::test_get_buffer, test/test_nn.py::TestNN::test_get_buffer_from_submodules, test/test_nn.py::TestNN::test_getattr_with_property, test/test_nn.py::TestNN::test_grid_sample, test/test_nn.py::TestNN::test_grid_sample_3d, test/test_nn.py::TestNN::test_grid_sample_error_checking, test/test_nn.py::TestNN::test_grid_sample_nearest_neighbor_rounding_mode_consistency, test/test_nn.py::TestNN::test_hardtanh_backward, test/test_nn.py::TestNN::test_hardtanh_inplace_gradgrad, test/test_nn.py::TestNN::test_huber_loss_invalid_delta, test/test_nn.py::TestNN::test_inplace_thnn, test/test_nn.py::TestNN::test_interpolate, test/test_nn.py::TestNN::test_interpolate_bicubic_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bicubic_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bicubic_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_bilinear_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_shared_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_scale_tuple_skewed_2d_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_bilinear_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_buffer_overflow, test/test_nn.py::TestNN::test_interpolate_illegal_memory_access, test/test_nn.py::TestNN::test_interpolate_linear_1d, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_linear_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_linear_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d, test/test_nn.py::TestNN::test_interpolate_linear_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d, test/test_nn.py::TestNN::test_interpolate_nearest_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_1d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d, test/test_nn.py::TestNN::test_interpolate_nearest_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs, test/test_nn.py::TestNN::test_interpolate_nearest_2d_launch_configs_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_2d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d, test/test_nn.py::TestNN::test_interpolate_nearest_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_nearest_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d, test/test_nn.py::TestNN::test_interpolate_nearest_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_1d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_2d_cuda, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d, test/test_nn.py::TestNN::test_interpolate_nearest_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim, test/test_nn.py::TestNN::test_interpolate_trilinear_3d_zero_dim_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_scale_3d_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_align_corners_cuda, test/test_nn.py::TestNN::test_interpolate_trilinear_tuple_3d_cuda, test/test_nn.py::TestNN::test_interpolate_undefined_behavior_casting, test/test_nn.py::TestNN::test_kl_div_log_softmax_target, test/test_nn.py::TestNN::test_kl_div_with_diff_type, test/test_nn.py::TestNN::test_kl_div_with_diff_type_log_target, test/test_nn.py::TestNN::test_l1_loss_correct, test/test_nn.py::TestNN::test_layer_norm_backwards_eps, test/test_nn.py::TestNN::test_layer_norm_eps, test/test_nn.py::TestNN::test_layer_norm_grads_with_create_graph_flag, test/test_nn.py::TestNN::test_layer_norm_large_tensor, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_bias_weightStrided, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCOO, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSC, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightCSR, test/test_nn.py::TestNN::test_linear_autograd_device_cpu_nobias_weightStrided, test/test_nn.py::TestNN::test_linear_broadcasting, test/test_nn.py::TestNN::test_linear_raise_on_scalar_input, test/test_nn.py::TestNN::test_log_softmax_dim0, test/test_nn.py::TestNN::test_log_softmax_dim0_cuda, test/test_nn.py::TestNN::test_log_softmax_dim3, test/test_nn.py::TestNN::test_log_softmax_dim3_cuda, test/test_nn.py::TestNN::test_log_softmax_lastdim, test/test_nn.py::TestNN::test_log_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_log_softmax_scalar, test/test_nn.py::TestNN::test_log_softmax_scalar_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial, test/test_nn.py::TestNN::test_log_softmax_spatial_cuda, test/test_nn.py::TestNN::test_log_softmax_spatial_special, test/test_nn.py::TestNN::test_log_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_loss_equal_input_target_shape, test/test_nn.py::TestNN::test_margin_ranking_loss_margin_no_reduce, test/test_nn.py::TestNN::test_margin_ranking_loss_no_reduce, test/test_nn.py::TestNN::test_max_pool1d_invalid_output_size, test/test_nn.py::TestNN::test_module_apply_inplace_op, test/test_nn.py::TestNN::test_module_backcompat, test/test_nn.py::TestNN::test_module_super_init, test/test_nn.py::TestNN::test_module_to_argparse, test/test_nn.py::TestNN::test_modules, test/test_nn.py::TestNN::test_mse_loss_size_warning, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce, test/test_nn.py::TestNN::test_multimarginloss_1d_input_0d_target_no_reduce_cuda, test/test_nn.py::TestNN::test_named_children, test/test_nn.py::TestNN::test_named_modules, test/test_nn.py::TestNN::test_named_parameters_remove_duplicate, test/test_nn.py::TestNN::test_native_channel_shuffle_return_alias_of_self, test/test_nn.py::TestNN::test_nested_tensor_from_mask, test/test_nn.py::TestNN::test_nested_tensor_from_mask_error, test/test_nn.py::TestNN::test_no_grad, test/test_nn.py::TestNN::test_non_leaf_parameters, test/test_nn.py::TestNN::test_normalize, test/test_nn.py::TestNN::test_overwrite_module_params_on_conversion, test/test_nn.py::TestNN::test_pack_sequence_batch_sizes_throw, test/test_nn.py::TestNN::test_pad_scalar_error, test/test_nn.py::TestNN::test_padding_list, test/test_nn.py::TestNN::test_pairwise_distance, test/test_nn.py::TestNN::test_parameter_assignment, test/test_nn.py::TestNN::test_parameterlistdict_pickle, test/test_nn.py::TestNN::test_parameterlistdict_setting_attributes, test/test_nn.py::TestNN::test_parameters_and_named_parameters, test/test_nn.py::TestNN::test_parameters_to_vector, test/test_nn.py::TestNN::test_parse_to, test/test_nn.py::TestNN::test_partial_flat_weights, test/test_nn.py::TestNN::test_pdist, test/test_nn.py::TestNN::test_pdist_cpu_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_cuda_gradgrad_unimplemented, test/test_nn.py::TestNN::test_pdist_empty_col, test/test_nn.py::TestNN::test_pdist_empty_row, test/test_nn.py::TestNN::test_pdist_large, test/test_nn.py::TestNN::test_pdist_zeros, test/test_nn.py::TestNN::test_pickle_module_no_weights_only_warning, test/test_nn.py::TestNN::test_pixel_shuffle_nhwc_cpu, test/test_nn.py::TestNN::test_pixel_shuffle_unshuffle, test/test_nn.py::TestNN::test_pointwise_loss_broadcast, test/test_nn.py::TestNN::test_pointwise_loss_target_grad_none_reduction, test/test_nn.py::TestNN::test_projections_errors_on_gru_and_rnn, test/test_nn.py::TestNN::test_projections_lstm_args_check, test/test_nn.py::TestNN::test_projections_lstm_check_device, test/test_nn.py::TestNN::test_projections_lstm_initial_hidden_state, test/test_nn.py::TestNN::test_register_buffer_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_buffer_allows_tensor_like_object, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_register_buffer_raises_error_if_not_tensor, test/test_nn.py::TestNN::test_register_parameter_allows_overwriting_with_same_name, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_attr_exists, test/test_nn.py::TestNN::test_register_parameter_raises_error_if_name_is_not_string, test/test_nn.py::TestNN::test_relu_inplace_on_view, test/test_nn.py::TestNN::test_repr, test/test_nn.py::TestNN::test_requires_grad_, test/test_nn.py::TestNN::test_rnn_args_check, test/test_nn.py::TestNN::test_rnn_check_device, test/test_nn.py::TestNN::test_rnn_initial_hidden_state, test/test_nn.py::TestNN::test_rnn_weight_norm, test/test_nn.py::TestNN::test_set_submodule, test/test_nn.py::TestNN::test_share_memory, test/test_nn.py::TestNN::test_smoothl1loss_intergral_target, test/test_nn.py::TestNN::test_smoothl1loss_negative_beta_not_supported, test/test_nn.py::TestNN::test_softmax_functional_dim0, test/test_nn.py::TestNN::test_softmax_functional_dim0_cuda, test/test_nn.py::TestNN::test_softmax_functional_dim3, test/test_nn.py::TestNN::test_softmax_functional_dim3_cuda, test/test_nn.py::TestNN::test_softmax_functional_scalar, test/test_nn.py::TestNN::test_softmax_functional_scalar_cuda, test/test_nn.py::TestNN::test_softmax_lastdim, test/test_nn.py::TestNN::test_softmax_lastdim_cuda, test/test_nn.py::TestNN::test_softmax_lastdim_dtype, test/test_nn.py::TestNN::test_softmax_lastdim_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial, test/test_nn.py::TestNN::test_softmax_spatial_cuda, test/test_nn.py::TestNN::test_softmax_spatial_dtype, test/test_nn.py::TestNN::test_softmax_spatial_dtype_cuda, test/test_nn.py::TestNN::test_softmax_spatial_special, test/test_nn.py::TestNN::test_softmax_spatial_special_cuda, test/test_nn.py::TestNN::test_softmin, test/test_nn.py::TestNN::test_spectral_norm, test/test_nn.py::TestNN::test_spectral_norm_dim, test/test_nn.py::TestNN::test_spectral_norm_forward, test/test_nn.py::TestNN::test_spectral_norm_load_state_dict, test/test_nn.py::TestNN::test_spectral_norm_pickle, test/test_nn.py::TestNN::test_state_dict, test/test_nn.py::TestNN::test_swap_module_params_poisons_acc_grad, test/test_nn.py::TestNN::test_sync_batchnorm_accuracy_cuda, test/test_nn.py::TestNN::test_sync_batchnorm_backward_elemt, test/test_nn.py::TestNN::test_threshold_bfloat16_half, test/test_nn.py::TestNN::test_threshold_int, test/test_nn.py::TestNN::test_to, test/test_nn.py::TestNN::test_train_errors_for_invalid_mode, test/test_nn.py::TestNN::test_transformer_args_check, test/test_nn.py::TestNN::test_transformer_layer_args_check, test/test_nn.py::TestNN::test_transformerdecoder, test/test_nn.py::TestNN::test_transformerdecoderlayer, test/test_nn.py::TestNN::test_transformerdecoderlayer_gelu, test/test_nn.py::TestNN::test_triplet_margin_loss, test/test_nn.py::TestNN::test_triplet_margin_loss_no_reduce, test/test_nn.py::TestNN::test_triplet_margin_loss_swap, test/test_nn.py::TestNN::test_triplet_margin_loss_swap_no_reduce, test/test_nn.py::TestNN::test_type, test/test_nn.py::TestNN::test_unflatten, test/test_nn.py::TestNN::test_unflatten_invalid_arg, test/test_nn.py::TestNN::test_unfold_invalid_arg, test/test_nn.py::TestNN::test_upsamplingBilinear2d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingLinear1d, test/test_nn.py::TestNN::test_upsamplingLinear1d_spatial_invariance, test/test_nn.py::TestNN::test_upsamplingTrilinear3d_spatial_invariance, test/test_nn.py::TestNN::test_upsampling_bfloat16, test/test_nn.py::TestNN::test_upsampling_not_recompute_scale_factor, test/test_nn.py::TestNN::test_upsampling_small_scale, test/test_nn.py::TestNN::test_vector_to_parameters, test/test_nn.py::TestNN::test_weight_norm, test/test_nn.py::TestNN::test_weight_norm_pickle, test/test_nn.py::TestNN::test_weighted_huber_loss, test/test_nn.py::TestNN::test_weighted_l1_loss_with_weights, test/test_nn.py::TestNN::test_weighted_mse_loss, test/test_nn.py::TestNN::test_zero_grad, test/test_nn.py::TestFusionEval::test_fuse_module_eval_numerics, test/test_nn.py::TestConstantPadNd::test_constant_pad_nd, test/test_nn.py::TestConstantPadNd::test_preserves_memory_format, test/test_nn.py::TestAddRelu::test_add_relu, test/test_nn.py::TestAddRelu::test_add_relu_broadcasting, test/test_nn.py::TestFunctionalPickle::test_pickle_softsign, test/test_nn.py::TestFusionUtils::test_fuse_conv_bn_requires_grad, test/test_nn.py::TestFusionUtils::test_fuse_linear_bn_requires_grad, test/test_nn.py::TestUtils::test_consume_prefix_in_state_dict_if_present, test/test_nn.py::TestNNDeviceTypeCPU::test_BatchNorm_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_Bilinear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_empty_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GRU_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_memory_format_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_GroupNorm_raises_error_if_one_value_per_group_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm1d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm2d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_InstanceNorm3d_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_differentiable_backward_using_oneDNN_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_LSTM_grad_and_gradgrad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_general_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LayerNorm_numeric_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_LocalResponseNorm_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_race_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_MarginLoss_warnings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad2d_large_deterministic_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_ReflectionPad_fails_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad1d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad2d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad3d_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_ReplicationPad_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerDecoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoderLayer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_TransformerEncoder_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Transformer_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_Unfold_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_activations_bfloat16_half_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_adaptiveavg_pool1d_shmem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate45_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotate90_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_2d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_affine_3d_rotateRandom_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_avg_pool_large_tensor_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_affine_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_eval_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_large_batch_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_simple_average_mixed_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_batchnorm_update_stats_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_channel_shuffle_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_error_if_nonfinite_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_False_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_0_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_1_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_2_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_4_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_foreach_True_norm_type_inf_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_norm_multi_device_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_clip_grad_value_foreach_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_conv_empty_input_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_64bit_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_errors_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_weight_ignore_indices_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_label_smoothing_with_probs_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_2d_out_of_bounds_class_index_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_index_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_one_hot_target_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_all_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_cross_entropy_loss_prob_target_unit_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cpu_length_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_cudnn_tensor_cuda_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_ctc_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_device_mask_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_elu_inplace_with_neg_alpha_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_fold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_glu_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_bfloat16_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_2d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_large_index_3d_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_grid_sample_nan_inf_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_groupnorm_nhwc_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_gumbel_softmax_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_hardsigmoid_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_corner_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_hardswish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_for_single_spatial_element_during_training_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_instancenorm_raises_error_if_less_than_one_value_per_channel_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_invalid_reduction_strings_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_half_precision_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_layernorm_weight_bias_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_neg_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_leaky_relu_inplace_with_zero_slope_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_linear_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_big_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_log_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_logsigmoid_out_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_lstmcell_backward_only_one_output_grad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_TxT_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_devices_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_forward_with_nans_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_grad_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_lowp_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_mask_types_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_masked_softmax_transformer_layout_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mish_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_module_to_empty_non_recursive_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_mse_loss_error_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_1d_input_1d_target_invalid_size_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_all_ignored_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_byte_target_matches_long_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_mean_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_none_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_empty_tensor_reduction_sum_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_target_dim_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_invalid_weights_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_mean_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_none_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_large_tensor_reduction_sum_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_mismatched_batch_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_out_of_bounds_ignore_index_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nll_loss_total_weight_is_zero_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_empty_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nn_scalars_reductions_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_nonlinearity_propagate_nan_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_one_hot_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_overwrite_module_params_on_conversion_cpu_device_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_pad_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_prelu_backward_32bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_replicatepad_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_epsilon_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_rmsnorm_numeric_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_fused_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_rnn_retain_variables_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_save_lstm_compatibility_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_silu_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_skip_init_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smooth_l1_loss_vs_huber_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_smoothl1loss_backward_zero_beta_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_smem_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_grad_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_unaligned_output_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_backward_without_fully_vectorized_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_bfloat16_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_double_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_forward_64bit_indexing_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softmax_results_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softplus_low_threshold_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_softshrink_negative_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_threshold_inplace_overlap_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex128, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_complex64, test/test_nn.py::TestNNDeviceTypeCPU::test_to_complex_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_fast_path_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_transformerencoderlayer_gelu_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_triplet_margin_with_distance_loss_default_parity_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float32_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_float64_cpu_float64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int16_cpu_int16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int32_cpu_int32, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int64_cpu_int64, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_cpu_int8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_cpu_uint8, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBicubic2d_correctness_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingBilinear2d_aa_correctness_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest1d_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_fail_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_launch_rocm_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest2d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_launch_config_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format0_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearest3d_memory_format1_mode_nearest_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact1d_rescale_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_False_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format0_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingTrilinear3d_align_corners_True_memory_format1_cpu, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_bfloat16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsampling_64bit_indexing_channels_last_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_upsamplingnearest2d_backward_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_variable_sequence_cpu_float32, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float16, test/test_nn.py::TestNNDeviceTypeCPU::test_warp_softmax_64bit_indexing_cpu_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_BatchNorm_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_Bilinear_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_cudnn_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_empty_target_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_mean_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_none_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_CTCLoss_no_batch_dim_reduction_sum_use_module_form_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GRU_grad_and_gradgrad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_memory_format_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_numeric_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_GroupNorm_raises_error_if_one_value_per_group_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm1d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm2d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_InstanceNorm3d_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_differentiable_backward_using_oneDNN_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_differentiable_backward_using_oneDNN_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_LSTM_grad_and_gradgrad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_LayerNorm_general_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LayerNorm_numeric_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_LocalResponseNorm_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_empty_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_race_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_race_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_MarginLoss_warnings_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad2d_large_deterministic_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad2d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad3d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_empty_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_ReflectionPad_fails_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad1d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad2d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad3d_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad_empty_mps_complex128, test/test_nn.py::TestNNDeviceTypeMPS::test_ReplicationPad_empty_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerDecoderLayer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerDecoder_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerEncoderLayer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_TransformerEncoder_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_Transformer_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_Unfold_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_half_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_half_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_activations_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_adaptiveavg_pool1d_shmem_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate45_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotate90_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_2d_rotateRandom_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_affine_3d_rotateRandom_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_avg_pool_large_tensor2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_avg_pool_large_tensor_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_affine_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_eval_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_large_batch_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_large_batch_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mixed_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mixed_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_simple_average_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_batchnorm_update_stats_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_channel_shuffle_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_error_if_nonfinite_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_0_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_1_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_4_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_False_norm_type_inf_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_0_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_1_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_2_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_4_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_foreach_True_norm_type_inf_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_multi_device_foreach_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_norm_multi_device_foreach_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_value_foreach_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_clip_grad_value_foreach_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_conv_empty_input_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_64bit_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_consistent_index_target_and_probs_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_errors_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_weight_ignore_indices_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_label_smoothing_with_probs_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_large_tensor_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_2d_out_of_bounds_class_index_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_2d_out_of_bounds_class_index_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_index_target_unit_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_one_hot_target_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_all_reductions_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_mean_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_none_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_no_batch_dim_reduction_sum_weighted_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_cross_entropy_loss_prob_target_unit_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_tensor_cpu_length_cuda_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_cudnn_tensor_cuda_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_error_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_ctc_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_device_mask_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_elu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_elu_inplace_with_neg_alpha_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_fold_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_glu_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_bfloat16_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_half_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_2d_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_2d_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_3d_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_index_3d_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_large_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_nan_inf_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_grid_sample_nan_inf_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_groupnorm_nhwc_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_gumbel_softmax_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_hardsigmoid_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_corner_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_hardswish_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_for_single_spatial_element_during_training_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm1d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm2d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_False_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_False_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_input_channels_is_not_num_features_InstanceNorm3d_no_batch_dim_True_affine_True_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_instancenorm_raises_error_if_less_than_one_value_per_channel_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_invalid_reduction_strings_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_layernorm_half_precision_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_layernorm_weight_bias_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_with_neg_slope_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_leaky_relu_inplace_with_zero_slope_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_linear_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_big_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_log_softmax_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_logsigmoid_out_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_lstmcell_backward_only_one_output_grad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_TxT_layout_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_devices_parity_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_forward_with_nans_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_grad_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_lowp_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_lowp_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_mask_types_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_masked_softmax_transformer_layout_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_mish_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_module_to_empty_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_module_to_empty_non_recursive_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_mse_loss_error_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_1d_input_1d_target_invalid_size_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_all_ignored_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_byte_target_matches_long_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_mean_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_mean_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_none_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_none_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_sum_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_empty_tensor_reduction_sum_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_invalid_target_dim_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_invalid_weights_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_mean_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_none_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_large_tensor_reduction_sum_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_mismatched_batch_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_out_of_bounds_ignore_index_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nll_loss_total_weight_is_zero_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_empty_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_scalars_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nn_scalars_reductions_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_nonlinearity_propagate_nan_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_one_hot_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_overwrite_module_params_on_conversion_cpu_device_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_pad_mps_complex128, test/test_nn.py::TestNNDeviceTypeMPS::test_pad_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_prelu_backward_32bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_replicatepad_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_epsilon_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_epsilon_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_epsilon_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_numeric_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_rmsnorm_numeric_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_fused_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_fused_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_retain_variables_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_rnn_retain_variables_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_save_lstm_compatibility_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_silu_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_skip_init_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smooth_l1_loss_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smooth_l1_loss_vs_huber_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_smoothl1loss_backward_zero_beta_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_64bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_smem_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_unaligned_grad_output_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_unaligned_output_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_backward_without_fully_vectorized_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_bfloat16_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_cpu_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_cpu_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_double_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_forward_64bit_indexing_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_softmax_results_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_softplus_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softplus_low_threshold_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_softshrink_negative_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_threshold_inplace_overlap_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_to_complex_mps_complex64, test/test_nn.py::TestNNDeviceTypeMPS::test_to_complex_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_fast_path_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_gelu_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_transformerencoderlayer_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_triplet_margin_with_distance_loss_default_parity_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_triplet_margin_with_distance_loss_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_False_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format0_align_corners_True_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_False_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_399_output_size_437_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiLinear2d_consistency_interp_size_bug_memory_format1_align_corners_True_input_size_403_output_size_377_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_False_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_False_align_corners_True_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_False_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bicubic_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_antialias_True_align_corners_True_mode_bilinear_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format0_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bicubic_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_False_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_False_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_3_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_32_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_False_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_False_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_restrided_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_consistency_memory_format1_mode_bilinear_antialias_True_align_corners_True_num_channels_5_output_size_600_check_as_unsqueezed_3d_tensor_True_non_contig_sliced_batch_size_5_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_3_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_False_num_channels_5_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest-exact_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_3_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bicubic_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_bilinear_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float32_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_float64_mps_float64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int16_mps_int16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int32_mps_int32, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int64_mps_int64, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest-exact_int8_mps_int8, 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test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_int8_mps_int8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBiMode2d_nonsupported_dtypes_antialias_True_num_channels_5_mode_nearest_uint8_mps_uint8, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBicubic2d_aa_correctness_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBicubic2d_aa_correctness_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBicubic2d_correctness_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBilinear2d_aa_correctness_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingBilinear2d_aa_correctness_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_correctness_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_correctness_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_launch_config_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest1d_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_launch_config_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_launch_fail_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_launch_rocm_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_memory_format0_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_memory_format0_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_memory_format1_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest2d_memory_format1_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_launch_config_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format0_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format0_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format1_mode_nearest-exact_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearest3d_memory_format1_mode_nearest_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_correctness_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_correctness_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact1d_rescale_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact2d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format0_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format0_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format1_isize_10_osize_15_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingNearestExact3d_correctness_memory_format1_isize_20_osize_11_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_False_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_False_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_True_memory_format0_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingTrilinear3d_align_corners_True_memory_format1_mps, test/test_nn.py::TestNNDeviceTypeMPS::test_upsampling_64bit_indexing_channels_last_mps_bfloat16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsampling_64bit_indexing_channels_last_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_upsamplingnearest2d_backward_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_variable_sequence_mps_float32, test/test_nn.py::TestNNDeviceTypeMPS::test_warp_softmax_64bit_indexing_mps_float16, test/test_nn.py::TestNNDeviceTypeMPS::test_warp_softmax_64bit_indexing_mps_float32
2025-09-07T06:32:48.0849270Z 
2025-09-07T06:32:48.0849620Z Running nn/test_pooling 1/1 ... [2025-09-07 06:32:47.814718]
2025-09-07T06:32:48.0850300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:32:48.0852220Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'nn/test_pooling.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:32:47.815016]
2025-09-07T06:33:06.9657330Z 
2025-09-07T06:33:06.9657840Z nn/test_pooling 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_pooling_1.1_593f265afe818d80_.log
2025-09-07T06:33:06.9707290Z Running 198 items in this shard: test/nn/test_pooling.py::TestAvgPool::test_avg_pool1d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool2d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_avg_pool3d_ceil_mode, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool2d_with_divisor, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d, test/nn/test_pooling.py::TestAvgPool::test_doubletensor_avg_pool3d_with_divisor, test/nn/test_pooling.py::TestPoolingNN::test_MaxUnpool2d_output_size, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_nhwc_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_avg_pooling_overflow, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_backward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_launch_config_forward, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_avg_nhwc_non_contiguous, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_lower_precision, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_none, test/nn/test_pooling.py::TestPoolingNN::test_adaptive_pooling_size_overflow, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool2d_nhwc_cpu, test/nn/test_pooling.py::TestPoolingNN::test_max_unpool3d_input_check, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool1d_empty_kernel, test/nn/test_pooling.py::TestPoolingNN::test_quantized_max_pool3d, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_AdaptiveMaxPool2d_indices_cpu_float32, 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test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_FractionalMaxPool3d_zero_samples_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool1d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool2d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool3d_indices_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxPool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case10_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case4_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case5_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case6_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case7_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case8_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_index_errors_case9_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_MaxUnpool_zero_batch_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool2d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pool3d_output_size_one_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_avg_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_max_pooling_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pool_odd_size_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_empty_output_size_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_no_suppot_input_cpu_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_adaptive_pooling_zero_batch_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_avg_pool2d_reduced_floating_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool3d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_fractional_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_corner_cases_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool1d_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_corner_cases_cpu_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_indices_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool2d_with_indices_backward_fails_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool3d_ndhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_bfloat16_half_cpu_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_max_pool_nan_inf_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool3d_non_square_backward_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_maxpool_indices_no_batch_dim_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_large_size_int64_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool3d_size_one_feature_dim_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_invalid_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pool_large_size_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_bfloat16_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_large_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_max_nhwc_cpu_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_avg_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_1_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_2_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_shape_kernel_max_pooling_dims_3_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeCPU::test_pooling_zero_stride_cpu, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AdaptiveMaxPool1d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AdaptiveMaxPool2d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AdaptiveMaxPool3d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AdaptiveMaxPool_zero_batch_dim_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AvgPool2d_empty_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_AvgPool3d_backward_after_cat_dim1_device_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool2d_zero_batch_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool2d_zero_out_size_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool2d_zero_samples_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool3d_errors_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool3d_zero_batch_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool3d_zero_out_size_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_FractionalMaxPool3d_zero_samples_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxPool1d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxPool2d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxPool3d_indices_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxPool_zero_batch_dim_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case10_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case1_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case2_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case3_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case4_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case5_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case6_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case7_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case8_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_index_errors_case9_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_MaxUnpool_zero_batch_dim_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_avg_pool2d_output_size_one_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_avg_pool3d_output_size_one_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_avg_pooling_backward_fails_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_max_pooling_backward_fails_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pool_odd_size_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_empty_output_size_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_empty_output_size_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_max_nhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_int16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_int8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_no_suppot_input_mps_uint8, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_zero_batch_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_adaptive_pooling_zero_batch_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_avg_pool2d_nhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_avg_pool2d_nhwc_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_avg_pool2d_reduced_floating_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_avg_pool2d_reduced_floating_mps_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_fractional_max_pool2d_backward_fails_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_fractional_max_pool2d_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_fractional_max_pool3d_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_fractional_max_pool_nan_inf_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool1d_corner_cases_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool1d_corner_cases_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool1d_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool1d_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_corner_cases_mps_int32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_corner_cases_mps_int64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_indices_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_nhwc_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool2d_with_indices_backward_fails_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool3d_ndhwc_mps_float64, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool_bfloat16_half_mps_bfloat16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool_bfloat16_half_mps_float16, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_max_pool_nan_inf_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_maxpool3d_non_square_backward_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_maxpool_indices_no_batch_dim_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pool3d_large_size_int64_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pool3d_size_one_feature_dim_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pool_invalid_size_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pool_large_size_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_bfloat16_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_large_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_max_nhwc_mps_float32, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_shape_kernel_avg_pooling_dims_1_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_shape_kernel_avg_pooling_dims_2_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_shape_kernel_avg_pooling_dims_3_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_shape_kernel_max_pooling_dims_1_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_shape_kernel_max_pooling_dims_2_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_shape_kernel_max_pooling_dims_3_mps, test/nn/test_pooling.py::TestPoolingNNDeviceTypeMPS::test_pooling_zero_stride_mps
2025-09-07T06:33:06.9753500Z 
2025-09-07T06:33:06.9753660Z Running test_multiprocessing_spawn 1/1 ... [2025-09-07 06:33:06.966182]
2025-09-07T06:33:06.9753960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:33:06.9754720Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_multiprocessing_spawn.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:33:06.966450]
2025-09-07T06:36:06.9850440Z 
2025-09-07T06:36:06.9851370Z test_multiprocessing_spawn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_multiprocessing_spawn_1.1_2f52df9421f48756_.log
2025-09-07T06:36:06.9860060Z Running 31 items in this shard: test/test_multiprocessing_spawn.py::SpawnTest::test_exception_all, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_exception_single, test/test_multiprocessing_spawn.py::SpawnTest::test_first_argument_index, test/test_multiprocessing_spawn.py::SpawnTest::test_signal_raises, test/test_multiprocessing_spawn.py::SpawnTest::test_success, test/test_multiprocessing_spawn.py::SpawnTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::SpawnTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::SpawnTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ForkTest::test_exception_all, test/test_multiprocessing_spawn.py::ForkTest::test_exception_single, test/test_multiprocessing_spawn.py::ForkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ForkTest::test_success, test/test_multiprocessing_spawn.py::ForkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ForkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::ForkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_all, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_exception_single, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_first_argument_index, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_first_then_exception, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_success_non_blocking, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period0, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_exit_grace_period_20, test/test_multiprocessing_spawn.py::ParallelForkServerShouldWorkTest::test_terminate_signal, test/test_multiprocessing_spawn.py::ParallelForkServerPerfTest::test_forkserver_perf, test/test_multiprocessing_spawn.py::ErrorTest::test_errors_pickleable
2025-09-07T06:36:06.9868290Z 
2025-09-07T06:36:06.9868450Z Running nn/test_convolution 1/1 ... [2025-09-07 06:36:06.985433]
2025-09-07T06:36:06.9868770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:36:06.9869700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'nn/test_convolution.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:36:06.985737]
2025-09-07T06:38:09.2165540Z 
2025-09-07T06:38:09.2166110Z nn/test_convolution 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_convolution_1.1_9d81a86a2878f888_.log
2025-09-07T06:38:09.2567190Z Running 1149 items in this shard: test/nn/test_convolution.py::TestConvolutionNN::test_Conv1d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_1x1, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_OneDNN, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_backward_twice, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_groups_nobias_v2, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_with_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_inconsistent_types_on_GPU_without_cudnn, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_missing_argument, test/nn/test_convolution.py::TestConvolutionNN::test_Conv2d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_nobias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_groups_wbias, test/nn/test_convolution.py::TestConvolutionNN::test_Conv3d_module_same_padding, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_half_cublas_gemm, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose2d_output_size_downsample_upsample, test/nn/test_convolution.py::TestConvolutionNN::test_ConvTranspose3d_correct_output_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv1d_issue_120547, test/nn/test_convolution.py::TestConvolutionNN::test_conv2d_discontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_conv3d_issue_120406, test/nn/test_convolution.py::TestConvolutionNN::test_conv_backcompat, test/nn/test_convolution.py::TestConvolutionNN::test_conv_cudnn_memory_layout_dominance, test/nn/test_convolution.py::TestConvolutionNN::test_conv_invalid_groups, test/nn/test_convolution.py::TestConvolutionNN::test_conv_modules_raise_error_on_incorrect_input_size, test/nn/test_convolution.py::TestConvolutionNN::test_conv_padding_mode, test/nn/test_convolution.py::TestConvolutionNN::test_conv_shapecheck, test/nn/test_convolution.py::TestConvolutionNN::test_conv_tbc, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_non_contiguous, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_noncontiguous_weight, test/nn/test_convolution.py::TestConvolutionNN::test_cudnn_not_mutate_stride, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv, test/nn/test_convolution.py::TestConvolutionNN::test_functional_grad_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv1d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv2d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_input, test/nn/test_convolution.py::TestConvolutionNN::test_grad_conv3d_weight, test/nn/test_convolution.py::TestConvolutionNN::test_grouped_conv_cudnn_nhwc_support, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv1d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_invalid_conv3d, test/nn/test_convolution.py::TestConvolutionNN::test_mismatch_shape_conv2d, test/nn/test_convolution.py::TestConvolutionNN::test_nnpack_conv, test/nn/test_convolution.py::TestConvolutionNN::test_permute_conv2d_issue_120211, test/nn/test_convolution.py::TestConvolutionNN::test_thnn_conv_strided_padded_dilated, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_backward_depthwise_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_depthwise_naive_groups_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_1_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_2_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_deterministic_cudnn_dilation_3_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_large_workspace_cpu_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_naive_groups_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv2d_size_1_kernel_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_Conv3d_depthwise_naive_groups_cpu_float16, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transpose_with_output_size_and_no_batch_dim_ConvTranspose3d_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_conv_transposed_large_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv2d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_convert_conv3d_weight_memory_format_cpu, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_add_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_cudnn_convolution_relu_cpu_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeCPU::test_depthwise_conv_64bit_indexing_cpu, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_depthwise_naive_groups_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_1_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_2_mps_complex128, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_deterministic_cudnn_dilation_2_mps_complex64, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_large_workspace_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_large_workspace_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_large_workspace_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_naive_groups_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv2d_size_1_kernel_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv3d_depthwise_naive_groups_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv3d_depthwise_naive_groups_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_Conv3d_depthwise_naive_groups_mps_float64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose2d_large_output_padding_mps_float16, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose2d_large_output_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose2d_size_1_kernel_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_ConvTranspose3d_size_1_kernel_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_contig_wrong_stride_cudnn_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_backward_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_backward_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_mps_complex64, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_same_padding_mps_float32, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv1d_valid_padding_backward_mps_complex64, 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test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_dilated_transposed_has_bias_True_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_False_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_False_strided_True_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_False_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_True_strided_False_contiguous_True_mps, test/nn/test_convolution.py::TestConvolutionNNDeviceTypeMPS::test_conv_backend_slow2d_has_bias_True_strided_True_contiguous_False_mps, 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2025-09-07T06:38:09.2935300Z 
2025-09-07T06:38:09.2935430Z Running test_overrides 1/1 ... [2025-09-07 06:38:09.217920]
2025-09-07T06:38:09.2935680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:38:09.2936380Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_overrides.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:38:09.218230]
2025-09-07T06:38:12.7825420Z 
2025-09-07T06:38:12.7825920Z test_overrides 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_overrides_1.1_20ec192064ee2724_.log
2025-09-07T06:38:12.8106350Z Running 1478 items in this shard: test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_H___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_T___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__backward_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__base___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__cdata___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__grad_fn___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__post_accumulate_grad_hooks___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase__version___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_data___get__, test/test_overrides.py::TestTorchFunctionOverride::test_TensorBase_device___get__, 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test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_shared, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_istft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_item, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kron, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lcm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ldexp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_le_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lerp_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_less_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log10_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log1p_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_and_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_not_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_or_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logical_xor_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logit_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_long, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map2_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_map_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_fill_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_max, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_median, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_min, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mode, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_module_load, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_msort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mtia, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mul_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_multiply_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mv, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_mvlgamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nan_to_num_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ndimension, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ne_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_neg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_negative_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nelement, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nextafter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_nonzero_static, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_norm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_normal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_not_equal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_numpy, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_orgqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ormqr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_outer, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_permute, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pin_memory, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_polygamma_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_positive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_pow_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_prod, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_put_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qr, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_qscheme, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rad2deg_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_random_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reciprocal_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_record_stream, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_refine_names, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_register_post_accumulate_grad_hook, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_relu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_remainder_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rename_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_renorm_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_requires_grad_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_reshape_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resize_as_sparse_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_retain_grad, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_roll, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_round_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_row_indices, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_rsqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_add_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_scatter_reduce_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_set_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sgn_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_share_memory_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_short, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sigmoid_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sign_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sin_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sinh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slice_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_slogdet, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_smm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sort, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_mask, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sparse_resize_and_clear_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sqrt_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_square_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_squeeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sspaddmm, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_std, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_stft, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_offset, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_storage_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sub_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_subtract_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_sum_to_size, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_svd, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapaxes_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_swapdims_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_t_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_take_along_dim, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tan_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tanh_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tensor_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tile, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_dense, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_mkldnn, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_to_sparse, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tolist, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_topk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trace, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_transpose_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_tril_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_triu_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_true_divide_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_trunc_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_type_as, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unbind, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unfold, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_uniform_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsafe_split_with_sizes, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_unsqueeze_, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_untyped_storage, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_values, test/test_overrides.py::TestTorchFunctionOverride::test_Tensor_var, 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test/test_overrides.py::TestTorchFunctionOverride::test_mm_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_pow_rpow, test/test_overrides.py::TestTorchFunctionOverride::test_precedence_semantics, test/test_overrides.py::TestTorchFunctionOverride::test_tensor_subclass_propagation, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_fftshift, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfft2, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_hfftn, test/test_overrides.py::TestTorchFunctionOverride::test_torch__C__fft_fft_ifft, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcdiv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addcmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addmv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_addr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_adjoint, test/test_overrides.py::TestTorchFunctionOverride::test_torch_affine_grid_generator, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alias_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_all, test/test_overrides.py::TestTorchFunctionOverride::test_torch_allclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_amin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_aminmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_angle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_any, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arccosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arcsinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_arctanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argsort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_argwhere, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_as_strided_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_asinh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atan2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_atanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_avg_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_baddbmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_backward_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_elemt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_gather_stats_with_counts, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_batch_norm_update_stats, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bernoulli, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bilinear, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bincount, test/test_overrides.py::TestTorchFunctionOverride::test_torch_binomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_left_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_right_shift, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bitwise_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_broadcast_to, test/test_overrides.py::TestTorchFunctionOverride::test_torch_bucketize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ccol_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ceil, test/test_overrides.py::TestTorchFunctionOverride::test_torch_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cholesky_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_choose_qparams_optimized, test/test_overrides.py::TestTorchFunctionOverride::test_torch_chunk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clamp_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_clone, test/test_overrides.py::TestTorchFunctionOverride::test_torch_col_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_column_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_combinations, test/test_overrides.py::TestTorchFunctionOverride::test_torch_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_concatenate, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conj_physical, test/test_overrides.py::TestTorchFunctionOverride::test_torch_constant_pad_nd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_tbc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_conv_transpose3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_copysign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_corrcoef, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cos, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cosine_similarity, test/test_overrides.py::TestTorchFunctionOverride::test_torch_count_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cov, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cross, test/test_overrides.py::TestTorchFunctionOverride::test_torch_crow_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cummin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumprod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_cumulative_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_deg2rad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dequantize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_det, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach, test/test_overrides.py::TestTorchFunctionOverride::test_torch_detach_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diag_embed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagflat, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diagonal_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_diff, test/test_overrides.py::TestTorchFunctionOverride::test_torch_digamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_dstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_empty_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_eq, test/test_overrides.py::TestTorchFunctionOverride::test_torch_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_erfinv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_exp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expand_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_expm1, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_channel_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fake_quantize_per_tensor_affine, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_fp16_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_int8_weight_fp32_activation, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_linear_quantize_weight, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_gemm_matrix_fp16, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fbgemm_pack_quantized_matrix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_feature_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fix, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flatten, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flip, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fliplr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_flipud, test/test_overrides.py::TestTorchFunctionOverride::test_torch_float_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_floor_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fmod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_frobenius_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_full_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_empty_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_float_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_in_scalar_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_mixed_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_nested_tuple_getitem, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_not_first_in_list, test/test_overrides.py::TestTorchFunctionOverride::test_torch_function_precedence_in_lists, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_atleast_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_block_diag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_broadcast_tensors, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cartesian_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_cdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_chain_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_einsum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_lu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_meshgrid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_split, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_stft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_tensordot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unique_consecutive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_functional_unravel_index, test/test_overrides.py::TestTorchFunctionOverride::test_torch_fused_moving_avg_obs_fake_quant, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gather, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gcd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ge, test/test_overrides.py::TestTorchFunctionOverride::test_torch_geqrf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ger, test/test_overrides.py::TestTorchFunctionOverride::test_torch_get_device, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gradient, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater, test/test_overrides.py::TestTorchFunctionOverride::test_torch_greater_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_grid_sampler_3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_gt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hardshrink, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hash_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_heaviside, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hinge_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogram, test/test_overrides.py::TestTorchFunctionOverride::test_torch_histogramdd, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hsplit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hstack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_hypot, test/test_overrides.py::TestTorchFunctionOverride::test_torch_i0, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_igammac, test/test_overrides.py::TestTorchFunctionOverride::test_torch_imag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_index_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inner, test/test_overrides.py::TestTorchFunctionOverride::test_torch_instance_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_int_repr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_inverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_complex, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_distributed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_floating_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_inference, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_nonzero, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_same_size, test/test_overrides.py::TestTorchFunctionOverride::test_torch_is_signed, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isclose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isfinite, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isin, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isnan, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isneginf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isposinf, test/test_overrides.py::TestTorchFunctionOverride::test_torch_isreal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_istft, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kl_div, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kron, test/test_overrides.py::TestTorchFunctionOverride::test_torch_kthvalue, test/test_overrides.py::TestTorchFunctionOverride::test_torch_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lcm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ldexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_le, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lerp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less, test/test_overrides.py::TestTorchFunctionOverride::test_torch_less_equal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log10, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log1p, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logaddexp2, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logcumsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logdet, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_and, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_not, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_or, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logical_xor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_logsumexp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_lu_unpack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_fill, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_masked_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matmul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_exp, test/test_overrides.py::TestTorchFunctionOverride::test_torch_matrix_power, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_maximum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_median, test/test_overrides.py::TestTorchFunctionOverride::test_torch_min, test/test_overrides.py::TestTorchFunctionOverride::test_torch_minimum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_add_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_convolution_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_depthwise_convolution, test/test_overrides.py::TestTorchFunctionOverride::test_torch_miopen_rnn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mode, test/test_overrides.py::TestTorchFunctionOverride::test_torch_moveaxis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_movedim, test/test_overrides.py::TestTorchFunctionOverride::test_torch_msort, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mul, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multinomial, test/test_overrides.py::TestTorchFunctionOverride::test_torch_multiply, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mv, test/test_overrides.py::TestTorchFunctionOverride::test_torch_mvlgamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nan_to_num, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmean, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanmedian, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nanquantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nansum, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_narrow_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_channel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_group_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_layer_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_native_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ne, test/test_overrides.py::TestTorchFunctionOverride::test_torch_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_negative, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nextafter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional__threshold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_avg_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_adaptive_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_affine_grid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_binary_cross_entropy_with_logits, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_celu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cosine_embedding_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_cross_entropy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_ctc_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_dropout3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_elu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_embedding_bag, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_feature_alpha_dropout, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fold, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_fractional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_gaussian_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_glu, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_leaky_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_local_response_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_log_softmax, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_lp_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_margin_ranking_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool1d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool2d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_pool3d_with_indices, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_max_unpool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mish, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_mse_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_head_attention_forward, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multi_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_multilabel_soft_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_normalize, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_pad, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_relu6, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_nn_functional_selu, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_pairwise_distance, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pdist, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute, test/test_overrides.py::TestTorchFunctionOverride::test_torch_permute_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pinverse, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_shuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pixel_unshuffle, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson, test/test_overrides.py::TestTorchFunctionOverride::test_torch_poisson_nll_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polar, test/test_overrides.py::TestTorchFunctionOverride::test_torch_polygamma, test/test_overrides.py::TestTorchFunctionOverride::test_torch_positive, test/test_overrides.py::TestTorchFunctionOverride::test_torch_pow, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_prod, test/test_overrides.py::TestTorchFunctionOverride::test_torch_put, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_axis, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_scales, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_per_channel_zero_points, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_scale, test/test_overrides.py::TestTorchFunctionOverride::test_torch_q_zero_point, test/test_overrides.py::TestTorchFunctionOverride::test_torch_qr, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantile, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_channel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantize_per_tensor_dynamic, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_batch_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_gru_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_lstm_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool1d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool2d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_max_pool3d, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_quantized_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rad2deg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rand_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randint_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_randn_like, test/test_overrides.py::TestTorchFunctionOverride::test_torch_ravel, test/test_overrides.py::TestTorchFunctionOverride::test_torch_real, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reciprocal, test/test_overrides.py::TestTorchFunctionOverride::test_torch_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_remainder, test/test_overrides.py::TestTorchFunctionOverride::test_torch_renorm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_repeat_interleave, test/test_overrides.py::TestTorchFunctionOverride::test_torch_reshape, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_conj, test/test_overrides.py::TestTorchFunctionOverride::test_torch_resolve_neg, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rms_norm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_relu_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rnn_tanh_cell, test/test_overrides.py::TestTorchFunctionOverride::test_torch_roll, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rot90, test/test_overrides.py::TestTorchFunctionOverride::test_torch_round, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_indices_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_row_stack, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rrelu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsqrt, test/test_overrides.py::TestTorchFunctionOverride::test_torch_rsub, test/test_overrides.py::TestTorchFunctionOverride::test_torch_saddmm, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_add, test/test_overrides.py::TestTorchFunctionOverride::test_torch_scatter_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_searchsorted, test/test_overrides.py::TestTorchFunctionOverride::test_torch_segment_reduce, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_select_scatter, test/test_overrides.py::TestTorchFunctionOverride::test_torch_selu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sgn, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sigmoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sign, test/test_overrides.py::TestTorchFunctionOverride::test_torch_signbit, test/test_overrides.py::TestTorchFunctionOverride::test_torch_sin, 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test/test_overrides.py::TestTorchFunctionOverride::test_torch_topk, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trace, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose, test/test_overrides.py::TestTorchFunctionOverride::test_torch_transpose_copy, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapezoid, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trapz, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triangular_solve, test/test_overrides.py::TestTorchFunctionOverride::test_torch_tril, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triplet_margin_loss, test/test_overrides.py::TestTorchFunctionOverride::test_torch_triu, test/test_overrides.py::TestTorchFunctionOverride::test_torch_true_divide, test/test_overrides.py::TestTorchFunctionOverride::test_torch_trunc, test/test_overrides.py::TestTorchFunctionOverride::test_torch_unbind, 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test/test_overrides.py::TestTorchFunctionMode::test_get_mode_stack, test/test_overrides.py::TestTorchFunctionMode::test_getitem_call, test/test_overrides.py::TestTorchFunctionMode::test_mode_notimplemented_loop, test/test_overrides.py::TestTorchFunctionMode::test_modes_handle_first, test/test_overrides.py::TestTorchFunctionMode::test_modes_return_notimplemented, test/test_overrides.py::TestTorchFunctionMode::test_nested_modes_with_python_has_torch_function, test/test_overrides.py::TestTorchFunctionMode::test_nested_same_mode, test/test_overrides.py::TestTorchFunctionMode::test_nn_parse_to, test/test_overrides.py::TestTorchFunctionMode::test_reentrant_mode_idiom, test/test_overrides.py::TestTorchFunctionMode::test_restacking_with_ancestor, test/test_overrides.py::TestTorchFunctionMode::test_subclass_hash, test/test_overrides.py::TestTorchFunctionMode::test_torch_function_all_disabled_api, test/test_overrides.py::TestTorchFunctionMode::test_with_mode, test/test_overrides.py::TestTorchFunctionMode::test_with_mode_created_separately, test/test_overrides.py::TestTorchFunctionMode::test_with_nested_modes
2025-09-07T06:38:12.8372630Z 
2025-09-07T06:38:12.8372780Z Running test_mobile_optimizer 1/1 ... [2025-09-07 06:38:12.783758]
2025-09-07T06:38:12.8373040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:38:12.8373760Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_mobile_optimizer.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:38:12.784043]
2025-09-07T06:38:14.6568400Z 
2025-09-07T06:38:14.6569030Z test_mobile_optimizer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mobile_optimizer_1.1_642e706c9e59961c_.log
2025-09-07T06:38:14.6571070Z Running 7 items in this shard: test/test_mobile_optimizer.py::TestOptimizer::test_clone_module_with_class, test/test_mobile_optimizer.py::TestOptimizer::test_generate_mobile_module_lints, test/test_mobile_optimizer.py::TestOptimizer::test_hoist_conv_packed_params, test/test_mobile_optimizer.py::TestOptimizer::test_mobilenet_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_optimize_for_mobile, test/test_mobile_optimizer.py::TestOptimizer::test_preserve_bundled_inputs_methods, test/test_mobile_optimizer.py::TestOptimizer::test_quantized_conv_no_asan_failures
2025-09-07T06:38:14.6572510Z 
2025-09-07T06:38:14.6572630Z Running test_spectral_ops 1/1 ... [2025-09-07 06:38:14.657148]
2025-09-07T06:38:14.6572880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:38:14.6575040Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_spectral_ops.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:38:14.657407]
2025-09-07T06:38:19.6391470Z 
2025-09-07T06:38:19.6392080Z test_spectral_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_spectral_ops_1.1_7f166f53edcea3cd_.log
2025-09-07T06:38:19.6459700Z Running 281 items in this shard: test/test_spectral_ops.py::TestFFTCPU::test_batch_istft_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_istft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_definition_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_onesided_cpu, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_real_equiv_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_complex_stft_roundtrip_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex128, test/test_spectral_ops.py::TestFFTCPU::test_cufft_context_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_cufft_plan_cache_cpu_float64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_complex64, test/test_spectral_ops.py::TestFFTCPU::test_empty_fft__refs_fft_fft2_cpu_float32, 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2025-09-07T06:38:19.6519760Z 
2025-09-07T06:38:19.6520030Z Running distributions/test_distributions 1/1 ... [2025-09-07 06:38:19.639708]
2025-09-07T06:38:19.6520370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:38:19.6521200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'distributions/test_distributions.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:38:19.640013]
2025-09-07T06:38:41.1365990Z 
2025-09-07T06:38:41.1366630Z distributions/test_distributions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_distributions_1.1_045a19fa510bd87f_.log
2025-09-07T06:38:41.1427030Z Running 230 items in this shard: test/distributions/test_distributions.py::TestDistributions::test_argmax_relaxed_categorical, test/distributions/test_distributions.py::TestDistributions::test_bernoulli, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_3d, test/distributions/test_distributions.py::TestDistributions::test_bernoulli_enumerate_support, test/distributions/test_distributions.py::TestDistributions::test_beta_log_prob, test/distributions/test_distributions.py::TestDistributions::test_beta_sample, test/distributions/test_distributions.py::TestDistributions::test_beta_shape, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow, test/distributions/test_distributions.py::TestDistributions::test_beta_underflow_gpu, test/distributions/test_distributions.py::TestDistributions::test_binomial, test/distributions/test_distributions.py::TestDistributions::test_binomial_bfloat16, 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test/distributions/test_distributions.py::TestDistributions::test_wishart_stable_with_precision_matrix, test/distributions/test_distributions.py::TestDistributions::test_zero_excluded_binomial, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_alpha, test/distributions/test_distributions.py::TestRsample::test_beta_wrt_beta, test/distributions/test_distributions.py::TestRsample::test_chi2, test/distributions/test_distributions.py::TestRsample::test_dirichlet_multivariate, test/distributions/test_distributions.py::TestRsample::test_dirichlet_on_diagonal, test/distributions/test_distributions.py::TestRsample::test_dirichlet_tangent_field, test/distributions/test_distributions.py::TestRsample::test_gamma, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_beta_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_binomial_shape_vectorized_n, test/distributions/test_distributions.py::TestDistributionShapes::test_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_cauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_chi2_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_continuous_bernoulli_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_dirichlet_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_entropy_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_scalar_param, test/distributions/test_distributions.py::TestDistributionShapes::test_exponential_shape_tensor_param, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gamma_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_geometric_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_gumbel_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_halfcauchy_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_kumaraswamy_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_laplace_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_mean_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_mixture_same_family_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_multinomial_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_normal_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_one_hot_categorical_shape, test/distributions/test_distributions.py::TestDistributionShapes::test_pareto_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_studentT_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_uniform_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_vonmises_shape_tensor_params, test/distributions/test_distributions.py::TestDistributionShapes::test_weibull_scale_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_scalar_params, test/distributions/test_distributions.py::TestDistributionShapes::test_wishart_shape_tensor_params, test/distributions/test_distributions.py::TestKL::test_entropy_exponential_family, test/distributions/test_distributions.py::TestKL::test_entropy_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_edgecases, test/distributions/test_distributions.py::TestKL::test_kl_exponential_family, test/distributions/test_distributions.py::TestKL::test_kl_infinite, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_lowrank_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_monte_carlo, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched, test/distributions/test_distributions.py::TestKL::test_kl_multivariate_normal_batched_broadcasted, test/distributions/test_distributions.py::TestKL::test_kl_shape, test/distributions/test_distributions.py::TestKL::test_kl_transformed, test/distributions/test_distributions.py::TestConstraints::test_params_constraints, test/distributions/test_distributions.py::TestConstraints::test_support_constraints, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_categorical_log_prob_with_logits, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_gradient, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_overflow, test/distributions/test_distributions.py::TestNumericalStability::test_continuous_bernoulli_with_logits_underflow, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob, test/distributions/test_distributions.py::TestNumericalStability::test_multinomial_log_prob_with_logits, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_logits_initialization, test/distributions/test_distributions.py::TestLazyLogitsInitialization::test_lazy_probs_initialization, test/distributions/test_distributions.py::TestAgainstScipy::test_cdf, test/distributions/test_distributions.py::TestAgainstScipy::test_icdf, test/distributions/test_distributions.py::TestAgainstScipy::test_mean, test/distributions/test_distributions.py::TestAgainstScipy::test_variance_stddev, test/distributions/test_distributions.py::TestFunctors::test_cat_event_dim, test/distributions/test_distributions.py::TestFunctors::test_cat_transform, test/distributions/test_distributions.py::TestFunctors::test_cat_transform_non_uniform, test/distributions/test_distributions.py::TestFunctors::test_stack_transform, test/distributions/test_distributions.py::TestValidation::test_invalid, test/distributions/test_distributions.py::TestValidation::test_invalid_log_probs_arg, test/distributions/test_distributions.py::TestValidation::test_valid, test/distributions/test_distributions.py::TestValidation::test_warning_unimplemented_constraints, test/distributions/test_distributions.py::TestJit::test_cdf, test/distributions/test_distributions.py::TestJit::test_entropy, test/distributions/test_distributions.py::TestJit::test_enumerate_support, test/distributions/test_distributions.py::TestJit::test_log_prob, test/distributions/test_distributions.py::TestJit::test_mean, test/distributions/test_distributions.py::TestJit::test_rsample, test/distributions/test_distributions.py::TestJit::test_sample, test/distributions/test_distributions.py::TestJit::test_variance
2025-09-07T06:38:41.1481720Z 
2025-09-07T06:38:41.1481830Z Running doctests 1/1 ... [2025-09-07 06:38:41.137049]
2025-09-07T06:38:41.2378530Z Start doctest_module('/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch')
2025-09-07T06:38:41.2378960Z Listing tests
2025-09-07T06:38:41.2379460Z msg = Cannot scrape callname=Library.fallback in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py line=375.
2025-09-07T06:38:41.2380080Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:41.2380480Z Registers the function implementation as the fallback for the given key.
2025-09-07T06:38:41.2380700Z 
2025-09-07T06:38:41.2380850Z         This function only works for a library with global namespace ("_").
2025-09-07T06:38:41.2381060Z 
2025-09-07T06:38:41.2381110Z         Args:
2025-09-07T06:38:41.2381580Z             fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-09-07T06:38:41.2381910Z                 to register a fallthrough.
2025-09-07T06:38:41.2382260Z             dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-09-07T06:38:41.2382640Z                           the dispatch key that the library was created with.
2025-09-07T06:38:41.2383050Z             with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-09-07T06:38:41.2383550Z                          to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-09-07T06:38:41.2383820Z 
2025-09-07T06:38:41.2383890Z         Example::
2025-09-07T06:38:41.2383990Z 
2025-09-07T06:38:41.2384060Z             >>> my_lib = Library("_", "IMPL")
2025-09-07T06:38:41.2384290Z             >>> def fallback_kernel(op, *args, **kwargs):
2025-09-07T06:38:41.2384680Z             >>>     # Handle all autocast ops generically
2025-09-07T06:38:41.2384880Z             >>>     # ...
2025-09-07T06:38:41.2385120Z             >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-09-07T06:38:41.2385320Z         
2025-09-07T06:38:41.2385760Z Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-09-07T06:38:41.2386190Z 
2025-09-07T06:38:41.2386270Z my_lib.fallback(fallback_kernel, "Autocast")
2025-09-07T06:38:41.2386460Z ^
2025-09-07T06:38:41.2386870Z msg = Cannot scrape callname=register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py line=948.
2025-09-07T06:38:41.2387440Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:41.2387800Z Register a FakeTensor implementation ("fake impl") for this operator.
2025-09-07T06:38:41.2388000Z 
2025-09-07T06:38:41.2388110Z     Also sometimes known as a "meta kernel", "abstract impl".
2025-09-07T06:38:41.2388390Z 
2025-09-07T06:38:41.2388540Z     An "FakeTensor implementation" specifies the behavior of this operator on
2025-09-07T06:38:41.2388890Z     Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-09-07T06:38:41.2389240Z     certain properties (sizes/strides/storage_offset/device), it specifies
2025-09-07T06:38:41.2389620Z     what the properties of the output Tensors are.
2025-09-07T06:38:41.2389780Z 
2025-09-07T06:38:41.2389920Z     The FakeTensor implementation has the same signature as the operator.
2025-09-07T06:38:41.2390250Z     It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-09-07T06:38:41.2390570Z     implementation, assume that all Tensor inputs to the operator are
2025-09-07T06:38:41.2390900Z     regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-09-07T06:38:41.2391210Z     you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-09-07T06:38:41.2391550Z     The FakeTensor implementation must consist of only PyTorch operations
2025-09-07T06:38:41.2391880Z     (and may not directly access the storage or data of any input or
2025-09-07T06:38:41.2392120Z     intermediate Tensors).
2025-09-07T06:38:41.2392230Z 
2025-09-07T06:38:41.2392330Z     This API may be used as a decorator (see examples).
2025-09-07T06:38:41.2392490Z 
2025-09-07T06:38:41.2392580Z     For a detailed guide on custom ops, please see
2025-09-07T06:38:41.2392890Z     https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-09-07T06:38:41.2393090Z 
2025-09-07T06:38:41.2393140Z     Args:
2025-09-07T06:38:41.2393340Z         op_name: Operator name (along with the overload) or OpOverload object.
2025-09-07T06:38:41.2393610Z         func: Fake tensor implementation.
2025-09-07T06:38:41.2393870Z         lib (Optional[Library]): Library to register the fake tensor to.
2025-09-07T06:38:41.2394230Z         allow_override: Flag controlling if we want to override an
2025-09-07T06:38:41.2394530Z                         existing registered fake impl. This is by default off,
2025-09-07T06:38:41.2394830Z                         and will error you're trying to register a fake impl to
2025-09-07T06:38:41.2395110Z                         an operator that already has a fake impl. This also only
2025-09-07T06:38:41.2395390Z                         applies if the custom operator was not created via
2025-09-07T06:38:41.2395670Z                         torch.library.custom_op, as overriding and existing fake
2025-09-07T06:38:41.2395930Z                         impl is already allowed.
2025-09-07T06:38:41.2396060Z 
2025-09-07T06:38:41.2396110Z     Examples:
2025-09-07T06:38:41.2396240Z         >>> import torch
2025-09-07T06:38:41.2396400Z         >>> import numpy as np
2025-09-07T06:38:41.2396570Z         >>> from torch import Tensor
2025-09-07T06:38:41.2396730Z         >>>
2025-09-07T06:38:41.2396920Z         >>> # Example 1: an operator without data-dependent output shape
2025-09-07T06:38:41.2397290Z         >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-09-07T06:38:41.2397630Z         >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-09-07T06:38:41.2397950Z         >>>     raise NotImplementedError("Implementation goes here")
2025-09-07T06:38:41.2398170Z         >>>
2025-09-07T06:38:41.2398350Z         >>> @torch.library.register_fake("mylib::custom_linear")
2025-09-07T06:38:41.2398580Z         >>> def _(x, weight, bias):
2025-09-07T06:38:41.2398760Z         >>>     assert x.dim() == 2
2025-09-07T06:38:41.2398940Z         >>>     assert weight.dim() == 2
2025-09-07T06:38:41.2399130Z         >>>     assert bias.dim() == 1
2025-09-07T06:38:41.2399330Z         >>>     assert x.shape[1] == weight.shape[1]
2025-09-07T06:38:41.2399550Z         >>>     assert weight.shape[0] == bias.shape[0]
2025-09-07T06:38:41.2399780Z         >>>     assert x.device == weight.device
2025-09-07T06:38:41.2399970Z         >>>
2025-09-07T06:38:41.2400100Z         >>>     return (x @ weight.t()) + bias
2025-09-07T06:38:41.2400320Z         >>>
2025-09-07T06:38:41.2400490Z         >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-09-07T06:38:41.2400720Z         >>>     x = torch.randn(2, 3)
2025-09-07T06:38:41.2400900Z         >>>     w = torch.randn(3, 3)
2025-09-07T06:38:41.2401070Z         >>>     b = torch.randn(3)
2025-09-07T06:38:41.2401340Z         >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-09-07T06:38:41.2401550Z         >>>
2025-09-07T06:38:41.2401680Z         >>> assert y.shape == (2, 3)
2025-09-07T06:38:41.2401840Z         >>>
2025-09-07T06:38:41.2402020Z         >>> # Example 2: an operator with data-dependent output shape
2025-09-07T06:38:41.2402330Z         >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-09-07T06:38:41.2402620Z         >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-09-07T06:38:41.2402830Z         >>>     x_np = x.numpy(force=True)
2025-09-07T06:38:41.2403050Z         >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-09-07T06:38:41.2403280Z         >>>     return torch.tensor(res, device=x.device)
2025-09-07T06:38:41.2403470Z         >>>
2025-09-07T06:38:41.2403650Z         >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-09-07T06:38:41.2403870Z         >>> def _(x):
2025-09-07T06:38:41.2404050Z         >>> # Number of nonzero-elements is data-dependent.
2025-09-07T06:38:41.2404300Z         >>> # Since we cannot peek at the data in an fake impl,
2025-09-07T06:38:41.2404560Z         >>> # we use the ctx object to construct a new symint that
2025-09-07T06:38:41.2404800Z         >>> # represents the data-dependent size.
2025-09-07T06:38:41.2405020Z         >>>     ctx = torch.library.get_ctx()
2025-09-07T06:38:41.2405220Z         >>>     nnz = ctx.new_dynamic_size()
2025-09-07T06:38:41.2405410Z         >>>     shape = [nnz, x.dim()]
2025-09-07T06:38:41.2405630Z         >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-09-07T06:38:41.2405880Z         >>>     return result
2025-09-07T06:38:41.2406040Z         >>>
2025-09-07T06:38:41.2406220Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-09-07T06:38:41.2406430Z         >>>
2025-09-07T06:38:41.2406570Z         >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-09-07T06:38:41.2406850Z         >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-09-07T06:38:41.2407130Z         >>> trace.print_readable()
2025-09-07T06:38:41.2407300Z         >>>
2025-09-07T06:38:41.2407510Z         >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-09-07T06:38:41.2407720Z 
2025-09-07T06:38:41.2407760Z     
2025-09-07T06:38:41.2408130Z Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-09-07T06:38:41.2408500Z 
2025-09-07T06:38:41.2408540Z _._ = None
2025-09-07T06:38:41.2408650Z ^
2025-09-07T06:38:41.2409130Z msg = Cannot scrape callname=register_autograd in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py line=1083.
2025-09-07T06:38:41.2409710Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.2410020Z Register a backward formula for this custom op.
2025-09-07T06:38:41.2410180Z 
2025-09-07T06:38:41.2410300Z     In order for an operator to work with autograd, you need to register
2025-09-07T06:38:41.2410550Z     a backward formula:
2025-09-07T06:38:41.2410770Z     1. You must tell us how to compute gradients during the backward pass
2025-09-07T06:38:41.2411030Z     by providing us a "backward" function.
2025-09-07T06:38:41.2411290Z     2. If you need any values from the forward to compute gradients, you can
2025-09-07T06:38:41.2411570Z     use `setup_context` to save values for backward.
2025-09-07T06:38:41.2411730Z 
2025-09-07T06:38:41.2411870Z     ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``:
2025-09-07T06:38:41.2412190Z     - ``grads`` is one or more gradients. The number of gradients matches
2025-09-07T06:38:41.2412500Z     the number of outputs of the operator.
2025-09-07T06:38:41.2412770Z     The ``ctx`` object is `the same ctx object <context_method_mixins>`_ used by
2025-09-07T06:38:41.2413120Z     :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the
2025-09-07T06:38:41.2413430Z     same as :meth:`torch.autograd.Function.backward`.
2025-09-07T06:38:41.2413630Z 
2025-09-07T06:38:41.2413760Z     ``setup_context(ctx, inputs, output)`` runs during the forward pass.
2025-09-07T06:38:41.2414100Z     Please save quantities needed for backward onto the ``ctx`` object via
2025-09-07T06:38:41.2414450Z     either :meth:`torch.autograd.function.FunctionCtx.save_for_backward`
2025-09-07T06:38:41.2414790Z     or assigning them as attributes of ``ctx``. If your custom op has
2025-09-07T06:38:41.2415110Z     kwarg-only arguments, we expect the signature of ``setup_context``
2025-09-07T06:38:41.2415430Z     to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``.
2025-09-07T06:38:41.2415620Z 
2025-09-07T06:38:41.2415750Z     Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is,
2025-09-07T06:38:41.2416090Z     they may not directly access :meth:`torch.Tensor.data_ptr` and they must
2025-09-07T06:38:41.2416440Z     not depend on or mutate global state. If you need a non-traceable backward,
2025-09-07T06:38:41.2416800Z     you can make it a separate custom_op that you call inside ``backward_fn``.
2025-09-07T06:38:41.2417000Z 
2025-09-07T06:38:41.2417140Z     If you need different autograd behavior on different devices, then we
2025-09-07T06:38:41.2417480Z     recommend creating two different custom operators, one for each device
2025-09-07T06:38:41.2417820Z     that needs different behavior, and switching between them at runtime.
2025-09-07T06:38:41.2418020Z 
2025-09-07T06:38:41.2418070Z     Examples:
2025-09-07T06:38:41.2418240Z         >>> import torch
2025-09-07T06:38:41.2418400Z         >>> import numpy as np
2025-09-07T06:38:41.2418570Z         >>> from torch import Tensor
2025-09-07T06:38:41.2418740Z         >>>
2025-09-07T06:38:41.2418940Z         >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=())
2025-09-07T06:38:41.2419200Z         >>> def numpy_sin(x: Tensor) -> Tensor:
2025-09-07T06:38:41.2419400Z         >>>     x_np = x.cpu().numpy()
2025-09-07T06:38:41.2419580Z         >>>     y_np = np.sin(x_np)
2025-09-07T06:38:41.2419810Z         >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-09-07T06:38:41.2420020Z         >>>
2025-09-07T06:38:41.2420180Z         >>> def setup_context(ctx, inputs, output) -> Tensor:
2025-09-07T06:38:41.2420390Z         >>>     x, = inputs
2025-09-07T06:38:41.2426990Z         >>>     ctx.save_for_backward(x)
2025-09-07T06:38:41.2427180Z         >>>
2025-09-07T06:38:41.2427300Z         >>> def backward(ctx, grad):
2025-09-07T06:38:41.2427490Z         >>>     x, = ctx.saved_tensors
2025-09-07T06:38:41.2427850Z         >>>     return grad * x.cos()
2025-09-07T06:38:41.2428020Z         >>>
2025-09-07T06:38:41.2428170Z         >>> torch.library.register_autograd(
2025-09-07T06:38:41.2428420Z         ...     "mylib::numpy_sin", backward, setup_context=setup_context
2025-09-07T06:38:41.2428650Z         ... )
2025-09-07T06:38:41.2428760Z         >>>
2025-09-07T06:38:41.2428900Z         >>> x = torch.randn(3, requires_grad=True)
2025-09-07T06:38:41.2429100Z         >>> y = numpy_sin(x)
2025-09-07T06:38:41.2429320Z         >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-09-07T06:38:41.2429560Z         >>> assert torch.allclose(grad_x, x.cos())
2025-09-07T06:38:41.2429750Z         >>>
2025-09-07T06:38:41.2429890Z         >>> # Example with a keyword-only arg
2025-09-07T06:38:41.2430150Z         >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-09-07T06:38:41.2430440Z         >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor:
2025-09-07T06:38:41.2430660Z         >>>     x_np = x.cpu().numpy()
2025-09-07T06:38:41.2430840Z         >>>     y_np = x_np * val
2025-09-07T06:38:41.2431110Z         >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-09-07T06:38:41.2431310Z         >>>
2025-09-07T06:38:41.2431520Z         >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor:
2025-09-07T06:38:41.2431800Z         >>>     ctx.val = keyword_only_inputs["val"]
2025-09-07T06:38:41.2431990Z         >>>
2025-09-07T06:38:41.2432150Z         >>> def backward(ctx, grad):
2025-09-07T06:38:41.2432330Z         >>>     return grad * ctx.val
2025-09-07T06:38:41.2432500Z         >>>
2025-09-07T06:38:41.2432630Z         >>> torch.library.register_autograd(
2025-09-07T06:38:41.2432880Z         ...     "mylib::numpy_mul", backward, setup_context=setup_context
2025-09-07T06:38:41.2433100Z         ... )
2025-09-07T06:38:41.2433220Z         >>>
2025-09-07T06:38:41.2433350Z         >>> x = torch.randn(3, requires_grad=True)
2025-09-07T06:38:41.2433550Z         >>> y = numpy_mul(x, val=3.14)
2025-09-07T06:38:41.2433780Z         >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-09-07T06:38:41.2434070Z         >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14))
2025-09-07T06:38:41.2434250Z 
2025-09-07T06:38:41.2434290Z     
2025-09-07T06:38:41.2434500Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.3043140Z 
2025-09-07T06:38:41.3043970Z msg = Cannot scrape callname=get_kernel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py line=1482.
2025-09-07T06:38:41.3044590Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:41.3044960Z Returns the computed kernel for a given operator and dispatch key.
2025-09-07T06:38:41.3045160Z 
2025-09-07T06:38:41.3045310Z     This function retrieves the kernel that would be executed for a given
2025-09-07T06:38:41.3045940Z     operator and dispatch key combination. The returned SafeKernelFunction
2025-09-07T06:38:41.3046290Z     can be used to call the kernel in a boxed fashion. The intended use
2025-09-07T06:38:41.3046610Z     case for this function is to retrieve the original kernel for a given
2025-09-07T06:38:41.3046950Z     dispatch key and then register another kernel to the same dispatch key
2025-09-07T06:38:41.3047250Z     that calls into the original kernel for certain cases.
2025-09-07T06:38:41.3047420Z 
2025-09-07T06:38:41.3047460Z     Args:
2025-09-07T06:38:41.3047660Z         op: Operator name (along with the overload) or OpOverload object
2025-09-07T06:38:41.3048070Z             Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-09-07T06:38:41.3048440Z         dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-09-07T06:38:41.3048780Z             Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-09-07T06:38:41.3048970Z 
2025-09-07T06:38:41.3049020Z     Returns:
2025-09-07T06:38:41.3049390Z         torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-09-07T06:38:41.3049660Z             call the kernel.
2025-09-07T06:38:41.3049770Z 
2025-09-07T06:38:41.3049810Z     Raises:
2025-09-07T06:38:41.3049970Z         RuntimeError: If the operator does not exist.
2025-09-07T06:38:41.3050130Z 
2025-09-07T06:38:41.3050170Z     Example:
2025-09-07T06:38:41.3050320Z         >>> # Get the CPU kernel for torch.add
2025-09-07T06:38:41.3050580Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-09-07T06:38:41.3050810Z         >>>
2025-09-07T06:38:41.3050950Z         >>> # You can also use DispatchKey enum
2025-09-07T06:38:41.3051250Z         >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-09-07T06:38:41.3051510Z         >>>
2025-09-07T06:38:41.3051650Z         >>> # Or use an OpOverload directly
2025-09-07T06:38:41.3051920Z         >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-09-07T06:38:41.3052170Z         >>>
2025-09-07T06:38:41.3052370Z         >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-09-07T06:38:41.3052730Z         >>> # Get the original kernel for torch.sin
2025-09-07T06:38:41.3053010Z         >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-09-07T06:38:41.3053260Z         >>>
2025-09-07T06:38:41.3053470Z         >>> # If input has negative values, use original sin, otherwise return zeros
2025-09-07T06:38:41.3053860Z         >>> def conditional_sin_impl(dispatch_keys, x):
2025-09-07T06:38:41.3054070Z         >>>     if (x < 0).any():
2025-09-07T06:38:41.3054300Z         >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-09-07T06:38:41.3054520Z         >>>     else:
2025-09-07T06:38:41.3054680Z         >>>         return torch.zeros_like(x)
2025-09-07T06:38:41.3054860Z         >>>
2025-09-07T06:38:41.3055010Z         >>> lib = torch.library.Library("aten", "IMPL")
2025-09-07T06:38:41.3055320Z         >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-09-07T06:38:41.3055660Z         >>> which needs to be the first argument to ``kernel.call_boxed``
2025-09-07T06:38:41.3055970Z         >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-09-07T06:38:41.3056230Z         >>>
2025-09-07T06:38:41.3056360Z         >>> # Test the conditional behavior
2025-09-07T06:38:41.3056570Z         >>> x_positive = torch.tensor([1.0, 2.0])
2025-09-07T06:38:41.3056780Z         >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-09-07T06:38:41.3056980Z         >>> torch.sin(x_positive)
2025-09-07T06:38:41.3057150Z         tensor([0., 0.])
2025-09-07T06:38:41.3057300Z         >>> torch.sin(x_mixed)
2025-09-07T06:38:41.3057460Z         tensor([-0.8415, 0.9093])
2025-09-07T06:38:41.3057620Z     
2025-09-07T06:38:41.3057970Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-09-07T06:38:41.3058360Z 
2025-09-07T06:38:41.3058480Z which needs to be the first argument to ``kernel.call_boxed``
2025-09-07T06:38:41.3058700Z       ^
2025-09-07T06:38:41.3059120Z msg = Cannot scrape callname=opcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py line=1571.
2025-09-07T06:38:41.3059680Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.3060040Z Given an operator and some sample arguments, tests if the operator is
2025-09-07T06:38:41.3060300Z     registered correctly.
2025-09-07T06:38:41.3060400Z 
2025-09-07T06:38:41.3060530Z     That is, when you use the torch.library/TORCH_LIBRARY APIs to create a
2025-09-07T06:38:41.3060870Z     custom op, you specified metadata (e.g. mutability info) about the custom op
2025-09-07T06:38:41.3061220Z     and these APIs require that the functions you pass them satisfy certain
2025-09-07T06:38:41.3061570Z     properties (e.g. no data pointer access in the fake/meta/abstract kernel)
2025-09-07T06:38:41.3061900Z     ``opcheck`` tests these metadata and properties.
2025-09-07T06:38:41.3062070Z 
2025-09-07T06:38:41.3062130Z     Concretely, we test the following:
2025-09-07T06:38:41.3062270Z 
2025-09-07T06:38:41.3062390Z     - test_schema: If the schema matches the implementation of
2025-09-07T06:38:41.3062700Z       the operator. For example: if the schema specifies a Tensor is mutated,
2025-09-07T06:38:41.3063030Z       then we check the implementation mutates the Tensor. If the schema
2025-09-07T06:38:41.3063340Z       specifies that we return a new Tensor, then we check that the
2025-09-07T06:38:41.3063660Z       implementation returns a new Tensor (instead of an existing one or
2025-09-07T06:38:41.3063920Z       a view of an existing one).
2025-09-07T06:38:41.3064160Z     - test_autograd_registration: If the operator supports training
2025-09-07T06:38:41.3064470Z       (autograd): we check that its autograd formula is registered via
2025-09-07T06:38:41.3064790Z       torch.library.register_autograd or a manual registration to one
2025-09-07T06:38:41.3065140Z       or more DispatchKey::Autograd keys. Any other DispatchKey-based
2025-09-07T06:38:41.3065420Z       registrations may lead to undefined behavior.
2025-09-07T06:38:41.3065680Z     - test_faketensor: If the operator has a FakeTensor kernel
2025-09-07T06:38:41.3065960Z       (and if it is correct). The FakeTensor kernel is necessary (
2025-09-07T06:38:41.3066320Z       but not sufficient) for the operator to work with PyTorch compilation
2025-09-07T06:38:41.3066660Z       APIs (torch.compile/export/FX). We check that a FakeTensor kernel
2025-09-07T06:38:41.3066980Z       (also sometimes known as a meta kernel) was registered for the
2025-09-07T06:38:41.3067280Z       operator and that it is correct. This test takes the result of
2025-09-07T06:38:41.3067590Z       running the operator on real tensors and the result of running
2025-09-07T06:38:41.3067890Z       the operator on FakeTensors and checks that they have the same
2025-09-07T06:38:41.3068170Z       Tensor metadata (sizes/strides/dtype/device/etc).
2025-09-07T06:38:41.3068450Z     - test_aot_dispatch_dynamic: If the operator has correct behavior
2025-09-07T06:38:41.3068760Z       with PyTorch compilation APIs (torch.compile/export/FX).
2025-09-07T06:38:41.3069060Z       This checks that the outputs (and gradients, if applicable) are the
2025-09-07T06:38:41.3069350Z       same under eager-mode PyTorch and torch.compile.
2025-09-07T06:38:41.3069620Z       This test is a superset of ``test_faketensor`` and is an e2e test;
2025-09-07T06:38:41.3069910Z       other things it tests are that the operator supports
2025-09-07T06:38:41.3070210Z       functionalization and that the backward pass (if it exists) also
2025-09-07T06:38:41.3070480Z       supports FakeTensor and functionalization.
2025-09-07T06:38:41.3070630Z 
2025-09-07T06:38:41.3070750Z     For best results, please call ``opcheck`` multiple times with a
2025-09-07T06:38:41.3071080Z     representative set of inputs. If your operator supports
2025-09-07T06:38:41.3071410Z     autograd, please use ``opcheck`` with inputs with ``requires_grad = True``;
2025-09-07T06:38:41.3071760Z     if your operator supports multiple devices (e.g. CPU and CUDA), please
2025-09-07T06:38:41.3072060Z     use ``opcheck`` with inputs on all supported devices.
2025-09-07T06:38:41.3072230Z 
2025-09-07T06:38:41.3072270Z     Args:
2025-09-07T06:38:41.3072450Z         op: The operator. Must either be a function decorated with
2025-09-07T06:38:41.3072760Z             :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket
2025-09-07T06:38:41.3073100Z             found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo)
2025-09-07T06:38:41.3073370Z         args: The args to the operator
2025-09-07T06:38:41.3073560Z         kwargs: The kwargs to the operator
2025-09-07T06:38:41.3073810Z         test_utils: Tests that we should run. Default: all of them.
2025-09-07T06:38:41.3074080Z             Example: ("test_schema", "test_faketensor")
2025-09-07T06:38:41.3074390Z         raise_exception: If we should raise an exception on the first
2025-09-07T06:38:41.3074680Z             error. If False, we will return a dict with information
2025-09-07T06:38:41.3074920Z             on if each test passed or not.
2025-09-07T06:38:41.3075200Z         rtol (Optional[float]): Relative tolerance for floating point comparisons.
2025-09-07T06:38:41.3075500Z             If specified ``atol`` must also be specified.
2025-09-07T06:38:41.3075770Z             If omitted, default values based on the ``dtype`` are selected
2025-09-07T06:38:41.3076070Z             (see the table in :func:`torch.testing.assert_close`).
2025-09-07T06:38:41.3076380Z         atol (Optional[float]): Absolute tolerance for floating point comparisons.
2025-09-07T06:38:41.3076680Z             If specified ``rtol`` must also be specified.
2025-09-07T06:38:41.3076950Z             If omitted, default values based on the ``dtype`` are selected
2025-09-07T06:38:41.3077240Z             (see the table in :func:`torch.testing.assert_close`).
2025-09-07T06:38:41.3077470Z 
2025-09-07T06:38:41.3077520Z     .. warning::
2025-09-07T06:38:41.3077610Z 
2025-09-07T06:38:41.3077750Z         opcheck and :func:`torch.autograd.gradcheck` test different things;
2025-09-07T06:38:41.3078070Z         opcheck tests if your usage of torch.library APIs is correct while
2025-09-07T06:38:41.3078400Z         :func:`torch.autograd.gradcheck` tests if your autograd formula is
2025-09-07T06:38:41.3078750Z         mathematically correct. Use both to test custom ops that support
2025-09-07T06:38:41.3079020Z         gradient computation.
2025-09-07T06:38:41.3079140Z 
2025-09-07T06:38:41.3079190Z     Example:
2025-09-07T06:38:41.3079270Z 
2025-09-07T06:38:41.3079350Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-09-07T06:38:41.3079630Z         >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-09-07T06:38:41.3079910Z         >>> def numpy_mul(x: Tensor, y: float) -> Tensor:
2025-09-07T06:38:41.3080130Z         >>>     x_np = x.numpy(force=True)
2025-09-07T06:38:41.3080310Z         >>>     z_np = x_np * y
2025-09-07T06:38:41.3080510Z         >>>     return torch.from_numpy(z_np).to(x.device)
2025-09-07T06:38:41.3080710Z         >>>
2025-09-07T06:38:41.3080840Z         >>> @numpy_mul.register_fake
2025-09-07T06:38:41.3081010Z         >>> def _(x, y):
2025-09-07T06:38:41.3081170Z         >>>     return torch.empty_like(x)
2025-09-07T06:38:41.3081350Z         >>>
2025-09-07T06:38:41.3081490Z         >>> def setup_context(ctx, inputs, output):
2025-09-07T06:38:41.3081680Z         >>>     y, = inputs
2025-09-07T06:38:41.3081830Z         >>>     ctx.y = y
2025-09-07T06:38:41.3081980Z         >>>
2025-09-07T06:38:41.3082110Z         >>> def backward(ctx, grad):
2025-09-07T06:38:41.3082290Z         >>>     return grad * ctx.y, None
2025-09-07T06:38:41.3082460Z         >>>
2025-09-07T06:38:41.3082660Z         >>> numpy_mul.register_autograd(backward, setup_context=setup_context)
2025-09-07T06:38:41.3082940Z         >>>
2025-09-07T06:38:41.3083070Z         >>> sample_inputs = [
2025-09-07T06:38:41.3083240Z         >>>     (torch.randn(3), 3.14),
2025-09-07T06:38:41.3083450Z         >>>     (torch.randn(2, 3, device='cuda'), 2.718),
2025-09-07T06:38:41.3083690Z         >>>     (torch.randn(1, 10, requires_grad=True), 1.234),
2025-09-07T06:38:41.3083970Z         >>>     (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18),
2025-09-07T06:38:41.3084190Z         >>> ]
2025-09-07T06:38:41.3084310Z         >>>
2025-09-07T06:38:41.3084440Z         >>> for args in sample_inputs:
2025-09-07T06:38:41.3084650Z         >>>     torch.library.opcheck(numpy_mul, args)
2025-09-07T06:38:41.3084800Z 
2025-09-07T06:38:41.3084840Z     
2025-09-07T06:38:41.3085060Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.3173560Z 
2025-09-07T06:38:41.3174110Z msg = Cannot scrape callname=Tensor.dim_order in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py line=1493.
2025-09-07T06:38:41.3174830Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.3175070Z 
2025-09-07T06:38:41.3175140Z dim_order(ambiguity_check=False) -> tuple
2025-09-07T06:38:41.3175290Z 
2025-09-07T06:38:41.3175430Z Returns the uniquely determined tuple of int describing the dim order or
2025-09-07T06:38:41.3175710Z physical layout of :attr:`self`.
2025-09-07T06:38:41.3175840Z 
2025-09-07T06:38:41.3176000Z The dim order represents how dimensions are laid out in memory of dense tensors,
2025-09-07T06:38:41.3176340Z starting from the outermost to the innermost dimension.
2025-09-07T06:38:41.3176520Z 
2025-09-07T06:38:41.3176630Z Note that the dim order may not always be uniquely determined.
2025-09-07T06:38:41.3177060Z If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined;
2025-09-07T06:38:41.3177610Z If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted
2025-09-07T06:38:41.3178170Z into exactly one of the given memory formats, or it cannot be uniquely determined.
2025-09-07T06:38:41.3178590Z If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness.
2025-09-07T06:38:41.3178920Z Otherwise, it will raise TypeError.
2025-09-07T06:38:41.3179050Z 
2025-09-07T06:38:41.3179100Z Args:
2025-09-07T06:38:41.3179400Z     ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order.
2025-09-07T06:38:41.3179660Z 
2025-09-07T06:38:41.3179720Z Examples::
2025-09-07T06:38:41.3179790Z 
2025-09-07T06:38:41.3179860Z     >>> torch.empty((2, 3, 5, 7)).dim_order()
2025-09-07T06:38:41.3180030Z     (0, 1, 2, 3)
2025-09-07T06:38:41.3180210Z     >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order()
2025-09-07T06:38:41.3180410Z     (0, 2, 1, 3)
2025-09-07T06:38:41.3180620Z     >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order()
2025-09-07T06:38:41.3180860Z     (0, 2, 3, 1)
2025-09-07T06:38:41.3181010Z     >>> torch.empty((1, 2, 3, 4)).dim_order()
2025-09-07T06:38:41.3181190Z     (0, 1, 2, 3)
2025-09-07T06:38:41.3181310Z     >>> try:
2025-09-07T06:38:41.3181480Z     ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True)
2025-09-07T06:38:41.3181710Z     ... except RuntimeError as e:
2025-09-07T06:38:41.3181880Z     ...     print(e)
2025-09-07T06:38:41.3182160Z     The tensor does not have unique dim order, or cannot map to exact one of the given memory formats.
2025-09-07T06:38:41.3182480Z     >>> torch.empty((1, 2, 3, 4)).dim_order(
2025-09-07T06:38:41.3182750Z     ...     ambiguity_check=[torch.contiguous_format, torch.channels_last]
2025-09-07T06:38:41.3183020Z     ... )  # It can be mapped to contiguous format
2025-09-07T06:38:41.3183210Z     (0, 1, 2, 3)
2025-09-07T06:38:41.3183340Z     >>> try:
2025-09-07T06:38:41.3183560Z     ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL")
2025-09-07T06:38:41.3183810Z     ... except TypeError as e:
2025-09-07T06:38:41.3183970Z     ...     print(e)
2025-09-07T06:38:41.3184200Z     The ambiguity_check argument must be a bool or a list of memory formats.
2025-09-07T06:38:41.3184410Z 
2025-09-07T06:38:41.3184450Z .. warning::
2025-09-07T06:38:41.3184650Z     The dim_order tensor API is experimental and subject to change.
2025-09-07T06:38:41.3184840Z 
2025-09-07T06:38:41.3185000Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.3185220Z 
2025-09-07T06:38:41.3185540Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/hub.py line=565.
2025-09-07T06:38:41.3186080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.3186340Z 
2025-09-07T06:38:41.3186440Z Load a model from a github repo or a local directory.
2025-09-07T06:38:41.3186600Z 
2025-09-07T06:38:41.3186810Z Note: Loading a model is the typical use case, but this can also be used to
2025-09-07T06:38:41.3187150Z for loading other objects such as tokenizers, loss functions, etc.
2025-09-07T06:38:41.3187340Z 
2025-09-07T06:38:41.3187450Z If ``source`` is 'github', ``repo_or_dir`` is expected to be
2025-09-07T06:38:41.3187720Z of the form ``repo_owner/repo_name[:ref]`` with an optional
2025-09-07T06:38:41.3187940Z ref (a tag or a branch).
2025-09-07T06:38:41.3188100Z 
2025-09-07T06:38:41.3188250Z If ``source`` is 'local', ``repo_or_dir`` is expected to be a
2025-09-07T06:38:41.3188490Z path to a local directory.
2025-09-07T06:38:41.3188640Z 
2025-09-07T06:38:41.3188700Z Args:
2025-09-07T06:38:41.3188880Z     repo_or_dir (str): If ``source`` is 'github',
2025-09-07T06:38:41.3189210Z         this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with
2025-09-07T06:38:41.3189690Z         an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified,
2025-09-07T06:38:41.3190130Z         the default branch is assumed to be ``main`` if it exists, and otherwise ``master``.
2025-09-07T06:38:41.3190550Z         If ``source`` is 'local'  then it should be a path to a local directory.
2025-09-07T06:38:41.3190880Z     model (str): the name of a callable (entrypoint) defined in the
2025-09-07T06:38:41.3191140Z         repo/dir's ``hubconf.py``.
2025-09-07T06:38:41.3191400Z     *args (optional): the corresponding args for callable ``model``.
2025-09-07T06:38:41.3191760Z     source (str, optional): 'github' or 'local'. Specifies how
2025-09-07T06:38:41.3192060Z         ``repo_or_dir`` is to be interpreted. Default is 'github'.
2025-09-07T06:38:41.3192430Z     trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
2025-09-07T06:38:41.3192800Z         This parameter was introduced in v1.12 and helps ensuring that users
2025-09-07T06:38:41.3193140Z         only run code from repos that they trust.
2025-09-07T06:38:41.3198280Z 
2025-09-07T06:38:41.3198410Z         - If ``False``, a prompt will ask the user whether the repo should
2025-09-07T06:38:41.3198660Z           be trusted.
2025-09-07T06:38:41.3198880Z         - If ``True``, the repo will be added to the trusted list and loaded
2025-09-07T06:38:41.3199150Z           without requiring explicit confirmation.
2025-09-07T06:38:41.3199410Z         - If ``"check"``, the repo will be checked against the list of
2025-09-07T06:38:41.3199710Z           trusted repos in the cache. If it is not present in that list, the
2025-09-07T06:38:41.3200030Z           behaviour will fall back onto the ``trust_repo=False`` option.
2025-09-07T06:38:41.3200330Z         - If ``None``: this will raise a warning, inviting the user to set
2025-09-07T06:38:41.3200630Z           ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
2025-09-07T06:38:41.3200940Z           is only present for backward compatibility and will be removed in
2025-09-07T06:38:41.3201170Z           v2.0.
2025-09-07T06:38:41.3201250Z 
2025-09-07T06:38:41.3201470Z         Default is ``None`` and will eventually change to ``"check"`` in v2.0.
2025-09-07T06:38:41.3201800Z     force_reload (bool, optional): whether to force a fresh download of
2025-09-07T06:38:41.3202120Z         the github repo unconditionally. Does not have any effect if
2025-09-07T06:38:41.3202380Z         ``source = 'local'``. Default is ``False``.
2025-09-07T06:38:41.3202660Z     verbose (bool, optional): If ``False``, mute messages about hitting
2025-09-07T06:38:41.3202980Z         local caches. Note that the message about first download cannot be
2025-09-07T06:38:41.3203280Z         muted. Does not have any effect if ``source = 'local'``.
2025-09-07T06:38:41.3203510Z         Default is ``True``.
2025-09-07T06:38:41.3203800Z     skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
2025-09-07T06:38:41.3204220Z         specified by the ``github`` argument properly belongs to the repo owner. This will make
2025-09-07T06:38:41.3204670Z         requests to the GitHub API; you can specify a non-default GitHub token by setting the
2025-09-07T06:38:41.3205010Z         ``GITHUB_TOKEN`` environment variable. Default is ``False``.
2025-09-07T06:38:41.3205320Z     **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-09-07T06:38:41.3205520Z 
2025-09-07T06:38:41.3205560Z Returns:
2025-09-07T06:38:41.3205750Z     The output of the ``model`` callable when called with the given
2025-09-07T06:38:41.3205980Z     ``*args`` and ``**kwargs``.
2025-09-07T06:38:41.3206100Z 
2025-09-07T06:38:41.3206150Z Example:
2025-09-07T06:38:41.3206290Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-09-07T06:38:41.3206500Z     >>> # from a github repo
2025-09-07T06:38:41.3206660Z     >>> repo = "pytorch/vision"
2025-09-07T06:38:41.3206830Z     >>> model = torch.hub.load(
2025-09-07T06:38:41.3207050Z     ...     repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1"
2025-09-07T06:38:41.3207280Z     ... )
2025-09-07T06:38:41.3207400Z     >>> # from a local directory
2025-09-07T06:38:41.3207590Z     >>> path = "/some/local/path/pytorch/vision"
2025-09-07T06:38:41.3207820Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:41.3208060Z     >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT")
2025-09-07T06:38:41.3208280Z 
2025-09-07T06:38:41.3208430Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.3208650Z 
2025-09-07T06:38:41.3209250Z msg = Cannot scrape callname=_load_local in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/hub.py line=657.
2025-09-07T06:38:41.3209820Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.3210040Z 
2025-09-07T06:38:41.3210150Z Load a model from a local directory with a ``hubconf.py``.
2025-09-07T06:38:41.3210310Z 
2025-09-07T06:38:41.3210360Z Args:
2025-09-07T06:38:41.3210530Z     hubconf_dir (str): path to a local directory that contains a
2025-09-07T06:38:41.3210770Z         ``hubconf.py``.
2025-09-07T06:38:41.3210970Z     model (str): name of an entrypoint defined in the directory's
2025-09-07T06:38:41.3211200Z         ``hubconf.py``.
2025-09-07T06:38:41.3211420Z     *args (optional): the corresponding args for callable ``model``.
2025-09-07T06:38:41.3211730Z     **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-09-07T06:38:41.3211930Z 
2025-09-07T06:38:41.3211970Z Returns:
2025-09-07T06:38:41.3212140Z     a single model with corresponding pretrained weights.
2025-09-07T06:38:41.3212310Z 
2025-09-07T06:38:41.3212350Z Example:
2025-09-07T06:38:41.3212480Z     >>> # xdoctest: +SKIP("stub local path")
2025-09-07T06:38:41.3212700Z     >>> path = "/some/local/path/pytorch/vision"
2025-09-07T06:38:41.3212890Z     >>> model = _load_local(
2025-09-07T06:38:41.3213040Z     ...     path,
2025-09-07T06:38:41.3213160Z     ...     "resnet50",
2025-09-07T06:38:41.3213340Z     ...     weights="ResNet50_Weights.IMAGENET1K_V1",
2025-09-07T06:38:41.3213570Z     ... )
2025-09-07T06:38:41.3213640Z 
2025-09-07T06:38:41.3213800Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.3214020Z 
2025-09-07T06:38:41.3214380Z msg = Cannot scrape callname=download_url_to_file in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/hub.py line=696.
2025-09-07T06:38:41.3214950Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.3215260Z Download object at the given URL to a local path.
2025-09-07T06:38:41.3215410Z 
2025-09-07T06:38:41.3215460Z     Args:
2025-09-07T06:38:41.3215590Z         url (str): URL of the object to download
2025-09-07T06:38:41.3215880Z         dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file``
2025-09-07T06:38:41.3216290Z         hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``.
2025-09-07T06:38:41.3216600Z             Default: None
2025-09-07T06:38:41.3216890Z         progress (bool, optional): whether or not to display a progress bar to stderr
2025-09-07T06:38:41.3217170Z             Default: True
2025-09-07T06:38:41.3217270Z 
2025-09-07T06:38:41.3217310Z     Example:
2025-09-07T06:38:41.3217460Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-09-07T06:38:41.3217670Z         >>> # xdoctest: +REQUIRES(POSIX)
2025-09-07T06:38:41.3217870Z         >>> torch.hub.download_url_to_file(
2025-09-07T06:38:41.3218150Z         ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth",
2025-09-07T06:38:41.3218410Z         ...     "/tmp/temporary_file",
2025-09-07T06:38:41.3218570Z         ... )
2025-09-07T06:38:41.3218650Z 
2025-09-07T06:38:41.3218690Z     
2025-09-07T06:38:41.3218900Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.3845650Z 
2025-09-07T06:38:41.3846260Z msg = Cannot scrape callname=load_state_dict_from_url in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/hub.py line=821.
2025-09-07T06:38:41.3847080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.3847410Z Loads the Torch serialized object at the given URL.
2025-09-07T06:38:41.3847570Z 
2025-09-07T06:38:41.3847690Z     If downloaded file is a zip file, it will be automatically
2025-09-07T06:38:41.3847920Z     decompressed.
2025-09-07T06:38:41.3848010Z 
2025-09-07T06:38:41.3848200Z     If the object is already present in `model_dir`, it's deserialized and
2025-09-07T06:38:41.3848460Z     returned.
2025-09-07T06:38:41.3848680Z     The default value of ``model_dir`` is ``<hub_dir>/checkpoints`` where
2025-09-07T06:38:41.3849000Z     ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`.
2025-09-07T06:38:41.3849190Z 
2025-09-07T06:38:41.3849240Z     Args:
2025-09-07T06:38:41.3849380Z         url (str): URL of the object to download
2025-09-07T06:38:41.3849650Z         model_dir (str, optional): directory in which to save the object
2025-09-07T06:38:41.3850070Z         map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load)
2025-09-07T06:38:41.3850560Z         progress (bool, optional): whether or not to display a progress bar to stderr.
2025-09-07T06:38:41.3850840Z             Default: True
2025-09-07T06:38:41.3851150Z         check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
2025-09-07T06:38:41.3851550Z             ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
2025-09-07T06:38:41.3851900Z             digits of the SHA256 hash of the contents of the file. The hash is used to
2025-09-07T06:38:41.3852220Z             ensure unique names and to verify the contents of the file.
2025-09-07T06:38:41.3852460Z             Default: False
2025-09-07T06:38:41.3852770Z         file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set.
2025-09-07T06:38:41.3853310Z         weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects.
2025-09-07T06:38:41.3853730Z             Recommended for untrusted sources. See :func:`~torch.load` for more details.
2025-09-07T06:38:41.3853950Z 
2025-09-07T06:38:41.3854000Z     Example:
2025-09-07T06:38:41.3854160Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-09-07T06:38:41.3854400Z         >>> state_dict = torch.hub.load_state_dict_from_url(
2025-09-07T06:38:41.3854710Z         ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth"
2025-09-07T06:38:41.3854950Z         ... )
2025-09-07T06:38:41.3855030Z 
2025-09-07T06:38:41.3855070Z     
2025-09-07T06:38:41.3855280Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.3855500Z 
2025-09-07T06:38:41.3855860Z msg = Cannot scrape callname=meshgrid in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py line=397.
2025-09-07T06:38:41.3856500Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.3856870Z Creates grids of coordinates specified by the 1D inputs in `attr`:tensors.
2025-09-07T06:38:41.3857090Z 
2025-09-07T06:38:41.3857200Z         This is helpful when you want to visualize data over some
2025-09-07T06:38:41.3857470Z         range of inputs. See below for a plotting example.
2025-09-07T06:38:41.3857630Z 
2025-09-07T06:38:41.3857730Z         Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as
2025-09-07T06:38:41.3858020Z         inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`,
2025-09-07T06:38:41.3858330Z         this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots
2025-09-07T06:38:41.3858610Z         G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where
2025-09-07T06:38:41.3858890Z         the output :math:`G_i` is constructed by expanding :math:`T_i`
2025-09-07T06:38:41.3859130Z         to the result shape.
2025-09-07T06:38:41.3859240Z 
2025-09-07T06:38:41.3859310Z         .. note::
2025-09-07T06:38:41.3859530Z             0D inputs are treated equivalently to 1D inputs of a
2025-09-07T06:38:41.3859750Z             single element.
2025-09-07T06:38:41.3859860Z 
2025-09-07T06:38:41.3859910Z         .. warning::
2025-09-07T06:38:41.3860120Z             `torch.meshgrid(*tensors)` currently has the same behavior
2025-09-07T06:38:41.3860430Z             as calling `numpy.meshgrid(*arrays, indexing='ij')`.
2025-09-07T06:38:41.3860600Z 
2025-09-07T06:38:41.3860700Z             In the future `torch.meshgrid` will transition to
2025-09-07T06:38:41.3860920Z             `indexing='xy'` as the default.
2025-09-07T06:38:41.3861060Z 
2025-09-07T06:38:41.3861170Z             https://github.com/pytorch/pytorch/issues/50276 tracks
2025-09-07T06:38:41.3861460Z             this issue with the goal of migrating to NumPy's behavior.
2025-09-07T06:38:41.3861640Z 
2025-09-07T06:38:41.3861680Z         .. seealso::
2025-09-07T06:38:41.3861780Z 
2025-09-07T06:38:41.3861890Z             :func:`torch.cartesian_prod` has the same effect but it
2025-09-07T06:38:41.3862160Z             collects the data in a tensor of vectors.
2025-09-07T06:38:41.3862300Z 
2025-09-07T06:38:41.3862350Z         Args:
2025-09-07T06:38:41.3862580Z             tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be
2025-09-07T06:38:41.3862910Z                 treated as tensors of size :math:`(1,)` automatically
2025-09-07T06:38:41.3863090Z 
2025-09-07T06:38:41.3863200Z             indexing: (str, optional): the indexing mode, either "xy"
2025-09-07T06:38:41.3863480Z                 or "ij", defaults to "ij". See warning for future changes.
2025-09-07T06:38:41.3863660Z 
2025-09-07T06:38:41.3863760Z                 If "xy" is selected, the first dimension corresponds
2025-09-07T06:38:41.3864020Z                 to the cardinality of the second input and the second
2025-09-07T06:38:41.3864320Z                 dimension corresponds to the cardinality of the first
2025-09-07T06:38:41.3864550Z                 input.
2025-09-07T06:38:41.3864640Z 
2025-09-07T06:38:41.3864740Z                 If "ij" is selected, the dimensions are in the same
2025-09-07T06:38:41.3864990Z                 order as the cardinality of the inputs.
2025-09-07T06:38:41.3865140Z 
2025-09-07T06:38:41.3865180Z         Returns:
2025-09-07T06:38:41.3865370Z             seq (sequence of Tensors): If the input has :math:`N`
2025-09-07T06:38:41.3865640Z             tensors of size :math:`S_0 \ldots S_{N-1}``, then the
2025-09-07T06:38:41.3865960Z             output will also have :math:`N` tensors, where each tensor
2025-09-07T06:38:41.3866220Z             is of shape :math:`(S_0, ..., S_{N-1})`.
2025-09-07T06:38:41.3866370Z 
2025-09-07T06:38:41.3866420Z         Example::
2025-09-07T06:38:41.3866500Z 
2025-09-07T06:38:41.3866590Z             >>> x = torch.tensor([1, 2, 3])
2025-09-07T06:38:41.3866790Z             >>> y = torch.tensor([4, 5, 6])
2025-09-07T06:38:41.3866920Z 
2025-09-07T06:38:41.3867090Z             Observe the element-wise pairings across the grid, (1, 4),
2025-09-07T06:38:41.3867360Z             (1, 5), ..., (3, 6). This is the same thing as the
2025-09-07T06:38:41.3867570Z             cartesian product.
2025-09-07T06:38:41.3867780Z             >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij')
2025-09-07T06:38:41.3868000Z             >>> grid_x
2025-09-07T06:38:41.3868140Z             tensor([[1, 1, 1],
2025-09-07T06:38:41.3868300Z                     [2, 2, 2],
2025-09-07T06:38:41.3868450Z                     [3, 3, 3]])
2025-09-07T06:38:41.3868600Z             >>> grid_y
2025-09-07T06:38:41.3868740Z             tensor([[4, 5, 6],
2025-09-07T06:38:41.3868900Z                     [4, 5, 6],
2025-09-07T06:38:41.3869050Z                     [4, 5, 6]])
2025-09-07T06:38:41.3869150Z 
2025-09-07T06:38:41.3869260Z             This correspondence can be seen when these grids are
2025-09-07T06:38:41.3869480Z             stacked properly.
2025-09-07T06:38:41.3869720Z             >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))),
2025-09-07T06:38:41.3870030Z             ...             torch.cartesian_prod(x, y))
2025-09-07T06:38:41.3870220Z             True
2025-09-07T06:38:41.3870300Z 
2025-09-07T06:38:41.3870410Z             `torch.meshgrid` is commonly used to produce a grid for
2025-09-07T06:38:41.3870630Z             plotting.
2025-09-07T06:38:41.3870810Z             >>> # xdoctest: +REQUIRES(module:matplotlib)
2025-09-07T06:38:41.3871070Z             >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW)
2025-09-07T06:38:41.3871300Z             >>> import matplotlib.pyplot as plt
2025-09-07T06:38:41.3871560Z             >>> xs = torch.linspace(-5, 5, steps=100)
2025-09-07T06:38:41.3871770Z             >>> ys = torch.linspace(-5, 5, steps=100)
2025-09-07T06:38:41.3872000Z             >>> x, y = torch.meshgrid(xs, ys, indexing='xy')
2025-09-07T06:38:41.3872220Z             >>> z = torch.sin(torch.sqrt(x * x + y * y))
2025-09-07T06:38:41.3872440Z             >>> ax = plt.axes(projection='3d')
2025-09-07T06:38:41.3872680Z             >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy())
2025-09-07T06:38:41.3872880Z             >>> plt.show()
2025-09-07T06:38:41.3872990Z 
2025-09-07T06:38:41.3873060Z         .. image:: ../_static/img/meshgrid.png
2025-09-07T06:38:41.3873240Z             :width: 512
2025-09-07T06:38:41.3873340Z 
2025-09-07T06:38:41.3873380Z         
2025-09-07T06:38:41.3873600Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.3873820Z 
2025-09-07T06:38:41.3874180Z msg = Cannot scrape callname=_unique_impl in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py line=793.
2025-09-07T06:38:41.3874760Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.3875220Z unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor]
2025-09-07T06:38:41.3875510Z 
2025-09-07T06:38:41.3875680Z     Returns the unique elements of the input tensor.
2025-09-07T06:38:41.3875840Z 
2025-09-07T06:38:41.3876020Z     .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that
2025-09-07T06:38:41.3876390Z         this function also eliminates non-consecutive duplicate values.
2025-09-07T06:38:41.3876580Z 
2025-09-07T06:38:41.3876730Z     .. note:: Currently in the CUDA implementation and the CPU implementation,
2025-09-07T06:38:41.3877110Z         `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument.
2025-09-07T06:38:41.3877520Z         Sorting could be slow, so if your input tensor is already sorted, it is recommended to use
2025-09-07T06:38:41.3877870Z         :func:`torch.unique_consecutive` which avoids the sorting.
2025-09-07T06:38:41.3878050Z 
2025-09-07T06:38:41.3878100Z     Args:
2025-09-07T06:38:41.3878230Z         input (Tensor): the input tensor
2025-09-07T06:38:41.3878490Z         sorted (bool): Whether to sort the unique elements in ascending order
2025-09-07T06:38:41.3878790Z             before returning as output.
2025-09-07T06:38:41.3879060Z         return_inverse (bool): Whether to also return the indices for where
2025-09-07T06:38:41.3879390Z             elements in the original input ended up in the returned unique list.
2025-09-07T06:38:41.3879720Z         return_counts (bool): Whether to also return the counts for each unique
2025-09-07T06:38:41.3879970Z             element.
2025-09-07T06:38:41.3880190Z         dim (int, optional): the dimension to operate upon. If ``None``, the
2025-09-07T06:38:41.3880510Z             unique of the flattened input is returned. Otherwise, each of the
2025-09-07T06:38:41.3880830Z             tensors indexed by the given dimension is treated as one of the
2025-09-07T06:38:41.3881180Z             elements to apply the unique operation upon. See examples for more
2025-09-07T06:38:41.3881440Z             details. Default: ``None``
2025-09-07T06:38:41.3881560Z 
2025-09-07T06:38:41.3881610Z     Returns:
2025-09-07T06:38:41.3881860Z         (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing
2025-09-07T06:38:41.3882130Z 
2025-09-07T06:38:41.3882250Z             - **output** (*Tensor*): the output list of unique scalar elements.
2025-09-07T06:38:41.3882530Z             - **inverse_indices** (*Tensor*): (optional) if
2025-09-07T06:38:41.3882800Z               :attr:`return_inverse` is True, there will be an additional
2025-09-07T06:38:41.3883140Z               returned tensor (same shape as input) representing the indices
2025-09-07T06:38:41.3883460Z               for where elements in the original input map to in the output;
2025-09-07T06:38:41.3883760Z               otherwise, this function will only return a single tensor.
2025-09-07T06:38:41.3884010Z             - **counts** (*Tensor*): (optional) if
2025-09-07T06:38:41.3884260Z               :attr:`return_counts` is True, there will be an additional
2025-09-07T06:38:41.3884560Z               returned tensor (same shape as output or output.size(dim),
2025-09-07T06:38:41.3884850Z               if dim was specified) representing the number of occurrences
2025-09-07T06:38:41.3885100Z               for each unique value or tensor.
2025-09-07T06:38:41.3885240Z 
2025-09-07T06:38:41.3885290Z     Example::
2025-09-07T06:38:41.3885370Z 
2025-09-07T06:38:41.3885500Z         >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long))
2025-09-07T06:38:41.3885740Z         >>> output
2025-09-07T06:38:41.3885870Z         tensor([1, 2, 3])
2025-09-07T06:38:41.3885970Z 
2025-09-07T06:38:41.3886050Z         >>> output, inverse_indices = torch.unique(
2025-09-07T06:38:41.3886350Z         ...     torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True)
2025-09-07T06:38:41.3886610Z         >>> output
2025-09-07T06:38:41.3886740Z         tensor([1, 2, 3])
2025-09-07T06:38:41.3886900Z         >>> inverse_indices
2025-09-07T06:38:41.3887060Z         tensor([0, 2, 1, 2])
2025-09-07T06:38:41.3887190Z 
2025-09-07T06:38:41.3887270Z         >>> output, inverse_indices = torch.unique(
2025-09-07T06:38:41.3887570Z         ...     torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True)
2025-09-07T06:38:41.3887820Z         >>> output
2025-09-07T06:38:41.3887960Z         tensor([1, 2, 3])
2025-09-07T06:38:41.3888110Z         >>> inverse_indices
2025-09-07T06:38:41.3888260Z         tensor([[0, 2],
2025-09-07T06:38:41.3888400Z                 [1, 2]])
2025-09-07T06:38:41.3888490Z 
2025-09-07T06:38:41.3888550Z         >>> a = torch.tensor([
2025-09-07T06:38:41.3888700Z         ...     [
2025-09-07T06:38:41.3888830Z         ...         [1, 1, 0, 0],
2025-09-07T06:38:41.3889000Z         ...         [1, 1, 0, 0],
2025-09-07T06:38:41.3889160Z         ...         [0, 0, 1, 1],
2025-09-07T06:38:41.3889320Z         ...     ],
2025-09-07T06:38:41.3889450Z         ...     [
2025-09-07T06:38:41.3889570Z         ...         [0, 0, 1, 1],
2025-09-07T06:38:41.3889820Z         ...         [0, 0, 1, 1],
2025-09-07T06:38:41.3890030Z         ...         [1, 1, 1, 1],
2025-09-07T06:38:41.3895640Z         ...     ],
2025-09-07T06:38:41.3895790Z         ...     [
2025-09-07T06:38:41.3895920Z         ...         [1, 1, 0, 0],
2025-09-07T06:38:41.3896080Z         ...         [1, 1, 0, 0],
2025-09-07T06:38:41.3896230Z         ...         [0, 0, 1, 1],
2025-09-07T06:38:41.3896380Z         ...     ],
2025-09-07T06:38:41.3896500Z         ... ])
2025-09-07T06:38:41.3896570Z 
2025-09-07T06:38:41.3896720Z         >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]`
2025-09-07T06:38:41.3897060Z         >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match
2025-09-07T06:38:41.3897330Z         >>> # each other, so one of them will be removed.
2025-09-07T06:38:41.3897540Z         >>> (a[0, :, :] == a[2, :, :]).all()
2025-09-07T06:38:41.3897710Z         tensor(True)
2025-09-07T06:38:41.3897880Z         >>> a_unique_dim0 = torch.unique(a, dim=0)
2025-09-07T06:38:41.3898080Z         >>> a_unique_dim0
2025-09-07T06:38:41.3898230Z         tensor([[[0, 0, 1, 1],
2025-09-07T06:38:41.3898520Z                  [0, 0, 1, 1],
2025-09-07T06:38:41.3898680Z                  [1, 1, 1, 1]],
2025-09-07T06:38:41.3898830Z                 [[1, 1, 0, 0],
2025-09-07T06:38:41.3898980Z                  [1, 1, 0, 0],
2025-09-07T06:38:41.3899140Z                  [0, 0, 1, 1]]])
2025-09-07T06:38:41.3899240Z 
2025-09-07T06:38:41.3899400Z         >>> # Notice which sub-tensors from `a` match with the sub-tensors from
2025-09-07T06:38:41.3899660Z         >>> # `a_unique_dim0`:
2025-09-07T06:38:41.3899850Z         >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all()
2025-09-07T06:38:41.3900030Z         tensor(True)
2025-09-07T06:38:41.3900190Z         >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all()
2025-09-07T06:38:41.3900380Z         tensor(True)
2025-09-07T06:38:41.3900470Z 
2025-09-07T06:38:41.3900590Z         >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are
2025-09-07T06:38:41.3900910Z         >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of
2025-09-07T06:38:41.3901150Z         >>> # them will be removed.
2025-09-07T06:38:41.3901340Z         >>> (a[:, 0, :] == a[:, 1, :]).all()
2025-09-07T06:38:41.3901510Z         tensor(True)
2025-09-07T06:38:41.3901660Z         >>> torch.unique(a, dim=1)
2025-09-07T06:38:41.3901830Z         tensor([[[0, 0, 1, 1],
2025-09-07T06:38:41.3901980Z                  [1, 1, 0, 0]],
2025-09-07T06:38:41.3902140Z                 [[1, 1, 1, 1],
2025-09-07T06:38:41.3902290Z                  [0, 0, 1, 1]],
2025-09-07T06:38:41.3902440Z                 [[0, 0, 1, 1],
2025-09-07T06:38:41.3902590Z                  [1, 1, 0, 0]]])
2025-09-07T06:38:41.3902700Z 
2025-09-07T06:38:41.3902830Z         >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared.
2025-09-07T06:38:41.3903140Z         >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and
2025-09-07T06:38:41.3903440Z         >>> # `a[:, :, 3]` match each other as well. So in this case, two of the
2025-09-07T06:38:41.3903690Z         >>> # sub-tensors will be removed.
2025-09-07T06:38:41.3903890Z         >>> (a[:, :, 0] == a[:, :, 1]).all()
2025-09-07T06:38:41.3904060Z         tensor(True)
2025-09-07T06:38:41.3904210Z         >>> (a[:, :, 2] == a[:, :, 3]).all()
2025-09-07T06:38:41.3904380Z         tensor(True)
2025-09-07T06:38:41.3904530Z         >>> torch.unique(a, dim=2)
2025-09-07T06:38:41.3904700Z         tensor([[[0, 1],
2025-09-07T06:38:41.3904840Z                  [0, 1],
2025-09-07T06:38:41.3904980Z                  [1, 0]],
2025-09-07T06:38:41.3905120Z                 [[1, 0],
2025-09-07T06:38:41.3905260Z                  [1, 0],
2025-09-07T06:38:41.3905390Z                  [1, 1]],
2025-09-07T06:38:41.3905530Z                 [[0, 1],
2025-09-07T06:38:41.3905660Z                  [0, 1],
2025-09-07T06:38:41.3905800Z                  [1, 0]]])
2025-09-07T06:38:41.3905930Z     
2025-09-07T06:38:41.3906140Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.4246720Z 
2025-09-07T06:38:41.4247310Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/serialization.py line=1285.
2025-09-07T06:38:41.4247940Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.4248400Z load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args)
2025-09-07T06:38:41.4248680Z 
2025-09-07T06:38:41.4248840Z     Loads an object saved with :func:`torch.save` from a file.
2025-09-07T06:38:41.4249030Z 
2025-09-07T06:38:41.4249180Z     :func:`torch.load` uses Python's unpickling facilities but treats storages,
2025-09-07T06:38:41.4249550Z     which underlie tensors, specially. They are first deserialized on the
2025-09-07T06:38:41.4249910Z     CPU and are then moved to the device they were saved from. If this fails
2025-09-07T06:38:41.4250270Z     (e.g. because the run time system doesn't have certain devices), an exception
2025-09-07T06:38:41.4250920Z     is raised. However, storages can be dynamically remapped to an alternative
2025-09-07T06:38:41.4251250Z     set of devices using the :attr:`map_location` argument.
2025-09-07T06:38:41.4251410Z 
2025-09-07T06:38:41.4251570Z     If :attr:`map_location` is a callable, it will be called once for each serialized
2025-09-07T06:38:41.4251970Z     storage with two arguments: storage and location. The storage argument
2025-09-07T06:38:41.4252320Z     will be the initial deserialization of the storage, residing on the CPU.
2025-09-07T06:38:41.4252670Z     Each serialized storage has a location tag associated with it which
2025-09-07T06:38:41.4253000Z     identifies the device it was saved from, and this tag is the second
2025-09-07T06:38:41.4253350Z     argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'``
2025-09-07T06:38:41.4253710Z     for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors.
2025-09-07T06:38:41.4254040Z     :attr:`map_location` should return either ``None`` or a storage. If
2025-09-07T06:38:41.4254390Z     :attr:`map_location` returns a storage, it will be used as the final deserialized
2025-09-07T06:38:41.4254760Z     object, already moved to the right device. Otherwise, :func:`torch.load` will
2025-09-07T06:38:41.4255130Z     fall back to the default behavior, as if :attr:`map_location` wasn't specified.
2025-09-07T06:38:41.4255350Z 
2025-09-07T06:38:41.4255500Z     If :attr:`map_location` is a :class:`torch.device` object or a string containing
2025-09-07T06:38:41.4255860Z     a device tag, it indicates the location where all tensors should be loaded.
2025-09-07T06:38:41.4256070Z 
2025-09-07T06:38:41.4256230Z     Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags
2025-09-07T06:38:41.4256580Z     appearing in the file (keys), to ones that specify where to put the
2025-09-07T06:38:41.4256830Z     storages (values).
2025-09-07T06:38:41.4256990Z 
2025-09-07T06:38:41.4257140Z     User extensions can register their own location tags and tagging and
2025-09-07T06:38:41.4257500Z     deserialization methods using :func:`torch.serialization.register_package`.
2025-09-07T06:38:41.4257730Z 
2025-09-07T06:38:41.4257880Z     See :ref:`layout-control` for more advanced tools to manipulate a checkpoint.
2025-09-07T06:38:41.4258090Z 
2025-09-07T06:38:41.4258140Z     Args:
2025-09-07T06:38:41.4258400Z         f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`),
2025-09-07T06:38:41.4258770Z             or a string or os.PathLike object containing a file name
2025-09-07T06:38:41.4259130Z         map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage
2025-09-07T06:38:41.4259440Z             locations
2025-09-07T06:38:41.4259680Z         pickle_module: module used for unpickling metadata and objects (has to
2025-09-07T06:38:41.4259990Z             match the :attr:`pickle_module` used to serialize file)
2025-09-07T06:38:41.4260410Z         weights_only: Indicates whether unpickler should be restricted to
2025-09-07T06:38:41.4260710Z             loading only tensors, primitive types, dictionaries
2025-09-07T06:38:41.4261020Z             and any types added via :func:`torch.serialization.add_safe_globals`.
2025-09-07T06:38:41.4261310Z             See :ref:`weights-only` for more details.
2025-09-07T06:38:41.4261660Z         mmap: Indicates whether the file should be mapped rather than loading all the storages into memory.
2025-09-07T06:38:41.4262120Z             Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they
2025-09-07T06:38:41.4262590Z             are moved to the location that they were tagged with when saving, or specified by ``map_location``. This
2025-09-07T06:38:41.4263070Z             second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the
2025-09-07T06:38:41.4263530Z             tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages
2025-09-07T06:38:41.4263930Z             will be lazily loaded when their data is accessed.
2025-09-07T06:38:41.4264240Z         pickle_load_args: (Python 3 only) optional keyword arguments passed over to
2025-09-07T06:38:41.4264590Z             :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g.,
2025-09-07T06:38:41.4264860Z             :attr:`errors=...`.
2025-09-07T06:38:41.4264990Z 
2025-09-07T06:38:41.4265920Z     .. warning::
2025-09-07T06:38:41.4266150Z         :func:`torch.load()` unless `weights_only` parameter is set to `True`,
2025-09-07T06:38:41.4266480Z         uses ``pickle`` module implicitly, which is known to be insecure.
2025-09-07T06:38:41.4266850Z         It is possible to construct malicious pickle data which will execute arbitrary code
2025-09-07T06:38:41.4267240Z         during unpickling. Never load data that could have come from an untrusted
2025-09-07T06:38:41.4267650Z         source in an unsafe mode, or that could have been tampered with. **Only load data you trust**.
2025-09-07T06:38:41.4267910Z 
2025-09-07T06:38:41.4267960Z     .. note::
2025-09-07T06:38:41.4268210Z         When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors
2025-09-07T06:38:41.4268610Z         will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')``
2025-09-07T06:38:41.4269010Z         and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint.
2025-09-07T06:38:41.4269250Z 
2025-09-07T06:38:41.4269290Z     .. note::
2025-09-07T06:38:41.4269530Z         By default, we decode byte strings as ``utf-8``.  This is to avoid a common error
2025-09-07T06:38:41.4269890Z         case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...``
2025-09-07T06:38:41.4270220Z         when loading files saved by Python 2 in Python 3.  If this default
2025-09-07T06:38:41.4270690Z         is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how
2025-09-07T06:38:41.4271080Z         these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them
2025-09-07T06:38:41.4271460Z         to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them
2025-09-07T06:38:41.4271830Z         as byte arrays which can be decoded later with ``byte_array.decode(...)``.
2025-09-07T06:38:41.4272040Z 
2025-09-07T06:38:41.4272090Z     Example:
2025-09-07T06:38:41.4272260Z         >>> # xdoctest: +SKIP("undefined filepaths")
2025-09-07T06:38:41.4272500Z         >>> torch.load("tensors.pt", weights_only=True)
2025-09-07T06:38:41.4272720Z         # Load all tensors onto the CPU
2025-09-07T06:38:41.4272900Z         >>> torch.load(
2025-09-07T06:38:41.4273050Z         ...     "tensors.pt",
2025-09-07T06:38:41.4273240Z         ...     map_location=torch.device("cpu"),
2025-09-07T06:38:41.4273450Z         ...     weights_only=True,
2025-09-07T06:38:41.4273610Z         ... )
2025-09-07T06:38:41.4273810Z         # Load all tensors onto the CPU, using a function
2025-09-07T06:38:41.4274020Z         >>> torch.load(
2025-09-07T06:38:41.4274160Z         ...     "tensors.pt",
2025-09-07T06:38:41.4274360Z         ...     map_location=lambda storage, loc: storage,
2025-09-07T06:38:41.4274560Z         ...     weights_only=True,
2025-09-07T06:38:41.4274720Z         ... )
2025-09-07T06:38:41.4274850Z         # Load all tensors onto GPU 1
2025-09-07T06:38:41.4275030Z         >>> torch.load(
2025-09-07T06:38:41.4275180Z         ...     "tensors.pt",
2025-09-07T06:38:41.4275390Z         ...     map_location=lambda storage, loc: storage.cuda(1),
2025-09-07T06:38:41.4275610Z         ...     weights_only=True,
2025-09-07T06:38:41.4275790Z         ... )  # type: ignore[attr-defined]
2025-09-07T06:38:41.4275990Z         # Map tensors from GPU 1 to GPU 0
2025-09-07T06:38:41.4276170Z         >>> torch.load(
2025-09-07T06:38:41.4276320Z         ...     "tensors.pt",
2025-09-07T06:38:41.4276490Z         ...     map_location={"cuda:1": "cuda:0"},
2025-09-07T06:38:41.4276700Z         ...     weights_only=True,
2025-09-07T06:38:41.4276890Z         ... )
2025-09-07T06:38:41.4277030Z         # Load tensor from io.BytesIO object
2025-09-07T06:38:41.4277320Z         # Loading from a buffer setting weights_only=False, warning this can be unsafe
2025-09-07T06:38:41.4277610Z         >>> with open("tensor.pt", "rb") as f:
2025-09-07T06:38:41.4277820Z         ...     buffer = io.BytesIO(f.read())
2025-09-07T06:38:41.4278050Z         >>> torch.load(buffer, weights_only=False)
2025-09-07T06:38:41.4278300Z         # Load a module with 'ascii' encoding for unpickling
2025-09-07T06:38:41.4278600Z         # Loading from a module setting weights_only=False, warning this can be unsafe
2025-09-07T06:38:41.4278940Z         >>> torch.load("module.pt", encoding="ascii", weights_only=False)
2025-09-07T06:38:41.4279170Z     
2025-09-07T06:38:41.4279380Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.4279610Z 
2025-09-07T06:38:41.4279980Z msg = Cannot scrape callname=Future.then in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/futures/__init__.py line=101.
2025-09-07T06:38:41.4280580Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.4280810Z 
2025-09-07T06:38:41.4280940Z Append the given callback function to this ``Future``, which will be run
2025-09-07T06:38:41.4281280Z when the ``Future`` is completed.  Multiple callbacks can be added to
2025-09-07T06:38:41.4281590Z the same ``Future``, but the order in which they will be executed cannot
2025-09-07T06:38:41.4281900Z be guaranteed (to enforce a certain order consider chaining:
2025-09-07T06:38:41.4282200Z ``fut.then(cb1).then(cb2)``). The callback must take one argument, which
2025-09-07T06:38:41.4282520Z is the reference to this ``Future``. The callback function can use the
2025-09-07T06:38:41.4282870Z :meth:`value` method to get the value. Note that if this ``Future`` is
2025-09-07T06:38:41.4283200Z already completed, the given callback will be run immediately inline.
2025-09-07T06:38:41.4283410Z 
2025-09-07T06:38:41.4283520Z If the ``Future``'s value contains tensors that reside on GPUs, the
2025-09-07T06:38:41.4283840Z callback might be invoked while the async kernels that are populating
2025-09-07T06:38:41.4284180Z those tensors haven't yet finished executing on the device. However, the
2025-09-07T06:38:41.4284520Z callback will be invoked with some dedicated streams set as current
2025-09-07T06:38:41.4284850Z (fetched from a global pool) which will be synchronized with those
2025-09-07T06:38:41.4285170Z kernels. Hence any operation performed by the callback on these tensors
2025-09-07T06:38:41.4285510Z will be scheduled on the device after the kernels complete. In other
2025-09-07T06:38:41.4285830Z words, as long as the callback doesn't switch streams, it can safely
2025-09-07T06:38:41.4286150Z manipulate the result without any additional synchronization. This is
2025-09-07T06:38:41.4286490Z similar to the non-blocking behavior of :meth:`wait`.
2025-09-07T06:38:41.4286660Z 
2025-09-07T06:38:41.4286790Z Similarly, if the callback returns a value that contains tensors that
2025-09-07T06:38:41.4287110Z reside on a GPU, it can do so even if the kernels that are producing
2025-09-07T06:38:41.4287420Z these tensors are still running on the device, as long as the callback
2025-09-07T06:38:41.4287750Z didn't change streams during its execution. If one wants to change
2025-09-07T06:38:41.4288060Z streams, one must be careful to re-synchronize them with the original
2025-09-07T06:38:41.4288390Z streams, that is, those that were current when the callback was invoked.
2025-09-07T06:38:41.4288590Z 
2025-09-07T06:38:41.4288630Z Args:
2025-09-07T06:38:41.4288810Z     callback(``Callable``): a ``Callable`` that takes this ``Future`` as
2025-09-07T06:38:41.4289070Z                             the only argument.
2025-09-07T06:38:41.4289200Z 
2025-09-07T06:38:41.4289250Z Returns:
2025-09-07T06:38:41.4289420Z     A new ``Future`` object that holds the return value of the
2025-09-07T06:38:41.4289770Z     ``callback`` and will be marked as completed when the given
2025-09-07T06:38:41.4289990Z     ``callback`` finishes.
2025-09-07T06:38:41.4290090Z 
2025-09-07T06:38:41.4290200Z .. note:: Note that if the callback function throws, either
2025-09-07T06:38:41.4290500Z     through the original future being completed with an exception and
2025-09-07T06:38:41.4290840Z     calling ``fut.wait()``, or through other code in the callback, the
2025-09-07T06:38:41.4291150Z     future returned by ``then`` will be marked appropriately with the
2025-09-07T06:38:41.4291460Z     encountered error. However, if this callback later completes
2025-09-07T06:38:41.4291770Z     additional futures, those futures are not marked as completed with
2025-09-07T06:38:41.4292100Z     an error and the user is responsible for handling completion/waiting
2025-09-07T06:38:41.4292360Z     on those futures independently.
2025-09-07T06:38:41.4292490Z 
2025-09-07T06:38:41.4292540Z Example::
2025-09-07T06:38:41.4292610Z 
2025-09-07T06:38:41.4292700Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-09-07T06:38:41.4292910Z     >>> def callback(fut):
2025-09-07T06:38:41.4293100Z     ...     print(f"RPC return value is {fut.wait()}.")
2025-09-07T06:38:41.4293310Z     >>> fut = torch.futures.Future()
2025-09-07T06:38:41.4293550Z     >>> # The inserted callback will print the return value when
2025-09-07T06:38:41.4293790Z     >>> # receiving the response from "worker1"
2025-09-07T06:38:41.4293990Z     >>> cb_fut = fut.then(callback)
2025-09-07T06:38:41.4294170Z     >>> chain_cb_fut = cb_fut.then(
2025-09-07T06:38:41.4294380Z     ...     lambda x : print(f"Chained cb done. {x.wait()}")
2025-09-07T06:38:41.4294580Z     ... )
2025-09-07T06:38:41.4294700Z     >>> fut.set_result(5)
2025-09-07T06:38:41.4294850Z     RPC return value is 5.
2025-09-07T06:38:41.4295010Z     Chained cb done. None
2025-09-07T06:38:41.4295160Z 
2025-09-07T06:38:41.4295320Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.5580390Z 
2025-09-07T06:38:41.5581080Z msg = Cannot scrape callname=Future.set_result in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/futures/__init__.py line=211.
2025-09-07T06:38:41.5581740Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.5581980Z 
2025-09-07T06:38:41.5582140Z Set the result for this ``Future``, which will mark this ``Future`` as
2025-09-07T06:38:41.5582480Z completed and trigger all attached callbacks. Note that a ``Future``
2025-09-07T06:38:41.5582750Z cannot be marked completed twice.
2025-09-07T06:38:41.5582880Z 
2025-09-07T06:38:41.5583020Z If the result contains tensors that reside on GPUs, this method can be
2025-09-07T06:38:41.5583350Z called even if the asynchronous kernels that are populating those
2025-09-07T06:38:41.5583680Z tensors haven't yet completed running on the device, provided that the
2025-09-07T06:38:41.5584330Z streams on which those kernels were enqueued are set as the current ones
2025-09-07T06:38:41.5584650Z when this method is called. Put simply, it's safe to call this method
2025-09-07T06:38:41.5584980Z immediately after launching those kernels, without any additional
2025-09-07T06:38:41.5585310Z synchronization, as long as one doesn't change streams in between. This
2025-09-07T06:38:41.5585660Z method will record events on all the relevant current streams and will
2025-09-07T06:38:41.5585980Z use them to ensure proper scheduling for all the consumers of this
2025-09-07T06:38:41.5586210Z ``Future``.
2025-09-07T06:38:41.5586280Z 
2025-09-07T06:38:41.5586330Z Args:
2025-09-07T06:38:41.5586530Z     result (object): the result object of this ``Future``.
2025-09-07T06:38:41.5586690Z 
2025-09-07T06:38:41.5586750Z Example::
2025-09-07T06:38:41.5586830Z 
2025-09-07T06:38:41.5586920Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-09-07T06:38:41.5587120Z     >>> import threading
2025-09-07T06:38:41.5587410Z     >>> import time
2025-09-07T06:38:41.5587560Z     >>> def slow_set_future(fut, value):
2025-09-07T06:38:41.5587740Z     ...     time.sleep(0.5)
2025-09-07T06:38:41.5587900Z     ...     fut.set_result(value)
2025-09-07T06:38:41.5588080Z     >>> fut = torch.futures.Future()
2025-09-07T06:38:41.5588270Z     >>> t = threading.Thread(
2025-09-07T06:38:41.5588430Z     ...     target=slow_set_future,
2025-09-07T06:38:41.5588700Z     ...     args=(fut, torch.ones(2) * 3)
2025-09-07T06:38:41.5588880Z     ... )
2025-09-07T06:38:41.5588990Z     >>> t.start()
2025-09-07T06:38:41.5589120Z     >>> print(fut.wait())
2025-09-07T06:38:41.5589260Z     tensor([3., 3.])
2025-09-07T06:38:41.5589400Z     >>> t.join()
2025-09-07T06:38:41.5589480Z 
2025-09-07T06:38:41.5589640Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.5589860Z 
2025-09-07T06:38:41.5590240Z msg = Cannot scrape callname=compile_shader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/mps/__init__.py line=145.
2025-09-07T06:38:41.5590840Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.5591200Z Compiles compute shader from source and allows one to invoke kernels
2025-09-07T06:38:41.5591490Z     defined there from the comfort of Python runtime
2025-09-07T06:38:41.5591690Z     Example::
2025-09-07T06:38:41.5591780Z 
2025-09-07T06:38:41.5591900Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS)
2025-09-07T06:38:41.5592130Z         >>> lib = torch.mps.compile_shader(
2025-09-07T06:38:41.5598430Z         ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }"
2025-09-07T06:38:41.5598790Z         ...  )
2025-09-07T06:38:41.5598940Z         >>> x = torch.zeros(16, device="mps")
2025-09-07T06:38:41.5599130Z         >>> lib.full(x, 3.14)
2025-09-07T06:38:41.5599280Z     
2025-09-07T06:38:41.5599590Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.5599820Z 
2025-09-07T06:38:41.5600260Z msg = Cannot scrape callname=compute_required_storage_length in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_prims_common/__init__.py line=1877.
2025-09-07T06:38:41.5600970Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.5601320Z Computes the minimum storage size to hold the given tensor geometry.
2025-09-07T06:38:41.5601530Z 
2025-09-07T06:38:41.5601570Z     Example
2025-09-07T06:38:41.5601680Z     =======
2025-09-07T06:38:41.5601750Z 
2025-09-07T06:38:41.5601890Z     This is the size of a newly allocated tensor's storage, in units of elements
2025-09-07T06:38:41.5602100Z 
2025-09-07T06:38:41.5602160Z     >>> t = torch.empty((10, 20))
2025-09-07T06:38:41.5602430Z     >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset())
2025-09-07T06:38:41.5602750Z     200
2025-09-07T06:38:41.5602810Z 
2025-09-07T06:38:41.5602880Z     >>> # xdoctest: +SKIP(failing)
2025-09-07T06:38:41.5603080Z     >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11))
2025-09-07T06:38:41.5603300Z     >>> size = compute_required_storage_length(
2025-09-07T06:38:41.5603530Z     ...     t2.shape, t2.stride(), t2.storage_offset()
2025-09-07T06:38:41.5603710Z     ... )
2025-09-07T06:38:41.5603840Z     >>> size == t.storage().size()
2025-09-07T06:38:41.5604000Z     True
2025-09-07T06:38:41.5604060Z 
2025-09-07T06:38:41.5604180Z     A valid tensor may have a larger storage size, but never smaller
2025-09-07T06:38:41.5604370Z 
2025-09-07T06:38:41.5604430Z     >>> slice = torch.empty(100)[20:40]
2025-09-07T06:38:41.5604620Z     >>> slice.storage().size()
2025-09-07T06:38:41.5604780Z     100
2025-09-07T06:38:41.5604840Z 
2025-09-07T06:38:41.5604910Z     >>> compute_required_storage_length(
2025-09-07T06:38:41.5605140Z     ...     slice.shape, slice.stride(), slice.storage_offset()
2025-09-07T06:38:41.5605360Z     ... )
2025-09-07T06:38:41.5605510Z     40
2025-09-07T06:38:41.5605580Z 
2025-09-07T06:38:41.5605620Z     
2025-09-07T06:38:41.5605830Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.5606050Z 
2025-09-07T06:38:41.5606410Z msg = Cannot scrape callname=cudart in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/__init__.py line=434.
2025-09-07T06:38:41.5606990Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:41.5607280Z Retrieves the CUDA runtime API module.
2025-09-07T06:38:41.5607410Z 
2025-09-07T06:38:41.5607410Z 
2025-09-07T06:38:41.5607570Z     This function initializes the CUDA runtime environment if it is not already
2025-09-07T06:38:41.5607930Z     initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-09-07T06:38:41.5608270Z     runtime API module provides access to various CUDA runtime functions.
2025-09-07T06:38:41.5608470Z 
2025-09-07T06:38:41.5608520Z     Args:
2025-09-07T06:38:41.5608630Z         ``None``
2025-09-07T06:38:41.5608710Z 
2025-09-07T06:38:41.5608760Z     Returns:
2025-09-07T06:38:41.5608920Z         module: The CUDA runtime API module (_cudart).
2025-09-07T06:38:41.5609080Z 
2025-09-07T06:38:41.5609120Z     Raises:
2025-09-07T06:38:41.5609330Z         RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-09-07T06:38:41.5609750Z         AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-09-07T06:38:41.5610040Z 
2025-09-07T06:38:41.5610110Z     Example of CUDA operations with profiling:
2025-09-07T06:38:41.5610310Z         >>> import torch
2025-09-07T06:38:41.5610490Z         >>> from torch.cuda import cudart, check_error
2025-09-07T06:38:41.5610690Z         >>> import os
2025-09-07T06:38:41.5610820Z         >>>
2025-09-07T06:38:41.5610960Z         >>> os.environ["CUDA_PROFILE"] = "1"
2025-09-07T06:38:41.5611180Z         >>>
2025-09-07T06:38:41.5611340Z         >>> def perform_cuda_operations_with_streams():
2025-09-07T06:38:41.5611560Z         >>>     stream = torch.cuda.Stream()
2025-09-07T06:38:41.5611770Z         >>>     with torch.cuda.stream(stream):
2025-09-07T06:38:41.5611990Z         >>>         x = torch.randn(100, 100, device='cuda')
2025-09-07T06:38:41.5612220Z         >>>         y = torch.randn(100, 100, device='cuda')
2025-09-07T06:38:41.5612420Z         >>>         z = torch.mul(x, y)
2025-09-07T06:38:41.5612590Z         >>>     return z
2025-09-07T06:38:41.5612720Z         >>>
2025-09-07T06:38:41.5612850Z         >>> torch.cuda.synchronize()
2025-09-07T06:38:41.5613060Z         >>> print("====== Start nsys profiling ======")
2025-09-07T06:38:41.5613290Z         >>> check_error(cudart().cudaProfilerStart())
2025-09-07T06:38:41.5613530Z         >>> with torch.autograd.profiler.emit_nvtx():
2025-09-07T06:38:41.5613770Z         >>>     result = perform_cuda_operations_with_streams()
2025-09-07T06:38:41.5614060Z         >>>     print("CUDA operations completed.")
2025-09-07T06:38:41.5614300Z         >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-09-07T06:38:41.5614550Z         >>> print("====== End nsys profiling ======")
2025-09-07T06:38:41.5614690Z 
2025-09-07T06:38:41.5614820Z     To run this example and save the profiling information, execute:
2025-09-07T06:38:41.5615240Z         >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-09-07T06:38:41.5615520Z 
2025-09-07T06:38:41.5615670Z     This command profiles the CUDA operations in the provided script and saves
2025-09-07T06:38:41.5616010Z     the profiling information to a file named `trace_name.prof`.
2025-09-07T06:38:41.5616350Z     The `--profile-from-start off` option ensures that profiling starts only
2025-09-07T06:38:41.5616640Z     after the `cudaProfilerStart` call in the script.
2025-09-07T06:38:41.5616930Z     The `--csv` and `--print-summary` options format the profiling output as a
2025-09-07T06:38:41.5617220Z     CSV file and print a summary, respectively.
2025-09-07T06:38:41.5617550Z     The `-o` option specifies the output file name, and the `-f` option forces the
2025-09-07T06:38:41.5617870Z     overwrite of the output file if it already exists.
2025-09-07T06:38:41.5618070Z     
2025-09-07T06:38:41.5618540Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-09-07T06:38:41.5618980Z 
2025-09-07T06:38:41.5619200Z $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-09-07T06:38:41.5619510Z ^
2025-09-07T06:38:41.5619950Z msg = Cannot scrape callname=is_available in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/accelerator/__init__.py line=66.
2025-09-07T06:38:41.5620550Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:41.5620920Z Check if the current accelerator is available at runtime: it was build, all the
2025-09-07T06:38:41.5621270Z     required drivers are available and at least one device is visible.
2025-09-07T06:38:41.5621560Z     See :ref:`accelerator<accelerators>` for details.
2025-09-07T06:38:41.5621710Z 
2025-09-07T06:38:41.5621760Z     Returns:
2025-09-07T06:38:41.5622000Z         bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-09-07T06:38:41.5622240Z 
2025-09-07T06:38:41.5622390Z     .. note:: This API delegates to the device-specific version of `is_available`.
2025-09-07T06:38:41.5622770Z         On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-09-07T06:38:41.5623150Z         this function will NOT poison fork. Otherwise, it will. For more details, see
2025-09-07T06:38:41.5623450Z         :ref:`multiprocessing-poison-fork-note`.
2025-09-07T06:38:41.5623610Z 
2025-09-07T06:38:41.5623700Z     Example::
2025-09-07T06:38:41.5623780Z 
2025-09-07T06:38:41.5623950Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-09-07T06:38:41.5624230Z     
2025-09-07T06:38:41.5624610Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-09-07T06:38:41.5625000Z 
2025-09-07T06:38:41.5625160Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-09-07T06:38:41.5625440Z                                         ^
2025-09-07T06:38:41.5625950Z msg = Cannot scrape callname=synchronize in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/accelerator/__init__.py line=212.
2025-09-07T06:38:41.5626540Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:41.5626880Z Wait for all kernels in all streams on the given device to complete.
2025-09-07T06:38:41.5627110Z 
2025-09-07T06:38:41.5627160Z     Args:
2025-09-07T06:38:41.5627420Z         device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-09-07T06:38:41.5627820Z             the current :ref:`accelerator<accelerators>` device type. If not given,
2025-09-07T06:38:41.5628150Z             use :func:`torch.accelerator.current_device_index` by default.
2025-09-07T06:38:41.5628340Z 
2025-09-07T06:38:41.5628540Z     .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-09-07T06:38:41.5628800Z 
2025-09-07T06:38:41.5628850Z     Example::
2025-09-07T06:38:41.5628930Z 
2025-09-07T06:38:41.5629020Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-09-07T06:38:41.5629330Z         >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-09-07T06:38:41.5629650Z         >>> start_event = torch.Event(enable_timing=True)
2025-09-07T06:38:41.5629880Z         >>> end_event = torch.Event(enable_timing=True)
2025-09-07T06:38:41.5630090Z         >>> start_event.record()
2025-09-07T06:38:41.5630570Z         >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-09-07T06:38:41.5630850Z         >>> sum = torch.sum(tensor)
2025-09-07T06:38:41.5631020Z         >>> end_event.record()
2025-09-07T06:38:41.5631200Z         >>> torch.accelerator.synchronize()
2025-09-07T06:38:41.5631480Z         >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-09-07T06:38:41.5631710Z     
2025-09-07T06:38:41.5632090Z Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-09-07T06:38:41.5632480Z 
2025-09-07T06:38:41.5632640Z assert torch.accelerator.is_available() "No available accelerators detected."
2025-09-07T06:38:41.6672080Z                                         ^
2025-09-07T06:38:41.6672690Z msg = Cannot scrape callname=sum in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/sparse/__init__.py line=202.
2025-09-07T06:38:41.6673280Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.6673620Z Return the sum of each row of the given sparse tensor.
2025-09-07T06:38:41.6673790Z 
2025-09-07T06:38:41.6673940Z     Returns the sum of each row of the sparse tensor :attr:`input` in the given
2025-09-07T06:38:41.6674290Z     dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions,
2025-09-07T06:38:41.6674620Z     reduce over all of them. When sum over all ``sparse_dim``, this method
2025-09-07T06:38:41.6674920Z     returns a dense tensor instead of a sparse tensor.
2025-09-07T06:38:41.6675090Z 
2025-09-07T06:38:41.6675250Z     All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output
2025-09-07T06:38:41.6675600Z     tensor having :attr:`dim` fewer dimensions than :attr:`input`.
2025-09-07T06:38:41.6675790Z 
2025-09-07T06:38:41.6676190Z     During backward, only gradients at ``nnz`` locations of :attr:`input`
2025-09-07T06:38:41.6676550Z     will propagate back. Note that the gradients of :attr:`input` is coalesced.
2025-09-07T06:38:41.6676760Z 
2025-09-07T06:38:41.6676810Z     Args:
2025-09-07T06:38:41.6676960Z         input (Tensor): the input sparse tensor
2025-09-07T06:38:41.6677270Z         dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce
2025-09-07T06:38:41.6677560Z             over all dims.
2025-09-07T06:38:41.6677810Z         dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor.
2025-09-07T06:38:41.6678110Z             Default: dtype of :attr:`input`.
2025-09-07T06:38:41.6678250Z 
2025-09-07T06:38:41.6678300Z     Example::
2025-09-07T06:38:41.6678380Z 
2025-09-07T06:38:41.6678430Z         >>> nnz = 3
2025-09-07T06:38:41.6678570Z         >>> dims = [5, 5, 2, 3]
2025-09-07T06:38:41.6678770Z         >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)),
2025-09-07T06:38:41.6679150Z                            torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz)
2025-09-07T06:38:41.6679410Z         >>> V = torch.randn(nnz, dims[2], dims[3])
2025-09-07T06:38:41.6679610Z         >>> size = torch.Size(dims)
2025-09-07T06:38:41.6679830Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-09-07T06:38:41.6680060Z         >>> S = torch.sparse_coo_tensor(I, V, size)
2025-09-07T06:38:41.6680240Z         >>> S
2025-09-07T06:38:41.6680380Z         tensor(indices=tensor([[2, 0, 3],
2025-09-07T06:38:41.6680570Z                                [2, 4, 1]]),
2025-09-07T06:38:41.6680790Z                values=tensor([[[-0.6438, -1.6467,  1.4004],
2025-09-07T06:38:41.6681020Z                                [ 0.3411,  0.0918, -0.2312]],
2025-09-07T06:38:41.6681160Z 
2025-09-07T06:38:41.6681230Z                               [[ 0.5348,  0.0634, -2.0494],
2025-09-07T06:38:41.6681440Z                                [-0.7125, -1.0646,  2.1844]],
2025-09-07T06:38:41.6681570Z 
2025-09-07T06:38:41.6681650Z                               [[ 0.1276,  0.1874, -0.6334],
2025-09-07T06:38:41.6681940Z                                [-1.9682, -0.5340,  0.7483]]]),
2025-09-07T06:38:41.6682170Z                size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo)
2025-09-07T06:38:41.6682320Z 
2025-09-07T06:38:41.6682450Z         # when sum over only part of sparse_dims, return a sparse tensor
2025-09-07T06:38:41.6682700Z         >>> torch.sparse.sum(S, [1, 3])
2025-09-07T06:38:41.6682940Z         tensor(indices=tensor([[0, 2, 3]]),
2025-09-07T06:38:41.6683150Z                values=tensor([[-1.4512,  0.4073],
2025-09-07T06:38:41.6683350Z                               [-0.8901,  0.2017],
2025-09-07T06:38:41.6683550Z                               [-0.3183, -1.7539]]),
2025-09-07T06:38:41.6683770Z                size=(5, 2), nnz=3, layout=torch.sparse_coo)
2025-09-07T06:38:41.6683920Z 
2025-09-07T06:38:41.6684010Z         # when sum over all sparse dim, return a dense tensor
2025-09-07T06:38:41.6684240Z         # with summed dims squeezed
2025-09-07T06:38:41.6684430Z         >>> torch.sparse.sum(S, [0, 1, 3])
2025-09-07T06:38:41.6684620Z         tensor([-2.6596, -1.1450])
2025-09-07T06:38:41.6684780Z     
2025-09-07T06:38:41.6684990Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.6685210Z 
2025-09-07T06:38:41.6685600Z msg = Cannot scrape callname=as_sparse_gradcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/sparse/__init__.py line=550.
2025-09-07T06:38:41.6686200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.6686540Z Decorate function, to extend gradcheck for sparse tensors.
2025-09-07T06:38:41.6686730Z 
2025-09-07T06:38:41.6686860Z     Decorator for torch.autograd.gradcheck or its functools.partial
2025-09-07T06:38:41.6687190Z     variants that extends the gradcheck function with support to input
2025-09-07T06:38:41.6687520Z     functions that operate on or/and return sparse tensors.
2025-09-07T06:38:41.6687700Z 
2025-09-07T06:38:41.6687830Z     The specified gradcheck function itself is guaranteed to operate
2025-09-07T06:38:41.6688080Z     on strided tensors only.
2025-09-07T06:38:41.6688190Z 
2025-09-07T06:38:41.6688240Z     For example:
2025-09-07T06:38:41.6688320Z 
2025-09-07T06:38:41.6688470Z     >>> gradcheck = torch.sparse.as_sparse_gradcheck(torch.autograd.gradcheck)
2025-09-07T06:38:41.6688730Z     >>> x = (
2025-09-07T06:38:41.6688900Z     ...     torch.tensor([[0, 1], [2, 3]], dtype=torch.float64)
2025-09-07T06:38:41.6689120Z     ...     .to_sparse_coo()
2025-09-07T06:38:41.6689280Z     ...     .requires_grad_(True)
2025-09-07T06:38:41.6689450Z     ... )
2025-09-07T06:38:41.6689590Z     >>> gradcheck(lambda x: x.to_sparse_csr(), x)
2025-09-07T06:38:41.6689770Z     True
2025-09-07T06:38:41.6689880Z     
2025-09-07T06:38:41.6690090Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.6690380Z 
2025-09-07T06:38:41.6690740Z msg = Cannot scrape callname=vmap in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/apis.py line=39.
2025-09-07T06:38:41.6691310Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.6691530Z 
2025-09-07T06:38:41.6691670Z vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-09-07T06:38:41.6691990Z maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-09-07T06:38:41.6692310Z pushes the map into PyTorch operations called by ``func``, effectively
2025-09-07T06:38:41.6692570Z vectorizing those operations.
2025-09-07T06:38:41.6692700Z 
2025-09-07T06:38:41.6692830Z vmap is useful for handling batch dimensions: one can write a function
2025-09-07T06:38:41.6693140Z ``func`` that runs on examples and then lift it to a function that can
2025-09-07T06:38:41.6693460Z take batches of examples with ``vmap(func)``. vmap can also be used to
2025-09-07T06:38:41.6693760Z compute batched gradients when composed with autograd.
2025-09-07T06:38:41.6693980Z 
2025-09-07T06:38:41.6694030Z .. note::
2025-09-07T06:38:41.6694210Z     :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-09-07T06:38:41.6694460Z     convenience. Use whichever one you'd like.
2025-09-07T06:38:41.6694610Z 
2025-09-07T06:38:41.6694650Z Args:
2025-09-07T06:38:41.6694840Z     func (function): A Python function that takes one or more arguments.
2025-09-07T06:38:41.6695120Z         Must return one or more Tensors.
2025-09-07T06:38:41.6695390Z     in_dims (int or nested structure): Specifies which dimension of the
2025-09-07T06:38:41.6695680Z         inputs should be mapped over. ``in_dims`` should have a
2025-09-07T06:38:41.6695980Z         structure like the inputs. If the ``in_dim`` for a particular
2025-09-07T06:38:41.6696270Z         input is None, then that indicates there is no map dimension.
2025-09-07T06:38:41.6696500Z         Default: 0.
2025-09-07T06:38:41.6696710Z     out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-09-07T06:38:41.6697020Z         should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-09-07T06:38:41.6697300Z         it should have one element per output. Default: 0.
2025-09-07T06:38:41.6697570Z     randomness (str): Specifies whether the randomness in this
2025-09-07T06:38:41.6697870Z         vmap should be the same or different across batches. If 'different',
2025-09-07T06:38:41.6698190Z         the randomness for each batch will be different. If 'same', the
2025-09-07T06:38:41.6698510Z         randomness will be the same across batches. If 'error', any calls to
2025-09-07T06:38:41.6698840Z         random functions will error. Default: 'error'. WARNING: this flag
2025-09-07T06:38:41.6699160Z         only applies to random PyTorch operations and does not apply to
2025-09-07T06:38:41.6699430Z         Python's random module or numpy randomness.
2025-09-07T06:38:41.6699770Z     chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-09-07T06:38:41.6700120Z         If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-09-07T06:38:41.6700480Z         Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-09-07T06:38:41.6700870Z         If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-09-07T06:38:41.6701100Z 
2025-09-07T06:38:41.6701140Z Returns:
2025-09-07T06:38:41.6701330Z     Returns a new "batched" function. It takes the same inputs as
2025-09-07T06:38:41.6701620Z     ``func``, except each input has an extra dimension at the index
2025-09-07T06:38:41.6701920Z     specified by ``in_dims``. It takes returns the same outputs as
2025-09-07T06:38:41.6702210Z     ``func``, except each output has an extra dimension at the index
2025-09-07T06:38:41.6702450Z     specified by ``out_dims``.
2025-09-07T06:38:41.6702560Z 
2025-09-07T06:38:41.6702610Z .. warning:
2025-09-07T06:38:41.6702810Z     :func:`vmap` works best with functional-style code. Please do not
2025-09-07T06:38:41.6703150Z     perform any side-effects in ``func``, with the exception of
2025-09-07T06:38:41.6703480Z     in-place PyTorch operations. Examples of side-effects include mutating
2025-09-07T06:38:41.6703820Z     Python data structures and assigning values to variables not captured
2025-09-07T06:38:41.6704060Z     in ``func``.
2025-09-07T06:38:41.6704150Z 
2025-09-07T06:38:41.6704290Z One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-09-07T06:38:41.6704640Z doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-09-07T06:38:41.6704970Z rummaging through docs, use :func:`vmap` to construct a new function.
2025-09-07T06:38:41.6705170Z 
2025-09-07T06:38:41.6705220Z     >>> torch.dot  # [D], [D] -> []
2025-09-07T06:38:41.6705470Z     >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-09-07T06:38:41.6705730Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-09-07T06:38:41.6705940Z     >>> batched_dot(x, y)
2025-09-07T06:38:41.6706050Z 
2025-09-07T06:38:41.6706220Z :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-09-07T06:38:41.6706500Z model authoring experience.
2025-09-07T06:38:41.6706620Z 
2025-09-07T06:38:41.6706680Z     >>> batch_size, feature_size = 3, 5
2025-09-07T06:38:41.6706920Z     >>> weights = torch.randn(feature_size, requires_grad=True)
2025-09-07T06:38:41.6707150Z     >>>
2025-09-07T06:38:41.6707420Z     >>> def model(feature_vec):
2025-09-07T06:38:41.6707630Z     >>> # Very simple linear model with activation
2025-09-07T06:38:41.6707860Z     >>>     return feature_vec.dot(weights).relu()
2025-09-07T06:38:41.6708040Z     >>>
2025-09-07T06:38:41.6708190Z     >>> examples = torch.randn(batch_size, feature_size)
2025-09-07T06:38:41.6708420Z     >>> result = torch.vmap(model)(examples)
2025-09-07T06:38:41.6708570Z 
2025-09-07T06:38:41.6708720Z :func:`vmap` can also help vectorize computations that were previously difficult
2025-09-07T06:38:41.6709150Z or impossible to batch. One example is higher-order gradient computation.
2025-09-07T06:38:41.6709530Z The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-09-07T06:38:41.6716060Z Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-09-07T06:38:41.6716420Z requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-09-07T06:38:41.6716780Z we can vectorize the whole computation, computing the Jacobian in a single
2025-09-07T06:38:41.6717050Z call to ``autograd.grad``.
2025-09-07T06:38:41.6717160Z 
2025-09-07T06:38:41.6717210Z     >>> # Setup
2025-09-07T06:38:41.6717330Z     >>> N = 5
2025-09-07T06:38:41.6717450Z     >>> f = lambda x: x**2
2025-09-07T06:38:41.6717620Z     >>> x = torch.randn(N, requires_grad=True)
2025-09-07T06:38:41.6717810Z     >>> y = f(x)
2025-09-07T06:38:41.6717940Z     >>> I_N = torch.eye(N)
2025-09-07T06:38:41.6718080Z     >>>
2025-09-07T06:38:41.6718200Z     >>> # Sequential approach
2025-09-07T06:38:41.6718550Z     >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-09-07T06:38:41.6718820Z     >>>                  for v in I_N.unbind()]
2025-09-07T06:38:41.6719030Z     >>> jacobian = torch.stack(jacobian_rows)
2025-09-07T06:38:41.6719210Z     >>>
2025-09-07T06:38:41.6719340Z     >>> # vectorized gradient computation
2025-09-07T06:38:41.6719520Z     >>> def get_vjp(v):
2025-09-07T06:38:41.6719690Z     >>>     return torch.autograd.grad(y, x, v)
2025-09-07T06:38:41.6719890Z     >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-09-07T06:38:41.6720030Z 
2025-09-07T06:38:41.6720200Z :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-09-07T06:38:41.6720430Z 
2025-09-07T06:38:41.6720480Z     >>> torch.dot  # [D], [D] -> []
2025-09-07T06:38:41.6720670Z     >>> batched_dot = torch.vmap(
2025-09-07T06:38:41.6720850Z     ...     torch.vmap(torch.dot)
2025-09-07T06:38:41.6721030Z     ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-09-07T06:38:41.6721290Z     >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-09-07T06:38:41.6721520Z     >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-09-07T06:38:41.6721670Z 
2025-09-07T06:38:41.6721810Z If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-09-07T06:38:41.6722110Z the dimension that each inputs are batched along as
2025-09-07T06:38:41.6722270Z 
2025-09-07T06:38:41.6722330Z     >>> torch.dot  # [N], [N] -> []
2025-09-07T06:38:41.6722590Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-09-07T06:38:41.6722870Z     >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-09-07T06:38:41.6723060Z     >>> batched_dot(
2025-09-07T06:38:41.6723190Z     ...     x, y
2025-09-07T06:38:41.6723390Z     ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-09-07T06:38:41.6723580Z 
2025-09-07T06:38:41.6723740Z If there are multiple inputs each of which is batched along different dimensions,
2025-09-07T06:38:41.6724090Z ``in_dims`` must be a tuple with the batch dimension for each input as
2025-09-07T06:38:41.6724320Z 
2025-09-07T06:38:41.6724380Z     >>> torch.dot  # [D], [D] -> []
2025-09-07T06:38:41.6724670Z     >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-09-07T06:38:41.6724950Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-09-07T06:38:41.6725130Z     >>> batched_dot(
2025-09-07T06:38:41.6725270Z     ...     x, y
2025-09-07T06:38:41.6725510Z     ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-09-07T06:38:41.6725710Z 
2025-09-07T06:38:41.6725850Z If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-09-07T06:38:41.6726130Z matching the shape of the input:
2025-09-07T06:38:41.6726250Z 
2025-09-07T06:38:41.6726340Z     >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-09-07T06:38:41.6726570Z     >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-09-07T06:38:41.6726760Z     >>> input = {"x": x, "y": y}
2025-09-07T06:38:41.6726990Z     >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-09-07T06:38:41.6727220Z     >>> batched_dot(input)
2025-09-07T06:38:41.6727320Z 
2025-09-07T06:38:41.6727490Z By default, the output is batched along the first dimension. However, it can be batched
2025-09-07T06:38:41.6727790Z along any dimension by using ``out_dims``
2025-09-07T06:38:41.6727920Z 
2025-09-07T06:38:41.6727970Z     >>> f = lambda x: x**2
2025-09-07T06:38:41.6728130Z     >>> x = torch.randn(2, 5)
2025-09-07T06:38:41.6728320Z     >>> batched_pow = torch.vmap(f, out_dims=1)
2025-09-07T06:38:41.6728520Z     >>> batched_pow(x)  # [5, 2]
2025-09-07T06:38:41.6728640Z 
2025-09-07T06:38:41.6728810Z For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-09-07T06:38:41.6729090Z accept kwargs
2025-09-07T06:38:41.6729170Z 
2025-09-07T06:38:41.6729230Z     >>> x = torch.randn([2, 5])
2025-09-07T06:38:41.6729400Z     >>> def fn(x, scale=4.):
2025-09-07T06:38:41.6729590Z     >>>   return x * scale
2025-09-07T06:38:41.6729740Z     >>>
2025-09-07T06:38:41.6729860Z     >>> batched_pow = torch.vmap(fn)
2025-09-07T06:38:41.6730070Z     >>> assert torch.allclose(batched_pow(x), x * 4)
2025-09-07T06:38:41.6730360Z     >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-09-07T06:38:41.6730570Z 
2025-09-07T06:38:41.6730610Z .. note::
2025-09-07T06:38:41.6730900Z     vmap does not provide general autobatching or handle variable-length
2025-09-07T06:38:41.6731160Z     sequences out of the box.
2025-09-07T06:38:41.6731270Z 
2025-09-07T06:38:41.6731430Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.6731650Z 
2025-09-07T06:38:41.6732010Z msg = Cannot scrape callname=grad in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/apis.py line=306.
2025-09-07T06:38:41.6732580Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.6732990Z ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-09-07T06:38:41.6733330Z     input(s) specified by ``argnums``. This operator can be nested to
2025-09-07T06:38:41.6733590Z     compute higher-order gradients.
2025-09-07T06:38:41.6733720Z 
2025-09-07T06:38:41.6733760Z     Args:
2025-09-07T06:38:41.6733950Z         func (Callable): A Python function that takes one or more arguments.
2025-09-07T06:38:41.6734310Z             Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-09-07T06:38:41.6734710Z             function can return a tuple of single-element Tensor and other auxiliary objects:
2025-09-07T06:38:41.6735000Z             ``(output, aux)``.
2025-09-07T06:38:41.6735280Z         argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-09-07T06:38:41.6735640Z             ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-09-07T06:38:41.6735970Z         has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-09-07T06:38:41.6736300Z             auxiliary objects: ``(output, aux)``. Default: False.
2025-09-07T06:38:41.6736460Z 
2025-09-07T06:38:41.6736510Z     Returns:
2025-09-07T06:38:41.6736750Z         Function to compute gradients with respect to its inputs. By default, the output of
2025-09-07T06:38:41.6737130Z         the function is the gradient tensor(s) with respect to the first argument.
2025-09-07T06:38:41.6737520Z         If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-09-07T06:38:41.6737910Z         is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-09-07T06:38:41.6738220Z         respect to each ``argnums`` value is returned.
2025-09-07T06:38:41.6738370Z 
2025-09-07T06:38:41.6738430Z     Example of using ``grad``:
2025-09-07T06:38:41.6738550Z 
2025-09-07T06:38:41.6738600Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:41.6738770Z         >>> from torch.func import grad
2025-09-07T06:38:41.6738960Z         >>> x = torch.randn([])
2025-09-07T06:38:41.6739150Z         >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-09-07T06:38:41.6739370Z         >>> assert torch.allclose(cos_x, x.cos())
2025-09-07T06:38:41.6739560Z         >>>
2025-09-07T06:38:41.6739690Z         >>> # Second-order gradients
2025-09-07T06:38:41.6739900Z         >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-09-07T06:38:41.6740140Z         >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-09-07T06:38:41.6740300Z 
2025-09-07T06:38:41.6740450Z     When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-09-07T06:38:41.6740670Z 
2025-09-07T06:38:41.6740730Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:41.6740910Z         >>> from torch.func import grad, vmap
2025-09-07T06:38:41.6741110Z         >>> batch_size, feature_size = 3, 5
2025-09-07T06:38:41.6741280Z         >>>
2025-09-07T06:38:41.6741410Z         >>> def model(weights, feature_vec):
2025-09-07T06:38:41.6741670Z         >>> # Very simple linear model with activation
2025-09-07T06:38:41.6741890Z         >>>     assert feature_vec.dim() == 1
2025-09-07T06:38:41.6742090Z         >>>     return feature_vec.dot(weights).relu()
2025-09-07T06:38:41.6742280Z         >>>
2025-09-07T06:38:41.6742430Z         >>> def compute_loss(weights, example, target):
2025-09-07T06:38:41.6742630Z         >>>     y = model(weights, example)
2025-09-07T06:38:41.6742850Z         >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-09-07T06:38:41.6743040Z         >>>
2025-09-07T06:38:41.6743210Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-09-07T06:38:41.6743480Z         >>> examples = torch.randn(batch_size, feature_size)
2025-09-07T06:38:41.6743710Z         >>> targets = torch.randn(batch_size)
2025-09-07T06:38:41.6743920Z         >>> inputs = (weights, examples, targets)
2025-09-07T06:38:41.6744200Z         >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-09-07T06:38:41.6744530Z         ...     *inputs
2025-09-07T06:38:41.6744660Z         ... )
2025-09-07T06:38:41.6744740Z 
2025-09-07T06:38:41.6744850Z     Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-09-07T06:38:41.6745020Z 
2025-09-07T06:38:41.6745080Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:41.6745250Z         >>> from torch.func import grad
2025-09-07T06:38:41.6745440Z         >>> def my_loss_func(y, y_pred):
2025-09-07T06:38:41.6745650Z         >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-09-07T06:38:41.6745860Z         >>>    loss = loss_per_sample.mean()
2025-09-07T06:38:41.6746070Z         >>>    return loss, (y_pred, loss_per_sample)
2025-09-07T06:38:41.6746250Z         >>>
2025-09-07T06:38:41.6746420Z         >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-09-07T06:38:41.6746630Z         >>> y_true = torch.rand(4)
2025-09-07T06:38:41.6746830Z         >>> y_preds = torch.rand(4, requires_grad=True)
2025-09-07T06:38:41.6747030Z         >>> out = fn(y_true, y_preds)
2025-09-07T06:38:41.6747310Z         >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-09-07T06:38:41.6747570Z 
2025-09-07T06:38:41.6747610Z     .. note::
2025-09-07T06:38:41.6747800Z         Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-09-07T06:38:41.6747970Z 
2025-09-07T06:38:41.6748060Z         Case 1: Using ``torch.no_grad`` inside a function:
2025-09-07T06:38:41.6748210Z 
2025-09-07T06:38:41.6748290Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:41.6748460Z             >>> def f(x):
2025-09-07T06:38:41.6748610Z             >>>     with torch.no_grad():
2025-09-07T06:38:41.6748790Z             >>>         c = x ** 2
2025-09-07T06:38:41.6748950Z             >>>     return x - c
2025-09-07T06:38:41.6749070Z 
2025-09-07T06:38:41.6749190Z         In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-09-07T06:38:41.6749380Z 
2025-09-07T06:38:41.6749500Z         Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-09-07T06:38:41.6749680Z 
2025-09-07T06:38:41.6749730Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:41.6749910Z             >>> with torch.no_grad():
2025-09-07T06:38:41.6750080Z             >>>     grad(f)(x)
2025-09-07T06:38:41.6750190Z 
2025-09-07T06:38:41.6750330Z         In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-09-07T06:38:41.6750670Z         outer one. This is because ``grad`` is a "function transform": its result
2025-09-07T06:38:41.6751000Z         should not depend on the result of a context manager outside of ``f``.
2025-09-07T06:38:41.6751200Z 
2025-09-07T06:38:41.6751240Z     
2025-09-07T06:38:41.6751450Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.6751670Z 
2025-09-07T06:38:41.6752100Z msg = Cannot scrape callname=print_assert_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=286.
2025-09-07T06:38:41.6752760Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.6752990Z 
2025-09-07T06:38:41.6753120Z Test if two objects are equal, and print an error message if test fails.
2025-09-07T06:38:41.6753320Z 
2025-09-07T06:38:41.6753410Z The test is performed with ``actual == desired``.
2025-09-07T06:38:41.6753560Z 
2025-09-07T06:38:41.6753610Z Parameters
2025-09-07T06:38:41.6753720Z ----------
2025-09-07T06:38:41.6753830Z test_string : str
2025-09-07T06:38:41.6753990Z     The message supplied to AssertionError.
2025-09-07T06:38:41.6754170Z actual : object
2025-09-07T06:38:41.6754340Z     The object to test for equality against `desired`.
2025-09-07T06:38:41.6754540Z desired : object
2025-09-07T06:38:41.6754680Z     The expected result.
2025-09-07T06:38:41.6754780Z 
2025-09-07T06:38:41.6754820Z Examples
2025-09-07T06:38:41.6754930Z --------
2025-09-07T06:38:41.6755050Z >>> np.testing.print_assert_equal(
2025-09-07T06:38:41.6755240Z ...     "Test XYZ of func xyz", [0, 1], [0, 1]
2025-09-07T06:38:41.6755490Z ... )  # doctest: +SKIP
2025-09-07T06:38:41.6755650Z >>> np.testing.print_assert_equal(
2025-09-07T06:38:41.6755840Z ...     "Test XYZ of func xyz", [0, 1], [0, 2]
2025-09-07T06:38:41.6756020Z ... )  # doctest: +SKIP
2025-09-07T06:38:41.6756170Z Traceback (most recent call last):
2025-09-07T06:38:41.6756340Z ...
2025-09-07T06:38:41.6756470Z AssertionError: Test XYZ of func xyz failed
2025-09-07T06:38:41.6756650Z ACTUAL:
2025-09-07T06:38:41.6756760Z [0, 1]
2025-09-07T06:38:41.6756860Z DESIRED:
2025-09-07T06:38:41.6756960Z [0, 2]
2025-09-07T06:38:41.6757030Z 
2025-09-07T06:38:41.6757030Z 
2025-09-07T06:38:41.6757180Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.6757400Z 
2025-09-07T06:38:41.6757800Z msg = Cannot scrape callname=assert_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=331.
2025-09-07T06:38:41.6758410Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.6758680Z 
2025-09-07T06:38:41.6758800Z Raises an AssertionError if two items are not equal up to desired
2025-09-07T06:38:41.6759030Z precision.
2025-09-07T06:38:41.6759100Z 
2025-09-07T06:38:41.6759210Z .. note:: It is recommended to use one of `assert_allclose`,
2025-09-07T06:38:41.6759490Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-09-07T06:38:41.6759830Z           instead of this function for more consistent floating point
2025-09-07T06:38:41.6760060Z           comparisons.
2025-09-07T06:38:41.6760150Z 
2025-09-07T06:38:41.6760290Z The test verifies that the elements of `actual` and `desired` satisfy.
2025-09-07T06:38:41.6760480Z 
2025-09-07T06:38:41.6760580Z     ``abs(desired-actual) < float64(1.5 * 10**(-decimal))``
2025-09-07T06:38:41.6760740Z 
2025-09-07T06:38:41.6760880Z That is a looser test than originally documented, but agrees with what the
2025-09-07T06:38:41.6761230Z actual implementation in `assert_array_almost_equal` did up to rounding
2025-09-07T06:38:41.6761580Z vagaries. An exception is raised at conflicting values. For ndarrays this
2025-09-07T06:38:41.6761850Z delegates to assert_array_almost_equal
2025-09-07T06:38:41.6761980Z 
2025-09-07T06:38:41.6762030Z Parameters
2025-09-07T06:38:41.6762140Z ----------
2025-09-07T06:38:41.6762250Z actual : array_like
2025-09-07T06:38:41.6762390Z     The object to check.
2025-09-07T06:38:41.6762540Z desired : array_like
2025-09-07T06:38:41.6762680Z     The expected object.
2025-09-07T06:38:41.6762820Z decimal : int, optional
2025-09-07T06:38:41.6762980Z     Desired precision, default is 7.
2025-09-07T06:38:41.6763160Z err_msg : str, optional
2025-09-07T06:38:41.6763340Z     The error message to be printed in case of failure.
2025-09-07T06:38:41.6763550Z verbose : bool, optional
2025-09-07T06:38:41.6763780Z     If True, the conflicting values are appended to the error message.
2025-09-07T06:38:41.6763960Z 
2025-09-07T06:38:41.6764070Z Raises
2025-09-07T06:38:41.6764180Z ------
2025-09-07T06:38:41.6764290Z AssertionError
2025-09-07T06:38:41.6764480Z   If actual and desired are not equal up to specified precision.
2025-09-07T06:38:41.6764670Z 
2025-09-07T06:38:41.6764710Z See Also
2025-09-07T06:38:41.6764810Z --------
2025-09-07T06:38:41.6765020Z assert_allclose: Compare two array_like objects for equality with desired
2025-09-07T06:38:41.6765300Z                  relative and/or absolute precision.
2025-09-07T06:38:41.6765580Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-09-07T06:38:41.6765770Z 
2025-09-07T06:38:41.6765810Z Examples
2025-09-07T06:38:41.6765920Z --------
2025-09-07T06:38:41.6766080Z >>> from torch._numpy.testing import assert_almost_equal
2025-09-07T06:38:41.6766320Z >>> assert_almost_equal(2.3333333333333, 2.33333334)
2025-09-07T06:38:41.6766570Z >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10)
2025-09-07T06:38:41.6766800Z Traceback (most recent call last):
2025-09-07T06:38:41.6767000Z     ...
2025-09-07T06:38:41.6767120Z AssertionError:
2025-09-07T06:38:41.6767270Z Arrays are not almost equal to 10 decimals
2025-09-07T06:38:41.6767460Z  ACTUAL: 2.3333333333333
2025-09-07T06:38:41.6767600Z  DESIRED: 2.33333334
2025-09-07T06:38:41.6767690Z 
2025-09-07T06:38:41.6767740Z >>> assert_almost_equal(
2025-09-07T06:38:41.6767960Z ...     np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9
2025-09-07T06:38:41.6768190Z ... )
2025-09-07T06:38:41.6768310Z Traceback (most recent call last):
2025-09-07T06:38:41.6768470Z     ...
2025-09-07T06:38:41.6768580Z AssertionError:
2025-09-07T06:38:41.6768720Z Arrays are not almost equal to 9 decimals
2025-09-07T06:38:41.6768900Z <BLANKLINE>
2025-09-07T06:38:41.6769030Z Mismatched elements: 1 / 2 (50%)
2025-09-07T06:38:41.6769220Z Max absolute difference: 6.666699636781459e-09
2025-09-07T06:38:41.6769440Z Max relative difference: 2.8571569790287484e-09
2025-09-07T06:38:41.6769660Z  x: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-09-07T06:38:41.6769880Z  y: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-09-07T06:38:41.6770070Z 
2025-09-07T06:38:41.6770070Z 
2025-09-07T06:38:41.6770220Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.6770430Z 
2025-09-07T06:38:41.6770830Z msg = Cannot scrape callname=assert_approx_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=457.
2025-09-07T06:38:41.6771480Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.6771710Z 
2025-09-07T06:38:41.6771920Z Raises an AssertionError if two items are not equal up to significant
2025-09-07T06:38:41.6772160Z digits.
2025-09-07T06:38:41.6772230Z 
2025-09-07T06:38:41.6772330Z .. note:: It is recommended to use one of `assert_allclose`,
2025-09-07T06:38:41.6772610Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-09-07T06:38:41.6772900Z           instead of this function for more consistent floating point
2025-09-07T06:38:41.6773130Z           comparisons.
2025-09-07T06:38:41.6773220Z 
2025-09-07T06:38:41.6773330Z Given two numbers, check that they are approximately equal.
2025-09-07T06:38:41.6773640Z Approximately equal is defined as the number of significant digits
2025-09-07T06:38:41.6773880Z that agree.
2025-09-07T06:38:41.6773950Z 
2025-09-07T06:38:41.6774000Z Parameters
2025-09-07T06:38:41.6774100Z ----------
2025-09-07T06:38:41.6774210Z actual : scalar
2025-09-07T06:38:41.6774340Z     The object to check.
2025-09-07T06:38:41.6774490Z desired : scalar
2025-09-07T06:38:41.6774620Z     The expected object.
2025-09-07T06:38:41.6774770Z significant : int, optional
2025-09-07T06:38:41.6774940Z     Desired precision, default is 7.
2025-09-07T06:38:41.6775110Z err_msg : str, optional
2025-09-07T06:38:41.6775360Z     The error message to be printed in case of failure.
2025-09-07T06:38:41.6775620Z verbose : bool, optional
2025-09-07T06:38:41.6775990Z     If True, the conflicting values are appended to the error message.
2025-09-07T06:38:41.6776190Z 
2025-09-07T06:38:41.6776250Z Raises
2025-09-07T06:38:41.6781300Z ------
2025-09-07T06:38:41.6781420Z AssertionError
2025-09-07T06:38:41.6781620Z   If actual and desired are not equal up to specified precision.
2025-09-07T06:38:41.6781800Z 
2025-09-07T06:38:41.6781850Z See Also
2025-09-07T06:38:41.6781950Z --------
2025-09-07T06:38:41.6782160Z assert_allclose: Compare two array_like objects for equality with desired
2025-09-07T06:38:41.6782450Z                  relative and/or absolute precision.
2025-09-07T06:38:41.6782720Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-09-07T06:38:41.6782910Z 
2025-09-07T06:38:41.6782950Z Examples
2025-09-07T06:38:41.6783060Z --------
2025-09-07T06:38:41.6783190Z >>> np.testing.assert_approx_equal(
2025-09-07T06:38:41.6783380Z ...     0.12345677777777e-20, 0.1234567e-20
2025-09-07T06:38:41.6783550Z ... )  # doctest: +SKIP
2025-09-07T06:38:41.6783830Z >>> np.testing.assert_approx_equal(
2025-09-07T06:38:41.6784000Z ...     0.12345670e-20,
2025-09-07T06:38:41.6784150Z ...     0.12345671e-20,  # doctest: +SKIP
2025-09-07T06:38:41.6784330Z ...     significant=8,
2025-09-07T06:38:41.6784460Z ... )
2025-09-07T06:38:41.6784590Z >>> np.testing.assert_approx_equal(
2025-09-07T06:38:41.6784760Z ...     0.12345670e-20,
2025-09-07T06:38:41.6784910Z ...     0.12345672e-20,  # doctest: +SKIP
2025-09-07T06:38:41.6785080Z ...     significant=8,
2025-09-07T06:38:41.6785210Z ... )
2025-09-07T06:38:41.6785330Z Traceback (most recent call last):
2025-09-07T06:38:41.6785490Z     ...
2025-09-07T06:38:41.6785600Z AssertionError:
2025-09-07T06:38:41.6785760Z Items are not equal to 8 significant digits:
2025-09-07T06:38:41.6785940Z  ACTUAL: 1.234567e-21
2025-09-07T06:38:41.6786080Z  DESIRED: 1.2345672e-21
2025-09-07T06:38:41.6786180Z 
2025-09-07T06:38:41.6786280Z the evaluated condition that raises the exception is
2025-09-07T06:38:41.6786440Z 
2025-09-07T06:38:41.6786570Z >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1)
2025-09-07T06:38:41.6786860Z True
2025-09-07T06:38:41.6786920Z 
2025-09-07T06:38:41.6786920Z 
2025-09-07T06:38:41.6787080Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.8406730Z 
2025-09-07T06:38:41.8407670Z msg = Cannot scrape callname=assert_array_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=744.
2025-09-07T06:38:41.8408390Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.8408640Z 
2025-09-07T06:38:41.8408780Z Raises an AssertionError if two array_like objects are not equal.
2025-09-07T06:38:41.8408980Z 
2025-09-07T06:38:41.8409120Z Given two array_like objects, check that the shape is equal and all
2025-09-07T06:38:41.8409460Z elements of these objects are equal (but see the Notes for the special
2025-09-07T06:38:41.8409810Z handling of a scalar). An exception is raised at shape mismatch or
2025-09-07T06:38:41.8410150Z conflicting values. In contrast to the standard usage in numpy, NaNs
2025-09-07T06:38:41.8410500Z are compared like numbers, no assertion is raised if both objects have
2025-09-07T06:38:41.8410770Z NaNs in the same positions.
2025-09-07T06:38:41.8410880Z 
2025-09-07T06:38:41.8411030Z The usual caution for verifying equality with floating point numbers is
2025-09-07T06:38:41.8411280Z advised.
2025-09-07T06:38:41.8411360Z 
2025-09-07T06:38:41.8411410Z Parameters
2025-09-07T06:38:41.8411520Z ----------
2025-09-07T06:38:41.8411640Z x : array_like
2025-09-07T06:38:41.8411780Z     The actual object to check.
2025-09-07T06:38:41.8411940Z y : array_like
2025-09-07T06:38:41.8412080Z     The desired, expected object.
2025-09-07T06:38:41.8412250Z err_msg : str, optional
2025-09-07T06:38:41.8412450Z     The error message to be printed in case of failure.
2025-09-07T06:38:41.8412660Z verbose : bool, optional
2025-09-07T06:38:41.8413010Z     If True, the conflicting values are appended to the error message.
2025-09-07T06:38:41.8413260Z strict : bool, optional
2025-09-07T06:38:41.8413480Z     If True, raise an AssertionError when either the shape or the data
2025-09-07T06:38:41.8413780Z     type of the array_like objects does not match. The special
2025-09-07T06:38:41.8414080Z     handling for scalars mentioned in the Notes section is disabled.
2025-09-07T06:38:41.8414270Z 
2025-09-07T06:38:41.8414310Z Raises
2025-09-07T06:38:41.8414420Z ------
2025-09-07T06:38:41.8414530Z AssertionError
2025-09-07T06:38:41.8414680Z     If actual and desired objects are not equal.
2025-09-07T06:38:41.8414830Z 
2025-09-07T06:38:41.8414870Z See Also
2025-09-07T06:38:41.8414970Z --------
2025-09-07T06:38:41.8415180Z assert_allclose: Compare two array_like objects for equality with desired
2025-09-07T06:38:41.8415460Z                  relative and/or absolute precision.
2025-09-07T06:38:41.8415740Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-09-07T06:38:41.8416050Z 
2025-09-07T06:38:41.8416100Z Notes
2025-09-07T06:38:41.8416200Z -----
2025-09-07T06:38:41.8416380Z When one of `x` and `y` is a scalar and the other is array_like, the
2025-09-07T06:38:41.8416700Z function checks that each element of the array_like object is equal to
2025-09-07T06:38:41.8417040Z the scalar. This behaviour can be disabled with the `strict` parameter.
2025-09-07T06:38:41.8417250Z 
2025-09-07T06:38:41.8417290Z Examples
2025-09-07T06:38:41.8417400Z --------
2025-09-07T06:38:41.8417540Z The first assert does not raise an exception:
2025-09-07T06:38:41.8417690Z 
2025-09-07T06:38:41.8417750Z >>> np.testing.assert_array_equal(
2025-09-07T06:38:41.8417850Z ...     [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan]
2025-09-07T06:38:41.8417890Z ... )
2025-09-07T06:38:41.8417890Z 
2025-09-07T06:38:41.8418030Z Use `assert_allclose` or one of the nulp (number of floating point values)
2025-09-07T06:38:41.8418090Z functions for these cases instead:
2025-09-07T06:38:41.8418090Z 
2025-09-07T06:38:41.8418160Z >>> np.testing.assert_allclose(
2025-09-07T06:38:41.8418280Z ...     [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0
2025-09-07T06:38:41.8418390Z ... )
2025-09-07T06:38:41.8418390Z 
2025-09-07T06:38:41.8418520Z As mentioned in the Notes section, `assert_array_equal` has special
2025-09-07T06:38:41.8418660Z handling for scalars. Here the test checks that each value in `x` is 3:
2025-09-07T06:38:41.8418660Z 
2025-09-07T06:38:41.8418740Z >>> x = np.full((2, 5), fill_value=3)
2025-09-07T06:38:41.8418810Z >>> np.testing.assert_array_equal(x, 3)
2025-09-07T06:38:41.8418810Z 
2025-09-07T06:38:41.8418940Z Use `strict` to raise an AssertionError when comparing a scalar with an
2025-09-07T06:38:41.8418990Z array:
2025-09-07T06:38:41.8418990Z 
2025-09-07T06:38:41.8419080Z >>> np.testing.assert_array_equal(x, 3, strict=True)
2025-09-07T06:38:41.8419140Z Traceback (most recent call last):
2025-09-07T06:38:41.8419180Z     ...
2025-09-07T06:38:41.8419240Z AssertionError:
2025-09-07T06:38:41.8419290Z Arrays are not equal
2025-09-07T06:38:41.8419330Z <BLANKLINE>
2025-09-07T06:38:41.8419390Z (shapes (2, 5), () mismatch)
2025-09-07T06:38:41.8419450Z  x: torch.ndarray([[3, 3, 3, 3, 3],
2025-09-07T06:38:41.8419500Z         [3, 3, 3, 3, 3]])
2025-09-07T06:38:41.8419550Z  y: torch.ndarray(3)
2025-09-07T06:38:41.8419550Z 
2025-09-07T06:38:41.8419680Z The `strict` parameter also ensures that the array data types match:
2025-09-07T06:38:41.8419680Z 
2025-09-07T06:38:41.8419730Z >>> x = np.array([2, 2, 2])
2025-09-07T06:38:41.8419820Z >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32)
2025-09-07T06:38:41.8419900Z >>> np.testing.assert_array_equal(x, y, strict=True)
2025-09-07T06:38:41.8419970Z Traceback (most recent call last):
2025-09-07T06:38:41.8420010Z     ...
2025-09-07T06:38:41.8420060Z AssertionError:
2025-09-07T06:38:41.8420110Z Arrays are not equal
2025-09-07T06:38:41.8420150Z <BLANKLINE>
2025-09-07T06:38:41.8420240Z (dtypes dtype("int64"), dtype("float32") mismatch)
2025-09-07T06:38:41.8420350Z  x: torch.ndarray([2, 2, 2])
2025-09-07T06:38:41.8420410Z  y: torch.ndarray([2., 2., 2.])
2025-09-07T06:38:41.8420410Z 
2025-09-07T06:38:41.8420560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.8420570Z 
2025-09-07T06:38:41.8420990Z msg = Cannot scrape callname=assert_array_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=851.
2025-09-07T06:38:41.8421150Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.8421150Z 
2025-09-07T06:38:41.8421280Z Raises an AssertionError if two objects are not equal up to desired
2025-09-07T06:38:41.8421330Z precision.
2025-09-07T06:38:41.8421330Z 
2025-09-07T06:38:41.8421450Z .. note:: It is recommended to use one of `assert_allclose`,
2025-09-07T06:38:41.8421560Z           `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-09-07T06:38:41.8421680Z           instead of this function for more consistent floating point
2025-09-07T06:38:41.8421760Z           comparisons.
2025-09-07T06:38:41.8421760Z 
2025-09-07T06:38:41.8421910Z The test verifies identical shapes and that the elements of ``actual`` and
2025-09-07T06:38:41.8421960Z ``desired`` satisfy.
2025-09-07T06:38:41.8421960Z 
2025-09-07T06:38:41.8422050Z     ``abs(desired-actual) < 1.5 * 10**(-decimal)``
2025-09-07T06:38:41.8422050Z 
2025-09-07T06:38:41.8422190Z That is a looser test than originally documented, but agrees with what the
2025-09-07T06:38:41.8422380Z actual implementation did up to rounding vagaries. An exception is raised
2025-09-07T06:38:41.8422520Z at shape mismatch or conflicting values. In contrast to the standard usage
2025-09-07T06:38:41.8422660Z in numpy, NaNs are compared like numbers, no assertion is raised if both
2025-09-07T06:38:41.8422730Z objects have NaNs in the same positions.
2025-09-07T06:38:41.8422730Z 
2025-09-07T06:38:41.8422780Z Parameters
2025-09-07T06:38:41.8422820Z ----------
2025-09-07T06:38:41.8422870Z x : array_like
2025-09-07T06:38:41.8422920Z     The actual object to check.
2025-09-07T06:38:41.8422990Z y : array_like
2025-09-07T06:38:41.8423050Z     The desired, expected object.
2025-09-07T06:38:41.8423100Z decimal : int, optional
2025-09-07T06:38:41.8423170Z     Desired precision, default is 6.
2025-09-07T06:38:41.8423220Z err_msg : str, optional
2025-09-07T06:38:41.8423310Z   The error message to be printed in case of failure.
2025-09-07T06:38:41.8423390Z verbose : bool, optional
2025-09-07T06:38:41.8423520Z     If True, the conflicting values are appended to the error message.
2025-09-07T06:38:41.8423520Z 
2025-09-07T06:38:41.8423570Z Raises
2025-09-07T06:38:41.8423610Z ------
2025-09-07T06:38:41.8423650Z AssertionError
2025-09-07T06:38:41.8423770Z     If actual and desired are not equal up to specified precision.
2025-09-07T06:38:41.8423780Z 
2025-09-07T06:38:41.8423820Z See Also
2025-09-07T06:38:41.8423860Z --------
2025-09-07T06:38:41.8424000Z assert_allclose: Compare two array_like objects for equality with desired
2025-09-07T06:38:41.8424090Z                  relative and/or absolute precision.
2025-09-07T06:38:41.8424210Z assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-09-07T06:38:41.8424210Z 
2025-09-07T06:38:41.8424260Z Examples
2025-09-07T06:38:41.8424300Z --------
2025-09-07T06:38:41.8424380Z the first assert does not raise an exception
2025-09-07T06:38:41.8424380Z 
2025-09-07T06:38:41.8424540Z >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan])
2025-09-07T06:38:41.8424540Z 
2025-09-07T06:38:41.8424610Z >>> np.testing.assert_array_almost_equal(
2025-09-07T06:38:41.8424710Z ...     [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5
2025-09-07T06:38:41.8424750Z ... )
2025-09-07T06:38:41.8424810Z Traceback (most recent call last):
2025-09-07T06:38:41.8424850Z     ...
2025-09-07T06:38:41.8424900Z AssertionError:
2025-09-07T06:38:41.8424970Z Arrays are not almost equal to 5 decimals
2025-09-07T06:38:41.8425050Z <BLANKLINE>
2025-09-07T06:38:41.8425110Z Mismatched elements: 1 / 3 (33.3%)
2025-09-07T06:38:41.8425190Z Max absolute difference: 5.999999999994898e-05
2025-09-07T06:38:41.8425260Z Max relative difference: 2.5713661239633743e-05
2025-09-07T06:38:41.8425370Z  x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-09-07T06:38:41.8425460Z  y: torch.ndarray([1.0000, 2.3334,    nan], dtype=float64)
2025-09-07T06:38:41.8425460Z 
2025-09-07T06:38:41.8425530Z >>> np.testing.assert_array_almost_equal(
2025-09-07T06:38:41.8425620Z ...     [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5
2025-09-07T06:38:41.8425660Z ... )
2025-09-07T06:38:41.8425720Z Traceback (most recent call last):
2025-09-07T06:38:41.8425760Z     ...
2025-09-07T06:38:41.8425810Z AssertionError:
2025-09-07T06:38:41.8425870Z Arrays are not almost equal to 5 decimals
2025-09-07T06:38:41.8425920Z <BLANKLINE>
2025-09-07T06:38:41.8425970Z x and y nan location mismatch:
2025-09-07T06:38:41.8426070Z  x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-09-07T06:38:41.8426200Z  y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64)
2025-09-07T06:38:41.8426200Z 
2025-09-07T06:38:41.8426200Z 
2025-09-07T06:38:41.8426360Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.8426360Z 
2025-09-07T06:38:41.8426770Z msg = Cannot scrape callname=clear_and_catch_warnings in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1848.
2025-09-07T06:38:41.8426940Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.8427070Z Context manager that resets warning registry for catching warnings
2025-09-07T06:38:41.8427070Z 
2025-09-07T06:38:41.8427220Z     Warnings can be slippery, because, whenever a warning is triggered, Python
2025-09-07T06:38:41.8427350Z     adds a ``__warningregistry__`` member to the *calling* module.  This makes
2025-09-07T06:38:41.8427500Z     it impossible to retrigger the warning in this module, whatever you put in
2025-09-07T06:38:41.8427650Z     the warnings filters.  This context manager accepts a sequence of `modules`
2025-09-07T06:38:41.8427770Z     as a keyword argument to its constructor and:
2025-09-07T06:38:41.8427770Z 
2025-09-07T06:38:41.8427910Z     * stores and removes any ``__warningregistry__`` entries in given `modules`
2025-09-07T06:38:41.8427960Z       on entry;
2025-09-07T06:38:41.8428090Z     * resets ``__warningregistry__`` to its previous state on exit.
2025-09-07T06:38:41.8428100Z 
2025-09-07T06:38:41.8428240Z     This makes it possible to trigger any warning afresh inside the context
2025-09-07T06:38:41.8428350Z     manager without disturbing the state of warnings outside.
2025-09-07T06:38:41.8428350Z 
2025-09-07T06:38:41.8428500Z     For compatibility with Python 3.0, please consider all arguments to be
2025-09-07T06:38:41.8428540Z     keyword-only.
2025-09-07T06:38:41.8428540Z 
2025-09-07T06:38:41.8428590Z     Parameters
2025-09-07T06:38:41.8428640Z     ----------
2025-09-07T06:38:41.8428700Z     record : bool, optional
2025-09-07T06:38:41.8428820Z         Specifies whether warnings should be captured by a custom
2025-09-07T06:38:41.8428960Z         implementation of ``warnings.showwarning()`` and be appended to a list
2025-09-07T06:38:41.8429090Z         returned by the context manager. Otherwise None is returned by the
2025-09-07T06:38:41.8429220Z         context manager. The objects appended to the list are arguments whose
2025-09-07T06:38:41.8429330Z         attributes mirror the arguments to ``showwarning()``.
2025-09-07T06:38:41.8429390Z     modules : sequence, optional
2025-09-07T06:38:41.8429520Z         Sequence of modules for which to reset warnings registry on entry and
2025-09-07T06:38:41.8429650Z         restore on exit. To work correctly, all 'ignore' filters should
2025-09-07T06:38:41.8429720Z         filter by one of these modules.
2025-09-07T06:38:41.8429720Z 
2025-09-07T06:38:41.8429760Z     Examples
2025-09-07T06:38:41.8429840Z     --------
2025-09-07T06:38:41.8429890Z     >>> import warnings
2025-09-07T06:38:41.8430010Z     >>> with np.testing.clear_and_catch_warnings(  # doctest: +SKIP
2025-09-07T06:38:41.8430080Z     ...     modules=[np.core.fromnumeric]
2025-09-07T06:38:41.8430120Z     ... ):
2025-09-07T06:38:41.8430190Z     ...     warnings.simplefilter("always")
2025-09-07T06:38:41.8430340Z     ...     warnings.filterwarnings("ignore", module="np.core.fromnumeric")
2025-09-07T06:38:41.8430450Z     ...     # do something that raises a warning but ignore those in
2025-09-07T06:38:41.8430510Z     ...     # np.core.fromnumeric
2025-09-07T06:38:41.8430550Z     
2025-09-07T06:38:41.8430700Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.8552120Z 
2025-09-07T06:38:41.8552630Z msg = Cannot scrape callname=calculate_gain in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py line=142.
2025-09-07T06:38:41.8553270Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.8553760Z Return the recommended gain value for the given nonlinearity function.
2025-09-07T06:38:41.8554000Z 
2025-09-07T06:38:41.8554060Z     The values are as follows:
2025-09-07T06:38:41.8554180Z 
2025-09-07T06:38:41.8554270Z     ================= ====================================================
2025-09-07T06:38:41.8554490Z     nonlinearity      gain
2025-09-07T06:38:41.8554680Z     ================= ====================================================
2025-09-07T06:38:41.8554900Z     Linear / Identity :math:`1`
2025-09-07T06:38:41.8555080Z     Conv{1,2,3}D      :math:`1`
2025-09-07T06:38:41.8555240Z     Sigmoid           :math:`1`
2025-09-07T06:38:41.8555420Z     Tanh              :math:`\frac{5}{3}`
2025-09-07T06:38:41.8555620Z     ReLU              :math:`\sqrt{2}`
2025-09-07T06:38:41.8555870Z     Leaky Relu        :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}`
2025-09-07T06:38:41.8556130Z     SELU              :math:`\frac{3}{4}`
2025-09-07T06:38:41.8556340Z     ================= ====================================================
2025-09-07T06:38:41.8556540Z 
2025-09-07T06:38:41.8556600Z     .. warning::
2025-09-07T06:38:41.8556800Z         In order to implement `Self-Normalizing Neural Networks`_ ,
2025-09-07T06:38:41.8557150Z         you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``.
2025-09-07T06:38:41.8557510Z         This gives the initial weights a variance of ``1 / N``,
2025-09-07T06:38:41.8557840Z         which is necessary to induce a stable fixed point in the forward pass.
2025-09-07T06:38:41.8558190Z         In contrast, the default gain for ``SELU`` sacrifices the normalization
2025-09-07T06:38:41.8558510Z         effect for more stable gradient flow in rectangular layers.
2025-09-07T06:38:41.8558690Z 
2025-09-07T06:38:41.8558740Z     Args:
2025-09-07T06:38:41.8558930Z         nonlinearity: the non-linear function (`nn.functional` name)
2025-09-07T06:38:41.8559220Z         param: optional parameter for the non-linear function
2025-09-07T06:38:41.8559400Z 
2025-09-07T06:38:41.8559450Z     Examples:
2025-09-07T06:38:41.8559590Z         >>> gain = nn.init.calculate_gain(
2025-09-07T06:38:41.8559780Z         ...     "leaky_relu", 0.2
2025-09-07T06:38:41.8559970Z         ... )  # leaky_relu with negative_slope=0.2
2025-09-07T06:38:41.8560120Z 
2025-09-07T06:38:41.8560420Z     .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html
2025-09-07T06:38:41.8560860Z     
2025-09-07T06:38:41.8561080Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.8561300Z 
2025-09-07T06:38:41.8561750Z msg = Cannot scrape callname=DistributedDataParallel.join in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1766.
2025-09-07T06:38:41.8562490Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.8562730Z 
2025-09-07T06:38:41.8562870Z Context manager for training with uneven inputs across processes in DDP.
2025-09-07T06:38:41.8563080Z 
2025-09-07T06:38:41.8563220Z This context manager will keep track of already-joined DDP processes,
2025-09-07T06:38:41.8563550Z and "shadow" the forward and backward passes by inserting collective
2025-09-07T06:38:41.8563880Z communication operations to match with the ones created by non-joined
2025-09-07T06:38:41.8564220Z DDP processes. This will ensure each collective call has a corresponding
2025-09-07T06:38:41.8564560Z call by already-joined DDP processes, preventing hangs or errors that
2025-09-07T06:38:41.8564880Z would otherwise happen when training with uneven inputs across
2025-09-07T06:38:41.8565220Z processes. Alternatively, if the flag ``throw_on_early_termination`` is
2025-09-07T06:38:41.8565550Z specified to be ``True``, all trainers will throw an error once one rank
2025-09-07T06:38:41.8565870Z runs out of inputs, allowing these errors to be caught and handled
2025-09-07T06:38:41.8566210Z according to application logic.
2025-09-07T06:38:41.8566330Z 
2025-09-07T06:38:41.8566470Z Once all DDP processes have joined, the context manager will broadcast
2025-09-07T06:38:41.8566800Z the model corresponding to the last joined process to all processes to
2025-09-07T06:38:41.8567080Z ensure the model is the same across all processes
2025-09-07T06:38:41.8567290Z (which is guaranteed by DDP).
2025-09-07T06:38:41.8567410Z 
2025-09-07T06:38:41.8567540Z To use this to enable training with uneven inputs across processes,
2025-09-07T06:38:41.8567860Z simply wrap this context manager around your training loop. No further
2025-09-07T06:38:41.8568170Z modifications to the model or data loading is required.
2025-09-07T06:38:41.8568340Z 
2025-09-07T06:38:41.8568390Z .. warning::
2025-09-07T06:38:41.8568590Z     If the model or training loop this context manager is wrapped around
2025-09-07T06:38:41.8568890Z     has additional distributed collective operations, such as
2025-09-07T06:38:41.8569180Z     ``SyncBatchNorm`` in the model's forward pass, then the flag
2025-09-07T06:38:41.8569520Z     ``throw_on_early_termination`` must be enabled. This is because this
2025-09-07T06:38:41.8569840Z     context manager is not aware of non-DDP collective communication.
2025-09-07T06:38:41.8570140Z     This flag will cause all ranks to throw when any one rank
2025-09-07T06:38:41.8570460Z     exhausts inputs, allowing these errors to be caught and recovered
2025-09-07T06:38:41.8570710Z     from across all ranks.
2025-09-07T06:38:41.8570820Z 
2025-09-07T06:38:41.8570870Z Args:
2025-09-07T06:38:41.8571050Z     divide_by_initial_world_size (bool): If ``True``, will divide
2025-09-07T06:38:41.8571360Z         gradients by the initial ``world_size`` DDP training was launched
2025-09-07T06:38:41.8571650Z         with. If ``False``, will compute the effective world size
2025-09-07T06:38:41.8571930Z         (number of ranks that have not depleted their inputs yet) and
2025-09-07T06:38:41.8572200Z         divide gradients by that during allreduce. Set
2025-09-07T06:38:41.8572480Z         ``divide_by_initial_world_size=True`` to ensure every input
2025-09-07T06:38:41.8572790Z         sample including the uneven inputs have equal weight in terms of
2025-09-07T06:38:41.8573090Z         how much they contribute to the global gradient. This is
2025-09-07T06:38:41.8573360Z         achieved by always dividing the gradient by the initial
2025-09-07T06:38:41.8573650Z         ``world_size`` even when we encounter uneven inputs. If you set
2025-09-07T06:38:41.8573940Z         this to ``False``, we divide the gradient by the remaining
2025-09-07T06:38:41.8574240Z         number of nodes. This ensures parity with training on a smaller
2025-09-07T06:38:41.8574550Z         ``world_size`` although it also means the uneven inputs would
2025-09-07T06:38:41.8574850Z         contribute more towards the global gradient. Typically, you
2025-09-07T06:38:41.8575210Z         would want to set this to ``True`` for cases where the last few
2025-09-07T06:38:41.8575520Z         inputs of your training job are uneven. In extreme cases, where
2025-09-07T06:38:41.8575820Z         there is a large discrepancy in the number of inputs, setting
2025-09-07T06:38:41.8576100Z         this to ``False`` might provide better results.
2025-09-07T06:38:41.8576390Z     enable (bool): Whether to enable uneven input detection or not. Pass
2025-09-07T06:38:41.8576690Z         in ``enable=False`` to disable in cases where you know that
2025-09-07T06:38:41.8576980Z         inputs are even across participating processes. Default is
2025-09-07T06:38:41.8577200Z         ``True``.
2025-09-07T06:38:41.8577400Z     throw_on_early_termination (bool): Whether to throw an error
2025-09-07T06:38:41.8577690Z         or continue training when at least one rank has exhausted
2025-09-07T06:38:41.8577970Z         inputs. If ``True``, will throw upon the first rank reaching end
2025-09-07T06:38:41.8578260Z         of data. If ``False``, will continue training with a smaller
2025-09-07T06:38:41.8578590Z         effective world size until all ranks are joined. Note that if
2025-09-07T06:38:41.8578850Z         this flag is specified, then the flag
2025-09-07T06:38:41.8579100Z         ``divide_by_initial_world_size`` would be ignored. Default
2025-09-07T06:38:41.8579320Z         is ``False``.
2025-09-07T06:38:41.8579420Z 
2025-09-07T06:38:41.8579420Z 
2025-09-07T06:38:41.8579470Z Example::
2025-09-07T06:38:41.8579540Z 
2025-09-07T06:38:41.8579610Z     >>> # xdoctest: +SKIP("Distributed")
2025-09-07T06:38:41.8579780Z     >>> import torch
2025-09-07T06:38:41.8579940Z     >>> import torch.distributed as dist
2025-09-07T06:38:41.8580120Z     >>> import os
2025-09-07T06:38:41.8580280Z     >>> import torch.multiprocessing as mp
2025-09-07T06:38:41.8580460Z     >>> import torch.nn as nn
2025-09-07T06:38:41.8580660Z     >>> # On each spawned worker
2025-09-07T06:38:41.8587100Z     >>> def worker(rank):
2025-09-07T06:38:41.8587340Z     >>>     dist.init_process_group("nccl", rank=rank, world_size=2)
2025-09-07T06:38:41.8587580Z     >>>     torch.cuda.set_device(rank)
2025-09-07T06:38:41.8587890Z     >>>     model = nn.Linear(1, 1, bias=False).to(rank)
2025-09-07T06:38:41.8588150Z     >>>     model = torch.nn.parallel.DistributedDataParallel(
2025-09-07T06:38:41.8588420Z     >>>         model, device_ids=[rank], output_device=rank
2025-09-07T06:38:41.8588610Z     >>>     )
2025-09-07T06:38:41.8588810Z     >>>     # Rank 1 gets one more input than rank 0.
2025-09-07T06:38:41.8589070Z     >>>     inputs = [torch.tensor([1]).float() for _ in range(10 + rank)]
2025-09-07T06:38:41.8589320Z     >>>     with model.join():
2025-09-07T06:38:41.8589490Z     >>>         for _ in range(5):
2025-09-07T06:38:41.8589670Z     >>>             for inp in inputs:
2025-09-07T06:38:41.8589860Z     >>>                 loss = model(inp).sum()
2025-09-07T06:38:41.8590050Z     >>>                 loss.backward()
2025-09-07T06:38:41.8590300Z     >>>     # Without the join() API, the below synchronization will hang
2025-09-07T06:38:41.8590580Z     >>>     # blocking for rank 1's allreduce to complete.
2025-09-07T06:38:41.8590810Z     >>>     torch.cuda.synchronize(device=rank)
2025-09-07T06:38:41.8590950Z 
2025-09-07T06:38:41.8591100Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.8591320Z 
2025-09-07T06:38:41.8591810Z msg = Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2057.
2025-09-07T06:38:41.8592520Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.8592750Z 
2025-09-07T06:38:41.8592930Z Register an optimizer in DDP to optimize parameter immediately after its gradient reduction.
2025-09-07T06:38:41.8593190Z 
2025-09-07T06:38:41.8593310Z Registers an optimizer with DDP such that the optimization for a
2025-09-07T06:38:41.8593660Z parameter will run immediately when that parameter's gradient is
2025-09-07T06:38:41.8593980Z finished with reduction, instead of waiting for all parameters'
2025-09-07T06:38:41.8594310Z gradients to finish reduction. This can result in a training speedup
2025-09-07T06:38:41.8594640Z depending on your workload since the optimizer can run while gradient
2025-09-07T06:38:41.8594980Z reduction for other parameters are still ongoing. In addition, this has
2025-09-07T06:38:41.8595330Z the potential to reduce peak memory consumption during training, as it
2025-09-07T06:38:41.8595650Z only needs to load the per-parameter optimizer states of a single
2025-09-07T06:38:41.8595970Z parameter at a time, instead of loading all per-parameter optimizer
2025-09-07T06:38:41.8596210Z states at once.
2025-09-07T06:38:41.8596290Z 
2025-09-07T06:38:41.8596340Z Args:
2025-09-07T06:38:41.8596520Z     optim (Type): a ``torch.optim.Optimizer`` class to be registered
2025-09-07T06:38:41.8596760Z     as a fused optimizer.
2025-09-07T06:38:41.8597010Z     *args (Sequence[Any]): Arguments to forward to `optim`.
2025-09-07T06:38:41.8597310Z     optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters
2025-09-07T06:38:41.8597670Z     to optimize, similar to `params` argument of traditional `torch.optim`
2025-09-07T06:38:41.8598010Z     Optimizers. If this is omitted, all DDP model parameters will be
2025-09-07T06:38:41.8598250Z     optimized.
2025-09-07T06:38:41.8598480Z     **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`.
2025-09-07T06:38:41.8598660Z 
2025-09-07T06:38:41.8598710Z .. warning ::
2025-09-07T06:38:41.8598920Z     _register_fused_optim should only be called once on a DDP instance,
2025-09-07T06:38:41.8599240Z     and registering multiple fused optimizers for the same DDP model
2025-09-07T06:38:41.8599540Z     is not currently supported. Please ping
2025-09-07T06:38:41.8599820Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-09-07T06:38:41.8600070Z     for your use case.
2025-09-07T06:38:41.8600170Z 
2025-09-07T06:38:41.8600210Z .. warning ::
2025-09-07T06:38:41.8600490Z     _register_fused_optim and register_comm_hook currently do not
2025-09-07T06:38:41.8600800Z     compose together, meaning that custom DDP communication hooks are
2025-09-07T06:38:41.8601100Z     not supported with overlapped optimizers. Please ping
2025-09-07T06:38:41.8601400Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-09-07T06:38:41.8601650Z     for your use case.
2025-09-07T06:38:41.8601780Z 
2025-09-07T06:38:41.8601830Z .. warning ::
2025-09-07T06:38:41.8602040Z     Gradient accumulation and DDP `no_sync` are currently not supported
2025-09-07T06:38:41.8602310Z     with overlapped optimizer. Please ping
2025-09-07T06:38:41.8602580Z     https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-09-07T06:38:41.8602840Z     for your use case.
2025-09-07T06:38:41.8602930Z 
2025-09-07T06:38:41.8602970Z Example::
2025-09-07T06:38:41.8603040Z 
2025-09-07T06:38:41.8603120Z     >>> # xdoctest: +SKIP("No rendezvous handler")
2025-09-07T06:38:41.8603450Z     >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...')
2025-09-07T06:38:41.8603830Z     >>> net = torch.nn.parallel.DistributedDataParallel(model, pg)
2025-09-07T06:38:41.8604060Z     >>> lr = 1e-2
2025-09-07T06:38:41.8604190Z     >>> betas = (0.9, 0.99)
2025-09-07T06:38:41.8604340Z     >>> eps = 1e-6
2025-09-07T06:38:41.8604560Z     >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps)
2025-09-07T06:38:41.8604840Z     >>> # Example with subset of parameters
2025-09-07T06:38:41.8605050Z     >>> params_to_opt = [list(net.parameters())[0]]
2025-09-07T06:38:41.8605260Z     >>> net._register_fused_optim(
2025-09-07T06:38:41.8605520Z     ...   torch.optim.Adam, lr, optim_params=params_to_opt,  betas=betas, eps=eps
2025-09-07T06:38:41.8605770Z     ... )
2025-09-07T06:38:41.8605830Z 
2025-09-07T06:38:41.8605980Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.8648100Z 
2025-09-07T06:38:41.8648610Z msg = Cannot scrape callname=register_parametrization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/parametrize.py line=424.
2025-09-07T06:38:41.8649280Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.8649610Z Register a parametrization to a tensor in a module.
2025-09-07T06:38:41.8649770Z 
2025-09-07T06:38:41.8649950Z     Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-09-07T06:38:41.8650360Z     the module will return the parametrized version ``parametrization(module.weight)``.
2025-09-07T06:38:41.8650760Z     If the original tensor requires a gradient, the backward pass will differentiate
2025-09-07T06:38:41.8651160Z     through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-09-07T06:38:41.8651400Z 
2025-09-07T06:38:41.8651590Z     The first time that a module registers a parametrization, this function will add an attribute
2025-09-07T06:38:41.8652050Z     ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-09-07T06:38:41.8652270Z 
2025-09-07T06:38:41.8652430Z     The list of parametrizations on the tensor ``weight`` will be accessible under
2025-09-07T06:38:41.8652720Z     ``module.parametrizations.weight``.
2025-09-07T06:38:41.8652860Z 
2025-09-07T06:38:41.8652940Z     The original tensor will be accessible under
2025-09-07T06:38:41.8653180Z     ``module.parametrizations.weight.original``.
2025-09-07T06:38:41.8653340Z 
2025-09-07T06:38:41.8653490Z     Parametrizations may be concatenated by registering several parametrizations
2025-09-07T06:38:41.8653780Z     on the same attribute.
2025-09-07T06:38:41.8653880Z 
2025-09-07T06:38:41.8654030Z     The training mode of a registered parametrization is updated on registration
2025-09-07T06:38:41.8654320Z     to match the training mode of the host module
2025-09-07T06:38:41.8654470Z 
2025-09-07T06:38:41.8654680Z     Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-09-07T06:38:41.8655040Z     using the context manager :func:`cached`.
2025-09-07T06:38:41.8655190Z 
2025-09-07T06:38:41.8655330Z     A :attr:`parametrization` may optionally implement a method with signature
2025-09-07T06:38:41.8655550Z 
2025-09-07T06:38:41.8655610Z     .. code-block:: python
2025-09-07T06:38:41.8655710Z 
2025-09-07T06:38:41.8655870Z         def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-09-07T06:38:41.8656070Z 
2025-09-07T06:38:41.8656230Z     This method is called on the unparametrized tensor when the first parametrization
2025-09-07T06:38:41.8656590Z     is registered to compute the initial value of the original tensor.
2025-09-07T06:38:41.8656970Z     If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-09-07T06:38:41.8657220Z 
2025-09-07T06:38:41.8657410Z     If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-09-07T06:38:41.8657840Z     to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-09-07T06:38:41.8658080Z 
2025-09-07T06:38:41.8658220Z     It is possible for the first parametrization to depend on several inputs.
2025-09-07T06:38:41.8658570Z     This may be implemented returning a tuple of tensors from ``right_inverse``
2025-09-07T06:38:41.8658930Z     (see the example implementation of a ``RankOne`` parametrization below).
2025-09-07T06:38:41.8659140Z 
2025-09-07T06:38:41.8659340Z     In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-09-07T06:38:41.8659690Z     with names ``original0``, ``original1``,...
2025-09-07T06:38:41.8659830Z 
2025-09-07T06:38:41.8659880Z     .. note::
2025-09-07T06:38:41.8659950Z 
2025-09-07T06:38:41.8660120Z         If unsafe=False (default) both the forward and right_inverse methods will be called
2025-09-07T06:38:41.8660470Z         once to perform a number of consistency checks.
2025-09-07T06:38:41.8660790Z         If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-09-07T06:38:41.8661090Z         and nothing will be called otherwise.
2025-09-07T06:38:41.8661230Z 
2025-09-07T06:38:41.8661270Z     .. note::
2025-09-07T06:38:41.8661350Z 
2025-09-07T06:38:41.8661470Z         In most situations, ``right_inverse`` will be a function such that
2025-09-07T06:38:41.8661730Z         ``forward(right_inverse(X)) == X`` (see
2025-09-07T06:38:41.8662050Z         `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-09-07T06:38:41.8662440Z         Sometimes, when the parametrization is not surjective, it may be reasonable
2025-09-07T06:38:41.8662720Z         to relax this.
2025-09-07T06:38:41.8662810Z 
2025-09-07T06:38:41.8662860Z     .. warning::
2025-09-07T06:38:41.8662940Z 
2025-09-07T06:38:41.8663110Z         If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-09-07T06:38:41.8663560Z         will register a number of new parameters. If such parametrization is registered
2025-09-07T06:38:41.8663940Z         after the optimizer is created, these new parameters will need to be added manually
2025-09-07T06:38:41.8664290Z         to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-09-07T06:38:41.8664480Z 
2025-09-07T06:38:41.8664520Z     Args:
2025-09-07T06:38:41.8664720Z         module (nn.Module): module on which to register the parametrization
2025-09-07T06:38:41.8665050Z         tensor_name (str): name of the parameter or buffer on which to register
2025-09-07T06:38:41.8665310Z             the parametrization
2025-09-07T06:38:41.8665540Z         parametrization (nn.Module): the parametrization to register
2025-09-07T06:38:41.8665780Z     Keyword args:
2025-09-07T06:38:41.8666000Z         unsafe (bool): a boolean flag that denotes whether the parametrization
2025-09-07T06:38:41.8666330Z             may change the dtype and shape of the tensor. Default: `False`
2025-09-07T06:38:41.8666670Z             Warning: the parametrization is not checked for consistency upon registration.
2025-09-07T06:38:41.8667020Z             Enable this flag at your own risk.
2025-09-07T06:38:41.8667160Z 
2025-09-07T06:38:41.8667200Z     Raises:
2025-09-07T06:38:41.8667450Z         ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-09-07T06:38:41.8667690Z 
2025-09-07T06:38:41.8667750Z     Examples:
2025-09-07T06:38:41.8667920Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-09-07T06:38:41.8668120Z         >>> import torch
2025-09-07T06:38:41.8668280Z         >>> import torch.nn as nn
2025-09-07T06:38:41.8668480Z         >>> import torch.nn.utils.parametrize as P
2025-09-07T06:38:41.8668670Z         >>>
2025-09-07T06:38:41.8668800Z         >>> class Symmetric(nn.Module):
2025-09-07T06:38:41.8668990Z         >>>     def forward(self, X):
2025-09-07T06:38:41.8669220Z         >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-09-07T06:38:41.8669440Z         >>>
2025-09-07T06:38:41.8669570Z         >>>     def right_inverse(self, A):
2025-09-07T06:38:41.8669760Z         >>>         return A.triu()
2025-09-07T06:38:41.8669920Z         >>>
2025-09-07T06:38:41.8670040Z         >>> m = nn.Linear(5, 5)
2025-09-07T06:38:41.8670250Z         >>> P.register_parametrization(m, "weight", Symmetric())
2025-09-07T06:38:41.8670570Z         >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-09-07T06:38:41.8670830Z         True
2025-09-07T06:38:41.8670960Z         >>> A = torch.rand(5, 5)
2025-09-07T06:38:41.8671130Z         >>> A = A + A.T  # A is now symmetric
2025-09-07T06:38:41.8671390Z         >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-09-07T06:38:41.8671650Z         >>> print(torch.allclose(m.weight, A))
2025-09-07T06:38:41.8671830Z         True
2025-09-07T06:38:41.8671900Z 
2025-09-07T06:38:41.8672000Z         >>> class RankOne(nn.Module):
2025-09-07T06:38:41.8672190Z         >>>     def forward(self, x, y):
2025-09-07T06:38:41.8672400Z         >>> # Form a rank 1 matrix multiplying two vectors
2025-09-07T06:38:41.8672640Z         >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-09-07T06:38:41.8672830Z         >>>
2025-09-07T06:38:41.8672960Z         >>>     def right_inverse(self, Z):
2025-09-07T06:38:41.8673190Z         >>> # Project Z onto the rank 1 matrices
2025-09-07T06:38:41.8673460Z         >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-09-07T06:38:41.8673720Z         >>> # Return rescaled singular vectors
2025-09-07T06:38:41.8673930Z         >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-09-07T06:38:41.8674190Z         >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-09-07T06:38:41.8674390Z         >>>
2025-09-07T06:38:41.8674550Z         >>> linear_rank_one = P.register_parametrization(
2025-09-07T06:38:41.8674780Z         ...     nn.Linear(4, 4), "weight", RankOne()
2025-09-07T06:38:41.8675030Z         ... )
2025-09-07T06:38:41.8675230Z         >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-09-07T06:38:41.8675470Z         1
2025-09-07T06:38:41.8675530Z 
2025-09-07T06:38:41.8675580Z     
2025-09-07T06:38:41.8675790Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.8676000Z 
2025-09-07T06:38:41.8676450Z msg = Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=14.
2025-09-07T06:38:41.8677110Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.8677460Z Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``.
2025-09-07T06:38:41.8677660Z 
2025-09-07T06:38:41.8677830Z     The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-09-07T06:38:41.8678220Z     Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-09-07T06:38:41.8678650Z     This function is used to facilitate the computation to adopt NHWC kernels, which
2025-09-07T06:38:41.8679060Z     provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-09-07T06:38:41.8679310Z 
2025-09-07T06:38:41.8679350Z     .. note::
2025-09-07T06:38:41.8679700Z         Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive
2025-09-07T06:38:41.8680050Z         than the utility function ``convert_conv2d_weight_memory_format``. Any
2025-09-07T06:38:41.8680380Z         layer with 4d weight will be affected by ``model.to``, which does not
2025-09-07T06:38:41.8680710Z         necessarily benefit from conversion to specified ``memory_format``.
2025-09-07T06:38:41.8681050Z         One place we are confident in is that NHWC(channels_last) conversion for
2025-09-07T06:38:41.8681380Z         convolution in cuDNN, as it is beneficial to run convolution in NHWC,
2025-09-07T06:38:41.8681710Z         even in cases where we have to apply permutation to input tensors.
2025-09-07T06:38:41.8681900Z 
2025-09-07T06:38:41.8682040Z         Hence our strategy here is to convert only the weight of convolution to
2025-09-07T06:38:41.8682310Z         channels_last. This ensures that;
2025-09-07T06:38:41.8682570Z         1. Fast convolution kernels will be used, the benefit of which could
2025-09-07T06:38:41.8682910Z         outweigh overhead of permutation (if input is not in the same format).
2025-09-07T06:38:41.8683260Z         2. No unnecessary permutations are applied on layers that do not benefit
2025-09-07T06:38:41.8683520Z         from memory_format conversion.
2025-09-07T06:38:41.8683650Z 
2025-09-07T06:38:41.8683790Z         The optimal case is that, layers between convolution layers are channels
2025-09-07T06:38:41.8684130Z         last compatible. Input tensor would be permuted to channels last when it
2025-09-07T06:38:41.8684520Z         encounters the first convolution layer and stay in that memory format.
2025-09-07T06:38:41.8684870Z         Hence following convolutions will not need to permute its input tensor.
2025-09-07T06:38:41.8685080Z 
2025-09-07T06:38:41.8685220Z         In case where a channels last incompatible layer is between convolution
2025-09-07T06:38:41.8685550Z         layers, we need to permute the input tensor back to contiguous format
2025-09-07T06:38:41.8685880Z         for that layer. The input tensor will go through the remaining layers in
2025-09-07T06:38:41.8686220Z         contiguous format and be permuted to channels last when it encounters
2025-09-07T06:38:41.8686550Z         another convolution layer. There's no point in propagating that
2025-09-07T06:38:41.8686870Z         permutation to an earlier layer, as most layers are quite agnostic to
2025-09-07T06:38:41.8687120Z         ``memory_format``.
2025-09-07T06:38:41.8687220Z 
2025-09-07T06:38:41.8687360Z         This claim might change when PyTorch supports fusion of permutation, as
2025-09-07T06:38:41.8687740Z         there might have been a better spot to fuse the permutation other than
2025-09-07T06:38:41.8688010Z         immediately before a convolution.
2025-09-07T06:38:41.8688140Z 
2025-09-07T06:38:41.8688180Z     Args:
2025-09-07T06:38:41.8688390Z         module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container
2025-09-07T06:38:41.8688640Z                             ``nn.Module``
2025-09-07T06:38:41.8688860Z         memory_format: user specified ``memory_format``,
2025-09-07T06:38:41.8689120Z             e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-09-07T06:38:41.8689300Z 
2025-09-07T06:38:41.8689350Z     Returns:
2025-09-07T06:38:41.8689510Z         The original module with updated ``nn.Conv2d``
2025-09-07T06:38:41.8689660Z 
2025-09-07T06:38:41.8689700Z     Example:
2025-09-07T06:38:41.8689860Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-09-07T06:38:41.8690100Z         >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-09-07T06:38:41.8690320Z         >>> input = torch.randint(
2025-09-07T06:38:41.8690580Z         ...     1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda"
2025-09-07T06:38:41.8690790Z         ... )
2025-09-07T06:38:41.8690920Z         >>> model = nn.Sequential(
2025-09-07T06:38:41.8691110Z         >>>     nn.Conv2d(8, 4, 3)).cuda().half()
2025-09-07T06:38:41.8691300Z         >>> # This is identical to:
2025-09-07T06:38:41.8691590Z         >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-09-07T06:38:41.8691910Z         >>> model = nn.utils.convert_conv2d_weight_memory_format(
2025-09-07T06:38:41.8692140Z         ...     model, torch.channels_last
2025-09-07T06:38:41.8692310Z         ... )
2025-09-07T06:38:41.8692430Z         >>> out = model(input)
2025-09-07T06:38:41.8692580Z     
2025-09-07T06:38:41.8692790Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.8927830Z 
2025-09-07T06:38:41.8928490Z msg = Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=93.
2025-09-07T06:38:41.8929180Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.8929540Z Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format``
2025-09-07T06:38:41.8929920Z     The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-09-07T06:38:41.8930330Z     Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-09-07T06:38:41.8930730Z     This function is used to facilitate the computation to adopt NHWC kernels, which
2025-09-07T06:38:41.8931160Z     provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-09-07T06:38:41.8931410Z 
2025-09-07T06:38:41.8931460Z     .. note::
2025-09-07T06:38:41.8931820Z         Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive
2025-09-07T06:38:41.8932180Z         than the utility function ``convert_conv3d_weight_memory_format``. Any
2025-09-07T06:38:41.8932510Z         layer with 4d weight will be affected by ``model.to``, which does not
2025-09-07T06:38:41.8932880Z         necessarily benefit from conversion to specified ``memory_format``.
2025-09-07T06:38:41.8933220Z         One place we are confident in is that NDHWC(channels_last_3d) conversion for
2025-09-07T06:38:41.8933590Z         convolution in cuDNN, as it is beneficial to run convolution in NDHWC,
2025-09-07T06:38:41.8933910Z         even in cases where we have to apply permutation to input tensors.
2025-09-07T06:38:41.8934110Z 
2025-09-07T06:38:41.8934250Z         Hence our strategy here is to convert only the weight of convolution to
2025-09-07T06:38:41.8934520Z         channels_last_3d. This ensures that;
2025-09-07T06:38:41.8934790Z         1. Fast convolution kernels will be used, the benefit of which could
2025-09-07T06:38:41.8935190Z         outweigh overhead of permutation (if input is not in the same format).
2025-09-07T06:38:41.8935540Z         2. No unnecessary permutations are applied on layers that do not benefit
2025-09-07T06:38:41.8935800Z         from memory_format conversion.
2025-09-07T06:38:41.8935940Z 
2025-09-07T06:38:41.8936070Z         The optimal case is that, layers between convolution layers are channels
2025-09-07T06:38:41.8936410Z         last compatible. Input tensor would be permuted to channels last when it
2025-09-07T06:38:41.8936760Z         encounters the first convolution layer and stay in that memory format.
2025-09-07T06:38:41.8937110Z         Hence following convolutions will not need to permute its input tensor.
2025-09-07T06:38:41.8937320Z 
2025-09-07T06:38:41.8937460Z         In case where a channels last incompatible layer is between convolution
2025-09-07T06:38:41.8937790Z         layers, we need to permute the input tensor back to contiguous format
2025-09-07T06:38:41.8938120Z         for that layer. The input tensor will go through the remaining layers in
2025-09-07T06:38:41.8938510Z         contiguous format and be permuted to channels last when it encounters
2025-09-07T06:38:41.8944520Z         another convolution layer. There's no point in propagating that
2025-09-07T06:38:41.8944860Z         permutation to an earlier layer, as most layers are quite agnostic to
2025-09-07T06:38:41.8945110Z         ``memory_format``.
2025-09-07T06:38:41.8945220Z 
2025-09-07T06:38:41.8945410Z         This claim might change when PyTorch supports fusion of permutation, as
2025-09-07T06:38:41.8945770Z         there might have been a better spot to fuse the permutation other than
2025-09-07T06:38:41.8946040Z         immediately before a convolution.
2025-09-07T06:38:41.8946180Z 
2025-09-07T06:38:41.8946220Z     Args:
2025-09-07T06:38:41.8946420Z         module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container
2025-09-07T06:38:41.8946680Z                             ``nn.Module``
2025-09-07T06:38:41.8946900Z         memory_format: user specified ``memory_format``,
2025-09-07T06:38:41.8947170Z             e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-09-07T06:38:41.8947350Z 
2025-09-07T06:38:41.8947390Z     Returns:
2025-09-07T06:38:41.8947560Z         The original module with updated ``nn.Conv3d``
2025-09-07T06:38:41.8947710Z 
2025-09-07T06:38:41.8947750Z     Example:
2025-09-07T06:38:41.8947910Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-09-07T06:38:41.8948210Z         >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-09-07T06:38:41.8948430Z         >>> input = torch.randint(
2025-09-07T06:38:41.8948640Z         ...     1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda"
2025-09-07T06:38:41.8948850Z         ... )
2025-09-07T06:38:41.8948980Z         >>> model = nn.Sequential(
2025-09-07T06:38:41.8949170Z         >>>     nn.Conv3d(8, 4, 3)).cuda().half()
2025-09-07T06:38:41.8949360Z         >>> # This is identical to:
2025-09-07T06:38:41.8949670Z         >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-09-07T06:38:41.8950010Z         >>> model = nn.utils.convert_conv3d_weight_memory_format(
2025-09-07T06:38:41.8950240Z         ...     model, torch.channels_last_3d
2025-09-07T06:38:41.8950420Z         ... )
2025-09-07T06:38:41.8950550Z         >>> out = model(input)
2025-09-07T06:38:41.8950700Z     
2025-09-07T06:38:41.8950920Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.8951130Z 
2025-09-07T06:38:41.8951520Z msg = Cannot scrape callname=ln_structured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py line=979.
2025-09-07T06:38:41.8952110Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.8952520Z Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension.
2025-09-07T06:38:41.8952770Z 
2025-09-07T06:38:41.8952910Z     Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-09-07T06:38:41.8953310Z     by removing the specified ``amount`` of (currently unpruned) channels
2025-09-07T06:38:41.8953610Z     along the specified ``dim`` with the lowest L\ ``n``-norm.
2025-09-07T06:38:41.8953900Z     Modifies module in place (and also return the modified module)
2025-09-07T06:38:41.8954130Z     by:
2025-09-07T06:38:41.8954200Z 
2025-09-07T06:38:41.8954330Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-09-07T06:38:41.8954650Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-09-07T06:38:41.8954980Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-09-07T06:38:41.8955300Z        original (unpruned) parameter is stored in a new parameter named
2025-09-07T06:38:41.8955540Z        ``name+'_orig'``.
2025-09-07T06:38:41.8955640Z 
2025-09-07T06:38:41.8955690Z     Args:
2025-09-07T06:38:41.8955860Z         module (nn.Module): module containing the tensor to prune
2025-09-07T06:38:41.8956160Z         name (str): parameter name within ``module`` on which pruning
2025-09-07T06:38:41.8956410Z                 will act.
2025-09-07T06:38:41.8956610Z         amount (int or float): quantity of parameters to prune.
2025-09-07T06:38:41.8956890Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-09-07T06:38:41.8957180Z             fraction of parameters to prune. If ``int``, it represents the
2025-09-07T06:38:41.8957470Z             absolute number of parameters to prune.
2025-09-07T06:38:41.8957740Z         n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid
2025-09-07T06:38:41.8958030Z             entries for argument ``p`` in :func:`torch.norm`.
2025-09-07T06:38:41.8958320Z         dim (int): index of the dim along which we define channels to prune.
2025-09-07T06:38:41.8958650Z         importance_scores (torch.Tensor): tensor of importance scores (of same
2025-09-07T06:38:41.8958970Z             shape as module parameter) used to compute mask for pruning.
2025-09-07T06:38:41.8959300Z             The values in this tensor indicate the importance of the corresponding
2025-09-07T06:38:41.8959580Z             elements in the parameter being pruned.
2025-09-07T06:38:41.8959860Z             If unspecified or None, the module parameter will be used in its place.
2025-09-07T06:38:41.8960070Z 
2025-09-07T06:38:41.8960110Z     Returns:
2025-09-07T06:38:41.8960320Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-09-07T06:38:41.8960520Z 
2025-09-07T06:38:41.8960570Z     Examples:
2025-09-07T06:38:41.8960710Z         >>> from torch.nn.utils import prune
2025-09-07T06:38:41.8960910Z         >>> m = prune.ln_structured(
2025-09-07T06:38:41.8961140Z         ...     nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf")
2025-09-07T06:38:41.8961360Z         ... )
2025-09-07T06:38:41.8961480Z     
2025-09-07T06:38:41.8961760Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.8961980Z 
2025-09-07T06:38:41.8962370Z msg = Cannot scrape callname=global_unstructured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1026.
2025-09-07T06:38:41.8962980Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.8963200Z 
2025-09-07T06:38:41.8963460Z Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``.
2025-09-07T06:38:41.8963770Z 
2025-09-07T06:38:41.8963840Z Modifies modules in place by:
2025-09-07T06:38:41.8963950Z 
2025-09-07T06:38:41.8964080Z 1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-09-07T06:38:41.8964440Z    binary mask applied to the parameter ``name`` by the pruning method.
2025-09-07T06:38:41.8964760Z 2) replacing the parameter ``name`` by its pruned version, while the
2025-09-07T06:38:41.8965080Z    original (unpruned) parameter is stored in a new parameter named
2025-09-07T06:38:41.8965350Z    ``name+'_orig'``.
2025-09-07T06:38:41.8965450Z 
2025-09-07T06:38:41.8965490Z Args:
2025-09-07T06:38:41.8965670Z     parameters (Iterable of (module, name) tuples): parameters of
2025-09-07T06:38:41.8965980Z         the model to prune in a global fashion, i.e. by aggregating all
2025-09-07T06:38:41.8966290Z         weights prior to deciding which ones to prune. module must be of
2025-09-07T06:38:41.8966580Z         type :class:`nn.Module`, and name must be a string.
2025-09-07T06:38:41.8966870Z     pruning_method (function): a valid pruning function from this module,
2025-09-07T06:38:41.8967180Z         or a custom one implemented by the user that satisfies the
2025-09-07T06:38:41.8967490Z         implementation guidelines and has ``PRUNING_TYPE='unstructured'``.
2025-09-07T06:38:41.8967830Z     importance_scores (dict): a dictionary mapping (module, name) tuples to
2025-09-07T06:38:41.8968170Z         the corresponding parameter's importance scores tensor. The tensor
2025-09-07T06:38:41.8968510Z         should be the same shape as the parameter, and is used for computing
2025-09-07T06:38:41.8968780Z         mask for pruning.
2025-09-07T06:38:41.8969010Z         If unspecified or None, the parameter will be used in place of its
2025-09-07T06:38:41.8969250Z         importance scores.
2025-09-07T06:38:41.8969430Z     kwargs: other keyword arguments such as:
2025-09-07T06:38:41.8969750Z         amount (int or float): quantity of parameters to prune across the
2025-09-07T06:38:41.8969990Z         specified parameters.
2025-09-07T06:38:41.8970210Z         If ``float``, should be between 0.0 and 1.0 and represent the
2025-09-07T06:38:41.8970500Z         fraction of parameters to prune. If ``int``, it represents the
2025-09-07T06:38:41.8970760Z         absolute number of parameters to prune.
2025-09-07T06:38:41.8970910Z 
2025-09-07T06:38:41.8970950Z Raises:
2025-09-07T06:38:41.8971110Z     TypeError: if ``PRUNING_TYPE != 'unstructured'``
2025-09-07T06:38:41.8971270Z 
2025-09-07T06:38:41.8971310Z Note:
2025-09-07T06:38:41.8971500Z     Since global structured pruning doesn't make much sense unless the
2025-09-07T06:38:41.8971820Z     norm is normalized by the size of the parameter, we now limit the
2025-09-07T06:38:41.8972100Z     scope of global pruning to unstructured methods.
2025-09-07T06:38:41.8972250Z 
2025-09-07T06:38:41.8972300Z Examples:
2025-09-07T06:38:41.8972430Z     >>> from torch.nn.utils import prune
2025-09-07T06:38:41.8972630Z     >>> from collections import OrderedDict
2025-09-07T06:38:41.8972820Z     >>> net = nn.Sequential(
2025-09-07T06:38:41.8972980Z     ...     OrderedDict(
2025-09-07T06:38:41.8973120Z     ...         [
2025-09-07T06:38:41.8973260Z     ...             ("first", nn.Linear(10, 4)),
2025-09-07T06:38:41.8973470Z     ...             ("second", nn.Linear(4, 1)),
2025-09-07T06:38:41.8973640Z     ...         ]
2025-09-07T06:38:41.8973760Z     ...     )
2025-09-07T06:38:41.8973880Z     ... )
2025-09-07T06:38:41.8974030Z     >>> parameters_to_prune = (
2025-09-07T06:38:41.8974200Z     ...     (net.first, "weight"),
2025-09-07T06:38:41.8974380Z     ...     (net.second, "weight"),
2025-09-07T06:38:41.8974550Z     ... )
2025-09-07T06:38:41.8974670Z     >>> prune.global_unstructured(
2025-09-07T06:38:41.8974850Z     ...     parameters_to_prune,
2025-09-07T06:38:41.8975040Z     ...     pruning_method=prune.L1Unstructured,
2025-09-07T06:38:41.8975230Z     ...     amount=10,
2025-09-07T06:38:41.8975360Z     ... )
2025-09-07T06:38:41.8975560Z     >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0))
2025-09-07T06:38:41.8975800Z     tensor(10)
2025-09-07T06:38:41.8975880Z 
2025-09-07T06:38:41.8975880Z 
2025-09-07T06:38:41.8976040Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.9294530Z 
2025-09-07T06:38:41.9295130Z msg = Cannot scrape callname=custom_from_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1149.
2025-09-07T06:38:41.9295990Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.9296570Z Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``.
2025-09-07T06:38:41.9296880Z 
2025-09-07T06:38:41.9297030Z     Modifies module in place (and also return the modified module) by:
2025-09-07T06:38:41.9297230Z 
2025-09-07T06:38:41.9297370Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-09-07T06:38:41.9297720Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-09-07T06:38:41.9298070Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-09-07T06:38:41.9298400Z        original (unpruned) parameter is stored in a new parameter named
2025-09-07T06:38:41.9298650Z        ``name+'_orig'``.
2025-09-07T06:38:41.9298760Z 
2025-09-07T06:38:41.9298800Z     Args:
2025-09-07T06:38:41.9298990Z         module (nn.Module): module containing the tensor to prune
2025-09-07T06:38:41.9299300Z         name (str): parameter name within ``module`` on which pruning
2025-09-07T06:38:41.9299600Z             will act.
2025-09-07T06:38:41.9299810Z         mask (Tensor): binary mask to be applied to the parameter.
2025-09-07T06:38:41.9299990Z 
2025-09-07T06:38:41.9300040Z     Returns:
2025-09-07T06:38:41.9300260Z         module (nn.Module): modified (i.e. pruned) version of the input module
2025-09-07T06:38:41.9300470Z 
2025-09-07T06:38:41.9300550Z     Examples:
2025-09-07T06:38:41.9300710Z         >>> from torch.nn.utils import prune
2025-09-07T06:38:41.9300770Z         >>> m = prune.custom_from_mask(
2025-09-07T06:38:41.9300890Z         ...     nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0])
2025-09-07T06:38:41.9300930Z         ... )
2025-09-07T06:38:41.9300990Z         >>> print(m.bias_mask)
2025-09-07T06:38:41.9301050Z         tensor([0., 1., 0.])
2025-09-07T06:38:41.9301050Z 
2025-09-07T06:38:41.9301090Z     
2025-09-07T06:38:41.9301260Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.9301260Z 
2025-09-07T06:38:41.9301660Z msg = Cannot scrape callname=pad_packed_sequence in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/rnn.py line=350.
2025-09-07T06:38:41.9301830Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.9301920Z Pad a packed batch of variable length sequences.
2025-09-07T06:38:41.9301930Z 
2025-09-07T06:38:41.9302040Z     It is an inverse operation to :func:`pack_padded_sequence`.
2025-09-07T06:38:41.9302040Z 
2025-09-07T06:38:41.9302220Z     The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``)
2025-09-07T06:38:41.9302380Z     or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest
2025-09-07T06:38:41.9302450Z     sequence and ``B`` is the batch size.
2025-09-07T06:38:41.9302450Z 
2025-09-07T06:38:41.9302560Z     Example:
2025-09-07T06:38:41.9302720Z         >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
2025-09-07T06:38:41.9302820Z         >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]])
2025-09-07T06:38:41.9302870Z         >>> lens = [2, 1, 3]
2025-09-07T06:38:41.9302950Z         >>> packed = pack_padded_sequence(
2025-09-07T06:38:41.9303040Z         ...     seq, lens, batch_first=True, enforce_sorted=False
2025-09-07T06:38:41.9303090Z         ... )
2025-09-07T06:38:41.9303140Z         >>> packed
2025-09-07T06:38:41.9303300Z         PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]),
2025-09-07T06:38:41.9303460Z                        sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0]))
2025-09-07T06:38:41.9303620Z         >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True)
2025-09-07T06:38:41.9303670Z         >>> seq_unpacked
2025-09-07T06:38:41.9303730Z         tensor([[1, 2, 0],
2025-09-07T06:38:41.9303820Z                 [3, 0, 0],
2025-09-07T06:38:41.9303870Z                 [4, 5, 6]])
2025-09-07T06:38:41.9303920Z         >>> lens_unpacked
2025-09-07T06:38:41.9303970Z         tensor([2, 1, 3])
2025-09-07T06:38:41.9303980Z 
2025-09-07T06:38:41.9304030Z     .. note::
2025-09-07T06:38:41.9304120Z         :attr:`total_length` is useful to implement the
2025-09-07T06:38:41.9304270Z         ``pack sequence -> recurrent network -> unpack sequence`` pattern in a
2025-09-07T06:38:41.9304410Z         :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`.
2025-09-07T06:38:41.9304560Z         See :ref:`this FAQ section <pack-rnn-unpack-with-data-parallelism>` for
2025-09-07T06:38:41.9304600Z         details.
2025-09-07T06:38:41.9304600Z 
2025-09-07T06:38:41.9304650Z     Args:
2025-09-07T06:38:41.9304730Z         sequence (PackedSequence): batch to pad
2025-09-07T06:38:41.9304880Z         batch_first (bool, optional): if ``True``, the output will be in ``B x T x *``
2025-09-07T06:38:41.9304950Z             format, ``T x B x *`` otherwise.
2025-09-07T06:38:41.9305110Z         padding_value (float, optional): values for padded elements.
2025-09-07T06:38:41.9305260Z         total_length (int, optional): if not ``None``, the output will be padded to
2025-09-07T06:38:41.9305410Z             have length :attr:`total_length`. This method will throw :class:`ValueError`
2025-09-07T06:38:41.9305560Z             if :attr:`total_length` is less than the max sequence length in
2025-09-07T06:38:41.9305620Z             :attr:`sequence`.
2025-09-07T06:38:41.9305620Z 
2025-09-07T06:38:41.9305670Z     Returns:
2025-09-07T06:38:41.9305790Z         Tuple of Tensor containing the padded sequence, and a Tensor
2025-09-07T06:38:41.9305920Z         containing the list of lengths of each sequence in the batch.
2025-09-07T06:38:41.9306060Z         Batch elements will be re-ordered as they were ordered originally when
2025-09-07T06:38:41.9306200Z         the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``.
2025-09-07T06:38:41.9306240Z     
2025-09-07T06:38:41.9306390Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.9306400Z 
2025-09-07T06:38:41.9306770Z msg = Cannot scrape callname=Unflatten in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=66.
2025-09-07T06:38:41.9306930Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.9306930Z 
2025-09-07T06:38:41.9307120Z Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`.
2025-09-07T06:38:41.9307120Z 
2025-09-07T06:38:41.9307290Z * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can
2025-09-07T06:38:41.9307430Z   be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively.
2025-09-07T06:38:41.9307430Z 
2025-09-07T06:38:41.9307690Z * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be
2025-09-07T06:38:41.9307840Z   a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input;  a `NamedShape`
2025-09-07T06:38:41.9307950Z   (tuple of `(name, size)` tuples) for `NamedTensor` input.
2025-09-07T06:38:41.9307950Z 
2025-09-07T06:38:41.9308000Z Shape:
2025-09-07T06:38:41.9308130Z     - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at
2025-09-07T06:38:41.9308280Z       dimension :attr:`dim` and :math:`*` means any number of dimensions including none.
2025-09-07T06:38:41.9308420Z     - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and
2025-09-07T06:38:41.9308500Z       :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`.
2025-09-07T06:38:41.9308500Z 
2025-09-07T06:38:41.9308540Z Args:
2025-09-07T06:38:41.9308640Z     dim (Union[int, str]): Dimension to be unflattened
2025-09-07T06:38:41.9308850Z     unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension
2025-09-07T06:38:41.9308920Z 
2025-09-07T06:38:41.9308970Z Examples:
2025-09-07T06:38:41.9309030Z     >>> input = torch.randn(2, 50)
2025-09-07T06:38:41.9309080Z     >>> # With tuple of ints
2025-09-07T06:38:41.9309140Z     >>> m = nn.Sequential(
2025-09-07T06:38:41.9309190Z     >>>     nn.Linear(50, 50),
2025-09-07T06:38:41.9309250Z     >>>     nn.Unflatten(1, (2, 5, 5))
2025-09-07T06:38:41.9309290Z     >>> )
2025-09-07T06:38:41.9309340Z     >>> output = m(input)
2025-09-07T06:38:41.9309400Z     >>> output.size()
2025-09-07T06:38:41.9309450Z     torch.Size([2, 2, 5, 5])
2025-09-07T06:38:41.9309500Z     >>> # With torch.Size
2025-09-07T06:38:41.9309550Z     >>> m = nn.Sequential(
2025-09-07T06:38:41.9309600Z     >>>     nn.Linear(50, 50),
2025-09-07T06:38:41.9309680Z     >>>     nn.Unflatten(1, torch.Size([2, 5, 5]))
2025-09-07T06:38:41.9309720Z     >>> )
2025-09-07T06:38:41.9309770Z     >>> output = m(input)
2025-09-07T06:38:41.9309810Z     >>> output.size()
2025-09-07T06:38:41.9309870Z     torch.Size([2, 2, 5, 5])
2025-09-07T06:38:41.9309940Z     >>> # With namedshape (tuple of tuples)
2025-09-07T06:38:41.9310060Z     >>> input = torch.randn(2, 50, names=("N", "features"))
2025-09-07T06:38:41.9310180Z     >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5)))
2025-09-07T06:38:41.9310250Z     >>> output = unflatten(input)
2025-09-07T06:38:41.9310290Z     >>> output.size()
2025-09-07T06:38:41.9310350Z     torch.Size([2, 2, 5, 5])
2025-09-07T06:38:41.9310370Z 
2025-09-07T06:38:41.9310530Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.9310530Z 
2025-09-07T06:38:41.9310930Z msg = Cannot scrape callname=SyncBatchNorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=603.
2025-09-07T06:38:41.9311080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.9311190Z Applies Batch Normalization over a N-Dimensional input.
2025-09-07T06:38:41.9311200Z 
2025-09-07T06:38:41.9311410Z     The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper
2025-09-07T06:38:41.9311560Z     `Batch Normalization: Accelerating Deep Network Training by Reducing
2025-09-07T06:38:41.9311690Z     Internal Covariate Shift <https://arxiv.org/abs/1502.03167>`__ .
2025-09-07T06:38:41.9311700Z 
2025-09-07T06:38:41.9311740Z     .. math::
2025-09-07T06:38:41.9311750Z 
2025-09-07T06:38:41.9311880Z         y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta
2025-09-07T06:38:41.9311880Z 
2025-09-07T06:38:41.9312020Z     The mean and standard-deviation are calculated per-dimension over all
2025-09-07T06:38:41.9312160Z     mini-batches of the same process groups. :math:`\gamma` and :math:`\beta`
2025-09-07T06:38:41.9312310Z     are learnable parameter vectors of size `C` (where `C` is the input size).
2025-09-07T06:38:41.9312460Z     By default, the elements of :math:`\gamma` are sampled from
2025-09-07T06:38:41.9312590Z     :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0.
2025-09-07T06:38:41.9312750Z     The standard-deviation is calculated via the biased estimator, equivalent to
2025-09-07T06:38:41.9312810Z     `torch.var(input, unbiased=False)`.
2025-09-07T06:38:41.9312820Z 
2025-09-07T06:38:41.9312960Z     Also by default, during training this layer keeps running estimates of its
2025-09-07T06:38:41.9313100Z     computed mean and variance, which are then used for normalization during
2025-09-07T06:38:41.9313240Z     evaluation. The running estimates are kept with a default :attr:`momentum`
2025-09-07T06:38:41.9313290Z     of 0.1.
2025-09-07T06:38:41.9313290Z 
2025-09-07T06:38:41.9313430Z     If :attr:`track_running_stats` is set to ``False``, this layer then does not
2025-09-07T06:38:41.9313560Z     keep running estimates, and batch statistics are instead used during
2025-09-07T06:38:41.9313620Z     evaluation time as well.
2025-09-07T06:38:41.9313660Z 
2025-09-07T06:38:41.9313700Z     .. note::
2025-09-07T06:38:41.9313840Z         This :attr:`momentum` argument is different from one used in optimizer
2025-09-07T06:38:41.9313980Z         classes and the conventional notion of momentum. Mathematically, the
2025-09-07T06:38:41.9314060Z         update rule for running statistics here is
2025-09-07T06:38:41.9314230Z         :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`,
2025-09-07T06:38:41.9314360Z         where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the
2025-09-07T06:38:41.9314410Z         new observed value.
2025-09-07T06:38:41.9314410Z 
2025-09-07T06:38:41.9314590Z     Because the Batch Normalization is done for each channel in the ``C`` dimension, computing
2025-09-07T06:38:41.9314790Z     statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch
2025-09-07T06:38:41.9314900Z     Normalization or Spatio-temporal Batch Normalization.
2025-09-07T06:38:41.9314910Z 
2025-09-07T06:38:41.9314990Z     Currently :class:`SyncBatchNorm` only supports
2025-09-07T06:38:41.9315190Z     :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use
2025-09-07T06:38:41.9315320Z     :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert
2025-09-07T06:38:41.9315450Z     :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping
2025-09-07T06:38:41.9315490Z     Network with DDP.
2025-09-07T06:38:41.9315500Z 
2025-09-07T06:38:41.9315600Z     Args:
2025-09-07T06:38:41.9315700Z         num_features: :math:`C` from an expected input of size
2025-09-07T06:38:41.9315760Z             :math:`(N, C, +)`
2025-09-07T06:38:41.9315870Z         eps: a value added to the denominator for numerical stability.
2025-09-07T06:38:41.9315930Z             Default: ``1e-5``
2025-09-07T06:38:41.9316050Z         momentum: the value used for the running_mean and running_var
2025-09-07T06:38:41.9316180Z             computation. Can be set to ``None`` for cumulative moving average
2025-09-07T06:38:41.9316260Z             (i.e. simple average). Default: 0.1
2025-09-07T06:38:41.9316390Z         affine: a boolean value that when set to ``True``, this module has
2025-09-07T06:38:41.9316480Z             learnable affine parameters. Default: ``True``
2025-09-07T06:38:41.9316610Z         track_running_stats: a boolean value that when set to ``True``, this
2025-09-07T06:38:41.9316760Z             module tracks the running mean and variance, and when set to ``False``,
2025-09-07T06:38:41.9316890Z             this module does not track such statistics, and initializes statistics
2025-09-07T06:38:41.9317020Z             buffers :attr:`running_mean` and :attr:`running_var` as ``None``.
2025-09-07T06:38:41.9317160Z             When these buffers are ``None``, this module always uses batch statistics.
2025-09-07T06:38:41.9317260Z             in both training and eval modes. Default: ``True``
2025-09-07T06:38:41.9317440Z         process_group: synchronization of stats happen within each process group
2025-09-07T06:38:41.9317580Z             individually. Default behavior is synchronization across the whole
2025-09-07T06:38:41.9317630Z             world
2025-09-07T06:38:41.9317630Z 
2025-09-07T06:38:41.9317670Z     Shape:
2025-09-07T06:38:41.9317730Z         - Input: :math:`(N, C, +)`
2025-09-07T06:38:41.9317830Z         - Output: :math:`(N, C, +)` (same shape as input)
2025-09-07T06:38:41.9317830Z 
2025-09-07T06:38:41.9317870Z     .. note::
2025-09-07T06:38:41.9318020Z         Synchronization of batchnorm statistics occurs only while training, i.e.
2025-09-07T06:38:41.9318150Z         synchronization is disabled when ``model.eval()`` is set or if
2025-09-07T06:38:41.9318220Z         ``self.training`` is otherwise ``False``.
2025-09-07T06:38:41.9318230Z 
2025-09-07T06:38:41.9318270Z     Examples::
2025-09-07T06:38:41.9318270Z 
2025-09-07T06:38:41.9318330Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:41.9318390Z         >>> # With Learnable Parameters
2025-09-07T06:38:41.9318450Z         >>> m = nn.SyncBatchNorm(100)
2025-09-07T06:38:41.9318560Z         >>> # creating process group (optional)
2025-09-07T06:38:41.9318650Z         >>> # ranks is a list of int identifying rank ids.
2025-09-07T06:38:41.9318710Z         >>> ranks = list(range(8))
2025-09-07T06:38:41.9318760Z         >>> r1, r2 = ranks[:4], ranks[4:]
2025-09-07T06:38:41.9318860Z         >>> # Note: every rank calls into new_group for every
2025-09-07T06:38:41.9318950Z         >>> # process group created, even if that rank is not
2025-09-07T06:38:41.9319000Z         >>> # part of the group.
2025-09-07T06:38:41.9319150Z         >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-09-07T06:38:41.9319280Z         >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-09-07T06:38:41.9319340Z         >>> # Without Learnable Parameters
2025-09-07T06:38:41.9319470Z         >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group)
2025-09-07T06:38:41.9319550Z         >>> input = torch.randn(20, 100, 35, 45, 10)
2025-09-07T06:38:41.9319600Z         >>> output = m(input)
2025-09-07T06:38:41.9319630Z 
2025-09-07T06:38:41.9319700Z         >>> # network is nn.BatchNorm layer
2025-09-07T06:38:41.9319870Z         >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group)
2025-09-07T06:38:41.9319970Z         >>> # only single gpu per process is currently supported
2025-09-07T06:38:41.9320130Z         >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel(
2025-09-07T06:38:41.9320200Z         >>>                         sync_bn_network,
2025-09-07T06:38:41.9320290Z         >>>                         device_ids=[args.local_rank],
2025-09-07T06:38:41.9320370Z         >>>                         output_device=args.local_rank)
2025-09-07T06:38:41.9320410Z     
2025-09-07T06:38:41.9320560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.9458880Z 
2025-09-07T06:38:41.9459530Z msg = Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=830.
2025-09-07T06:38:41.9459710Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.9459940Z Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers.
2025-09-07T06:38:41.9459940Z 
2025-09-07T06:38:41.9459980Z         Args:
2025-09-07T06:38:41.9460140Z             module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers
2025-09-07T06:38:41.9460280Z             process_group (optional): process group to scope synchronization,
2025-09-07T06:38:41.9460350Z                 default is the whole world
2025-09-07T06:38:41.9460350Z 
2025-09-07T06:38:41.9460400Z         Returns:
2025-09-07T06:38:41.9460550Z             The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm`
2025-09-07T06:38:41.9460780Z             layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer,
2025-09-07T06:38:41.9460910Z             a new :class:`torch.nn.SyncBatchNorm` layer object will be returned
2025-09-07T06:38:41.9460960Z             instead.
2025-09-07T06:38:41.9460970Z 
2025-09-07T06:38:41.9461020Z         Example::
2025-09-07T06:38:41.9461020Z 
2025-09-07T06:38:41.9461100Z             >>> # Network with nn.BatchNorm layer
2025-09-07T06:38:41.9461190Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-09-07T06:38:41.9461260Z             >>> module = torch.nn.Sequential(
2025-09-07T06:38:41.9461340Z             >>>            torch.nn.Linear(20, 100),
2025-09-07T06:38:41.9461420Z             >>>            torch.nn.BatchNorm1d(100),
2025-09-07T06:38:41.9461480Z             >>>          ).cuda()
2025-09-07T06:38:41.9461550Z             >>> # creating process group (optional)
2025-09-07T06:38:41.9461650Z             >>> # ranks is a list of int identifying rank ids.
2025-09-07T06:38:41.9461710Z             >>> ranks = list(range(8))
2025-09-07T06:38:41.9461810Z             >>> r1, r2 = ranks[:4], ranks[4:]
2025-09-07T06:38:41.9461910Z             >>> # Note: every rank calls into new_group for every
2025-09-07T06:38:41.9462010Z             >>> # process group created, even if that rank is not
2025-09-07T06:38:41.9462070Z             >>> # part of the group.
2025-09-07T06:38:41.9462150Z             >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:41.9462310Z             >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-09-07T06:38:41.9462440Z             >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-09-07T06:38:41.9462630Z             >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group)
2025-09-07T06:38:41.9462630Z 
2025-09-07T06:38:41.9462680Z         
2025-09-07T06:38:41.9462830Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.9462830Z 
2025-09-07T06:38:41.9463220Z msg = Cannot scrape callname=MaxUnpool2d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=410.
2025-09-07T06:38:41.9463420Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.9463520Z Computes a partial inverse of :class:`MaxPool2d`.
2025-09-07T06:38:41.9463520Z 
2025-09-07T06:38:41.9463710Z     :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost.
2025-09-07T06:38:41.9463710Z 
2025-09-07T06:38:41.9463850Z     :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d`
2025-09-07T06:38:41.9464040Z     including the indices of the maximal values and computes a partial inverse
2025-09-07T06:38:41.9464120Z     in which all non-maximal values are set to zero.
2025-09-07T06:38:41.9464130Z 
2025-09-07T06:38:41.9474040Z     Note:
2025-09-07T06:38:41.9474260Z         This operation may behave nondeterministically when the input indices has repeat values.
2025-09-07T06:38:41.9474510Z         See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information.
2025-09-07T06:38:41.9474510Z 
2025-09-07T06:38:41.9474660Z     .. note:: :class:`MaxPool2d` can map several input sizes to the same output
2025-09-07T06:38:41.9474780Z               sizes. Hence, the inversion process can get ambiguous.
2025-09-07T06:38:41.9474900Z               To accommodate this, you can provide the needed output size
2025-09-07T06:38:41.9475030Z               as an additional argument :attr:`output_size` in the forward call.
2025-09-07T06:38:41.9475110Z               See the Inputs and Example below.
2025-09-07T06:38:41.9475110Z 
2025-09-07T06:38:41.9475150Z     Args:
2025-09-07T06:38:41.9475270Z         kernel_size (int or tuple): Size of the max pooling window.
2025-09-07T06:38:41.9475380Z         stride (int or tuple): Stride of the max pooling window.
2025-09-07T06:38:41.9475460Z             It is set to :attr:`kernel_size` by default.
2025-09-07T06:38:41.9475670Z         padding (int or tuple): Padding that was added to the input
2025-09-07T06:38:41.9475670Z 
2025-09-07T06:38:41.9475720Z     Inputs:
2025-09-07T06:38:41.9475790Z         - `input`: the input Tensor to invert
2025-09-07T06:38:41.9475970Z         - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d`
2025-09-07T06:38:41.9476070Z         - `output_size` (optional): the targeted output size
2025-09-07T06:38:41.9476070Z 
2025-09-07T06:38:41.9476120Z     Shape:
2025-09-07T06:38:41.9476240Z         - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`.
2025-09-07T06:38:41.9476370Z         - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where
2025-09-07T06:38:41.9476370Z 
2025-09-07T06:38:41.9476420Z           .. math::
2025-09-07T06:38:41.9476580Z             H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]}
2025-09-07T06:38:41.9476590Z 
2025-09-07T06:38:41.9476640Z           .. math::
2025-09-07T06:38:41.9476850Z             W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]}
2025-09-07T06:38:41.9476860Z 
2025-09-07T06:38:41.9476970Z           or as given by :attr:`output_size` in the call operator
2025-09-07T06:38:41.9476970Z 
2025-09-07T06:38:41.9477020Z     Example::
2025-09-07T06:38:41.9477020Z 
2025-09-07T06:38:41.9477120Z         >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True)
2025-09-07T06:38:41.9477190Z         >>> unpool = nn.MaxUnpool2d(2, stride=2)
2025-09-07T06:38:41.9477290Z         >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.],
2025-09-07T06:38:41.9477360Z                                     [ 5.,  6.,  7.,  8.],
2025-09-07T06:38:41.9477430Z                                     [ 9., 10., 11., 12.],
2025-09-07T06:38:41.9477500Z                                     [13., 14., 15., 16.]]]])
2025-09-07T06:38:41.9477570Z         >>> output, indices = pool(input)
2025-09-07T06:38:41.9477630Z         >>> unpool(output, indices)
2025-09-07T06:38:41.9477690Z         tensor([[[[  0.,   0.,   0.,   0.],
2025-09-07T06:38:41.9477780Z                   [  0.,   6.,   0.,   8.],
2025-09-07T06:38:41.9477830Z                   [  0.,   0.,   0.,   0.],
2025-09-07T06:38:41.9477890Z                   [  0.,  14.,   0.,  16.]]]])
2025-09-07T06:38:41.9478020Z         >>> # Now using output_size to resolve an ambiguous size for the inverse
2025-09-07T06:38:41.9478130Z         >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.,  5.],
2025-09-07T06:38:41.9478200Z                                     [ 6.,  7.,  8.,  9., 10.],
2025-09-07T06:38:41.9478270Z                                     [11., 12., 13., 14., 15.],
2025-09-07T06:38:41.9478340Z                                     [16., 17., 18., 19., 20.]]]])
2025-09-07T06:38:41.9478410Z         >>> output, indices = pool(input)
2025-09-07T06:38:41.9478510Z         >>> # This call will not work without specifying output_size
2025-09-07T06:38:41.9478610Z         >>> unpool(output, indices, output_size=input.size())
2025-09-07T06:38:41.9478670Z         tensor([[[[ 0.,  0.,  0.,  0.,  0.],
2025-09-07T06:38:41.9478730Z                   [ 0.,  7.,  0.,  9.,  0.],
2025-09-07T06:38:41.9478790Z                   [ 0.,  0.,  0.,  0.,  0.],
2025-09-07T06:38:41.9478850Z                   [ 0., 17.,  0., 19.,  0.]]]])
2025-09-07T06:38:41.9478850Z 
2025-09-07T06:38:41.9478850Z 
2025-09-07T06:38:41.9478890Z     
2025-09-07T06:38:41.9479070Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:41.9479070Z 
2025-09-07T06:38:41.9479510Z msg = Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1798.
2025-09-07T06:38:41.9479670Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:41.9479790Z Creates a criterion that measures the triplet loss given input
2025-09-07T06:38:41.9479950Z     tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor,
2025-09-07T06:38:41.9480080Z     positive, and negative examples, respectively), and a nonnegative,
2025-09-07T06:38:41.9480240Z     real-valued function ("distance function") used to compute the relationship
2025-09-07T06:38:41.9480370Z     between the anchor and positive example ("positive distance") and the
2025-09-07T06:38:41.9480460Z     anchor and negative example ("negative distance").
2025-09-07T06:38:41.9480460Z 
2025-09-07T06:38:41.9480590Z     The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``)
2025-09-07T06:38:41.9480640Z     can be described as:
2025-09-07T06:38:41.9480650Z 
2025-09-07T06:38:41.9480690Z     .. math::
2025-09-07T06:38:41.9480780Z         \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad
2025-09-07T06:38:41.9480870Z         l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\}
2025-09-07T06:38:41.9480870Z 
2025-09-07T06:38:41.9481020Z     where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function
2025-09-07T06:38:41.9481240Z     quantifying the closeness of two tensors, referred to as the :attr:`distance_function`;
2025-09-07T06:38:41.9481380Z     and :math:`margin` is a nonnegative margin representing the minimum difference
2025-09-07T06:38:41.9481530Z     between the positive and negative distances that is required for the loss to
2025-09-07T06:38:41.9481670Z     be 0.  The input tensors have :math:`N` elements each and can be of any shape
2025-09-07T06:38:41.9481740Z     that the distance function can handle.
2025-09-07T06:38:41.9481740Z 
2025-09-07T06:38:41.9481800Z     If :attr:`reduction` is not ``'none'``
2025-09-07T06:38:41.9481860Z     (default ``'mean'``), then:
2025-09-07T06:38:41.9481860Z 
2025-09-07T06:38:41.9481910Z     .. math::
2025-09-07T06:38:41.9481950Z         \ell(x, y) =
2025-09-07T06:38:41.9482000Z         \begin{cases}
2025-09-07T06:38:41.9482120Z             \operatorname{mean}(L), &  \text{if reduction} = \text{`mean';}\\
2025-09-07T06:38:41.9482240Z             \operatorname{sum}(L),  &  \text{if reduction} = \text{`sum'.}
2025-09-07T06:38:41.9482290Z         \end{cases}
2025-09-07T06:38:41.9482340Z 
2025-09-07T06:38:41.9482480Z     See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet
2025-09-07T06:38:41.9482630Z     loss for input tensors using the :math:`l_p` distance as the distance function.
2025-09-07T06:38:41.9482630Z 
2025-09-07T06:38:41.9482680Z     Args:
2025-09-07T06:38:41.9482870Z         distance_function (Callable, optional): A nonnegative, real-valued function that
2025-09-07T06:38:41.9482990Z             quantifies the closeness of two tensors. If not specified,
2025-09-07T06:38:41.9483090Z             `nn.PairwiseDistance` will be used.  Default: ``None``
2025-09-07T06:38:41.9483250Z         margin (float, optional): A nonnegative margin representing the minimum difference
2025-09-07T06:38:41.9483410Z             between the positive and negative distances required for the loss to be 0. Larger
2025-09-07T06:38:41.9483580Z             margins penalize cases where the negative examples are not distant enough from the
2025-09-07T06:38:41.9483690Z             anchors, relative to the positives. Default: :math:`1`.
2025-09-07T06:38:41.9483840Z         swap (bool, optional): Whether to use the distance swap described in the paper
2025-09-07T06:38:41.9483990Z             `Learning shallow convolutional feature descriptors with triplet losses` by
2025-09-07T06:38:41.9484150Z             V. Balntas, E. Riba et al. If True, and if the positive example is closer to the
2025-09-07T06:38:41.9484310Z             negative example than the anchor is, swaps the positive example and the anchor in
2025-09-07T06:38:41.9484390Z             the loss computation. Default: ``False``.
2025-09-07T06:38:41.9484560Z         reduction (str, optional): Specifies the (optional) reduction to apply to the output:
2025-09-07T06:38:41.9484670Z             ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-09-07T06:38:41.9484820Z             ``'mean'``: the sum of the output will be divided by the number of
2025-09-07T06:38:41.9484970Z             elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'``
2025-09-07T06:38:41.9484970Z 
2025-09-07T06:38:41.9484970Z 
2025-09-07T06:38:41.9485020Z     Shape:
2025-09-07T06:38:41.9485170Z         - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions
2025-09-07T06:38:41.9485240Z           as supported by the distance function.
2025-09-07T06:38:41.9485400Z         - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar
2025-09-07T06:38:41.9485440Z           otherwise.
2025-09-07T06:38:41.9485450Z 
2025-09-07T06:38:41.9485490Z     Examples:
2025-09-07T06:38:41.9485490Z 
2025-09-07T06:38:41.9485550Z     >>> # Initialize embeddings
2025-09-07T06:38:41.9485610Z     >>> embedding = nn.Embedding(1000, 128)
2025-09-07T06:38:41.9485690Z     >>> anchor_ids = torch.randint(0, 1000, (1,))
2025-09-07T06:38:41.9485770Z     >>> positive_ids = torch.randint(0, 1000, (1,))
2025-09-07T06:38:41.9485880Z     >>> negative_ids = torch.randint(0, 1000, (1,))
2025-09-07T06:38:41.9485940Z     >>> anchor = embedding(anchor_ids)
2025-09-07T06:38:41.9486010Z     >>> positive = embedding(positive_ids)
2025-09-07T06:38:41.9486070Z     >>> negative = embedding(negative_ids)
2025-09-07T06:38:41.9486110Z     >>>
2025-09-07T06:38:41.9486170Z     >>> # Built-in Distance Function
2025-09-07T06:38:41.9486220Z     >>> triplet_loss = \
2025-09-07T06:38:41.9486390Z     >>>     nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance())
2025-09-07T06:38:41.9486490Z     >>> output = triplet_loss(anchor, positive, negative)
2025-09-07T06:38:41.9486540Z     >>> output.backward()
2025-09-07T06:38:41.9486580Z     >>>
2025-09-07T06:38:41.9486640Z     >>> # Custom Distance Function
2025-09-07T06:38:41.9486690Z     >>> def l_infinity(x1, x2):
2025-09-07T06:38:41.9486790Z     >>>     return torch.max(torch.abs(x1 - x2), dim=1).values
2025-09-07T06:38:41.9486830Z     >>>
2025-09-07T06:38:41.9486940Z     >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time")
2025-09-07T06:38:41.9487050Z     >>> triplet_loss = (
2025-09-07T06:38:41.9487220Z     >>>     nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5))
2025-09-07T06:38:41.9487310Z     >>> output = triplet_loss(anchor, positive, negative)
2025-09-07T06:38:41.9487360Z     >>> output.backward()
2025-09-07T06:38:41.9487400Z     >>>
2025-09-07T06:38:41.9487490Z     >>> # Custom Distance Function (Lambda)
2025-09-07T06:38:41.9487540Z     >>> triplet_loss = (
2025-09-07T06:38:41.9487620Z     >>>     nn.TripletMarginWithDistanceLoss(
2025-09-07T06:38:41.9487750Z     >>>         distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y)))
2025-09-07T06:38:41.9487840Z     >>> output = triplet_loss(anchor, positive, negative)
2025-09-07T06:38:41.9487890Z     >>> output.backward()
2025-09-07T06:38:41.9487900Z 
2025-09-07T06:38:41.9487940Z     Reference:
2025-09-07T06:38:41.9488120Z         V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses:
2025-09-07T06:38:41.9488260Z         https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html
2025-09-07T06:38:41.9488300Z     
2025-09-07T06:38:41.9488460Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17))
2025-09-07T06:38:42.0286910Z 
2025-09-07T06:38:42.0287430Z msg = Cannot scrape callname=CTCLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1933.
2025-09-07T06:38:42.0287610Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.0287700Z The Connectionist Temporal Classification loss.
2025-09-07T06:38:42.0287710Z 
2025-09-07T06:38:42.0287940Z     Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the
2025-09-07T06:38:42.0288340Z     probability of possible alignments of input to target, producing a loss value which is differentiable
2025-09-07T06:38:42.0288550Z     with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which
2025-09-07T06:38:42.0288750Z     limits the length of the target sequence such that it must be :math:`\leq` the input length.
2025-09-07T06:38:42.0288750Z 
2025-09-07T06:38:42.0288800Z     Args:
2025-09-07T06:38:42.0288910Z         blank (int, optional): blank label. Default :math:`0`.
2025-09-07T06:38:42.0289060Z         reduction (str, optional): Specifies the reduction to apply to the output:
2025-09-07T06:38:42.0289180Z             ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-09-07T06:38:42.0289310Z             ``'mean'``: the output losses will be divided by the target lengths and
2025-09-07T06:38:42.0289470Z             then the mean over the batch is taken, ``'sum'``: the output losses will be summed.
2025-09-07T06:38:42.0289530Z             Default: ``'mean'``
2025-09-07T06:38:42.0289600Z         zero_infinity (bool, optional):
2025-09-07T06:38:42.0289800Z             Whether to zero infinite losses and the associated gradients.
2025-09-07T06:38:42.0289860Z             Default: ``False``
2025-09-07T06:38:42.0289970Z             Infinite losses mainly occur when the inputs are too short
2025-09-07T06:38:42.0290040Z             to be aligned to the targets.
2025-09-07T06:38:42.0290040Z 
2025-09-07T06:38:42.0290090Z     Shape:
2025-09-07T06:38:42.0290210Z         - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`,
2025-09-07T06:38:42.0290320Z           where :math:`T = \text{input length}`,
2025-09-07T06:38:42.0290390Z           :math:`N = \text{batch size}`, and
2025-09-07T06:38:42.0290490Z           :math:`C = \text{number of classes (including blank)}`.
2025-09-07T06:38:42.0290630Z           The logarithmized probabilities of the outputs (e.g. obtained with
2025-09-07T06:38:42.0290720Z           :func:`torch.nn.functional.log_softmax`).
2025-09-07T06:38:42.0290800Z         - Targets: Tensor of size :math:`(N, S)` or
2025-09-07T06:38:42.0290900Z           :math:`(\operatorname{sum}(\text{target\_lengths}))`,
2025-09-07T06:38:42.0291040Z           where :math:`N = \text{batch size}` and
2025-09-07T06:38:42.0291140Z           :math:`S = \text{max target length, if shape is } (N, S)`.
2025-09-07T06:38:42.0291270Z           It represents the target sequences. Each element in the target
2025-09-07T06:38:42.0291470Z           sequence is a class index. And the target index cannot be blank (default=0).
2025-09-07T06:38:42.0291570Z           In the :math:`(N, S)` form, targets are padded to the
2025-09-07T06:38:42.0291660Z           length of the longest sequence, and stacked.
2025-09-07T06:38:42.0291780Z           In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form,
2025-09-07T06:38:42.0291860Z           the targets are assumed to be un-padded and
2025-09-07T06:38:42.0291930Z           concatenated within 1 dimension.
2025-09-07T06:38:42.0292060Z         - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-09-07T06:38:42.0292180Z           where :math:`N = \text{batch size}`. It represents the lengths of the
2025-09-07T06:38:42.0292310Z           inputs (must each be :math:`\leq T`). And the lengths are specified
2025-09-07T06:38:42.0292450Z           for each sequence to achieve masking under the assumption that sequences
2025-09-07T06:38:42.0292510Z           are padded to equal lengths.
2025-09-07T06:38:42.0292640Z         - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-09-07T06:38:42.0292780Z           where :math:`N = \text{batch size}`. It represents lengths of the targets.
2025-09-07T06:38:42.0292910Z           Lengths are specified for each sequence to achieve masking under the
2025-09-07T06:38:42.0293060Z           assumption that sequences are padded to equal lengths. If target shape is
2025-09-07T06:38:42.0293160Z           :math:`(N,S)`, target_lengths are effectively the stop index
2025-09-07T06:38:42.0293350Z           :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for
2025-09-07T06:38:42.0293470Z           each target in a batch. Lengths must each be :math:`\leq S`
2025-09-07T06:38:42.0293620Z           If the targets are given as a 1d tensor that is the concatenation of individual
2025-09-07T06:38:42.0293760Z           targets, the target_lengths must add up to the total length of the tensor.
2025-09-07T06:38:42.0293880Z         - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or
2025-09-07T06:38:42.0294020Z           ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or
2025-09-07T06:38:42.0294150Z           :math:`()` if input is unbatched, where :math:`N = \text{batch size}`.
2025-09-07T06:38:42.0294150Z 
2025-09-07T06:38:42.0294200Z     Examples:
2025-09-07T06:38:42.0294200Z 
2025-09-07T06:38:42.0294260Z         >>> # Target are to be padded
2025-09-07T06:38:42.0294330Z         >>> T = 50  # Input sequence length
2025-09-07T06:38:42.0294410Z         >>> C = 20  # Number of classes (including blank)
2025-09-07T06:38:42.0294540Z         >>> N = 16  # Batch size
2025-09-07T06:38:42.0294680Z         >>> S = 30  # Target sequence length of longest target in batch (padding length)
2025-09-07T06:38:42.0294800Z         >>> S_min = 10  # Minimum target length, for demonstration purposes
2025-09-07T06:38:42.0294840Z         >>>
2025-09-07T06:38:42.0294970Z         >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-09-07T06:38:42.0295090Z         >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-09-07T06:38:42.0295140Z         >>>
2025-09-07T06:38:42.0295260Z         >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-09-07T06:38:42.0295400Z         >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long)
2025-09-07T06:38:42.0295440Z         >>>
2025-09-07T06:38:42.0295570Z         >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-09-07T06:38:42.0295640Z         >>> target_lengths = torch.randint(
2025-09-07T06:38:42.0295690Z         ...     low=S_min,
2025-09-07T06:38:42.0295790Z         ...     high=S,
2025-09-07T06:38:42.0295840Z         ...     size=(N,),
2025-09-07T06:38:42.0295900Z         ...     dtype=torch.long,
2025-09-07T06:38:42.0295940Z         ... )
2025-09-07T06:38:42.0296000Z         >>> ctc_loss = nn.CTCLoss()
2025-09-07T06:38:42.0296120Z         >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-09-07T06:38:42.0296190Z         >>> loss.backward()
2025-09-07T06:38:42.0296230Z         >>>
2025-09-07T06:38:42.0296280Z         >>>
2025-09-07T06:38:42.0296340Z         >>> # Target are to be un-padded
2025-09-07T06:38:42.0296410Z         >>> T = 50  # Input sequence length
2025-09-07T06:38:42.0296480Z         >>> C = 20  # Number of classes (including blank)
2025-09-07T06:38:42.0296540Z         >>> N = 16  # Batch size
2025-09-07T06:38:42.0296580Z         >>>
2025-09-07T06:38:42.0296700Z         >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-09-07T06:38:42.0296830Z         >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-09-07T06:38:42.0296960Z         >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-09-07T06:38:42.0297000Z         >>>
2025-09-07T06:38:42.0297130Z         >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-09-07T06:38:42.0297270Z         >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long)
2025-09-07T06:38:42.0297330Z         >>> target = torch.randint(
2025-09-07T06:38:42.0297380Z         ...     low=1,
2025-09-07T06:38:42.0297420Z         ...     high=C,
2025-09-07T06:38:42.0297490Z         ...     size=(sum(target_lengths),),
2025-09-07T06:38:42.0297550Z         ...     dtype=torch.long,
2025-09-07T06:38:42.0297590Z         ... )
2025-09-07T06:38:42.0297640Z         >>> ctc_loss = nn.CTCLoss()
2025-09-07T06:38:42.0297800Z         >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-09-07T06:38:42.0297860Z         >>> loss.backward()
2025-09-07T06:38:42.0297900Z         >>>
2025-09-07T06:38:42.0297940Z         >>>
2025-09-07T06:38:42.0298060Z         >>> # Target are to be un-padded and unbatched (effectively N=1)
2025-09-07T06:38:42.0298120Z         >>> T = 50  # Input sequence length
2025-09-07T06:38:42.0298200Z         >>> C = 20  # Number of classes (including blank)
2025-09-07T06:38:42.0298240Z         >>>
2025-09-07T06:38:42.0298360Z         >>> # Initialize random batch of input vectors, for *size = (T,C)
2025-09-07T06:38:42.0298450Z         >>> # xdoctest: +SKIP("FIXME: error in doctest")
2025-09-07T06:38:42.0298570Z         >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_()
2025-09-07T06:38:42.0298660Z         >>> input_lengths = torch.tensor(T, dtype=torch.long)
2025-09-07T06:38:42.0298700Z         >>>
2025-09-07T06:38:42.0298820Z         >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-09-07T06:38:42.0298960Z         >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long)
2025-09-07T06:38:42.0299070Z         >>> target = torch.randint(
2025-09-07T06:38:42.0299110Z         ...     low=1,
2025-09-07T06:38:42.0299160Z         ...     high=C,
2025-09-07T06:38:42.0299210Z         ...     size=(target_lengths,),
2025-09-07T06:38:42.0299270Z         ...     dtype=torch.long,
2025-09-07T06:38:42.0299310Z         ... )
2025-09-07T06:38:42.0299360Z         >>> ctc_loss = nn.CTCLoss()
2025-09-07T06:38:42.0299480Z         >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-09-07T06:38:42.0299530Z         >>> loss.backward()
2025-09-07T06:38:42.0299530Z 
2025-09-07T06:38:42.0299590Z     Reference:
2025-09-07T06:38:42.0299690Z         A. Graves et al.: Connectionist Temporal Classification:
2025-09-07T06:38:42.0299830Z         Labelling Unsegmented Sequence Data with Recurrent Neural Networks:
2025-09-07T06:38:42.0299940Z         https://www.cs.toronto.edu/~graves/icml_2006.pdf
2025-09-07T06:38:42.0299940Z 
2025-09-07T06:38:42.0299990Z     Note:
2025-09-07T06:38:42.0300140Z         In order to use CuDNN, the following must be satisfied: :attr:`targets` must be
2025-09-07T06:38:42.0300350Z         in concatenated format, all :attr:`input_lengths` must be `T`.  :math:`blank=0`,
2025-09-07T06:38:42.0300490Z         :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of
2025-09-07T06:38:42.0300550Z         dtype :attr:`torch.int32`.
2025-09-07T06:38:42.0300560Z 
2025-09-07T06:38:42.0300860Z         The regular implementation uses the (more common in PyTorch) `torch.long` dtype.
2025-09-07T06:38:42.0300870Z 
2025-09-07T06:38:42.0300870Z 
2025-09-07T06:38:42.0300920Z     Note:
2025-09-07T06:38:42.0301070Z         In some circumstances when using the CUDA backend with CuDNN, this operator
2025-09-07T06:38:42.0301220Z         may select a nondeterministic algorithm to increase performance. If this is
2025-09-07T06:38:42.0301370Z         undesirable, you can try to make the operation deterministic (potentially at
2025-09-07T06:38:42.0301510Z         a performance cost) by setting ``torch.backends.cudnn.deterministic =
2025-09-07T06:38:42.0301560Z         True``.
2025-09-07T06:38:42.0301680Z         Please see the notes on :doc:`/notes/randomness` for background.
2025-09-07T06:38:42.0301720Z     
2025-09-07T06:38:42.0301870Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.0301880Z 
2025-09-07T06:38:42.0302290Z msg = Cannot scrape callname=Transformer.forward in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py line=186.
2025-09-07T06:38:42.0302460Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.0302540Z Take in and process masked source/target sequences.
2025-09-07T06:38:42.0302550Z 
2025-09-07T06:38:42.0302600Z         .. note::
2025-09-07T06:38:42.0302600Z 
2025-09-07T06:38:42.0302880Z             If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are
2025-09-07T06:38:42.0302980Z             not allowed to participate in the attention,
2025-09-07T06:38:42.0303100Z             which is the opposite of the definition for :attr:`attn_mask`
2025-09-07T06:38:42.0303210Z             in :func:`torch.nn.functional.scaled_dot_product_attention`.
2025-09-07T06:38:42.0303220Z 
2025-09-07T06:38:42.0303260Z         Args:
2025-09-07T06:38:42.0303340Z             src: the sequence to the encoder (required).
2025-09-07T06:38:42.0303430Z             tgt: the sequence to the decoder (required).
2025-09-07T06:38:42.0303530Z             src_mask: the additive mask for the src sequence (optional).
2025-09-07T06:38:42.0303650Z             tgt_mask: the additive mask for the tgt sequence (optional).
2025-09-07T06:38:42.0303780Z             memory_mask: the additive mask for the encoder output (optional).
2025-09-07T06:38:42.0303910Z             src_key_padding_mask: the Tensor mask for src keys per batch (optional).
2025-09-07T06:38:42.0304080Z             tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional).
2025-09-07T06:38:42.0304250Z             memory_key_padding_mask: the Tensor mask for memory keys per batch (optional).
2025-09-07T06:38:42.0304380Z             src_is_causal: If specified, applies a causal mask as ``src_mask``.
2025-09-07T06:38:42.0304470Z                 Default: ``None``; try to detect a causal mask.
2025-09-07T06:38:42.0304520Z                 Warning:
2025-09-07T06:38:42.0304630Z                 ``src_is_causal`` provides a hint that ``src_mask`` is
2025-09-07T06:38:42.0304740Z                 the causal mask. Providing incorrect hints can result in
2025-09-07T06:38:42.0304840Z                 incorrect execution, including forward and backward
2025-09-07T06:38:42.0304890Z                 compatibility.
2025-09-07T06:38:42.0305020Z             tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``.
2025-09-07T06:38:42.0305120Z                 Default: ``None``; try to detect a causal mask.
2025-09-07T06:38:42.0305170Z                 Warning:
2025-09-07T06:38:42.0305300Z                 ``tgt_is_causal`` provides a hint that ``tgt_mask`` is
2025-09-07T06:38:42.0305410Z                 the causal mask. Providing incorrect hints can result in
2025-09-07T06:38:42.0305510Z                 incorrect execution, including forward and backward
2025-09-07T06:38:42.0305560Z                 compatibility.
2025-09-07T06:38:42.0305690Z             memory_is_causal: If specified, applies a causal mask as
2025-09-07T06:38:42.0305740Z                 ``memory_mask``.
2025-09-07T06:38:42.0305810Z                 Default: ``False``.
2025-09-07T06:38:42.0305850Z                 Warning:
2025-09-07T06:38:42.0305940Z                 ``memory_is_causal`` provides a hint that
2025-09-07T06:38:42.0306040Z                 ``memory_mask`` is the causal mask. Providing incorrect
2025-09-07T06:38:42.0306140Z                 hints can result in incorrect execution, including
2025-09-07T06:38:42.0306210Z                 forward and backward compatibility.
2025-09-07T06:38:42.0306220Z 
2025-09-07T06:38:42.0306260Z         Shape:
2025-09-07T06:38:42.0306420Z             - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or
2025-09-07T06:38:42.0306490Z               `(N, S, E)` if `batch_first=True`.
2025-09-07T06:38:42.0306630Z             - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-09-07T06:38:42.0306710Z               `(N, T, E)` if `batch_first=True`.
2025-09-07T06:38:42.0306820Z             - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`.
2025-09-07T06:38:42.0306940Z             - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`.
2025-09-07T06:38:42.0307000Z             - memory_mask: :math:`(T, S)`.
2025-09-07T06:38:42.0307150Z             - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-09-07T06:38:42.0307330Z             - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`.
2025-09-07T06:38:42.0307490Z             - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-09-07T06:38:42.0307490Z 
2025-09-07T06:38:42.0307680Z             Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked
2025-09-07T06:38:42.0307810Z             positions. If a BoolTensor is provided, positions with ``True``
2025-09-07T06:38:42.0307970Z             are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor
2025-09-07T06:38:42.0308080Z             is provided, it will be added to the attention weight.
2025-09-07T06:38:42.0308260Z             [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by
2025-09-07T06:38:42.0308390Z             the attention. If a BoolTensor is provided, the positions with the
2025-09-07T06:38:42.0308580Z             value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged.
2025-09-07T06:38:42.0308610Z 
2025-09-07T06:38:42.0308770Z             - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-09-07T06:38:42.0308850Z               `(N, T, E)` if `batch_first=True`.
2025-09-07T06:38:42.0308850Z 
2025-09-07T06:38:42.0309000Z             Note: Due to the multi-head attention architecture in the transformer model,
2025-09-07T06:38:42.0309150Z             the output sequence length of a transformer is same as the input sequence
2025-09-07T06:38:42.0309220Z             (i.e. target) length of the decoder.
2025-09-07T06:38:42.0309220Z 
2025-09-07T06:38:42.0309410Z             where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the
2025-09-07T06:38:42.0309490Z             batch size, :math:`E` is the feature number
2025-09-07T06:38:42.0309500Z 
2025-09-07T06:38:42.0309550Z         Examples:
2025-09-07T06:38:42.0309600Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:42.0309680Z             >>> output = transformer_model(
2025-09-07T06:38:42.0309800Z             ...     src, tgt, src_mask=src_mask, tgt_mask=tgt_mask
2025-09-07T06:38:42.0309850Z             ... )
2025-09-07T06:38:42.0309890Z         
2025-09-07T06:38:42.0310040Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.0352220Z 
2025-09-07T06:38:42.0352800Z msg = Cannot scrape callname=EmbeddingBag in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=272.
2025-09-07T06:38:42.0353000Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.0353200Z Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings.
2025-09-07T06:38:42.0353200Z 
2025-09-07T06:38:42.0353400Z     For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`,
2025-09-07T06:38:42.0353470Z     and with 2D inputs, this class
2025-09-07T06:38:42.0353470Z 
2025-09-07T06:38:42.0353660Z         * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``,
2025-09-07T06:38:42.0353860Z         * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``,
2025-09-07T06:38:42.0354040Z         * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``.
2025-09-07T06:38:42.0354050Z 
2025-09-07T06:38:42.0354270Z     However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these
2025-09-07T06:38:42.0354320Z     operations.
2025-09-07T06:38:42.0354320Z 
2025-09-07T06:38:42.0354480Z     EmbeddingBag also supports per-sample weights as an argument to the forward
2025-09-07T06:38:42.0354630Z     pass. This scales the output of the Embedding before performing a weighted
2025-09-07T06:38:42.0354830Z     reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the
2025-09-07T06:38:42.0354970Z     only supported ``mode`` is ``"sum"``, which computes a weighted sum according to
2025-09-07T06:38:42.0355040Z     :attr:`per_sample_weights`.
2025-09-07T06:38:42.0355040Z 
2025-09-07T06:38:42.0355090Z     Args:
2025-09-07T06:38:42.0355210Z         num_embeddings (int): size of the dictionary of embeddings
2025-09-07T06:38:42.0355310Z         embedding_dim (int): the size of each embedding vector
2025-09-07T06:38:42.0355510Z         max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm`
2025-09-07T06:38:42.0355620Z                                     is renormalized to have norm :attr:`max_norm`.
2025-09-07T06:38:42.0355830Z         norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``.
2025-09-07T06:38:42.0356030Z         scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of
2025-09-07T06:38:42.0356200Z                                                 the words in the mini-batch. Default ``False``.
2025-09-07T06:38:42.0356320Z                                                 Note: this option is not supported when ``mode="max"``.
2025-09-07T06:38:42.0356470Z         mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag.
2025-09-07T06:38:42.0356610Z                                  ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights`
2025-09-07T06:38:42.0356750Z                                  into consideration. ``"mean"`` computes the average of the values
2025-09-07T06:38:42.0356860Z                                  in the bag, ``"max"`` computes the max value over each bag.
2025-09-07T06:38:42.0356940Z                                  Default: ``"mean"``
2025-09-07T06:38:42.0357130Z         sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See
2025-09-07T06:38:42.0357290Z                                  Notes for more details regarding sparse gradients. Note: this option is not
2025-09-07T06:38:42.0357400Z                                  supported when ``mode="max"``.
2025-09-07T06:38:42.0357620Z         include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element
2025-09-07T06:38:42.0357760Z                                       is equivalent to the size of `indices`. This matches the CSR format.
2025-09-07T06:38:42.0357980Z         padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the
2025-09-07T06:38:42.0358150Z                                      gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated
2025-09-07T06:38:42.0358300Z                                      during training, i.e. it remains as a fixed "pad". For a newly constructed
2025-09-07T06:38:42.0358460Z                                      EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all
2025-09-07T06:38:42.0358620Z                                      zeros, but can be updated to another value to be used as the padding vector.
2025-09-07T06:38:42.0358760Z                                      Note that the embedding vector at :attr:`padding_idx` is excluded from the
2025-09-07T06:38:42.0358830Z                                      reduction.
2025-09-07T06:38:42.0358840Z 
2025-09-07T06:38:42.0358880Z     Attributes:
2025-09-07T06:38:42.0359070Z         weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)`
2025-09-07T06:38:42.0359160Z                          initialized from :math:`\mathcal{N}(0, 1)`.
2025-09-07T06:38:42.0359160Z 
2025-09-07T06:38:42.0359220Z     Examples::
2025-09-07T06:38:42.0359220Z 
2025-09-07T06:38:42.0359320Z         >>> # an EmbeddingBag module containing 10 tensors of size 3
2025-09-07T06:38:42.0359420Z         >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum')
2025-09-07T06:38:42.0359570Z         >>> # a batch of 2 samples of 4 indices each
2025-09-07T06:38:42.0359690Z         >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long)
2025-09-07T06:38:42.0359790Z         >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-09-07T06:38:42.0359870Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-09-07T06:38:42.0359940Z         >>> embedding_sum(input, offsets)
2025-09-07T06:38:42.0360010Z         tensor([[-0.8861, -5.4350, -0.0523],
2025-09-07T06:38:42.0360070Z                 [ 1.1306, -2.5798, -1.0044]])
2025-09-07T06:38:42.0360070Z 
2025-09-07T06:38:42.0360130Z         >>> # Example with padding_idx
2025-09-07T06:38:42.0360260Z         >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2)
2025-09-07T06:38:42.0360380Z         >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long)
2025-09-07T06:38:42.0360470Z         >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-09-07T06:38:42.0360530Z         >>> embedding_sum(input, offsets)
2025-09-07T06:38:42.0360630Z         tensor([[ 0.0000,  0.0000,  0.0000],
2025-09-07T06:38:42.0360690Z                 [-0.7082,  3.2145, -2.6251]])
2025-09-07T06:38:42.0360690Z 
2025-09-07T06:38:42.0360800Z         >>> # An EmbeddingBag can be loaded from an Embedding like so
2025-09-07T06:38:42.0360890Z         >>> embedding = nn.Embedding(10, 3, padding_idx=2)
2025-09-07T06:38:42.0360980Z         >>> embedding_sum = nn.EmbeddingBag.from_pretrained(
2025-09-07T06:38:42.0361040Z                 embedding.weight,
2025-09-07T06:38:42.0361120Z                 padding_idx=embedding.padding_idx,
2025-09-07T06:38:42.0361170Z                 mode='sum')
2025-09-07T06:38:42.0361210Z     
2025-09-07T06:38:42.0361370Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.0361370Z 
2025-09-07T06:38:42.0361800Z msg = Cannot scrape callname=batch_isend_irecv in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2705.
2025-09-07T06:38:42.0361960Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.0361980Z 
2025-09-07T06:38:42.0362130Z Send or Receive a batch of tensors asynchronously and return a list of requests.
2025-09-07T06:38:42.0362140Z 
2025-09-07T06:38:42.0362280Z Process each of the operations in ``p2p_op_list`` and return the corresponding
2025-09-07T06:38:42.0362420Z requests. NCCL, Gloo, and UCC backend are currently supported.
2025-09-07T06:38:42.0362430Z 
2025-09-07T06:38:42.0362470Z Args:
2025-09-07T06:38:42.0362610Z     p2p_op_list: A list of point-to-point operations(type of each operator is
2025-09-07T06:38:42.0362750Z         ``torch.distributed.P2POp``). The order of the isend/irecv in the list
2025-09-07T06:38:42.0362880Z         matters and it needs to match with corresponding isend/irecv on the
2025-09-07T06:38:42.0362930Z         remote end.
2025-09-07T06:38:42.0362930Z 
2025-09-07T06:38:42.0362970Z Returns:
2025-09-07T06:38:42.0363120Z     A list of distributed request objects returned by calling the corresponding
2025-09-07T06:38:42.0363170Z     op in the op_list.
2025-09-07T06:38:42.0363170Z 
2025-09-07T06:38:42.0363230Z Examples:
2025-09-07T06:38:42.0363280Z     >>> # xdoctest: +SKIP("no rank")
2025-09-07T06:38:42.0363400Z     >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank
2025-09-07T06:38:42.0363500Z     >>> recv_tensor = torch.randn(2, dtype=torch.float32)
2025-09-07T06:38:42.0363630Z     >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size)
2025-09-07T06:38:42.0363690Z     >>> recv_op = dist.P2POp(
2025-09-07T06:38:42.0363810Z     ...     dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size
2025-09-07T06:38:42.0363850Z     ... )
2025-09-07T06:38:42.0363940Z     >>> reqs = batch_isend_irecv([send_op, recv_op])
2025-09-07T06:38:42.0363990Z     >>> for req in reqs:
2025-09-07T06:38:42.0364030Z     >>>     req.wait()
2025-09-07T06:38:42.0364080Z     >>> recv_tensor
2025-09-07T06:38:42.0364160Z     tensor([2, 3])     # Rank 0
2025-09-07T06:38:42.0364220Z     tensor([0, 1])     # Rank 1
2025-09-07T06:38:42.0364220Z 
2025-09-07T06:38:42.0364370Z .. note:: Note that when this API is used with the NCCL PG backend, users must set
2025-09-07T06:38:42.0364510Z     the current GPU device with `torch.cuda.set_device`, otherwise it will
2025-09-07T06:38:42.0364570Z     lead to unexpected hang issues.
2025-09-07T06:38:42.0364570Z 
2025-09-07T06:38:42.0364710Z     In addition, if this API is the first collective call in the ``group``
2025-09-07T06:38:42.0364840Z     passed to ``dist.P2POp``, all ranks of the ``group`` must participate in
2025-09-07T06:38:42.0364980Z     this API call; otherwise, the behavior is undefined. If this API call is
2025-09-07T06:38:42.0365120Z     not the first collective call in the ``group``, batched P2P operations
2025-09-07T06:38:42.0365240Z     involving only a subset of ranks of the ``group`` are allowed.
2025-09-07T06:38:42.0365240Z 
2025-09-07T06:38:42.0365420Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.0365430Z 
2025-09-07T06:38:42.0365830Z msg = Cannot scrape callname=all_reduce in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2837.
2025-09-07T06:38:42.0365990Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.0365990Z 
2025-09-07T06:38:42.0366150Z Reduces the tensor data across all machines in a way that all get the final result.
2025-09-07T06:38:42.0366160Z 
2025-09-07T06:38:42.0366290Z After the call ``tensor`` is going to be bitwise identical in all processes.
2025-09-07T06:38:42.0366300Z 
2025-09-07T06:38:42.0366360Z Complex tensors are supported.
2025-09-07T06:38:42.0366360Z 
2025-09-07T06:38:42.0366410Z Args:
2025-09-07T06:38:42.0366530Z     tensor (Tensor): Input and output of the collective. The function
2025-09-07T06:38:42.0366590Z         operates in-place.
2025-09-07T06:38:42.0366660Z     op (optional): One of the values from
2025-09-07T06:38:42.0366790Z         ``torch.distributed.ReduceOp``
2025-09-07T06:38:42.0366910Z         enum.  Specifies an operation used for element-wise reductions.
2025-09-07T06:38:42.0367050Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-09-07T06:38:42.0367130Z         the default process group will be used.
2025-09-07T06:38:42.0367270Z     async_op (bool, optional): Whether this op should be an async op
2025-09-07T06:38:42.0367270Z 
2025-09-07T06:38:42.0367320Z Returns:
2025-09-07T06:38:42.0367410Z     Async work handle, if async_op is set to True.
2025-09-07T06:38:42.0367490Z     None, if not async_op or if not part of the group
2025-09-07T06:38:42.0367490Z 
2025-09-07T06:38:42.0367550Z Examples:
2025-09-07T06:38:42.0367600Z     >>> # xdoctest: +SKIP("no rank")
2025-09-07T06:38:42.0367690Z     >>> # All tensors below are of torch.int64 type.
2025-09-07T06:38:42.0367750Z     >>> # We have 2 process groups, 2 ranks.
2025-09-07T06:38:42.0367820Z     >>> device = torch.device(f"cuda:{rank}")
2025-09-07T06:38:42.0367970Z     >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-09-07T06:38:42.0368010Z     >>> tensor
2025-09-07T06:38:42.0368080Z     tensor([1, 2], device='cuda:0') # Rank 0
2025-09-07T06:38:42.0368150Z     tensor([3, 4], device='cuda:1') # Rank 1
2025-09-07T06:38:42.0368220Z     >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-09-07T06:38:42.0368270Z     >>> tensor
2025-09-07T06:38:42.0368340Z     tensor([4, 6], device='cuda:0') # Rank 0
2025-09-07T06:38:42.0368400Z     tensor([4, 6], device='cuda:1') # Rank 1
2025-09-07T06:38:42.0368400Z 
2025-09-07T06:38:42.0368480Z     >>> # All tensors below are of torch.cfloat type.
2025-09-07T06:38:42.0368550Z     >>> # We have 2 process groups, 2 ranks.
2025-09-07T06:38:42.0368610Z     >>> tensor = torch.tensor(
2025-09-07T06:38:42.0368700Z     ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-09-07T06:38:42.0368790Z     ... ) + 2 * rank * (1 + 1j)
2025-09-07T06:38:42.0368830Z     >>> tensor
2025-09-07T06:38:42.0368920Z     tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-09-07T06:38:42.0369000Z     tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-09-07T06:38:42.0369080Z     >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-09-07T06:38:42.0369120Z     >>> tensor
2025-09-07T06:38:42.0369200Z     tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0
2025-09-07T06:38:42.0369290Z     tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1
2025-09-07T06:38:42.0369290Z 
2025-09-07T06:38:42.0369290Z 
2025-09-07T06:38:42.0369440Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.0466820Z 
2025-09-07T06:38:42.0467420Z msg = Cannot scrape callname=gather_object in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3201.
2025-09-07T06:38:42.0467630Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.0467700Z 
2025-09-07T06:38:42.0467850Z Gathers picklable objects from the whole group in a single process.
2025-09-07T06:38:42.0467850Z 
2025-09-07T06:38:42.0472630Z Similar to :func:`gather`, but Python objects can be passed in. Note that the
2025-09-07T06:38:42.0472740Z object must be picklable in order to be gathered.
2025-09-07T06:38:42.0472740Z 
2025-09-07T06:38:42.0472780Z Args:
2025-09-07T06:38:42.0472860Z     obj (Any): Input object. Must be picklable.
2025-09-07T06:38:42.0473000Z     object_gather_list (list[Any]): Output list. On the ``dst`` rank, it
2025-09-07T06:38:42.0473120Z         should be correctly sized as the size of the group for this
2025-09-07T06:38:42.0473250Z         collective and will contain the output. Must be ``None`` on non-dst
2025-09-07T06:38:42.0473320Z         ranks. (default is ``None``)
2025-09-07T06:38:42.0473510Z     dst (int, optional): Destination rank on global process group (regardless of ``group`` argument).
2025-09-07T06:38:42.0473650Z         (If both ``dst`` and ``group_dst`` are None, default is global rank 0)
2025-09-07T06:38:42.0473840Z     group: (ProcessGroup, optional): The process group to work on. If None,
2025-09-07T06:38:42.0473960Z         the default process group will be used. Default is ``None``.
2025-09-07T06:38:42.0474180Z     group_dst (int, optional): Destination rank on ``group``.  Invalid to specify both ``dst`` and ``group_dst``
2025-09-07T06:38:42.0474180Z 
2025-09-07T06:38:42.0474260Z Returns:
2025-09-07T06:38:42.0474380Z     None. On the ``dst`` rank, ``object_gather_list`` will contain the
2025-09-07T06:38:42.0474450Z     output of the collective.
2025-09-07T06:38:42.0474450Z 
2025-09-07T06:38:42.0474590Z .. note:: Note that this API differs slightly from the gather collective
2025-09-07T06:38:42.0474730Z     since it does not provide an async_op handle and thus will be a blocking
2025-09-07T06:38:42.0474770Z     call.
2025-09-07T06:38:42.0474780Z 
2025-09-07T06:38:42.0474920Z .. note:: For NCCL-based processed groups, internal tensor representations
2025-09-07T06:38:42.0475060Z     of objects must be moved to the GPU device before communication takes
2025-09-07T06:38:42.0475150Z     place. In this case, the device used is given by
2025-09-07T06:38:42.0475290Z     ``torch.cuda.current_device()`` and it is the user's responsibility to
2025-09-07T06:38:42.0475420Z     ensure that this is set so that each rank has an individual GPU, via
2025-09-07T06:38:42.0475490Z     ``torch.cuda.set_device()``.
2025-09-07T06:38:42.0475490Z 
2025-09-07T06:38:42.0475540Z .. warning::
2025-09-07T06:38:42.0475690Z     Object collectives have a number of serious performance and scalability
2025-09-07T06:38:42.0475790Z     limitations.  See :ref:`object_collectives` for details.
2025-09-07T06:38:42.0475790Z 
2025-09-07T06:38:42.0475840Z .. warning::
2025-09-07T06:38:42.0475960Z     :func:`gather_object` uses ``pickle`` module implicitly, which is
2025-09-07T06:38:42.0476170Z     known to be insecure. It is possible to construct malicious pickle data
2025-09-07T06:38:42.0476300Z     which will execute arbitrary code during unpickling. Only call this
2025-09-07T06:38:42.0476370Z     function with data you trust.
2025-09-07T06:38:42.0476370Z 
2025-09-07T06:38:42.0476410Z .. warning::
2025-09-07T06:38:42.0476540Z     Calling :func:`gather_object` with GPU tensors is not well supported
2025-09-07T06:38:42.0476690Z     and inefficient as it incurs GPU -> CPU transfer since tensors would be
2025-09-07T06:38:42.0476800Z     pickled. Please consider using :func:`gather` instead.
2025-09-07T06:38:42.0476800Z 
2025-09-07T06:38:42.0476850Z Example::
2025-09-07T06:38:42.0476940Z     >>> # xdoctest: +SKIP("need process group init")
2025-09-07T06:38:42.0479590Z     >>> # Note: Process group initialization omitted on each rank.
2025-09-07T06:38:42.0479660Z     >>> import torch.distributed as dist
2025-09-07T06:38:42.0479720Z     >>> # Assumes world_size of 3.
2025-09-07T06:38:42.0479830Z     >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object
2025-09-07T06:38:42.0479900Z     >>> output = [None for _ in gather_objects]
2025-09-07T06:38:42.0479960Z     >>> dist.gather_object(
2025-09-07T06:38:42.0480030Z     ...     gather_objects[dist.get_rank()],
2025-09-07T06:38:42.0480110Z     ...     output if dist.get_rank() == 0 else None,
2025-09-07T06:38:42.0480160Z     ...     dst=0
2025-09-07T06:38:42.0480200Z     ... )
2025-09-07T06:38:42.0480240Z     >>> # On rank 0
2025-09-07T06:38:42.0480290Z     >>> output
2025-09-07T06:38:42.0480340Z     ['foo', 12, {1: 2}]
2025-09-07T06:38:42.0480340Z 
2025-09-07T06:38:42.0480490Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.0480490Z 
2025-09-07T06:38:42.0480900Z msg = Cannot scrape callname=all_gather in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3849.
2025-09-07T06:38:42.0481060Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.0481070Z 
2025-09-07T06:38:42.0481160Z Gathers tensors from the whole group in a list.
2025-09-07T06:38:42.0481200Z 
2025-09-07T06:38:42.0481280Z Complex and uneven sized tensors are supported.
2025-09-07T06:38:42.0481280Z 
2025-09-07T06:38:42.0481330Z Args:
2025-09-07T06:38:42.0481430Z     tensor_list (list[Tensor]): Output list. It should contain
2025-09-07T06:38:42.0481570Z         correctly-sized tensors to be used for output of the collective.
2025-09-07T06:38:42.0481650Z         Uneven sized tensors are supported.
2025-09-07T06:38:42.0481770Z     tensor (Tensor): Tensor to be broadcast from current process.
2025-09-07T06:38:42.0481910Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-09-07T06:38:42.0481990Z         the default process group will be used.
2025-09-07T06:38:42.0482100Z     async_op (bool, optional): Whether this op should be an async op
2025-09-07T06:38:42.0482110Z 
2025-09-07T06:38:42.0482150Z Returns:
2025-09-07T06:38:42.0482230Z     Async work handle, if async_op is set to True.
2025-09-07T06:38:42.0482320Z     None, if not async_op or if not part of the group
2025-09-07T06:38:42.0482330Z 
2025-09-07T06:38:42.0482370Z Examples:
2025-09-07T06:38:42.0482450Z     >>> # xdoctest: +SKIP("need process group init")
2025-09-07T06:38:42.0482540Z     >>> # All tensors below are of torch.int64 dtype.
2025-09-07T06:38:42.0482600Z     >>> # We have 2 process groups, 2 ranks.
2025-09-07T06:38:42.0482680Z     >>> device = torch.device(f"cuda:{rank}")
2025-09-07T06:38:42.0482730Z     >>> tensor_list = [
2025-09-07T06:38:42.0482860Z     ...     torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2)
2025-09-07T06:38:42.0482900Z     ... ]
2025-09-07T06:38:42.0482950Z     >>> tensor_list
2025-09-07T06:38:42.0483070Z     [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0
2025-09-07T06:38:42.0483190Z     [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1
2025-09-07T06:38:42.0483380Z     >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-09-07T06:38:42.0483420Z     >>> tensor
2025-09-07T06:38:42.0483490Z     tensor([1, 2], device='cuda:0') # Rank 0
2025-09-07T06:38:42.0483550Z     tensor([3, 4], device='cuda:1') # Rank 1
2025-09-07T06:38:42.0483620Z     >>> dist.all_gather(tensor_list, tensor)
2025-09-07T06:38:42.0483670Z     >>> tensor_list
2025-09-07T06:38:42.0483790Z     [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0
2025-09-07T06:38:42.0483910Z     [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1
2025-09-07T06:38:42.0483910Z 
2025-09-07T06:38:42.0484000Z     >>> # All tensors below are of torch.cfloat dtype.
2025-09-07T06:38:42.0484320Z     >>> # We have 2 process groups, 2 ranks.
2025-09-07T06:38:42.0484370Z     >>> tensor_list = [
2025-09-07T06:38:42.0484500Z     ...     torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2)
2025-09-07T06:38:42.0484540Z     ... ]
2025-09-07T06:38:42.0484580Z     >>> tensor_list
2025-09-07T06:38:42.0484740Z     [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0
2025-09-07T06:38:42.0484890Z     [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1
2025-09-07T06:38:42.0484950Z     >>> tensor = torch.tensor(
2025-09-07T06:38:42.0485040Z     ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-09-07T06:38:42.0485090Z     ... ) + 2 * rank * (1 + 1j)
2025-09-07T06:38:42.0485140Z     >>> tensor
2025-09-07T06:38:42.0485220Z     tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-09-07T06:38:42.0485310Z     tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-09-07T06:38:42.0485370Z     >>> dist.all_gather(tensor_list, tensor)
2025-09-07T06:38:42.0485420Z     >>> tensor_list
2025-09-07T06:38:42.0485560Z     [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0
2025-09-07T06:38:42.0485710Z     [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1
2025-09-07T06:38:42.0485730Z 
2025-09-07T06:38:42.0485730Z 
2025-09-07T06:38:42.0485890Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.0485890Z 
2025-09-07T06:38:42.0486310Z msg = Cannot scrape callname=all_to_all_single in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4555.
2025-09-07T06:38:42.0486490Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.0486500Z 
2025-09-07T06:38:42.0486660Z Split input tensor and then scatter the split list to all processes in a group.
2025-09-07T06:38:42.0486660Z 
2025-09-07T06:38:42.0486810Z Later the received tensors are concatenated from all the processes in the group
2025-09-07T06:38:42.0486880Z and returned as a single output tensor.
2025-09-07T06:38:42.0486880Z 
2025-09-07T06:38:42.0486940Z Complex tensors are supported.
2025-09-07T06:38:42.0486960Z 
2025-09-07T06:38:42.0487010Z Args:
2025-09-07T06:38:42.0487110Z     output (Tensor): Gathered concatenated output tensor.
2025-09-07T06:38:42.0487180Z     input (Tensor): Input tensor to scatter.
2025-09-07T06:38:42.0487310Z     output_split_sizes: (list[Int], optional): Output split sizes for dim 0
2025-09-07T06:38:42.0487440Z         if specified None or empty, dim 0 of ``output`` tensor must divide
2025-09-07T06:38:42.0487500Z         equally by ``world_size``.
2025-09-07T06:38:42.0487630Z     input_split_sizes: (list[Int], optional): Input split sizes for dim 0
2025-09-07T06:38:42.0487750Z         if specified None or empty, dim 0 of ``input`` tensor must divide
2025-09-07T06:38:42.0487810Z         equally by ``world_size``.
2025-09-07T06:38:42.0487950Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-09-07T06:38:42.0488030Z         the default process group will be used.
2025-09-07T06:38:42.0488180Z     async_op (bool, optional): Whether this op should be an async op.
2025-09-07T06:38:42.0488180Z 
2025-09-07T06:38:42.0488230Z Returns:
2025-09-07T06:38:42.0488310Z     Async work handle, if async_op is set to True.
2025-09-07T06:38:42.0488400Z     None, if not async_op or if not part of the group.
2025-09-07T06:38:42.0488400Z 
2025-09-07T06:38:42.0488450Z .. warning::
2025-09-07T06:38:42.0488550Z     `all_to_all_single` is experimental and subject to change.
2025-09-07T06:38:42.0488550Z 
2025-09-07T06:38:42.0488600Z Examples:
2025-09-07T06:38:42.0488670Z     >>> # xdoctest: +SKIP("Undefined rank")
2025-09-07T06:38:42.0488730Z     >>> input = torch.arange(4) + rank * 4
2025-09-07T06:38:42.0488770Z     >>> input
2025-09-07T06:38:42.0488830Z     tensor([0, 1, 2, 3])     # Rank 0
2025-09-07T06:38:42.0488950Z     tensor([4, 5, 6, 7])     # Rank 1
2025-09-07T06:38:42.0489010Z     tensor([8, 9, 10, 11])   # Rank 2
2025-09-07T06:38:42.0489060Z     tensor([12, 13, 14, 15]) # Rank 3
2025-09-07T06:38:42.0489160Z     >>> output = torch.empty([4], dtype=torch.int64)
2025-09-07T06:38:42.0489220Z     >>> dist.all_to_all_single(output, input)
2025-09-07T06:38:42.0489270Z     >>> output
2025-09-07T06:38:42.0489320Z     tensor([0, 4, 8, 12])    # Rank 0
2025-09-07T06:38:42.0489370Z     tensor([1, 5, 9, 13])    # Rank 1
2025-09-07T06:38:42.0489430Z     tensor([2, 6, 10, 14])   # Rank 2
2025-09-07T06:38:42.0489480Z     tensor([3, 7, 11, 15])   # Rank 3
2025-09-07T06:38:42.0489480Z 
2025-09-07T06:38:42.0489580Z     >>> # Essentially, it is similar to following operation:
2025-09-07T06:38:42.0489660Z     >>> scatter_list = list(input.chunk(world_size))
2025-09-07T06:38:42.0489750Z     >>> gather_list = list(output.chunk(world_size))
2025-09-07T06:38:42.0489810Z     >>> for i in range(world_size):
2025-09-07T06:38:42.0489950Z     >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i)
2025-09-07T06:38:42.0489950Z 
2025-09-07T06:38:42.0490010Z     >>> # Another example with uneven split
2025-09-07T06:38:42.0490060Z     >>> input
2025-09-07T06:38:42.0490170Z     tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-09-07T06:38:42.0490310Z     tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-09-07T06:38:42.0490410Z     tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-09-07T06:38:42.0490510Z     tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-09-07T06:38:42.0490560Z     >>> input_splits
2025-09-07T06:38:42.0490660Z     [2, 2, 1, 1]                                                     # Rank 0
2025-09-07T06:38:42.0490740Z     [3, 2, 2, 2]                                                     # Rank 1
2025-09-07T06:38:42.0490830Z     [2, 1, 1, 1]                                                     # Rank 2
2025-09-07T06:38:42.0490900Z     [2, 2, 2, 1]                                                     # Rank 3
2025-09-07T06:38:42.0490950Z     >>> output_splits
2025-09-07T06:38:42.0491030Z     [2, 3, 2, 2]                                                     # Rank 0
2025-09-07T06:38:42.0491110Z     [2, 2, 1, 2]                                                     # Rank 1
2025-09-07T06:38:42.0491180Z     [1, 2, 1, 2]                                                     # Rank 2
2025-09-07T06:38:42.0491260Z     [1, 2, 1, 1]                                                     # Rank 3
2025-09-07T06:38:42.0491310Z     >>> output = ...
2025-09-07T06:38:42.0491430Z     >>> dist.all_to_all_single(output, input, output_splits, input_splits)
2025-09-07T06:38:42.0491470Z     >>> output
2025-09-07T06:38:42.0491570Z     tensor([ 0,  1, 10, 11, 12, 20, 21, 30, 31])                     # Rank 0
2025-09-07T06:38:42.0491670Z     tensor([ 2,  3, 13, 14, 22, 32, 33])                             # Rank 1
2025-09-07T06:38:42.0491760Z     tensor([ 4, 15, 16, 23, 34, 35])                                 # Rank 2
2025-09-07T06:38:42.0491860Z     tensor([ 5, 17, 18, 24, 36])                                     # Rank 3
2025-09-07T06:38:42.0491860Z 
2025-09-07T06:38:42.0491860Z 
2025-09-07T06:38:42.0491990Z     >>> # Another example with tensors of torch.cfloat type.
2025-09-07T06:38:42.0492050Z     >>> input = torch.tensor(
2025-09-07T06:38:42.0492140Z     ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-09-07T06:38:42.0492190Z     ... ) + 4 * rank * (1 + 1j)
2025-09-07T06:38:42.0492230Z     >>> input
2025-09-07T06:38:42.0492350Z     tensor([1+1j, 2+2j, 3+3j, 4+4j])                                # Rank 0
2025-09-07T06:38:42.0492450Z     tensor([5+5j, 6+6j, 7+7j, 8+8j])                                # Rank 1
2025-09-07T06:38:42.0492560Z     tensor([9+9j, 10+10j, 11+11j, 12+12j])                          # Rank 2
2025-09-07T06:38:42.0492670Z     tensor([13+13j, 14+14j, 15+15j, 16+16j])                        # Rank 3
2025-09-07T06:38:42.0492820Z     >>> output = torch.empty([4], dtype=torch.int64)
2025-09-07T06:38:42.0492890Z     >>> dist.all_to_all_single(output, input)
2025-09-07T06:38:42.0492930Z     >>> output
2025-09-07T06:38:42.0493040Z     tensor([1+1j, 5+5j, 9+9j, 13+13j])                              # Rank 0
2025-09-07T06:38:42.0493140Z     tensor([2+2j, 6+6j, 10+10j, 14+14j])                            # Rank 1
2025-09-07T06:38:42.0493250Z     tensor([3+3j, 7+7j, 11+11j, 15+15j])                            # Rank 2
2025-09-07T06:38:42.0493350Z     tensor([4+4j, 8+8j, 12+12j, 16+16j])                            # Rank 3
2025-09-07T06:38:42.0493360Z 
2025-09-07T06:38:42.0493510Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.0722610Z 
2025-09-07T06:38:42.0723300Z msg = Cannot scrape callname=all_to_all in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4697.
2025-09-07T06:38:42.0724080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.0724110Z 
2025-09-07T06:38:42.0724360Z Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list.
2025-09-07T06:38:42.0724360Z 
2025-09-07T06:38:42.0724430Z Complex tensors are supported.
2025-09-07T06:38:42.0724600Z 
2025-09-07T06:38:42.0724660Z Args:
2025-09-07T06:38:42.0724800Z     output_tensor_list (list[Tensor]): List of tensors to be gathered one
2025-09-07T06:38:42.0724860Z         per rank.
2025-09-07T06:38:42.0725010Z     input_tensor_list (list[Tensor]): List of tensors to scatter one per rank.
2025-09-07T06:38:42.0725220Z     group (ProcessGroup, optional): The process group to work on. If None,
2025-09-07T06:38:42.0725300Z         the default process group will be used.
2025-09-07T06:38:42.0725430Z     async_op (bool, optional): Whether this op should be an async op.
2025-09-07T06:38:42.0725430Z 
2025-09-07T06:38:42.0725480Z Returns:
2025-09-07T06:38:42.0725570Z     Async work handle, if async_op is set to True.
2025-09-07T06:38:42.0725670Z     None, if not async_op or if not part of the group.
2025-09-07T06:38:42.0725670Z 
2025-09-07T06:38:42.0725730Z .. warning::
2025-09-07T06:38:42.0725830Z     `all_to_all` is experimental and subject to change.
2025-09-07T06:38:42.0725840Z 
2025-09-07T06:38:42.0725890Z Examples:
2025-09-07T06:38:42.0725960Z     >>> # xdoctest: +SKIP("Undefined rank")
2025-09-07T06:38:42.0726030Z     >>> input = torch.arange(4) + rank * 4
2025-09-07T06:38:42.0726100Z     >>> input = list(input.chunk(4))
2025-09-07T06:38:42.0726150Z     >>> input
2025-09-07T06:38:42.0726260Z     [tensor([0]), tensor([1]), tensor([2]), tensor([3])]     # Rank 0
2025-09-07T06:38:42.0726370Z     [tensor([4]), tensor([5]), tensor([6]), tensor([7])]     # Rank 1
2025-09-07T06:38:42.0726480Z     [tensor([8]), tensor([9]), tensor([10]), tensor([11])]   # Rank 2
2025-09-07T06:38:42.0726590Z     [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3
2025-09-07T06:38:42.0726710Z     >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-09-07T06:38:42.0726780Z     >>> dist.all_to_all(output, input)
2025-09-07T06:38:42.0726830Z     >>> output
2025-09-07T06:38:42.0727020Z     [tensor([0]), tensor([4]), tensor([8]), tensor([12])]    # Rank 0
2025-09-07T06:38:42.0727170Z     [tensor([1]), tensor([5]), tensor([9]), tensor([13])]    # Rank 1
2025-09-07T06:38:42.0727280Z     [tensor([2]), tensor([6]), tensor([10]), tensor([14])]   # Rank 2
2025-09-07T06:38:42.0727390Z     [tensor([3]), tensor([7]), tensor([11]), tensor([15])]   # Rank 3
2025-09-07T06:38:42.0727390Z 
2025-09-07T06:38:42.0727500Z     >>> # Essentially, it is similar to following operation:
2025-09-07T06:38:42.0727560Z     >>> scatter_list = input
2025-09-07T06:38:42.0727610Z     >>> gather_list = output
2025-09-07T06:38:42.0727680Z     >>> for i in range(world_size):
2025-09-07T06:38:42.0727830Z     >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i)
2025-09-07T06:38:42.0727950Z 
2025-09-07T06:38:42.0728000Z     >>> input
2025-09-07T06:38:42.0728110Z     tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-09-07T06:38:42.0728220Z     tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-09-07T06:38:42.0728310Z     tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-09-07T06:38:42.0728420Z     tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-09-07T06:38:42.0728470Z     >>> input_splits
2025-09-07T06:38:42.0728550Z     [2, 2, 1, 1]                                                     # Rank 0
2025-09-07T06:38:42.0728630Z     [3, 2, 2, 2]                                                     # Rank 1
2025-09-07T06:38:42.0728710Z     [2, 1, 1, 1]                                                     # Rank 2
2025-09-07T06:38:42.0728790Z     [2, 2, 2, 1]                                                     # Rank 3
2025-09-07T06:38:42.0728840Z     >>> output_splits
2025-09-07T06:38:42.0728920Z     [2, 3, 2, 2]                                                     # Rank 0
2025-09-07T06:38:42.0728990Z     [2, 2, 1, 2]                                                     # Rank 1
2025-09-07T06:38:42.0729070Z     [1, 2, 1, 2]                                                     # Rank 2
2025-09-07T06:38:42.0729190Z     [1, 2, 1, 1]                                                     # Rank 3
2025-09-07T06:38:42.0729260Z     >>> input = list(input.split(input_splits))
2025-09-07T06:38:42.0729310Z     >>> input
2025-09-07T06:38:42.0729440Z     [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])]                   # Rank 0
2025-09-07T06:38:42.0729590Z     [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1
2025-09-07T06:38:42.0729720Z     [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])]                 # Rank 2
2025-09-07T06:38:42.0729850Z     [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])]         # Rank 3
2025-09-07T06:38:42.0729890Z     >>> output = ...
2025-09-07T06:38:42.0729960Z     >>> dist.all_to_all(output, input)
2025-09-07T06:38:42.0730010Z     >>> output
2025-09-07T06:38:42.0730130Z     [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])]   # Rank 0
2025-09-07T06:38:42.0730260Z     [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])]           # Rank 1
2025-09-07T06:38:42.0730390Z     [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])]              # Rank 2
2025-09-07T06:38:42.0730510Z     [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])]                  # Rank 3
2025-09-07T06:38:42.0730510Z 
2025-09-07T06:38:42.0730620Z     >>> # Another example with tensors of torch.cfloat type.
2025-09-07T06:38:42.0730680Z     >>> input = torch.tensor(
2025-09-07T06:38:42.0730770Z     ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-09-07T06:38:42.0730830Z     ... ) + 4 * rank * (1 + 1j)
2025-09-07T06:38:42.0730900Z     >>> input = list(input.chunk(4))
2025-09-07T06:38:42.0730940Z     >>> input
2025-09-07T06:38:42.0731080Z     [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])]            # Rank 0
2025-09-07T06:38:42.0731270Z     [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])]            # Rank 1
2025-09-07T06:38:42.0731420Z     [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])]      # Rank 2
2025-09-07T06:38:42.0731550Z     [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])]    # Rank 3
2025-09-07T06:38:42.0731670Z     >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-09-07T06:38:42.0731740Z     >>> dist.all_to_all(output, input)
2025-09-07T06:38:42.0731790Z     >>> output
2025-09-07T06:38:42.0731920Z     [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])]          # Rank 0
2025-09-07T06:38:42.0732050Z     [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])]        # Rank 1
2025-09-07T06:38:42.0732260Z     [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])]        # Rank 2
2025-09-07T06:38:42.0732390Z     [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])]        # Rank 3
2025-09-07T06:38:42.0732400Z 
2025-09-07T06:38:42.0732400Z 
2025-09-07T06:38:42.0732560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.0732560Z 
2025-09-07T06:38:42.0732950Z msg = Cannot scrape callname=__doc__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/launch.py line=2.
2025-09-07T06:38:42.0733100Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.0733110Z 
2025-09-07T06:38:42.0733170Z Module ``torch.distributed.launch``.
2025-09-07T06:38:42.0733180Z 
2025-09-07T06:38:42.0733330Z ``torch.distributed.launch`` is a module that spawns up multiple distributed
2025-09-07T06:38:42.0733420Z training processes on each of the training nodes.
2025-09-07T06:38:42.0733420Z 
2025-09-07T06:38:42.0733470Z .. warning::
2025-09-07T06:38:42.0733470Z 
2025-09-07T06:38:42.0733630Z     This module is going to be deprecated in favor of :ref:`torchrun <launcher-api>`.
2025-09-07T06:38:42.0733630Z 
2025-09-07T06:38:42.0733780Z The utility can be used for single-node distributed training, in which one or
2025-09-07T06:38:42.0733940Z more processes per node will be spawned. The utility can be used for either
2025-09-07T06:38:42.0734080Z CPU training or GPU training. If the utility is used for GPU training,
2025-09-07T06:38:42.0734220Z each distributed process will be operating on a single GPU. This can achieve
2025-09-07T06:38:42.0734400Z well-improved single-node training performance. It can also be used in
2025-09-07T06:38:42.0734570Z multi-node distributed training, by spawning up multiple processes on each node
2025-09-07T06:38:42.0734710Z for well-improved multi-node distributed training performance as well.
2025-09-07T06:38:42.0734850Z This will especially be beneficial for systems with multiple Infiniband
2025-09-07T06:38:42.0735000Z interfaces that have direct-GPU support, since all of them can be utilized for
2025-09-07T06:38:42.0735070Z aggregated communication bandwidth.
2025-09-07T06:38:42.0735080Z 
2025-09-07T06:38:42.0735220Z In both cases of single-node distributed training or multi-node distributed
2025-09-07T06:38:42.0735360Z training, this utility will launch the given number of processes per node
2025-09-07T06:38:42.0735500Z (``--nproc-per-node``). If used for GPU training, this number needs to be less
2025-09-07T06:38:42.0735640Z or equal to the number of GPUs on the current system (``nproc_per_node``),
2025-09-07T06:38:42.0735760Z and each process will be operating on a single GPU from *GPU 0 to
2025-09-07T06:38:42.0735830Z GPU (nproc_per_node - 1)*.
2025-09-07T06:38:42.0735830Z 
2025-09-07T06:38:42.0735890Z **How to use this module:**
2025-09-07T06:38:42.0735890Z 
2025-09-07T06:38:42.0735980Z 1. Single-Node multi-process distributed training
2025-09-07T06:38:42.0735980Z 
2025-09-07T06:38:42.0736030Z ::
2025-09-07T06:38:42.0736030Z 
2025-09-07T06:38:42.0736180Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-09-07T06:38:42.0736330Z                YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other
2025-09-07T06:38:42.0736410Z                arguments of your training script)
2025-09-07T06:38:42.0736420Z 
2025-09-07T06:38:42.0736540Z 2. Multi-Node multi-process distributed training: (e.g. two nodes)
2025-09-07T06:38:42.0736550Z 
2025-09-07T06:38:42.0736550Z 
2025-09-07T06:38:42.0736640Z Node 1: *(IP: 192.168.1.1, and has a free port: 1234)*
2025-09-07T06:38:42.0736640Z 
2025-09-07T06:38:42.0736680Z ::
2025-09-07T06:38:42.0736680Z 
2025-09-07T06:38:42.0736830Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-09-07T06:38:42.0736930Z                --nnodes=2 --node-rank=0 --master-addr="192.168.1.1"
2025-09-07T06:38:42.0737070Z                --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-09-07T06:38:42.0737220Z                and all other arguments of your training script)
2025-09-07T06:38:42.0737220Z 
2025-09-07T06:38:42.0737270Z Node 2:
2025-09-07T06:38:42.0737270Z 
2025-09-07T06:38:42.0737310Z ::
2025-09-07T06:38:42.0737320Z 
2025-09-07T06:38:42.0737460Z     python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-09-07T06:38:42.0737560Z                --nnodes=2 --node-rank=1 --master-addr="192.168.1.1"
2025-09-07T06:38:42.0737690Z                --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-09-07T06:38:42.0737780Z                and all other arguments of your training script)
2025-09-07T06:38:42.0737780Z 
2025-09-07T06:38:42.0737880Z 3. To look up what optional arguments this module offers:
2025-09-07T06:38:42.0737890Z 
2025-09-07T06:38:42.0737930Z ::
2025-09-07T06:38:42.0737930Z 
2025-09-07T06:38:42.0738010Z     python -m torch.distributed.launch --help
2025-09-07T06:38:42.0738010Z 
2025-09-07T06:38:42.0738020Z 
2025-09-07T06:38:42.0738070Z **Important Notices:**
2025-09-07T06:38:42.0738070Z 
2025-09-07T06:38:42.0738190Z 1. This utility and multi-process distributed (single-node or
2025-09-07T06:38:42.0738340Z multi-node) GPU training currently only achieves the best performance using
2025-09-07T06:38:42.0738490Z the NCCL distributed backend. Thus NCCL backend is the recommended backend to
2025-09-07T06:38:42.0738570Z use for GPU training.
2025-09-07T06:38:42.0738580Z 
2025-09-07T06:38:42.0738710Z 2. In your training program, you must parse the command-line argument:
2025-09-07T06:38:42.0738850Z ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module.
2025-09-07T06:38:42.0739020Z If your training program uses GPUs, you should ensure that your code only
2025-09-07T06:38:42.0739140Z runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by:
2025-09-07T06:38:42.0739140Z 
2025-09-07T06:38:42.0739200Z Parsing the local_rank argument
2025-09-07T06:38:42.0739200Z 
2025-09-07T06:38:42.0739240Z ::
2025-09-07T06:38:42.0739250Z 
2025-09-07T06:38:42.0739300Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:42.0739350Z     >>> import argparse
2025-09-07T06:38:42.0739430Z     >>> parser = argparse.ArgumentParser()
2025-09-07T06:38:42.0739550Z     >>> parser.add_argument("--local-rank", "--local_rank", type=int)
2025-09-07T06:38:42.0739610Z     >>> args = parser.parse_args()
2025-09-07T06:38:42.0739620Z 
2025-09-07T06:38:42.0739690Z Set your device to local rank using either
2025-09-07T06:38:42.0739690Z 
2025-09-07T06:38:42.0739730Z ::
2025-09-07T06:38:42.0739730Z 
2025-09-07T06:38:42.0739860Z     >>> torch.cuda.set_device(args.local_rank)  # before your code runs
2025-09-07T06:38:42.0739860Z 
2025-09-07T06:38:42.0739900Z or
2025-09-07T06:38:42.0739900Z 
2025-09-07T06:38:42.0739950Z ::
2025-09-07T06:38:42.0739950Z 
2025-09-07T06:38:42.0740030Z     >>> with torch.cuda.device(args.local_rank):
2025-09-07T06:38:42.0740090Z     >>>    # your code to run
2025-09-07T06:38:42.0740130Z     >>>    ...
2025-09-07T06:38:42.0740130Z 
2025-09-07T06:38:42.0740190Z .. versionchanged:: 2.0.0
2025-09-07T06:38:42.0740190Z 
2025-09-07T06:38:42.0740340Z     The launcher will passes the ``--local-rank=<rank>`` argument to your script.
2025-09-07T06:38:42.0740520Z     From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the
2025-09-07T06:38:42.0740600Z     previously used underscored ``--local_rank``.
2025-09-07T06:38:42.0740610Z 
2025-09-07T06:38:42.0740750Z     For backward compatibility, it may be necessary for users to handle both
2025-09-07T06:38:42.0740910Z     cases in their argument parsing code. This means including both ``"--local-rank"``
2025-09-07T06:38:42.0741050Z     and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is
2025-09-07T06:38:42.0741200Z     provided, the launcher will trigger an error: "error: unrecognized arguments:
2025-09-07T06:38:42.0741350Z     --local-rank=<rank>". For training code that only supports PyTorch 2.0.0+,
2025-09-07T06:38:42.0741440Z     including ``"--local-rank"`` should be sufficient.
2025-09-07T06:38:42.0741490Z 
2025-09-07T06:38:42.0741640Z 3. In your training program, you are supposed to call the following function
2025-09-07T06:38:42.0741790Z at the beginning to start the distributed backend. It is strongly recommended
2025-09-07T06:38:42.0741940Z that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work,
2025-09-07T06:38:42.0742070Z but ``env://`` is the one that is officially supported by this module.
2025-09-07T06:38:42.0742070Z 
2025-09-07T06:38:42.0742110Z ::
2025-09-07T06:38:42.0742120Z 
2025-09-07T06:38:42.0742240Z     >>> torch.distributed.init_process_group(backend='YOUR BACKEND',
2025-09-07T06:38:42.0742330Z     >>>                                      init_method='env://')
2025-09-07T06:38:42.0742340Z 
2025-09-07T06:38:42.0742480Z 4. In your training program, you can either use regular distributed functions
2025-09-07T06:38:42.0742630Z or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your
2025-09-07T06:38:42.0742760Z training program uses GPUs for training and you would like to use
2025-09-07T06:38:42.0742880Z :func:`torch.nn.parallel.DistributedDataParallel` module,
2025-09-07T06:38:42.0742930Z here is how to configure it.
2025-09-07T06:38:42.0742930Z 
2025-09-07T06:38:42.0742980Z ::
2025-09-07T06:38:42.0742980Z 
2025-09-07T06:38:42.0743100Z     >>> model = torch.nn.parallel.DistributedDataParallel(model,
2025-09-07T06:38:42.0743220Z     >>>                                                   device_ids=[args.local_rank],
2025-09-07T06:38:42.0743310Z     >>>                                                   output_device=args.local_rank)
2025-09-07T06:38:42.0743310Z 
2025-09-07T06:38:42.0743480Z Please ensure that ``device_ids`` argument is set to be the only GPU device id
2025-09-07T06:38:42.0743620Z that your code will be operating on. This is generally the local rank of the
2025-09-07T06:38:42.0743770Z process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``,
2025-09-07T06:38:42.0743900Z and ``output_device`` needs to be ``args.local_rank`` in order to use this
2025-09-07T06:38:42.0743950Z utility
2025-09-07T06:38:42.0743950Z 
2025-09-07T06:38:42.0744110Z 5. Another way to pass ``local_rank`` to the subprocesses via environment variable
2025-09-07T06:38:42.0744240Z ``LOCAL_RANK``. This behavior is enabled when you launch the script with
2025-09-07T06:38:42.0744380Z ``--use-env=True``. You must adjust the subprocess example above to replace
2025-09-07T06:38:42.0744510Z ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher
2025-09-07T06:38:42.0744610Z will not pass ``--local-rank`` when you specify this flag.
2025-09-07T06:38:42.0744620Z 
2025-09-07T06:38:42.0744660Z .. warning::
2025-09-07T06:38:42.0744660Z 
2025-09-07T06:38:42.0744790Z     ``local_rank`` is NOT globally unique: it is only unique per process
2025-09-07T06:38:42.0744920Z     on a machine.  Thus, don't use it to decide if you should, e.g.,
2025-09-07T06:38:42.0744990Z     write to a networked filesystem.  See
2025-09-07T06:38:42.0745120Z     https://github.com/pytorch/pytorch/issues/12042 for an example of
2025-09-07T06:38:42.0745220Z     how things can go wrong if you don't do this correctly.
2025-09-07T06:38:42.0745220Z 
2025-09-07T06:38:42.0745230Z 
2025-09-07T06:38:42.0745260Z 
2025-09-07T06:38:42.0745260Z 
2025-09-07T06:38:42.0745410Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.0922380Z 
2025-09-07T06:38:42.0922980Z msg = Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/device_mesh.py line=701.
2025-09-07T06:38:42.0923150Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:42.0923150Z 
2025-09-07T06:38:42.0923320Z Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-09-07T06:38:42.0923490Z The submesh created consists of the dimensions and the communicators indicated by
2025-09-07T06:38:42.0923710Z ``mesh_dim_names``
2025-09-07T06:38:42.0923710Z 
2025-09-07T06:38:42.0923760Z Args:
2025-09-07T06:38:42.0923910Z     mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-09-07T06:38:42.0924060Z     mesh dimension of the DeviceMesh to create the submesh for.
2025-09-07T06:38:42.0924110Z Returns:
2025-09-07T06:38:42.0924170Z     A :class:`DeviceMesh` object
2025-09-07T06:38:42.0924180Z 
2025-09-07T06:38:42.0924350Z The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-09-07T06:38:42.0924400Z In the first example:
2025-09-07T06:38:42.0924570Z     Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-09-07T06:38:42.0924720Z     Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-09-07T06:38:42.0924870Z     Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-09-07T06:38:42.0925010Z     Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-09-07T06:38:42.0925150Z     Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-09-07T06:38:42.0925290Z     Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-09-07T06:38:42.0925290Z 
2025-09-07T06:38:42.0925390Z In the second example:
2025-09-07T06:38:42.0925570Z     Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-09-07T06:38:42.0925730Z     Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-09-07T06:38:42.0925920Z     Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-09-07T06:38:42.0926080Z     Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-09-07T06:38:42.0926080Z 
2025-09-07T06:38:42.0926130Z Example::
2025-09-07T06:38:42.0926130Z 
2025-09-07T06:38:42.0926200Z     >>> # xdoctest: +SKIP("no rank")
2025-09-07T06:38:42.0926310Z     >>> from torch.distributed.device_mesh import DeviceMesh
2025-09-07T06:38:42.0926350Z     >>>
2025-09-07T06:38:42.0926480Z     >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-09-07T06:38:42.0926570Z     >>> # of cross-host(dim 0), and within-host (dim 1).
2025-09-07T06:38:42.0926740Z     >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-09-07T06:38:42.0926790Z     >>> tp_mesh = mesh_2d["tp"]
2025-09-07T06:38:42.0926850Z     >>> dp_mesh = mesh_2d["dp"]
2025-09-07T06:38:42.0926890Z     >>>
2025-09-07T06:38:42.0926950Z     >>> # Initialize a 3D mesh.
2025-09-07T06:38:42.0927120Z     >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-09-07T06:38:42.0927300Z     >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-09-07T06:38:42.0927370Z     >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-09-07T06:38:42.0927430Z     >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-09-07T06:38:42.0927440Z 
2025-09-07T06:38:42.0927900Z Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-09-07T06:38:42.0927910Z 
2025-09-07T06:38:42.0928070Z mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-09-07T06:38:42.0928150Z                                                                                  ^
2025-09-07T06:38:42.0928630Z msg = Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=40.
2025-09-07T06:38:42.0928790Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.0928790Z 
2025-09-07T06:38:42.0928970Z StorageReader for reading a Torch Save file. This reader will read the entire checkpoint
2025-09-07T06:38:42.0929190Z on the coordinator rank, and then broadcast and shard each tensor to all ranks.
2025-09-07T06:38:42.0929190Z 
2025-09-07T06:38:42.0929290Z . N.B. Intended to be used with DynamicMetaLoadPlanner
2025-09-07T06:38:42.0929300Z 
2025-09-07T06:38:42.0929340Z .. warning::
2025-09-07T06:38:42.0929450Z     Current implementation only supports loading Tensors.
2025-09-07T06:38:42.0929450Z 
2025-09-07T06:38:42.0929510Z >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:42.0929570Z >>> sd = {"mode": model}
2025-09-07T06:38:42.0929620Z >>> dcp.load(
2025-09-07T06:38:42.0929660Z >>>    sd,
2025-09-07T06:38:42.0929750Z >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-09-07T06:38:42.0929820Z >>>    planner=DynamicMetaLoadPlanner(),
2025-09-07T06:38:42.0929890Z >>>    checkpoint_id="path_to_model.pt"
2025-09-07T06:38:42.0929930Z >>> )
2025-09-07T06:38:42.0929930Z 
2025-09-07T06:38:42.0930080Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.0930080Z 
2025-09-07T06:38:42.0930550Z msg = Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=151.
2025-09-07T06:38:42.0930710Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.0930730Z 
2025-09-07T06:38:42.0930950Z Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict,
2025-09-07T06:38:42.0931140Z avoiding the need to read metadata from disk. This is useful when reading formats which don't have a
2025-09-07T06:38:42.0931300Z metadata file, like Torch Save files.
2025-09-07T06:38:42.0931300Z 
2025-09-07T06:38:42.0931420Z . N.B. Intended to be used with BroadcastingTorchSaveReader
2025-09-07T06:38:42.0931420Z 
2025-09-07T06:38:42.0931470Z .. warning::
2025-09-07T06:38:42.0931570Z     Current implementation only supports loading Tensors.
2025-09-07T06:38:42.0931580Z 
2025-09-07T06:38:42.0931640Z >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:42.0931690Z >>> sd = {"mode": model}
2025-09-07T06:38:42.0931740Z >>> dcp.load(
2025-09-07T06:38:42.0931780Z >>>    sd,
2025-09-07T06:38:42.0931870Z >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-09-07T06:38:42.0931940Z >>>    planner=DynamicMetaLoadPlanner(),
2025-09-07T06:38:42.0932000Z >>>    checkpoint_id="path_to_model.pt"
2025-09-07T06:38:42.0932050Z >>> )
2025-09-07T06:38:42.0932050Z 
2025-09-07T06:38:42.0932200Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.0932200Z 
2025-09-07T06:38:42.0932620Z msg = Cannot scrape callname=SavePlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-09-07T06:38:42.0932780Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.0932790Z 
2025-09-07T06:38:42.0932960Z Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-09-07T06:38:42.0932960Z 
2025-09-07T06:38:42.0933170Z SavePlanners are stateful objects that can be used to customize the whole save process.
2025-09-07T06:38:42.0933170Z 
2025-09-07T06:38:42.0933340Z SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-09-07T06:38:42.0933410Z will be visible to the whole process.
2025-09-07T06:38:42.0933410Z 
2025-09-07T06:38:42.0933570Z A planner subclass can expect the following sequence of calls during save_state_dict:
2025-09-07T06:38:42.0933570Z 
2025-09-07T06:38:42.0933650Z 1) set_up_planner - called on all ranks.
2025-09-07T06:38:42.0933720Z     Signals the start of a checkpoint save.
2025-09-07T06:38:42.0933720Z 
2025-09-07T06:38:42.0933790Z 2) create_local_plan - called on all ranks.
2025-09-07T06:38:42.0933960Z     Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-09-07T06:38:42.0934020Z 
2025-09-07T06:38:42.0934140Z 3) create_global_plan - called on the coordinator rank only.
2025-09-07T06:38:42.0934260Z     Takes the SavePlan from all ranks and make any global decision.
2025-09-07T06:38:42.0934260Z 
2025-09-07T06:38:42.0934330Z 4) finish_plan - called on all ranks.
2025-09-07T06:38:42.0934460Z     This gives each rank a chance to adjust to global planning decisions.
2025-09-07T06:38:42.0934460Z 
2025-09-07T06:38:42.0934560Z 5) resolve_data - called multiple times on each rank
2025-09-07T06:38:42.0934690Z     Lookups a value on the `state_dict` for the storage layer to write.
2025-09-07T06:38:42.0934690Z 
2025-09-07T06:38:42.0934880Z Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-09-07T06:38:42.0934990Z most changes can be expressed by changes in a single method.
2025-09-07T06:38:42.0934990Z 
2025-09-07T06:38:42.0935060Z There are 3 usual patterns of extension:
2025-09-07T06:38:42.0935060Z 
2025-09-07T06:38:42.0935210Z Rewriting state_dict. This is the simplest way to extend the save process as it
2025-09-07T06:38:42.0935350Z doesn't requite understanding the intrincacies of how SavePlan works:
2025-09-07T06:38:42.0935360Z 
2025-09-07T06:38:42.0935420Z >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:42.0935500Z >>> class RenamePlanner(DefaultSavePlanner):
2025-09-07T06:38:42.0935590Z >>>     def set_up_planner(
2025-09-07T06:38:42.0935630Z >>>         self,
2025-09-07T06:38:42.0935690Z >>>         state_dict: STATE_DICT_TYPE,
2025-09-07T06:38:42.0935770Z >>>         storage_meta: Optional[StorageMeta],
2025-09-07T06:38:42.0935830Z >>>         is_coordinator: bool,
2025-09-07T06:38:42.0935870Z >>>     ) -> None:
2025-09-07T06:38:42.0935960Z >>> # prefix all keys with `foo_``
2025-09-07T06:38:42.0936140Z >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-09-07T06:38:42.0936140Z 
2025-09-07T06:38:42.0936350Z Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-09-07T06:38:42.0936350Z 
2025-09-07T06:38:42.0936410Z >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:42.0936490Z >>> class FP16Planner(DefaultSavePlanner):
2025-09-07T06:38:42.0936550Z >>>     def create_local_plan(self):
2025-09-07T06:38:42.0936620Z >>>         plan = super().create_local_plan()
2025-09-07T06:38:42.0936670Z >>>         for p in plan:
2025-09-07T06:38:42.0936750Z >>>             if p.tensor_data is not None:
2025-09-07T06:38:42.0936850Z >>>                 p.tensor_data.properties.dtype = torch.float16
2025-09-07T06:38:42.0936900Z >>>         return plan
2025-09-07T06:38:42.0936940Z >>>
2025-09-07T06:38:42.0937000Z >>>     def resolve_data(self, write_item):
2025-09-07T06:38:42.0937080Z >>>         item = super().resolve_data(write_item)
2025-09-07T06:38:42.0937250Z >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-09-07T06:38:42.0937260Z 
2025-09-07T06:38:42.0937460Z Using the global planning step to make central decisions that can't be made individually by each rank
2025-09-07T06:38:42.0937460Z 
2025-09-07T06:38:42.0937530Z >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:42.0943360Z >>> from itertools import zip_longest
2025-09-07T06:38:42.0943450Z >>> from dataclasses import replace
2025-09-07T06:38:42.0943560Z >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-09-07T06:38:42.0943740Z >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-09-07T06:38:42.0943830Z >>> # This sample doesn't handle ShardedTensors
2025-09-07T06:38:42.0943920Z >>>     def create_global_plan(self, all_plans):
2025-09-07T06:38:42.0944020Z >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-09-07T06:38:42.0944080Z >>>         items_per_rank = [
2025-09-07T06:38:42.0944170Z >>>             [item for item in items if item is not None]
2025-09-07T06:38:42.0944280Z >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-09-07T06:38:42.0944390Z >>>         ]
2025-09-07T06:38:42.0944450Z >>>         all_plans = [
2025-09-07T06:38:42.0944520Z >>>             replace(plan, items=items)
2025-09-07T06:38:42.0944650Z >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-09-07T06:38:42.0944690Z >>>         ]
2025-09-07T06:38:42.0944790Z >>>         return super().create_global_plan(all_plans)
2025-09-07T06:38:42.0944790Z 
2025-09-07T06:38:42.0944960Z Finally, some planners need to save additional metadata in the checkpoint, this is
2025-09-07T06:38:42.0945130Z accomplished by having each rank contribute their data items in the local plan and
2025-09-07T06:38:42.0945200Z the global planner aggregate them:
2025-09-07T06:38:42.0945200Z 
2025-09-07T06:38:42.0945270Z >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:42.0945370Z >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-09-07T06:38:42.0945460Z >>>     def create_local_plan(self) -> SavePlan:
2025-09-07T06:38:42.0945530Z >>>         plan = super().create_local_plan()
2025-09-07T06:38:42.0945640Z >>>         return replace(plan, planner_data="per-rank-data")
2025-09-07T06:38:42.0945680Z >>>
2025-09-07T06:38:42.0945880Z >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-09-07T06:38:42.0946000Z >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-09-07T06:38:42.0946130Z >>>         merged_data = [p.planner_data for p in global_plan]
2025-09-07T06:38:42.0946240Z >>>         metadata = replace(metadata, planner_data=merged_data)
2025-09-07T06:38:42.0946310Z >>>         return global_plan, metadata
2025-09-07T06:38:42.0946310Z 
2025-09-07T06:38:42.0946510Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.1099150Z 
2025-09-07T06:38:42.1100080Z msg = Cannot scrape callname=LoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-09-07T06:38:42.1100260Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.1100260Z 
2025-09-07T06:38:42.1100450Z Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-09-07T06:38:42.1100450Z 
2025-09-07T06:38:42.1100670Z LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-09-07T06:38:42.1100670Z 
2025-09-07T06:38:42.1100850Z LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-09-07T06:38:42.1100920Z will be visible to the whole process.
2025-09-07T06:38:42.1100920Z 
2025-09-07T06:38:42.1101100Z A planner subclass can expect the following sequence of calls during load_state_dict:
2025-09-07T06:38:42.1101100Z 
2025-09-07T06:38:42.1101170Z 1) set_up_planner - called on all ranks.
2025-09-07T06:38:42.1101250Z     Signals the start of loading a checkpoint.
2025-09-07T06:38:42.1101250Z 
2025-09-07T06:38:42.1101330Z 2) create_local_plan - called on all ranks.
2025-09-07T06:38:42.1101510Z     Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-09-07T06:38:42.1101510Z 
2025-09-07T06:38:42.1101790Z 3) create_global_plan - called on the coordinator rank only.
2025-09-07T06:38:42.1101930Z     Takes the LoadPlan from all ranks and make any global decision.
2025-09-07T06:38:42.1101930Z 
2025-09-07T06:38:42.1102020Z 4) load_bytes - called multiple times on each rank
2025-09-07T06:38:42.1102130Z     This is called once per non-tensor value in state_dict.
2025-09-07T06:38:42.1102130Z 
2025-09-07T06:38:42.1102270Z 5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-09-07T06:38:42.1102380Z     They are called in pair for each Tensor value in state_dict.
2025-09-07T06:38:42.1102390Z 
2025-09-07T06:38:42.1102580Z Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-09-07T06:38:42.1102690Z most changes can be expressed by changes in a single method.
2025-09-07T06:38:42.1102800Z 
2025-09-07T06:38:42.1102880Z There are two usual patterns of extension:
2025-09-07T06:38:42.1102880Z 
2025-09-07T06:38:42.1103040Z Rewriting state_dict. This is the simplest way to extend the load process as it
2025-09-07T06:38:42.1103200Z doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-09-07T06:38:42.1103330Z to keep a reference to the original state_dict as load happens in place so
2025-09-07T06:38:42.1103400Z we need to be able to perform it in place
2025-09-07T06:38:42.1103400Z 
2025-09-07T06:38:42.1103470Z >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:42.1103550Z >>> class RenamePlanner(DefaultLoadPlanner):
2025-09-07T06:38:42.1103610Z >>>     def set_up_planner(
2025-09-07T06:38:42.1103650Z >>>         self,
2025-09-07T06:38:42.1103720Z >>>         state_dict: STATE_DICT_TYPE,
2025-09-07T06:38:42.1103770Z >>>         metadata: Metadata,
2025-09-07T06:38:42.1103830Z >>>         is_coordinator: bool,
2025-09-07T06:38:42.1103870Z >>>     ) -> None:
2025-09-07T06:38:42.1103950Z >>>         self.original_state_dict = state_dict
2025-09-07T06:38:42.1104060Z >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-09-07T06:38:42.1104110Z >>>
2025-09-07T06:38:42.1104170Z >>>         if self.flatten_sharded_tensors:
2025-09-07T06:38:42.1104380Z >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-09-07T06:38:42.1104420Z >>>
2025-09-07T06:38:42.1104480Z >>>         if self.flatten_state_dict:
2025-09-07T06:38:42.1104590Z >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-09-07T06:38:42.1104630Z >>>
2025-09-07T06:38:42.1104690Z >>>         self.state_dict = state_dict
2025-09-07T06:38:42.1104780Z >>>         self.metadata = metadata
2025-09-07T06:38:42.1104860Z >>>         self.is_coordinator = is_coordinator
2025-09-07T06:38:42.1104900Z >>>
2025-09-07T06:38:42.1104970Z >>>     def load_bytes(self, read_item, value):
2025-09-07T06:38:42.1105030Z >>> # Remove the "foo_" prefix
2025-09-07T06:38:42.1105220Z >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-09-07T06:38:42.1105220Z 
2025-09-07T06:38:42.1105230Z 
2025-09-07T06:38:42.1105380Z Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-09-07T06:38:42.1105390Z 
2025-09-07T06:38:42.1105450Z >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:42.1105540Z >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-09-07T06:38:42.1105610Z >>>     def resolve_tensor(self, read_item):
2025-09-07T06:38:42.1105690Z >>>         tensor = super().resolve_tensor(read_item)
2025-09-07T06:38:42.1105780Z >>>         return torch.empty_like(tensor, device="cpu")
2025-09-07T06:38:42.1105820Z >>>
2025-09-07T06:38:42.1105910Z >>>     def commit_tensor(self, read_item, tensor):
2025-09-07T06:38:42.1106000Z >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-09-07T06:38:42.1106000Z 
2025-09-07T06:38:42.1106160Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.1106160Z 
2025-09-07T06:38:42.1106650Z msg = Cannot scrape callname=get_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py line=1118.
2025-09-07T06:38:42.1106820Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.1106820Z 
2025-09-07T06:38:42.1106930Z Return the model state_dict and optimizers state_dict.
2025-09-07T06:38:42.1106930Z 
2025-09-07T06:38:42.1107070Z ``get_state_dict`` can process any module that is parallelized by PyTorch
2025-09-07T06:38:42.1107220Z FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any
2025-09-07T06:38:42.1107370Z combination of these parallelisms. The main functions of ``get_state_dict``
2025-09-07T06:38:42.1107500Z are: 1.) returning a model and optimizer state_dict that can be resharded
2025-09-07T06:38:42.1107740Z with a different number of trainers and/or different parallelisms.
2025-09-07T06:38:42.1107890Z 2.) hiding the parallelism-specific state_dict APIs. Users don't have to call
2025-09-07T06:38:42.1107930Z these APIs.
2025-09-07T06:38:42.1108000Z 3.) sanity checking the result state_dict.
2025-09-07T06:38:42.1108010Z 
2025-09-07T06:38:42.1108130Z The keys of the result state dictionary are the canonical FQNs (Fully
2025-09-07T06:38:42.1108280Z Qualified Names).  A canonical FQN refers to the FQN based on a parameter's
2025-09-07T06:38:42.1108420Z position in an nn.Module hierarchy. More specifically, a canonical FQN to a
2025-09-07T06:38:42.1108540Z parameter is the FQN returned by ``module.named_parameters()`` or
2025-09-07T06:38:42.1108670Z ``module.named_buffers()`` when the module is not distributed by any
2025-09-07T06:38:42.1108830Z parallelisms. Since the optimizer internally uses parameter IDs to represent
2025-09-07T06:38:42.1108960Z a parameter, there will be a conversion from the parameter IDs to the
2025-09-07T06:38:42.1109020Z canonical FQNs when calling this API.
2025-09-07T06:38:42.1109030Z 
2025-09-07T06:38:42.1109160Z ``get_state_dict`` can also process a module that is not parallelized. In
2025-09-07T06:38:42.1109290Z such a case, ``get_state_dict`` only performs one function -- converting the
2025-09-07T06:38:42.1109370Z optimizer parameter IDs to the canonical FQNs.
2025-09-07T06:38:42.1109420Z 
2025-09-07T06:38:42.1109470Z Example:
2025-09-07T06:38:42.1109530Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:42.1109580Z     >>> import torch
2025-09-07T06:38:42.1109720Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-09-07T06:38:42.1109850Z     >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-09-07T06:38:42.1110010Z     >>> from torch.distributed.checkpoint.state_dict import get_state_dict
2025-09-07T06:38:42.1110010Z 
2025-09-07T06:38:42.1110090Z     >>> fsdp_model = FSDP(copy.deepcopy(model))
2025-09-07T06:38:42.1110210Z     >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-09-07T06:38:42.1110280Z     >>> ddp_model = DDP(copy.deepcopy(model))
2025-09-07T06:38:42.1110390Z     >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-09-07T06:38:42.1110390Z 
2025-09-07T06:38:42.1110400Z 
2025-09-07T06:38:42.1110550Z     >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim)
2025-09-07T06:38:42.1110650Z     >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict(
2025-09-07T06:38:42.1110720Z     ...     fsdp_model, fsdp_optim
2025-09-07T06:38:42.1110760Z     ... )
2025-09-07T06:38:42.1110760Z 
2025-09-07T06:38:42.1110890Z     >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(),
2025-09-07T06:38:42.1110950Z     >>> # the asserts will fail.
2025-09-07T06:38:42.1111030Z     >>> assert ddp_state_dict == fsdp_state_dict
2025-09-07T06:38:42.1111120Z     >>> assert ddp_optim_state == fsdp_optim_state_dict
2025-09-07T06:38:42.1111120Z 
2025-09-07T06:38:42.1111120Z 
2025-09-07T06:38:42.1111170Z Args:
2025-09-07T06:38:42.1111260Z     model (nn.Module): the nn.Module to the model.
2025-09-07T06:38:42.1111370Z     optimizers (Union[None, Optimizer, Iterable[Optimizer]]):
2025-09-07T06:38:42.1111500Z         The optimizers that are used to optimize ``model``.
2025-09-07T06:38:42.1111670Z     submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters
2025-09-07T06:38:42.1111740Z         that belong to the submodules.
2025-09-07T06:38:42.1111840Z     options (StateDictOptions): the options to control how
2025-09-07T06:38:42.1111970Z         model state_dict and optimizer state_dict should be returned. See
2025-09-07T06:38:42.1112040Z         `StateDictOptions` for the details.
2025-09-07T06:38:42.1112040Z 
2025-09-07T06:38:42.1112090Z Returns:
2025-09-07T06:38:42.1112210Z     ``Tuple`` that contain model state_dict and optimizer state_dict.
2025-09-07T06:38:42.1112210Z 
2025-09-07T06:38:42.1112350Z :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType]
2025-09-07T06:38:42.1112410Z 
2025-09-07T06:38:42.1112560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.1112560Z 
2025-09-07T06:38:42.1112990Z msg = Cannot scrape callname=save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=97.
2025-09-07T06:38:42.1113140Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.1113150Z 
2025-09-07T06:38:42.1113220Z Save a distributed model in SPMD style.
2025-09-07T06:38:42.1113220Z 
2025-09-07T06:38:42.1113330Z This function is different from ``torch.save()`` as it handles
2025-09-07T06:38:42.1113490Z ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards.
2025-09-07T06:38:42.1113490Z 
2025-09-07T06:38:42.1113650Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-09-07T06:38:42.1113740Z save will call ``state_dict`` before serialization.
2025-09-07T06:38:42.1113740Z 
2025-09-07T06:38:42.1113790Z .. warning::
2025-09-07T06:38:42.1113940Z     There is no guarantees of Backwards Compatibility across PyTorch versions
2025-09-07T06:38:42.1113990Z     for saved state_dicts.
2025-09-07T06:38:42.1114000Z 
2025-09-07T06:38:42.1114050Z .. warning::
2025-09-07T06:38:42.1114240Z     If using the `process_group` argument, make sure that only its ranks
2025-09-07T06:38:42.1114370Z     call `save_state_dict` and that all data in state_dict belong to it.
2025-09-07T06:38:42.1114370Z 
2025-09-07T06:38:42.1114410Z .. note::
2025-09-07T06:38:42.1114570Z     When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of
2025-09-07T06:38:42.1114750Z     the shard_group should be calling `save_state_dict` and the corresponding process
2025-09-07T06:38:42.1114820Z     group needs to be passed in.
2025-09-07T06:38:42.1114820Z 
2025-09-07T06:38:42.1114870Z .. note::
2025-09-07T06:38:42.1115030Z     If no process group is available, this function assumes the intention is to save the
2025-09-07T06:38:42.1115090Z      state_dict in the local process.
2025-09-07T06:38:42.1115100Z 
2025-09-07T06:38:42.1115140Z .. note:
2025-09-07T06:38:42.1115220Z     Rank 0 is assumed to be the coordinator rank.
2025-09-07T06:38:42.1115220Z 
2025-09-07T06:38:42.1115230Z 
2025-09-07T06:38:42.1115270Z Args:
2025-09-07T06:38:42.1115360Z     state_dict (Dict[str, Any]): The state_dict to save.
2025-09-07T06:38:42.1115450Z     checkpoint_id (Union[str, os.PathLike, None]):
2025-09-07T06:38:42.1115580Z         The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-09-07T06:38:42.1115710Z         depends on the storage. It can be a path to a folder or to a file.
2025-09-07T06:38:42.1115810Z         It can also be a key if the storage is a key-value store.
2025-09-07T06:38:42.1115870Z         (Default: ``None``)
2025-09-07T06:38:42.1115940Z     storage_writer (Optional[StorageWriter]):
2025-09-07T06:38:42.1116060Z         Instance of StorageWriter used to perform writes. If this is not
2025-09-07T06:38:42.1116200Z         specified, DCP will automatically infer the writer based on the
2025-09-07T06:38:42.1116320Z         checkpoint_id. If checkpoint_id is also None, an exception will
2025-09-07T06:38:42.1116410Z         be raised. (Default: ``None``)
2025-09-07T06:38:42.1116480Z     planner (Optional[SavePlanner]):
2025-09-07T06:38:42.1116600Z         Instance of SavePlanner. If this is not specified, the default
2025-09-07T06:38:42.1116680Z         planner will be used. (Default: ``None``)
2025-09-07T06:38:42.1116750Z     process_group (Optional[ProcessGroup]):
2025-09-07T06:38:42.1116860Z         ProcessGroup to be used for cross-rank synchronization.
2025-09-07T06:38:42.1116920Z         (Default: ``None``)
2025-09-07T06:38:42.1116970Z     no_dist (bool):
2025-09-07T06:38:42.1117070Z         If ``True``, this function will assume the intent is to load
2025-09-07T06:38:42.1117140Z         a checkpoint on a single rank/process.
2025-09-07T06:38:42.1117270Z         (Default: ``False``)
2025-09-07T06:38:42.1117430Z     use_collectives (bool): If ``False``, this function will assume the intent is to save
2025-09-07T06:38:42.1117530Z         a checkpoint without using cross-rank synchronization.
2025-09-07T06:38:42.1117590Z         (Default: ``True``)
2025-09-07T06:38:42.1117720Z         This configuration is experimental and should be used with caution.
2025-09-07T06:38:42.1117900Z         It will change the format of the saved checkpoint and may not be backward compatible.
2025-09-07T06:38:42.1117900Z 
2025-09-07T06:38:42.1117940Z Returns:
2025-09-07T06:38:42.1118040Z     Metadata: Metadata object for the saved checkpoint.
2025-09-07T06:38:42.1118040Z 
2025-09-07T06:38:42.1118080Z Example:
2025-09-07T06:38:42.1118140Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:42.1118190Z     >>> my_model = MyModule()
2025-09-07T06:38:42.1118190Z 
2025-09-07T06:38:42.1118260Z     >>> state_dict = {"model": my_model}
2025-09-07T06:38:42.1118260Z 
2025-09-07T06:38:42.1118410Z     >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-09-07T06:38:42.1118460Z     ...     "/checkpoint/1"
2025-09-07T06:38:42.1118500Z     ... )
2025-09-07T06:38:42.1118580Z     >>> torch.distributed.checkpoint.save(
2025-09-07T06:38:42.1118640Z     >>>     state_dict=state_dict,
2025-09-07T06:38:42.1118710Z     >>>     storage_writer=fs_storage_writer,
2025-09-07T06:38:42.1118790Z     >>> )
2025-09-07T06:38:42.1118790Z 
2025-09-07T06:38:42.1118830Z .. note::
2025-09-07T06:38:42.1118960Z     save_state_dict uses collectives to coordinate writes across ranks.
2025-09-07T06:38:42.1119090Z     For NCCL-based process groups, internal tensor representations of
2025-09-07T06:38:42.1119260Z     objects must be moved to the GPU device before communication takes place.
2025-09-07T06:38:42.1119400Z     In this case, the device used is given by ``torch.cuda.current_device()``
2025-09-07T06:38:42.1119520Z     and it is the user's responsibility to ensure that this is set so that
2025-09-07T06:38:42.1119650Z     each rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-09-07T06:38:42.1119650Z 
2025-09-07T06:38:42.1119800Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.1321890Z 
2025-09-07T06:38:42.1322560Z msg = Cannot scrape callname=async_save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=230.
2025-09-07T06:38:42.1322780Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.1322940Z Asynchronous version of ``save``. This code first de-stages the state_dict on to the
2025-09-07T06:38:42.1323130Z     staging storage (defaults to CPU memory), and then calls the `save` in a separate thread.
2025-09-07T06:38:42.1323140Z 
2025-09-07T06:38:42.1323190Z     .. warning::
2025-09-07T06:38:42.1323300Z         This feature is experimental and subject to change.
2025-09-07T06:38:42.1323390Z         MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED
2025-09-07T06:38:42.1323400Z 
2025-09-07T06:38:42.1323440Z     Args:
2025-09-07T06:38:42.1323550Z         state_dict (Dict[str, Any]): The state_dict to save.
2025-09-07T06:38:42.1323760Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-09-07T06:38:42.1323900Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-09-07T06:38:42.1324030Z             depends on the storage. It can be a path to a folder or to a file.
2025-09-07T06:38:42.1324140Z             It can also be a key if the storage is a key-value store.
2025-09-07T06:38:42.1324200Z             (Default: ``None``)
2025-09-07T06:38:42.1324290Z         storage_writer (Optional[StorageWriter]):
2025-09-07T06:38:42.1324420Z             Instance of StorageWriter used to perform 'stage' and  'save'. If
2025-09-07T06:38:42.1324570Z             this is not specified, DCP will automatically infer the writer based on the
2025-09-07T06:38:42.1324700Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-09-07T06:38:42.1324860Z             be raised. (Default: ``None``)
2025-09-07T06:38:42.1324930Z         planner (Optional[SavePlanner]):
2025-09-07T06:38:42.1325060Z             Instance of SavePlanner. If this is not specified, the default
2025-09-07T06:38:42.1325140Z             planner will be used. (Default: ``None``)
2025-09-07T06:38:42.1325230Z         process_group (Optional[ProcessGroup]):
2025-09-07T06:38:42.1325350Z             ProcessGroup to be used for cross-rank synchronization.
2025-09-07T06:38:42.1325410Z             (Default: ``None``)
2025-09-07T06:38:42.1325510Z         async_checkpointer_type (AsyncCheckpointerType):
2025-09-07T06:38:42.1325620Z             whether to do checkpoint in separate thread or process
2025-09-07T06:38:42.1325710Z             (Default: ``AsyncCheckpointerType.THREAD``)
2025-09-07T06:38:42.1325770Z         async_stager (AsyncStager):
2025-09-07T06:38:42.1325930Z             provides staging implementation. If storage_writer implements AsyncStager
2025-09-07T06:38:42.1326070Z             and async_stager is provided, async_stager will be used for staging
2025-09-07T06:38:42.1326120Z         no_dist (bool):
2025-09-07T06:38:42.1326220Z             If ``True``, this function will assume the intent is to save
2025-09-07T06:38:42.1326300Z             a checkpoint on a single rank/process.
2025-09-07T06:38:42.1326410Z             (Default: ``False``)
2025-09-07T06:38:42.1326600Z         use_collectives: If False, Save the checkpoint without rank coordination. (Default: ``True``)
2025-09-07T06:38:42.1326740Z             This configuration is experimental and should be used with caution.
2025-09-07T06:38:42.1326930Z             It will change the format of the saved checkpoint and may not be backward compatible.
2025-09-07T06:38:42.1326930Z 
2025-09-07T06:38:42.1326970Z     Returns:
2025-09-07T06:38:42.1327100Z         Future: A future holding the resultant Metadata object from `save`.
2025-09-07T06:38:42.1327110Z 
2025-09-07T06:38:42.1327150Z     Example:
2025-09-07T06:38:42.1327210Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:42.1327260Z         >>> my_model = MyModule()
2025-09-07T06:38:42.1327270Z 
2025-09-07T06:38:42.1327340Z         >>> state_dict = {"model": my_model}
2025-09-07T06:38:42.1327340Z 
2025-09-07T06:38:42.1327480Z         >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-09-07T06:38:42.1327540Z         ...     "/checkpoint/1"
2025-09-07T06:38:42.1327590Z         ... )
2025-09-07T06:38:42.1327710Z         >>> checkpoint_future = torch.distributed.checkpoint.async_save(
2025-09-07T06:38:42.1327780Z         >>>     state_dict=state_dict,
2025-09-07T06:38:42.1327850Z         >>>     storage_writer=fs_storage_writer,
2025-09-07T06:38:42.1327890Z         >>> )
2025-09-07T06:38:42.1327930Z         >>>
2025-09-07T06:38:42.1327990Z         >>> # ... do some work ...
2025-09-07T06:38:42.1328030Z         >>>
2025-09-07T06:38:42.1328100Z         >>> checkpoint_future.result()
2025-09-07T06:38:42.1328100Z 
2025-09-07T06:38:42.1328140Z     
2025-09-07T06:38:42.1328290Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.1328300Z 
2025-09-07T06:38:42.1328810Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=69.
2025-09-07T06:38:42.1328980Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.1328980Z 
2025-09-07T06:38:42.1329100Z Load a checkpoint into a distributed state dict in SPMD style.
2025-09-07T06:38:42.1329100Z 
2025-09-07T06:38:42.1329230Z Each rank must have the same keys in their ``state_dict`` provided to this
2025-09-07T06:38:42.1329370Z API. Mismatched keys may result in hangs or errors. If unsure, you can use
2025-09-07T06:38:42.1329500Z the ``utils._assert_same_keys`` API to check (but may incur communication
2025-09-07T06:38:42.1329550Z costs).
2025-09-07T06:38:42.1329640Z 
2025-09-07T06:38:42.1329750Z Each rank will try to read the least amount of data necessary
2025-09-07T06:38:42.1329890Z to fulfill the requested `state_dict`. When loading :class:`ShardedTensor`
2025-09-07T06:38:42.1330040Z or :class:`DTensor` instances, each rank only reads data for their local shards.
2025-09-07T06:38:42.1330040Z 
2025-09-07T06:38:42.1330200Z For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-09-07T06:38:42.1330360Z load will first call ``state_dict`` before attempting deserialization, followed by
2025-09-07T06:38:42.1330460Z ``load_state_dict`` once the deserialization is complete.
2025-09-07T06:38:42.1330620Z For each non-``Stateful`` object, load will deserialize the object, and then replace
2025-09-07T06:38:42.1330710Z it in the ``state_dict`` with the deserialized object.
2025-09-07T06:38:42.1330710Z 
2025-09-07T06:38:42.1330760Z .. warning::
2025-09-07T06:38:42.1330860Z     All tensors in ``state_dict`` must be allocated on their
2025-09-07T06:38:42.1330960Z     destination device *prior to* calling this function.
2025-09-07T06:38:42.1330960Z 
2025-09-07T06:38:42.1331100Z     All non-tensor data is loaded using `torch.load()` and modified in place
2025-09-07T06:38:42.1331150Z     on state_dict.
2025-09-07T06:38:42.1331150Z 
2025-09-07T06:38:42.1331200Z .. warning::
2025-09-07T06:38:42.1331340Z     Users must call `load_state_dict` on the root module to ensure load
2025-09-07T06:38:42.1331450Z     pos-processing and non-tensor data properly propagates.
2025-09-07T06:38:42.1331450Z 
2025-09-07T06:38:42.1331500Z .. note:
2025-09-07T06:38:42.1331640Z     If no process group is initialized, this function will assume the intent
2025-09-07T06:38:42.1331830Z     is to load a checkpoint into the local process. This can be useful in the
2025-09-07T06:38:42.1331980Z     case of local inference, and when using regular Tensors (as opposed to DTensor
2025-09-07T06:38:42.1332030Z      or ShardedTensor)
2025-09-07T06:38:42.1332030Z 
2025-09-07T06:38:42.1332080Z .. note:
2025-09-07T06:38:42.1332160Z     Rank 0 is assumed to be the coordinator rank.
2025-09-07T06:38:42.1332160Z 
2025-09-07T06:38:42.1332200Z Args:
2025-09-07T06:38:42.1332330Z     state_dict (Dict[str, Any]): The state_dict to load the checkpoint into.
2025-09-07T06:38:42.1332420Z     checkpoint_id (Union[str, os.PathLike, None]):
2025-09-07T06:38:42.1332540Z         The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-09-07T06:38:42.1332670Z         depends on the storage. It can be a path to a folder or to a file.
2025-09-07T06:38:42.1332770Z         It can also be a key if the storage is a key-value store.
2025-09-07T06:38:42.1332830Z         (Default: ``None``)
2025-09-07T06:38:42.1332900Z     storage_reader (Optional[StorageReader]):
2025-09-07T06:38:42.1333030Z         Instance of StorageWriter used to perform reads. If this is not
2025-09-07T06:38:42.1333150Z         specified, DCP will automatically infer the reader based on the
2025-09-07T06:38:42.1333270Z         checkpoint_id. If checkpoint_id is also None, an exception will
2025-09-07T06:38:42.1333340Z         be raised. (Default: ``None``)
2025-09-07T06:38:42.1333400Z     planner (Optional[LoadPlanner]):
2025-09-07T06:38:42.1333560Z         Instance of LoadPlanner. If this is not specified, the default
2025-09-07T06:38:42.1333640Z         planner will be used. (Default: ``None``)
2025-09-07T06:38:42.1333720Z     process_group (Optional[ProcessGroup]):
2025-09-07T06:38:42.1333830Z         ProcessGroup to be used for cross-rank synchronization.
2025-09-07T06:38:42.1333890Z         (Default: ``None``)
2025-09-07T06:38:42.1334020Z     no_dist (bool): If ``True``, this function will assume the intent is to load
2025-09-07T06:38:42.1334170Z         a checkpoint without using cross-rank synchronization. (Default: ``False``)
2025-09-07T06:38:42.1334210Z Returns:
2025-09-07T06:38:42.1334260Z     None.
2025-09-07T06:38:42.1334260Z 
2025-09-07T06:38:42.1334310Z Examples
2025-09-07T06:38:42.1334360Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:42.1334500Z     >>> my_model = MyModule()
2025-09-07T06:38:42.1334580Z     >>> optimizer = Adagrad(my_model.parameters())
2025-09-07T06:38:42.1334660Z     >>> model_state_dict = my_model.state_dict()
2025-09-07T06:38:42.1334800Z     >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader(
2025-09-07T06:38:42.1334860Z     ...     "/checkpoint/1"
2025-09-07T06:38:42.1334900Z     ... )
2025-09-07T06:38:42.1334900Z 
2025-09-07T06:38:42.1335000Z     >>> torch.distributed.checkpoint.load_state_dict(
2025-09-07T06:38:42.1335060Z     >>>     state_dict=model_state_dict,
2025-09-07T06:38:42.1335130Z     >>>     storage_reader=fs_storage_reader,
2025-09-07T06:38:42.1335170Z     >>> )
2025-09-07T06:38:42.1335180Z 
2025-09-07T06:38:42.1335300Z     >>> # module.load_state_dict() function might have customized steps
2025-09-07T06:38:42.1335380Z     >>> # to flush the state_dict, must call it to
2025-09-07T06:38:42.1335440Z     >>> # ensure correct behavior.
2025-09-07T06:38:42.1335520Z     >>> my_model.load_state_dict(model_state_dict)
2025-09-07T06:38:42.1335520Z 
2025-09-07T06:38:42.1335560Z .. note::
2025-09-07T06:38:42.1335690Z     load_state_dict uses collectives to coordinate reads across ranks.
2025-09-07T06:38:42.1335820Z     For NCCL-based process groups, internal tensor representations of
2025-09-07T06:38:42.1335990Z     objects must be moved to the GPU device before communication takes place.
2025-09-07T06:38:42.1336130Z     In this case, the device used is given by ``torch.cuda.current_device()``
2025-09-07T06:38:42.1336270Z     and it is the user's responsibility to ensure that this is set so that each
2025-09-07T06:38:42.1336380Z     rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-09-07T06:38:42.1336400Z 
2025-09-07T06:38:42.1336560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.1336560Z 
2025-09-07T06:38:42.1337030Z msg = Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=221.
2025-09-07T06:38:42.1337190Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.1337190Z 
2025-09-07T06:38:42.1337320Z Load a state_dict in conjunction with FSDP sharded optimizer state.
2025-09-07T06:38:42.1337330Z 
2025-09-07T06:38:42.1337420Z This is the current recommended way to checkpoint FSDP.
2025-09-07T06:38:42.1337480Z >>> # xdoctest: +SKIP
2025-09-07T06:38:42.1337570Z >>> import torch.distributed.checkpoint as dist_cp
2025-09-07T06:38:42.1337610Z >>> # Save
2025-09-07T06:38:42.1337660Z >>> model: torch.nn.Model
2025-09-07T06:38:42.1337730Z >>> optim_params = model.parameters()
2025-09-07T06:38:42.1337820Z >>> optim = torch.optim.SGD(optim_params, lr=0.01)
2025-09-07T06:38:42.1337860Z >>> # Save
2025-09-07T06:38:42.1337990Z >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT):
2025-09-07T06:38:42.1338030Z >>>     state_dict = {
2025-09-07T06:38:42.1338140Z >>>         "optimizer": FSDP.optim_state_dict(model, optim),
2025-09-07T06:38:42.1338200Z >>>         "model": model.state_dict()
2025-09-07T06:38:42.1338240Z >>>     }
2025-09-07T06:38:42.1338330Z >>>     dist_cp.save_state_dict(
2025-09-07T06:38:42.1338400Z >>>         state_dict=optim_state,
2025-09-07T06:38:42.1338510Z >>>         storage_writer=dist_cp.FileSystemWriter("checkpoint"),
2025-09-07T06:38:42.1338590Z >>>         planner=dist_cp.DefaultSavePlanner(),
2025-09-07T06:38:42.1338630Z >>>     )
2025-09-07T06:38:42.1338670Z >>>
2025-09-07T06:38:42.1338710Z >>> # Load
2025-09-07T06:38:42.1338840Z >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT):
2025-09-07T06:38:42.1338920Z >>>     model_state_dict = model_tp.state_dict()
2025-09-07T06:38:42.1338970Z >>>     checkpoint = {
2025-09-07T06:38:42.1339030Z >>>         "model": model_state_dict
2025-09-07T06:38:42.1339070Z >>>     }
2025-09-07T06:38:42.1339130Z >>>     dist_cp.load_state_dict(
2025-09-07T06:38:42.1339240Z >>>         state_dict=checkpoint,
2025-09-07T06:38:42.1339360Z >>>         storage_reader=dist_cp.FileSystemReader(checkpoint_file),
2025-09-07T06:38:42.1339440Z >>>         planner=dist_cp.DefaultLoadPlanner(),
2025-09-07T06:38:42.1339480Z >>>     )
2025-09-07T06:38:42.1339580Z >>>     model.load_state_dict(checkpoint["model_state"])
2025-09-07T06:38:42.1339620Z >>>
2025-09-07T06:38:42.1339730Z >>>     optim_state = dist_cp.load_sharded_optimizer_state_dict(
2025-09-07T06:38:42.1339780Z >>>         model_state_dict,
2025-09-07T06:38:42.1339850Z >>>         optimizer_key="optimizer",
2025-09-07T06:38:42.1339960Z >>>         storage_reader=dist_cp.FileSystemReader("checkpoint"),
2025-09-07T06:38:42.1340000Z >>>     )
2025-09-07T06:38:42.1340040Z >>>
2025-09-07T06:38:42.1340130Z >>>     flattened_osd = FSDP.optim_state_dict_to_load(
2025-09-07T06:38:42.1340200Z >>>        model, optim, optim_state["optimizer"]
2025-09-07T06:38:42.1340250Z >>>     )
2025-09-07T06:38:42.1340290Z >>>
2025-09-07T06:38:42.1340360Z >>>     optim.load_state_dict(flattened_osd)
2025-09-07T06:38:42.1340360Z 
2025-09-07T06:38:42.1340510Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.2137190Z 
2025-09-07T06:38:42.2137830Z msg = Cannot scrape callname=_RemoteModule.__init__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=129.
2025-09-07T06:38:42.2138170Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.2138180Z 
2025-09-07T06:38:42.2138320Z RemoteModule instance can only be created after RPC initialization.
2025-09-07T06:38:42.2138320Z 
2025-09-07T06:38:42.2138490Z It creates a user-specified module on a specified remote node.
2025-09-07T06:38:42.2138640Z It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-09-07T06:38:42.2138710Z executed on the remote node.
2025-09-07T06:38:42.2138850Z It takes care of autograd recording to ensure the backward pass propagates
2025-09-07T06:38:42.2138950Z gradients back to the corresponding remote module.
2025-09-07T06:38:42.2139170Z It can be shared across processors using `RPC framework <https://pytorch.org/docs/stable/rpc.html>`__,
2025-09-07T06:38:42.2139300Z without incurring any overheads of copying the actual module,
2025-09-07T06:38:42.2139420Z which is equivalent to an :class:`~torch.distributed.rpc.RRef`
2025-09-07T06:38:42.2139490Z pointing to the remote module.
2025-09-07T06:38:42.2139490Z 
2025-09-07T06:38:42.2139650Z The arguments of ``forward_async`` and ``forward`` are the same as
2025-09-07T06:38:42.2139780Z the ``forward`` method of the module returned by the ``module_cls``.
2025-09-07T06:38:42.2139780Z 
2025-09-07T06:38:42.2139980Z Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now.
2025-09-07T06:38:42.2139980Z 
2025-09-07T06:38:42.2140130Z Particularly, to create a hybrid model, typically the local modules should be
2025-09-07T06:38:42.2140370Z created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``).
2025-09-07T06:38:42.2140420Z Hybrid Example:
2025-09-07T06:38:42.2140580Z         >>> class HybridModel(nn.Module):
2025-09-07T06:38:42.2140640Z         >>>     def __init__(self) -> None:
2025-09-07T06:38:42.2140710Z         >>>         nn.Module.__init__(self)
2025-09-07T06:38:42.2140800Z         >>>         self.remote_embedding = RemoteModule(...)
2025-09-07T06:38:42.2140880Z         >>>         self.local_linear = nn.Linear(...)
2025-09-07T06:38:42.2140890Z 
2025-09-07T06:38:42.2141010Z For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-09-07T06:38:42.2141170Z that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``,
2025-09-07T06:38:42.2141300Z the generated ``RemoteModule`` will have 2 methods in signature of
2025-09-07T06:38:42.2141380Z ``def forward(input: Tensor) -> Tensor:`` and
2025-09-07T06:38:42.2141590Z ``def forward_async(input: Tensor) -> Future[Tensor]:``.
2025-09-07T06:38:42.2141590Z 
2025-09-07T06:38:42.2141640Z .. note::
2025-09-07T06:38:42.2141730Z     If the remote module is placed on a cuda device,
2025-09-07T06:38:42.2141870Z     any input CPU tensors will be automatically moved to the same cuda device,
2025-09-07T06:38:42.2142120Z     and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend.
2025-09-07T06:38:42.2142120Z 
2025-09-07T06:38:42.2142160Z Args:
2025-09-07T06:38:42.2142350Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-09-07T06:38:42.2142520Z         The device can be a local device or a remote device specified by one of the following remote
2025-09-07T06:38:42.2142570Z         formats:
2025-09-07T06:38:42.2142570Z 
2025-09-07T06:38:42.2142660Z             1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-09-07T06:38:42.2142750Z             2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-09-07T06:38:42.2142750Z 
2025-09-07T06:38:42.2142900Z         In addition, the device field can be optional and the default value is "cpu".
2025-09-07T06:38:42.2142970Z     module_cls (nn.Module): For example,
2025-09-07T06:38:42.2143030Z         >>> class MyModule(nn.Module):
2025-09-07T06:38:42.2143120Z         >>>     def forward(input):
2025-09-07T06:38:42.2143180Z         >>>         return input + 1
2025-09-07T06:38:42.2143220Z         >>>
2025-09-07T06:38:42.2143270Z         >>> module_cls = MyModule
2025-09-07T06:38:42.2143400Z     args (Sequence, optional): args to be passed to ``module_cls``.
2025-09-07T06:38:42.2143530Z     kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-09-07T06:38:42.2143700Z     _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-09-07T06:38:42.2143850Z         to be created. The type object should be decorated by @torch.jit.interface.
2025-09-07T06:38:42.2143980Z         If not provided, the generated RemoteModule is not torchscript-able.
2025-09-07T06:38:42.2144130Z         Warning, this is an experimental API and susceptible to frequent changes.
2025-09-07T06:38:42.2144130Z 
2025-09-07T06:38:42.2144170Z Returns:
2025-09-07T06:38:42.2144330Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-09-07T06:38:42.2144470Z     user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-09-07T06:38:42.2144640Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-09-07T06:38:42.2144720Z     on the user-provided module on the remote side.
2025-09-07T06:38:42.2144720Z 
2025-09-07T06:38:42.2144770Z Example::
2025-09-07T06:38:42.2144860Z     Run the following code in two different processes:
2025-09-07T06:38:42.2144860Z 
2025-09-07T06:38:42.2144930Z     >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:42.2144970Z     >>> # On worker 0:
2025-09-07T06:38:42.2145020Z     >>> import torch
2025-09-07T06:38:42.2145100Z     >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:42.2145160Z     >>> from torch import nn, Tensor
2025-09-07T06:38:42.2145290Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-09-07T06:38:42.2145380Z     >>>
2025-09-07T06:38:42.2145470Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-09-07T06:38:42.2145540Z     >>> remote_linear_module = RemoteModule(
2025-09-07T06:38:42.2145620Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-09-07T06:38:42.2145660Z     >>> )
2025-09-07T06:38:42.2145730Z     >>> input = torch.randn(128, 20)
2025-09-07T06:38:42.2145820Z     >>> ret_fut = remote_linear_module.forward_async(input)
2025-09-07T06:38:42.2145880Z     >>> ret = ret_fut.wait()
2025-09-07T06:38:42.2145930Z     >>> rpc.shutdown()
2025-09-07T06:38:42.2145930Z 
2025-09-07T06:38:42.2145980Z     >>> # On worker 1:
2025-09-07T06:38:42.2146030Z     >>> import torch
2025-09-07T06:38:42.2146100Z     >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:42.2146210Z     >>>
2025-09-07T06:38:42.2146300Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-09-07T06:38:42.2146350Z     >>> rpc.shutdown()
2025-09-07T06:38:42.2146350Z 
2025-09-07T06:38:42.2146500Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.2146510Z 
2025-09-07T06:38:42.2146990Z msg = Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=506.
2025-09-07T06:38:42.2147150Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.2147150Z 
2025-09-07T06:38:42.2147340Z Besides the constructor, a RemoteModule instance can also be initialized given a module RRef.
2025-09-07T06:38:42.2147350Z 
2025-09-07T06:38:42.2147540Z This alternate initialization method can be particularly useful if we want to create multiple
2025-09-07T06:38:42.2147730Z RemoteModule instances that share the same underlying module and reduce memory consumption.
2025-09-07T06:38:42.2147730Z 
2025-09-07T06:38:42.2147900Z Moreover, this also provides a workaround for passing script RemoteModule over RPC,
2025-09-07T06:38:42.2148010Z which is not supported. The recommended way is as follows:
2025-09-07T06:38:42.2148030Z 
2025-09-07T06:38:42.2148100Z     1. the sender creates a RemoteModule;
2025-09-07T06:38:42.2148190Z     2. the sender sends its ``module_rref`` over RPC;
2025-09-07T06:38:42.2148400Z     3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``.
2025-09-07T06:38:42.2148400Z 
2025-09-07T06:38:42.2148440Z Example::
2025-09-07T06:38:42.2148570Z     Run the following code in two different processes:
2025-09-07T06:38:42.2148570Z 
2025-09-07T06:38:42.2148640Z     >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:42.2148690Z     >>> # On worker 0:
2025-09-07T06:38:42.2148730Z     >>> import torch
2025-09-07T06:38:42.2148810Z     >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:42.2148870Z     >>> from torch import nn, Tensor
2025-09-07T06:38:42.2149000Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-09-07T06:38:42.2149040Z     >>>
2025-09-07T06:38:42.2149130Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-09-07T06:38:42.2149190Z     >>> remote_module = RemoteModule(
2025-09-07T06:38:42.2149270Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-09-07T06:38:42.2149310Z     >>> )
2025-09-07T06:38:42.2149350Z     >>>
2025-09-07T06:38:42.2149410Z     >>> remote_module1 = rpc.rpc_sync(
2025-09-07T06:38:42.2149470Z     >>>     "worker1/cpu",
2025-09-07T06:38:42.2149540Z     >>>     RemoteModule.init_from_module_rref,
2025-09-07T06:38:42.2149640Z     >>>     ("worker1/cpu", remote_module1.get_module_rref()),
2025-09-07T06:38:42.2149680Z     >>> )
2025-09-07T06:38:42.2149730Z     >>> rpc.shutdown()
2025-09-07T06:38:42.2149730Z 
2025-09-07T06:38:42.2149780Z     >>> # On worker 1:
2025-09-07T06:38:42.2149830Z     >>> import torch
2025-09-07T06:38:42.2149890Z     >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:42.2156180Z     >>>
2025-09-07T06:38:42.2156270Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-09-07T06:38:42.2156420Z     >>> rpc.shutdown()
2025-09-07T06:38:42.2156430Z 
2025-09-07T06:38:42.2156470Z Args:
2025-09-07T06:38:42.2156650Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-09-07T06:38:42.2156830Z         The device can be a local device or a remote device specified by one of the following remote
2025-09-07T06:38:42.2156870Z         formats:
2025-09-07T06:38:42.2156870Z 
2025-09-07T06:38:42.2156960Z             1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-09-07T06:38:42.2157050Z             2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-09-07T06:38:42.2157060Z 
2025-09-07T06:38:42.2157250Z         In addition, the device field can be optional and the default value is "cpu".
2025-09-07T06:38:42.2157470Z     module_rref (RRef[nn.Module]): The module reference shared by both the caller and
2025-09-07T06:38:42.2157530Z         the created remote module.
2025-09-07T06:38:42.2157700Z     _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-09-07T06:38:42.2157840Z         to be created. The type object should be decorated by @torch.jit.interface.
2025-09-07T06:38:42.2157970Z         If not provided, the generated RemoteModule is not torchscript-able.
2025-09-07T06:38:42.2158110Z         Warning, this is an experimental API and susceptible to frequent changes.
2025-09-07T06:38:42.2158110Z 
2025-09-07T06:38:42.2158160Z Returns:
2025-09-07T06:38:42.2158300Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-09-07T06:38:42.2158450Z     user-provided ``module_rref``, it has a blocking ``forward`` method and an
2025-09-07T06:38:42.2158610Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-09-07T06:38:42.2158690Z     on the user-provided module on the remote side.
2025-09-07T06:38:42.2158700Z 
2025-09-07T06:38:42.2158850Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.2158850Z 
2025-09-07T06:38:42.2159310Z msg = Cannot scrape callname=RemoteModule in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=598.
2025-09-07T06:38:42.2159490Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.2159500Z 
2025-09-07T06:38:42.2159640Z     A RemoteModule instance can only be created after RPC initialization.
2025-09-07T06:38:42.2159640Z 
2025-09-07T06:38:42.2159780Z     It creates a user-specified module on a specified remote node.
2025-09-07T06:38:42.2159920Z     It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-09-07T06:38:42.2159980Z     executed on the remote node.
2025-09-07T06:38:42.2160120Z     It takes care of autograd recording to ensure the backward pass propagates
2025-09-07T06:38:42.2160220Z     gradients back to the corresponding remote module.
2025-09-07T06:38:42.2160220Z 
2025-09-07T06:38:42.2160370Z     It generates two methods ``forward_async`` and ``forward`` based on the
2025-09-07T06:38:42.2160490Z     signature of the ``forward`` method of ``module_cls``. ``forward_async``
2025-09-07T06:38:42.2160640Z     runs asynchronously and returns a Future. The arguments of ``forward_async``
2025-09-07T06:38:42.2160770Z     and ``forward`` are the same as the ``forward`` method of the module
2025-09-07T06:38:42.2160830Z     returned by the ``module_cls``.
2025-09-07T06:38:42.2160830Z 
2025-09-07T06:38:42.2160950Z     For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-09-07T06:38:42.2161100Z     that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``,
2025-09-07T06:38:42.2161240Z     the generated ``RemoteModule`` will have 2 methods with the signatures:
2025-09-07T06:38:42.2161240Z 
2025-09-07T06:38:42.2161320Z     | ``def forward(input: Tensor) -> Tensor:``
2025-09-07T06:38:42.2161420Z     | ``def forward_async(input: Tensor) -> Future[Tensor]:``
2025-09-07T06:38:42.2161420Z 
2025-09-07T06:38:42.2161500Z Args:
2025-09-07T06:38:42.2161690Z     remote_device (str): Device on the destination worker where we'd like to place this module.
2025-09-07T06:38:42.2161890Z         The format should be "<workername>/<device>", where the device field can be parsed as torch.device type.
2025-09-07T06:38:42.2161980Z         E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0".
2025-09-07T06:38:42.2162130Z         In addition, the device field can be optional and the default value is "cpu".
2025-09-07T06:38:42.2162280Z     module_cls (nn.Module): Class for the module to be created remotely. For example,
2025-09-07T06:38:42.2162280Z 
2025-09-07T06:38:42.2162340Z         >>> class MyModule(nn.Module):
2025-09-07T06:38:42.2162400Z         >>>     def forward(input):
2025-09-07T06:38:42.2162510Z         >>>         return input + 1
2025-09-07T06:38:42.2162560Z         >>>
2025-09-07T06:38:42.2162610Z         >>> module_cls = MyModule
2025-09-07T06:38:42.2162610Z 
2025-09-07T06:38:42.2162740Z     args (Sequence, optional): args to be passed to ``module_cls``.
2025-09-07T06:38:42.2162860Z     kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-09-07T06:38:42.2162860Z 
2025-09-07T06:38:42.2162910Z Returns:
2025-09-07T06:38:42.2163060Z     A remote module instance which wraps the :class:`~nn.Module` created by the
2025-09-07T06:38:42.2163190Z     user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-09-07T06:38:42.2163360Z     asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-09-07T06:38:42.2163440Z     on the user-provided module on the remote side.
2025-09-07T06:38:42.2163450Z 
2025-09-07T06:38:42.2163490Z Example::
2025-09-07T06:38:42.2163590Z     Run the following code in two different processes:
2025-09-07T06:38:42.2163590Z 
2025-09-07T06:38:42.2163650Z     >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:42.2163700Z     >>> # On worker 0:
2025-09-07T06:38:42.2163760Z     >>> import torch
2025-09-07T06:38:42.2163830Z     >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:42.2163890Z     >>> from torch import nn, Tensor
2025-09-07T06:38:42.2164050Z     >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-09-07T06:38:42.2164100Z     >>>
2025-09-07T06:38:42.2164180Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-09-07T06:38:42.2164250Z     >>> remote_linear_module = RemoteModule(
2025-09-07T06:38:42.2164330Z     >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-09-07T06:38:42.2164400Z     >>> )
2025-09-07T06:38:42.2164460Z     >>> input = torch.randn(128, 20)
2025-09-07T06:38:42.2164550Z     >>> ret_fut = remote_linear_module.forward_async(input)
2025-09-07T06:38:42.2164610Z     >>> ret = ret_fut.wait()
2025-09-07T06:38:42.2164660Z     >>> rpc.shutdown()
2025-09-07T06:38:42.2164660Z 
2025-09-07T06:38:42.2164710Z     >>> # On worker 1:
2025-09-07T06:38:42.2164750Z     >>> import torch
2025-09-07T06:38:42.2164830Z     >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:42.2164860Z     >>>
2025-09-07T06:38:42.2164950Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-09-07T06:38:42.2165000Z     >>> rpc.shutdown()
2025-09-07T06:38:42.2165000Z 
2025-09-07T06:38:42.2165120Z     Furthermore, a more practical example that is combined with
2025-09-07T06:38:42.2165410Z     `DistributedDataParallel <https://pytorch.org/docs/stable/nn.html#torch.nn.parallel.DistributedDataParallel>`__ (DDP)
2025-09-07T06:38:42.2165610Z     can be found in this `tutorial <https://pytorch.org/tutorials/advanced/rpc_ddp_tutorial.html>`__.
2025-09-07T06:38:42.2165610Z 
2025-09-07T06:38:42.2165770Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.2860720Z 
2025-09-07T06:38:42.2861360Z msg = Cannot scrape callname=construct_and_record_rdzv_event in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/elastic/events/__init__.py line=94.
2025-09-07T06:38:42.2861750Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.2861760Z 
2025-09-07T06:38:42.2861890Z Initialize rendezvous event object and record its operations.
2025-09-07T06:38:42.2861900Z 
2025-09-07T06:38:42.2861950Z Args:
2025-09-07T06:38:42.2862030Z     run_id (str): The run id of the rendezvous.
2025-09-07T06:38:42.2862120Z     message (str): The message describing the event.
2025-09-07T06:38:42.2862300Z     node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED).
2025-09-07T06:38:42.2862430Z     name (str): Event name. (E.g. Current action being performed).
2025-09-07T06:38:42.2862500Z     hostname (str): Hostname of the node.
2025-09-07T06:38:42.2862590Z     pid (Optional[int]): The process id of the node.
2025-09-07T06:38:42.2862740Z     master_endpoint (str): The master endpoint for the rendezvous store, if known.
2025-09-07T06:38:42.2863030Z     local_id (Optional[int]):  The local_id of the node, if defined in dynamic_rendezvous.py
2025-09-07T06:38:42.2863130Z     rank (Optional[int]): The rank of the node, if known.
2025-09-07T06:38:42.2863180Z Returns:
2025-09-07T06:38:42.2863220Z     None
2025-09-07T06:38:42.2863270Z Example:
2025-09-07T06:38:42.2863350Z     >>> # See DynamicRendezvousHandler class
2025-09-07T06:38:42.2863390Z     >>> def _record(
2025-09-07T06:38:42.2863440Z     ...     self,
2025-09-07T06:38:42.2863490Z     ...     message: str,
2025-09-07T06:38:42.2863580Z     ...     node_state: NodeState = NodeState.RUNNING,
2025-09-07T06:38:42.2863640Z     ...     rank: Optional[int] = None,
2025-09-07T06:38:42.2863690Z     ... ) -> None:
2025-09-07T06:38:42.2863760Z     ...     construct_and_record_rdzv_event(
2025-09-07T06:38:42.2863870Z     ...         name=f"{self.__class__.__name__}.{get_method_name()}",
2025-09-07T06:38:42.2863940Z     ...         run_id=self._settings.run_id,
2025-09-07T06:38:42.2863990Z     ...         message=message,
2025-09-07T06:38:42.2864060Z     ...         node_state=node_state,
2025-09-07T06:38:42.2864120Z     ...         hostname=self._this_node.addr,
2025-09-07T06:38:42.2864190Z     ...         pid=self._this_node.pid,
2025-09-07T06:38:42.2864350Z     ...         local_id=self._this_node.local_id,
2025-09-07T06:38:42.2864400Z     ...         rank=rank,
2025-09-07T06:38:42.2864440Z     ...     )
2025-09-07T06:38:42.2864440Z 
2025-09-07T06:38:42.2864610Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.2864610Z 
2025-09-07T06:38:42.2865090Z msg = Cannot scrape callname=_CustomReducer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py line=29.
2025-09-07T06:38:42.2865260Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.2865290Z 
2025-09-07T06:38:42.2865440Z Custom reducer class that can be used to specify a custom operation that
2025-09-07T06:38:42.2865540Z reduces losses of multiple microbatches into one value.
2025-09-07T06:38:42.2865540Z 
2025-09-07T06:38:42.2865590Z Example:
2025-09-07T06:38:42.2865640Z >>> # xdoctest: +SKIP
2025-09-07T06:38:42.2865710Z >>> sum_reducer = _CustomReducer(
2025-09-07T06:38:42.2865760Z >>>     torch.tensor(0.0),
2025-09-07T06:38:42.2865820Z >>>     lambda a, b: a + b
2025-09-07T06:38:42.2865860Z >>> )
2025-09-07T06:38:42.2865860Z 
2025-09-07T06:38:42.2866020Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.2866020Z 
2025-09-07T06:38:42.2866530Z msg = Cannot scrape callname=PeriodicModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38.
2025-09-07T06:38:42.2866690Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.2866700Z 
2025-09-07T06:38:42.2866810Z Averages parameters periodically after the warm-up stage.
2025-09-07T06:38:42.2866810Z 
2025-09-07T06:38:42.2867060Z This can be used for running `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-09-07T06:38:42.2867190Z by running :class:`~torch.nn.DistributedDataParallel` (DDP)
2025-09-07T06:38:42.2867340Z using the subgroups created by :meth:`~torch.distributed.new_subgroups`.
2025-09-07T06:38:42.2867340Z 
2025-09-07T06:38:42.2867380Z Args:
2025-09-07T06:38:42.2867490Z     period (int): The number of steps per model averaging.
2025-09-07T06:38:42.2867660Z                   Usually the period should be greater than ``1`` to reduce the communication cost.
2025-09-07T06:38:42.2867740Z                   Otherwise, only DDP needs to be used.
2025-09-07T06:38:42.2867880Z     warmup_steps (int): The number of warm-up steps. During this stage,
2025-09-07T06:38:42.2867950Z                         model averaging is skipped.
2025-09-07T06:38:42.2868160Z     process_group: The process group to be used for all-reduce.
2025-09-07T06:38:42.2868250Z                    If ``None``, the default process group, which
2025-09-07T06:38:42.2868370Z                    is created by :func:`torch.distributed.init_process_group`,
2025-09-07T06:38:42.2868450Z                    will be used. (default: ``None``)
2025-09-07T06:38:42.2868450Z 
2025-09-07T06:38:42.2868510Z Example::
2025-09-07T06:38:42.2868520Z 
2025-09-07T06:38:42.2868590Z     >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:42.2868650Z     >>> import torch
2025-09-07T06:38:42.2868710Z     >>> import torch.distributed as dist
2025-09-07T06:38:42.2868910Z     >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD
2025-09-07T06:38:42.2869100Z     >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-09-07T06:38:42.2869160Z     >>> import torch.nn as nn
2025-09-07T06:38:42.2869200Z     >>>
2025-09-07T06:38:42.2869310Z     >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-09-07T06:38:42.2869370Z     >>> torch.cuda.set_device(rank)
2025-09-07T06:38:42.2869450Z     >>> module = nn.Linear(1, 1, bias=False).cuda()
2025-09-07T06:38:42.2869540Z     >>> model = nn.parallel.DistributedDataParallel(
2025-09-07T06:38:42.2869630Z     >>>    module, device_ids=[rank], output_device=rank
2025-09-07T06:38:42.2869690Z     >>> )
2025-09-07T06:38:42.2869780Z     >>> # Register a post-localSGD communication hook.
2025-09-07T06:38:42.2869960Z     >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-09-07T06:38:42.2870060Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-09-07T06:38:42.2870100Z     >>>
2025-09-07T06:38:42.2870350Z     >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-09-07T06:38:42.2870450Z     >>> # After 100 steps, run model averaging every 4 steps.
2025-09-07T06:38:42.2870650Z     >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-09-07T06:38:42.2870800Z     >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-09-07T06:38:42.2870860Z     >>> for step in range(0, 200):
2025-09-07T06:38:42.2870920Z     >>>    optimizer.zero_grad()
2025-09-07T06:38:42.2870980Z     >>>    loss = loss_fn(output, labels)
2025-09-07T06:38:42.2871040Z     >>>    loss.backward()
2025-09-07T06:38:42.2871090Z     >>>    optimizer.step()
2025-09-07T06:38:42.2871220Z     >>>    # Will average model parameters globally every 4 steps. Thus,
2025-09-07T06:38:42.2871340Z     >>>    # inter-node communication only occurs every 4 iterations after
2025-09-07T06:38:42.2871410Z     >>>    # the initial ``warmup_steps`` period.
2025-09-07T06:38:42.2871510Z     >>>    averager.average_parameters(model.parameters())
2025-09-07T06:38:42.2871510Z 
2025-09-07T06:38:42.2871660Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.2871670Z 
2025-09-07T06:38:42.2872270Z msg = Cannot scrape callname=HierarchicalModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19.
2025-09-07T06:38:42.2872430Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.2872440Z 
2025-09-07T06:38:42.2872640Z Runs hierarchical model averaging (`hierarchical SGD <https://arxiv.org/pdf/2010.12998.pdf>`_).
2025-09-07T06:38:42.2872640Z 
2025-09-07T06:38:42.2872820Z Process groups of different sizes are organized in a hierarchy, and they average parameters
2025-09-07T06:38:42.2872950Z by using different periods concurrently after the warm-up stage.
2025-09-07T06:38:42.2873190Z This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`
2025-09-07T06:38:42.2873390Z that supports `post-local SGD <https://arxiv.org/abs/1808.07217>`_, which essentially only supports
2025-09-07T06:38:42.2873630Z a two-level hierarchy: the intra-machine level and the global level, where the intra-machine
2025-09-07T06:38:42.2873850Z level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`.
2025-09-07T06:38:42.2874030Z Similarly, the process groups within this class do not have such an intra-machine process
2025-09-07T06:38:42.2874190Z subgroup, which should be embedded by the post-local SGD communication hook instead.
2025-09-07T06:38:42.2874190Z 
2025-09-07T06:38:42.2874240Z Args:
2025-09-07T06:38:42.2874400Z     period_group_size_dict: An ordered dict mapping keys of model averaging period to
2025-09-07T06:38:42.2874520Z                             process group size, used for initializing process groups of
2025-09-07T06:38:42.2874660Z                             different sizes in a hierarchy to average parameters concurrently.
2025-09-07T06:38:42.2874800Z                             Particularly, at each iteration, there will be at most a single
2025-09-07T06:38:42.2874940Z                             process group that runs averaging -- the period of such group should
2025-09-07T06:38:42.2875070Z                             have the largest period which the current step can be divided by.
2025-09-07T06:38:42.2875180Z                             For example, if the dict has three keys: 2, 4, and 8,
2025-09-07T06:38:42.2875340Z                             then this means totally three process groups will be created to
2025-09-07T06:38:42.2875480Z                             average parameters every 2, 4, and 8 iterations, respectively.
2025-09-07T06:38:42.2875590Z                             At the 4th iteration, only the second process group will run
2025-09-07T06:38:42.2875720Z                             averaging, because the first process group should be a
2025-09-07T06:38:42.2875860Z                             subset of the second process group, and no need to execute the first
2025-09-07T06:38:42.2875940Z                             process group redundantly.
2025-09-07T06:38:42.2876060Z                             On the other hand, the third process group can only be triggered
2025-09-07T06:38:42.2876200Z                             every 8 iterations, so it will not be triggered at the 4th iteration.
2025-09-07T06:38:42.2876390Z     warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped.
2025-09-07T06:38:42.2876660Z     process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging.
2025-09-07T06:38:42.2876770Z                                             If ``None``, the default process group, which is created
2025-09-07T06:38:42.2876900Z                                             by :func:`torch.distributed.init_process_group`, will be used.
2025-09-07T06:38:42.2876980Z                                             (default: ``None``)
2025-09-07T06:38:42.2876980Z 
2025-09-07T06:38:42.2877040Z Example::
2025-09-07T06:38:42.2877110Z     >>> # xdoctest: +SKIP('undefined rank')
2025-09-07T06:38:42.2877170Z     >>> from collections import OrderedDict
2025-09-07T06:38:42.2877220Z     >>> import torch
2025-09-07T06:38:42.2877290Z     >>> import torch.distributed as dist
2025-09-07T06:38:42.2877480Z     >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-09-07T06:38:42.2877540Z     >>>     PostLocalSGDState,
2025-09-07T06:38:42.2877600Z     >>>     post_localSGD_hook,
2025-09-07T06:38:42.2877640Z     >>> )
2025-09-07T06:38:42.2877890Z     >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD
2025-09-07T06:38:42.2877950Z     >>> import torch.nn as nn
2025-09-07T06:38:42.2877990Z     >>>
2025-09-07T06:38:42.2878100Z     >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-09-07T06:38:42.2878160Z     >>> torch.cuda.set_device(rank)
2025-09-07T06:38:42.2878240Z     >>> module = nn.Linear(1, 1, bias=False).to(rank)
2025-09-07T06:38:42.2878400Z     >>> model = nn.parallel.DistributedDataParallel(
2025-09-07T06:38:42.2878490Z     >>>    module, device_ids=[rank], output_device=rank
2025-09-07T06:38:42.2878530Z     >>> )
2025-09-07T06:38:42.2878620Z     >>> # Register a post-localSGD communication hook.
2025-09-07T06:38:42.2878790Z     >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4.
2025-09-07T06:38:42.2878860Z     >>> subgroup, _ = dist.new_subgroups()
2025-09-07T06:38:42.2879040Z     >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100)
2025-09-07T06:38:42.2879140Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-09-07T06:38:42.2879180Z     >>>
2025-09-07T06:38:42.2879350Z     >>> # Average parameters among each group of 8 processes every 4 iterations, and among all
2025-09-07T06:38:42.2879430Z     >>> # the 16 processes every 16 iterations.
2025-09-07T06:38:42.2879540Z     >>> averager = hierarchicalSGD.HierarchicalModelAverager(
2025-09-07T06:38:42.2879680Z     >>>     period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100)
2025-09-07T06:38:42.2879880Z     >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-09-07T06:38:42.2880040Z     >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-09-07T06:38:42.2880160Z     >>> # After 100 steps, run model averaging at two levels.
2025-09-07T06:38:42.2880220Z     >>> for step in range(0, 200):
2025-09-07T06:38:42.2880280Z     >>>    optimizer.zero_grad()
2025-09-07T06:38:42.2880350Z     >>>    loss = loss_fn(output, labels)
2025-09-07T06:38:42.2880400Z     >>>    loss.backward()
2025-09-07T06:38:42.2880480Z     >>>    optimizer.step()
2025-09-07T06:38:42.2880570Z     >>>    # Average parameters after ``optimizer.step()``.
2025-09-07T06:38:42.2880750Z     >>>    # Thus, the inter-node communication only occurs periodically after ``warmup_steps``.
2025-09-07T06:38:42.2880850Z     >>>    averager.average_parameters(model.parameters())
2025-09-07T06:38:42.2880850Z 
2025-09-07T06:38:42.2880890Z .. warning ::
2025-09-07T06:38:42.2881040Z     The last group size in the dict must be the size of the provided ``process_group``,
2025-09-07T06:38:42.2881180Z     which indicates model averaging at the highest level of the hierarchy.
2025-09-07T06:38:42.2881370Z     If ``process_group`` is not provided, then the last group size should be equal to the world size.
2025-09-07T06:38:42.2881380Z 
2025-09-07T06:38:42.2881420Z .. warning ::
2025-09-07T06:38:42.2881560Z     `HierarchicalModelAverager` is experimental and subject to change.
2025-09-07T06:38:42.2881560Z 
2025-09-07T06:38:42.2881720Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.3354260Z 
2025-09-07T06:38:42.3354990Z msg = Cannot scrape callname=post_localSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72.
2025-09-07T06:38:42.3355190Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.3355190Z 
2025-09-07T06:38:42.3355270Z Run post-localSGD algorithm.
2025-09-07T06:38:42.3355270Z 
2025-09-07T06:38:42.3355590Z This DDP communication hook is used for running post-localSGD algorithm,
2025-09-07T06:38:42.3355710Z by combining with a model averaging component (e.g.,
2025-09-07T06:38:42.3355920Z :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`)
2025-09-07T06:38:42.3355990Z that runs after the optimizer step.
2025-09-07T06:38:42.3355990Z 
2025-09-07T06:38:42.3356030Z Args:
2025-09-07T06:38:42.3356180Z     state (PostLocalSGDState): State information to run post-localSGD.
2025-09-07T06:38:42.3356360Z         Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD.
2025-09-07T06:38:42.3356630Z     bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-09-07T06:38:42.3356900Z         Note that since DDP comm hook only supports single process single device mode,
2025-09-07T06:38:42.3357000Z         only exactly one tensor is stored in this bucket.
2025-09-07T06:38:42.3357000Z 
2025-09-07T06:38:42.3357050Z Returns:
2025-09-07T06:38:42.3357210Z     Future handler of the communication, which updates the gradients in place.
2025-09-07T06:38:42.3357210Z 
2025-09-07T06:38:42.3357290Z Example::
2025-09-07T06:38:42.3357350Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:42.3357510Z     >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup,
2025-09-07T06:38:42.3357590Z                               start_localSGD_iter=10)
2025-09-07T06:38:42.3357700Z     >>> ddp_model.register_comm_hook(state, post_localSGD_hook)
2025-09-07T06:38:42.3357910Z     >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``.
2025-09-07T06:38:42.3358140Z     >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module.
2025-09-07T06:38:42.3358140Z 
2025-09-07T06:38:42.3358300Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.3358300Z 
2025-09-07T06:38:42.3358810Z msg = Cannot scrape callname=powerSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342.
2025-09-07T06:38:42.3359030Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.3359030Z 
2025-09-07T06:38:42.3359090Z Implement PowerSGD algorithm.
2025-09-07T06:38:42.3359100Z 
2025-09-07T06:38:42.3359250Z This DDP communication hook implements PowerSGD gradient compression
2025-09-07T06:38:42.3359410Z algorithm described in the `paper <https://arxiv.org/abs/1905.13727>`_.
2025-09-07T06:38:42.3359550Z Once gradient tensors are aggregated across all workers, this hook applies
2025-09-07T06:38:42.3359610Z compression as follows:
2025-09-07T06:38:42.3359610Z 
2025-09-07T06:38:42.3359870Z 1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups:
2025-09-07T06:38:42.3359880Z 
2025-09-07T06:38:42.3360130Z     1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth.
2025-09-07T06:38:42.3360130Z 
2025-09-07T06:38:42.3360370Z     1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases).
2025-09-07T06:38:42.3360370Z 
2025-09-07T06:38:42.3360430Z 2. Handles uncompressed tensors:
2025-09-07T06:38:42.3360440Z 
2025-09-07T06:38:42.3360730Z     2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression;
2025-09-07T06:38:42.3360740Z 
2025-09-07T06:38:42.3360940Z     2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor.
2025-09-07T06:38:42.3360940Z 
2025-09-07T06:38:42.3361080Z 3. Handles the tensors that should be compressed by PowerSGD compression:
2025-09-07T06:38:42.3361090Z 
2025-09-07T06:38:42.3361300Z     3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M,
2025-09-07T06:38:42.3361500Z     such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized;
2025-09-07T06:38:42.3361500Z 
2025-09-07T06:38:42.3361590Z     3.2. Computes each P in Ps, which is equal to MQ;
2025-09-07T06:38:42.3361590Z 
2025-09-07T06:38:42.3361650Z     3.3. Allreduces Ps as a batch;
2025-09-07T06:38:42.3361660Z 
2025-09-07T06:38:42.3361720Z     3.4. Orthogonalizes each P in Ps;
2025-09-07T06:38:42.3361730Z 
2025-09-07T06:38:42.3361850Z     3.5. Computes each Q in Qs, which is approximately equal to M^TP;
2025-09-07T06:38:42.3361850Z 
2025-09-07T06:38:42.3361910Z     3.6. Allreduces Qs as a batch;
2025-09-07T06:38:42.3361910Z 
2025-09-07T06:38:42.3362170Z     3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T.
2025-09-07T06:38:42.3362170Z 
2025-09-07T06:38:42.3362420Z Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations.
2025-09-07T06:38:42.3362590Z This not only gives the user more control over the tradeoff between speedup and accuracy,
2025-09-07T06:38:42.3362840Z but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers.
2025-09-07T06:38:42.3362850Z 
2025-09-07T06:38:42.3362890Z Args:
2025-09-07T06:38:42.3363140Z     state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc.
2025-09-07T06:38:42.3363360Z         To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter``
2025-09-07T06:38:42.3363420Z         and ``min_compression_rate``.
2025-09-07T06:38:42.3363670Z     bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-09-07T06:38:42.3363820Z         Note that since DDP comm hook only supports single process single device mode,
2025-09-07T06:38:42.3363920Z         only exactly one tensor is stored in this bucket.
2025-09-07T06:38:42.3363940Z 
2025-09-07T06:38:42.3363980Z Returns:
2025-09-07T06:38:42.3364130Z     Future handler of the communication, which updates the gradients in place.
2025-09-07T06:38:42.3364140Z 
2025-09-07T06:38:42.3364180Z Example::
2025-09-07T06:38:42.3364230Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:42.3364400Z     >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1,
2025-09-07T06:38:42.3364530Z                               start_powerSGD_iter=10, min_compression_rate=0.5)
2025-09-07T06:38:42.3364640Z     >>> ddp_model.register_comm_hook(state, powerSGD_hook)
2025-09-07T06:38:42.3364640Z 
2025-09-07T06:38:42.3364790Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.3364800Z 
2025-09-07T06:38:42.3365280Z msg = Cannot scrape callname=PostLocalSGDOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9.
2025-09-07T06:38:42.3365430Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.3365440Z 
2025-09-07T06:38:42.3365840Z Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-09-07T06:38:42.3365930Z This optimizer runs local optimizer at every step.
2025-09-07T06:38:42.3366130Z After the warm-up stage, it averages parameters periodically after the local optimizer is applied.
2025-09-07T06:38:42.3366140Z 
2025-09-07T06:38:42.3366180Z Args:
2025-09-07T06:38:42.3366240Z     optim: The local optimizer.
2025-09-07T06:38:42.3366370Z     averager: A model averager instance to run post-localSGD algorithm.
2025-09-07T06:38:42.3366370Z 
2025-09-07T06:38:42.3366420Z Example::
2025-09-07T06:38:42.3366420Z 
2025-09-07T06:38:42.3366500Z     >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:42.3366550Z     >>> import torch
2025-09-07T06:38:42.3366650Z     >>> import torch.distributed as dist
2025-09-07T06:38:42.3366820Z     >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-09-07T06:38:42.3366880Z     >>> import torch.nn as nn
2025-09-07T06:38:42.3367000Z     >>> from torch.distributed.optim import PostLocalSGDOptimizer
2025-09-07T06:38:42.3367160Z     >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-09-07T06:38:42.3367220Z     >>>   PostLocalSGDState,
2025-09-07T06:38:42.3367280Z     >>>   post_localSGD_hook,
2025-09-07T06:38:42.3367320Z     >>> )
2025-09-07T06:38:42.3367360Z     >>>
2025-09-07T06:38:42.3367450Z     >>> model = nn.parallel.DistributedDataParallel(
2025-09-07T06:38:42.3367540Z     >>>    module, device_ids=[rank], output_device=rank
2025-09-07T06:38:42.3367640Z     >>> )
2025-09-07T06:38:42.3367690Z     >>>
2025-09-07T06:38:42.3367770Z     >>> # Register a post-localSGD communication hook.
2025-09-07T06:38:42.3367960Z     >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-09-07T06:38:42.3368050Z     >>> model.register_comm_hook(state, post_localSGD_hook)
2025-09-07T06:38:42.3368200Z     >>>
2025-09-07T06:38:42.3368330Z     >>> # Create a post-localSGD optimizer that wraps a local optimizer.
2025-09-07T06:38:42.3368480Z     >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as
2025-09-07T06:38:42.3368580Z     >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-09-07T06:38:42.3368710Z     >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01)
2025-09-07T06:38:42.3368780Z     >>> opt = PostLocalSGDOptimizer(
2025-09-07T06:38:42.3368840Z     >>>     optim=local_optim,
2025-09-07T06:38:42.3368990Z     >>>     averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-09-07T06:38:42.3369030Z     >>> )
2025-09-07T06:38:42.3369070Z     >>>
2025-09-07T06:38:42.3369210Z     >>> # In the first 100 steps, DDP runs global gradient averaging at every step.
2025-09-07T06:38:42.3369400Z     >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default),
2025-09-07T06:38:42.3369660Z     >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer.
2025-09-07T06:38:42.3369720Z     >>> for step in range(0, 200):
2025-09-07T06:38:42.3369770Z     >>>    opt.zero_grad()
2025-09-07T06:38:42.3369840Z     >>>    loss = loss_fn(output, labels)
2025-09-07T06:38:42.3369940Z     >>>    loss.backward()
2025-09-07T06:38:42.3370000Z     >>>    opt.step()
2025-09-07T06:38:42.3370000Z 
2025-09-07T06:38:42.3370150Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.3370150Z 
2025-09-07T06:38:42.3370590Z msg = Cannot scrape callname=DistributedOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=129.
2025-09-07T06:38:42.3370890Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.3370890Z 
2025-09-07T06:38:42.3371040Z DistributedOptimizer takes remote references to parameters scattered
2025-09-07T06:38:42.3371180Z across workers and applies the given optimizer locally for each parameter.
2025-09-07T06:38:42.3371180Z 
2025-09-07T06:38:42.3371330Z This class uses :meth:`~torch.distributed.autograd.get_gradients` in order
2025-09-07T06:38:42.3371420Z to retrieve the gradients for specific parameters.
2025-09-07T06:38:42.3371430Z 
2025-09-07T06:38:42.3371480Z Concurrent calls to
2025-09-07T06:38:42.3371670Z :meth:`~torch.distributed.optim.DistributedOptimizer.step`,
2025-09-07T06:38:42.3371760Z either from the same or different clients, will
2025-09-07T06:38:42.3371890Z be serialized on each worker -- as each worker's optimizer can only work
2025-09-07T06:38:42.3372020Z on one set of gradients at a time. However, there is no guarantee that
2025-09-07T06:38:42.3372170Z the full forward-backward-optimizer sequence will execute for one client
2025-09-07T06:38:42.3372360Z at a time. This means that the gradients being applied may not correspond
2025-09-07T06:38:42.3372500Z to the latest forward pass executed on a given worker. Also, there is no
2025-09-07T06:38:42.3372570Z guaranteed ordering across workers.
2025-09-07T06:38:42.3372570Z 
2025-09-07T06:38:42.3372730Z `DistributedOptimizer` creates the local optimizer with TorchScript enabled
2025-09-07T06:38:42.3372870Z by default, so that optimizer updates are not blocked by the Python Global
2025-09-07T06:38:42.3373020Z Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed
2025-09-07T06:38:42.3373170Z Model Parallel). This feature is currently enabled for most optimizers. You
2025-09-07T06:38:42.3373380Z can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support
2025-09-07T06:38:42.3373440Z for your own custom optimizers.
2025-09-07T06:38:42.3373450Z 
2025-09-07T06:38:42.3373490Z Args:
2025-09-07T06:38:42.3373610Z     optimizer_class (optim.Optimizer): the class of optimizer to
2025-09-07T06:38:42.3373670Z         instantiate on each worker.
2025-09-07T06:38:42.3373800Z     params_rref (list[RRef]): list of RRefs to local or remote parameters
2025-09-07T06:38:42.3373850Z         to optimize.
2025-09-07T06:38:42.3373980Z     args: arguments to pass to the optimizer constructor on each worker.
2025-09-07T06:38:42.3374120Z     kwargs: arguments to pass to the optimizer constructor on each worker.
2025-09-07T06:38:42.3374120Z 
2025-09-07T06:38:42.3374170Z Example::
2025-09-07T06:38:42.3374230Z     >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:42.3374330Z     >>> import torch.distributed.autograd as dist_autograd
2025-09-07T06:38:42.3374460Z     >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:42.3374520Z     >>> from torch import optim
2025-09-07T06:38:42.3374630Z     >>> from torch.distributed.optim import DistributedOptimizer
2025-09-07T06:38:42.3374670Z     >>>
2025-09-07T06:38:42.3374750Z     >>> with dist_autograd.context() as context_id:
2025-09-07T06:38:42.3374810Z     >>>   # Forward pass.
2025-09-07T06:38:42.3374960Z     >>>   rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3))
2025-09-07T06:38:42.3375080Z     >>>   rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1))
2025-09-07T06:38:42.3375150Z     >>>   loss = rref1.to_here() + rref2.to_here()
2025-09-07T06:38:42.3375200Z     >>>
2025-09-07T06:38:42.3375250Z     >>>   # Backward pass.
2025-09-07T06:38:42.3375360Z     >>>   dist_autograd.backward(context_id, [loss.sum()])
2025-09-07T06:38:42.3375400Z     >>>
2025-09-07T06:38:42.3375450Z     >>>   # Optimizer.
2025-09-07T06:38:42.3375530Z     >>>   dist_optim = DistributedOptimizer(
2025-09-07T06:38:42.3375580Z     >>>      optim.SGD,
2025-09-07T06:38:42.3375630Z     >>>      [rref1, rref2],
2025-09-07T06:38:42.3375680Z     >>>      lr=0.05,
2025-09-07T06:38:42.3375720Z     >>>   )
2025-09-07T06:38:42.3375780Z     >>>   dist_optim.step(context_id)
2025-09-07T06:38:42.3375780Z 
2025-09-07T06:38:42.3375880Z __ https://github.com/pytorch/tutorials/pull/1465
2025-09-07T06:38:42.3375880Z 
2025-09-07T06:38:42.3376030Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.3536460Z 
2025-09-07T06:38:42.3537170Z msg = Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284.
2025-09-07T06:38:42.3537930Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.3538180Z 
2025-09-07T06:38:42.3538430Z Wrap an arbitrary :class:`optim.Optimizer <torch.optim.Optimizer>` and shards its states across ranks in the group.
2025-09-07T06:38:42.3538750Z 
2025-09-07T06:38:42.3538910Z The sharing is done as described by `ZeRO <https://arxiv.org/abs/1910.02054>`_.
2025-09-07T06:38:42.3539140Z 
2025-09-07T06:38:42.3539230Z The local optimizer instance in each rank is only
2025-09-07T06:38:42.3539630Z responsible for updating approximately ``1 / world_size`` parameters and
2025-09-07T06:38:42.3540010Z hence only needs to keep ``1 / world_size`` optimizer states. After
2025-09-07T06:38:42.3540360Z parameters are updated locally, each rank will broadcast its parameters to
2025-09-07T06:38:42.3540690Z all other peers to keep all model replicas in the same state.
2025-09-07T06:38:42.3541000Z ``ZeroRedundancyOptimizer`` can be used in conjunction with
2025-09-07T06:38:42.3541350Z :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak
2025-09-07T06:38:42.3541630Z memory consumption.
2025-09-07T06:38:42.3541730Z 
2025-09-07T06:38:42.3541890Z ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number
2025-09-07T06:38:42.3542390Z of parameters at each rank. Each parameter belongs to a single rank and is
2025-09-07T06:38:42.3542750Z not divided among ranks. The partition is arbitrary and might not match the
2025-09-07T06:38:42.3543050Z the parameter registration or usage order.
2025-09-07T06:38:42.3543200Z 
2025-09-07T06:38:42.3543250Z Arguments:
2025-09-07T06:38:42.3543450Z     params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s
2025-09-07T06:38:42.3543760Z         or :class:`dict` s giving all parameters, which will be sharded
2025-09-07T06:38:42.3543990Z         across ranks.
2025-09-07T06:38:42.3544100Z 
2025-09-07T06:38:42.3544150Z Keyword Args:
2025-09-07T06:38:42.3544360Z     optimizer_class (:class:`torch.nn.Optimizer`): the class of the local
2025-09-07T06:38:42.3544610Z         optimizer.
2025-09-07T06:38:42.3544820Z     process_group (``ProcessGroup``, optional): ``torch.distributed``
2025-09-07T06:38:42.3545140Z         ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by
2025-09-07T06:38:42.3545450Z         :meth:`torch.distributed.init_process_group`).
2025-09-07T06:38:42.3545740Z     parameters_as_bucket_view (bool, optional): if ``True``, parameters are
2025-09-07T06:38:42.3546080Z         packed into buckets to speed up communication, and ``param.data``
2025-09-07T06:38:42.3546400Z         fields point to bucket views at different offsets; if ``False``,
2025-09-07T06:38:42.3546790Z         each individual parameter is communicated separately, and each
2025-09-07T06:38:42.3547070Z         ``params.data`` stays intact (default: ``False``).
2025-09-07T06:38:42.3547350Z     overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is
2025-09-07T06:38:42.3547660Z         overlapped with :class:`DistributedDataParallel` 's gradient
2025-09-07T06:38:42.3548000Z         synchronization; this requires (1) either a functional optimizer
2025-09-07T06:38:42.3553210Z         for the ``optimizer_class`` argument or one with a functional
2025-09-07T06:38:42.3553500Z         equivalent and (2) registering a DDP communication hook
2025-09-07T06:38:42.3553800Z         constructed from one of the functions in ``ddp_zero_hook.py``;
2025-09-07T06:38:42.3554090Z         parameters are packed into buckets matching those in
2025-09-07T06:38:42.3554360Z         :class:`DistributedDataParallel`, meaning that the
2025-09-07T06:38:42.3554610Z         ``parameters_as_bucket_view`` argument is ignored.
2025-09-07T06:38:42.3554880Z         If ``False``, :meth:`step` runs disjointly after the backward pass
2025-09-07T06:38:42.3555110Z         (per normal).
2025-09-07T06:38:42.3555260Z         (default: ``False``)
2025-09-07T06:38:42.3555490Z     **defaults: any trailing arguments, which are forwarded to the local
2025-09-07T06:38:42.3555730Z         optimizer.
2025-09-07T06:38:42.3555820Z 
2025-09-07T06:38:42.3555870Z Example::
2025-09-07T06:38:42.3555940Z 
2025-09-07T06:38:42.3556000Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:42.3556150Z     >>> import torch.nn as nn
2025-09-07T06:38:42.3556390Z     >>> from torch.distributed.optim import ZeroRedundancyOptimizer
2025-09-07T06:38:42.3556730Z     >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-09-07T06:38:42.3557050Z     >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)])
2025-09-07T06:38:42.3557440Z     >>> ddp = DDP(model, device_ids=[rank])
2025-09-07T06:38:42.3557650Z     >>> opt = ZeroRedundancyOptimizer(
2025-09-07T06:38:42.3557840Z     >>>     ddp.parameters(),
2025-09-07T06:38:42.3558030Z     >>>     optimizer_class=torch.optim.Adam,
2025-09-07T06:38:42.3558210Z     >>>     lr=0.01
2025-09-07T06:38:42.3558330Z     >>> )
2025-09-07T06:38:42.3558460Z     >>> ddp(inputs).sum().backward()
2025-09-07T06:38:42.3558630Z     >>> opt.step()
2025-09-07T06:38:42.3558720Z 
2025-09-07T06:38:42.3558760Z .. warning::
2025-09-07T06:38:42.3558960Z     Currently, ``ZeroRedundancyOptimizer`` requires that all of the
2025-09-07T06:38:42.3559240Z     passed-in parameters are the same dense type.
2025-09-07T06:38:42.3559390Z 
2025-09-07T06:38:42.3559530Z .. warning::
2025-09-07T06:38:42.3559740Z     If you pass ``overlap_with_ddp=True``, be wary of the following: Given
2025-09-07T06:38:42.3560060Z     the way that overlapping :class:`DistributedDataParallel` with
2025-09-07T06:38:42.3560380Z     :class:`ZeroRedundancyOptimizer` is currently implemented, the first
2025-09-07T06:38:42.3560720Z     two or three training iterations do not perform parameter updates in
2025-09-07T06:38:42.3561030Z     the optimizer step, depending on if ``static_graph=False`` or
2025-09-07T06:38:42.3561330Z     ``static_graph=True``, respectively. This is because it needs
2025-09-07T06:38:42.3561620Z     information about the gradient bucketing strategy used by
2025-09-07T06:38:42.3561940Z     :class:`DistributedDataParallel`, which is not finalized until the
2025-09-07T06:38:42.3562260Z     second forward pass if ``static_graph=False`` or until the third
2025-09-07T06:38:42.3562580Z     forward pass if ``static_graph=True``. To adjust for this, one option
2025-09-07T06:38:42.3562830Z     is to prepend dummy inputs.
2025-09-07T06:38:42.3562950Z 
2025-09-07T06:38:42.3563100Z .. warning:: ZeroRedundancyOptimizer is experimental and subject to change.
2025-09-07T06:38:42.3563320Z 
2025-09-07T06:38:42.3563480Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.3563690Z 
2025-09-07T06:38:42.3564260Z msg = Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=634.
2025-09-07T06:38:42.3565080Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.3565510Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-09-07T06:38:42.3565740Z 
2025-09-07T06:38:42.3565900Z         Also takes (optional) configuration for the model's and optimizer's state dict.
2025-09-07T06:38:42.3566260Z         The target module does not have to be a FSDP module. If the target
2025-09-07T06:38:42.3566580Z         module is a FSDP module, its ``state_dict_type`` will also be changed.
2025-09-07T06:38:42.3566780Z 
2025-09-07T06:38:42.3566900Z         .. note:: This API should be called for only the top-level (root)
2025-09-07T06:38:42.3567130Z             module.
2025-09-07T06:38:42.3567210Z 
2025-09-07T06:38:42.3567340Z         .. note:: This API enables users to transparently use the conventional
2025-09-07T06:38:42.3567650Z             ``state_dict`` API to take model checkpoints in cases where the
2025-09-07T06:38:42.3567970Z             root FSDP module is wrapped by another ``nn.Module``. For example,
2025-09-07T06:38:42.3568290Z             the following will ensure ``state_dict`` is called on all non-FSDP
2025-09-07T06:38:42.3568620Z             instances, while dispatching into `sharded_state_dict` implementation
2025-09-07T06:38:42.3568880Z             for FSDP:
2025-09-07T06:38:42.3568970Z 
2025-09-07T06:38:42.3569020Z         Example::
2025-09-07T06:38:42.3569100Z 
2025-09-07T06:38:42.3569180Z             >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:42.3569390Z             >>> model = DDP(FSDP(...))
2025-09-07T06:38:42.3569620Z             >>> FSDP.set_state_dict_type(
2025-09-07T06:38:42.3569800Z             >>>     model,
2025-09-07T06:38:42.3569980Z             >>>     StateDictType.SHARDED_STATE_DICT,
2025-09-07T06:38:42.3570260Z             >>>     state_dict_config = ShardedStateDictConfig(offload_to_cpu=True),
2025-09-07T06:38:42.3570600Z             >>>     optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True),
2025-09-07T06:38:42.3570850Z             >>> )
2025-09-07T06:38:42.3571010Z             >>> param_state_dict = model.state_dict()
2025-09-07T06:38:42.3571260Z             >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-09-07T06:38:42.3571430Z 
2025-09-07T06:38:42.3571470Z         Args:
2025-09-07T06:38:42.3571630Z             module (torch.nn.Module): Root module.
2025-09-07T06:38:42.3571980Z             state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-09-07T06:38:42.3572330Z             state_dict_config (Optional[StateDictConfig]): the configuration for the
2025-09-07T06:38:42.3572610Z                 target ``state_dict_type``.
2025-09-07T06:38:42.3572890Z             optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration
2025-09-07T06:38:42.3573190Z                 for the optimizer state dict.
2025-09-07T06:38:42.3573330Z 
2025-09-07T06:38:42.3573370Z         Returns:
2025-09-07T06:38:42.3573580Z             A StateDictSettings that include the previous state_dict type and
2025-09-07T06:38:42.3573850Z             configuration for the module.
2025-09-07T06:38:42.3574020Z         
2025-09-07T06:38:42.3574240Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.3574460Z 
2025-09-07T06:38:42.3574980Z msg = Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=792.
2025-09-07T06:38:42.3575730Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.3576100Z Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-09-07T06:38:42.3576390Z 
2025-09-07T06:38:42.3576580Z         This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of
2025-09-07T06:38:42.3576920Z         :meth:`set_state_dict_type` for the detail.
2025-09-07T06:38:42.3577060Z 
2025-09-07T06:38:42.3577110Z         Example::
2025-09-07T06:38:42.3577200Z 
2025-09-07T06:38:42.3577310Z             >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:42.3577530Z             >>> model = DDP(FSDP(...))
2025-09-07T06:38:42.3577720Z             >>> with FSDP.state_dict_type(
2025-09-07T06:38:42.3577890Z             >>>     model,
2025-09-07T06:38:42.3578070Z             >>>     StateDictType.SHARDED_STATE_DICT,
2025-09-07T06:38:42.3578260Z             >>> ):
2025-09-07T06:38:42.3578410Z             >>>     checkpoint = model.state_dict()
2025-09-07T06:38:42.3578550Z 
2025-09-07T06:38:42.3578600Z         Args:
2025-09-07T06:38:42.3578750Z             module (torch.nn.Module): Root module.
2025-09-07T06:38:42.3579030Z             state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-09-07T06:38:42.3579390Z             state_dict_config (Optional[StateDictConfig]): the model ``state_dict``
2025-09-07T06:38:42.3579700Z                 configuration for the target ``state_dict_type``.
2025-09-07T06:38:42.3580010Z             optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer
2025-09-07T06:38:42.3580340Z                ``state_dict`` configuration for the target ``state_dict_type``.
2025-09-07T06:38:42.3580570Z         
2025-09-07T06:38:42.3580790Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.4139740Z 
2025-09-07T06:38:42.4140730Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1805.
2025-09-07T06:38:42.4141620Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.4141860Z 
2025-09-07T06:38:42.4142020Z Transform the state-dict of an optimizer corresponding to a sharded model.
2025-09-07T06:38:42.4142240Z 
2025-09-07T06:38:42.4142370Z The given state-dict can be transformed to one of three types:
2025-09-07T06:38:42.4142760Z 1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict.
2025-09-07T06:38:42.4143010Z 
2025-09-07T06:38:42.4143160Z For full optimizer state_dict, all states are unflattened and not sharded.
2025-09-07T06:38:42.4143510Z Rank0 only and CPU only can be specified via :meth:`state_dict_type` to
2025-09-07T06:38:42.4143900Z avoid OOM.
2025-09-07T06:38:42.4143980Z 
2025-09-07T06:38:42.4144130Z For sharded optimizer state_dict, all states are unflattened but sharded.
2025-09-07T06:38:42.4144480Z CPU only can be specified via :meth:`state_dict_type` to further save
2025-09-07T06:38:42.4144730Z memory.
2025-09-07T06:38:42.4144800Z 
2025-09-07T06:38:42.4144940Z For local state_dict, no transformation will be performed. But a state
2025-09-07T06:38:42.4145290Z will be converted from nn.Tensor to ShardedTensor to represent its sharding
2025-09-07T06:38:42.4145570Z nature (this is not supported yet).
2025-09-07T06:38:42.4145710Z 
2025-09-07T06:38:42.4145760Z Example::
2025-09-07T06:38:42.4145840Z 
2025-09-07T06:38:42.4145920Z     >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:42.4146220Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-09-07T06:38:42.4146530Z     >>> from torch.distributed.fsdp import StateDictType
2025-09-07T06:38:42.4146810Z     >>> from torch.distributed.fsdp import FullStateDictConfig
2025-09-07T06:38:42.4147120Z     >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-09-07T06:38:42.4147380Z     >>> # Save a checkpoint
2025-09-07T06:38:42.4147550Z     >>> model, optim = ...
2025-09-07T06:38:42.4147720Z     >>> FSDP.set_state_dict_type(
2025-09-07T06:38:42.4147940Z     >>>     model,
2025-09-07T06:38:42.4148090Z     >>>     StateDictType.FULL_STATE_DICT,
2025-09-07T06:38:42.4148310Z     >>>     FullStateDictConfig(rank0_only=False),
2025-09-07T06:38:42.4148560Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-09-07T06:38:42.4148760Z     >>> )
2025-09-07T06:38:42.4148900Z     >>> state_dict = model.state_dict()
2025-09-07T06:38:42.4149180Z     >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-09-07T06:38:42.4149450Z     >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-09-07T06:38:42.4149670Z     >>> # Load a checkpoint
2025-09-07T06:38:42.4149830Z     >>> model, optim = ...
2025-09-07T06:38:42.4150020Z     >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-09-07T06:38:42.4150250Z     >>> FSDP.set_state_dict_type(
2025-09-07T06:38:42.4150410Z     >>>     model,
2025-09-07T06:38:42.4150560Z     >>>     StateDictType.FULL_STATE_DICT,
2025-09-07T06:38:42.4150780Z     >>>     FullStateDictConfig(rank0_only=False),
2025-09-07T06:38:42.4151020Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-09-07T06:38:42.4151220Z     >>> )
2025-09-07T06:38:42.4151340Z     >>> model.load_state_dict(state_dict)
2025-09-07T06:38:42.4151560Z     >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-09-07T06:38:42.4151780Z     >>>     model, optim, optim_state_dict
2025-09-07T06:38:42.4151960Z     >>> )
2025-09-07T06:38:42.4152090Z     >>> optim.load_state_dict(optim_state_dict)
2025-09-07T06:38:42.4152230Z 
2025-09-07T06:38:42.4152280Z Args:
2025-09-07T06:38:42.4152460Z     model (torch.nn.Module): Root module (which may or may not be a
2025-09-07T06:38:42.4152780Z         :class:`FullyShardedDataParallel` instance) whose parameters
2025-09-07T06:38:42.4153050Z         were passed into the optimizer ``optim``.
2025-09-07T06:38:42.4153310Z     optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-09-07T06:38:42.4153550Z         parameters.
2025-09-07T06:38:42.4153820Z     optim_state_dict (Dict[str, Any]): the target optimizer state_dict to
2025-09-07T06:38:42.4154160Z         transform. If the value is None, optim.state_dict() will be used. (
2025-09-07T06:38:42.4154410Z         Default: ``None``)
2025-09-07T06:38:42.4154660Z     group (dist.ProcessGroup): Model's process group across which parameters
2025-09-07T06:38:42.4154980Z         are sharded or ``None`` if using the default process group. (
2025-09-07T06:38:42.4155210Z         Default: ``None``)
2025-09-07T06:38:42.4155310Z 
2025-09-07T06:38:42.4155360Z Returns:
2025-09-07T06:38:42.4155540Z     Dict[str, Any]: A :class:`dict` containing the optimizer state for
2025-09-07T06:38:42.4155820Z     ``model``. The sharding of the optimizer state is based on
2025-09-07T06:38:42.4156110Z     ``state_dict_type``.
2025-09-07T06:38:42.4156210Z 
2025-09-07T06:38:42.4156360Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.4156580Z 
2025-09-07T06:38:42.4157170Z msg = Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1903.
2025-09-07T06:38:42.4157940Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.4158170Z 
2025-09-07T06:38:42.4158380Z Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model.
2025-09-07T06:38:42.4158660Z 
2025-09-07T06:38:42.4158760Z Given a ``optim_state_dict`` that is transformed through
2025-09-07T06:38:42.4159060Z :meth:`optim_state_dict`, it gets converted to the flattened optimizer
2025-09-07T06:38:42.4159380Z state_dict that can be loaded to ``optim`` which is the optimizer for
2025-09-07T06:38:42.4159690Z ``model``. ``model`` must be sharded by FullyShardedDataParallel.
2025-09-07T06:38:42.4159890Z 
2025-09-07T06:38:42.4159970Z     >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:42.4160260Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-09-07T06:38:42.4160600Z     >>> from torch.distributed.fsdp import StateDictType
2025-09-07T06:38:42.4160870Z     >>> from torch.distributed.fsdp import FullStateDictConfig
2025-09-07T06:38:42.4161160Z     >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-09-07T06:38:42.4161400Z     >>> # Save a checkpoint
2025-09-07T06:38:42.4161580Z     >>> model, optim = ...
2025-09-07T06:38:42.4161750Z     >>> FSDP.set_state_dict_type(
2025-09-07T06:38:42.4161910Z     >>>     model,
2025-09-07T06:38:42.4162060Z     >>>     StateDictType.FULL_STATE_DICT,
2025-09-07T06:38:42.4162270Z     >>>     FullStateDictConfig(rank0_only=False),
2025-09-07T06:38:42.4162510Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-09-07T06:38:42.4162700Z     >>> )
2025-09-07T06:38:42.4162830Z     >>> state_dict = model.state_dict()
2025-09-07T06:38:42.4163020Z     >>> original_osd = optim.state_dict()
2025-09-07T06:38:42.4163240Z     >>> optim_state_dict = FSDP.optim_state_dict(
2025-09-07T06:38:42.4163430Z     >>>     model,
2025-09-07T06:38:42.4163560Z     >>>     optim,
2025-09-07T06:38:42.4163690Z     >>>     optim_state_dict=original_osd
2025-09-07T06:38:42.4163860Z     >>> )
2025-09-07T06:38:42.4164010Z     >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-09-07T06:38:42.4164220Z     >>> # Load a checkpoint
2025-09-07T06:38:42.4164370Z     >>> model, optim = ...
2025-09-07T06:38:42.4164570Z     >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-09-07T06:38:42.4164780Z     >>> FSDP.set_state_dict_type(
2025-09-07T06:38:42.4164950Z     >>>     model,
2025-09-07T06:38:42.4165090Z     >>>     StateDictType.FULL_STATE_DICT,
2025-09-07T06:38:42.4165300Z     >>>     FullStateDictConfig(rank0_only=False),
2025-09-07T06:38:42.4165520Z     >>>     FullOptimStateDictConfig(rank0_only=False),
2025-09-07T06:38:42.4165720Z     >>> )
2025-09-07T06:38:42.4165910Z     >>> model.load_state_dict(state_dict)
2025-09-07T06:38:42.4166130Z     >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-09-07T06:38:42.4166350Z     >>>     model, optim, optim_state_dict
2025-09-07T06:38:42.4166530Z     >>> )
2025-09-07T06:38:42.4166670Z     >>> optim.load_state_dict(optim_state_dict)
2025-09-07T06:38:42.4166820Z 
2025-09-07T06:38:42.4166860Z Args:
2025-09-07T06:38:42.4167040Z     model (torch.nn.Module): Root module (which may or may not be a
2025-09-07T06:38:42.4167350Z         :class:`FullyShardedDataParallel` instance) whose parameters
2025-09-07T06:38:42.4167620Z         were passed into the optimizer ``optim``.
2025-09-07T06:38:42.4167880Z     optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-09-07T06:38:42.4168190Z         parameters.
2025-09-07T06:38:42.4168410Z     optim_state_dict (Dict[str, Any]): The optimizer states to be loaded.
2025-09-07T06:38:42.4168720Z     is_named_optimizer (bool): Is this optimizer a NamedOptimizer or
2025-09-07T06:38:42.4169030Z         KeyedOptimizer. Only set to True if ``optim`` is TorchRec's
2025-09-07T06:38:42.4169320Z         KeyedOptimizer or torch.distributed's NamedOptimizer.
2025-09-07T06:38:42.4169620Z     load_directly (bool): If this is set to True, this API will also
2025-09-07T06:38:42.4169920Z         call optim.load_state_dict(result) before returning the result.
2025-09-07T06:38:42.4170250Z         Otherwise, users are responsible to call ``optim.load_state_dict()``
2025-09-07T06:38:42.4170500Z         (Default: ``False``)
2025-09-07T06:38:42.4170750Z     group (dist.ProcessGroup): Model's process group across which parameters
2025-09-07T06:38:42.4171080Z         are sharded or ``None`` if using the default process group. (
2025-09-07T06:38:42.4171310Z         Default: ``None``)
2025-09-07T06:38:42.4171410Z 
2025-09-07T06:38:42.4171560Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.4171780Z 
2025-09-07T06:38:42.4172180Z msg = Cannot scrape callname=MixedPrecision in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=114.
2025-09-07T06:38:42.4172810Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.4173030Z 
2025-09-07T06:38:42.4173140Z This configures FSDP-native mixed precision training.
2025-09-07T06:38:42.4173300Z 
2025-09-07T06:38:42.4173350Z Attributes:
2025-09-07T06:38:42.4173590Z     param_dtype (Optional[torch.dtype]): This specifies the dtype for model
2025-09-07T06:38:42.4173920Z         parameters during forward and backward and thus the dtype for
2025-09-07T06:38:42.4174250Z         forward and backward computation. Outside forward and backward, the
2025-09-07T06:38:42.4174570Z         *sharded* parameters are kept in full precision (e.g. for the
2025-09-07T06:38:42.4174890Z         optimizer step), and for model checkpointing, the parameters are
2025-09-07T06:38:42.4175170Z         always saved in full precision. (Default: ``None``)
2025-09-07T06:38:42.4175460Z     reduce_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-09-07T06:38:42.4175790Z         gradient reduction (i.e. reduce-scatter or all-reduce). If this is
2025-09-07T06:38:42.4176100Z         ``None`` but ``param_dtype`` is not ``None``, then this takes on
2025-09-07T06:38:42.4176400Z         the ``param_dtype`` value, still running gradient reduction in low
2025-09-07T06:38:42.4176720Z         precision. This is permitted to differ from ``param_dtype``, e.g.
2025-09-07T06:38:42.4177030Z         to force gradient reduction to run in full precision. (Default:
2025-09-07T06:38:42.4177250Z         ``None``)
2025-09-07T06:38:42.4177460Z     buffer_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-09-07T06:38:42.4177780Z         buffers. FSDP does not shard buffers. Rather, FSDP casts them to
2025-09-07T06:38:42.4178090Z         ``buffer_dtype`` in the first forward pass and keeps them in that
2025-09-07T06:38:42.4178430Z         dtype thereafter. For model checkpointing, the buffers are saved
2025-09-07T06:38:42.4178740Z         in full precision except for ``LOCAL_STATE_DICT``. (Default:
2025-09-07T06:38:42.4178980Z         ``None``)
2025-09-07T06:38:42.4179180Z     keep_low_precision_grads (bool): If ``False``, then FSDP upcasts
2025-09-07T06:38:42.4179500Z         gradients to full precision after the backward pass in preparation
2025-09-07T06:38:42.4179820Z         for the optimizer step. If ``True``, then FSDP keeps the gradients
2025-09-07T06:38:42.4180130Z         in the dtype used for gradient reduction, which can save memory if
2025-09-07T06:38:42.4180450Z         using a custom optimizer that supports running in low precision.
2025-09-07T06:38:42.4180690Z         (Default: ``False``)
2025-09-07T06:38:42.4181010Z     cast_forward_inputs (bool): If ``True``, then this FSDP module casts
2025-09-07T06:38:42.4181330Z         its forward args and kwargs to ``param_dtype``. This is to ensure
2025-09-07T06:38:42.4181640Z         that parameter and input dtypes match for forward computation, as
2025-09-07T06:38:42.4181960Z         required by many ops. This may need to be set to ``True`` when only
2025-09-07T06:38:42.4182280Z         applying mixed precision to some but not all FSDP modules, in which
2025-09-07T06:38:42.4182620Z         case a mixed-precision FSDP submodule needs to recast its inputs.
2025-09-07T06:38:42.4182870Z         (Default: ``False``)
2025-09-07T06:38:42.4183110Z     cast_root_forward_inputs (bool): If ``True``, then the root FSDP module
2025-09-07T06:38:42.4187990Z         casts its forward args and kwargs to ``param_dtype``, overriding
2025-09-07T06:38:42.4188310Z         the value of ``cast_forward_inputs``. For non-root FSDP modules,
2025-09-07T06:38:42.4188590Z         this does not do anything. (Default: ``True``)
2025-09-07T06:38:42.4188870Z     _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies
2025-09-07T06:38:42.4189180Z         module classes to ignore for mixed precision when using an
2025-09-07T06:38:42.4189470Z         ``auto_wrap_policy``: Modules of these classes will have FSDP
2025-09-07T06:38:42.4189870Z         applied to them separately with mixed precision disabled (meaning
2025-09-07T06:38:42.4190190Z         that the final FSDP construction would deviate from the specified
2025-09-07T06:38:42.4190490Z         policy). If ``auto_wrap_policy`` is not specified, then this does
2025-09-07T06:38:42.4190800Z         not do anything. This API is experimental and subject to change.
2025-09-07T06:38:42.4191070Z         (Default: ``(_BatchNorm,)``)
2025-09-07T06:38:42.4191190Z 
2025-09-07T06:38:42.4191300Z .. note:: This API is experimental and subject to change.
2025-09-07T06:38:42.4191470Z 
2025-09-07T06:38:42.4191600Z .. note:: Only floating point tensors are cast to their specified dtypes.
2025-09-07T06:38:42.4191800Z 
2025-09-07T06:38:42.4191910Z .. note:: In ``summon_full_params``, parameters are forced to full
2025-09-07T06:38:42.4192150Z     precision, but buffers are not.
2025-09-07T06:38:42.4192280Z 
2025-09-07T06:38:42.4192400Z .. note:: Layer norm and batch norm accumulate in ``float32`` even when
2025-09-07T06:38:42.4192720Z     their inputs are in a low precision like ``float16`` or ``bfloat16``.
2025-09-07T06:38:42.4193060Z     Disabling FSDP's mixed precision for those norm modules only means that
2025-09-07T06:38:42.4193390Z     the affine parameters are kept in ``float32``. However, this incurs
2025-09-07T06:38:42.4193730Z     separate all-gathers and reduce-scatters for those norm modules, which
2025-09-07T06:38:42.4194070Z     may be inefficient, so if the workload permits, the user should prefer
2025-09-07T06:38:42.4194360Z     to still apply mixed precision to those modules.
2025-09-07T06:38:42.4194520Z 
2025-09-07T06:38:42.4194640Z .. note:: By default, if the user passes a model with any ``_BatchNorm``
2025-09-07T06:38:42.4194960Z     modules and specifies an ``auto_wrap_policy``, then the batch norm
2025-09-07T06:38:42.4195290Z     modules will have FSDP applied to them separately with mixed precision
2025-09-07T06:38:42.4195630Z     disabled. See the ``_module_classes_to_ignore`` argument.
2025-09-07T06:38:42.4195800Z 
2025-09-07T06:38:42.4195940Z .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and
2025-09-07T06:38:42.4196250Z     ``cast_forward_inputs=False`` by default. For the root FSDP instance,
2025-09-07T06:38:42.4196560Z     its ``cast_root_forward_inputs`` takes precedence over its
2025-09-07T06:38:42.4196840Z     ``cast_forward_inputs``. For non-root FSDP instances, their
2025-09-07T06:38:42.4197140Z     ``cast_root_forward_inputs`` values are ignored. The default setting is
2025-09-07T06:38:42.4197470Z     sufficient for the typical case where each FSDP instance has the same
2025-09-07T06:38:42.4197800Z     ``MixedPrecision`` configuration and only needs to cast inputs to the
2025-09-07T06:38:42.4198210Z     ``param_dtype`` at the beginning of the model's forward pass.
2025-09-07T06:38:42.4198390Z 
2025-09-07T06:38:42.4198510Z .. note:: For nested FSDP instances with different ``MixedPrecision``
2025-09-07T06:38:42.4198840Z     configurations, we recommend setting individual ``cast_forward_inputs``
2025-09-07T06:38:42.4199180Z     values to configure casting inputs or not before each instance's
2025-09-07T06:38:42.4199490Z     forward. In such a case, since the casts happen before each FSDP
2025-09-07T06:38:42.4199800Z     instance's forward, a parent FSDP instance should have its non-FSDP
2025-09-07T06:38:42.4200140Z     submodules run before its FSDP submodules to avoid the activation dtype
2025-09-07T06:38:42.4200470Z     being changed due to a different ``MixedPrecision`` configuration.
2025-09-07T06:38:42.4200670Z 
2025-09-07T06:38:42.4200720Z     Example::
2025-09-07T06:38:42.4200790Z 
2025-09-07T06:38:42.4200880Z         >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:42.4201130Z         >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3))
2025-09-07T06:38:42.4201350Z         >>> model[1] = FSDP(
2025-09-07T06:38:42.4201500Z         >>>     model[1],
2025-09-07T06:38:42.4201790Z         >>>     mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True),
2025-09-07T06:38:42.4202140Z         >>> )
2025-09-07T06:38:42.4202260Z         >>> model = FSDP(
2025-09-07T06:38:42.4202400Z         >>>     model,
2025-09-07T06:38:42.4202680Z         >>>     mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True),
2025-09-07T06:38:42.4202970Z         >>> )
2025-09-07T06:38:42.4203050Z 
2025-09-07T06:38:42.4203240Z     The above shows a working example. On the other hand, if ``model[1]``
2025-09-07T06:38:42.4203570Z     were replaced with ``model[0]``, meaning that the submodule using
2025-09-07T06:38:42.4203880Z     different ``MixedPrecision`` ran its forward first, then ``model[1]``
2025-09-07T06:38:42.4204220Z     would incorrectly see ``float16`` activations instead of ``bfloat16``
2025-09-07T06:38:42.4204460Z     ones.
2025-09-07T06:38:42.4204540Z 
2025-09-07T06:38:42.4204540Z 
2025-09-07T06:38:42.4204690Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.4691110Z 
2025-09-07T06:38:42.4691710Z msg = Cannot scrape callname=FullStateDictConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=295.
2025-09-07T06:38:42.4692410Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.4692640Z 
2025-09-07T06:38:42.4692770Z ``FullStateDictConfig`` is a config class meant to be used with
2025-09-07T06:38:42.4693090Z ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-09-07T06:38:42.4693410Z ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-09-07T06:38:42.4693750Z dicts to save GPU memory and CPU memory, respectively. This config class
2025-09-07T06:38:42.4694080Z is meant to be used via the :func:`state_dict_type` context manager as
2025-09-07T06:38:42.4694310Z follows:
2025-09-07T06:38:42.4694390Z 
2025-09-07T06:38:42.4694590Z     >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:42.4694900Z     >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-09-07T06:38:42.4695180Z     >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-09-07T06:38:42.4695450Z     >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-09-07T06:38:42.4695770Z     >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-09-07T06:38:42.4696040Z     >>>     state = fsdp.state_dict()
2025-09-07T06:38:42.4696300Z     >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-09-07T06:38:42.4696640Z     >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-09-07T06:38:42.4697100Z     >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-09-07T06:38:42.4697370Z     >>> if dist.get_rank() == 0:
2025-09-07T06:38:42.4697590Z     >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-09-07T06:38:42.4697860Z     >>>     state_dict = torch.load("my_checkpoint.pt")
2025-09-07T06:38:42.4698090Z     >>>     model.load_state_dict(state_dict)
2025-09-07T06:38:42.4698370Z     >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-09-07T06:38:42.4698720Z     >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-09-07T06:38:42.4698980Z     >>> fsdp = FSDP(
2025-09-07T06:38:42.4699120Z     ...     model,
2025-09-07T06:38:42.4699280Z     ...     device_id=torch.cuda.current_device(),
2025-09-07T06:38:42.4699480Z     ...     auto_wrap_policy=...,
2025-09-07T06:38:42.4699660Z     ...     sync_module_states=True,
2025-09-07T06:38:42.4699820Z     ... )
2025-09-07T06:38:42.4700010Z     >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-09-07T06:38:42.4700220Z 
2025-09-07T06:38:42.4700260Z Attributes:
2025-09-07T06:38:42.4700460Z     rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-09-07T06:38:42.4700770Z         dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-09-07T06:38:42.4701130Z         ranks save the full state dict. (Default: ``False``)
2025-09-07T06:38:42.4701300Z 
2025-09-07T06:38:42.4701450Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.4701660Z 
2025-09-07T06:38:42.4702160Z msg = Cannot scrape callname=init_from_local_shards in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361.
2025-09-07T06:38:42.4702840Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.4703060Z 
2025-09-07T06:38:42.4703210Z Creates an :class:`ShardedTensor` from local shards and the global metadata.
2025-09-07T06:38:42.4703500Z Needs to be called on all ranks in an SPMD fashion.
2025-09-07T06:38:42.4703660Z 
2025-09-07T06:38:42.4703700Z Args:
2025-09-07T06:38:42.4703940Z     local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list
2025-09-07T06:38:42.4704270Z         of shards that represent the local shards on this rank.
2025-09-07T06:38:42.4704580Z     global_size (int...):  a list, tuple, or `torch.Size` of integers defining the
2025-09-07T06:38:42.4704860Z         shape of the overall sharded tensor.
2025-09-07T06:38:42.4705000Z 
2025-09-07T06:38:42.4705040Z Keyword args:
2025-09-07T06:38:42.4705280Z     process_group (ProcessGroup, optional): The process group to work on. If None,
2025-09-07T06:38:42.4705580Z         the default process group will be used.
2025-09-07T06:38:42.4705830Z     init_rrefs (bool, optional): Whether or not to initialize
2025-09-07T06:38:42.4706130Z         :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-09-07T06:38:42.4706440Z         Need to initialize the RPC Framework if specified as ``True``.
2025-09-07T06:38:42.4706670Z         Default: ``False``.
2025-09-07T06:38:42.4706780Z 
2025-09-07T06:38:42.4706820Z Returns:
2025-09-07T06:38:42.4707060Z     A :class:`ShardedTensor` object handle on this rank
2025-09-07T06:38:42.4707220Z 
2025-09-07T06:38:42.4707220Z 
2025-09-07T06:38:42.4707270Z Examples:
2025-09-07T06:38:42.4707490Z     Suppose we want construct a sharded tensor on two ranks, global size = (10, 5),
2025-09-07T06:38:42.4707820Z     each shard have a (5, 5) local tensor, we can do it like below:
2025-09-07T06:38:42.4708000Z 
2025-09-07T06:38:42.4708040Z     on rank 0:
2025-09-07T06:38:42.4708190Z     >>> # xdoctest: +SKIP("not distributed")
2025-09-07T06:38:42.4708400Z     >>> local_shard_metadata = ShardMetadata(
2025-09-07T06:38:42.4708590Z     >>>     shard_offsets=[0, 0],
2025-09-07T06:38:42.4708760Z     >>>     shard_lengths=[5, 5],
2025-09-07T06:38:42.4709020Z     >>>     placement="rank:0/cuda:0"
2025-09-07T06:38:42.4709190Z     >>> )
2025-09-07T06:38:42.4709370Z     >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-09-07T06:38:42.4709680Z     >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-09-07T06:38:42.4709860Z 
2025-09-07T06:38:42.4709910Z     on rank 1:
2025-09-07T06:38:42.4710050Z     >>> # xdoctest: +SKIP("not distributed")
2025-09-07T06:38:42.4710260Z     >>> local_shard_metadata = ShardMetadata(
2025-09-07T06:38:42.4710450Z     >>>     shard_offsets=[5, 0],
2025-09-07T06:38:42.4710620Z     >>>     shard_lengths=[5, 5],
2025-09-07T06:38:42.4710790Z     >>>     placement="rank:1/cuda:1"
2025-09-07T06:38:42.4710950Z     >>> )
2025-09-07T06:38:42.4711140Z     >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-09-07T06:38:42.4711490Z     >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-09-07T06:38:42.4711670Z 
2025-09-07T06:38:42.4711830Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.4712040Z 
2025-09-07T06:38:42.4712540Z msg = Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835.
2025-09-07T06:38:42.4713260Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.4713480Z 
2025-09-07T06:38:42.4713640Z Initialize a ShardedTensor given only one local tensor, global sharded tensor
2025-09-07T06:38:42.4713910Z size and sharding spec on each rank.
2025-09-07T06:38:42.4714040Z 
2025-09-07T06:38:42.4714080Z Args:
2025-09-07T06:38:42.4714390Z     local_tensor (Tensor): Single tensor of local shard stored in each rank.
2025-09-07T06:38:42.4714750Z     sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`):
2025-09-07T06:38:42.4715080Z         The specification describing how to shard the Tensor.
2025-09-07T06:38:42.4715350Z     global_size (Sequence[int]): Size of the sharded tensor.
2025-09-07T06:38:42.4715670Z     process_group (ProcessGroup, optional): The process group to aggregate on.
2025-09-07T06:38:42.4715940Z         Default: None
2025-09-07T06:38:42.4716130Z     init_rrefs (bool, optional): Whether or not to initialize
2025-09-07T06:38:42.4716440Z         :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-09-07T06:38:42.4716750Z         Need to initialize the RPC Framework if specified as ``True``.
2025-09-07T06:38:42.4716980Z         Default: ``False``.
2025-09-07T06:38:42.4717080Z 
2025-09-07T06:38:42.4717130Z Returns:
2025-09-07T06:38:42.4717340Z     A :class:`ShardedTensor` sharded based on the given sharding_spec with local
2025-09-07T06:38:42.4717620Z         tensor stored in the current rank.
2025-09-07T06:38:42.4717760Z 
2025-09-07T06:38:42.4717800Z Examples:
2025-09-07T06:38:42.4717920Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:42.4718100Z     >>> # All tensors below are of torch.int64 type.
2025-09-07T06:38:42.4718320Z     >>> # We have 2 process groups, 2 ranks.
2025-09-07T06:38:42.4718550Z     >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank
2025-09-07T06:38:42.4718880Z     >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2]))
2025-09-07T06:38:42.4719120Z     >>> local_tensor
2025-09-07T06:38:42.4719260Z     tensor([[1, 2, 3, 4]]) # Rank 0
2025-09-07T06:38:42.4719430Z     tensor([[3, 4, 5, 6]]) # Rank 1
2025-09-07T06:38:42.4719600Z     >>> sharding_dim = 0
2025-09-07T06:38:42.4719770Z     >>> sharding_spec = ChunkShardingSpec(
2025-09-07T06:38:42.4719960Z             dim=sharding_dim,
2025-09-07T06:38:42.4720110Z             placements=[
2025-09-07T06:38:42.4720270Z                 "rank:0/cuda:0",
2025-09-07T06:38:42.4720430Z                 "rank:1/cuda:1",
2025-09-07T06:38:42.4720580Z             ],
2025-09-07T06:38:42.4720690Z         )
2025-09-07T06:38:42.4720840Z     >>> st = ShardedTensor._init_from_local_tensor(
2025-09-07T06:38:42.4721110Z     ...     local_tensor, sharding_spec, [2, 4]
2025-09-07T06:38:42.4721290Z     ... )
2025-09-07T06:38:42.4721400Z     >>> st
2025-09-07T06:38:42.4721510Z     ShardedTensor(
2025-09-07T06:38:42.4721660Z         ShardedTensorMetadata(
2025-09-07T06:38:42.4721820Z             shards_metadata=[
2025-09-07T06:38:42.4722090Z                 ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0),
2025-09-07T06:38:42.4722480Z                 ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1),
2025-09-07T06:38:42.4722740Z             ],
2025-09-07T06:38:42.4722870Z             size=torch.Size([2, 4])
2025-09-07T06:38:42.4723030Z     )
2025-09-07T06:38:42.4723150Z     >>> st.local_tensor()
2025-09-07T06:38:42.4723300Z     tensor([1, 2, 3, 4]) # Rank 0
2025-09-07T06:38:42.4723460Z     tensor([3, 4, 5, 6]) # Rank 1
2025-09-07T06:38:42.4723570Z 
2025-09-07T06:38:42.4723730Z Warning: This API is experimental and subject to change. It lacks of a fully across
2025-09-07T06:38:42.4724110Z          rank validations, and we only validate the local shard on the current rank.
2025-09-07T06:38:42.4724450Z          We fully rely on the user to ensure local tensor is sharded based on the
2025-09-07T06:38:42.4724690Z          sharding spec.
2025-09-07T06:38:42.4724790Z 
2025-09-07T06:38:42.4724950Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.4725230Z 
2025-09-07T06:38:42.4725690Z msg = Cannot scrape callname=ShardedTensor.reshard in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076.
2025-09-07T06:38:42.4726380Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.4726610Z 
2025-09-07T06:38:42.4726760Z Reshard a sharded tensor given the ``resharding_spec``. For now, we only support
2025-09-07T06:38:42.4727030Z single local shard.
2025-09-07T06:38:42.4727120Z 
2025-09-07T06:38:42.4727250Z If ``resharding_spec`` is same as the original one, this becomes a no-op.
2025-09-07T06:38:42.4727600Z If only ``resharding_spec`` shares the same sharding dim with the original one,
2025-09-07T06:38:42.4727870Z we swap local shards directly.
2025-09-07T06:38:42.4728140Z For more generic cases, we merge different shards across different ranks and split
2025-09-07T06:38:42.4728510Z the local shards based on the ``resharding_spec`` via `all_to_all` collective API.
2025-09-07T06:38:42.4728730Z 
2025-09-07T06:38:42.4728780Z Args:
2025-09-07T06:38:42.4729010Z     resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The
2025-09-07T06:38:42.4729350Z         specification describing how the tensor is sharded.
2025-09-07T06:38:42.4729510Z 
2025-09-07T06:38:42.4729560Z Returns:
2025-09-07T06:38:42.4729750Z     A :class:`ShardedTensor` object whose local shards are resharded.
2025-09-07T06:38:42.4729940Z 
2025-09-07T06:38:42.4729980Z Examples:
2025-09-07T06:38:42.4730100Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:42.4730270Z     >>> # We have 2 process groups, 2 ranks.
2025-09-07T06:38:42.4730520Z     >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank
2025-09-07T06:38:42.4730760Z     >>> tensor = torch.stack([tensor, tensor])
2025-09-07T06:38:42.4731000Z     >>> tensor
2025-09-07T06:38:42.4731080Z     tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0
2025-09-07T06:38:42.4731150Z     tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1
2025-09-07T06:38:42.4731210Z     tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2
2025-09-07T06:38:42.4731290Z     tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3
2025-09-07T06:38:42.4731340Z     >>> sharding_dim = 0
2025-09-07T06:38:42.4731400Z     >>> spec = ChunkShardingSpec(
2025-09-07T06:38:42.4731450Z             dim=sharding_dim,
2025-09-07T06:38:42.4731500Z             placements=[
2025-09-07T06:38:42.4731560Z                 "rank:0/cuda:0",
2025-09-07T06:38:42.4731610Z                 "rank:1/cuda:1",
2025-09-07T06:38:42.4731660Z                 "rank:2/cuda:2",
2025-09-07T06:38:42.4731760Z                 "rank:3/cuda:3",
2025-09-07T06:38:42.4731810Z             ],
2025-09-07T06:38:42.4731850Z         )
2025-09-07T06:38:42.4731910Z     >>> current_offsets = [0] * 2
2025-09-07T06:38:42.4731960Z     >>> current_offsets[0] = rank * 2
2025-09-07T06:38:42.4732030Z     >>> shard_metadata = ShardMetadata(
2025-09-07T06:38:42.4732120Z             shard_offsets=copy.deepcopy(current_offsets),
2025-09-07T06:38:42.4732190Z             shard_sizes=tensor.size(),
2025-09-07T06:38:42.4732260Z             placement=spec.placements[rank],
2025-09-07T06:38:42.4732300Z         )
2025-09-07T06:38:42.4732350Z     >>> local_shards = [
2025-09-07T06:38:42.4732390Z             Shard(
2025-09-07T06:38:42.4732450Z                 tensor=tensor,
2025-09-07T06:38:42.4732510Z                 metadata=shard_metadata,
2025-09-07T06:38:42.4732550Z             )
2025-09-07T06:38:42.4732590Z         ]
2025-09-07T06:38:42.4732730Z     >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size())
2025-09-07T06:38:42.4732780Z     >>> sharding_dim = 1
2025-09-07T06:38:42.4732860Z     >>> resharding_spec = ChunkShardingSpec(
2025-09-07T06:38:42.4732910Z             dim=sharding_dim,
2025-09-07T06:38:42.4732960Z             placements=[
2025-09-07T06:38:42.4733010Z                 "rank:0/cuda:0",
2025-09-07T06:38:42.4733090Z                 "rank:1/cuda:1",
2025-09-07T06:38:42.4733140Z                 "rank:2/cuda:2",
2025-09-07T06:38:42.4733190Z                 "rank:3/cuda:3",
2025-09-07T06:38:42.4733230Z             ],
2025-09-07T06:38:42.4733270Z         )
2025-09-07T06:38:42.4733330Z     >>> st.reshard(resharding_spec)
2025-09-07T06:38:42.4733400Z     >>> tensor = st.local_shards()[0].tensor
2025-09-07T06:38:42.4733460Z     >>> tensor
2025-09-07T06:38:42.4733550Z     tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0
2025-09-07T06:38:42.4733640Z     tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1
2025-09-07T06:38:42.4733720Z     tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2
2025-09-07T06:38:42.4733800Z     tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3
2025-09-07T06:38:42.4733810Z 
2025-09-07T06:38:42.4733960Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.4762960Z 
2025-09-07T06:38:42.4763580Z msg = Cannot scrape callname=ShardingPlan in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12.
2025-09-07T06:38:42.4763740Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.4763740Z 
2025-09-07T06:38:42.4763920Z Representation of a sharding plan, describes how to shard a module
2025-09-07T06:38:42.4764090Z across hosts. `plan` is used to shard module parameters according to the spec provided,
2025-09-07T06:38:42.4764270Z `output_plan` and `return_local_tensor` are optional, they are used to specify the output
2025-09-07T06:38:42.4764430Z layout of a module with a spec, and when to convert back to data parallel fashion.
2025-09-07T06:38:42.4764430Z 
2025-09-07T06:38:42.4764470Z Args:
2025-09-07T06:38:42.4764650Z     plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`,
2025-09-07T06:38:42.4764830Z           :class:`torch.distributed._shard.sharder.Sharder`]):
2025-09-07T06:38:42.4765010Z         a dict describes how to shard a module, there're currently two ways to shard a module:
2025-09-07T06:38:42.4765160Z             1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of
2025-09-07T06:38:42.4765240Z                a parameter to a `ShardingSpec`.
2025-09-07T06:38:42.4765400Z             2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module
2025-09-07T06:38:42.4765470Z                to a `Sharder` object.
2025-09-07T06:38:42.4765670Z     output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional):
2025-09-07T06:38:42.4765830Z         a dict specifies the layout of a module's output which produces a ShardedTensor,
2025-09-07T06:38:42.4766060Z         keyed by the name of module to ShardingSpec("" in key means the root module).
2025-09-07T06:38:42.4766110Z         Default: `None`
2025-09-07T06:38:42.4766270Z     return_local_tensor (List[str], optional): a list of string, each element enables
2025-09-07T06:38:42.4766420Z         a module's sharded output to be returned as a Tensor from its local shards to
2025-09-07T06:38:42.4766580Z         ensure further processing in a data parallel fashion. ("" in list means the
2025-09-07T06:38:42.4766630Z         root module).
2025-09-07T06:38:42.4766680Z         Default: None
2025-09-07T06:38:42.4766720Z Example:
2025-09-07T06:38:42.4766910Z   Suppose we want to shard a module with two linear layers and then run it with DDP, we also
2025-09-07T06:38:42.4767080Z   want to convert the output of the second linear layer back to DDP, we can do it as follows:
2025-09-07T06:38:42.4767080Z 
2025-09-07T06:38:42.4767200Z     >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d)
2025-09-07T06:38:42.4767260Z     >>> class MyModule(nn.Module):
2025-09-07T06:38:42.4767320Z     >>>     def __init__(self) -> None:
2025-09-07T06:38:42.4767380Z     >>>        super().__init__()
2025-09-07T06:38:42.4767440Z     >>>        self.fc1 = nn.Linear()
2025-09-07T06:38:42.4767550Z     >>>        self.gelu = nn.GELU()
2025-09-07T06:38:42.4767610Z     >>>        self.fc2 = nn.Linear()
2025-09-07T06:38:42.4767670Z     >>>        self.relu = nn.Linear()
2025-09-07T06:38:42.4767710Z     >>>
2025-09-07T06:38:42.4767780Z     >>>     def forward(self, input):
2025-09-07T06:38:42.4767890Z     >>>         return self.relu(self.fc2(self.gelu(self.fc1(input))))
2025-09-07T06:38:42.4767910Z 
2025-09-07T06:38:42.4767920Z 
2025-09-07T06:38:42.4768000Z     >>> # xdoctest: +SKIP("Undefined spec1, spec2)
2025-09-07T06:38:42.4768060Z     >>> sharding_plan = ShardingPlan(
2025-09-07T06:38:42.4768110Z     >>>    plan={
2025-09-07T06:38:42.4768170Z     >>>        "fc1.weight": spec1,
2025-09-07T06:38:42.4768220Z     >>>        "fc2.weight": spec2
2025-09-07T06:38:42.4768270Z     >>>    },
2025-09-07T06:38:42.4768320Z     >>>    output_plan={
2025-09-07T06:38:42.4768380Z     >>>        "fc2": output_spec
2025-09-07T06:38:42.4768420Z     >>>    },
2025-09-07T06:38:42.4768490Z     >>>    return_local_tensor=["fc2"]
2025-09-07T06:38:42.4768530Z     >>> )
2025-09-07T06:38:42.4768530Z 
2025-09-07T06:38:42.4768690Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.4768690Z 
2025-09-07T06:38:42.4769180Z msg = Cannot scrape callname=register_sharding in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25.
2025-09-07T06:38:42.4769340Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.4769340Z 
2025-09-07T06:38:42.4769510Z :meth:`register_sharding` is an experimental API that allows users to register sharding
2025-09-07T06:38:42.4769650Z strategies for an operator when the tensor inputs and outputs are DTensor.
2025-09-07T06:38:42.4769800Z It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``,
2025-09-07T06:38:42.4774250Z e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2)
2025-09-07T06:38:42.4774430Z when users would like to overwrite default sharding strategies of existing operators.
2025-09-07T06:38:42.4774430Z 
2025-09-07T06:38:42.4774480Z Args:
2025-09-07T06:38:42.4774550Z     op (Union[OpOverload, List[OpOverload]]):
2025-09-07T06:38:42.4774670Z         An op or a list of ops to register the customized sharding function.
2025-09-07T06:38:42.4774680Z 
2025-09-07T06:38:42.4774720Z Returns:
2025-09-07T06:38:42.4774880Z     A function decorator which can be used to wrap a function that defines the sharding
2025-09-07T06:38:42.4775040Z     strategy for the operator specified in ``op``. The defined sharding strategy will be
2025-09-07T06:38:42.4775310Z     registered to DTensor and will override the default sharding strategy if DTensor has
2025-09-07T06:38:42.4775490Z     already implemented the operator. The customized sharding function takes the same inputs
2025-09-07T06:38:42.4775640Z     as the original op (except that if an arg is a :class:`torch.Tensor`, it will be
2025-09-07T06:38:42.4775800Z     replaced by a tensor-like object that DTensor uses internally). The function should
2025-09-07T06:38:42.4775970Z     return a sequence of 2-tuples, each specifying acceptable output placements and its
2025-09-07T06:38:42.4776040Z     corresponding input placements.
2025-09-07T06:38:42.4776040Z 
2025-09-07T06:38:42.4776080Z Example:
2025-09-07T06:38:42.4776150Z     >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:42.4776230Z     >>> @register_sharding(aten._softmax.default)
2025-09-07T06:38:42.4776320Z     >>> def custom_softmax_sharding(x, dim, half_to_float):
2025-09-07T06:38:42.4776420Z     >>>     softmax_dim = dim if dim >= 0 else dim + x.ndim
2025-09-07T06:38:42.4776480Z     >>>     acceptable_shardings = []
2025-09-07T06:38:42.4776520Z     >>>
2025-09-07T06:38:42.4776630Z     >>>     all_replicate = ([Replicate()], [Replicate(), None, None])
2025-09-07T06:38:42.4776720Z     >>>     acceptable_shardings.append(all_replicate)
2025-09-07T06:38:42.4776780Z     >>>
2025-09-07T06:38:42.4776850Z     >>>     for sharding_dim in range(x.ndim):
2025-09-07T06:38:42.4776920Z     >>>         if sharding_dim != softmax_dim:
2025-09-07T06:38:42.4776970Z     >>>             all_sharded = (
2025-09-07T06:38:42.4777040Z     >>>                 [Shard(sharding_dim)],
2025-09-07T06:38:42.4777110Z     >>>                 [Shard(sharding_dim), None, None],
2025-09-07T06:38:42.4777210Z     >>>             )
2025-09-07T06:38:42.4777310Z     >>>             acceptable_shardings.append(all_sharded)
2025-09-07T06:38:42.4777350Z     >>>
2025-09-07T06:38:42.4777410Z     >>>     return acceptable_shardings
2025-09-07T06:38:42.4777420Z 
2025-09-07T06:38:42.4777540Z .. note:: This API is currently experimental and subject to change
2025-09-07T06:38:42.4777550Z 
2025-09-07T06:38:42.4777700Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.4777700Z 
2025-09-07T06:38:42.4778140Z msg = Cannot scrape callname=local_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35.
2025-09-07T06:38:42.4778300Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.4778300Z 
2025-09-07T06:38:42.4778460Z :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s
2025-09-07T06:38:42.4778630Z to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting
2025-09-07T06:38:42.4778790Z the local components of :class:`DTensor`, call the function, and wrap the outputs to
2025-09-07T06:38:42.4778890Z :class:`DTensor` according to the ``out_placements``.
2025-09-07T06:38:42.4778900Z 
2025-09-07T06:38:42.4778940Z Args:
2025-09-07T06:38:42.4779060Z     func (Callable): the function to be applied on each local shard of
2025-09-07T06:38:42.4779110Z         :class:`DTensor` s.
2025-09-07T06:38:42.4779280Z     out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]):
2025-09-07T06:38:42.4779440Z         the desired placements of the :class:`DTensor` s in ``func``'s flattened output.
2025-09-07T06:38:42.4779590Z         If the flattened ``output`` is a single value, the ``out_placements`` should be
2025-09-07T06:38:42.4779730Z         of type `PlacementType`. Otherwise if the flattened ``output`` has multiple
2025-09-07T06:38:42.4779880Z         values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1
2025-09-07T06:38:42.4779960Z         mapping to the flattened ``output``.
2025-09-07T06:38:42.4780080Z         Besides, for :class:`Tensor` output, we use `PlacementType` as its
2025-09-07T06:38:42.4780310Z         placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType`
2025-09-07T06:38:42.4780360Z         should be `None`.
2025-09-07T06:38:42.4780510Z         Note that the only exception is when no :class:`DTensor` argument is passed
2025-09-07T06:38:42.4780640Z         in. In this case, even if `out_placements` is not `None`, the result function
2025-09-07T06:38:42.4780790Z         should ignore the desired placements because the function is not running with
2025-09-07T06:38:42.4780850Z         :class:`DTensor` s.
2025-09-07T06:38:42.4780950Z     in_placements (Tuple[`PlacementType`, ...], optional):
2025-09-07T06:38:42.4781120Z         the required placements of the :class:`DTensor` s in the flattened inputs of ``func``.
2025-09-07T06:38:42.4781260Z         If ``in_placements`` is specified, :meth:`local_map` would examine whether the
2025-09-07T06:38:42.4781400Z         placements of each :class:`DTensor` argument is the same as the required
2025-09-07T06:38:42.4781510Z         placements or not. If the placements are not the same and
2025-09-07T06:38:42.4781660Z         ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if
2025-09-07T06:38:42.4781810Z         ``redistribute_inputs`` is ``True``, the argument will be first redistributed to
2025-09-07T06:38:42.4781960Z         the required sharding placements before passing its local tensor to ``func``.
2025-09-07T06:38:42.4782130Z         The only exception is when required placements are not ``None`` and the
2025-09-07T06:38:42.4782270Z         argument is a :class:`torch.Tensor`. In this case, the placements examination
2025-09-07T06:38:42.4782410Z         will be skipped and the argument will be directly passed to ``func``.
2025-09-07T06:38:42.4782560Z         If ``in_placements`` is ``None``, no placements examination will be performed.
2025-09-07T06:38:42.4782610Z         Default: None
2025-09-07T06:38:42.4782720Z     in_grad_placements (Tuple[`PlacementType`, ...], optional):
2025-09-07T06:38:42.4782850Z         the placements hint of the :class:`DTensor` s gradient corresponds
2025-09-07T06:38:42.4782980Z         to the flattened input DTensor. This argument is the hint that user
2025-09-07T06:38:42.4783140Z         can give to :meth:`to_local` in case the gradient layout of the
2025-09-07T06:38:42.4783280Z         local tensor input does not match its :class:`DTensor` input layout.
2025-09-07T06:38:42.4783400Z         If not specified, we will assume the gradient layout of the local
2025-09-07T06:38:42.4783530Z         tensor input remains the same as the original :class:`DTensor` input
2025-09-07T06:38:42.4783630Z         and use that for gradient computation. Default: None.
2025-09-07T06:38:42.4783720Z     device_mesh (:class:`DeviceMesh`, optional):
2025-09-07T06:38:42.4783850Z         the device mesh that the output :class:`DTensor` s are placed on. If not
2025-09-07T06:38:42.4784000Z         specified, this will be inferred from the first input :class:`DTensor`'s device
2025-09-07T06:38:42.4784060Z         mesh. Default: None.
2025-09-07T06:38:42.4784060Z 
2025-09-07T06:38:42.4784110Z Keyword Args:
2025-09-07T06:38:42.4784170Z     redistribute_inputs (bool, optional):
2025-09-07T06:38:42.4784360Z         the bool value indicating whether to reshard the input :class:`DTensor` s when
2025-09-07T06:38:42.4784510Z         their placements are different from the required input placements. If this
2025-09-07T06:38:42.4784650Z         value is ``False`` and some :class:`DTensor` input has a different placement,
2025-09-07T06:38:42.4784730Z         an exception will be raised. Default: False.
2025-09-07T06:38:42.4784740Z 
2025-09-07T06:38:42.4784780Z Returns:
2025-09-07T06:38:42.4784940Z     A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor`
2025-09-07T06:38:42.4785080Z     and returns a :class:`DTensor` constructed from the return value of ``func``.
2025-09-07T06:38:42.4785090Z 
2025-09-07T06:38:42.4785130Z Raises:
2025-09-07T06:38:42.4785280Z     AssertionError: For any non-DTensor output, we require its corresponding
2025-09-07T06:38:42.4785490Z         output placement in ``out_placements`` be None. An AssertionError will be raised
2025-09-07T06:38:42.4785550Z         if this is not the case.
2025-09-07T06:38:42.4785550Z 
2025-09-07T06:38:42.4785710Z     ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs
2025-09-07T06:38:42.4785810Z         a redistribution according to ``in_placements``.
2025-09-07T06:38:42.4785810Z 
2025-09-07T06:38:42.4785850Z Example:
2025-09-07T06:38:42.4785920Z     >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:42.4786000Z     >>> def mm_allreduce_forward(device_mesh, W, X):
2025-09-07T06:38:42.4786070Z     >>>     partial_sum_tensor = torch.mm(W, X)
2025-09-07T06:38:42.4786220Z     >>>     reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh)
2025-09-07T06:38:42.4786280Z     >>>     return reduced_tensor
2025-09-07T06:38:42.4786320Z     >>>
2025-09-07T06:38:42.4786400Z     >>> W = torch.randn(12, 8, requires_grad=False)
2025-09-07T06:38:42.4786470Z     >>> X = torch.randn(8, 16, requires_grad=False)
2025-09-07T06:38:42.4786520Z     >>> Y = torch.mm(W, X)
2025-09-07T06:38:42.4786640Z     >>> row_wise = [Shard(0)]  # row-wise sharding placements on 1-d mesh
2025-09-07T06:38:42.4786750Z     >>> col_wise = [Shard(1)]  # col-wise sharding placements on 1-d mesh
2025-09-07T06:38:42.4786850Z     >>>
2025-09-07T06:38:42.4787010Z     >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor conversion
2025-09-07T06:38:42.4787080Z     >>> local_mm_allreduce_forward = local_map(
2025-09-07T06:38:42.4787140Z     >>>     mm_allreduce_forward,
2025-09-07T06:38:42.4787200Z     >>>     out_placements=[Replicate()],
2025-09-07T06:38:42.4787290Z     >>>     in_placements=[col_wise, row_wise],
2025-09-07T06:38:42.4787350Z     >>>     device_mesh=device_mesh,
2025-09-07T06:38:42.4787400Z     >>> )
2025-09-07T06:38:42.4787440Z     >>>
2025-09-07T06:38:42.4787490Z     >>> W_dt = distribute_tensor(
2025-09-07T06:38:42.4787550Z     ...     W, device_mesh, (col_wise)
2025-09-07T06:38:42.4787620Z     ... )  # col-wisely sharded W tensor
2025-09-07T06:38:42.4787670Z     >>> X_dt = distribute_tensor(
2025-09-07T06:38:42.4787730Z     ...     X, device_mesh, (row_wise)
2025-09-07T06:38:42.4787790Z     ... )  # row-wisely sharded X tensor
2025-09-07T06:38:42.4787860Z     >>> Y_dt = local_mm_allreduce_forward(
2025-09-07T06:38:42.4787910Z     ...     device_mesh, W_dt, X_dt
2025-09-07T06:38:42.4788000Z     ... )  # apply local_mm_allreduce_forward to DTensors
2025-09-07T06:38:42.4788000Z 
2025-09-07T06:38:42.4788130Z .. note:: This API is currently experimental and subject to change
2025-09-07T06:38:42.4788130Z 
2025-09-07T06:38:42.4788280Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.5122170Z 
2025-09-07T06:38:42.5122890Z msg = Cannot scrape callname=PrepareModuleInput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=428.
2025-09-07T06:38:42.5123070Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.5123070Z 
2025-09-07T06:38:42.5123490Z Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to
2025-09-07T06:38:42.5123700Z ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``.
2025-09-07T06:38:42.5123700Z 
2025-09-07T06:38:42.5123780Z Keyword Args:
2025-09-07T06:38:42.5123910Z     input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-09-07T06:38:42.5124120Z         The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-09-07T06:38:42.5124340Z         DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-09-07T06:38:42.5124420Z         as a placeholder. default: None.
2025-09-07T06:38:42.5124680Z     desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-09-07T06:38:42.5124920Z         The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-09-07T06:38:42.5125160Z         have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-09-07T06:38:42.5125240Z     input_kwarg_layouts (Dict[str, Placement]):
2025-09-07T06:38:42.5125480Z         The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-09-07T06:38:42.5125530Z         default: None
2025-09-07T06:38:42.5125630Z     desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-09-07T06:38:42.5125860Z         The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-09-07T06:38:42.5125950Z         have the desired DTensor layouts. default: None.
2025-09-07T06:38:42.5126020Z     use_local_output (bool, optional):
2025-09-07T06:38:42.5126240Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-09-07T06:38:42.5126280Z Returns:
2025-09-07T06:38:42.5126480Z     A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs.
2025-09-07T06:38:42.5126580Z 
2025-09-07T06:38:42.5126630Z Example::
2025-09-07T06:38:42.5126700Z     >>> # xdoctest: +SKIP(failing)
2025-09-07T06:38:42.5126880Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput
2025-09-07T06:38:42.5127000Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-09-07T06:38:42.5127050Z     >>> ...
2025-09-07T06:38:42.5127270Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-09-07T06:38:42.5127350Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-09-07T06:38:42.5127400Z     >>>
2025-09-07T06:38:42.5127600Z     >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor
2025-09-07T06:38:42.5127700Z     >>> # and then redistributed to Replicated DTensor.
2025-09-07T06:38:42.5127760Z     >>> parallelize_module(
2025-09-07T06:38:42.5127840Z     >>>     block, # this can be a submodule or module
2025-09-07T06:38:42.5127890Z     >>>     tp_mesh,
2025-09-07T06:38:42.5127950Z     >>>     parallelize_plan={
2025-09-07T06:38:42.5128020Z     >>>         "attn": PrepareModuleInput(
2025-09-07T06:38:42.5128110Z     >>>             input_layouts=(Shard(0), None, None, ...),
2025-09-07T06:38:42.5128220Z     >>>             desired_input_layouts=(Replicate(), None, None, ...)
2025-09-07T06:38:42.5128260Z     >>>         ),
2025-09-07T06:38:42.5128310Z     >>>     }
2025-09-07T06:38:42.5128350Z     >>> )
2025-09-07T06:38:42.5128350Z 
2025-09-07T06:38:42.5128500Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.5128510Z 
2025-09-07T06:38:42.5128960Z msg = Cannot scrape callname=PrepareModuleOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=597.
2025-09-07T06:38:42.5129190Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.5129190Z 
2025-09-07T06:38:42.5129430Z Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to
2025-09-07T06:38:42.5129630Z ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``.
2025-09-07T06:38:42.5129630Z 
2025-09-07T06:38:42.5129670Z Keyword Args:
2025-09-07T06:38:42.5129780Z     output_layouts (Union[Placement, Tuple[Placement]]):
2025-09-07T06:38:42.5129980Z         The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-09-07T06:38:42.5130210Z         DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-09-07T06:38:42.5130410Z         ``None`` need to be specified as a placeholder.
2025-09-07T06:38:42.5130530Z     desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-09-07T06:38:42.5130760Z         The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-09-07T06:38:42.5130830Z         have the desired DTensor layouts.
2025-09-07T06:38:42.5130890Z     use_local_output (bool, optional):
2025-09-07T06:38:42.5131110Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-09-07T06:38:42.5131160Z Returns:
2025-09-07T06:38:42.5131330Z     A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs.
2025-09-07T06:38:42.5131340Z 
2025-09-07T06:38:42.5131380Z Example::
2025-09-07T06:38:42.5131440Z     >>> # xdoctest: +SKIP(failing)
2025-09-07T06:38:42.5131630Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput
2025-09-07T06:38:42.5131750Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-09-07T06:38:42.5131800Z     >>> ...
2025-09-07T06:38:42.5131980Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-09-07T06:38:42.5132060Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-09-07T06:38:42.5132120Z     >>>
2025-09-07T06:38:42.5132360Z     >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor
2025-09-07T06:38:42.5132450Z     >>> # and then redistributed to Sharded DTensor.
2025-09-07T06:38:42.5132510Z     >>> parallelize_module(
2025-09-07T06:38:42.5132630Z     >>>     block, # this can be a submodule or module
2025-09-07T06:38:42.5132680Z     >>>     tp_mesh,
2025-09-07T06:38:42.5132760Z     >>>     parallelize_plan = PrepareModuleOutput(
2025-09-07T06:38:42.5132830Z     >>>         output_layouts=Replicate(),
2025-09-07T06:38:42.5132900Z     >>>         desired_output_layouts=Shard(0)
2025-09-07T06:38:42.5132950Z     >>>     )
2025-09-07T06:38:42.5132990Z     >>> )
2025-09-07T06:38:42.5132990Z 
2025-09-07T06:38:42.5133150Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.5133150Z 
2025-09-07T06:38:42.5133620Z msg = Cannot scrape callname=PrepareModuleInputOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=705.
2025-09-07T06:38:42.5133780Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.5133780Z 
2025-09-07T06:38:42.5134030Z Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module
2025-09-07T06:38:42.5134280Z to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution
2025-09-07T06:38:42.5134510Z according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of
2025-09-07T06:38:42.5134640Z :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`.
2025-09-07T06:38:42.5134640Z 
2025-09-07T06:38:42.5134720Z Keyword Args:
2025-09-07T06:38:42.5134850Z     input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-09-07T06:38:42.5135050Z         The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-09-07T06:38:42.5135270Z         DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-09-07T06:38:42.5135340Z         as a placeholder. default: None.
2025-09-07T06:38:42.5135480Z     desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-09-07T06:38:42.5135700Z         The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-09-07T06:38:42.5135930Z         have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-09-07T06:38:42.5136070Z     input_kwarg_layouts (Dict[str, Placement]):
2025-09-07T06:38:42.5136300Z         The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-09-07T06:38:42.5136350Z         default: None
2025-09-07T06:38:42.5136440Z     desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-09-07T06:38:42.5136660Z         The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-09-07T06:38:42.5136750Z         have the desired DTensor layouts. default: None.
2025-09-07T06:38:42.5136810Z     use_local_input (bool, optional):
2025-09-07T06:38:42.5137030Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-09-07T06:38:42.5137130Z     output_layouts (Union[Placement, Tuple[Placement]]):
2025-09-07T06:38:42.5137330Z         The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-09-07T06:38:42.5137570Z         DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-09-07T06:38:42.5137650Z         ``None`` need to be specified as a placeholder.
2025-09-07T06:38:42.5137810Z     desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-09-07T06:38:42.5138030Z         The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-09-07T06:38:42.5138100Z         have the desired DTensor layouts.
2025-09-07T06:38:42.5138170Z     use_local_output (bool, optional):
2025-09-07T06:38:42.5138410Z         Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-09-07T06:38:42.5138450Z Returns:
2025-09-07T06:38:42.5138670Z     A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs.
2025-09-07T06:38:42.5138680Z 
2025-09-07T06:38:42.5138720Z Example::
2025-09-07T06:38:42.5138780Z     >>> # xdoctest: +SKIP(failing)
2025-09-07T06:38:42.5138980Z     >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput
2025-09-07T06:38:42.5139110Z     >>> from torch.distributed.device_mesh import init_device_mesh
2025-09-07T06:38:42.5139150Z     >>> ...
2025-09-07T06:38:42.5139340Z     >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-09-07T06:38:42.5139420Z     >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-09-07T06:38:42.5139460Z     >>>
2025-09-07T06:38:42.5139660Z     >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor
2025-09-07T06:38:42.5139870Z     >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated
2025-09-07T06:38:42.5140000Z     >>> # as Replicated DTensor and then redistributed to Sharded DTensor.
2025-09-07T06:38:42.5140060Z     >>> parallelize_module(
2025-09-07T06:38:42.5140140Z     >>>     block, # this can be a submodule or module
2025-09-07T06:38:42.5140180Z     >>>     tp_mesh,
2025-09-07T06:38:42.5140270Z     >>>     parallelize_plan={
2025-09-07T06:38:42.5140360Z     >>>         "attn": PrepareModuleInputOutput(
2025-09-07T06:38:42.5140450Z     >>>             input_layouts=(Shard(0), None, None, ...),
2025-09-07T06:38:42.5140550Z     >>>             desired_input_layouts=(Replicate(), None, None, ...),
2025-09-07T06:38:42.5140630Z     >>>             output_layouts=Replicate(),
2025-09-07T06:38:42.5140700Z     >>>             desired_output_layouts=Shard(0),
2025-09-07T06:38:42.5140740Z     >>>         ),
2025-09-07T06:38:42.5140780Z     >>>     }
2025-09-07T06:38:42.5140830Z     >>> )
2025-09-07T06:38:42.5140830Z 
2025-09-07T06:38:42.5140980Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.6985310Z 
2025-09-07T06:38:42.6986010Z msg = Cannot scrape callname=async_execution in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=6.
2025-09-07T06:38:42.6986220Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.6986230Z 
2025-09-07T06:38:42.6986390Z A decorator for a function indicating that the return value of the function
2025-09-07T06:38:42.6986530Z is guaranteed to be a :class:`~torch.futures.Future` object and this
2025-09-07T06:38:42.6986680Z function can run asynchronously on the RPC callee. More specifically, the
2025-09-07T06:38:42.6986830Z callee extracts the :class:`~torch.futures.Future` returned by the wrapped
2025-09-07T06:38:42.6986980Z function and installs subsequent processing steps as a callback to that
2025-09-07T06:38:42.6987130Z :class:`~torch.futures.Future`. The installed callback will read the value
2025-09-07T06:38:42.6987260Z from the :class:`~torch.futures.Future` when completed and send the
2025-09-07T06:38:42.6987380Z value back as the RPC response. That also means the returned
2025-09-07T06:38:42.6987520Z :class:`~torch.futures.Future` only exists on the callee side and is never
2025-09-07T06:38:42.6987670Z sent through RPC. This decorator is useful when the wrapped function's
2025-09-07T06:38:42.6988020Z (``fn``) execution needs to pause and resume due to, e.g., containing
2025-09-07T06:38:42.6988160Z :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals.
2025-09-07T06:38:42.6988160Z 
2025-09-07T06:38:42.6988310Z .. note:: To enable asynchronous execution, applications must pass the
2025-09-07T06:38:42.6988510Z     function object returned by this decorator to RPC APIs. If RPC detected
2025-09-07T06:38:42.6988660Z     attributes installed by this decorator, it knows that this function
2025-09-07T06:38:42.6988770Z     returns a ``Future`` object and will handle that accordingly.
2025-09-07T06:38:42.6988910Z     However, this does not mean this decorator has to be outmost one when
2025-09-07T06:38:42.6989050Z     defining a function. For example, when combined with ``@staticmethod``
2025-09-07T06:38:42.6989190Z     or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the
2025-09-07T06:38:42.6989330Z     inner decorator to allow the target function be recognized as a static
2025-09-07T06:38:42.6989480Z     or class function. This target function can still execute asynchronously
2025-09-07T06:38:42.6989610Z     because, when accessed, the static or class method preserves attributes
2025-09-07T06:38:42.6989710Z     installed by ``@rpc.functions.async_execution``.
2025-09-07T06:38:42.6989710Z 
2025-09-07T06:38:42.6989720Z 
2025-09-07T06:38:42.6989760Z Example::
2025-09-07T06:38:42.6989890Z     The returned :class:`~torch.futures.Future` object can come from
2025-09-07T06:38:42.6989970Z     :meth:`~torch.distributed.rpc.rpc_async`,
2025-09-07T06:38:42.6990110Z     :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future`
2025-09-07T06:38:42.6990220Z     constructor. The example below shows directly using the
2025-09-07T06:38:42.6990290Z     :class:`~torch.futures.Future` returned by
2025-09-07T06:38:42.6990370Z     :meth:`~torch.futures.Future.then`.
2025-09-07T06:38:42.6990490Z 
2025-09-07T06:38:42.6990560Z     >>> from torch.distributed import rpc
2025-09-07T06:38:42.6990610Z     >>>
2025-09-07T06:38:42.6990670Z     >>> # omitting setup and shutdown RPC
2025-09-07T06:38:42.6990720Z     >>>
2025-09-07T06:38:42.6990770Z     >>> # On all workers
2025-09-07T06:38:42.6990840Z     >>> @rpc.functions.async_execution
2025-09-07T06:38:42.6990900Z     >>> def async_add_chained(to, x, y, z):
2025-09-07T06:38:42.6991030Z     >>>     # This function runs on "worker1" and returns immediately when
2025-09-07T06:38:42.6991140Z     >>>     # the callback is installed through the `then(cb)` API. In the
2025-09-07T06:38:42.6991260Z     >>>     # mean time, the `rpc_async` to "worker2" can run concurrently.
2025-09-07T06:38:42.6991490Z     >>>     # When the return value of that `rpc_async` arrives at
2025-09-07T06:38:42.6991600Z     >>>     # "worker1", "worker1" will run the lambda function accordingly
2025-09-07T06:38:42.6991720Z     >>>     # and set the value for the previously returned `Future`, which
2025-09-07T06:38:42.6991830Z     >>>     # will then trigger RPC to send the result back to "worker0".
2025-09-07T06:38:42.6991930Z     >>>     return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-09-07T06:38:42.6992000Z     >>>         lambda fut: fut.wait() + z
2025-09-07T06:38:42.6992040Z     >>>     )
2025-09-07T06:38:42.6992090Z     >>>
2025-09-07T06:38:42.6992130Z     >>> # On worker0
2025-09-07T06:38:42.6992180Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:42.6992240Z     >>> ret = rpc.rpc_sync(
2025-09-07T06:38:42.6992290Z     >>>     "worker1",
2025-09-07T06:38:42.6992350Z     >>>     async_add_chained,
2025-09-07T06:38:42.6992420Z     >>>     args=("worker2", torch.ones(2), 1, 1)
2025-09-07T06:38:42.6992470Z     >>> )
2025-09-07T06:38:42.6992530Z     >>> print(ret)  # prints tensor([3., 3.])
2025-09-07T06:38:42.6992540Z 
2025-09-07T06:38:42.6992670Z     When combined with TorchScript decorators, this decorator must be the
2025-09-07T06:38:42.6992720Z     outmost one.
2025-09-07T06:38:42.6992720Z 
2025-09-07T06:38:42.6992780Z     >>> from torch import Tensor
2025-09-07T06:38:42.6992870Z     >>> from torch.futures import Future
2025-09-07T06:38:42.6992950Z     >>> from torch.distributed import rpc
2025-09-07T06:38:42.6992990Z     >>>
2025-09-07T06:38:42.6993050Z     >>> # omitting setup and shutdown RPC
2025-09-07T06:38:42.6993090Z     >>>
2025-09-07T06:38:42.6993140Z     >>> # On all workers
2025-09-07T06:38:42.6993190Z     >>> @torch.jit.script
2025-09-07T06:38:42.6993300Z     >>> def script_add(x: Tensor, y: Tensor) -> Tensor:
2025-09-07T06:38:42.6993360Z     >>>     return x + y
2025-09-07T06:38:42.6993400Z     >>>
2025-09-07T06:38:42.6993460Z     >>> @rpc.functions.async_execution
2025-09-07T06:38:42.6993520Z     >>> @torch.jit.script
2025-09-07T06:38:42.6993630Z     >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]:
2025-09-07T06:38:42.6993720Z     >>>     return rpc.rpc_async(to, script_add, (x, y))
2025-09-07T06:38:42.6993760Z     >>>
2025-09-07T06:38:42.6993810Z     >>> # On worker0
2025-09-07T06:38:42.6993860Z     >>> ret = rpc.rpc_sync(
2025-09-07T06:38:42.6993910Z     >>>     "worker1",
2025-09-07T06:38:42.6993960Z     >>>     async_add,
2025-09-07T06:38:42.6994030Z     >>>     args=("worker2", torch.ones(2), 1)
2025-09-07T06:38:42.6994080Z     >>> )
2025-09-07T06:38:42.6994150Z     >>> print(ret)  # prints tensor([2., 2.])
2025-09-07T06:38:42.6994160Z 
2025-09-07T06:38:42.6994290Z     When combined with static or class method, this decorator must be the
2025-09-07T06:38:42.6994330Z     inner one.
2025-09-07T06:38:42.6994330Z 
2025-09-07T06:38:42.6994400Z     >>> from torch.distributed import rpc
2025-09-07T06:38:42.6994440Z     >>>
2025-09-07T06:38:42.6994510Z     >>> # omitting setup and shutdown RPC
2025-09-07T06:38:42.6994550Z     >>>
2025-09-07T06:38:42.6994600Z     >>> # On all workers
2025-09-07T06:38:42.6994660Z     >>> class AsyncExecutionClass:
2025-09-07T06:38:42.6994700Z     >>>
2025-09-07T06:38:42.6994750Z     >>>     @staticmethod
2025-09-07T06:38:42.6994910Z     >>>     @rpc.functions.async_execution
2025-09-07T06:38:42.6994980Z     >>>     def static_async_add(to, x, y, z):
2025-09-07T06:38:42.6995090Z     >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-09-07T06:38:42.6995160Z     >>>             lambda fut: fut.wait() + z
2025-09-07T06:38:42.6995200Z     >>>         )
2025-09-07T06:38:42.6995240Z     >>>
2025-09-07T06:38:42.6995290Z     >>>     @classmethod
2025-09-07T06:38:42.6995350Z     >>>     @rpc.functions.async_execution
2025-09-07T06:38:42.6995430Z     >>>     def class_async_add(cls, to, x, y, z):
2025-09-07T06:38:42.6995500Z     >>>         ret_fut = torch.futures.Future()
2025-09-07T06:38:42.6995590Z     >>>         rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-09-07T06:38:42.6995770Z     >>>             lambda fut: ret_fut.set_result(fut.wait() + z)
2025-09-07T06:38:42.6995810Z     >>>         )
2025-09-07T06:38:42.6995860Z     >>>         return ret_fut
2025-09-07T06:38:42.6995900Z     >>>
2025-09-07T06:38:42.6995970Z     >>>     @rpc.functions.async_execution
2025-09-07T06:38:42.6996050Z     >>>     def bound_async_add(self, to, x, y, z):
2025-09-07T06:38:42.6996160Z     >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-09-07T06:38:42.6996220Z     >>>             lambda fut: fut.wait() + z
2025-09-07T06:38:42.6996270Z     >>>         )
2025-09-07T06:38:42.6996310Z     >>>
2025-09-07T06:38:42.6996360Z     >>> # On worker0
2025-09-07T06:38:42.6996410Z     >>> ret = rpc.rpc_sync(
2025-09-07T06:38:42.6996460Z     >>>     "worker1",
2025-09-07T06:38:42.6996540Z     >>>     AsyncExecutionClass.static_async_add,
2025-09-07T06:38:42.6996610Z     >>>     args=("worker2", torch.ones(2), 1, 2)
2025-09-07T06:38:42.6996650Z     >>> )
2025-09-07T06:38:42.6996710Z     >>> print(ret)  # prints tensor([4., 4.])
2025-09-07T06:38:42.6996760Z     >>>
2025-09-07T06:38:42.6996810Z     >>> ret = rpc.rpc_sync(
2025-09-07T06:38:42.6996850Z     >>>     "worker1",
2025-09-07T06:38:42.6996930Z     >>>     AsyncExecutionClass.class_async_add,
2025-09-07T06:38:42.6997000Z     >>>     args=("worker2", torch.ones(2), 1, 2)
2025-09-07T06:38:42.6997060Z     >>> )
2025-09-07T06:38:42.6997130Z     >>> print(ret)  # prints tensor([4., 4.])
2025-09-07T06:38:42.6997130Z 
2025-09-07T06:38:42.6997230Z     This decorator also works with RRef helpers, i.e., .
2025-09-07T06:38:42.6997310Z     :meth:`torch.distributed.rpc.RRef.rpc_sync`,
2025-09-07T06:38:42.6997460Z     :meth:`torch.distributed.rpc.RRef.rpc_async`, and
2025-09-07T06:38:42.6997560Z     :meth:`torch.distributed.rpc.RRef.remote`.
2025-09-07T06:38:42.6997560Z 
2025-09-07T06:38:42.6997630Z     >>> from torch.distributed import rpc
2025-09-07T06:38:42.6997670Z     >>>
2025-09-07T06:38:42.6997750Z     >>> # reuse the AsyncExecutionClass class above
2025-09-07T06:38:42.6997840Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-09-07T06:38:42.6997970Z     >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2)
2025-09-07T06:38:42.6998040Z     >>> print(ret)  # prints tensor([4., 4.])
2025-09-07T06:38:42.6998090Z     >>>
2025-09-07T06:38:42.6998180Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-09-07T06:38:42.6998330Z     >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait()
2025-09-07T06:38:42.6998390Z     >>> print(ret)  # prints tensor([4., 4.])
2025-09-07T06:38:42.6998440Z     >>>
2025-09-07T06:38:42.6998530Z     >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-09-07T06:38:42.6998670Z     >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here()
2025-09-07T06:38:42.6998740Z     >>> print(ret)  # prints tensor([4., 4.])
2025-09-07T06:38:42.6998740Z 
2025-09-07T06:38:42.6998900Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.6998900Z 
2025-09-07T06:38:42.6999420Z msg = Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=113.
2025-09-07T06:38:42.6999590Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.6999590Z 
2025-09-07T06:38:42.6999710Z Set device mapping between each RPC caller and callee pair. This
2025-09-07T06:38:42.6999820Z function can be called multiple times to incrementally add
2025-09-07T06:38:42.6999890Z device placement configurations.
2025-09-07T06:38:42.6999890Z 
2025-09-07T06:38:42.6999930Z Args:
2025-09-07T06:38:42.6999990Z     to (str): Callee name.
2025-09-07T06:38:42.7000110Z     device_map (Dict of int, str, or torch.device): Device placement
2025-09-07T06:38:42.7000220Z         mappings from this worker to the callee. This map must be
2025-09-07T06:38:42.7000340Z         invertible.
2025-09-07T06:38:42.7000340Z 
2025-09-07T06:38:42.7000380Z Example:
2025-09-07T06:38:42.7000450Z     >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:42.7000490Z     >>> # both workers
2025-09-07T06:38:42.7000550Z     >>> def add(x, y):
2025-09-07T06:38:42.7000630Z     >>>     print(x)  # tensor([1., 1.], device='cuda:1')
2025-09-07T06:38:42.7000690Z     >>>     return x + y, (x + y).to(2)
2025-09-07T06:38:42.7000740Z     >>>
2025-09-07T06:38:42.7000780Z     >>> # on worker 0
2025-09-07T06:38:42.7000870Z     >>> options = TensorPipeRpcBackendOptions(
2025-09-07T06:38:42.7000920Z     >>>     num_worker_threads=8,
2025-09-07T06:38:42.7000990Z     >>>     device_maps={"worker1": {0: 1}}
2025-09-07T06:38:42.7001070Z     >>> # maps worker0's cuda:0 to worker1's cuda:1
2025-09-07T06:38:42.7001110Z     >>> )
2025-09-07T06:38:42.7001190Z     >>> options.set_device_map("worker1", {1: 2})
2025-09-07T06:38:42.7001260Z     >>> # maps worker0's cuda:1 to worker1's cuda:2
2025-09-07T06:38:42.7001300Z     >>>
2025-09-07T06:38:42.7001350Z     >>> rpc.init_rpc(
2025-09-07T06:38:42.7001400Z     >>>     "worker0",
2025-09-07T06:38:42.7001440Z     >>>     rank=0,
2025-09-07T06:38:42.7001490Z     >>>     world_size=2,
2025-09-07T06:38:42.7001570Z     >>>     backend=rpc.BackendType.TENSORPIPE,
2025-09-07T06:38:42.7001670Z     >>>     rpc_backend_options=options
2025-09-07T06:38:42.7001710Z     >>> )
2025-09-07T06:38:42.7001750Z     >>>
2025-09-07T06:38:42.7001800Z     >>> x = torch.ones(2)
2025-09-07T06:38:42.7001900Z     >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1))
2025-09-07T06:38:42.7002010Z     >>> # The first argument will be moved to cuda:1 on worker1. When
2025-09-07T06:38:42.7002170Z     >>> # sending the return value back, it will follow the invert of
2025-09-07T06:38:42.7002280Z     >>> # the device map, and hence will be moved back to cuda:0 and
2025-09-07T06:38:42.7002340Z     >>> # cuda:1 on worker0
2025-09-07T06:38:42.7002430Z     >>> print(rets[0])  # tensor([2., 2.], device='cuda:0')
2025-09-07T06:38:42.7002520Z     >>> print(rets[1])  # tensor([2., 2.], device='cuda:1')
2025-09-07T06:38:42.7002520Z 
2025-09-07T06:38:42.7002670Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.8831520Z 
2025-09-07T06:38:42.8832240Z msg = Cannot scrape callname=_server_process_global_profile in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19.
2025-09-07T06:38:42.8833010Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.8833240Z 
2025-09-07T06:38:42.8833390Z It has the same API as ``torch.autograd.profiler.profile`` class,
2025-09-07T06:38:42.8833750Z except that it enables profiling on all threads running RPC server request callbacks.
2025-09-07T06:38:42.8834000Z 
2025-09-07T06:38:42.8834180Z Context manager that manages autograd profiler state and holds a summary of results.
2025-09-07T06:38:42.8834570Z Under the hood it just records events of functions being executed in C++ and
2025-09-07T06:38:42.8834930Z exposes those events to Python. You can wrap any code into it and it will
2025-09-07T06:38:42.8835470Z only report runtime of PyTorch functions.
2025-09-07T06:38:42.8835780Z Note: profiler is thread local and is automatically propagated into the async tasks
2025-09-07T06:38:42.8836010Z 
2025-09-07T06:38:42.8836060Z Args:
2025-09-07T06:38:42.8836290Z     enabled (bool, optional): Setting this to False makes this context manager a no-op.
2025-09-07T06:38:42.8836570Z         Default: ``True``.
2025-09-07T06:38:42.8836680Z 
2025-09-07T06:38:42.8836860Z     use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API.
2025-09-07T06:38:42.8837220Z         Adds approximately 4us of overhead to each tensor operation.
2025-09-07T06:38:42.8837460Z         Default: ``False``
2025-09-07T06:38:42.8842260Z 
2025-09-07T06:38:42.8842410Z     record_shapes (bool, optional): If shapes recording is set, information
2025-09-07T06:38:42.8842970Z         about input dimensions will be collected. This allows one to see which
2025-09-07T06:38:42.8843310Z         dimensions have been used under the hood and further group by them
2025-09-07T06:38:42.8843670Z         using prof.key_averages(group_by_input_shape=True). Please note that
2025-09-07T06:38:42.8844020Z         shape recording might skew your profiling data. It is recommended to
2025-09-07T06:38:42.8844360Z         use separate runs with and without shape recording to validate the timing.
2025-09-07T06:38:42.8844710Z         Most likely the skew will be negligible for bottom most events (in a case
2025-09-07T06:38:42.8845050Z         of nested function calls). But for higher level functions the total
2025-09-07T06:38:42.8845370Z         self cpu time might be artificially increased because of the shape
2025-09-07T06:38:42.8845620Z         collection.
2025-09-07T06:38:42.8845710Z 
2025-09-07T06:38:42.8845870Z     profile_memory (bool, optional): Whether to report memory usage, default: ``False``
2025-09-07T06:38:42.8846110Z 
2025-09-07T06:38:42.8846170Z .. warning::
2025-09-07T06:38:42.8846370Z     Enabling memory profiling incurs additional profiler overhead
2025-09-07T06:38:42.8846560Z 
2025-09-07T06:38:42.8846610Z .. warning::
2025-09-07T06:38:42.8846910Z     Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`),
2025-09-07T06:38:42.8847270Z     one cannot use the profiler with ``use_cuda = True`` to benchmark
2025-09-07T06:38:42.8847600Z     DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading,
2025-09-07T06:38:42.8847900Z     please use ``use_cuda = False`` or ``num_workers = 0``.
2025-09-07T06:38:42.8848110Z 
2025-09-07T06:38:42.8848170Z Example:
2025-09-07T06:38:42.8848290Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:42.8848450Z     >>> # On worker 0:
2025-09-07T06:38:42.8848580Z     >>> import torch
2025-09-07T06:38:42.8848740Z     >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:42.8848970Z     >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-09-07T06:38:42.8849190Z     >>> x, y = torch.tensor(1), torch.tensor(2)
2025-09-07T06:38:42.8849400Z     >>> outer_profile_rref = rpc.remote(
2025-09-07T06:38:42.8849630Z     ...     dst_worker_name, rpc._server_process_global_profile
2025-09-07T06:38:42.8849840Z     ... )
2025-09-07T06:38:42.8849990Z     >>> outer_profile_rref.rpc_sync().__enter__()
2025-09-07T06:38:42.8850220Z     >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y))
2025-09-07T06:38:42.8850440Z     >>> inner_profile_rref = rpc.remote(
2025-09-07T06:38:42.8850660Z     ...     dst_worker_name, rpc._server_process_global_profile
2025-09-07T06:38:42.8850870Z     ... )
2025-09-07T06:38:42.8851020Z     >>> inner_profile_rref.rpc_sync().__enter__()
2025-09-07T06:38:42.8851250Z     >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y))
2025-09-07T06:38:42.8851510Z     >>> inner_profile_rref.rpc_sync().__exit__(None, None, None)
2025-09-07T06:38:42.8851840Z     >>> outer_profile_rref.rpc_sync().__exit__(None, None, None)
2025-09-07T06:38:42.8852110Z     >>> print(inner_profile_rref.rpc_sync().key_averages())
2025-09-07T06:38:42.8852460Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-09-07T06:38:42.8852870Z     Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-09-07T06:38:42.8853270Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-09-07T06:38:42.8853600Z     sub        85.06%           76.275us         100.00%          89.667us         89.667us         1
2025-09-07T06:38:42.8853900Z     empty      14.94%           13.392us         14.94%           13.392us         13.392us         1
2025-09-07T06:38:42.8854240Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-09-07T06:38:42.8854570Z     Self CPU time total: 89.667us
2025-09-07T06:38:42.8854790Z     >>> print(outer_profile_rref.rpc_sync().key_averages())
2025-09-07T06:38:42.8855100Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-09-07T06:38:42.8855490Z     Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-09-07T06:38:42.8855880Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-09-07T06:38:42.8856200Z     sub        35.65%           76.275us         41.91%           89.667us         89.667us         1
2025-09-07T06:38:42.8856510Z     empty      12.67%           27.101us         12.67%           27.101us         13.551us         2
2025-09-07T06:38:42.8856800Z     add        51.68%           110.550us        58.09%           124.259us        124.259us        1
2025-09-07T06:38:42.8857130Z     ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-09-07T06:38:42.8857400Z     Self CPU time total: 213.926us
2025-09-07T06:38:42.8857580Z     >>> rpc.shutdown()
2025-09-07T06:38:42.8857670Z 
2025-09-07T06:38:42.8857720Z     >>> # On worker 1:
2025-09-07T06:38:42.8857880Z     >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:42.8858160Z     >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-09-07T06:38:42.8858410Z     >>> # wait for worker 0 to finish work, and then shutdown.
2025-09-07T06:38:42.8858620Z     >>> rpc.shutdown()
2025-09-07T06:38:42.8858720Z 
2025-09-07T06:38:42.8858870Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.8859090Z 
2025-09-07T06:38:42.8859530Z msg = Cannot scrape callname=record_function in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/profiler.py line=734.
2025-09-07T06:38:42.8860140Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.8860580Z Context manager/function decorator that adds a label to a code block/function when running autograd profiler.
2025-09-07T06:38:42.8860990Z     Label will only appear if CPU activity tracing is enabled.
2025-09-07T06:38:42.8861170Z 
2025-09-07T06:38:42.8861250Z     It is useful when tracing the code profile.
2025-09-07T06:38:42.8861400Z 
2025-09-07T06:38:42.8861440Z     Args:
2025-09-07T06:38:42.8861600Z         name (str): Label assigned to the block of code.
2025-09-07T06:38:42.8861860Z         node_id (int): ID of node, for distributed profiling. Unset in
2025-09-07T06:38:42.8862100Z         non-distributed cases.
2025-09-07T06:38:42.8862210Z 
2025-09-07T06:38:42.8862260Z     Example:
2025-09-07T06:38:42.8862440Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER)
2025-09-07T06:38:42.8862700Z         >>> x = torch.randn((1, 1), requires_grad=True)
2025-09-07T06:38:42.8862950Z         >>> with torch.autograd.profiler.profile() as prof:
2025-09-07T06:38:42.8863160Z         ...     y = x**2
2025-09-07T06:38:42.8863360Z         ...     with torch.autograd.profiler.record_function(
2025-09-07T06:38:42.8863570Z         ...         "label-z"
2025-09-07T06:38:42.8863810Z         ...     ):  # label the block
2025-09-07T06:38:42.8863980Z         ...         z = y**3
2025-09-07T06:38:42.8864140Z         ...     y.backward()
2025-09-07T06:38:42.8864300Z         >>> # xdoctest: +IGNORE_WANT
2025-09-07T06:38:42.8864500Z         >>> # NOTE: some columns were removed for brevity
2025-09-07T06:38:42.8864780Z         >>> print(prof.key_averages().table(sort_by="self_cpu_time_total"))
2025-09-07T06:38:42.8865090Z         -----------------------------------  ---------------  ---------------  ---------------
2025-09-07T06:38:42.8865400Z         Name                                 Self CPU total %  CPU time avg     Number of Calls
2025-09-07T06:38:42.8865710Z         -----------------------------------  ---------------  ---------------  ---------------
2025-09-07T06:38:42.8866080Z         pow                                  60.77%           47.470us         3
2025-09-07T06:38:42.8866320Z         mul                                  21.73%           25.465us         2
2025-09-07T06:38:42.8866570Z         PowBackward0                         12.03%           121.891us        1
2025-09-07T06:38:42.8866880Z         torch::autograd::AccumulateGrad      2.70%            6.324us          1
2025-09-07T06:38:42.8867170Z         label-z                              2.13%            12.421us         1
2025-09-07T06:38:42.8867450Z         torch::autograd::GraphRoot           0.64%            1.503us          1
2025-09-07T06:38:42.8867760Z         -----------------------------------  ---------------  ---------------  ---------------
2025-09-07T06:38:42.8868010Z         Self CPU time total: 234.344us
2025-09-07T06:38:42.8868190Z         CUDA time total: 0.000us
2025-09-07T06:38:42.8868310Z 
2025-09-07T06:38:42.8868350Z     
2025-09-07T06:38:42.8868570Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.8868790Z 
2025-09-07T06:38:42.8869240Z msg = Cannot scrape callname=assoc_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=245.
2025-09-07T06:38:42.8869930Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.8870280Z Return a new dict with new, potentially nested, key value pair
2025-09-07T06:38:42.8870460Z 
2025-09-07T06:38:42.8870510Z     >>> purchase = {
2025-09-07T06:38:42.8870660Z     ...     "name": "Alice",
2025-09-07T06:38:42.8870940Z     ...     "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-09-07T06:38:42.8871190Z     ...     "credit card": "5555-1234-1234-1234",
2025-09-07T06:38:42.8871370Z     ... }
2025-09-07T06:38:42.8871560Z     >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00])  # doctest: +SKIP
2025-09-07T06:38:42.8871820Z     {'credit card': '5555-1234-1234-1234',
2025-09-07T06:38:42.8871990Z      'name': 'Alice',
2025-09-07T06:38:42.8872190Z      'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}}
2025-09-07T06:38:42.8872400Z     
2025-09-07T06:38:42.8872620Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.8872840Z 
2025-09-07T06:38:42.8873290Z msg = Cannot scrape callname=update_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=261.
2025-09-07T06:38:42.8873950Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.8874260Z Update value in a (potentially) nested dictionary
2025-09-07T06:38:42.8874420Z 
2025-09-07T06:38:42.8874460Z     inputs:
2025-09-07T06:38:42.8874600Z     d - dictionary on which to operate
2025-09-07T06:38:42.8874860Z     keys - list or tuple giving the location of the value to be changed in d
2025-09-07T06:38:42.8875130Z     func - function to operate on that value
2025-09-07T06:38:42.8875270Z 
2025-09-07T06:38:42.8875390Z     If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the
2025-09-07T06:38:42.8875750Z     original dictionary with v replaced by func(v), but does not mutate the
2025-09-07T06:38:42.8876020Z     original dictionary.
2025-09-07T06:38:42.8876130Z 
2025-09-07T06:38:42.8876270Z     If k0 is not a key in d, update_in creates nested dictionaries to the depth
2025-09-07T06:38:42.8876590Z     specified by the keys, with the innermost value set to func(default).
2025-09-07T06:38:42.8876800Z 
2025-09-07T06:38:42.8876850Z     >>> inc = lambda x: x + 1
2025-09-07T06:38:42.8877020Z     >>> update_in({"a": 0}, ["a"], inc)
2025-09-07T06:38:42.8877190Z     {'a': 1}
2025-09-07T06:38:42.8877260Z 
2025-09-07T06:38:42.8877320Z     >>> transaction = {
2025-09-07T06:38:42.8877460Z     ...     "name": "Alice",
2025-09-07T06:38:42.8877690Z     ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-09-07T06:38:42.8877990Z     ...     "credit card": "5555-1234-1234-1234",
2025-09-07T06:38:42.8878170Z     ... }
2025-09-07T06:38:42.8878360Z     >>> update_in(transaction, ["purchase", "costs"], sum)  # doctest: +SKIP
2025-09-07T06:38:42.8878630Z     {'credit card': '5555-1234-1234-1234',
2025-09-07T06:38:42.8878810Z      'name': 'Alice',
2025-09-07T06:38:42.8879000Z      'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}}
2025-09-07T06:38:42.8879170Z 
2025-09-07T06:38:42.8879240Z     >>> # updating a value when k0 is not in d
2025-09-07T06:38:42.8879450Z     >>> update_in({}, [1, 2, 3], str, default="bar")
2025-09-07T06:38:42.8879640Z     {1: {2: {3: 'bar'}}}
2025-09-07T06:38:42.8879810Z     >>> update_in({1: "foo"}, [2, 3, 4], inc, 0)
2025-09-07T06:38:42.8879990Z     {1: 'foo', 2: {3: {4: 1}}}
2025-09-07T06:38:42.8880140Z     
2025-09-07T06:38:42.8880350Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.9005130Z 
2025-09-07T06:38:42.9005800Z msg = Cannot scrape callname=get_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=320.
2025-09-07T06:38:42.9006510Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.9006990Z Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys.
2025-09-07T06:38:42.9007170Z 
2025-09-07T06:38:42.9007330Z     If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless
2025-09-07T06:38:42.9007640Z     ``no_default`` is specified, then it raises KeyError or IndexError.
2025-09-07T06:38:42.9007850Z 
2025-09-07T06:38:42.9008020Z     ``get_in`` is a generalization of ``operator.getitem`` for nested data
2025-09-07T06:38:42.9008310Z     structures such as dictionaries and lists.
2025-09-07T06:38:42.9008470Z 
2025-09-07T06:38:42.9008520Z     >>> transaction = {
2025-09-07T06:38:42.9008670Z     ...     "name": "Alice",
2025-09-07T06:38:42.9008920Z     ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-09-07T06:38:42.9009180Z     ...     "credit card": "5555-1234-1234-1234",
2025-09-07T06:38:42.9009360Z     ... }
2025-09-07T06:38:42.9009510Z     >>> get_in(["purchase", "items", 0], transaction)
2025-09-07T06:38:42.9009700Z     'Apple'
2025-09-07T06:38:42.9009830Z     >>> get_in(["name"], transaction)
2025-09-07T06:38:42.9010000Z     'Alice'
2025-09-07T06:38:42.9010140Z     >>> get_in(["purchase", "total"], transaction)
2025-09-07T06:38:42.9010380Z     >>> get_in(["purchase", "items", "apple"], transaction)
2025-09-07T06:38:42.9010620Z     >>> get_in(["purchase", "items", 10], transaction)
2025-09-07T06:38:42.9010850Z     >>> get_in(["purchase", "total"], transaction, 0)
2025-09-07T06:38:42.9011040Z     0
2025-09-07T06:38:42.9011160Z     >>> get_in(["y"], {}, no_default=True)
2025-09-07T06:38:42.9011350Z     Traceback (most recent call last):
2025-09-07T06:38:42.9011520Z         ...
2025-09-07T06:38:42.9011640Z     KeyError: 'y'
2025-09-07T06:38:42.9011730Z 
2025-09-07T06:38:42.9011770Z     See Also:
2025-09-07T06:38:42.9011890Z         itertoolz.get
2025-09-07T06:38:42.9012030Z         operator.getitem
2025-09-07T06:38:42.9012170Z     
2025-09-07T06:38:42.9012440Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.9012670Z 
2025-09-07T06:38:42.9013120Z msg = Cannot scrape callname=groupby in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=373.
2025-09-07T06:38:42.9013780Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.9014070Z Group a collection by a key function
2025-09-07T06:38:42.9014200Z 
2025-09-07T06:38:42.9014300Z     >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"]
2025-09-07T06:38:42.9014540Z     >>> groupby(len, names)  # doctest: +SKIP
2025-09-07T06:38:42.9014780Z     {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']}
2025-09-07T06:38:42.9015050Z 
2025-09-07T06:38:42.9015110Z     >>> iseven = lambda x: x % 2 == 0
2025-09-07T06:38:42.9015350Z     >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8])  # doctest: +SKIP
2025-09-07T06:38:42.9015580Z     {False: [1, 3, 5, 7], True: [2, 4, 6, 8]}
2025-09-07T06:38:42.9015710Z 
2025-09-07T06:38:42.9015800Z     Non-callable keys imply grouping on a member.
2025-09-07T06:38:42.9015950Z 
2025-09-07T06:38:42.9015990Z     >>> groupby(
2025-09-07T06:38:42.9016120Z     ...     "gender",
2025-09-07T06:38:42.9016250Z     ...     [
2025-09-07T06:38:42.9016400Z     ...         {"name": "Alice", "gender": "F"},
2025-09-07T06:38:42.9016600Z     ...         {"name": "Bob", "gender": "M"},
2025-09-07T06:38:42.9016800Z     ...         {"name": "Charlie", "gender": "M"},
2025-09-07T06:38:42.9016990Z     ...     ],
2025-09-07T06:38:42.9017120Z     ... )  # doctest:+SKIP
2025-09-07T06:38:42.9017280Z     {'F': [{'gender': 'F', 'name': 'Alice'}],
2025-09-07T06:38:42.9017480Z      'M': [{'gender': 'M', 'name': 'Bob'},
2025-09-07T06:38:42.9017680Z            {'gender': 'M', 'name': 'Charlie'}]}
2025-09-07T06:38:42.9017810Z 
2025-09-07T06:38:42.9017900Z     Not to be confused with ``itertools.groupby``
2025-09-07T06:38:42.9018040Z 
2025-09-07T06:38:42.9018090Z     See Also:
2025-09-07T06:38:42.9018210Z         countby
2025-09-07T06:38:42.9018370Z     
2025-09-07T06:38:42.9018580Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.9018810Z 
2025-09-07T06:38:42.9019190Z msg = Cannot scrape callname=SequentialLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=811.
2025-09-07T06:38:42.9019820Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.9020250Z Contains a list of schedulers expected to be called sequentially during the optimization process.
2025-09-07T06:38:42.9020510Z 
2025-09-07T06:38:42.9020730Z     Specifically, the schedulers will be called according to the milestone points, which should provide exact
2025-09-07T06:38:42.9021150Z     intervals by which each scheduler should be called at a given epoch.
2025-09-07T06:38:42.9021360Z 
2025-09-07T06:38:42.9021400Z     Args:
2025-09-07T06:38:42.9021550Z         optimizer (Optimizer): Wrapped optimizer.
2025-09-07T06:38:42.9021790Z         schedulers (list): List of chained schedulers.
2025-09-07T06:38:42.9022070Z         milestones (list): List of integers that reflects milestone points.
2025-09-07T06:38:42.9022370Z         last_epoch (int): The index of last epoch. Default: -1.
2025-09-07T06:38:42.9022540Z 
2025-09-07T06:38:42.9022590Z     Example:
2025-09-07T06:38:42.9022720Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:42.9022920Z         >>> # Assuming optimizer uses lr = 0.05 for all groups
2025-09-07T06:38:42.9023140Z         >>> # lr = 0.005     if epoch == 0
2025-09-07T06:38:42.9023330Z         >>> # lr = 0.005     if epoch == 1
2025-09-07T06:38:42.9023520Z         >>> # lr = 0.005     if epoch == 2
2025-09-07T06:38:42.9023690Z         >>> # ...
2025-09-07T06:38:42.9023830Z         >>> # lr = 0.05      if epoch == 20
2025-09-07T06:38:42.9024010Z         >>> # lr = 0.045     if epoch == 21
2025-09-07T06:38:42.9024230Z         >>> # lr = 0.0405    if epoch == 22
2025-09-07T06:38:42.9024480Z         >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20)
2025-09-07T06:38:42.9024770Z         >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9)
2025-09-07T06:38:42.9025000Z         >>> scheduler = SequentialLR(
2025-09-07T06:38:42.9025170Z         ...     optimizer,
2025-09-07T06:38:42.9025400Z         ...     schedulers=[scheduler1, scheduler2],
2025-09-07T06:38:42.9025600Z         ...     milestones=[20],
2025-09-07T06:38:42.9025750Z         ... )
2025-09-07T06:38:42.9025890Z         >>> for epoch in range(100):
2025-09-07T06:38:42.9026060Z         >>>     train(...)
2025-09-07T06:38:42.9026200Z         >>>     validate(...)
2025-09-07T06:38:42.9026460Z         >>>     scheduler.step()
2025-09-07T06:38:42.9026580Z 
2025-09-07T06:38:42.9026690Z     .. image:: ../scripts/lr_scheduler_images/SequentialLR.png
2025-09-07T06:38:42.9026900Z     
2025-09-07T06:38:42.9027110Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:42.9027330Z 
2025-09-07T06:38:42.9027740Z msg = Cannot scrape callname=ReduceLROnPlateau in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1236.
2025-09-07T06:38:42.9028350Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:42.9028670Z Reduce learning rate when a metric has stopped improving.
2025-09-07T06:38:42.9028850Z 
2025-09-07T06:38:42.9028970Z     Models often benefit from reducing the learning rate by a factor
2025-09-07T06:38:42.9029270Z     of 2-10 once learning stagnates. This scheduler reads a metrics
2025-09-07T06:38:42.9029570Z     quantity and if no improvement is seen for a 'patience' number
2025-09-07T06:38:42.9029820Z     of epochs, the learning rate is reduced.
2025-09-07T06:38:42.9029960Z 
2025-09-07T06:38:42.9030010Z     Args:
2025-09-07T06:38:42.9030150Z         optimizer (Optimizer): Wrapped optimizer.
2025-09-07T06:38:42.9030390Z         mode (str): One of `min`, `max`. In `min` mode, lr will
2025-09-07T06:38:42.9030680Z             be reduced when the quantity monitored has stopped
2025-09-07T06:38:42.9030940Z             decreasing; in `max` mode it will be reduced when the
2025-09-07T06:38:42.9031220Z             quantity monitored has stopped increasing. Default: 'min'.
2025-09-07T06:38:42.9031510Z         factor (float): Factor by which the learning rate will be
2025-09-07T06:38:42.9031780Z             reduced. new_lr = lr * factor. Default: 0.1.
2025-09-07T06:38:42.9032060Z         patience (int): The number of allowed epochs with no improvement after
2025-09-07T06:38:42.9032340Z             which the learning rate will be reduced.
2025-09-07T06:38:42.9032620Z             For example, consider the case of having no patience (`patience = 0`).
2025-09-07T06:38:42.9033040Z             In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-09-07T06:38:42.9033450Z             In the second epoch, if the performance is worse than the baseline,
2025-09-07T06:38:42.9033740Z             we have what is considered an intolerable epoch.
2025-09-07T06:38:42.9034050Z             Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-09-07T06:38:42.9034380Z             the learning rate is reduced at the end of this epoch.
2025-09-07T06:38:42.9034740Z             From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-09-07T06:38:42.9035190Z             if the performance is worse than the baseline. If the performance improves or remains the same,
2025-09-07T06:38:42.9035510Z             the learning rate is not adjusted.
2025-09-07T06:38:42.9035700Z             Default: 10.
2025-09-07T06:38:42.9041380Z         threshold (float): Threshold for measuring the new optimum,
2025-09-07T06:38:42.9041680Z             to only focus on significant changes. Default: 1e-4.
2025-09-07T06:38:42.9042080Z         threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-09-07T06:38:42.9042360Z             dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-09-07T06:38:42.9042610Z             mode or best * ( 1 - threshold ) in `min` mode.
2025-09-07T06:38:42.9042860Z             In `abs` mode, dynamic_threshold = best + threshold in
2025-09-07T06:38:42.9043130Z             `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-09-07T06:38:42.9043420Z         cooldown (int): Number of epochs to wait before resuming
2025-09-07T06:38:42.9043690Z             normal operation after lr has been reduced. Default: 0.
2025-09-07T06:38:42.9043970Z         min_lr (float or list): A scalar or a list of scalars. A
2025-09-07T06:38:42.9044320Z             lower bound on the learning rate of all param groups
2025-09-07T06:38:42.9044560Z             or each group respectively. Default: 0.
2025-09-07T06:38:42.9044820Z         eps (float): Minimal decay applied to lr. If the difference
2025-09-07T06:38:42.9045100Z             between new and old lr is smaller than eps, the update is
2025-09-07T06:38:42.9045340Z             ignored. Default: 1e-8.
2025-09-07T06:38:42.9045470Z 
2025-09-07T06:38:42.9045510Z     Example:
2025-09-07T06:38:42.9045640Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:42.9045890Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-09-07T06:38:42.9046190Z         >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-09-07T06:38:42.9046410Z         >>> for epoch in range(10):
2025-09-07T06:38:42.9046580Z         >>>     train(...)
2025-09-07T06:38:42.9046740Z         >>>     val_loss = validate(...)
2025-09-07T06:38:42.9046960Z         >>> # Note that step should be called after validate()
2025-09-07T06:38:42.9047180Z         >>>     scheduler.step(val_loss)
2025-09-07T06:38:42.9047310Z 
2025-09-07T06:38:42.9047430Z     .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-09-07T06:38:42.9047650Z     
2025-09-07T06:38:42.9047960Z Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-09-07T06:38:42.9048290Z 
2025-09-07T06:38:42.9048350Z     scheduler.step(val_loss)
2025-09-07T06:38:42.9048500Z    ^
2025-09-07T06:38:42.9048940Z msg = Cannot scrape callname=CyclicLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1433.
2025-09-07T06:38:42.9049560Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:42.9049980Z Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR).
2025-09-07T06:38:42.9050240Z 
2025-09-07T06:38:42.9050410Z     The policy cycles the learning rate between two boundaries with a constant frequency,
2025-09-07T06:38:42.9050800Z     as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_.
2025-09-07T06:38:42.9051160Z     The distance between the two boundaries can be scaled on a per-iteration
2025-09-07T06:38:42.9051420Z     or per-cycle basis.
2025-09-07T06:38:42.9051520Z 
2025-09-07T06:38:42.9051670Z     Cyclical learning rate policy changes the learning rate after every batch.
2025-09-07T06:38:42.9052000Z     `step` should be called after a batch has been used for training.
2025-09-07T06:38:42.9052190Z 
2025-09-07T06:38:42.9052320Z     This class has three built-in policies, as put forth in the paper:
2025-09-07T06:38:42.9052510Z 
2025-09-07T06:38:42.9052640Z     * "triangular": A basic triangular cycle without amplitude scaling.
2025-09-07T06:38:42.9053000Z     * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle.
2025-09-07T06:38:42.9053440Z     * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}`
2025-09-07T06:38:42.9053760Z       at each cycle iteration.
2025-09-07T06:38:42.9053870Z 
2025-09-07T06:38:42.9054050Z     This implementation was adapted from the github repo: `bckenstler/CLR`_
2025-09-07T06:38:42.9054260Z 
2025-09-07T06:38:42.9054310Z     Args:
2025-09-07T06:38:42.9054460Z         optimizer (Optimizer): Wrapped optimizer.
2025-09-07T06:38:42.9054720Z         base_lr (float or list): Initial learning rate which is the
2025-09-07T06:38:42.9055000Z             lower boundary in the cycle for each parameter group.
2025-09-07T06:38:42.9055290Z         max_lr (float or list): Upper learning rate boundaries in the cycle
2025-09-07T06:38:42.9055560Z             for each parameter group. Functionally,
2025-09-07T06:38:42.9055800Z             it defines the cycle amplitude (max_lr - base_lr).
2025-09-07T06:38:42.9056040Z             The lr at any cycle is the sum of base_lr
2025-09-07T06:38:42.9056270Z             and some scaling of the amplitude; therefore
2025-09-07T06:38:42.9056570Z             max_lr may not actually be reached depending on
2025-09-07T06:38:42.9056780Z             scaling function.
2025-09-07T06:38:42.9057000Z         step_size_up (int): Number of training iterations in the
2025-09-07T06:38:42.9057250Z             increasing half of a cycle. Default: 2000
2025-09-07T06:38:42.9057500Z         step_size_down (int): Number of training iterations in the
2025-09-07T06:38:42.9057780Z             decreasing half of a cycle. If step_size_down is None,
2025-09-07T06:38:42.9058020Z             it is set to step_size_up. Default: None
2025-09-07T06:38:42.9058270Z         mode (str): One of {triangular, triangular2, exp_range}.
2025-09-07T06:38:42.9058530Z             Values correspond to policies detailed above.
2025-09-07T06:38:42.9058770Z             If scale_fn is not None, this argument is ignored.
2025-09-07T06:38:42.9058990Z             Default: 'triangular'
2025-09-07T06:38:42.9059200Z         gamma (float): Constant in 'exp_range' scaling function:
2025-09-07T06:38:42.9059440Z             gamma**(cycle iterations)
2025-09-07T06:38:42.9059610Z             Default: 1.0
2025-09-07T06:38:42.9059820Z         scale_fn (function): Custom scaling policy defined by a single
2025-09-07T06:38:42.9060070Z             argument lambda function, where
2025-09-07T06:38:42.9060330Z             0 <= scale_fn(x) <= 1 for all x >= 0.
2025-09-07T06:38:42.9060540Z             If specified, then 'mode' is ignored.
2025-09-07T06:38:42.9060720Z             Default: None
2025-09-07T06:38:42.9060900Z         scale_mode (str): {'cycle', 'iterations'}.
2025-09-07T06:38:42.9061120Z             Defines whether scale_fn is evaluated on
2025-09-07T06:38:42.9061360Z             cycle number or cycle iterations (training
2025-09-07T06:38:42.9061580Z             iterations since start of cycle).
2025-09-07T06:38:42.9061770Z             Default: 'cycle'
2025-09-07T06:38:42.9061990Z         cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-09-07T06:38:42.9062290Z             to learning rate between 'base_momentum' and 'max_momentum'.
2025-09-07T06:38:42.9062510Z             Default: True
2025-09-07T06:38:42.9062740Z         base_momentum (float or list): Lower momentum boundaries in the cycle
2025-09-07T06:38:42.9063070Z             for each parameter group. Note that momentum is cycled inversely
2025-09-07T06:38:42.9063360Z             to learning rate; at the peak of a cycle, momentum is
2025-09-07T06:38:42.9063620Z             'base_momentum' and learning rate is 'max_lr'.
2025-09-07T06:38:42.9063820Z             Default: 0.8
2025-09-07T06:38:42.9064040Z         max_momentum (float or list): Upper momentum boundaries in the cycle
2025-09-07T06:38:42.9064320Z             for each parameter group. Functionally,
2025-09-07T06:38:42.9064580Z             it defines the cycle amplitude (max_momentum - base_momentum).
2025-09-07T06:38:42.9064880Z             The momentum at any cycle is the difference of max_momentum
2025-09-07T06:38:42.9065140Z             and some scaling of the amplitude; therefore
2025-09-07T06:38:42.9065380Z             base_momentum may not actually be reached depending on
2025-09-07T06:38:42.9065660Z             scaling function. Note that momentum is cycled inversely
2025-09-07T06:38:42.9066000Z             to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-09-07T06:38:42.9066260Z             and learning rate is 'base_lr'
2025-09-07T06:38:42.9066440Z             Default: 0.9
2025-09-07T06:38:42.9066680Z         last_epoch (int): The index of the last batch. This parameter is used when
2025-09-07T06:38:42.9067010Z             resuming a training job. Since `step()` should be invoked after each
2025-09-07T06:38:42.9067340Z             batch instead of after each epoch, this number represents the total
2025-09-07T06:38:42.9067670Z             number of *batches* computed, not the total number of epochs computed.
2025-09-07T06:38:42.9068100Z             When last_epoch=-1, the schedule is started from the beginning.
2025-09-07T06:38:42.9068410Z             Default: -1
2025-09-07T06:38:42.9068510Z 
2025-09-07T06:38:42.9068560Z     Example:
2025-09-07T06:38:42.9068690Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:42.9068950Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-09-07T06:38:42.9069260Z         >>> scheduler = torch.optim.lr_scheduler.CyclicLR(
2025-09-07T06:38:42.9069480Z         ...     optimizer,
2025-09-07T06:38:42.9069630Z         ...     base_lr=0.01,
2025-09-07T06:38:42.9069790Z         ...     max_lr=0.1,
2025-09-07T06:38:42.9069950Z         ...     step_size_up=10,
2025-09-07T06:38:42.9070110Z         ... )
2025-09-07T06:38:42.9070280Z         >>> data_loader = torch.utils.data.DataLoader(...)
2025-09-07T06:38:42.9070500Z         >>> for epoch in range(10):
2025-09-07T06:38:42.9070690Z         >>>     for batch in data_loader:
2025-09-07T06:38:42.9070880Z         >>>         train_batch(...)
2025-09-07T06:38:42.9071050Z         >>>         scheduler.step()
2025-09-07T06:38:42.9071180Z 
2025-09-07T06:38:42.9071280Z     .. image:: ../scripts/lr_scheduler_images/CyclicLR.png
2025-09-07T06:38:42.9071450Z 
2025-09-07T06:38:42.9071650Z     .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186
2025-09-07T06:38:42.9072010Z     .. _bckenstler/CLR: https://github.com/bckenstler/CLR
2025-09-07T06:38:42.9072240Z     
2025-09-07T06:38:42.9072460Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:43.8658040Z 
2025-09-07T06:38:43.8658780Z msg = Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1725.
2025-09-07T06:38:43.8659540Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:43.8659930Z Set the learning rate of each parameter group using a cosine annealing schedule.
2025-09-07T06:38:43.8660160Z 
2025-09-07T06:38:43.8660290Z     The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}`
2025-09-07T06:38:43.8660630Z     is the number of epochs since the last restart and :math:`T_{i}` is the number
2025-09-07T06:38:43.8660930Z     of epochs between two warm restarts in SGDR:
2025-09-07T06:38:43.8661080Z 
2025-09-07T06:38:43.8661140Z     .. math::
2025-09-07T06:38:43.8661350Z         \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 +
2025-09-07T06:38:43.8661630Z         \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right)
2025-09-07T06:38:43.8661790Z 
2025-09-07T06:38:43.8661900Z     When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`.
2025-09-07T06:38:43.8662190Z     When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`.
2025-09-07T06:38:43.8662370Z 
2025-09-07T06:38:43.8662430Z     It has been proposed in
2025-09-07T06:38:43.8662640Z     `SGDR: Stochastic Gradient Descent with Warm Restarts`_.
2025-09-07T06:38:43.8662810Z 
2025-09-07T06:38:43.8662860Z     Args:
2025-09-07T06:38:43.8663010Z         optimizer (Optimizer): Wrapped optimizer.
2025-09-07T06:38:43.8663260Z         T_0 (int): Number of iterations until the first restart.
2025-09-07T06:38:43.8663710Z         T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1.
2025-09-07T06:38:43.8664070Z         eta_min (float, optional): Minimum learning rate. Default: 0.
2025-09-07T06:38:43.8664390Z         last_epoch (int, optional): The index of the last epoch. Default: -1.
2025-09-07T06:38:43.8664590Z 
2025-09-07T06:38:43.8664690Z     .. _SGDR\: Stochastic Gradient Descent with Warm Restarts:
2025-09-07T06:38:43.8664930Z         https://arxiv.org/abs/1608.03983
2025-09-07T06:38:43.8665070Z 
2025-09-07T06:38:43.8665120Z     Example:
2025-09-07T06:38:43.8665250Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:43.8665480Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05)
2025-09-07T06:38:43.8665800Z         >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts(
2025-09-07T06:38:43.8666200Z         ...     optimizer, T_0=20
2025-09-07T06:38:43.8666360Z         ... )
2025-09-07T06:38:43.8666490Z         >>> for epoch in range(100):
2025-09-07T06:38:43.8666660Z         >>>     train(...)
2025-09-07T06:38:43.8666810Z         >>>     validate(...)
2025-09-07T06:38:43.8666980Z         >>>     scheduler.step()
2025-09-07T06:38:43.8667100Z 
2025-09-07T06:38:43.8667240Z     .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png
2025-09-07T06:38:43.8667490Z     
2025-09-07T06:38:43.8667700Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:43.8667920Z 
2025-09-07T06:38:43.8668310Z msg = Cannot scrape callname=OneCycleLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1875.
2025-09-07T06:38:43.8668900Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:43.8669310Z Sets the learning rate of each parameter group according to the 1cycle learning rate policy.
2025-09-07T06:38:43.8669550Z 
2025-09-07T06:38:43.8669740Z     The 1cycle policy anneals the learning rate from an initial learning rate to some maximum
2025-09-07T06:38:43.8670160Z     learning rate and then from that maximum learning rate to some minimum learning rate much
2025-09-07T06:38:43.8670520Z     lower than the initial learning rate.
2025-09-07T06:38:43.8670790Z     This policy was initially described in the paper `Super-Convergence:
2025-09-07T06:38:43.8671120Z     Very Fast Training of Neural Networks Using Large Learning Rates`_.
2025-09-07T06:38:43.8671310Z 
2025-09-07T06:38:43.8671460Z     The 1cycle learning rate policy changes the learning rate after every batch.
2025-09-07T06:38:43.8671810Z     `step` should be called after a batch has been used for training.
2025-09-07T06:38:43.8672010Z 
2025-09-07T06:38:43.8672070Z     This scheduler is not chainable.
2025-09-07T06:38:43.8672200Z 
2025-09-07T06:38:43.8672340Z     Note also that the total number of steps in the cycle can be determined in one
2025-09-07T06:38:43.8672640Z     of two ways (listed in order of precedence):
2025-09-07T06:38:43.8672790Z 
2025-09-07T06:38:43.8672880Z     #. A value for total_steps is explicitly provided.
2025-09-07T06:38:43.8673150Z     #. A number of epochs (epochs) and a number of steps per epoch
2025-09-07T06:38:43.8673390Z        (steps_per_epoch) are provided.
2025-09-07T06:38:43.8673620Z        In this case, the number of total steps is inferred by
2025-09-07T06:38:43.8673850Z        total_steps = epochs * steps_per_epoch
2025-09-07T06:38:43.8673990Z 
2025-09-07T06:38:43.8674140Z     You must either provide a value for total_steps or provide a value for both
2025-09-07T06:38:43.8674410Z     epochs and steps_per_epoch.
2025-09-07T06:38:43.8674530Z 
2025-09-07T06:38:43.8674710Z     The default behaviour of this scheduler follows the fastai implementation of 1cycle, which
2025-09-07T06:38:43.8675130Z     claims that "unpublished work has shown even better results by using only two phases". To
2025-09-07T06:38:43.8675520Z     mimic the behaviour of the original paper instead, set ``three_phase=True``.
2025-09-07T06:38:43.8675730Z 
2025-09-07T06:38:43.8675770Z     Args:
2025-09-07T06:38:43.8676010Z         optimizer (Optimizer): Wrapped optimizer.
2025-09-07T06:38:43.8676280Z         max_lr (float or list): Upper learning rate boundaries in the cycle
2025-09-07T06:38:43.8676540Z             for each parameter group.
2025-09-07T06:38:43.8676800Z         total_steps (int): The total number of steps in the cycle. Note that
2025-09-07T06:38:43.8677120Z             if a value is not provided here, then it must be inferred by providing
2025-09-07T06:38:43.8677390Z             a value for epochs and steps_per_epoch.
2025-09-07T06:38:43.8677590Z             Default: None
2025-09-07T06:38:43.8677810Z         epochs (int): The number of epochs to train for. This is used along
2025-09-07T06:38:43.8678170Z             with steps_per_epoch in order to infer the total number of steps in the cycle
2025-09-07T06:38:43.8678510Z             if a value for total_steps is not provided.
2025-09-07T06:38:43.8678710Z             Default: None
2025-09-07T06:38:43.8678950Z         steps_per_epoch (int): The number of steps per epoch to train for. This is
2025-09-07T06:38:43.8679300Z             used along with epochs in order to infer the total number of steps in the
2025-09-07T06:38:43.8679620Z             cycle if a value for total_steps is not provided.
2025-09-07T06:38:43.8679830Z             Default: None
2025-09-07T06:38:43.8680070Z         pct_start (float): The percentage of the cycle (in number of steps) spent
2025-09-07T06:38:43.8680330Z             increasing the learning rate.
2025-09-07T06:38:43.8680520Z             Default: 0.3
2025-09-07T06:38:43.8680690Z         anneal_strategy (str): {'cos', 'linear'}
2025-09-07T06:38:43.8680980Z             Specifies the annealing strategy: "cos" for cosine annealing, "linear" for
2025-09-07T06:38:43.8681250Z             linear annealing.
2025-09-07T06:38:43.8681400Z             Default: 'cos'
2025-09-07T06:38:43.8681620Z         cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-09-07T06:38:43.8681930Z             to learning rate between 'base_momentum' and 'max_momentum'.
2025-09-07T06:38:43.8682160Z             Default: True
2025-09-07T06:38:43.8682410Z         base_momentum (float or list): Lower momentum boundaries in the cycle
2025-09-07T06:38:43.8682740Z             for each parameter group. Note that momentum is cycled inversely
2025-09-07T06:38:43.8683030Z             to learning rate; at the peak of a cycle, momentum is
2025-09-07T06:38:43.8683280Z             'base_momentum' and learning rate is 'max_lr'.
2025-09-07T06:38:43.8683530Z             Default: 0.85
2025-09-07T06:38:43.8683760Z         max_momentum (float or list): Upper momentum boundaries in the cycle
2025-09-07T06:38:43.8684030Z             for each parameter group. Functionally,
2025-09-07T06:38:43.8684290Z             it defines the cycle amplitude (max_momentum - base_momentum).
2025-09-07T06:38:43.8684560Z             Note that momentum is cycled inversely
2025-09-07T06:38:43.8684830Z             to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-09-07T06:38:43.8685090Z             and learning rate is 'base_lr'
2025-09-07T06:38:43.8685260Z             Default: 0.95
2025-09-07T06:38:43.8685480Z         div_factor (float): Determines the initial learning rate via
2025-09-07T06:38:43.8685720Z             initial_lr = max_lr/div_factor
2025-09-07T06:38:43.8685910Z             Default: 25
2025-09-07T06:38:43.8686130Z         final_div_factor (float): Determines the minimum learning rate via
2025-09-07T06:38:43.8686390Z             min_lr = initial_lr/final_div_factor
2025-09-07T06:38:43.8686580Z             Default: 1e4
2025-09-07T06:38:43.8686830Z         three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the
2025-09-07T06:38:43.8687200Z             learning rate according to 'final_div_factor' instead of modifying the second
2025-09-07T06:38:43.8687580Z             phase (the first two phases will be symmetrical about the step indicated by
2025-09-07T06:38:43.8687840Z             'pct_start').
2025-09-07T06:38:43.8688120Z         last_epoch (int): The index of the last batch. This parameter is used when
2025-09-07T06:38:43.8688460Z             resuming a training job. Since `step()` should be invoked after each
2025-09-07T06:38:43.8694340Z             batch instead of after each epoch, this number represents the total
2025-09-07T06:38:43.8694700Z             number of *batches* computed, not the total number of epochs computed.
2025-09-07T06:38:43.8695030Z             When last_epoch=-1, the schedule is started from the beginning.
2025-09-07T06:38:43.8695270Z             Default: -1
2025-09-07T06:38:43.8695360Z 
2025-09-07T06:38:43.8695410Z     Example:
2025-09-07T06:38:43.8695540Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:43.8695740Z         >>> data_loader = torch.utils.data.DataLoader(...)
2025-09-07T06:38:43.8696130Z         >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9)
2025-09-07T06:38:43.8696440Z         >>> scheduler = torch.optim.lr_scheduler.OneCycleLR(
2025-09-07T06:38:43.8696740Z         ...     optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10
2025-09-07T06:38:43.8696980Z         ... )
2025-09-07T06:38:43.8697120Z         >>> for epoch in range(10):
2025-09-07T06:38:43.8697300Z         >>>     for batch in data_loader:
2025-09-07T06:38:43.8697480Z         >>>         train_batch(...)
2025-09-07T06:38:43.8697660Z         >>>         optimizer.step()
2025-09-07T06:38:43.8697840Z         >>>         scheduler.step()
2025-09-07T06:38:43.8697960Z 
2025-09-07T06:38:43.8698070Z     .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png
2025-09-07T06:38:43.8698240Z 
2025-09-07T06:38:43.8698420Z     .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates:
2025-09-07T06:38:43.8698730Z         https://arxiv.org/abs/1708.07120
2025-09-07T06:38:43.8698900Z     
2025-09-07T06:38:43.8699120Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:43.8699340Z 
2025-09-07T06:38:43.8699730Z msg = Cannot scrape callname=AveragedModel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/swa_utils.py line=120.
2025-09-07T06:38:43.8700360Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:43.8700800Z Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA).
2025-09-07T06:38:43.8701080Z 
2025-09-07T06:38:43.8701230Z     Stochastic Weight Averaging was proposed in `Averaging Weights Leads to
2025-09-07T06:38:43.8701600Z     Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii
2025-09-07T06:38:43.8701930Z     Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson
2025-09-07T06:38:43.8702170Z     (UAI 2018).
2025-09-07T06:38:43.8702260Z 
2025-09-07T06:38:43.8702390Z     Exponential Moving Average is a variation of `Polyak averaging`_,
2025-09-07T06:38:43.8702740Z     but using exponential weights instead of equal weights across iterations.
2025-09-07T06:38:43.8702950Z 
2025-09-07T06:38:43.8703100Z     AveragedModel class creates a copy of the provided module :attr:`model`
2025-09-07T06:38:43.8703450Z     on the device :attr:`device` and allows to compute running averages of the
2025-09-07T06:38:43.8703710Z     parameters of the :attr:`model`.
2025-09-07T06:38:43.8703840Z 
2025-09-07T06:38:43.8703890Z     Args:
2025-09-07T06:38:43.8704040Z         model (torch.nn.Module): model to use with SWA/EMA
2025-09-07T06:38:43.8704350Z         device (torch.device, optional): if provided, the averaged model will be
2025-09-07T06:38:43.8704620Z             stored on the :attr:`device`
2025-09-07T06:38:43.8704870Z         avg_fn (function, optional): the averaging function used to update
2025-09-07T06:38:43.8705180Z             parameters; the function must take in the current value of the
2025-09-07T06:38:43.8705510Z             :class:`AveragedModel` parameter, the current value of :attr:`model`
2025-09-07T06:38:43.8705830Z             parameter, and the number of models already averaged; if None,
2025-09-07T06:38:43.8706200Z             an equally weighted average is used (default: None)
2025-09-07T06:38:43.8706510Z         multi_avg_fn (function, optional): the averaging function used to update
2025-09-07T06:38:43.8706850Z             parameters inplace; the function must take in the current values of the
2025-09-07T06:38:43.8707230Z             :class:`AveragedModel` parameters as a list, the current values of :attr:`model`
2025-09-07T06:38:43.8707600Z             parameters as a list, and the number of models already averaged; if None,
2025-09-07T06:38:43.8707910Z             an equally weighted average is used (default: None)
2025-09-07T06:38:43.8708200Z         use_buffers (bool): if ``True``, it will compute running averages for
2025-09-07T06:38:43.8708560Z             both the parameters and the buffers of the model. (default: ``False``)
2025-09-07T06:38:43.8708760Z 
2025-09-07T06:38:43.8708810Z     Example:
2025-09-07T06:38:43.8708960Z         >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:43.8709180Z         >>> loader, optimizer, model, loss_fn = ...
2025-09-07T06:38:43.8709430Z         >>> swa_model = torch.optim.swa_utils.AveragedModel(model)
2025-09-07T06:38:43.8709750Z         >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer,
2025-09-07T06:38:43.8710020Z         >>>                                     T_max=300)
2025-09-07T06:38:43.8710210Z         >>> swa_start = 160
2025-09-07T06:38:43.8710400Z         >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05)
2025-09-07T06:38:43.8710610Z         >>> for i in range(300):
2025-09-07T06:38:43.8710800Z         >>>      for input, target in loader:
2025-09-07T06:38:43.8711000Z         >>>          optimizer.zero_grad()
2025-09-07T06:38:43.8711210Z         >>>          loss_fn(model(input), target).backward()
2025-09-07T06:38:43.8711420Z         >>>          optimizer.step()
2025-09-07T06:38:43.8711600Z         >>>      if i > swa_start:
2025-09-07T06:38:43.8711800Z         >>>          swa_model.update_parameters(model)
2025-09-07T06:38:43.8712010Z         >>>          swa_scheduler.step()
2025-09-07T06:38:43.8712210Z         >>>      else:
2025-09-07T06:38:43.8712360Z         >>>          scheduler.step()
2025-09-07T06:38:43.8712520Z         >>>
2025-09-07T06:38:43.8712690Z         >>> # Update bn statistics for the swa_model at the end
2025-09-07T06:38:43.8712950Z         >>> torch.optim.swa_utils.update_bn(loader, swa_model)
2025-09-07T06:38:43.8713110Z 
2025-09-07T06:38:43.8713320Z     You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters.
2025-09-07T06:38:43.8713690Z     If no averaging function is provided, the default is to compute
2025-09-07T06:38:43.8713960Z     equally-weighted average of the weights (SWA).
2025-09-07T06:38:43.8714120Z 
2025-09-07T06:38:43.8714160Z     Example:
2025-09-07T06:38:43.8714320Z         >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:43.8714590Z         >>> # Compute exponential moving averages of the weights and buffers
2025-09-07T06:38:43.8714890Z         >>> ema_model = torch.optim.swa_utils.AveragedModel(model,
2025-09-07T06:38:43.8715200Z         >>>             torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True)
2025-09-07T06:38:43.8715410Z 
2025-09-07T06:38:43.8715450Z     .. note::
2025-09-07T06:38:43.8715660Z         When using SWA/EMA with models containing Batch Normalization you may
2025-09-07T06:38:43.8715980Z         need to update the activation statistics for Batch Normalization.
2025-09-07T06:38:43.8716330Z         This can be done either by using the :meth:`torch.optim.swa_utils.update_bn`
2025-09-07T06:38:43.8716670Z         or by setting :attr:`use_buffers` to `True`. The first approach updates the
2025-09-07T06:38:43.8717030Z         statistics in a post-training step by passing data through the model. The
2025-09-07T06:38:43.8717380Z         second does it during the parameter update phase by averaging all buffers.
2025-09-07T06:38:43.8717780Z         Empirical evidence has shown that updating the statistics in normalization
2025-09-07T06:38:43.8718140Z         layers increases accuracy, but you may wish to empirically test which
2025-09-07T06:38:43.8718440Z         approach yields the best results in your problem.
2025-09-07T06:38:43.8718600Z 
2025-09-07T06:38:43.8718640Z     .. note::
2025-09-07T06:38:43.8718880Z         :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model.
2025-09-07T06:38:43.8719100Z 
2025-09-07T06:38:43.8719140Z     .. note::
2025-09-07T06:38:43.8719340Z         When :meth:`update_parameters` is called for the first time (i.e.
2025-09-07T06:38:43.8719650Z         :attr:`n_averaged` is `0`) the parameters of `model` are copied
2025-09-07T06:38:43.8719950Z         to the parameters of :class:`AveragedModel`. For every subsequent
2025-09-07T06:38:43.8720280Z         call of :meth:`update_parameters` the function `avg_fn` is used
2025-09-07T06:38:43.8720520Z         to update the parameters.
2025-09-07T06:38:43.8720640Z 
2025-09-07T06:38:43.8720780Z     .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-09-07T06:38:43.8721050Z         https://arxiv.org/abs/1803.05407
2025-09-07T06:38:43.8721320Z     .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should
2025-09-07T06:38:43.8721580Z         Average:
2025-09-07T06:38:43.8721730Z         https://arxiv.org/abs/1806.05594
2025-09-07T06:38:43.8721990Z     .. _SWALP: Stochastic Weight Averaging in Low-Precision Training:
2025-09-07T06:38:43.8722240Z         https://arxiv.org/abs/1904.11943
2025-09-07T06:38:43.8722510Z     .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That
2025-09-07T06:38:43.8722770Z         Generalizes Well:
2025-09-07T06:38:43.8722930Z         https://arxiv.org/abs/2001.02312
2025-09-07T06:38:43.8723120Z     .. _Polyak averaging:
2025-09-07T06:38:43.8723320Z         https://paperswithcode.com/method/polyak-averaging
2025-09-07T06:38:43.8723530Z     
2025-09-07T06:38:43.8723740Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:43.9032500Z 
2025-09-07T06:38:43.9032970Z msg = Cannot scrape callname=SWALR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/swa_utils.py line=375.
2025-09-07T06:38:43.9033760Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:43.9034120Z Anneals the learning rate in each parameter group to a fixed value.
2025-09-07T06:38:43.9034320Z 
2025-09-07T06:38:43.9034510Z     This learning rate scheduler is meant to be used with Stochastic Weight
2025-09-07T06:38:43.9034870Z     Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`).
2025-09-07T06:38:43.9035070Z 
2025-09-07T06:38:43.9035120Z     Args:
2025-09-07T06:38:43.9035300Z         optimizer (torch.optim.Optimizer): wrapped optimizer
2025-09-07T06:38:43.9035610Z         swa_lrs (float or list): the learning rate value for all param groups
2025-09-07T06:38:43.9035890Z             together or separately for each group.
2025-09-07T06:38:43.9036180Z         annealing_epochs (int): number of epochs in the annealing phase
2025-09-07T06:38:43.9036430Z             (default: 10)
2025-09-07T06:38:43.9036670Z         annealing_strategy (str): "cos" or "linear"; specifies the annealing
2025-09-07T06:38:43.9037000Z             strategy: "cos" for cosine annealing, "linear" for linear annealing
2025-09-07T06:38:43.9037250Z             (default: "cos")
2025-09-07T06:38:43.9037460Z         last_epoch (int): the index of the last epoch (default: -1)
2025-09-07T06:38:43.9037640Z 
2025-09-07T06:38:43.9037750Z     The :class:`SWALR` scheduler can be used together with other
2025-09-07T06:38:43.9038060Z     schedulers to switch to a constant learning rate late in the training
2025-09-07T06:38:43.9038320Z     as in the example below.
2025-09-07T06:38:43.9038430Z 
2025-09-07T06:38:43.9038480Z     Example:
2025-09-07T06:38:43.9038640Z         >>> # xdoctest: +SKIP("Undefined variables")
2025-09-07T06:38:43.9038940Z         >>> loader, optimizer, model = ...
2025-09-07T06:38:43.9039140Z         >>> lr_lambda = lambda epoch: 0.9
2025-09-07T06:38:43.9039410Z         >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer,
2025-09-07T06:38:43.9039670Z         >>>        lr_lambda=lr_lambda)
2025-09-07T06:38:43.9039910Z         >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer,
2025-09-07T06:38:43.9040190Z         >>>        anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05)
2025-09-07T06:38:43.9040410Z         >>> swa_start = 160
2025-09-07T06:38:43.9040570Z         >>> for i in range(300):
2025-09-07T06:38:43.9040760Z         >>>      for input, target in loader:
2025-09-07T06:38:43.9040960Z         >>>          optimizer.zero_grad()
2025-09-07T06:38:43.9041260Z         >>>          loss_fn(model(input), target).backward()
2025-09-07T06:38:43.9041470Z         >>>          optimizer.step()
2025-09-07T06:38:43.9041650Z         >>>      if i > swa_start:
2025-09-07T06:38:43.9041830Z         >>>          swa_scheduler.step()
2025-09-07T06:38:43.9042010Z         >>>      else:
2025-09-07T06:38:43.9042150Z         >>>          scheduler.step()
2025-09-07T06:38:43.9042280Z 
2025-09-07T06:38:43.9042410Z     .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-09-07T06:38:43.9042680Z         https://arxiv.org/abs/1803.05407
2025-09-07T06:38:43.9042850Z     
2025-09-07T06:38:43.9043060Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:43.9043280Z 
2025-09-07T06:38:43.9043690Z msg = Cannot scrape callname=Optimizer.load_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/optimizer.py line=868.
2025-09-07T06:38:43.9044300Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:43.9044580Z Load the optimizer state.
2025-09-07T06:38:43.9044690Z 
2025-09-07T06:38:43.9044730Z         Args:
2025-09-07T06:38:43.9044930Z             state_dict (dict): optimizer state. Should be an object returned
2025-09-07T06:38:43.9045190Z                 from a call to :meth:`state_dict`.
2025-09-07T06:38:43.9045360Z 
2025-09-07T06:38:43.9045420Z         .. warning::
2025-09-07T06:38:43.9045720Z             Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`,
2025-09-07T06:38:43.9046130Z             as calling it beforehand will overwrite the loaded learning rates.
2025-09-07T06:38:43.9046330Z 
2025-09-07T06:38:43.9046440Z         .. note::
2025-09-07T06:38:43.9046710Z             The names of the parameters (if they exist under the "param_names" key of each param group
2025-09-07T06:38:43.9047070Z             in :meth:`state_dict`) will not affect the loading process.
2025-09-07T06:38:43.9047470Z             To use the parameters' names for custom cases (such as when the parameters in the loaded state dict
2025-09-07T06:38:43.9047820Z             differ from those initialized in the optimizer),
2025-09-07T06:38:43.9048170Z             a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict
2025-09-07T06:38:43.9048480Z             accordingly.
2025-09-07T06:38:43.9048750Z             If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override
2025-09-07T06:38:43.9049190Z             the current names, if present, in the optimizer state. If they do not exist in loaded state dict,
2025-09-07T06:38:43.9049540Z             the optimizer ``param_names`` will remain unchanged.
2025-09-07T06:38:43.9049700Z 
2025-09-07T06:38:43.9049750Z         Example:
2025-09-07T06:38:43.9049890Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:43.9050070Z             >>> model = torch.nn.Linear(10, 10)
2025-09-07T06:38:43.9050320Z             >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4)
2025-09-07T06:38:43.9050590Z             >>> scheduler1 = torch.optim.lr_scheduler.LinearLR(
2025-09-07T06:38:43.9050800Z             ...     optim,
2025-09-07T06:38:43.9051000Z             ...     start_factor=0.1,
2025-09-07T06:38:43.9051170Z             ...     end_factor=1,
2025-09-07T06:38:43.9051340Z             ...     total_iters=20,
2025-09-07T06:38:43.9051500Z             ... )
2025-09-07T06:38:43.9051700Z             >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR(
2025-09-07T06:38:43.9051930Z             ...     optim,
2025-09-07T06:38:43.9052080Z             ...     T_max=80,
2025-09-07T06:38:43.9052230Z             ...     eta_min=3e-5,
2025-09-07T06:38:43.9052390Z             ... )
2025-09-07T06:38:43.9052560Z             >>> lr = torch.optim.lr_scheduler.SequentialLR(
2025-09-07T06:38:43.9052770Z             ...     optim,
2025-09-07T06:38:43.9052950Z             ...     schedulers=[scheduler1, scheduler2],
2025-09-07T06:38:43.9053180Z             ...     milestones=[20],
2025-09-07T06:38:43.9053340Z             ... )
2025-09-07T06:38:43.9053510Z             >>> lr.load_state_dict(torch.load("./save_seq.pt"))
2025-09-07T06:38:43.9053800Z             >>> # now load the optimizer checkpoint after loading the LRScheduler
2025-09-07T06:38:43.9054090Z             >>> optim.load_state_dict(torch.load("./save_optim.pt"))
2025-09-07T06:38:43.9054260Z 
2025-09-07T06:38:43.9054310Z         
2025-09-07T06:38:43.9054520Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:43.9054740Z 
2025-09-07T06:38:43.9055160Z msg = Cannot scrape callname=SelectiveCheckpointContext in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1226.
2025-09-07T06:38:43.9055800Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:43.9056030Z 
2025-09-07T06:38:43.9056150Z Context passed to policy function during selective checkpointing.
2025-09-07T06:38:43.9056350Z 
2025-09-07T06:38:43.9056490Z This class is used to pass relevant metadata to the policy function during
2025-09-07T06:38:43.9056850Z selective checkpointing. The metadata includes whether the current invocation
2025-09-07T06:38:43.9057170Z of the policy function is during recomputation or not.
2025-09-07T06:38:43.9057390Z 
2025-09-07T06:38:43.9057440Z Example:
2025-09-07T06:38:43.9057560Z     >>> # xdoctest: +SKIP(stub)
2025-09-07T06:38:43.9057710Z     >>>
2025-09-07T06:38:43.9057850Z     >>> def policy_fn(ctx, op, *args, **kwargs):
2025-09-07T06:38:43.9058060Z     >>>    print(ctx.is_recompute)
2025-09-07T06:38:43.9058220Z     >>>
2025-09-07T06:38:43.9058470Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-09-07T06:38:43.9058760Z     >>>
2025-09-07T06:38:43.9058920Z     >>> out = torch.utils.checkpoint.checkpoint(
2025-09-07T06:38:43.9059120Z     >>>     fn, x, y,
2025-09-07T06:38:43.9059280Z     >>>     use_reentrant=False,
2025-09-07T06:38:43.9059450Z     >>>     context_fn=context_fn,
2025-09-07T06:38:43.9059620Z     >>> )
2025-09-07T06:38:43.9059760Z 
2025-09-07T06:38:43.9059920Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:43.9060150Z 
2025-09-07T06:38:43.9060600Z msg = Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1366.
2025-09-07T06:38:43.9061250Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:43.9061470Z 
2025-09-07T06:38:43.9061620Z Helper to avoid recomputing certain ops during activation checkpointing.
2025-09-07T06:38:43.9061820Z 
2025-09-07T06:38:43.9061950Z Use this with `torch.utils.checkpoint.checkpoint` to control which
2025-09-07T06:38:43.9062240Z operations are recomputed during the backward pass.
2025-09-07T06:38:43.9062410Z 
2025-09-07T06:38:43.9062450Z Args:
2025-09-07T06:38:43.9062580Z     policy_fn_or_list (Callable or List):
2025-09-07T06:38:43.9062820Z       - If a policy function is provided, it should accept a
2025-09-07T06:38:43.9063160Z         :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and
2025-09-07T06:38:43.9063500Z         kwargs to the op, and return a :class:`CheckpointPolicy` enum value
2025-09-07T06:38:43.9063850Z         indicating whether the execution of the op should be recomputed or not.
2025-09-07T06:38:43.9064180Z       - If a list of operations is provided, it is equivalent to a policy
2025-09-07T06:38:43.9064480Z         returning `CheckpointPolicy.MUST_SAVE` for the specified
2025-09-07T06:38:43.9064790Z         operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other
2025-09-07T06:38:43.9065030Z         operations.
2025-09-07T06:38:43.9065250Z     allow_cache_entry_mutation (bool, optional): By default, an error is
2025-09-07T06:38:43.9065580Z         raised if any tensors cached by selective activation checkpoint are
2025-09-07T06:38:43.9065930Z         mutated in order to ensure correctness. If set to `True`, this check
2025-09-07T06:38:43.9066180Z         is disabled.
2025-09-07T06:38:43.9066320Z Returns:
2025-09-07T06:38:43.9066450Z     A tuple of two context managers.
2025-09-07T06:38:43.9066570Z 
2025-09-07T06:38:43.9066620Z Example:
2025-09-07T06:38:43.9066750Z     >>> # xdoctest: +REQUIRES(LINUX)
2025-09-07T06:38:43.9066920Z     >>> import functools
2025-09-07T06:38:43.9067050Z     >>>
2025-09-07T06:38:43.9067190Z     >>> x = torch.rand(10, 10, requires_grad=True)
2025-09-07T06:38:43.9067400Z     >>> y = torch.rand(10, 10, requires_grad=True)
2025-09-07T06:38:43.9067590Z     >>>
2025-09-07T06:38:43.9067700Z     >>> ops_to_save = [
2025-09-07T06:38:43.9067850Z     >>>    torch.ops.aten.mm.default,
2025-09-07T06:38:43.9068030Z     >>> ]
2025-09-07T06:38:43.9068140Z     >>>
2025-09-07T06:38:43.9068270Z     >>> def policy_fn(ctx, op, *args, **kwargs):
2025-09-07T06:38:43.9068470Z     >>>    if op in ops_to_save:
2025-09-07T06:38:43.9068660Z     >>>        return CheckpointPolicy.MUST_SAVE
2025-09-07T06:38:43.9068840Z     >>>    else:
2025-09-07T06:38:43.9069010Z     >>>        return CheckpointPolicy.PREFER_RECOMPUTE
2025-09-07T06:38:43.9069200Z     >>>
2025-09-07T06:38:43.9069420Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-09-07T06:38:43.9069750Z     >>>
2025-09-07T06:38:43.9069860Z     >>> # or equivalently
2025-09-07T06:38:43.9070130Z     >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save)
2025-09-07T06:38:43.9070400Z     >>>
2025-09-07T06:38:43.9070500Z     >>> def fn(x, y):
2025-09-07T06:38:43.9070730Z     >>>     return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y
2025-09-07T06:38:43.9075650Z     >>>
2025-09-07T06:38:43.9075810Z     >>> out = torch.utils.checkpoint.checkpoint(
2025-09-07T06:38:43.9076010Z     >>>     fn, x, y,
2025-09-07T06:38:43.9076160Z     >>>     use_reentrant=False,
2025-09-07T06:38:43.9076340Z     >>>     context_fn=context_fn,
2025-09-07T06:38:43.9076510Z     >>> )
2025-09-07T06:38:43.9076580Z 
2025-09-07T06:38:43.9076730Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:43.9076940Z 
2025-09-07T06:38:43.9077370Z msg = Cannot scrape callname=ThroughputBenchmark in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=61.
2025-09-07T06:38:43.9078020Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:43.9078240Z 
2025-09-07T06:38:43.9078420Z This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark.
2025-09-07T06:38:43.9078670Z 
2025-09-07T06:38:43.9078850Z This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible
2025-09-07T06:38:43.9079240Z for executing a PyTorch module (nn.Module or ScriptModule) under an inference
2025-09-07T06:38:43.9079600Z server like load. It can emulate multiple calling threads to a single module
2025-09-07T06:38:43.9079950Z provided. In the future we plan to enhance this component to support inter and
2025-09-07T06:38:43.9080420Z intra-op parallelism as well as multiple models running in a single process.
2025-09-07T06:38:43.9080630Z 
2025-09-07T06:38:43.9080790Z Please note that even though nn.Module is supported, it might incur an overhead
2025-09-07T06:38:43.9081140Z from the need to hold GIL every time we execute Python code or pass around
2025-09-07T06:38:43.9081490Z inputs as Python objects. As soon as you have a ScriptModule version of your
2025-09-07T06:38:43.9081840Z model for inference deployment it is better to switch to using it in this
2025-09-07T06:38:43.9082090Z benchmark.
2025-09-07T06:38:43.9082170Z 
2025-09-07T06:38:43.9082220Z Example::
2025-09-07T06:38:43.9082290Z 
2025-09-07T06:38:43.9082350Z     >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:43.9082570Z     >>> from torch.utils import ThroughputBenchmark
2025-09-07T06:38:43.9082820Z     >>> bench = ThroughputBenchmark(my_module)
2025-09-07T06:38:43.9083060Z     >>> # Pre-populate benchmark's data set with the inputs
2025-09-07T06:38:43.9083280Z     >>> for input in inputs:
2025-09-07T06:38:43.9083520Z     ...     # Both args and kwargs work, same as any PyTorch Module / ScriptModule
2025-09-07T06:38:43.9083800Z     ...     bench.add_input(input[0], x2=input[1])
2025-09-07T06:38:43.9084060Z     >>> # Inputs supplied above are randomly used during the execution
2025-09-07T06:38:43.9084310Z     >>> stats = bench.benchmark(
2025-09-07T06:38:43.9084480Z     ...     num_calling_threads=4,
2025-09-07T06:38:43.9084660Z     ...     num_warmup_iters = 100,
2025-09-07T06:38:43.9084830Z     ...     num_iters = 1000,
2025-09-07T06:38:43.9084990Z     ... )
2025-09-07T06:38:43.9085170Z     >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms))
2025-09-07T06:38:43.9085450Z     >>> print("Number of iterations: {}".format(stats.num_iters))
2025-09-07T06:38:43.9085630Z 
2025-09-07T06:38:43.9085780Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:43.9085990Z 
2025-09-07T06:38:43.9086400Z msg = Cannot scrape callname=register_pytree_node in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=134.
2025-09-07T06:38:43.9087050Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:43.9087350Z Register a container-like type as pytree node.
2025-09-07T06:38:43.9087500Z 
2025-09-07T06:38:43.9087540Z     Args:
2025-09-07T06:38:43.9087730Z         cls (type): A Python type to treat as an internal pytree node.
2025-09-07T06:38:43.9088090Z         flatten_fn (callable): A function to be used during flattening, taking an instance of
2025-09-07T06:38:43.9088480Z             ``cls`` and returning a pair, with (1) an iterable for the children to be flattened
2025-09-07T06:38:43.9088880Z             recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be
2025-09-07T06:38:43.9089190Z             passed to the ``unflatten_fn``.
2025-09-07T06:38:43.9089490Z         unflatten_fn (callable): A function taking two arguments: the auxiliary data that was
2025-09-07T06:38:43.9089880Z             returned by ``flatten_fn`` and stored in the treespec, and the unflattened children.
2025-09-07T06:38:43.9090200Z             The function should return an instance of ``cls``.
2025-09-07T06:38:43.9090520Z         serialized_type_name (str, optional): A keyword argument used to specify the fully
2025-09-07T06:38:43.9090850Z             qualified name used when serializing the tree spec.
2025-09-07T06:38:43.9091200Z         to_dumpable_context (callable, optional): An optional keyword argument to custom specify how
2025-09-07T06:38:43.9091620Z             to convert the context of the pytree to a custom json dumpable representation. This is
2025-09-07T06:38:43.9092020Z             used for json serialization, which is being used in :mod:`torch.export` right now.
2025-09-07T06:38:43.9092420Z         from_dumpable_context (callable, optional): An optional keyword argument to custom specify
2025-09-07T06:38:43.9092870Z             how to convert the custom json dumpable representation of the context back to the
2025-09-07T06:38:43.9093260Z             original context. This is used for json deserialization, which is being used in
2025-09-07T06:38:43.9093560Z             :mod:`torch.export` right now.
2025-09-07T06:38:43.9093690Z 
2025-09-07T06:38:43.9093740Z     Example::
2025-09-07T06:38:43.9093820Z 
2025-09-07T06:38:43.9093880Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:43.9094080Z         >>> # Registry a Python type with lambda functions
2025-09-07T06:38:43.9094280Z         >>> register_pytree_node(
2025-09-07T06:38:43.9094440Z         ...     set,
2025-09-07T06:38:43.9094600Z         ...     lambda s: (sorted(s), None, None),
2025-09-07T06:38:43.9094820Z         ...     lambda children, _: set(children),
2025-09-07T06:38:43.9095030Z         ... )
2025-09-07T06:38:43.9095140Z     
2025-09-07T06:38:43.9095350Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:43.9095570Z 
2025-09-07T06:38:43.9095970Z msg = Cannot scrape callname=CppExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1158.
2025-09-07T06:38:43.9096580Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:43.9096810Z 
2025-09-07T06:38:43.9096890Z Create a :class:`setuptools.Extension` for C++.
2025-09-07T06:38:43.9097050Z 
2025-09-07T06:38:43.9097200Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-09-07T06:38:43.9097550Z bare minimum (but often sufficient) arguments to build a C++ extension.
2025-09-07T06:38:43.9097750Z 
2025-09-07T06:38:43.9097880Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-09-07T06:38:43.9098160Z constructor. Full list arguments can be found at
2025-09-07T06:38:43.9098510Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-09-07T06:38:43.9098770Z 
2025-09-07T06:38:43.9098820Z .. warning::
2025-09-07T06:38:43.9099030Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-09-07T06:38:43.9099410Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-09-07T06:38:43.9099720Z     the user's responsibility in their library to not use APIs from
2025-09-07T06:38:43.9100050Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-09-07T06:38:43.9100390Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-09-07T06:38:43.9100840Z     example, to give access to custom ops from python, the library should
2025-09-07T06:38:43.9101110Z     register the ops through the dispatcher.
2025-09-07T06:38:43.9101260Z 
2025-09-07T06:38:43.9101390Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-09-07T06:38:43.9101720Z     as a compile flag when py_limited_api is specified as an option for
2025-09-07T06:38:43.9102040Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-09-07T06:38:43.9102360Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-09-07T06:38:43.9102690Z     safety, and sanity in order to encourage best practices. To target a
2025-09-07T06:38:43.9103010Z     different version, set min_supported_cpython to the hexcode of the
2025-09-07T06:38:43.9103270Z     CPython version of choice.
2025-09-07T06:38:43.9103380Z 
2025-09-07T06:38:43.9103430Z Example:
2025-09-07T06:38:43.9103540Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:43.9103720Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-09-07T06:38:43.9103950Z     >>> from setuptools import setup
2025-09-07T06:38:43.9104210Z     >>> from torch.utils.cpp_extension import BuildExtension, CppExtension
2025-09-07T06:38:43.9104460Z     >>> setup(
2025-09-07T06:38:43.9104590Z     ...     name='extension',
2025-09-07T06:38:43.9104760Z     ...     ext_modules=[
2025-09-07T06:38:43.9104910Z     ...         CppExtension(
2025-09-07T06:38:43.9105070Z     ...             name='extension',
2025-09-07T06:38:43.9105300Z     ...             sources=['extension.cpp'],
2025-09-07T06:38:43.9105510Z     ...             extra_compile_args=['-g'],
2025-09-07T06:38:43.9105740Z     ...             extra_link_args=['-Wl,--no-as-needed', '-lm'])
2025-09-07T06:38:43.9105950Z     ...     ],
2025-09-07T06:38:43.9106070Z     ...     cmdclass={
2025-09-07T06:38:43.9106220Z     ...         'build_ext': BuildExtension
2025-09-07T06:38:43.9106390Z     ...     })
2025-09-07T06:38:43.9106470Z 
2025-09-07T06:38:43.9106620Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:43.9106830Z 
2025-09-07T06:38:43.9107220Z msg = Cannot scrape callname=CUDAExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1228.
2025-09-07T06:38:43.9107850Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:43.9108070Z 
2025-09-07T06:38:43.9108170Z Create a :class:`setuptools.Extension` for CUDA/C++.
2025-09-07T06:38:43.9108330Z 
2025-09-07T06:38:43.9108480Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-09-07T06:38:43.9108810Z bare minimum (but often sufficient) arguments to build a CUDA/C++
2025-09-07T06:38:43.9109130Z extension. This includes the CUDA include path, library path and runtime
2025-09-07T06:38:43.9109370Z library.
2025-09-07T06:38:43.9109440Z 
2025-09-07T06:38:43.9109560Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-09-07T06:38:43.9109830Z constructor. Full list arguments can be found at
2025-09-07T06:38:43.9110170Z https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-09-07T06:38:43.9110430Z 
2025-09-07T06:38:43.9110470Z .. warning::
2025-09-07T06:38:43.9110690Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-09-07T06:38:43.9111020Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-09-07T06:38:43.9111330Z     the user's responsibility in their library to not use APIs from
2025-09-07T06:38:43.9111650Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-09-07T06:38:43.9112020Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-09-07T06:38:43.9112340Z     example, to give access to custom ops from python, the library should
2025-09-07T06:38:43.9112610Z     register the ops through the dispatcher.
2025-09-07T06:38:43.9112750Z 
2025-09-07T06:38:43.9112900Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-09-07T06:38:43.9113220Z     as a compile flag when py_limited_api is specified as an option for
2025-09-07T06:38:43.9113540Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-09-07T06:38:43.9113860Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-09-07T06:38:43.9114190Z     safety, and sanity in order to encourage best practices. To target a
2025-09-07T06:38:43.9114510Z     different version, set min_supported_cpython to the hexcode of the
2025-09-07T06:38:43.9114760Z     CPython version of choice.
2025-09-07T06:38:43.9114870Z 
2025-09-07T06:38:43.9114920Z Example:
2025-09-07T06:38:43.9115030Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:43.9115220Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-09-07T06:38:43.9115430Z     >>> from setuptools import setup
2025-09-07T06:38:43.9115690Z     >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension
2025-09-07T06:38:43.9115940Z     >>> setup(
2025-09-07T06:38:43.9116070Z     ...     name='cuda_extension',
2025-09-07T06:38:43.9116240Z     ...     ext_modules=[
2025-09-07T06:38:43.9116390Z     ...         CUDAExtension(
2025-09-07T06:38:43.9116570Z     ...                 name='cuda_extension',
2025-09-07T06:38:43.9116800Z     ...                 sources=['extension.cpp', 'extension_kernel.cu'],
2025-09-07T06:38:43.9117050Z     ...                 extra_compile_args={'cxx': ['-g'],
2025-09-07T06:38:43.9117300Z     ...                                     'nvcc': ['-O2']},
2025-09-07T06:38:43.9117540Z     ...                 extra_link_args=['-Wl,--no-as-needed', '-lcuda'])
2025-09-07T06:38:43.9117740Z     ...     ],
2025-09-07T06:38:43.9117860Z     ...     cmdclass={
2025-09-07T06:38:43.9118010Z     ...         'build_ext': BuildExtension
2025-09-07T06:38:43.9118180Z     ...     })
2025-09-07T06:38:43.9118260Z 
2025-09-07T06:38:43.9118310Z Compute capabilities:
2025-09-07T06:38:43.9118400Z 
2025-09-07T06:38:43.9118580Z By default the extension will be compiled to run on all archs of the cards visible during the
2025-09-07T06:38:43.9119030Z building process of the extension, plus PTX. If down the road a new card is installed the
2025-09-07T06:38:43.9119440Z extension may need to be recompiled. If a visible card has a compute capability (CC) that's
2025-09-07T06:38:43.9119900Z newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch
2025-09-07T06:38:43.9120310Z will make nvcc fall back to building kernels with the newest version of PTX your nvcc does
2025-09-07T06:38:43.9120610Z support (see below for details on PTX).
2025-09-07T06:38:43.9120750Z 
2025-09-07T06:38:43.9120930Z You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which
2025-09-07T06:38:43.9121240Z CCs you want the extension to support:
2025-09-07T06:38:43.9121380Z 
2025-09-07T06:38:43.9121490Z ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py``
2025-09-07T06:38:43.9121820Z ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py``
2025-09-07T06:38:43.9122030Z 
2025-09-07T06:38:43.9122220Z The +PTX option causes extension kernel binaries to include PTX instructions for the specified
2025-09-07T06:38:43.9122650Z CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >=
2025-09-07T06:38:43.9123090Z the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with
2025-09-07T06:38:43.9123510Z CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to
2025-09-07T06:38:43.9123960Z provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on
2025-09-07T06:38:43.9124380Z those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better
2025-09-07T06:38:43.9124790Z off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6,
2025-09-07T06:38:43.9125250Z "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but
2025-09-07T06:38:43.9125560Z "8.0 8.6" would be better.
2025-09-07T06:38:43.9125660Z 
2025-09-07T06:38:43.9125840Z Note that while it's possible to include all supported archs, the more archs get included the
2025-09-07T06:38:43.9126260Z slower the building process will be, as it will build a separate kernel image for each arch.
2025-09-07T06:38:43.9126490Z 
2025-09-07T06:38:43.9126690Z Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows.
2025-09-07T06:38:43.9127080Z To workaround the issue, move python binding logic to pure C++ file.
2025-09-07T06:38:43.9127270Z 
2025-09-07T06:38:43.9127320Z Example use:
2025-09-07T06:38:43.9127440Z     #include <ATen/ATen.h>
2025-09-07T06:38:43.9127640Z     at::Tensor SigmoidAlphaBlendForwardCuda(....)
2025-09-07T06:38:43.9127790Z 
2025-09-07T06:38:43.9127840Z Instead of:
2025-09-07T06:38:43.9127960Z     #include <torch/extension.h>
2025-09-07T06:38:43.9128170Z     torch::Tensor SigmoidAlphaBlendForwardCuda(...)
2025-09-07T06:38:43.9128330Z 
2025-09-07T06:38:43.9128490Z Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460
2025-09-07T06:38:43.9129010Z Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48
2025-09-07T06:38:43.9129370Z 
2025-09-07T06:38:43.9129430Z Relocatable device code linking:
2025-09-07T06:38:43.9129550Z 
2025-09-07T06:38:43.9129760Z If you want to reference device symbols across compilation units (across object files),
2025-09-07T06:38:43.9130150Z the object files need to be built with `relocatable device code` (-rdc=true or -dc).
2025-09-07T06:38:43.9130590Z An exception to this rule is "dynamic parallelism" (nested kernel launches)  which is not used a lot anymore.
2025-09-07T06:38:43.9131070Z `Relocatable device code` is less optimized so it needs to be used only on object files that need it.
2025-09-07T06:38:43.9131520Z Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step
2025-09-07T06:38:43.9131880Z helps reduce the protentional perf degradation of `-rdc`.
2025-09-07T06:38:43.9132150Z Note that it needs to be used at both steps to be useful.
2025-09-07T06:38:43.9132400Z 
2025-09-07T06:38:43.9132620Z If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step.
2025-09-07T06:38:43.9133000Z There is also a case where `-dlink` is used without `-rdc`:
2025-09-07T06:38:43.9133330Z when an extension is linked against a static lib containing rdc-compiled objects
2025-09-07T06:38:43.9133680Z like the [NVSHMEM library](https://developer.nvidia.com/nvshmem).
2025-09-07T06:38:43.9133870Z 
2025-09-07T06:38:43.9134000Z Note: Ninja is required to build a CUDA Extension with RDC linking.
2025-09-07T06:38:43.9134190Z 
2025-09-07T06:38:43.9134230Z Example:
2025-09-07T06:38:43.9134350Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:43.9134540Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-09-07T06:38:43.9134740Z     >>> CUDAExtension(
2025-09-07T06:38:43.9134890Z     ...        name='cuda_extension',
2025-09-07T06:38:43.9135110Z     ...        sources=['extension.cpp', 'extension_kernel.cu'],
2025-09-07T06:38:43.9135320Z     ...        dlink=True,
2025-09-07T06:38:43.9135480Z     ...        dlink_libraries=["dlink_lib"],
2025-09-07T06:38:43.9135690Z     ...        extra_compile_args={'cxx': ['-g'],
2025-09-07T06:38:43.9135910Z     ...                            'nvcc': ['-O2', '-rdc=true']})
2025-09-07T06:38:43.9136050Z 
2025-09-07T06:38:43.9136230Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:44.0503140Z 
2025-09-07T06:38:44.0503820Z msg = Cannot scrape callname=SyclExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1420.
2025-09-07T06:38:44.0504690Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:44.0504930Z 
2025-09-07T06:38:44.0505040Z Creates a :class:`setuptools.Extension` for SYCL/C++.
2025-09-07T06:38:44.0505210Z 
2025-09-07T06:38:44.0505360Z Convenience method that creates a :class:`setuptools.Extension` with the
2025-09-07T06:38:44.0505710Z bare minimum (but often sufficient) arguments to build a SYCL/C++
2025-09-07T06:38:44.0505950Z extension.
2025-09-07T06:38:44.0506060Z 
2025-09-07T06:38:44.0506190Z All arguments are forwarded to the :class:`setuptools.Extension`
2025-09-07T06:38:44.0506440Z constructor.
2025-09-07T06:38:44.0506520Z 
2025-09-07T06:38:44.0506590Z .. warning::
2025-09-07T06:38:44.0506810Z     The PyTorch python API (as provided in libtorch_python) cannot be built
2025-09-07T06:38:44.0507160Z     with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-09-07T06:38:44.0507490Z     the user's responsibility in their library to not use APIs from
2025-09-07T06:38:44.0507820Z     libtorch_python (in particular pytorch/python bindings) and to only use
2025-09-07T06:38:44.0508160Z     APIs from libtorch (aten objects, operators and the dispatcher). For
2025-09-07T06:38:44.0508480Z     example, to give access to custom ops from python, the library should
2025-09-07T06:38:44.0508760Z     register the ops through the dispatcher.
2025-09-07T06:38:44.0508900Z 
2025-09-07T06:38:44.0509040Z     Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-09-07T06:38:44.0509560Z     as a compile flag when py_limited_api is specified as an option for
2025-09-07T06:38:44.0509880Z     the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-09-07T06:38:44.0510220Z     -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-09-07T06:38:44.0510550Z     safety, and sanity in order to encourage best practices. To target a
2025-09-07T06:38:44.0510880Z     different version, set min_supported_cpython to the hexcode of the
2025-09-07T06:38:44.0511140Z     CPython version of choice.
2025-09-07T06:38:44.0511250Z 
2025-09-07T06:38:44.0511300Z Example:
2025-09-07T06:38:44.0511420Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:44.0511610Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-09-07T06:38:44.0511900Z     >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension
2025-09-07T06:38:44.0512240Z     >>> setup(
2025-09-07T06:38:44.0512380Z     ...     name='xpu_extension',
2025-09-07T06:38:44.0512550Z     ...     ext_modules=[
2025-09-07T06:38:44.0512700Z     ...     SyclExtension(
2025-09-07T06:38:44.0512870Z     ...                 name='xpu_extension',
2025-09-07T06:38:44.0513120Z     ...                 sources=['extension.cpp', 'extension_kernel.cpp'],
2025-09-07T06:38:44.0513420Z     ...                 extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']})
2025-09-07T06:38:44.0513650Z     ...     ],
2025-09-07T06:38:44.0513770Z     ...     cmdclass={
2025-09-07T06:38:44.0513920Z     ...         'build_ext': BuildExtension
2025-09-07T06:38:44.0514100Z     ...     })
2025-09-07T06:38:44.0514180Z 
2025-09-07T06:38:44.0514360Z By default the extension will be compiled to run on all archs of the cards visible during the
2025-09-07T06:38:44.0514790Z building process of the extension. If down the road a new card is installed the
2025-09-07T06:38:44.0515170Z extension may need to be recompiled. You can override the default behavior using
2025-09-07T06:38:44.0515570Z `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension
2025-09-07T06:38:44.0515870Z to support:
2025-09-07T06:38:44.0515940Z 
2025-09-07T06:38:44.0516070Z ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py``
2025-09-07T06:38:44.0516340Z 
2025-09-07T06:38:44.0516520Z Note that while it's possible to include all supported archs, the more archs get included the
2025-09-07T06:38:44.0516940Z slower the building process will be, as it will build a separate kernel image for each arch.
2025-09-07T06:38:44.0517180Z 
2025-09-07T06:38:44.0517290Z Note: Ninja is required to build SyclExtension.
2025-09-07T06:38:44.0517460Z 
2025-09-07T06:38:44.0517610Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:44.0517830Z 
2025-09-07T06:38:44.0518210Z msg = Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1597.
2025-09-07T06:38:44.0518800Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:44.0519020Z 
2025-09-07T06:38:44.0519110Z Load a PyTorch C++ extension just-in-time (JIT).
2025-09-07T06:38:44.0519260Z 
2025-09-07T06:38:44.0524610Z To load an extension, a Ninja build file is emitted, which is used to
2025-09-07T06:38:44.0524950Z compile the given sources into a dynamic library. This library is
2025-09-07T06:38:44.0525270Z subsequently loaded into the current Python process as a module and
2025-09-07T06:38:44.0525540Z returned from this function, ready for use.
2025-09-07T06:38:44.0525690Z 
2025-09-07T06:38:44.0525830Z By default, the directory to which the build file is emitted and the
2025-09-07T06:38:44.0526160Z resulting library compiled to is ``<tmp>/torch_extensions/<name>``, where
2025-09-07T06:38:44.0526490Z ``<tmp>`` is the temporary folder on the current platform and ``<name>``
2025-09-07T06:38:44.0526810Z the name of the extension. This location can be overridden in two ways.
2025-09-07T06:38:44.0527140Z First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it
2025-09-07T06:38:44.0527580Z replaces ``<tmp>/torch_extensions`` and all extensions will be compiled
2025-09-07T06:38:44.0527920Z into subfolders of this directory. Second, if the ``build_directory``
2025-09-07T06:38:44.0528260Z argument to this function is supplied, it overrides the entire path, i.e.
2025-09-07T06:38:44.0528560Z the library will be compiled into that folder directly.
2025-09-07T06:38:44.0528730Z 
2025-09-07T06:38:44.0528860Z To compile the sources, the default system compiler (``c++``) is used,
2025-09-07T06:38:44.0529190Z which can be overridden by setting the ``CXX`` environment variable. To pass
2025-09-07T06:38:44.0529540Z additional arguments to the compilation process, ``extra_cflags`` or
2025-09-07T06:38:44.0529870Z ``extra_ldflags`` can be provided. For example, to compile your extension
2025-09-07T06:38:44.0530240Z with optimizations, pass ``extra_cflags=['-O3']``. You can also use
2025-09-07T06:38:44.0530530Z ``extra_cflags`` to pass further include directories.
2025-09-07T06:38:44.0530690Z 
2025-09-07T06:38:44.0530840Z CUDA support with mixed compilation is provided. Simply pass CUDA source
2025-09-07T06:38:44.0531160Z files (``.cu`` or ``.cuh``) along with other sources. Such files will be
2025-09-07T06:38:44.0531480Z detected and compiled with nvcc rather than the C++ compiler. This includes
2025-09-07T06:38:44.0531830Z passing the CUDA lib64 directory as a library directory, and linking
2025-09-07T06:38:44.0532110Z ``cudart``. You can pass additional flags to nvcc via
2025-09-07T06:38:44.0532400Z ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various
2025-09-07T06:38:44.0532730Z heuristics for finding the CUDA install directory are used, which usually
2025-09-07T06:38:44.0533060Z work fine. If not, setting the ``CUDA_HOME`` environment variable is the
2025-09-07T06:38:44.0533300Z safest option.
2025-09-07T06:38:44.0533380Z 
2025-09-07T06:38:44.0533520Z SYCL support with mixed compilation is provided. Simply pass SYCL source
2025-09-07T06:38:44.0533850Z files (``.sycl``) along with other sources. Such files will be detected
2025-09-07T06:38:44.0534170Z and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather
2025-09-07T06:38:44.0534560Z than the C++ compiler. You can pass additional flags to SYCL compiler
2025-09-07T06:38:44.0534880Z via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++.
2025-09-07T06:38:44.0535190Z SYCL compiler is expected to be found via system PATH environment
2025-09-07T06:38:44.0535490Z variable.
2025-09-07T06:38:44.0535560Z 
2025-09-07T06:38:44.0535630Z Args:
2025-09-07T06:38:44.0535840Z     name: The name of the extension to build. This MUST be the same as the
2025-09-07T06:38:44.0536110Z         name of the pybind11 module!
2025-09-07T06:38:44.0536360Z     sources: A list of relative or absolute paths to C++ source files.
2025-09-07T06:38:44.0536700Z     extra_cflags: optional list of compiler flags to forward to the build.
2025-09-07T06:38:44.0537040Z     extra_cuda_cflags: optional list of compiler flags to forward to nvcc
2025-09-07T06:38:44.0537310Z         when building CUDA sources.
2025-09-07T06:38:44.0537570Z     extra_sycl_cflags: optional list of compiler flags to forward to SYCL
2025-09-07T06:38:44.0537840Z         compiler when building SYCL sources.
2025-09-07T06:38:44.0538110Z     extra_ldflags: optional list of linker flags to forward to the build.
2025-09-07T06:38:44.0538440Z     extra_include_paths: optional list of include directories to forward
2025-09-07T06:38:44.0538680Z         to the build.
2025-09-07T06:38:44.0538890Z     build_directory: optional path to use as build workspace.
2025-09-07T06:38:44.0539180Z     verbose: If ``True``, turns on verbose logging of load steps.
2025-09-07T06:38:44.0539490Z     with_cuda: Determines whether CUDA headers and libraries are added to
2025-09-07T06:38:44.0539780Z         the build. If set to ``None`` (default), this value is
2025-09-07T06:38:44.0540070Z         automatically determined based on the existence of ``.cu`` or
2025-09-07T06:38:44.0540420Z         ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers
2025-09-07T06:38:44.0540670Z         and libraries to be included.
2025-09-07T06:38:44.0540920Z     with_sycl: Determines whether SYCL headers and libraries are added to
2025-09-07T06:38:44.0541220Z         the build. If set to ``None`` (default), this value is
2025-09-07T06:38:44.0541520Z         automatically determined based on the existence of ``.sycl`` in
2025-09-07T06:38:44.0541820Z         ``sources``. Set it to `True`` to force SYCL headers and
2025-09-07T06:38:44.0542040Z         libraries to be included.
2025-09-07T06:38:44.0542290Z     is_python_module: If ``True`` (default), imports the produced shared
2025-09-07T06:38:44.0542590Z         library as a Python module. If ``False``, behavior depends on
2025-09-07T06:38:44.0542850Z         ``is_standalone``.
2025-09-07T06:38:44.0543070Z     is_standalone: If ``False`` (default) loads the constructed extension
2025-09-07T06:38:44.0543380Z         into the process as a plain dynamic library. If ``True``, build a
2025-09-07T06:38:44.0543630Z         standalone executable.
2025-09-07T06:38:44.0543740Z 
2025-09-07T06:38:44.0543790Z Returns:
2025-09-07T06:38:44.0543920Z     If ``is_python_module`` is ``True``:
2025-09-07T06:38:44.0544150Z         Returns the loaded PyTorch extension as a Python module.
2025-09-07T06:38:44.0544330Z 
2025-09-07T06:38:44.0544450Z     If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``:
2025-09-07T06:38:44.0544770Z         Returns nothing. (The shared library is loaded into the process as
2025-09-07T06:38:44.0545010Z         a side effect.)
2025-09-07T06:38:44.0545110Z 
2025-09-07T06:38:44.0545170Z     If ``is_standalone`` is ``True``.
2025-09-07T06:38:44.0545420Z         Return the path to the executable. (On Windows, TORCH_LIB_PATH is
2025-09-07T06:38:44.0545710Z         added to the PATH environment variable as a side effect.)
2025-09-07T06:38:44.0545890Z 
2025-09-07T06:38:44.0545930Z Example:
2025-09-07T06:38:44.0546050Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:44.0546240Z     >>> from torch.utils.cpp_extension import load
2025-09-07T06:38:44.0546440Z     >>> module = load(
2025-09-07T06:38:44.0546610Z     ...     name='extension',
2025-09-07T06:38:44.0546810Z     ...     sources=['extension.cpp', 'extension_kernel.cu'],
2025-09-07T06:38:44.0547040Z     ...     extra_cflags=['-O2'],
2025-09-07T06:38:44.0547200Z     ...     verbose=True)
2025-09-07T06:38:44.0547300Z 
2025-09-07T06:38:44.0547480Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:44.0547700Z 
2025-09-07T06:38:44.0548080Z msg = Cannot scrape callname=load_inline in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1885.
2025-09-07T06:38:44.0548680Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:44.0548900Z 
2025-09-07T06:38:44.0549030Z Load a PyTorch C++ extension just-in-time (JIT) from string sources.
2025-09-07T06:38:44.0549220Z 
2025-09-07T06:38:44.0549370Z This function behaves exactly like :func:`load`, but takes its sources as
2025-09-07T06:38:44.0549710Z strings rather than filenames. These strings are stored to files in the
2025-09-07T06:38:44.0550040Z build directory, after which the behavior of :func:`load_inline` is
2025-09-07T06:38:44.0550290Z identical to :func:`load`.
2025-09-07T06:38:44.0550390Z 
2025-09-07T06:38:44.0550430Z See `the
2025-09-07T06:38:44.0550700Z tests <https://github.com/pytorch/pytorch/blob/master/test/test_cpp_extensions_jit.py>`_
2025-09-07T06:38:44.0551030Z for good examples of using this function.
2025-09-07T06:38:44.0551170Z 
2025-09-07T06:38:44.0551310Z Sources may omit two required parts of a typical non-inline C++ extension:
2025-09-07T06:38:44.0551660Z the necessary header includes, as well as the (pybind11) binding code. More
2025-09-07T06:38:44.0552020Z precisely, strings passed to ``cpp_sources`` are first concatenated into a
2025-09-07T06:38:44.0552400Z single ``.cpp`` file. This file is then prepended with ``#include
2025-09-07T06:38:44.0552640Z <torch/extension.h>``
2025-09-07T06:38:44.0552740Z 
2025-09-07T06:38:44.0552870Z Furthermore, if the ``functions`` argument is supplied, bindings will be
2025-09-07T06:38:44.0553210Z automatically generated for each function specified. ``functions`` can
2025-09-07T06:38:44.0553540Z either be a list of function names, or a dictionary mapping from function
2025-09-07T06:38:44.0553870Z names to docstrings. If a list is given, the name of each function is used
2025-09-07T06:38:44.0554130Z as its docstring.
2025-09-07T06:38:44.0554210Z 
2025-09-07T06:38:44.0554340Z The sources in ``cuda_sources`` are concatenated into a separate ``.cu``
2025-09-07T06:38:44.0554640Z file and  prepended with ``torch/types.h``, ``cuda.h`` and
2025-09-07T06:38:44.0555080Z ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled
2025-09-07T06:38:44.0555400Z separately, but ultimately linked into a single library. Note that no
2025-09-07T06:38:44.0555740Z bindings are generated for functions in ``cuda_sources`` per se. To bind
2025-09-07T06:38:44.0556070Z to a CUDA kernel, you must create a C++ function that calls it, and either
2025-09-07T06:38:44.0556400Z declare or define this C++ function in one of the ``cpp_sources`` (and
2025-09-07T06:38:44.0556650Z include its name in ``functions``).
2025-09-07T06:38:44.0556780Z 
2025-09-07T06:38:44.0556910Z The sources in ``sycl_sources`` are concatenated into a separate ``.sycl``
2025-09-07T06:38:44.0557240Z file and  prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes.
2025-09-07T06:38:44.0557560Z The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately
2025-09-07T06:38:44.0557880Z linked into a single library. Note that no bindings are generated for
2025-09-07T06:38:44.0558210Z functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must
2025-09-07T06:38:44.0558530Z create a C++ function that calls it, and either declare or define this
2025-09-07T06:38:44.0558830Z C++ function in one of the ``cpp_sources`` (and include its name
2025-09-07T06:38:44.0559060Z in ``functions``).
2025-09-07T06:38:44.0559170Z 
2025-09-07T06:38:44.0559170Z 
2025-09-07T06:38:44.0559170Z 
2025-09-07T06:38:44.0559290Z See :func:`load` for a description of arguments omitted below.
2025-09-07T06:38:44.0559460Z 
2025-09-07T06:38:44.0559510Z Args:
2025-09-07T06:38:44.0559710Z     cpp_sources: A string, or list of strings, containing C++ source code.
2025-09-07T06:38:44.0560060Z     cuda_sources: A string, or list of strings, containing CUDA source code.
2025-09-07T06:38:44.0560400Z     sycl_sources: A string, or list of strings, containing SYCL source code.
2025-09-07T06:38:44.0560730Z     functions: A list of function names for which to generate function
2025-09-07T06:38:44.0561050Z         bindings. If a dictionary is given, it should map function names to
2025-09-07T06:38:44.0561360Z         docstrings (which are otherwise just the function names).
2025-09-07T06:38:44.0561680Z     with_cuda: Determines whether CUDA headers and libraries are added to
2025-09-07T06:38:44.0561980Z         the build. If set to ``None`` (default), this value is
2025-09-07T06:38:44.0562270Z         automatically determined based on whether ``cuda_sources`` is
2025-09-07T06:38:44.0562560Z         provided. Set it to ``True`` to force CUDA headers
2025-09-07T06:38:44.0562770Z         and libraries to be included.
2025-09-07T06:38:44.0563030Z     with_sycl: Determines whether SYCL headers and libraries are added to
2025-09-07T06:38:44.0563330Z         the build. If set to ``None`` (default), this value is
2025-09-07T06:38:44.0563610Z         automatically determined based on whether ``sycl_sources`` is
2025-09-07T06:38:44.0563890Z         provided. Set it to ``True`` to force SYCL headers
2025-09-07T06:38:44.0564110Z         and libraries to be included.
2025-09-07T06:38:44.0564360Z     with_pytorch_error_handling: Determines whether pytorch error and
2025-09-07T06:38:44.0564670Z         warning macros are handled by pytorch instead of pybind. To do
2025-09-07T06:38:44.0565070Z         this, each function ``foo`` is called via an intermediary ``_safe_foo``
2025-09-07T06:38:44.0565400Z         function. This redirection might cause issues in obscure cases
2025-09-07T06:38:44.0565700Z         of cpp. This flag should be set to ``False`` when this redirect
2025-09-07T06:38:44.0565930Z         causes issues.
2025-09-07T06:38:44.0566180Z     no_implicit_headers: If ``True``, skips automatically adding headers, most notably
2025-09-07T06:38:44.0566540Z         ``#include <torch/extension.h>`` and ``#include <torch/types.h>`` lines.
2025-09-07T06:38:44.0566840Z         Use this option to improve cold start times when you
2025-09-07T06:38:44.0567160Z         already include the necessary headers in your source code. Default: ``False``.
2025-09-07T06:38:44.0567420Z 
2025-09-07T06:38:44.0567470Z Example:
2025-09-07T06:38:44.0567630Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-09-07T06:38:44.0567870Z     >>> from torch.utils.cpp_extension import load_inline
2025-09-07T06:38:44.0568080Z     >>> source = """
2025-09-07T06:38:44.0568260Z     at::Tensor sin_add(at::Tensor x, at::Tensor y) {
2025-09-07T06:38:44.0568470Z       return x.sin() + y.sin();
2025-09-07T06:38:44.0568620Z     }
2025-09-07T06:38:44.0568730Z     """
2025-09-07T06:38:44.0568870Z     >>> module = load_inline(name='inline_extension',
2025-09-07T06:38:44.0569090Z     ...                      cpp_sources=[source],
2025-09-07T06:38:44.0569290Z     ...                      functions=['sin_add'])
2025-09-07T06:38:44.0569440Z 
2025-09-07T06:38:44.0569480Z .. note::
2025-09-07T06:38:44.0569690Z     Since load_inline will just-in-time compile the source code, please ensure
2025-09-07T06:38:44.0570050Z     that you have the right toolchains installed in the runtime. For example,
2025-09-07T06:38:44.0570380Z     when loading C++, make sure a C++ compiler is available. If you're loading
2025-09-07T06:38:44.0570730Z     a CUDA extension, you will need to additionally install the corresponding CUDA
2025-09-07T06:38:44.0571090Z     toolkit (nvcc and any other dependencies your code has). Compiling toolchains
2025-09-07T06:38:44.0571480Z     are not included when you install torch and must be additionally installed.
2025-09-07T06:38:44.0571690Z 
2025-09-07T06:38:44.0571850Z     During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build
2025-09-07T06:38:44.0572200Z     the extension. This may use up too many resources on some systems. One
2025-09-07T06:38:44.0572570Z     can control the number of workers by setting the `MAX_JOBS` environment
2025-09-07T06:38:44.0572840Z     variable to a non-negative number.
2025-09-07T06:38:44.0572970Z 
2025-09-07T06:38:44.0573120Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:44.0659890Z 
2025-09-07T06:38:44.0660470Z msg = Cannot scrape callname=DistributedSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/distributed.py line=18.
2025-09-07T06:38:44.0661150Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:44.0661510Z Sampler that restricts data loading to a subset of the dataset.
2025-09-07T06:38:44.0661710Z 
2025-09-07T06:38:44.0661790Z     It is especially useful in conjunction with
2025-09-07T06:38:44.0662090Z     :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each
2025-09-07T06:38:44.0662480Z     process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a
2025-09-07T06:38:44.0662860Z     :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the
2025-09-07T06:38:44.0663150Z     original dataset that is exclusive to it.
2025-09-07T06:38:44.0663300Z 
2025-09-07T06:38:44.0663350Z     .. note::
2025-09-07T06:38:44.0663580Z         Dataset is assumed to be of constant size and that any instance of it always
2025-09-07T06:38:44.0663870Z         returns the same elements in the same order.
2025-09-07T06:38:44.0664020Z 
2025-09-07T06:38:44.0664060Z     Args:
2025-09-07T06:38:44.0664330Z         dataset: Dataset used for sampling.
2025-09-07T06:38:44.0664610Z         num_replicas (int, optional): Number of processes participating in
2025-09-07T06:38:44.0664960Z             distributed training. By default, :attr:`world_size` is retrieved from the
2025-09-07T06:38:44.0665240Z             current distributed group.
2025-09-07T06:38:44.0665510Z         rank (int, optional): Rank of the current process within :attr:`num_replicas`.
2025-09-07T06:38:44.0665850Z             By default, :attr:`rank` is retrieved from the current distributed
2025-09-07T06:38:44.0666090Z             group.
2025-09-07T06:38:44.0666310Z         shuffle (bool, optional): If ``True`` (default), sampler will shuffle the
2025-09-07T06:38:44.0666590Z             indices.
2025-09-07T06:38:44.0666790Z         seed (int, optional): random seed used to shuffle the sampler if
2025-09-07T06:38:44.0667100Z             :attr:`shuffle=True`. This number should be identical across all
2025-09-07T06:38:44.0667390Z             processes in the distributed group. Default: ``0``.
2025-09-07T06:38:44.0667690Z         drop_last (bool, optional): if ``True``, then the sampler will drop the
2025-09-07T06:38:44.0668010Z             tail of the data to make it evenly divisible across the number of
2025-09-07T06:38:44.0668330Z             replicas. If ``False``, the sampler will add extra indices to make
2025-09-07T06:38:44.0668640Z             the data evenly divisible across the replicas. Default: ``False``.
2025-09-07T06:38:44.0668830Z 
2025-09-07T06:38:44.0668890Z     .. warning::
2025-09-07T06:38:44.0669080Z         In distributed mode, calling the :meth:`set_epoch` method at
2025-09-07T06:38:44.0669420Z         the beginning of each epoch **before** creating the :class:`DataLoader` iterator
2025-09-07T06:38:44.0669800Z         is necessary to make shuffling work properly across multiple epochs. Otherwise,
2025-09-07T06:38:44.0670090Z         the same ordering will be always used.
2025-09-07T06:38:44.0670230Z 
2025-09-07T06:38:44.0670280Z     Example::
2025-09-07T06:38:44.0670360Z 
2025-09-07T06:38:44.0670480Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:44.0670720Z         >>> sampler = DistributedSampler(dataset) if is_distributed else None
2025-09-07T06:38:44.0671030Z         >>> loader = DataLoader(dataset, shuffle=(sampler is None),
2025-09-07T06:38:44.0671270Z         ...                     sampler=sampler)
2025-09-07T06:38:44.0671480Z         >>> for epoch in range(start_epoch, n_epochs):
2025-09-07T06:38:44.0671710Z         ...     if is_distributed:
2025-09-07T06:38:44.0671900Z         ...         sampler.set_epoch(epoch)
2025-09-07T06:38:44.0672080Z         ...     train(loader)
2025-09-07T06:38:44.0672220Z     
2025-09-07T06:38:44.0672430Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:44.0672650Z 
2025-09-07T06:38:44.0673070Z msg = Cannot scrape callname=WeightedRandomSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/sampler.py line=227.
2025-09-07T06:38:44.0673690Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:44.0674060Z Samples elements from ``[0,..,len(weights)-1]`` with given probabilities (weights).
2025-09-07T06:38:44.0674280Z 
2025-09-07T06:38:44.0674330Z     Args:
2025-09-07T06:38:44.0674540Z         weights (sequence)   : a sequence of weights, not necessary summing up to one
2025-09-07T06:38:44.0674840Z         num_samples (int): number of samples to draw
2025-09-07T06:38:44.0675110Z         replacement (bool): if ``True``, samples are drawn with replacement.
2025-09-07T06:38:44.0675430Z             If not, they are drawn without replacement, which means that when a
2025-09-07T06:38:44.0675760Z             sample index is drawn for a row, it cannot be drawn again for that row.
2025-09-07T06:38:44.0676050Z         generator (Generator): Generator used in sampling.
2025-09-07T06:38:44.0676210Z 
2025-09-07T06:38:44.0676260Z     Example:
2025-09-07T06:38:44.0676450Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-09-07T06:38:44.0676650Z         >>> list(
2025-09-07T06:38:44.0676790Z         ...     WeightedRandomSampler(
2025-09-07T06:38:44.0677000Z         ...         [0.1, 0.9, 0.4, 0.7, 3.0, 0.6], 5, replacement=True
2025-09-07T06:38:44.0677200Z         ...     )
2025-09-07T06:38:44.0677320Z         ... )
2025-09-07T06:38:44.0677440Z         [4, 4, 1, 4, 5]
2025-09-07T06:38:44.0677570Z         >>> list(
2025-09-07T06:38:44.0677710Z         ...     WeightedRandomSampler(
2025-09-07T06:38:44.0677920Z         ...         [0.9, 0.4, 0.05, 0.2, 0.3, 0.1], 5, replacement=False
2025-09-07T06:38:44.0678120Z         ...     )
2025-09-07T06:38:44.0678240Z         ... )
2025-09-07T06:38:44.0678380Z         [0, 1, 4, 3, 2]
2025-09-07T06:38:44.0678500Z     
2025-09-07T06:38:44.0678720Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:44.0678930Z 
2025-09-07T06:38:44.0679320Z msg = Cannot scrape callname=BatchSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/sampler.py line=300.
2025-09-07T06:38:44.0679920Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:44.0680270Z Wraps another sampler to yield a mini-batch of indices.
2025-09-07T06:38:44.0680440Z 
2025-09-07T06:38:44.0680490Z     Args:
2025-09-07T06:38:44.0680690Z         sampler (Sampler or Iterable): Base sampler. Can be any iterable object
2025-09-07T06:38:44.0680960Z         batch_size (int): Size of mini-batch.
2025-09-07T06:38:44.0681230Z         drop_last (bool): If ``True``, the sampler will drop the last batch if
2025-09-07T06:38:44.0681490Z             its size would be less than ``batch_size``
2025-09-07T06:38:44.0681640Z 
2025-09-07T06:38:44.0681690Z     Example:
2025-09-07T06:38:44.0681800Z         >>> list(
2025-09-07T06:38:44.0681930Z         ...     BatchSampler(
2025-09-07T06:38:44.0682160Z         ...         SequentialSampler(range(10)), batch_size=3, drop_last=False
2025-09-07T06:38:44.0682450Z         ...     )
2025-09-07T06:38:44.0682560Z         ... )
2025-09-07T06:38:44.0682690Z         [[0, 1, 2], [3, 4, 5], [6, 7, 8], [9]]
2025-09-07T06:38:44.0682860Z         >>> list(
2025-09-07T06:38:44.0683090Z         ...     BatchSampler(SequentialSampler(range(10)), batch_size=3, drop_last=True)
2025-09-07T06:38:44.0683350Z         ... )
2025-09-07T06:38:44.0683500Z         [[0, 1, 2], [3, 4, 5], [6, 7, 8]]
2025-09-07T06:38:44.0683670Z     
2025-09-07T06:38:44.0687780Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:44.0688010Z 
2025-09-07T06:38:44.0688420Z msg = Cannot scrape callname=IterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py line=56.
2025-09-07T06:38:44.0689050Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:44.0689270Z 
2025-09-07T06:38:44.0689330Z Iterable-style DataPipe.
2025-09-07T06:38:44.0689440Z 
2025-09-07T06:38:44.0689590Z All DataPipes that represent an iterable of data samples should subclass this.
2025-09-07T06:38:44.0689960Z This style of DataPipes is particularly useful when data come from a stream, or
2025-09-07T06:38:44.0690380Z when the number of samples is too large to fit them all in memory. ``IterDataPipe`` is lazily initialized and its
2025-09-07T06:38:44.0690830Z elements are computed only when ``next()`` is called on the iterator of an ``IterDataPipe``.
2025-09-07T06:38:44.0691070Z 
2025-09-07T06:38:44.0691210Z All subclasses should overwrite :meth:`__iter__`, which would return an
2025-09-07T06:38:44.0691620Z iterator of samples in this DataPipe. Calling ``__iter__`` of an ``IterDataPipe`` automatically invokes its
2025-09-07T06:38:44.0692100Z method ``reset()``, which by default performs no operation. When writing a custom ``IterDataPipe``, users should
2025-09-07T06:38:44.0692600Z override ``reset()`` if necessary. The common usages include resetting buffers, pointers,
2025-09-07T06:38:44.0692960Z and various state variables within the custom ``IterDataPipe``.
2025-09-07T06:38:44.0693140Z 
2025-09-07T06:38:44.0693180Z Note:
2025-09-07T06:38:44.0693370Z     Only `one` iterator can be valid for each ``IterDataPipe`` at a time,
2025-09-07T06:38:44.0693770Z     and the creation a second iterator will invalidate the first one. This constraint is necessary because
2025-09-07T06:38:44.0694260Z     some ``IterDataPipe`` have internal buffers, whose states can become invalid if there are multiple iterators.
2025-09-07T06:38:44.0694710Z     The code example below presents details on how this constraint looks in practice.
2025-09-07T06:38:44.0695170Z     If you have any feedback related to this constraint, please see `GitHub IterDataPipe Single Iterator Issue`_.
2025-09-07T06:38:44.0695450Z 
2025-09-07T06:38:44.0695620Z These DataPipes can be invoked in two ways, using the class constructor or applying their
2025-09-07T06:38:44.0696070Z functional form onto an existing ``IterDataPipe`` (recommended, available to most but not all DataPipes).
2025-09-07T06:38:44.0696530Z You can chain multiple `IterDataPipe` together to form a pipeline that will perform multiple
2025-09-07T06:38:44.0696830Z operations in succession.
2025-09-07T06:38:44.0696940Z 
2025-09-07T06:38:44.0697020Z .. _GitHub IterDataPipe Single Iterator Issue:
2025-09-07T06:38:44.0697250Z     https://github.com/pytorch/data/issues/45
2025-09-07T06:38:44.0697390Z 
2025-09-07T06:38:44.0697430Z Note:
2025-09-07T06:38:44.0697630Z     When a subclass is used with :class:`~torch.utils.data.DataLoader`, each
2025-09-07T06:38:44.0698000Z     item in the DataPipe will be yielded from the :class:`~torch.utils.data.DataLoader`
2025-09-07T06:38:44.0698360Z     iterator. When :attr:`num_workers > 0`, each worker process will have a
2025-09-07T06:38:44.0698700Z     different copy of the DataPipe object, so it is often desired to configure
2025-09-07T06:38:44.0699050Z     each copy independently to avoid having duplicate data returned from the
2025-09-07T06:38:44.0699460Z     workers. :func:`~torch.utils.data.get_worker_info`, when called in a worker
2025-09-07T06:38:44.0699820Z     process, returns information about the worker. It can be used in either the
2025-09-07T06:38:44.0700190Z     dataset's :meth:`__iter__` method or the :class:`~torch.utils.data.DataLoader` 's
2025-09-07T06:38:44.0700530Z     :attr:`worker_init_fn` option to modify each copy's behavior.
2025-09-07T06:38:44.0700710Z 
2025-09-07T06:38:44.0700760Z Examples:
2025-09-07T06:38:44.0700870Z     General Usage:
2025-09-07T06:38:44.0701010Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:44.0701240Z         >>> from torchdata.datapipes.iter import IterableWrapper, Mapper
2025-09-07T06:38:44.0701500Z         >>> dp = IterableWrapper(range(10))
2025-09-07T06:38:44.0701750Z         >>> map_dp_1 = Mapper(dp, lambda x: x + 1)  # Using class constructor
2025-09-07T06:38:44.0701990Z         >>> map_dp_2 = dp.map(
2025-09-07T06:38:44.0702150Z         ...     lambda x: x + 1
2025-09-07T06:38:44.0702340Z         ... )  # Using functional form (recommended)
2025-09-07T06:38:44.0702530Z         >>> list(map_dp_1)
2025-09-07T06:38:44.0702680Z         [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
2025-09-07T06:38:44.0702850Z         >>> list(map_dp_2)
2025-09-07T06:38:44.0703000Z         [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
2025-09-07T06:38:44.0703200Z         >>> filter_dp = map_dp_1.filter(lambda x: x % 2 == 0)
2025-09-07T06:38:44.0703410Z         >>> list(filter_dp)
2025-09-07T06:38:44.0703560Z         [2, 4, 6, 8, 10]
2025-09-07T06:38:44.0703720Z     Single Iterator Constraint Example:
2025-09-07T06:38:44.0703970Z         >>> from torchdata.datapipes.iter import IterableWrapper, Mapper
2025-09-07T06:38:44.0704240Z         >>> source_dp = IterableWrapper(range(10))
2025-09-07T06:38:44.0704440Z         >>> it1 = iter(source_dp)
2025-09-07T06:38:44.0704600Z         >>> list(it1)
2025-09-07T06:38:44.0704740Z         [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
2025-09-07T06:38:44.0704960Z         >>> it1 = iter(source_dp)
2025-09-07T06:38:44.0705130Z         >>> it2 = iter(
2025-09-07T06:38:44.0705260Z         ...     source_dp
2025-09-07T06:38:44.0705460Z         ... )  # The creation of a new iterator invalidates `it1`
2025-09-07T06:38:44.0705660Z         >>> next(it2)
2025-09-07T06:38:44.0705790Z         0
2025-09-07T06:38:44.0705970Z         >>> next(it1)  # Further usage of `it1` will raise a `RunTimeError`
2025-09-07T06:38:44.0706150Z 
2025-09-07T06:38:44.0706300Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:44.0918290Z 
2025-09-07T06:38:44.0918950Z msg = Cannot scrape callname=FileOpenerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py line=18.
2025-09-07T06:38:44.0919780Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:44.0920010Z 
2025-09-07T06:38:44.0920240Z Given pathnames, opens files and yield pathname and file stream in a tuple (functional name: ``open_files``).
2025-09-07T06:38:44.0920570Z 
2025-09-07T06:38:44.0920610Z Args:
2025-09-07T06:38:44.0920780Z     datapipe: Iterable datapipe that provides pathnames
2025-09-07T06:38:44.0921070Z     mode: An optional string that specifies the mode in which
2025-09-07T06:38:44.0921380Z         the file is opened by ``open()``. It defaults to ``r``, other options are
2025-09-07T06:38:44.0921690Z         ``b`` for reading in binary mode and ``t`` for text mode.
2025-09-07T06:38:44.0921990Z     encoding: An optional string that specifies the encoding of the
2025-09-07T06:38:44.0922340Z         underlying file. It defaults to ``None`` to match the default encoding of ``open``.
2025-09-07T06:38:44.0922650Z     length: Nominal length of the datapipe
2025-09-07T06:38:44.0922790Z 
2025-09-07T06:38:44.0922830Z Note:
2025-09-07T06:38:44.0923060Z     The opened file handles will be closed by Python's GC periodically. Users can choose
2025-09-07T06:38:44.0923340Z     to close them explicitly.
2025-09-07T06:38:44.0923520Z 
2025-09-07T06:38:44.0923560Z Example:
2025-09-07T06:38:44.0923680Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:44.0923850Z     >>> from torchdata.datapipes.iter import (
2025-09-07T06:38:44.0924050Z     ...     FileLister,
2025-09-07T06:38:44.0924190Z     ...     FileOpener,
2025-09-07T06:38:44.0924330Z     ...     StreamReader,
2025-09-07T06:38:44.0924470Z     ... )
2025-09-07T06:38:44.0924730Z     >>> dp = FileLister(root=".").filter(lambda fname: fname.endswith(".txt"))
2025-09-07T06:38:44.0924990Z     >>> dp = FileOpener(dp)
2025-09-07T06:38:44.0925150Z     >>> dp = StreamReader(dp)
2025-09-07T06:38:44.0925300Z     >>> list(dp)
2025-09-07T06:38:44.0925430Z     [('./abc.txt', 'abc')]
2025-09-07T06:38:44.0925530Z 
2025-09-07T06:38:44.0925680Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:44.0925900Z 
2025-09-07T06:38:44.0926350Z msg = Cannot scrape callname=GrouperIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py line=155.
2025-09-07T06:38:44.0927020Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:44.0927240Z 
2025-09-07T06:38:44.0927490Z Groups data from IterDataPipe by keys from ``group_key_fn``, yielding a ``DataChunk`` with batch size up to ``group_size``.
2025-09-07T06:38:44.0927790Z 
2025-09-07T06:38:44.0927850Z (functional name: ``groupby``).
2025-09-07T06:38:44.0927960Z 
2025-09-07T06:38:44.0928190Z The samples are read sequentially from the source ``datapipe``, and a batch of samples belonging to the same group
2025-09-07T06:38:44.0928660Z will be yielded as soon as the size of the batch reaches ``group_size``. When the buffer is full,
2025-09-07T06:38:44.0929090Z the DataPipe will yield the largest batch with the same key, provided that its size is larger
2025-09-07T06:38:44.0929590Z than ``guaranteed_group_size``. If its size is smaller, it will be dropped if ``drop_remaining=True``.
2025-09-07T06:38:44.0929860Z 
2025-09-07T06:38:44.0930080Z After iterating through the entirety of source ``datapipe``, everything not dropped due to the buffer capacity
2025-09-07T06:38:44.0930560Z will be yielded from the buffer, even if the group sizes are smaller than ``guaranteed_group_size``.
2025-09-07T06:38:44.0930810Z 
2025-09-07T06:38:44.0930860Z Args:
2025-09-07T06:38:44.0931000Z     datapipe: Iterable datapipe to be grouped
2025-09-07T06:38:44.0931340Z     group_key_fn: Function used to generate group key from the data of the source datapipe
2025-09-07T06:38:44.0931710Z     keep_key: Option to yield the matching key along with the items in a tuple,
2025-09-07T06:38:44.0932090Z         resulting in `(key, [items])` otherwise returning [items]
2025-09-07T06:38:44.0932350Z     buffer_size: The size of buffer for ungrouped data
2025-09-07T06:38:44.0932680Z     group_size: The max size of each group, a batch is yielded as soon as it reaches this size
2025-09-07T06:38:44.0933120Z     guaranteed_group_size: The guaranteed minimum group size to be yielded in case the buffer is full
2025-09-07T06:38:44.0933590Z     drop_remaining: Specifies if the group smaller than ``guaranteed_group_size`` will be dropped from buffer
2025-09-07T06:38:44.0933920Z         when the buffer is full
2025-09-07T06:38:44.0934040Z 
2025-09-07T06:38:44.0934080Z Example:
2025-09-07T06:38:44.0934190Z     >>> import os
2025-09-07T06:38:44.0934320Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:44.0934530Z     >>> from torchdata.datapipes.iter import IterableWrapper
2025-09-07T06:38:44.0934750Z     >>> def group_fn(file):
2025-09-07T06:38:44.0934940Z     ...     return os.path.basename(file).split(".")[0]
2025-09-07T06:38:44.0935150Z     >>> source_dp = IterableWrapper(
2025-09-07T06:38:44.0935380Z     ...     ["a.png", "b.png", "a.json", "b.json", "a.jpg", "c.json"]
2025-09-07T06:38:44.0935580Z     ... )
2025-09-07T06:38:44.0935740Z     >>> dp0 = source_dp.groupby(group_key_fn=group_fn)
2025-09-07T06:38:44.0935930Z     >>> list(dp0)
2025-09-07T06:38:44.0936170Z     [['a.png', 'a.json', 'a.jpg'], ['b.png', 'b.json'], ['c.json']]
2025-09-07T06:38:44.0936450Z     >>> # A group is yielded as soon as its size equals to `group_size`
2025-09-07T06:38:44.0936740Z     >>> dp1 = source_dp.groupby(group_key_fn=group_fn, group_size=2)
2025-09-07T06:38:44.0936960Z     >>> list(dp1)
2025-09-07T06:38:44.0937160Z     [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']]
2025-09-07T06:38:44.0937550Z     >>> # Scenario where `buffer` is full, and group 'a' needs to be yielded since its size > `guaranteed_group_size`
2025-09-07T06:38:44.0937880Z     >>> dp2 = source_dp.groupby(
2025-09-07T06:38:44.0938060Z     ...     group_key_fn=group_fn,
2025-09-07T06:38:44.0938230Z     ...     buffer_size=3,
2025-09-07T06:38:44.0938380Z     ...     group_size=3,
2025-09-07T06:38:44.0938580Z     ...     guaranteed_group_size=2,
2025-09-07T06:38:44.0938750Z     ... )
2025-09-07T06:38:44.0938850Z     >>> list(dp2)
2025-09-07T06:38:44.0939030Z     [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']]
2025-09-07T06:38:44.0939200Z 
2025-09-07T06:38:44.0939380Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:44.0939600Z 
2025-09-07T06:38:44.0940080Z msg = Cannot scrape callname=DemultiplexerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=375.
2025-09-07T06:38:44.0940760Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:44.0940760Z 
2025-09-07T06:38:44.0941030Z Splits the input DataPipe into multiple child DataPipes, using the given classification function (functional name: ``demux``).
2025-09-07T06:38:44.0941040Z 
2025-09-07T06:38:44.0941150Z A list of the child DataPipes is returned from this operation.
2025-09-07T06:38:44.0941150Z 
2025-09-07T06:38:44.0941190Z Args:
2025-09-07T06:38:44.0941310Z     datapipe: Iterable DataPipe being filtered
2025-09-07T06:38:44.0941430Z     num_instances: number of instances of the DataPipe to create
2025-09-07T06:38:44.0941650Z     classifier_fn: a function that maps values to an integer within the range ``[0, num_instances - 1]`` or ``None``
2025-09-07T06:38:44.0941850Z     drop_none: defaults to ``False``, if ``True``, the function will skip over elements classified as ``None``
2025-09-07T06:38:44.0942040Z     buffer_size: this defines the maximum number of inputs that the buffer can hold across all child
2025-09-07T06:38:44.0942160Z         DataPipes while waiting for their values to be yielded.
2025-09-07T06:38:44.0942260Z         Defaults to ``1000``. Use ``-1`` for the unlimited buffer.
2025-09-07T06:38:44.0942280Z 
2025-09-07T06:38:44.0942330Z Examples:
2025-09-07T06:38:44.0942410Z     >>> # xdoctest: +REQUIRES(module:torchdata)
2025-09-07T06:38:44.0942520Z     >>> from torchdata.datapipes.iter import IterableWrapper
2025-09-07T06:38:44.0942570Z     >>> def odd_or_even(n):
2025-09-07T06:38:44.0942620Z     ...     return n % 2
2025-09-07T06:38:44.0942690Z     >>> source_dp = IterableWrapper(range(5))
2025-09-07T06:38:44.0942820Z     >>> dp1, dp2 = source_dp.demux(num_instances=2, classifier_fn=odd_or_even)
2025-09-07T06:38:44.0942870Z     >>> list(dp1)
2025-09-07T06:38:44.0942910Z     [0, 2, 4]
2025-09-07T06:38:44.0942950Z     >>> list(dp2)
2025-09-07T06:38:44.0942990Z     [1, 3]
2025-09-07T06:38:44.0943140Z     >>> # It can also filter out any element that gets `None` from the `classifier_fn`
2025-09-07T06:38:44.0943200Z     >>> def odd_or_even_no_zero(n):
2025-09-07T06:38:44.0943270Z     ...     return n % 2 if n != 0 else None
2025-09-07T06:38:44.0943330Z     >>> dp1, dp2 = source_dp.demux(
2025-09-07T06:38:44.0943460Z     ...     num_instances=2, classifier_fn=odd_or_even_no_zero, drop_none=True
2025-09-07T06:38:44.0943500Z     ... )
2025-09-07T06:38:44.0943540Z     >>> list(dp1)
2025-09-07T06:38:44.0943580Z     [2, 4]
2025-09-07T06:38:44.0943630Z     >>> list(dp2)
2025-09-07T06:38:44.0943880Z     [1, 3]
2025-09-07T06:38:44.0943880Z 
2025-09-07T06:38:44.0944050Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:44.0944060Z 
2025-09-07T06:38:44.0944520Z msg = Cannot scrape callname=MultiplexerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=594.
2025-09-07T06:38:44.0944720Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:44.0944730Z 
2025-09-07T06:38:44.0944920Z Yields one element at a time from each of the input Iterable DataPipes (functional name: ``mux``).
2025-09-07T06:38:44.0944920Z 
2025-09-07T06:38:44.0945130Z As in, one element from the 1st input DataPipe, then one element from the 2nd DataPipe in the next iteration,
2025-09-07T06:38:44.0945240Z and so on. It ends when the shortest input DataPipe is exhausted.
2025-09-07T06:38:44.0945250Z 
2025-09-07T06:38:44.0945290Z Args:
2025-09-07T06:38:44.0945530Z     datapipes: Iterable DataPipes that will take turn to yield their elements, until the shortest DataPipe is exhausted
2025-09-07T06:38:44.0945530Z 
2025-09-07T06:38:44.0945570Z Example:
2025-09-07T06:38:44.0945650Z     >>> # xdoctest: +REQUIRES(module:torchdata)
2025-09-07T06:38:44.0945750Z     >>> from torchdata.datapipes.iter import IterableWrapper
2025-09-07T06:38:44.0945800Z     >>> dp1, dp2, dp3 = (
2025-09-07T06:38:44.0945870Z     ...     IterableWrapper(range(3)),
2025-09-07T06:38:44.0945940Z     ...     IterableWrapper(range(10, 15)),
2025-09-07T06:38:44.0946000Z     ...     IterableWrapper(range(20, 25)),
2025-09-07T06:38:44.0946040Z     ... )
2025-09-07T06:38:44.0946100Z     >>> list(dp1.mux(dp2, dp3))
2025-09-07T06:38:44.0946150Z     [0, 10, 20, 1, 11, 21, 2, 12, 22]
2025-09-07T06:38:44.0946150Z 
2025-09-07T06:38:44.0946300Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:44.0946300Z 
2025-09-07T06:38:44.0946780Z msg = Cannot scrape callname=ZipperIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=665.
2025-09-07T06:38:44.0946940Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:44.0946940Z 
2025-09-07T06:38:44.0947130Z Aggregates elements into a tuple from each of the input DataPipes (functional name: ``zip``).
2025-09-07T06:38:44.0947140Z 
2025-09-07T06:38:44.0947270Z The output is stopped as soon as the shortest input DataPipe is exhausted.
2025-09-07T06:38:44.0947280Z 
2025-09-07T06:38:44.0947320Z Args:
2025-09-07T06:38:44.0947400Z     *datapipes: Iterable DataPipes being aggregated
2025-09-07T06:38:44.0947420Z 
2025-09-07T06:38:44.0947470Z Example:
2025-09-07T06:38:44.0947540Z     >>> # xdoctest: +REQUIRES(module:torchdata)
2025-09-07T06:38:44.0947640Z     >>> from torchdata.datapipes.iter import IterableWrapper
2025-09-07T06:38:44.0947700Z     >>> dp1, dp2, dp3 = (
2025-09-07T06:38:44.0947760Z     ...     IterableWrapper(range(5)),
2025-09-07T06:38:44.0947820Z     ...     IterableWrapper(range(10, 15)),
2025-09-07T06:38:44.0947890Z     ...     IterableWrapper(range(20, 25)),
2025-09-07T06:38:44.0947930Z     ... )
2025-09-07T06:38:44.0947990Z     >>> list(dp1.zip(dp2, dp3))
2025-09-07T06:38:44.0948070Z     [(0, 10, 20), (1, 11, 21), (2, 12, 22), (3, 13, 23), (4, 14, 24)]
2025-09-07T06:38:44.0948080Z 
2025-09-07T06:38:44.0948220Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:44.0948230Z 
2025-09-07T06:38:44.7399620Z msg = Cannot scrape callname=assert_close in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_comparison.py line=1331.
2025-09-07T06:38:44.7400300Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:44.7400640Z Asserts that ``actual`` and ``expected`` are close.
2025-09-07T06:38:44.7400880Z 
2025-09-07T06:38:44.7401120Z     If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if
2025-09-07T06:38:44.7401630Z 
2025-09-07T06:38:44.7401700Z     .. math::
2025-09-07T06:38:44.7401780Z 
2025-09-07T06:38:44.7402020Z         \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert
2025-09-07T06:38:44.7402320Z 
2025-09-07T06:38:44.7402590Z     Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are
2025-09-07T06:38:44.7403000Z     only considered equal to each other if ``equal_nan`` is ``True``.
2025-09-07T06:38:44.7403200Z 
2025-09-07T06:38:44.7403330Z     In addition, they are only considered close if they have the same
2025-09-07T06:38:44.7403520Z 
2025-09-07T06:38:44.7403650Z     - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``),
2025-09-07T06:38:44.7403920Z     - ``dtype`` (if ``check_dtype`` is ``True``),
2025-09-07T06:38:44.7404160Z     - ``layout`` (if ``check_layout`` is ``True``), and
2025-09-07T06:38:44.7404400Z     - stride (if ``check_stride`` is ``True``).
2025-09-07T06:38:44.7404550Z 
2025-09-07T06:38:44.7404740Z     If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed.
2025-09-07T06:38:44.7405000Z 
2025-09-07T06:38:44.7405230Z     If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are
2025-09-07T06:38:44.7405780Z     checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR,
2025-09-07T06:38:44.7406220Z     or ``ccol_indices``  and ``row_indices`` for CSC and BSC layouts, respectively,
2025-09-07T06:38:44.7406670Z     are always checked for equality whereas the values are checked for closeness according to the definition above.
2025-09-07T06:38:44.7406970Z 
2025-09-07T06:38:44.7407260Z     If ``actual`` and ``expected`` are quantized, they are considered close if they have the same
2025-09-07T06:38:44.7407730Z     :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the
2025-09-07T06:38:44.7408070Z     definition above.
2025-09-07T06:38:44.7408170Z 
2025-09-07T06:38:44.7408350Z     ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which
2025-09-07T06:38:44.7408830Z     :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types
2025-09-07T06:38:44.7409340Z     have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s
2025-09-07T06:38:44.7409850Z     or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all
2025-09-07T06:38:44.7410370Z     their elements are considered close according to the above definition.
2025-09-07T06:38:44.7410580Z 
2025-09-07T06:38:44.7410630Z     .. note::
2025-09-07T06:38:44.7410710Z 
2025-09-07T06:38:44.7410910Z         Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e.
2025-09-07T06:38:44.7411380Z         :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus,
2025-09-07T06:38:44.7411810Z         Python scalars of different types can be checked, but require ``check_dtype=False``.
2025-09-07T06:38:44.7412040Z 
2025-09-07T06:38:44.7412080Z     Args:
2025-09-07T06:38:44.7412210Z         actual (Any): Actual input.
2025-09-07T06:38:44.7412400Z         expected (Any): Expected input.
2025-09-07T06:38:44.7412760Z         allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types
2025-09-07T06:38:44.7413130Z             are allowed. Otherwise type equality is required.
2025-09-07T06:38:44.7413510Z         rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default
2025-09-07T06:38:44.7413950Z             values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-09-07T06:38:44.7414420Z         atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default
2025-09-07T06:38:44.7414850Z             values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-09-07T06:38:44.7415380Z         equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal.
2025-09-07T06:38:44.7415790Z         check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same
2025-09-07T06:38:44.7416180Z             :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different
2025-09-07T06:38:44.7416550Z             :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared.
2025-09-07T06:38:44.7416970Z         check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this
2025-09-07T06:38:44.7417440Z             check is disabled, tensors with different ``dtype``'s are promoted  to a common ``dtype`` (according to
2025-09-07T06:38:44.7417820Z             :func:`torch.promote_types`) before being compared.
2025-09-07T06:38:44.7418200Z         check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this
2025-09-07T06:38:44.7418670Z             check is disabled, tensors with different ``layout``'s are converted to strided tensors before being
2025-09-07T06:38:44.7418980Z             compared.
2025-09-07T06:38:44.7419290Z         check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride.
2025-09-07T06:38:44.7419790Z         msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during
2025-09-07T06:38:44.7420280Z             the comparison. Can also passed as callable in which case it will be called with the generated message and
2025-09-07T06:38:44.7420690Z             should return the new message.
2025-09-07T06:38:44.7420820Z 
2025-09-07T06:38:44.7420870Z     Raises:
2025-09-07T06:38:44.7421080Z         ValueError: If no :class:`torch.Tensor` can be constructed from an input.
2025-09-07T06:38:44.7421390Z         ValueError: If only ``rtol`` or ``atol`` is specified.
2025-09-07T06:38:44.7421760Z         AssertionError: If corresponding inputs are not Python scalars and are not directly related.
2025-09-07T06:38:44.7422230Z         AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have
2025-09-07T06:38:44.7422590Z             different types.
2025-09-07T06:38:44.7422910Z         AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match.
2025-09-07T06:38:44.7423440Z         AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match.
2025-09-07T06:38:44.7423910Z         AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`.
2025-09-07T06:38:44.7424350Z         AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same
2025-09-07T06:38:44.7424670Z             :attr:`~torch.Tensor.layout`.
2025-09-07T06:38:44.7424940Z         AssertionError: If only one of corresponding tensors is quantized.
2025-09-07T06:38:44.7425370Z         AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s.
2025-09-07T06:38:44.7425830Z         AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same
2025-09-07T06:38:44.7426140Z             :attr:`~torch.Tensor.device`.
2025-09-07T06:38:44.7426470Z         AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``.
2025-09-07T06:38:44.7426950Z         AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride.
2025-09-07T06:38:44.7427450Z         AssertionError: If the values of corresponding tensors are not close according to the definition above.
2025-09-07T06:38:44.7427790Z 
2025-09-07T06:38:44.7428020Z     The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching
2025-09-07T06:38:44.7428390Z     ``dtype``'s, the maximum of both tolerances is used.
2025-09-07T06:38:44.7434920Z 
2025-09-07T06:38:44.7435100Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7435330Z     | ``dtype``                 | ``rtol``   | ``atol`` |
2025-09-07T06:38:44.7435540Z     +===========================+============+==========+
2025-09-07T06:38:44.7435750Z     | :attr:`~torch.float16`    | ``1e-3``   | ``1e-5`` |
2025-09-07T06:38:44.7435980Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7436200Z     | :attr:`~torch.bfloat16`   | ``1.6e-2`` | ``1e-5`` |
2025-09-07T06:38:44.7436420Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7436640Z     | :attr:`~torch.float32`    | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:44.7436860Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7437080Z     | :attr:`~torch.float64`    | ``1e-7``   | ``1e-7`` |
2025-09-07T06:38:44.7437290Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7437520Z     | :attr:`~torch.complex32`  | ``1e-3``   | ``1e-5`` |
2025-09-07T06:38:44.7437750Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7437970Z     | :attr:`~torch.complex64`  | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:44.7438190Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7438410Z     | :attr:`~torch.complex128` | ``1e-7``   | ``1e-7`` |
2025-09-07T06:38:44.7438640Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7438850Z     | :attr:`~torch.quint8`     | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:44.7439120Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7439350Z     | :attr:`~torch.quint2x4`   | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:44.7439570Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7439790Z     | :attr:`~torch.quint4x2`   | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:44.7440010Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7440230Z     | :attr:`~torch.qint8`      | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:44.7440450Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7440670Z     | :attr:`~torch.qint32`     | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:44.7440890Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7441120Z     | other                     | ``0.0``    | ``0.0``  |
2025-09-07T06:38:44.7441330Z     +---------------------------+------------+----------+
2025-09-07T06:38:44.7441470Z 
2025-09-07T06:38:44.7441520Z     .. note::
2025-09-07T06:38:44.7441600Z 
2025-09-07T06:38:44.7441830Z         :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged
2025-09-07T06:38:44.7442340Z         to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might
2025-09-07T06:38:44.7442770Z         define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default:
2025-09-07T06:38:44.7443000Z 
2025-09-07T06:38:44.7443050Z         >>> import functools
2025-09-07T06:38:44.7443320Z         >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0)
2025-09-07T06:38:44.7443610Z         >>> assert_equal(1e-9, 1e-10)
2025-09-07T06:38:44.7443810Z         Traceback (most recent call last):
2025-09-07T06:38:44.7443990Z         ...
2025-09-07T06:38:44.7444140Z         AssertionError: Scalars are not equal!
2025-09-07T06:38:44.7444330Z         <BLANKLINE>
2025-09-07T06:38:44.7444470Z         Expected 1e-10 but got 1e-09.
2025-09-07T06:38:44.7444670Z         Absolute difference: 9.000000000000001e-10
2025-09-07T06:38:44.7444870Z         Relative difference: 9.0
2025-09-07T06:38:44.7445010Z 
2025-09-07T06:38:44.7445060Z     Examples:
2025-09-07T06:38:44.7445190Z         >>> # tensor to tensor comparison
2025-09-07T06:38:44.7445400Z         >>> expected = torch.tensor([1e0, 1e-1, 1e-2])
2025-09-07T06:38:44.7445630Z         >>> actual = torch.acos(torch.cos(expected))
2025-09-07T06:38:44.7445870Z         >>> torch.testing.assert_close(actual, expected)
2025-09-07T06:38:44.7446040Z 
2025-09-07T06:38:44.7446100Z         >>> # scalar to scalar comparison
2025-09-07T06:38:44.7446280Z         >>> import math
2025-09-07T06:38:44.7446430Z         >>> expected = math.sqrt(2.0)
2025-09-07T06:38:44.7446610Z         >>> actual = 2.0 / math.sqrt(2.0)
2025-09-07T06:38:44.7446830Z         >>> torch.testing.assert_close(actual, expected)
2025-09-07T06:38:44.7446980Z 
2025-09-07T06:38:44.7447060Z         >>> # numpy array to numpy array comparison
2025-09-07T06:38:44.7447260Z         >>> import numpy as np
2025-09-07T06:38:44.7447440Z         >>> expected = np.array([1e0, 1e-1, 1e-2])
2025-09-07T06:38:44.7447650Z         >>> actual = np.arccos(np.cos(expected))
2025-09-07T06:38:44.7447880Z         >>> torch.testing.assert_close(actual, expected)
2025-09-07T06:38:44.7448030Z 
2025-09-07T06:38:44.7448100Z         >>> # sequence to sequence comparison
2025-09-07T06:38:44.7448290Z         >>> import numpy as np
2025-09-07T06:38:44.7448560Z         >>> # The types of the sequences do not have to match. They only have to have the same
2025-09-07T06:38:44.7448870Z         >>> # length and their elements have to match.
2025-09-07T06:38:44.7449100Z         >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)]
2025-09-07T06:38:44.7449320Z         >>> actual = tuple(expected)
2025-09-07T06:38:44.7449530Z         >>> torch.testing.assert_close(actual, expected)
2025-09-07T06:38:44.7449680Z 
2025-09-07T06:38:44.7449750Z         >>> # mapping to mapping comparison
2025-09-07T06:38:44.7449990Z         >>> from collections import OrderedDict
2025-09-07T06:38:44.7450190Z         >>> import numpy as np
2025-09-07T06:38:44.7450350Z         >>> foo = torch.tensor(1.0)
2025-09-07T06:38:44.7450520Z         >>> bar = 2.0
2025-09-07T06:38:44.7450660Z         >>> baz = np.array(3.0)
2025-09-07T06:38:44.7450930Z         >>> # The types and a possible ordering of mappings do not have to match. They only
2025-09-07T06:38:44.7451280Z         >>> # have to have the same set of keys and their elements have to match.
2025-09-07T06:38:44.7451590Z         >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)])
2025-09-07T06:38:44.7451870Z         >>> actual = {"baz": baz, "bar": bar, "foo": foo}
2025-09-07T06:38:44.7452100Z         >>> torch.testing.assert_close(actual, expected)
2025-09-07T06:38:44.7452270Z 
2025-09-07T06:38:44.7452350Z         >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-09-07T06:38:44.7452550Z         >>> actual = expected.clone()
2025-09-07T06:38:44.7452780Z         >>> # By default, directly related instances can be compared
2025-09-07T06:38:44.7453090Z         >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected)
2025-09-07T06:38:44.7453410Z         >>> # This check can be made more strict with allow_subclasses=False
2025-09-07T06:38:44.7453660Z         >>> torch.testing.assert_close(
2025-09-07T06:38:44.7453910Z         ...     torch.nn.Parameter(actual), expected, allow_subclasses=False
2025-09-07T06:38:44.7454150Z         ... )
2025-09-07T06:38:44.7454290Z         Traceback (most recent call last):
2025-09-07T06:38:44.7454460Z         ...
2025-09-07T06:38:44.7454650Z         TypeError: No comparison pair was able to handle inputs of type
2025-09-07T06:38:44.7454980Z         <class 'torch.nn.parameter.Parameter'> and <class 'torch.Tensor'>.
2025-09-07T06:38:44.7455320Z         >>> # If the inputs are not directly related, they are never considered close
2025-09-07T06:38:44.7455630Z         >>> torch.testing.assert_close(actual.numpy(), expected)
2025-09-07T06:38:44.7455870Z         Traceback (most recent call last):
2025-09-07T06:38:44.7456050Z         ...
2025-09-07T06:38:44.7456340Z         TypeError: No comparison pair was able to handle inputs of type <class 'numpy.ndarray'>
2025-09-07T06:38:44.7456640Z         and <class 'torch.Tensor'>.
2025-09-07T06:38:44.7456930Z         >>> # Exceptions to these rules are Python scalars. They can be checked regardless of
2025-09-07T06:38:44.7457230Z         >>> # their type if check_dtype=False.
2025-09-07T06:38:44.7457490Z         >>> torch.testing.assert_close(1.0, 1, check_dtype=False)
2025-09-07T06:38:44.7457660Z 
2025-09-07T06:38:44.7457720Z         >>> # NaN != NaN by default.
2025-09-07T06:38:44.7457920Z         >>> expected = torch.tensor(float("Nan"))
2025-09-07T06:38:44.7458120Z         >>> actual = expected.clone()
2025-09-07T06:38:44.7458330Z         >>> torch.testing.assert_close(actual, expected)
2025-09-07T06:38:44.7458550Z         Traceback (most recent call last):
2025-09-07T06:38:44.7458720Z         ...
2025-09-07T06:38:44.7458860Z         AssertionError: Scalars are not close!
2025-09-07T06:38:44.7459060Z         <BLANKLINE>
2025-09-07T06:38:44.7459200Z         Expected nan but got nan.
2025-09-07T06:38:44.7459400Z         Absolute difference: nan (up to 1e-05 allowed)
2025-09-07T06:38:44.7459640Z         Relative difference: nan (up to 1.3e-06 allowed)
2025-09-07T06:38:44.7459910Z         >>> torch.testing.assert_close(actual, expected, equal_nan=True)
2025-09-07T06:38:44.7460110Z 
2025-09-07T06:38:44.7460180Z         >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-09-07T06:38:44.7460400Z         >>> actual = torch.tensor([1.0, 4.0, 5.0])
2025-09-07T06:38:44.7460630Z         >>> # The default error message can be overwritten.
2025-09-07T06:38:44.7460850Z         >>> torch.testing.assert_close(
2025-09-07T06:38:44.7461090Z         ...     actual, expected, msg="Argh, the tensors are not close!"
2025-09-07T06:38:44.7461310Z         ... )
2025-09-07T06:38:44.7461450Z         Traceback (most recent call last):
2025-09-07T06:38:44.7461680Z         ...
2025-09-07T06:38:44.7461840Z         AssertionError: Argh, the tensors are not close!
2025-09-07T06:38:44.7462130Z         >>> # If msg is a callable, it can be used to augment the generated message with
2025-09-07T06:38:44.7462390Z         >>> # extra information
2025-09-07T06:38:44.7462560Z         >>> torch.testing.assert_close(
2025-09-07T06:38:44.7462820Z         ...     actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter"
2025-09-07T06:38:44.7463060Z         ... )
2025-09-07T06:38:44.7463200Z         Traceback (most recent call last):
2025-09-07T06:38:44.7463370Z         ...
2025-09-07T06:38:44.7463490Z         AssertionError: Header
2025-09-07T06:38:44.7463650Z         <BLANKLINE>
2025-09-07T06:38:44.7463830Z         Tensor-likes are not close!
2025-09-07T06:38:44.7464000Z         <BLANKLINE>
2025-09-07T06:38:44.7464150Z         Mismatched elements: 2 / 3 (66.7%)
2025-09-07T06:38:44.7464410Z         Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed)
2025-09-07T06:38:44.7464750Z         Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed)
2025-09-07T06:38:44.7465000Z         <BLANKLINE>
2025-09-07T06:38:44.7465130Z         Footer
2025-09-07T06:38:44.7465240Z     
2025-09-07T06:38:44.7465460Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.3119240Z 
2025-09-07T06:38:45.3119870Z msg = Cannot scrape callname=triton_op in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/triton.py line=96.
2025-09-07T06:38:45.3121050Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.3121460Z Create a custom operator whose implementation is backed by 1+ triton kernels.
2025-09-07T06:38:45.3121700Z 
2025-09-07T06:38:45.3121910Z     This is a more structured way of using triton kernels with PyTorch.
2025-09-07T06:38:45.3122290Z     Prefer using triton kernels with no ``torch.library`` custom operator wrappers
2025-09-07T06:38:45.3122680Z     (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because
2025-09-07T06:38:45.3123160Z     that is simpler;
2025-09-07T06:38:45.3123470Z     only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you
2025-09-07T06:38:45.3123840Z     want to create an operator that behaves like PyTorch built-in operators.
2025-09-07T06:38:45.3124190Z     For example, you may use a ``torch.library`` wrapper API to define the
2025-09-07T06:38:45.3124620Z     behavior of the triton kernel when passed a tensor subclass or under
2025-09-07T06:38:45.3124900Z     a TorchDispatchMode.
2025-09-07T06:38:45.3125010Z 
2025-09-07T06:38:45.3125170Z     Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op`
2025-09-07T06:38:45.3125450Z     when the implementation
2025-09-07T06:38:45.3125690Z     consists of 1+ triton kernels. :func:`torch.library.custom_op` treats
2025-09-07T06:38:45.3126000Z     custom operators as opaque (:func:`torch.compile` and
2025-09-07T06:38:45.3126310Z     :func:`torch.export.export` will never trace into them), but ``triton_op``
2025-09-07T06:38:45.3126660Z     makes the implementation visible to these subsystems, allowing them
2025-09-07T06:38:45.3126930Z     to optimize the triton kernel(s).
2025-09-07T06:38:45.3127050Z 
2025-09-07T06:38:45.3127180Z     Note that ``fn`` must only consist of calls to PyTorch-understood
2025-09-07T06:38:45.3127500Z     operators and triton kernels. Any triton kernels called inside ``fn``
2025-09-07T06:38:45.3127820Z     must be wrapped in a call to :func:`torch.library.wrap_triton`.
2025-09-07T06:38:45.3128000Z 
2025-09-07T06:38:45.3128050Z     Args:
2025-09-07T06:38:45.3128270Z         name (str): A name for the custom op that looks like "{namespace}::{name}",
2025-09-07T06:38:45.3128610Z             e.g. "mylib::my_linear". The name is used as the op's stable identifier
2025-09-07T06:38:45.3128920Z             in PyTorch subsystems (e.g. torch.export, FX graphs).
2025-09-07T06:38:45.3129370Z             To avoid name collisions, please use your project name as the namespace;
2025-09-07T06:38:45.3129720Z             e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace.
2025-09-07T06:38:45.3130090Z         mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates.
2025-09-07T06:38:45.3130470Z             This MUST be accurate, otherwise, the behavior is undefined. If "unknown",
2025-09-07T06:38:45.3130840Z             it pessimistically assumes that all inputs to the operator are being mutated.
2025-09-07T06:38:45.3131180Z         schema (None | str): A schema string for the operator. If None
2025-09-07T06:38:45.3131490Z             (recommended) we'll infer a schema for the operator from its type
2025-09-07T06:38:45.3131880Z             annotations. We recommend letting us infer a schema unless you
2025-09-07T06:38:45.3132140Z             have a specific reason not to.
2025-09-07T06:38:45.3132360Z             Example: "(Tensor x, int y) -> (Tensor, Tensor)".
2025-09-07T06:38:45.3132520Z 
2025-09-07T06:38:45.3132570Z     Example::
2025-09-07T06:38:45.3132650Z 
2025-09-07T06:38:45.3132730Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-09-07T06:38:45.3132940Z         >>> import torch
2025-09-07T06:38:45.3133130Z         >>> from torch.library import triton_op, wrap_triton
2025-09-07T06:38:45.3133340Z         >>>
2025-09-07T06:38:45.3133460Z         >>> import triton
2025-09-07T06:38:45.3133630Z         >>> from triton import language as tl
2025-09-07T06:38:45.3133810Z         >>>
2025-09-07T06:38:45.3133930Z         >>> @triton.jit
2025-09-07T06:38:45.3134070Z         >>> def add_kernel(
2025-09-07T06:38:45.3134220Z         >>>     in_ptr0,
2025-09-07T06:38:45.3134360Z         >>>     in_ptr1,
2025-09-07T06:38:45.3134500Z         >>>     out_ptr,
2025-09-07T06:38:45.3134650Z         >>>     n_elements,
2025-09-07T06:38:45.3134810Z         >>>     BLOCK_SIZE: "tl.constexpr",
2025-09-07T06:38:45.3134990Z         >>> ):
2025-09-07T06:38:45.3135130Z         >>>     pid = tl.program_id(axis=0)
2025-09-07T06:38:45.3135390Z         >>>     block_start = pid * BLOCK_SIZE
2025-09-07T06:38:45.3135620Z         >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-09-07T06:38:45.3135840Z         >>>     mask = offsets < n_elements
2025-09-07T06:38:45.3136050Z         >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-09-07T06:38:45.3136280Z         >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-09-07T06:38:45.3136520Z         >>>     output = x + y
2025-09-07T06:38:45.3136720Z         >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-09-07T06:38:45.3136920Z         >>>
2025-09-07T06:38:45.3137060Z         >>> @triton_op("mylib::add", mutates_args={})
2025-09-07T06:38:45.3137330Z         >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
2025-09-07T06:38:45.3137580Z         >>>     output = torch.empty_like(x)
2025-09-07T06:38:45.3137770Z         >>>     n_elements = output.numel()
2025-09-07T06:38:45.3137940Z         >>>
2025-09-07T06:38:45.3138060Z         >>>     def grid(meta):
2025-09-07T06:38:45.3138280Z         >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-09-07T06:38:45.3138500Z         >>>
2025-09-07T06:38:45.3138680Z         >>>     # NB: we need to wrap the triton kernel in a call to wrap_triton
2025-09-07T06:38:45.3138980Z         >>>     wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16)
2025-09-07T06:38:45.3139210Z         >>>     return output
2025-09-07T06:38:45.3139370Z         >>>
2025-09-07T06:38:45.3139520Z         >>> @torch.compile
2025-09-07T06:38:45.3139670Z         >>> def f(x, y):
2025-09-07T06:38:45.3139820Z         >>>     return add(x, y)
2025-09-07T06:38:45.3139980Z         >>>
2025-09-07T06:38:45.3140120Z         >>> x = torch.randn(3, device="cuda")
2025-09-07T06:38:45.3140320Z         >>> y = torch.randn(3, device="cuda")
2025-09-07T06:38:45.3140490Z         >>>
2025-09-07T06:38:45.3140600Z         >>> z = f(x, y)
2025-09-07T06:38:45.3140800Z         >>> assert torch.allclose(z, x + y)
2025-09-07T06:38:45.3140930Z 
2025-09-07T06:38:45.3140980Z     
2025-09-07T06:38:45.3141200Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.3141420Z 
2025-09-07T06:38:45.3141820Z msg = Cannot scrape callname=wrap_triton in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/triton.py line=296.
2025-09-07T06:38:45.3142410Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.3142750Z Allows capture of a triton kernel into a graph via make_fx or
2025-09-07T06:38:45.3142990Z     non-strict ``torch.export``.
2025-09-07T06:38:45.3143120Z 
2025-09-07T06:38:45.3143260Z     These technologies perform Dispatcher-based tracing (via
2025-09-07T06:38:45.3143560Z     ``__torch_dispatch__``) and cannot see calls to raw triton kernels.
2025-09-07T06:38:45.3143870Z     The ``wrap_triton`` API wraps a triton kernel into a callable that
2025-09-07T06:38:45.3144120Z     can actually be traced into a graph.
2025-09-07T06:38:45.3144260Z 
2025-09-07T06:38:45.3144390Z     Please use this API together with :func:`torch.library.triton_op`.
2025-09-07T06:38:45.3144580Z 
2025-09-07T06:38:45.3144630Z     Examples:
2025-09-07T06:38:45.3144700Z 
2025-09-07T06:38:45.3144760Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:45.3144920Z         >>> import torch
2025-09-07T06:38:45.3145070Z         >>> import triton
2025-09-07T06:38:45.3145240Z         >>> from triton import language as tl
2025-09-07T06:38:45.3145480Z         >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-09-07T06:38:45.3145740Z         >>> from torch.library import wrap_triton
2025-09-07T06:38:45.3145920Z         >>>
2025-09-07T06:38:45.3146040Z         >>> @triton.jit
2025-09-07T06:38:45.3146190Z         >>> def add_kernel(
2025-09-07T06:38:45.3146340Z         >>>     in_ptr0,
2025-09-07T06:38:45.3146480Z         >>>     in_ptr1,
2025-09-07T06:38:45.3146630Z         >>>     out_ptr,
2025-09-07T06:38:45.3146770Z         >>>     n_elements,
2025-09-07T06:38:45.3146960Z         >>>     BLOCK_SIZE: "tl.constexpr",
2025-09-07T06:38:45.3147130Z         >>> ):
2025-09-07T06:38:45.3147270Z         >>>     pid = tl.program_id(axis=0)
2025-09-07T06:38:45.3147470Z         >>>     block_start = pid * BLOCK_SIZE
2025-09-07T06:38:45.3147690Z         >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-09-07T06:38:45.3147940Z         >>>     mask = offsets < n_elements
2025-09-07T06:38:45.3153640Z         >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-09-07T06:38:45.3153890Z         >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-09-07T06:38:45.3154090Z         >>>     output = x + y
2025-09-07T06:38:45.3154290Z         >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-09-07T06:38:45.3154490Z         >>>
2025-09-07T06:38:45.3154610Z         >>> def add(x, y):
2025-09-07T06:38:45.3154770Z         >>>     output = torch.empty_like(x)
2025-09-07T06:38:45.3154970Z         >>>     n_elements = output.numel()
2025-09-07T06:38:45.3155150Z         >>>
2025-09-07T06:38:45.3155270Z         >>>     def grid_fn(meta):
2025-09-07T06:38:45.3155490Z         >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-09-07T06:38:45.3155710Z         >>>
2025-09-07T06:38:45.3155900Z         >>>     wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16)
2025-09-07T06:38:45.3156150Z         >>>     return output
2025-09-07T06:38:45.3156300Z         >>>
2025-09-07T06:38:45.3156430Z         >>> x = torch.randn(3, device="cuda")
2025-09-07T06:38:45.3156630Z         >>> y = torch.randn(3, device="cuda")
2025-09-07T06:38:45.3156830Z         >>> gm = make_fx(add)(x, y)
2025-09-07T06:38:45.3157000Z         >>> print(gm.code)
2025-09-07T06:38:45.3157160Z         >>> # def forward(self, x_1, y_1):
2025-09-07T06:38:45.3157440Z         >>> #     empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False)
2025-09-07T06:38:45.3157900Z         >>> #     triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation(
2025-09-07T06:38:45.3158200Z         >>> #         kernel_idx = 0, constant_args_idx = 0,
2025-09-07T06:38:45.3158420Z         >>> #         grid = [(1, 1, 1)], kwargs = {
2025-09-07T06:38:45.3158650Z         >>> #             'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like,
2025-09-07T06:38:45.3158890Z         >>> #             'n_elements': 3, 'BLOCK_SIZE': 16
2025-09-07T06:38:45.3159080Z         >>> #         })
2025-09-07T06:38:45.3159240Z         >>> #     return empty_like
2025-09-07T06:38:45.3159360Z 
2025-09-07T06:38:45.3159400Z     
2025-09-07T06:38:45.3159620Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.3159830Z 
2025-09-07T06:38:45.3160370Z msg = Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/fake_profile.py line=94.
2025-09-07T06:38:45.3161020Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.3161240Z 
2025-09-07T06:38:45.3161380Z Registers a fake kernel based on the given operator profiles. This fake
2025-09-07T06:38:45.3161730Z kernel registration will override any existing fake kernel registrations.
2025-09-07T06:38:45.3161940Z 
2025-09-07T06:38:45.3162080Z The input is a dictionary mapping operator names to a set of operator
2025-09-07T06:38:45.3162410Z profiles, which we will use to generate fake kernels. The operator profiles
2025-09-07T06:38:45.3162740Z are a record of the input and output tensor metadata. Based on this
2025-09-07T06:38:45.3163070Z information we will match a given input to the recorded profile, and return
2025-09-07T06:38:45.3163420Z an output with the same metadata as in the recorded profile. If a profile
2025-09-07T06:38:45.3163710Z doesn't exist then an exception will be thrown.
2025-09-07T06:38:45.3163860Z 
2025-09-07T06:38:45.3164000Z The fake kernel generation is considered unsafe because it relies on the
2025-09-07T06:38:45.3164340Z rigid, pre-defined operator profiles that do not account for potential
2025-09-07T06:38:45.3164740Z variations in output behavior. Specifically, the generated kernels assume a
2025-09-07T06:38:45.3165110Z fixed relationship between input and output ranks. However, in reality, it's
2025-09-07T06:38:45.3165470Z possible that data-dependent operations may produce outputs of different
2025-09-07T06:38:45.3165830Z ranks even when given inputs of the same rank. The generated fake kernels
2025-09-07T06:38:45.3166160Z are inflexible and unable to accommodate these nuances, making them
2025-09-07T06:38:45.3166410Z potentially unsafe.
2025-09-07T06:38:45.3166500Z 
2025-09-07T06:38:45.3166540Z Args:
2025-09-07T06:38:45.3166740Z     op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-09-07T06:38:45.3167060Z         name to a set of operator profiles from which we will generate fake
2025-09-07T06:38:45.3167290Z         kernels.
2025-09-07T06:38:45.3167370Z 
2025-09-07T06:38:45.3167420Z Examples:
2025-09-07T06:38:45.3167490Z 
2025-09-07T06:38:45.3167600Z     >>> # Example: Registering an op-profile from draft-export
2025-09-07T06:38:45.3167810Z     >>> import torch
2025-09-07T06:38:45.3168000Z     >>> from torch.export._draft_export import draft_export
2025-09-07T06:38:45.3168210Z     >>>
2025-09-07T06:38:45.3168380Z     >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-09-07T06:38:45.3168630Z     >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-09-07T06:38:45.3168820Z     >>>     return x + y
2025-09-07T06:38:45.3168950Z     >>>
2025-09-07T06:38:45.3169080Z     >>> class M(torch.nn.Module):
2025-09-07T06:38:45.3169260Z     >>>     def forward(self, a, b):
2025-09-07T06:38:45.3169470Z     >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-09-07T06:38:45.3169680Z     >>>         return res
2025-09-07T06:38:45.3169820Z     >>>
2025-09-07T06:38:45.3169990Z     >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-09-07T06:38:45.3170250Z     >>>
2025-09-07T06:38:45.3170490Z     >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-09-07T06:38:45.3170810Z     >>>     decomp = ep.run_decompositions()
2025-09-07T06:38:45.3170950Z 
2025-09-07T06:38:45.3170960Z 
2025-09-07T06:38:45.3171110Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.3827240Z 
2025-09-07T06:38:45.3827840Z msg = Cannot scrape callname=CustomOpDef.register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py line=397.
2025-09-07T06:38:45.3828550Z Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:45.3829020Z Register a FakeTensor implementation for this custom op.
2025-09-07T06:38:45.3829200Z 
2025-09-07T06:38:45.3829360Z         This is necessary to get the operator to work efficiently with torch.compile.
2025-09-07T06:38:45.3829580Z 
2025-09-07T06:38:45.3829720Z         The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-09-07T06:38:45.3830070Z         specifies the behavior of this operator on Tensors that carry no data.
2025-09-07T06:38:45.3830370Z         Given some input Tensors with certain properties
2025-09-07T06:38:45.3830680Z         (sizes/strides/storage_offset/device), it specifies what the properties of
2025-09-07T06:38:45.3830950Z         the output Tensors are.
2025-09-07T06:38:45.3831070Z 
2025-09-07T06:38:45.3831210Z         Please see :func:`torch.library.register_fake` for more details.
2025-09-07T06:38:45.3831400Z 
2025-09-07T06:38:45.3831450Z         Args:
2025-09-07T06:38:45.3831630Z             fn (Callable): The function to register as the FakeTensor
2025-09-07T06:38:45.3831860Z                 implementation.
2025-09-07T06:38:45.3831980Z 
2025-09-07T06:38:45.3832030Z         Examples:
2025-09-07T06:38:45.3832160Z             >>> import torch
2025-09-07T06:38:45.3832330Z             >>> import numpy as np
2025-09-07T06:38:45.3832510Z             >>> from torch import Tensor
2025-09-07T06:38:45.3832720Z             >>>
2025-09-07T06:38:45.3832910Z             >>> # Example 1: an operator without data-dependent output shape
2025-09-07T06:38:45.3833230Z             >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-09-07T06:38:45.3833550Z             >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-09-07T06:38:45.3833850Z             >>>     return (x @ weight.t()) + bias
2025-09-07T06:38:45.3834040Z             >>>
2025-09-07T06:38:45.3834180Z             >>> @linear.register_fake
2025-09-07T06:38:45.3834360Z             >>> def _(x, weight, bias):
2025-09-07T06:38:45.3834540Z             >>>     assert x.dim() == 2
2025-09-07T06:38:45.3834730Z             >>>     assert weight.dim() == 2
2025-09-07T06:38:45.3834920Z             >>>     assert bias.dim() == 1
2025-09-07T06:38:45.3835130Z             >>>     assert x.shape[1] == weight.shape[1]
2025-09-07T06:38:45.3835360Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-09-07T06:38:45.3835590Z             >>>     assert x.device == weight.device
2025-09-07T06:38:45.3835830Z             >>>     return x.new_empty(x.size(0), weight.size(0))
2025-09-07T06:38:45.3836030Z             >>>
2025-09-07T06:38:45.3836160Z             >>> x = torch.randn(2, 2)
2025-09-07T06:38:45.3836350Z             >>> weight = torch.randn(2, 2)
2025-09-07T06:38:45.3836530Z             >>> bias = torch.randn(2)
2025-09-07T06:38:45.3836740Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-09-07T06:38:45.3837010Z             >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-09-07T06:38:45.3837270Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-09-07T06:38:45.3837580Z             >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-09-07T06:38:45.3837840Z             >>>
2025-09-07T06:38:45.3838100Z             >>> # Example 2: an operator with data-dependent output shape
2025-09-07T06:38:45.3838420Z             >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-09-07T06:38:45.3838670Z             >>> def nonzero(x: Tensor) -> Tensor:
2025-09-07T06:38:45.3838870Z             >>>     x_np = x.cpu().numpy()
2025-09-07T06:38:45.3839080Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-09-07T06:38:45.3839320Z             >>>     return torch.tensor(res, device=x.device)
2025-09-07T06:38:45.3839520Z             >>>
2025-09-07T06:38:45.3839660Z             >>> @nonzero.register_fake
2025-09-07T06:38:45.3839830Z             >>> def _(x):
2025-09-07T06:38:45.3840030Z             >>> # Number of nonzero-elements is data-dependent.
2025-09-07T06:38:45.3840300Z             >>> # Since we cannot peek at the data in an abstract impl,
2025-09-07T06:38:45.3840600Z             >>> # we use the ctx object to construct a new symint that
2025-09-07T06:38:45.3840840Z             >>> # represents the data-dependent size.
2025-09-07T06:38:45.3841060Z             >>>     ctx = torch.library.get_ctx()
2025-09-07T06:38:45.3841270Z             >>>     nnz = ctx.new_dynamic_size()
2025-09-07T06:38:45.3841470Z             >>>     shape = [nnz, x.dim()]
2025-09-07T06:38:45.3841690Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-09-07T06:38:45.3841910Z             >>>     return result
2025-09-07T06:38:45.3842060Z             >>>
2025-09-07T06:38:45.3842220Z             >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-09-07T06:38:45.3842440Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-09-07T06:38:45.3842690Z             >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-09-07T06:38:45.3842930Z             >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-09-07T06:38:45.3843160Z             >>> assert torch.allclose(out, x.nonzero())
2025-09-07T06:38:45.3843300Z 
2025-09-07T06:38:45.3843350Z         
2025-09-07T06:38:45.3843720Z Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-09-07T06:38:45.3844150Z 
2025-09-07T06:38:45.3844200Z _._ = None
2025-09-07T06:38:45.3844310Z ^
2025-09-07T06:38:45.3844770Z msg = Cannot scrape callname=Conv1d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=354.
2025-09-07T06:38:45.3845380Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.3845750Z Applies a 1D convolution over a quantized input signal composed of
2025-09-07T06:38:45.3846020Z     several quantized input planes.
2025-09-07T06:38:45.3846150Z 
2025-09-07T06:38:45.3846280Z     For details on input arguments, parameters, and implementation see
2025-09-07T06:38:45.3846540Z     :class:`~torch.nn.Conv1d`.
2025-09-07T06:38:45.3846650Z 
2025-09-07T06:38:45.3846700Z     .. note::
2025-09-07T06:38:45.3846900Z         Only `zeros` is supported for the :attr:`padding_mode` argument.
2025-09-07T06:38:45.3847090Z 
2025-09-07T06:38:45.3847130Z     .. note::
2025-09-07T06:38:45.3847320Z         Only `torch.quint8` is supported for the input data type.
2025-09-07T06:38:45.3847540Z 
2025-09-07T06:38:45.3847540Z 
2025-09-07T06:38:45.3847590Z     Attributes:
2025-09-07T06:38:45.3847790Z         weight (Tensor):     packed tensor derived from the learnable weight
2025-09-07T06:38:45.3848050Z                              parameter.
2025-09-07T06:38:45.3848260Z         scale (Tensor):      scalar for the output scale
2025-09-07T06:38:45.3848510Z         zero_point (Tensor): scalar for the output zero point
2025-09-07T06:38:45.3848670Z 
2025-09-07T06:38:45.3848770Z     See :class:`~torch.nn.Conv1d` for other attributes.
2025-09-07T06:38:45.3848930Z 
2025-09-07T06:38:45.3848970Z     Examples::
2025-09-07T06:38:45.3849060Z 
2025-09-07T06:38:45.3849150Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE)
2025-09-07T06:38:45.3849390Z         >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2)
2025-09-07T06:38:45.3849650Z         >>> input = torch.randn(20, 16, 100)
2025-09-07T06:38:45.3849840Z         >>> # quantize input to quint8
2025-09-07T06:38:45.3850020Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:45.3850260Z         >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0,
2025-09-07T06:38:45.3850540Z         ...                                     dtype=torch.quint8)
2025-09-07T06:38:45.3850750Z         >>> output = m(q_input)
2025-09-07T06:38:45.3850860Z 
2025-09-07T06:38:45.3850900Z     
2025-09-07T06:38:45.3851110Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.3851330Z 
2025-09-07T06:38:45.3851710Z msg = Cannot scrape callname=LSTM in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12.
2025-09-07T06:38:45.3852360Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.3852660Z A quantized long short-term memory (LSTM).
2025-09-07T06:38:45.3852800Z 
2025-09-07T06:38:45.3852970Z     For the description and the argument types, please, refer to :class:`~torch.nn.LSTM`
2025-09-07T06:38:45.3853210Z 
2025-09-07T06:38:45.3853260Z     Attributes:
2025-09-07T06:38:45.3853410Z         layers : instances of the `_LSTMLayer`
2025-09-07T06:38:45.3853540Z 
2025-09-07T06:38:45.3853580Z     .. note::
2025-09-07T06:38:45.3853790Z         To access the weights and biases, you need to access them per layer.
2025-09-07T06:38:45.3854100Z         See examples in :class:`~torch.ao.nn.quantizable.LSTM`
2025-09-07T06:38:45.3854270Z 
2025-09-07T06:38:45.3854320Z     Examples::
2025-09-07T06:38:45.3854460Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:45.3854620Z         >>> custom_module_config = {
2025-09-07T06:38:45.3854820Z         ...     'float_to_observed_custom_module_class': {
2025-09-07T06:38:45.3855050Z         ...         nn.LSTM: nn.quantizable.LSTM,
2025-09-07T06:38:45.3855240Z         ...     },
2025-09-07T06:38:45.3855410Z         ...     'observed_to_quantized_custom_module_class': {
2025-09-07T06:38:45.3855680Z         ...         nn.quantizable.LSTM: nn.quantized.LSTM,
2025-09-07T06:38:45.3855880Z         ...     }
2025-09-07T06:38:45.3856000Z         ... }
2025-09-07T06:38:45.3856210Z         >>> tq.prepare(model, prepare_custom_module_class=custom_module_config)
2025-09-07T06:38:45.3856540Z         >>> tq.convert(model, convert_custom_module_class=custom_module_config)
2025-09-07T06:38:45.3856770Z     
2025-09-07T06:38:45.3857000Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.3857230Z 
2025-09-07T06:38:45.3857690Z msg = Cannot scrape callname=DTypeConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181.
2025-09-07T06:38:45.3858360Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.3858590Z 
2025-09-07T06:38:45.3858740Z Config object that specifies the supported data types passed as arguments to
2025-09-07T06:38:45.3859100Z quantize ops in the reference model spec, for input and output activations,
2025-09-07T06:38:45.3859360Z weights, and biases.
2025-09-07T06:38:45.3859460Z 
2025-09-07T06:38:45.3859560Z For example, consider the following reference model:
2025-09-07T06:38:45.3859720Z 
2025-09-07T06:38:45.3859810Z   quant1 - [dequant1 - fp32_linear - quant2] - dequant2
2025-09-07T06:38:45.3859970Z 
2025-09-07T06:38:45.3860110Z The pattern in the square brackets refers to the reference pattern of
2025-09-07T06:38:45.3860440Z statically quantized linear. Setting the input dtype as `torch.quint8`
2025-09-07T06:38:45.3860790Z in the DTypeConfig means we pass in `torch.quint8` as the dtype argument
2025-09-07T06:38:45.3861130Z to the first quantize op (quant1). Similarly, setting the output dtype as
2025-09-07T06:38:45.3861470Z `torch.quint8` means we pass in `torch.quint8` as the dtype argument to
2025-09-07T06:38:45.3861770Z the second quantize op (quant2).
2025-09-07T06:38:45.3861900Z 
2025-09-07T06:38:45.3862030Z Note that the dtype here does not refer to the interface dtypes of the
2025-09-07T06:38:45.3862350Z op. For example, the "input dtype" here is not the dtype of the input
2025-09-07T06:38:45.3862670Z tensor passed to the quantized linear op. Though it can still be the
2025-09-07T06:38:45.3862980Z same as the interface dtype, this is not always the case, e.g. the
2025-09-07T06:38:45.3863310Z interface dtype is fp32 in dynamic quantization but the "input dtype"
2025-09-07T06:38:45.3863630Z specified in the DTypeConfig would still be quint8. The semantics of
2025-09-07T06:38:45.3863950Z dtypes here are the same as the semantics of the dtypes specified in
2025-09-07T06:38:45.3864210Z the observers.
2025-09-07T06:38:45.3864290Z 
2025-09-07T06:38:45.3864410Z These dtypes are matched against the ones specified in the user's
2025-09-07T06:38:45.3864730Z QConfig. If there is a match, and the QConfig satisfies the constraints
2025-09-07T06:38:45.3865060Z specified in the DTypeConfig (if any), then we will quantize the given
2025-09-07T06:38:45.3865390Z pattern using this DTypeConfig. Otherwise, the QConfig is ignored and
2025-09-07T06:38:45.3865650Z the pattern will not be quantized.
2025-09-07T06:38:45.3865780Z 
2025-09-07T06:38:45.3865830Z Example usage::
2025-09-07T06:38:45.3865910Z 
2025-09-07T06:38:45.3865960Z     >>> # xdoctest: +SKIP(failing)
2025-09-07T06:38:45.3866150Z     >>> dtype_config1 = DTypeConfig(
2025-09-07T06:38:45.3866340Z     ...     input_dtype=torch.quint8,
2025-09-07T06:38:45.3866530Z     ...     output_dtype=torch.quint8,
2025-09-07T06:38:45.3866710Z     ...     weight_dtype=torch.qint8,
2025-09-07T06:38:45.3866900Z     ...     bias_dtype=torch.float)
2025-09-07T06:38:45.3867020Z 
2025-09-07T06:38:45.3867080Z     >>> dtype_config2 = DTypeConfig(
2025-09-07T06:38:45.3867290Z     ...     input_dtype=DTypeWithConstraints(
2025-09-07T06:38:45.3867490Z     ...         dtype=torch.quint8,
2025-09-07T06:38:45.3867660Z     ...         quant_min_lower_bound=0,
2025-09-07T06:38:45.3867850Z     ...         quant_max_upper_bound=255,
2025-09-07T06:38:45.3868080Z     ...     ),
2025-09-07T06:38:45.3868230Z     ...     output_dtype=DTypeWithConstraints(
2025-09-07T06:38:45.3868430Z     ...         dtype=torch.quint8,
2025-09-07T06:38:45.3868610Z     ...         quant_min_lower_bound=0,
2025-09-07T06:38:45.3868800Z     ...         quant_max_upper_bound=255,
2025-09-07T06:38:45.3868960Z     ...     ),
2025-09-07T06:38:45.3869130Z     ...     weight_dtype=DTypeWithConstraints(
2025-09-07T06:38:45.3869330Z     ...         dtype=torch.qint8,
2025-09-07T06:38:45.3869510Z     ...         quant_min_lower_bound=-128,
2025-09-07T06:38:45.3869710Z     ...         quant_max_upper_bound=127,
2025-09-07T06:38:45.3869890Z     ...     ),
2025-09-07T06:38:45.3870020Z     ...     bias_dtype=torch.float)
2025-09-07T06:38:45.3870140Z 
2025-09-07T06:38:45.3870200Z     >>> dtype_config1.input_dtype
2025-09-07T06:38:45.3870360Z     torch.quint8
2025-09-07T06:38:45.3870450Z 
2025-09-07T06:38:45.3870510Z     >>> dtype_config2.input_dtype
2025-09-07T06:38:45.3870670Z     torch.quint8
2025-09-07T06:38:45.3870750Z 
2025-09-07T06:38:45.3870840Z     >>> dtype_config2.input_dtype_with_constraints
2025-09-07T06:38:45.3871310Z     DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None)
2025-09-07T06:38:45.3871690Z 
2025-09-07T06:38:45.3871840Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.4056040Z 
2025-09-07T06:38:45.4056860Z msg = Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301.
2025-09-07T06:38:45.4057860Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.4058100Z 
2025-09-07T06:38:45.4063780Z Takes in optional filter values and generates two tables with desired information.
2025-09-07T06:38:45.4064040Z 
2025-09-07T06:38:45.4064180Z The generated tables are presented in both a list-of-lists format
2025-09-07T06:38:45.4064390Z 
2025-09-07T06:38:45.4064520Z The reason for the two tables are that they handle different things:
2025-09-07T06:38:45.4064830Z 1.) the first table handles all tensor level information
2025-09-07T06:38:45.4065140Z 2.) the second table handles and displays all channel based information
2025-09-07T06:38:45.4065350Z 
2025-09-07T06:38:45.4065550Z The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-09-07T06:38:45.4066010Z     statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-09-07T06:38:45.4066560Z     tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-09-07T06:38:45.4066850Z 
2025-09-07T06:38:45.4066910Z Tensor table columns:
2025-09-07T06:38:45.4067140Z     idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-09-07T06:38:45.4067440Z     ----  ---------  ---------   ---------   ---------        ---------
2025-09-07T06:38:45.4067610Z 
2025-09-07T06:38:45.4067670Z Per-Channel table columns:
2025-09-07T06:38:45.4067930Z     idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-09-07T06:38:45.4068250Z     ----  ---------  -------  ---------   ---------   ---------        ---------
2025-09-07T06:38:45.4068430Z 
2025-09-07T06:38:45.4068470Z Args:
2025-09-07T06:38:45.4068700Z     feature_filter (str, optional): Filters the features presented to only those that
2025-09-07T06:38:45.4068990Z         contain this filter substring
2025-09-07T06:38:45.4069230Z         Default = "", results in all the features being printed
2025-09-07T06:38:45.4069550Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-09-07T06:38:45.4069940Z         Default = "", results in all the modules in the reports to be visible in the table
2025-09-07T06:38:45.4070190Z 
2025-09-07T06:38:45.4070260Z Returns a dictionary with two keys:
2025-09-07T06:38:45.4070490Z     (Dict[str, Tuple[List, List]]) A dict containing two keys:
2025-09-07T06:38:45.4070740Z     "tensor_level_info", "channel_level_info"
2025-09-07T06:38:45.4070940Z         Each key maps to a tuple with:
2025-09-07T06:38:45.4071130Z             A list of the headers of each table
2025-09-07T06:38:45.4071440Z             A list of lists containing the table information row by row
2025-09-07T06:38:45.4071730Z             The 0th index row will contain the headers of the columns
2025-09-07T06:38:45.4071980Z             The rest of the rows will contain data
2025-09-07T06:38:45.4072120Z 
2025-09-07T06:38:45.4072170Z Example Use:
2025-09-07T06:38:45.4072320Z     >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:45.4072560Z     >>> mod_report_visualizer.generate_filtered_tables(
2025-09-07T06:38:45.4072830Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-09-07T06:38:45.4073190Z     ... )  # generates table with per_channel_min info for all modules in block 1 of the model
2025-09-07T06:38:45.4073420Z 
2025-09-07T06:38:45.4073580Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.4073800Z 
2025-09-07T06:38:45.4074390Z msg = Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399.
2025-09-07T06:38:45.4075200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.4075430Z 
2025-09-07T06:38:45.4075590Z Takes in optional filter values and prints out formatted tables of the information.
2025-09-07T06:38:45.4075820Z 
2025-09-07T06:38:45.4076080Z The reason for the two tables printed out instead of one large one are that they handle different things:
2025-09-07T06:38:45.4076470Z 1.) the first table handles all tensor level information
2025-09-07T06:38:45.4076770Z 2.) the second table handles and displays all channel based information
2025-09-07T06:38:45.4076960Z 
2025-09-07T06:38:45.4077150Z The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-09-07T06:38:45.4077600Z     statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-09-07T06:38:45.4078070Z     tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-09-07T06:38:45.4078350Z 
2025-09-07T06:38:45.4078400Z Tensor table columns:
2025-09-07T06:38:45.4078650Z  idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-09-07T06:38:45.4078920Z ----  ---------  ---------   ---------   ---------        ---------
2025-09-07T06:38:45.4079080Z 
2025-09-07T06:38:45.4079140Z Per-Channel table columns:
2025-09-07T06:38:45.4079260Z 
2025-09-07T06:38:45.4079400Z  idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-09-07T06:38:45.4079700Z ----  ---------  -------  ---------   ---------   ---------        ---------
2025-09-07T06:38:45.4079880Z 
2025-09-07T06:38:45.4079920Z Args:
2025-09-07T06:38:45.4080150Z     feature_filter (str, optional): Filters the features presented to only those that
2025-09-07T06:38:45.4080440Z         contain this filter substring
2025-09-07T06:38:45.4080660Z         Default = "", results in all the features being printed
2025-09-07T06:38:45.4081000Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-09-07T06:38:45.4081370Z         Default = "", results in all the modules in the reports to be visible in the table
2025-09-07T06:38:45.4081580Z 
2025-09-07T06:38:45.4081630Z Example Use:
2025-09-07T06:38:45.4081790Z     >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:45.4082030Z     >>> mod_report_visualizer.generate_table_visualization(
2025-09-07T06:38:45.4082310Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-09-07T06:38:45.4082580Z     ... )
2025-09-07T06:38:45.4082770Z     >>> # prints out neatly formatted table with per_channel_min info
2025-09-07T06:38:45.4083030Z     >>> # for all modules in block 1 of the model
2025-09-07T06:38:45.4083180Z 
2025-09-07T06:38:45.4083330Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.4083570Z 
2025-09-07T06:38:45.4084150Z msg = Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564.
2025-09-07T06:38:45.4084960Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.4085180Z 
2025-09-07T06:38:45.4085330Z Takes in a feature and optional module_filter and plots of the desired data.
2025-09-07T06:38:45.4085540Z 
2025-09-07T06:38:45.4085700Z For per channel features, it averages the value across the channels and plots a point
2025-09-07T06:38:45.4086090Z per module. The reason for this is that for models with hundreds of channels, it can
2025-09-07T06:38:45.4086470Z be hard to differentiate one channel line from another, and so the point of generating
2025-09-07T06:38:45.4086860Z a single average point per module is to give a sense of general trends that encourage
2025-09-07T06:38:45.4087140Z further deep dives.
2025-09-07T06:38:45.4087230Z 
2025-09-07T06:38:45.4087280Z Note:
2025-09-07T06:38:45.4087490Z     Only features in the report that have tensor value data are plottable by this class
2025-09-07T06:38:45.4087820Z     When the tensor information is plotted, it will plot:
2025-09-07T06:38:45.4088060Z         idx as the x val, feature value as the y_val
2025-09-07T06:38:45.4088300Z     When the channel information is plotted, it will plot:
2025-09-07T06:38:45.4088670Z         the first idx of each module as the x val, feature value as the y_val [for each channel]
2025-09-07T06:38:45.4089050Z         The reason for this is that we want to be able to compare values across the
2025-09-07T06:38:45.4089400Z         channels for same layer, and it will be hard if values are staggered by idx
2025-09-07T06:38:45.4089710Z         This means each module is represented by only 1 x value
2025-09-07T06:38:45.4089920Z Args:
2025-09-07T06:38:45.4090120Z     feature_filter (str): Filters the features presented to only those that
2025-09-07T06:38:45.4090380Z         contain this filter substring
2025-09-07T06:38:45.4090670Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-09-07T06:38:45.4091070Z         Default = "", results in all the modules in the reports to be visible in the table
2025-09-07T06:38:45.4091280Z 
2025-09-07T06:38:45.4091320Z Example Use:
2025-09-07T06:38:45.4091480Z     >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:45.4091720Z     >>> mod_report_visualizer.generate_plot_visualization(
2025-09-07T06:38:45.4092000Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-09-07T06:38:45.4092220Z     ... )
2025-09-07T06:38:45.4092400Z     >>> # outputs line plot of per_channel_min information for all
2025-09-07T06:38:45.4092700Z     >>> # modules in block1 of model each channel gets it's own line,
2025-09-07T06:38:45.4092990Z     >>> # and it's plotted across the in-order modules on the x-axis
2025-09-07T06:38:45.4093160Z 
2025-09-07T06:38:45.4093310Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.4093530Z 
2025-09-07T06:38:45.4094120Z msg = Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643.
2025-09-07T06:38:45.4094930Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.4095150Z 
2025-09-07T06:38:45.4095370Z Takes in a feature and optional module_filter and plots the histogram of desired data.
2025-09-07T06:38:45.4095600Z 
2025-09-07T06:38:45.4095650Z Note:
2025-09-07T06:38:45.4095860Z     Only features in the report that have tensor value data can be viewed as a histogram
2025-09-07T06:38:45.4096250Z     If you want to plot a histogram from all the channel values of a specific feature for
2025-09-07T06:38:45.4096650Z         a specific model, make sure to specify both the model and the feature properly
2025-09-07T06:38:45.4097040Z         in the filters and you should be able to see a distribution of the channel data
2025-09-07T06:38:45.4097250Z 
2025-09-07T06:38:45.4097290Z Args:
2025-09-07T06:38:45.4097530Z     feature_filter (str, optional): Filters the features presented to only those that
2025-09-07T06:38:45.4097830Z         contain this filter substring
2025-09-07T06:38:45.4098070Z         Default = "", results in all the features being printed
2025-09-07T06:38:45.4098390Z     module_fqn_filter (str, optional): Only includes modules that contains this string
2025-09-07T06:38:45.4098760Z         Default = "", results in all the modules in the reports to be visible in the table
2025-09-07T06:38:45.4099120Z     num_bins (int, optional): The number of bins to create the histogram with
2025-09-07T06:38:45.4099440Z         Default = 10, the values will be split into 10 equal sized bins
2025-09-07T06:38:45.4099620Z 
2025-09-07T06:38:45.4099670Z Example Use:
2025-09-07T06:38:45.4099800Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:45.4100080Z     >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization(
2025-09-07T06:38:45.4100440Z     ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-09-07T06:38:45.4100680Z     ... )
2025-09-07T06:38:45.4100910Z     # outputs histogram of per_channel_min information for all modules in block1 of model
2025-09-07T06:38:45.4101350Z         information is gathered across all channels for all modules in block 1 for the
2025-09-07T06:38:45.4101710Z         per_channel_min and is displayed in a histogram of equally sized bins
2025-09-07T06:38:45.4101910Z 
2025-09-07T06:38:45.4102060Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.7733830Z 
2025-09-07T06:38:45.7734500Z msg = Cannot scrape callname=ModelReport in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24.
2025-09-07T06:38:45.7735200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.7735430Z 
2025-09-07T06:38:45.7735620Z The ModelReport class aims to provide users an easy way to diagnose issues that they run into
2025-09-07T06:38:45.7736200Z with their models. The class works with all traceable GraphModules to help diagnose issues,
2025-09-07T06:38:45.7736650Z though the requirements on the type of model more-so depends on the specific report the user
2025-09-07T06:38:45.7737100Z is trying to generate. With respect to the reports, the ModelReport class is initialized with
2025-09-07T06:38:45.7737520Z a set of Detector classes, each of which generate reports on quantization configuration
2025-09-07T06:38:45.7737820Z issues a use might have.
2025-09-07T06:38:45.7737920Z 
2025-09-07T06:38:45.7738000Z Currently supports generating reports on:
2025-09-07T06:38:45.7738280Z - Suggestions for per-channel vs. per-tensor quantization (nn.Module)
2025-09-07T06:38:45.7738700Z - Suggestions for dynamic vs static quantization for linear layers (Graph Modules)
2025-09-07T06:38:45.7739090Z - Suggestions for input-weight equalization for linear and conv layers (Graph Modules)
2025-09-07T06:38:45.7739460Z - Suggestions for outlier detection for all layers (Graph Modules)
2025-09-07T06:38:45.7739650Z 
2025-09-07T06:38:45.7739890Z The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver)
2025-09-07T06:38:45.7740410Z where needed for each detector to gather the information it needs, and then after calibration, the ModelReport
2025-09-07T06:38:45.7740990Z class compiles the report generated by each Detector class into a single report to return to the user. It also
2025-09-07T06:38:45.7741400Z has the capability to remove all the observers it inserted as well.
2025-09-07T06:38:45.7741600Z 
2025-09-07T06:38:45.7741810Z * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule
2025-09-07T06:38:45.7742050Z 
2025-09-07T06:38:45.7742280Z * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class
2025-09-07T06:38:45.7742760Z     Make sure that these are all unique types of detectors [do not have more than 1 of the same class]
2025-09-07T06:38:45.7743010Z 
2025-09-07T06:38:45.7743180Z * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors.
2025-09-07T06:38:45.7743560Z     This set is generated by calling the get_detector_name() of each detector
2025-09-07T06:38:45.7743770Z 
2025-09-07T06:38:45.7743970Z * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest
2025-09-07T06:38:45.7744460Z     The purpose of this is to keep track of what observers were inserted for each detector, so that they
2025-09-07T06:38:45.7744770Z     can be removed at the end if desired
2025-09-07T06:38:45.7744910Z 
2025-09-07T06:38:45.7745100Z * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not
2025-09-07T06:38:45.7745500Z     This is to ensure we only insert observers once with the ModelReport instance
2025-09-07T06:38:45.7745710Z 
2025-09-07T06:38:45.7745870Z * :attr:`_removed_observers` A boolean to track if we have removed observers already
2025-09-07T06:38:45.7746260Z     The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport
2025-09-07T06:38:45.7746830Z     instance. This also allows the functionality where we can generate the report multiple times
2025-09-07T06:38:45.7747180Z     as long as we haven't removed the observers yet.
2025-09-07T06:38:45.7747330Z 
2025-09-07T06:38:45.7747380Z Note:
2025-09-07T06:38:45.7747620Z     This class was initially designed to work with the Fx Graph Mode workflow in mind. However,
2025-09-07T06:38:45.7748050Z     full functionality is available as long as there is a traceable GraphModule that is being used.
2025-09-07T06:38:45.7748480Z     One method to get a traceable GraphModule without going through the Fx workflow is to use
2025-09-07T06:38:45.7748780Z     the QuantizationTracer class.
2025-09-07T06:38:45.7748910Z 
2025-09-07T06:38:45.7749010Z General Flow for Fx workflow:
2025-09-07T06:38:45.7749350Z 1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model
2025-09-07T06:38:45.7749710Z 2.) Prepare your model with prepare_fx
2025-09-07T06:38:45.7750000Z 3.) Call model_report.prepare_detailed_calibration to add relevant observers
2025-09-07T06:38:45.7750280Z 4.) Calibrate your model with data
2025-09-07T06:38:45.7750620Z 5.) Call model_report.generate_report on your model to generate report and optionally remove added observers
2025-09-07T06:38:45.7750940Z Optional
2025-09-07T06:38:45.7751170Z     6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance
2025-09-07T06:38:45.7751550Z     7.) To help in parsing report information and debugging, view report info as a:
2025-09-07T06:38:45.7751810Z         - Table
2025-09-07T06:38:45.7751940Z         - Histogram
2025-09-07T06:38:45.7752060Z         - Line plot
2025-09-07T06:38:45.7752340Z 8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions
2025-09-07T06:38:45.7752590Z 
2025-09-07T06:38:45.7752650Z Example (with QuantizationTracer):
2025-09-07T06:38:45.7752840Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:45.7753010Z     >>> # get the necessary qconfig
2025-09-07T06:38:45.7753200Z     >>> config = PrepareCustomConfig()
2025-09-07T06:38:45.7753450Z     >>> skipped_module_names, skipped_module_classes = (
2025-09-07T06:38:45.7753700Z     ...     get_skipped_module_name_and_classes(config, False)
2025-09-07T06:38:45.7753910Z     ... )
2025-09-07T06:38:45.7753970Z 
2025-09-07T06:38:45.7754050Z     >>> # initialize our model and get GraphModule
2025-09-07T06:38:45.7754250Z     >>> model = SomeModel()
2025-09-07T06:38:45.7754650Z     >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes)
2025-09-07T06:38:45.7754980Z     >>> graph_module = GraphModule(model, tracer.trace(model))
2025-09-07T06:38:45.7755160Z 
2025-09-07T06:38:45.7755250Z     >>> # get our set of detectors and ModelReport instance
2025-09-07T06:38:45.7755470Z     >>> detector_set = set(
2025-09-07T06:38:45.7755620Z     ...     [
2025-09-07T06:38:45.7755780Z     ...         DynamicStaticDetector(tolerance=0.5),
2025-09-07T06:38:45.7756040Z     ...         InputWeightEqualizationDetector(ratio_threshold=0.7),
2025-09-07T06:38:45.7756270Z     ...     ]
2025-09-07T06:38:45.7756390Z     ... )
2025-09-07T06:38:45.7756590Z     >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set)
2025-09-07T06:38:45.7756790Z 
2025-09-07T06:38:45.7756880Z     >>> # now we insert the observers and calibrate the model
2025-09-07T06:38:45.7757190Z     >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration()
2025-09-07T06:38:45.7757500Z     >>> for i in range(num_callibration_batches):
2025-09-07T06:38:45.7757720Z     >>>     example_input = get_callibration_input()
2025-09-07T06:38:45.7757950Z     >>>     tracer_model_with_observers(example_input)
2025-09-07T06:38:45.7758100Z 
2025-09-07T06:38:45.7758260Z     >>> # finally we generate the reports and optionally remove the observers we inserted
2025-09-07T06:38:45.7758580Z     >>> reports = tracer_reporter.generate_model_report(
2025-09-07T06:38:45.7758800Z     ...     remove_inserted_observers=True
2025-09-07T06:38:45.7759010Z     ... )
2025-09-07T06:38:45.7759080Z 
2025-09-07T06:38:45.7759220Z     >>> # Optional: we can generate the qconfig mapping based on the suggestions
2025-09-07T06:38:45.7759520Z     >>> qconfigs = model_report.generate_qconfig_mapping()
2025-09-07T06:38:45.7759680Z 
2025-09-07T06:38:45.7759830Z     >>> # Optional: we can generate the equalization mapping based on the suggestions
2025-09-07T06:38:45.7760150Z     >>> qconfigs = model_report.generate_equalization_mapping()
2025-09-07T06:38:45.7760330Z 
2025-09-07T06:38:45.7760500Z     >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired
2025-09-07T06:38:45.7760860Z     >>> model_report_visualizer = tracer_reporter.generate_visualizer()
2025-09-07T06:38:45.7761080Z 
2025-09-07T06:38:45.7761090Z 
2025-09-07T06:38:45.7761240Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.7761460Z 
2025-09-07T06:38:45.7761930Z msg = Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229.
2025-09-07T06:38:45.7762630Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.7762970Z Squashes the sparse masks into the appropriate tensors.
2025-09-07T06:38:45.7763140Z 
2025-09-07T06:38:45.7763290Z         If either the `params_to_keep` or `params_to_keep_per_layer` is set,
2025-09-07T06:38:45.7763630Z         the module will have a `sparse_params` dict attached to it.
2025-09-07T06:38:45.7763810Z 
2025-09-07T06:38:45.7763860Z         Args:
2025-09-07T06:38:45.7764050Z             params_to_keep: List of keys to save in the module or a dict
2025-09-07T06:38:45.7764340Z                             representing the modules and keys that will have
2025-09-07T06:38:45.7764580Z                             sparsity parameters saved
2025-09-07T06:38:45.7764850Z             params_to_keep_per_layer: Dict to specify the params that should be
2025-09-07T06:38:45.7765150Z                             saved for specific layers. The keys in the dict
2025-09-07T06:38:45.7765480Z                             should be the module fqn, while the values should
2025-09-07T06:38:45.7765740Z                             be a list of strings with the names of the variables
2025-09-07T06:38:45.7765980Z                             to save in the `sparse_params`
2025-09-07T06:38:45.7766130Z 
2025-09-07T06:38:45.7766190Z         Examples:
2025-09-07T06:38:45.7766370Z             >>> # xdoctest: +SKIP("locals are undefined")
2025-09-07T06:38:45.7766590Z             >>> # Don't save any sparse params
2025-09-07T06:38:45.7766790Z             >>> sparsifier.squash_mask()
2025-09-07T06:38:45.7767000Z             >>> hasattr(model.submodule1, "sparse_params")
2025-09-07T06:38:45.7767200Z             False
2025-09-07T06:38:45.7767280Z 
2025-09-07T06:38:45.7767350Z             >>> # Keep sparse params per layer
2025-09-07T06:38:45.7767550Z             >>> sparsifier.squash_mask(
2025-09-07T06:38:45.7767750Z             ...     params_to_keep_per_layer={
2025-09-07T06:38:45.7768000Z             ...         "submodule1.linear1": ("foo", "bar"),
2025-09-07T06:38:45.7768220Z             ...         "submodule2.linear42": ("baz",),
2025-09-07T06:38:45.7768410Z             ...     }
2025-09-07T06:38:45.7768540Z             ... )
2025-09-07T06:38:45.7768720Z             >>> print(model.submodule1.linear1.sparse_params)
2025-09-07T06:38:45.7768940Z             {'foo': 42, 'bar': 24}
2025-09-07T06:38:45.7769160Z             >>> print(model.submodule2.linear42.sparse_params)
2025-09-07T06:38:45.7769370Z             {'baz': 0.1}
2025-09-07T06:38:45.7769460Z 
2025-09-07T06:38:45.7769550Z             >>> # Keep sparse params for all layers
2025-09-07T06:38:45.7769800Z             >>> sparsifier.squash_mask(params_to_keep=("foo", "bar"))
2025-09-07T06:38:45.7770070Z             >>> print(model.submodule1.linear1.sparse_params)
2025-09-07T06:38:45.7770310Z             {'foo': 42, 'bar': 24}
2025-09-07T06:38:45.7770530Z             >>> print(model.submodule2.linear42.sparse_params)
2025-09-07T06:38:45.7770740Z             {'foo': 42, 'bar': 24}
2025-09-07T06:38:45.7770860Z 
2025-09-07T06:38:45.7770980Z             >>> # Keep some sparse params for all layers, and specific ones for
2025-09-07T06:38:45.7771230Z             >>> # some other layers
2025-09-07T06:38:45.7771420Z             >>> sparsifier.squash_mask(
2025-09-07T06:38:45.7771630Z             ...     params_to_keep=("foo", "bar"),
2025-09-07T06:38:45.7771890Z             ...     params_to_keep_per_layer={"submodule2.linear42": ("baz",)},
2025-09-07T06:38:45.7772130Z             ... )
2025-09-07T06:38:45.7772310Z             >>> print(model.submodule1.linear1.sparse_params)
2025-09-07T06:38:45.7772550Z             {'foo': 42, 'bar': 24}
2025-09-07T06:38:45.7772760Z             >>> print(model.submodule2.linear42.sparse_params)
2025-09-07T06:38:45.7772980Z             {'foo': 42, 'bar': 24, 'baz': 0.1}
2025-09-07T06:38:45.7773160Z         
2025-09-07T06:38:45.7773380Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.8681250Z 
2025-09-07T06:38:45.8681890Z msg = Cannot scrape callname=ActivationSparsifier in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-09-07T06:38:45.8682720Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.8682960Z 
2025-09-07T06:38:45.8683130Z The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-09-07T06:38:45.8683500Z network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-09-07T06:38:45.8683880Z zeroes out the activations based on the mask_fn (or sparsification function)
2025-09-07T06:38:45.8684150Z input by the user.
2025-09-07T06:38:45.8684390Z The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-09-07T06:38:45.8684700Z mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-09-07T06:38:45.8684970Z 
2025-09-07T06:38:45.8685030Z Note::
2025-09-07T06:38:45.8685310Z     The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-09-07T06:38:45.8685580Z 
2025-09-07T06:38:45.8685620Z Args:
2025-09-07T06:38:45.8685730Z     model (nn.Module):
2025-09-07T06:38:45.8686030Z         The model whose layers will be sparsified. The layers that needs to be
2025-09-07T06:38:45.8686380Z         sparsified should be added separately using the register_layer() function
2025-09-07T06:38:45.8686660Z     aggregate_fn (Optional, Callable):
2025-09-07T06:38:45.8686950Z         default aggregate_fn that is used if not specified while registering the layer.
2025-09-07T06:38:45.8687280Z         specifies how inputs should be aggregated over time.
2025-09-07T06:38:45.8687610Z         The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-09-07T06:38:45.8687900Z         Example
2025-09-07T06:38:45.8688090Z             def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-09-07T06:38:45.8688330Z             reduce_fn (Optional, Callable):
2025-09-07T06:38:45.8688610Z                 default reduce_fn that is used if not specified while registering the layer.
2025-09-07T06:38:45.8688980Z                 reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-09-07T06:38:45.8689280Z                 calling agg_fn() on all inputs.
2025-09-07T06:38:45.8689460Z                 Example
2025-09-07T06:38:45.8689790Z             def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-09-07T06:38:45.8690050Z             mask_fn (Optional, Callable):
2025-09-07T06:38:45.8690370Z                 default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-09-07T06:38:45.8690870Z                 calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-09-07T06:38:45.8691160Z                 register_layer().
2025-09-07T06:38:45.8691490Z                 Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-09-07T06:38:45.8691830Z                 arguments.
2025-09-07T06:38:45.8691990Z             features (Optional, list):
2025-09-07T06:38:45.8692200Z                 default selected features to sparsify.
2025-09-07T06:38:45.8692580Z                 If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-09-07T06:38:45.8692880Z                 For example,
2025-09-07T06:38:45.8693140Z             mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-09-07T06:38:45.8693490Z             feature_dim (Optional, int):
2025-09-07T06:38:45.8693790Z                 default dimension of input features. Again, features along this dim will be chosen
2025-09-07T06:38:45.8694080Z                 for sparsification.
2025-09-07T06:38:45.8694260Z             sparse_config (Dict):
2025-09-07T06:38:45.8694510Z                 Default configuration for the mask_fn. This config will be passed
2025-09-07T06:38:45.8694770Z                 with the mask_fn()
2025-09-07T06:38:45.8694890Z 
2025-09-07T06:38:45.8694930Z Example:
2025-09-07T06:38:45.8695050Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:45.8695210Z     >>> model = SomeModel()
2025-09-07T06:38:45.8695510Z     >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-09-07T06:38:45.8695790Z     >>> # Initialize aggregate_fn
2025-09-07T06:38:45.8695960Z     >>> def agg_fn(x, y):
2025-09-07T06:38:45.8696120Z     >>>     return x + y
2025-09-07T06:38:45.8696260Z     >>>
2025-09-07T06:38:45.8696390Z     >>> # Initialize reduce_fn
2025-09-07T06:38:45.8696560Z     >>> def reduce_fn(x):
2025-09-07T06:38:45.8696720Z     >>>     return torch.mean(x, dim=0)
2025-09-07T06:38:45.8696900Z     >>>
2025-09-07T06:38:45.8697020Z     >>> # Initialize mask_fn
2025-09-07T06:38:45.8697190Z     >>> def mask_fn(data):
2025-09-07T06:38:45.8697380Z     >>>     return torch.eye(data.shape).to(data.device)
2025-09-07T06:38:45.8697640Z     >>>
2025-09-07T06:38:45.8697750Z     >>>
2025-09-07T06:38:45.8697880Z     >>> act_sparsifier.register_layer(
2025-09-07T06:38:45.8698070Z     ...     model.some_layer,
2025-09-07T06:38:45.8698230Z     ...     aggregate_fn=agg_fn,
2025-09-07T06:38:45.8698410Z     ...     reduce_fn=reduce_fn,
2025-09-07T06:38:45.8698640Z     ...     mask_fn=mask_fn,
2025-09-07T06:38:45.8698790Z     ... )
2025-09-07T06:38:45.8698900Z     >>>
2025-09-07T06:38:45.8699020Z     >>> # start training process
2025-09-07T06:38:45.8699190Z     >>> for _ in [...]:
2025-09-07T06:38:45.8699330Z     >>> # epoch starts
2025-09-07T06:38:45.8699530Z     >>> # model.forward(), compute_loss() and model.backwards()
2025-09-07T06:38:45.8699760Z     >>> # epoch ends
2025-09-07T06:38:45.8699910Z     >>>     act_sparsifier.step()
2025-09-07T06:38:45.8700090Z     >>> # end training process
2025-09-07T06:38:45.8700250Z     >>> sparsifier.squash_mask()
2025-09-07T06:38:45.8700370Z 
2025-09-07T06:38:45.8700520Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.8700740Z 
2025-09-07T06:38:45.8701300Z msg = Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91.
2025-09-07T06:38:45.8702060Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.8702280Z 
2025-09-07T06:38:45.8702400Z Abstract method that needs to be implemented by the child class.
2025-09-07T06:38:45.8702740Z The expected return type should is a dictionary of name to schedule_param value
2025-09-07T06:38:45.8703130Z The returned values will be updated in sparsifier when the scheduler step() function
2025-09-07T06:38:45.8703410Z is called.
2025-09-07T06:38:45.8703480Z 
2025-09-07T06:38:45.8703610Z Example:
2025-09-07T06:38:45.8703740Z     >>> def get_schedule_param(self):
2025-09-07T06:38:45.8703930Z     ...     new_param = {}
2025-09-07T06:38:45.8704130Z     ...     for name in self.sparsifier.data_groups.keys():
2025-09-07T06:38:45.8704350Z     ...         new_param[name] = (
2025-09-07T06:38:45.8704600Z     ...             self.sparsifier.data_groups[name][self.schedule_param] * 0.5
2025-09-07T06:38:45.8704820Z     ...         )
2025-09-07T06:38:45.8704960Z     ...     return new_param
2025-09-07T06:38:45.8705070Z 
2025-09-07T06:38:45.8705270Z When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param]
2025-09-07T06:38:45.8705590Z would be halved
2025-09-07T06:38:45.8705740Z 
2025-09-07T06:38:45.8705890Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.8706120Z 
2025-09-07T06:38:45.8706550Z msg = Cannot scrape callname=RelaxedBernoulli in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=120.
2025-09-07T06:38:45.8707200Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.8707420Z 
2025-09-07T06:38:45.8707530Z Creates a RelaxedBernoulli distribution, parametrized by
2025-09-07T06:38:45.8707820Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`
2025-09-07T06:38:45.8708130Z (but not both). This is a relaxed version of the `Bernoulli` distribution,
2025-09-07T06:38:45.8708440Z so the values are in (0, 1), and has reparametrizable samples.
2025-09-07T06:38:45.8708620Z 
2025-09-07T06:38:45.8708670Z Example::
2025-09-07T06:38:45.8708730Z 
2025-09-07T06:38:45.8708830Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-09-07T06:38:45.8709060Z     >>> m = RelaxedBernoulli(torch.tensor([2.2]),
2025-09-07T06:38:45.8709280Z     ...                      torch.tensor([0.1, 0.2, 0.3, 0.99]))
2025-09-07T06:38:45.8709470Z     >>> m.sample()
2025-09-07T06:38:45.8709620Z     tensor([ 0.2951,  0.3442,  0.8918,  0.9021])
2025-09-07T06:38:45.8709780Z 
2025-09-07T06:38:45.8709820Z Args:
2025-09-07T06:38:45.8709970Z     temperature (Tensor): relaxation temperature
2025-09-07T06:38:45.8710220Z     probs (Number, Tensor): the probability of sampling `1`
2025-09-07T06:38:45.8710490Z     logits (Number, Tensor): the log-odds of sampling `1`
2025-09-07T06:38:45.8710650Z 
2025-09-07T06:38:45.8710840Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.8711060Z 
2025-09-07T06:38:45.8711530Z msg = Cannot scrape callname=RelaxedOneHotCategorical in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=109.
2025-09-07T06:38:45.8712210Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.8712430Z 
2025-09-07T06:38:45.8712560Z Creates a RelaxedOneHotCategorical distribution parametrized by
2025-09-07T06:38:45.8712870Z :attr:`temperature`, and either :attr:`probs` or :attr:`logits`.
2025-09-07T06:38:45.8713200Z This is a relaxed version of the :class:`OneHotCategorical` distribution, so
2025-09-07T06:38:45.8713500Z its samples are on simplex, and are reparametrizable.
2025-09-07T06:38:45.8713690Z 
2025-09-07T06:38:45.8713730Z Example::
2025-09-07T06:38:45.8713800Z 
2025-09-07T06:38:45.8713880Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-09-07T06:38:45.8714120Z     >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]),
2025-09-07T06:38:45.8714370Z     ...                              torch.tensor([0.1, 0.2, 0.3, 0.4]))
2025-09-07T06:38:45.8714560Z     >>> m.sample()
2025-09-07T06:38:45.8714710Z     tensor([ 0.1294,  0.2324,  0.3859,  0.2523])
2025-09-07T06:38:45.8714850Z 
2025-09-07T06:38:45.8714890Z Args:
2025-09-07T06:38:45.8715030Z     temperature (Tensor): relaxation temperature
2025-09-07T06:38:45.8715250Z     probs (Tensor): event probabilities
2025-09-07T06:38:45.8715520Z     logits (Tensor): unnormalized log probability for each event
2025-09-07T06:38:45.8715700Z 
2025-09-07T06:38:45.8715860Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.8716080Z 
2025-09-07T06:38:45.8716560Z msg = Cannot scrape callname=LowRankMultivariateNormal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56.
2025-09-07T06:38:45.8717260Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.8717480Z 
2025-09-07T06:38:45.8717660Z Creates a multivariate normal distribution with covariance matrix having a low-rank form
2025-09-07T06:38:45.8718020Z parameterized by :attr:`cov_factor` and :attr:`cov_diag`::
2025-09-07T06:38:45.8718220Z 
2025-09-07T06:38:45.8718330Z     covariance_matrix = cov_factor @ cov_factor.T + cov_diag
2025-09-07T06:38:45.8718500Z 
2025-09-07T06:38:45.8718540Z Example:
2025-09-07T06:38:45.8718700Z     >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-09-07T06:38:45.8718940Z     >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-09-07T06:38:45.8719160Z     >>> m = LowRankMultivariateNormal(
2025-09-07T06:38:45.8719400Z     ...     torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2)
2025-09-07T06:38:45.8719620Z     ... )
2025-09-07T06:38:45.8719860Z     >>> m.sample()  # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]`
2025-09-07T06:38:45.8720160Z     tensor([-0.2102, -0.5429])
2025-09-07T06:38:45.8720260Z 
2025-09-07T06:38:45.8720310Z Args:
2025-09-07T06:38:45.8720510Z     loc (Tensor): mean of the distribution with shape `batch_shape + event_shape`
2025-09-07T06:38:45.8720880Z     cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape
2025-09-07T06:38:45.8721170Z         `batch_shape + event_shape + (rank,)`
2025-09-07T06:38:45.8721460Z     cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape
2025-09-07T06:38:45.8721740Z         `batch_shape + event_shape`
2025-09-07T06:38:45.8721870Z 
2025-09-07T06:38:45.8721960Z Note:
2025-09-07T06:38:45.8722190Z     The computation for determinant and inverse of covariance matrix is avoided when
2025-09-07T06:38:45.8722570Z     `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity
2025-09-07T06:38:45.8722920Z     <https://en.wikipedia.org/wiki/Woodbury_matrix_identity>`_ and
2025-09-07T06:38:45.8723310Z     `matrix determinant lemma <https://en.wikipedia.org/wiki/Matrix_determinant_lemma>`_.
2025-09-07T06:38:45.8723710Z     Thanks to these formulas, we just need to compute the determinant and inverse of
2025-09-07T06:38:45.8724000Z     the small size "capacitance" matrix::
2025-09-07T06:38:45.8724130Z 
2025-09-07T06:38:45.8724250Z         capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor
2025-09-07T06:38:45.8724430Z 
2025-09-07T06:38:45.8724580Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.8963950Z 
2025-09-07T06:38:45.8964560Z msg = Cannot scrape callname=MixtureSameFamily in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=15.
2025-09-07T06:38:45.8965250Z Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:45.8965490Z 
2025-09-07T06:38:45.8965630Z The `MixtureSameFamily` distribution implements a (batch of) mixture
2025-09-07T06:38:45.8965990Z distribution where all component are from different parameterizations of
2025-09-07T06:38:45.8966340Z the same distribution type. It is parameterized by a `Categorical`
2025-09-07T06:38:45.8966660Z "selecting distribution" (over `k` component) and a component
2025-09-07T06:38:45.8966990Z distribution, i.e., a `Distribution` with a rightmost batch shape
2025-09-07T06:38:45.8967280Z (equal to `[k]`) which indexes each (batch of) component.
2025-09-07T06:38:45.8967440Z 
2025-09-07T06:38:45.8967500Z Examples::
2025-09-07T06:38:45.8967820Z 
2025-09-07T06:38:45.8967890Z     >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:45.8968160Z     >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally
2025-09-07T06:38:45.8968410Z     >>> # weighted normal distributions
2025-09-07T06:38:45.8968610Z     >>> mix = D.Categorical(torch.ones(5,))
2025-09-07T06:38:45.8968840Z     >>> comp = D.Normal(torch.randn(5,), torch.rand(5,))
2025-09-07T06:38:45.8969060Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-09-07T06:38:45.8969200Z 
2025-09-07T06:38:45.8969320Z     >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally
2025-09-07T06:38:45.8969590Z     >>> # weighted bivariate normal distributions
2025-09-07T06:38:45.8969800Z     >>> mix = D.Categorical(torch.ones(5,))
2025-09-07T06:38:45.8970070Z     >>> comp = D.Independent(D.Normal(
2025-09-07T06:38:45.8970280Z     ...          torch.randn(5,2), torch.rand(5,2)), 1)
2025-09-07T06:38:45.8970490Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-09-07T06:38:45.8970630Z 
2025-09-07T06:38:45.8970740Z     >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each
2025-09-07T06:38:45.8971040Z     >>> # consisting of 5 random weighted bivariate normal distributions
2025-09-07T06:38:45.8971310Z     >>> mix = D.Categorical(torch.rand(3,5))
2025-09-07T06:38:45.8971510Z     >>> comp = D.Independent(D.Normal(
2025-09-07T06:38:45.8971720Z     ...         torch.randn(3,5,2), torch.rand(3,5,2)), 1)
2025-09-07T06:38:45.8971940Z     >>> gmm = MixtureSameFamily(mix, comp)
2025-09-07T06:38:45.8972070Z 
2025-09-07T06:38:45.8972120Z Args:
2025-09-07T06:38:45.8972300Z     mixture_distribution: `torch.distributions.Categorical`-like
2025-09-07T06:38:45.8972610Z         instance. Manages the probability of selecting component.
2025-09-07T06:38:45.8972900Z         The number of categories must match the rightmost batch
2025-09-07T06:38:45.8973190Z         dimension of the `component_distribution`. Must have either
2025-09-07T06:38:45.8973460Z         scalar `batch_shape` or `batch_shape` matching
2025-09-07T06:38:45.8973690Z         `component_distribution.batch_shape[:-1]`
2025-09-07T06:38:45.8974020Z     component_distribution: `torch.distributions.Distribution`-like
2025-09-07T06:38:45.8974320Z         instance. Right-most batch dimension indexes component.
2025-09-07T06:38:45.8974500Z 
2025-09-07T06:38:45.8974650Z Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:45.8974880Z 
2025-09-07T06:38:45.8974960Z gathering tests
2025-09-07T06:38:45.8975090Z running 732 test(s)
2025-09-07T06:38:45.8975540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::typename:0, line 1082 <- wrt source file
2025-09-07T06:38:45.8976200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::typename:0
2025-09-07T06:38:45.8976860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0, line 1118 <- wrt source file
2025-09-07T06:38:45.8977520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::is_tensor:0
2025-09-07T06:38:45.8978210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0, line 1203 <- wrt source file
2025-09-07T06:38:45.8978910Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::set_default_device:0
2025-09-07T06:38:45.8979620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0, line 1252 <- wrt source file
2025-09-07T06:38:45.8980340Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::set_default_tensor_type:0
2025-09-07T06:38:45.8981070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0, line 1289 <- wrt source file
2025-09-07T06:38:45.8981780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::set_default_dtype:0
2025-09-07T06:38:45.8982500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0, line 1444 <- wrt source file
2025-09-07T06:38:45.8983240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::use_deterministic_algorithms:0
2025-09-07T06:38:45.8983940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::compile:0, line 2568 <- wrt source file
2025-09-07T06:38:45.8984730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::compile:0
2025-09-07T06:38:45.8985440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0, line 2841 <- wrt source file
2025-09-07T06:38:45.8986210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/__init__.py::_is_device_backend_autoload_enabled:0
2025-09-07T06:38:45.8986950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::Library.define:0, line 153 <- wrt source file
2025-09-07T06:38:45.8987630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::Library.define:0
2025-09-07T06:38:45.8988350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0, line 247 <- wrt source file
2025-09-07T06:38:45.8989110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0
2025-09-07T06:38:45.8989890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::Library.impl:0, line 307 <- wrt source file
2025-09-07T06:38:45.8990550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::Library.impl:0
2025-09-07T06:38:45.8991220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::define:0, line 512 <- wrt source file
2025-09-07T06:38:45.8991860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::define:0
2025-09-07T06:38:45.8992500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::impl:0, line 618 <- wrt source file
2025-09-07T06:38:45.8993130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::impl:0
2025-09-07T06:38:45.8993790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::register_kernel:0, line 799 <- wrt source file
2025-09-07T06:38:45.8994470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::register_kernel:0
2025-09-07T06:38:45.8995160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::register_autocast:0, line 867 <- wrt source file
2025-09-07T06:38:45.8995860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::register_autocast:0
2025-09-07T06:38:45.8996570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0, line 1232 <- wrt source file
2025-09-07T06:38:45.8997350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::register_torch_dispatch:0
2025-09-07T06:38:45.8998050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::register_vmap:0, line 1321 <- wrt source file
2025-09-07T06:38:45.8998730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::register_vmap:0
2025-09-07T06:38:45.8999400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0, line 55 <- wrt source file
2025-09-07T06:38:45.9000060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_custom_ops.py::custom_op:0
2025-09-07T06:38:45.9000750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0, line 138 <- wrt source file
2025-09-07T06:38:45.9001400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_custom_ops.py::impl:0
2025-09-07T06:38:45.9002070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0, line 208 <- wrt source file
2025-09-07T06:38:45.9002760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_custom_ops.py::impl_abstract:0
2025-09-07T06:38:45.9102260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0, line 39 <- wrt source file
2025-09-07T06:38:45.9103050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/quasirandom.py::SobolEngine:0
2025-09-07T06:38:45.9103790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0, line 19 <- wrt source file
2025-09-07T06:38:45.9104530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/torch_version.py::TorchVersion:0
2025-09-07T06:38:45.9105430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0, line 116 <- wrt source file
2025-09-07T06:38:45.9106250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/overrides.py::get_ignored_functions:0
2025-09-07T06:38:45.9107010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0, line 423 <- wrt source file
2025-09-07T06:38:45.9107730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/overrides.py::get_testing_overrides:0
2025-09-07T06:38:45.9108450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0, line 1578 <- wrt source file
2025-09-07T06:38:45.9109170Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/overrides.py::wrap_torch_function:0
2025-09-07T06:38:45.9109880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0, line 1713 <- wrt source file
2025-09-07T06:38:45.9110600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/overrides.py::handle_torch_function:0
2025-09-07T06:38:45.9111340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0, line 1961 <- wrt source file
2025-09-07T06:38:45.9112110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/overrides.py::is_tensor_method_or_property:0
2025-09-07T06:38:45.9112970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0, line 1980 <- wrt source file
2025-09-07T06:38:45.9113670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/overrides.py::is_tensor_like:0
2025-09-07T06:38:45.9114380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0, line 118 <- wrt source file
2025-09-07T06:38:45.9115120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_namedtensor_internals.py::update_names:0
2025-09-07T06:38:45.9115850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0, line 649 <- wrt source file
2025-09-07T06:38:45.9116630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_hook:0
2025-09-07T06:38:45.9117390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0, line 706 <- wrt source file
2025-09-07T06:38:45.9118220Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py::Tensor.register_post_accumulate_grad_hook:0
2025-09-07T06:38:45.9124300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0, line 1333 <- wrt source file
2025-09-07T06:38:45.9125050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py::Tensor.refine_names:0
2025-09-07T06:38:45.9125740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0, line 1378 <- wrt source file
2025-09-07T06:38:45.9126450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py::Tensor.align_to:0
2025-09-07T06:38:45.9127220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0, line 1451 <- wrt source file
2025-09-07T06:38:45.9127900Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py::Tensor.rename:0
2025-09-07T06:38:45.9128640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0, line 1481 <- wrt source file
2025-09-07T06:38:45.9129340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py::Tensor.to_sparse_coo:0
2025-09-07T06:38:45.9130000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/hub.py::list:0, line 473 <- wrt source file
2025-09-07T06:38:45.9130610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/hub.py::list:0
2025-09-07T06:38:45.9131220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/hub.py::help:0, line 533 <- wrt source file
2025-09-07T06:38:45.9131830Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/hub.py::help:0
2025-09-07T06:38:45.9132480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0, line 53 <- wrt source file
2025-09-07T06:38:45.9133190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor_str.py::set_printoptions:0
2025-09-07T06:38:45.9133900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0, line 64 <- wrt source file
2025-09-07T06:38:45.9134690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::broadcast_tensors:0
2025-09-07T06:38:45.9135410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0, line 92 <- wrt source file
2025-09-07T06:38:45.9136110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::broadcast_shapes:0
2025-09-07T06:38:45.9136790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::split:0, line 144 <- wrt source file
2025-09-07T06:38:45.9137440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::split:0
2025-09-07T06:38:45.9138130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::einsum:0, line 258 <- wrt source file
2025-09-07T06:38:45.9138800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::einsum:0
2025-09-07T06:38:45.9139500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0, line 992 <- wrt source file
2025-09-07T06:38:45.9140240Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::_unique_consecutive_impl:0
2025-09-07T06:38:45.9140960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::tensordot:0, line 1267 <- wrt source file
2025-09-07T06:38:45.9141630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::tensordot:0
2025-09-07T06:38:45.9142320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0, line 1351 <- wrt source file
2025-09-07T06:38:45.9143060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::cartesian_prod:0
2025-09-07T06:38:45.9143750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::block_diag:0, line 1385 <- wrt source file
2025-09-07T06:38:45.9144450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::block_diag:0
2025-09-07T06:38:45.9145110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::cdist:0, line 1441 <- wrt source file
2025-09-07T06:38:45.9145770Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::cdist:0
2025-09-07T06:38:45.9146430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0, line 1482 <- wrt source file
2025-09-07T06:38:45.9151750Z W0907 06:38:45.914000 83974 torch/fx/_symbolic_trace.py:52] is_fx_tracing will return true for both fx.symbolic_trace and torch.export. Please use is_fx_tracing_symbolic_tracing() for specifically fx.symbolic_trace or torch.compiler.is_compiling() for specifically torch.export/compile.
2025-09-07T06:38:46.0964970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::atleast_1d:0
2025-09-07T06:38:46.0965700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0, line 1520 <- wrt source file
2025-09-07T06:38:46.0966410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::atleast_2d:0
2025-09-07T06:38:46.0967250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0, line 1560 <- wrt source file
2025-09-07T06:38:46.0967950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::atleast_3d:0
2025-09-07T06:38:46.0968620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::norm:0, line 1735 <- wrt source file
2025-09-07T06:38:46.0969280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::norm:0
2025-09-07T06:38:46.0969960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::unravel_index:0, line 1903 <- wrt source file
2025-09-07T06:38:46.0970730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::unravel_index:0
2025-09-07T06:38:46.0971420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0, line 2003 <- wrt source file
2025-09-07T06:38:46.0972110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::chain_matmul:0
2025-09-07T06:38:46.0972790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0, line 2104 <- wrt source file
2025-09-07T06:38:46.0973460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py::_lu_impl:0
2025-09-07T06:38:46.0974150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::Generator:0, line 15 <- wrt source file
2025-09-07T06:38:46.0974870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::Generator:0
2025-09-07T06:38:46.0975600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::_LinAlgError:0, line 5 <- wrt source file
2025-09-07T06:38:46.0976430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_C.cpython-312-darwin.so::_LinAlgError:0
2025-09-07T06:38:46.0977220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0, line 299 <- wrt source file
2025-09-07T06:38:46.0977940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/serialization.py::add_safe_globals:0
2025-09-07T06:38:46.0978650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0, line 324 <- wrt source file
2025-09-07T06:38:46.0979360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/serialization.py::safe_globals:0
2025-09-07T06:38:46.0980050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/serialization.py::skip_data:0, line 400 <- wrt source file
2025-09-07T06:38:46.0980740Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/serialization.py::skip_data:0
2025-09-07T06:38:46.0981440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/serialization.py::register_package:0, line 472 <- wrt source file
2025-09-07T06:38:46.0982160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/serialization.py::register_package:0
2025-09-07T06:38:46.0982850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/serialization.py::save:0, line 950 <- wrt source file
2025-09-07T06:38:46.0983570Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/serialization.py::save:0
2025-09-07T06:38:46.0984290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0, line 22 <- wrt source file
2025-09-07T06:38:46.0985060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/monitor/__init__.py::TensorboardEventHandler:0
2025-09-07T06:38:46.0985830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/futures/__init__.py::Future.add_done_callback:0, line 197 <- wrt source file
2025-09-07T06:38:46.0986590Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/futures/__init__.py::Future.add_done_callback:0
2025-09-07T06:38:46.0987380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/futures/__init__.py::Future.set_exception:0, line 261 <- wrt source file
2025-09-07T06:38:46.0988120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/futures/__init__.py::Future.set_exception:0
2025-09-07T06:38:46.0988850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/futures/__init__.py::collect_all:0, line 295 <- wrt source file
2025-09-07T06:38:46.0989550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/futures/__init__.py::collect_all:0
2025-09-07T06:38:46.0990240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/__init__.py::_compile_kernel:0, line 1760 <- wrt source file
2025-09-07T06:38:46.0990950Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/__init__.py::_compile_kernel:0
2025-09-07T06:38:46.0991660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0, line 320 <- wrt source file
2025-09-07T06:38:46.0992420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_mode_options:0
2025-09-07T06:38:46.0993140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0, line 357 <- wrt source file
2025-09-07T06:38:46.0993870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_inductor/__init__.py::list_options:0
2025-09-07T06:38:46.0994610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/accelerator/__init__.py::current_accelerator:0, line 113 <- wrt source file
2025-09-07T06:38:46.0995380Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/accelerator/__init__.py::current_accelerator:0
2025-09-07T06:38:46.0996140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/accelerator/__init__.py::device_index:0, line 249 <- wrt source file
2025-09-07T06:38:46.0996870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/accelerator/__init__.py::device_index:0
2025-09-07T06:38:46.0997570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/jit/__init__.py::annotate:0, line 147 <- wrt source file
2025-09-07T06:38:46.0998240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/jit/__init__.py::annotate:0
2025-09-07T06:38:46.0998960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0, line 475 <- wrt source file
2025-09-07T06:38:46.0999790Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/sparse/__init__.py::check_sparse_tensor_invariants:0
2025-09-07T06:38:46.1000530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/__init__.py::save:0, line 349 <- wrt source file
2025-09-07T06:38:46.1001200Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/__init__.py::save:0
2025-09-07T06:38:46.1001870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/__init__.py::load:0, line 419 <- wrt source file
2025-09-07T06:38:46.1002530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/__init__.py::load:0
2025-09-07T06:38:46.1003280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0, line 576 <- wrt source file
2025-09-07T06:38:46.2853310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/__init__.py::register_dataclass:0
2025-09-07T06:38:46.2854120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nested/__init__.py::as_nested_tensor:0, line 61 <- wrt source file
2025-09-07T06:38:46.2854880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nested/__init__.py::as_nested_tensor:0
2025-09-07T06:38:46.2855630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0, line 240 <- wrt source file
2025-09-07T06:38:46.2856350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor:0
2025-09-07T06:38:46.2857050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0, line 315 <- wrt source file
2025-09-07T06:38:46.2857720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nested/__init__.py::narrow:0
2025-09-07T06:38:46.2858750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0, line 405 <- wrt source file
2025-09-07T06:38:46.2859640Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nested/__init__.py::nested_tensor_from_jagged:0
2025-09-07T06:38:46.2860400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nested/__init__.py::masked_select:0, line 481 <- wrt source file
2025-09-07T06:38:46.2861100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nested/__init__.py::masked_select:0
2025-09-07T06:38:46.2861810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0, line 127 <- wrt source file
2025-09-07T06:38:46.2862540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::allow_in_graph:0
2025-09-07T06:38:46.2863270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0, line 183 <- wrt source file
2025-09-07T06:38:46.2864010Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::substitute_in_graph:0
2025-09-07T06:38:46.2864740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0, line 413 <- wrt source file
2025-09-07T06:38:46.2865450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::wrap_numpy:0
2025-09-07T06:38:46.2866290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0, line 445 <- wrt source file
2025-09-07T06:38:46.2867090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::is_compiling:0
2025-09-07T06:38:46.2867810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0, line 466 <- wrt source file
2025-09-07T06:38:46.2868560Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::is_dynamo_compiling:0
2025-09-07T06:38:46.2869340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::is_exporting:0, line 484 <- wrt source file
2025-09-07T06:38:46.2870050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::is_exporting:0
2025-09-07T06:38:46.2870780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0, line 499 <- wrt source file
2025-09-07T06:38:46.2871540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::save_cache_artifacts:0
2025-09-07T06:38:46.2872290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0, line 514 <- wrt source file
2025-09-07T06:38:46.2873030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/compiler/__init__.py::load_cache_artifacts:0
2025-09-07T06:38:46.2873820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0, line 80 <- wrt source file
2025-09-07T06:38:46.2874610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/flat_apply.py::FlatApply.__call__:0
2025-09-07T06:38:46.2875410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0, line 155 <- wrt source file
2025-09-07T06:38:46.2876130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/cond.py::cond:0
2025-09-07T06:38:46.2876830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/map.py::map:0, line 79 <- wrt source file
2025-09-07T06:38:46.2877520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/map.py::map:0
2025-09-07T06:38:46.2878220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::scan:0, line 156 <- wrt source file
2025-09-07T06:38:46.2878910Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::scan:0
2025-09-07T06:38:46.2879640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0, line 474 <- wrt source file
2025-09-07T06:38:46.2880390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/scan.py::ScanAutogradOp:0
2025-09-07T06:38:46.2881180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0, line 186 <- wrt source file
2025-09-07T06:38:46.2882030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::associative_scan:0
2025-09-07T06:38:46.2882870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0, line 322 <- wrt source file
2025-09-07T06:38:46.2883730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_higher_order_ops/associative_scan.py::generic_associative_scan:0
2025-09-07T06:38:46.2884540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0, line 95 <- wrt source file
2025-09-07T06:38:46.2885240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_prims/context.py::TorchRefsMode:0
2025-09-07T06:38:46.2886000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0, line 459 <- wrt source file
2025-09-07T06:38:46.2886700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_logging/_internal.py::set_logs:0
2025-09-07T06:38:46.2887410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0, line 194 <- wrt source file
2025-09-07T06:38:46.2888130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/fx_minifier.py::minifier:0
2025-09-07T06:38:46.2888860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0, line 768 <- wrt source file
2025-09-07T06:38:46.2889610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/aot_autograd.py::aot_function:0
2025-09-07T06:38:46.2890340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0, line 233 <- wrt source file
2025-09-07T06:38:46.2891090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::vjp:0
2025-09-07T06:38:46.2891820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0, line 475 <- wrt source file
2025-09-07T06:38:46.2926060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacrev:0
2025-09-07T06:38:46.2926880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0, line 1023 <- wrt source file
2025-09-07T06:38:46.2927650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jvp:0
2025-09-07T06:38:46.2928430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0, line 1181 <- wrt source file
2025-09-07T06:38:46.2929210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::jacfwd:0
2025-09-07T06:38:46.2929970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0, line 1341 <- wrt source file
2025-09-07T06:38:46.2930730Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::hessian:0
2025-09-07T06:38:46.2931490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0, line 1505 <- wrt source file
2025-09-07T06:38:46.2932400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::functionalize:0
2025-09-07T06:38:46.2933180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0, line 1704 <- wrt source file
2025-09-07T06:38:46.2933930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/eager_transforms.py::linearize:0
2025-09-07T06:38:46.2934710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0, line 184 <- wrt source file
2025-09-07T06:38:46.2935580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/benchmark_utils.py::benchmark_utilization:0
2025-09-07T06:38:46.2936420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0, line 36 <- wrt source file
2025-09-07T06:38:46.2937190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/functional_call.py::functional_call:0
2025-09-07T06:38:46.2938080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0, line 1131 <- wrt source file
2025-09-07T06:38:46.2938980Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::CompilerWrapper.post_compile:0
2025-09-07T06:38:46.2939880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0, line 1186 <- wrt source file
2025-09-07T06:38:46.2940750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/_aot_autograd/schemas.py::InductorWrapper.post_compile:0
2025-09-07T06:38:46.2941590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0, line 171 <- wrt source file
2025-09-07T06:38:46.2942330Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_equal:0
2025-09-07T06:38:46.2943180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0, line 1008 <- wrt source file
2025-09-07T06:38:46.2943920Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_less:0
2025-09-07T06:38:46.2944650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0, line 1073 <- wrt source file
2025-09-07T06:38:46.2945400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_string_equal:0
2025-09-07T06:38:46.2946130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0, line 1294 <- wrt source file
2025-09-07T06:38:46.2946850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_allclose:0
2025-09-07T06:38:46.2947600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0, line 1360 <- wrt source file
2025-09-07T06:38:46.2948400Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_almost_equal_nulp:0
2025-09-07T06:38:46.2949210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0, line 1423 <- wrt source file
2025-09-07T06:38:46.2949960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_array_max_ulp:0
2025-09-07T06:38:46.2950760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0, line 1468 <- wrt source file
2025-09-07T06:38:46.2951480Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::nulp_diff:0
2025-09-07T06:38:46.2952200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0, line 1578 <- wrt source file
2025-09-07T06:38:46.2952990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py::assert_warns:0
2025-09-07T06:38:46.2953770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0, line 1410 <- wrt source file
2025-09-07T06:38:46.2954580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_export/utils.py::register_module_as_pytree_input_node:0
2025-09-07T06:38:46.2955440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0, line 158 <- wrt source file
2025-09-07T06:38:46.2956330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_export/wrappers.py::mark_subclass_constructor_exportable_experimental:0
2025-09-07T06:38:46.2957190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0, line 460 <- wrt source file
2025-09-07T06:38:46.2958060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool2d_with_indices:0
2025-09-07T06:38:46.2958900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0, line 579 <- wrt source file
2025-09-07T06:38:46.2959710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::fractional_max_pool3d_with_indices:0
2025-09-07T06:38:46.2960480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0, line 2174 <- wrt source file
2025-09-07T06:38:46.2961190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::gumbel_softmax:0
2025-09-07T06:38:46.2961890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0, line 2478 <- wrt source file
2025-09-07T06:38:46.2962580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::embedding:0
2025-09-07T06:38:46.2963270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0, line 2618 <- wrt source file
2025-09-07T06:38:46.2963980Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::embedding_bag:0
2025-09-07T06:38:46.2964670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0, line 3051 <- wrt source file
2025-09-07T06:38:46.2987270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::ctc_loss:0
2025-09-07T06:38:46.2987990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0, line 3121 <- wrt source file
2025-09-07T06:38:46.2988690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::nll_loss:0
2025-09-07T06:38:46.2989410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0, line 3430 <- wrt source file
2025-09-07T06:38:46.2990140Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::cross_entropy:0
2025-09-07T06:38:46.2990890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0, line 3495 <- wrt source file
2025-09-07T06:38:46.2991630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy:0
2025-09-07T06:38:46.2992400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0, line 3565 <- wrt source file
2025-09-07T06:38:46.2993200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::binary_cross_entropy_with_logits:0
2025-09-07T06:38:46.2993940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::pad:0, line 5263 <- wrt source file
2025-09-07T06:38:46.2994600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/functional.py::pad:0
2025-09-07T06:38:46.2995250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0, line 230 <- wrt source file
2025-09-07T06:38:46.2995890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::uniform_:0
2025-09-07T06:38:46.2996560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::normal_:0, line 257 <- wrt source file
2025-09-07T06:38:46.2997220Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::normal_:0
2025-09-07T06:38:46.2997880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0, line 292 <- wrt source file
2025-09-07T06:38:46.2998550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::trunc_normal_:0
2025-09-07T06:38:46.2999210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::constant_:0, line 306 <- wrt source file
2025-09-07T06:38:46.2999850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::constant_:0
2025-09-07T06:38:46.3000500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::ones_:0, line 323 <- wrt source file
2025-09-07T06:38:46.3001130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::ones_:0
2025-09-07T06:38:46.3001760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0, line 336 <- wrt source file
2025-09-07T06:38:46.3002390Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::zeros_:0
2025-09-07T06:38:46.3003020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::eye_:0, line 352 <- wrt source file
2025-09-07T06:38:46.3003670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::eye_:0
2025-09-07T06:38:46.3004310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0, line 374 <- wrt source file
2025-09-07T06:38:46.3004940Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::dirac_:0
2025-09-07T06:38:46.3005600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0, line 460 <- wrt source file
2025-09-07T06:38:46.3006310Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::xavier_uniform_:0
2025-09-07T06:38:46.3007010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0, line 492 <- wrt source file
2025-09-07T06:38:46.3007680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::xavier_normal_:0
2025-09-07T06:38:46.3008350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0, line 543 <- wrt source file
2025-09-07T06:38:46.3009030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::kaiming_uniform_:0
2025-09-07T06:38:46.3009710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0, line 608 <- wrt source file
2025-09-07T06:38:46.3010380Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::kaiming_normal_:0
2025-09-07T06:38:46.3011050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0, line 647 <- wrt source file
2025-09-07T06:38:46.3011710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::orthogonal_:0
2025-09-07T06:38:46.3012440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0, line 700 <- wrt source file
2025-09-07T06:38:46.3013100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py::sparse_:0
2025-09-07T06:38:46.3013780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0, line 32 <- wrt source file
2025-09-07T06:38:46.3014450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_input:0
2025-09-07T06:38:46.3015110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0, line 79 <- wrt source file
2025-09-07T06:38:46.3015780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/grad.py::conv1d_weight:0
2025-09-07T06:38:46.3016450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0, line 130 <- wrt source file
2025-09-07T06:38:46.3017110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_input:0
2025-09-07T06:38:46.3017780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0, line 177 <- wrt source file
2025-09-07T06:38:46.3018450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/grad.py::conv2d_weight:0
2025-09-07T06:38:46.3019160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0, line 228 <- wrt source file
2025-09-07T06:38:46.3019890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_input:0
2025-09-07T06:38:46.3020590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0, line 275 <- wrt source file
2025-09-07T06:38:46.3021270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/grad.py::conv3d_weight:0
2025-09-07T06:38:46.3021970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0, line 120 <- wrt source file
2025-09-07T06:38:46.3022780Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/attention/__init__.py::sdpa_kernel:0
2025-09-07T06:38:46.3023510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0, line 95 <- wrt source file
2025-09-07T06:38:46.3024220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/attention/bias.py::CausalBias:0
2025-09-07T06:38:46.3024960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0, line 127 <- wrt source file
2025-09-07T06:38:46.3025720Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/data_parallel.py::DataParallel:0
2025-09-07T06:38:47.8002170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0, line 642 <- wrt source file
2025-09-07T06:38:47.8003120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel:0
2025-09-07T06:38:47.8004030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0, line 1446 <- wrt source file
2025-09-07T06:38:47.8005170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.no_sync:0
2025-09-07T06:38:47.8006220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0, line 1999 <- wrt source file
2025-09-07T06:38:47.8007200Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:0
2025-09-07T06:38:47.8008140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1, line 2009 <- wrt source file
2025-09-07T06:38:47.8009070Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel.register_comm_hook:1
2025-09-07T06:38:47.8010030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0, line 2044 <- wrt source file
2025-09-07T06:38:47.8011000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py::DistributedDataParallel._register_builtin_comm_hook:0
2025-09-07T06:38:47.8011870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0, line 314 <- wrt source file
2025-09-07T06:38:47.8012740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::spectral_norm:0
2025-09-07T06:38:47.8013510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0, line 346 <- wrt source file
2025-09-07T06:38:47.8014290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/spectral_norm.py::remove_spectral_norm:0
2025-09-07T06:38:47.8015070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0, line 196 <- wrt source file
2025-09-07T06:38:47.8015820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/stateless.py::functional_call:0
2025-09-07T06:38:47.8016660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0, line 35 <- wrt source file
2025-09-07T06:38:47.8017470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/_per_sample_grad.py::call_for_per_sample_grads:0
2025-09-07T06:38:47.8018250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0, line 134 <- wrt source file
2025-09-07T06:38:47.8018970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::weight_norm:0
2025-09-07T06:38:47.8019710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0, line 156 <- wrt source file
2025-09-07T06:38:47.8020470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py::remove_weight_norm:0
2025-09-07T06:38:47.8021200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0, line 849 <- wrt source file
2025-09-07T06:38:47.8021920Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py::identity:0
2025-09-07T06:38:47.8022660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0, line 885 <- wrt source file
2025-09-07T06:38:47.8023410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_unstructured:0
2025-09-07T06:38:47.8024130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0, line 928 <- wrt source file
2025-09-07T06:38:47.8024850Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py::l1_unstructured:0
2025-09-07T06:38:47.8025650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_structured:0, line 968 <- wrt source file
2025-09-07T06:38:47.8026410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py::random_structured:0
2025-09-07T06:38:47.8027120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0, line 1197 <- wrt source file
2025-09-07T06:38:47.8027910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py::remove:0
2025-09-07T06:38:47.8028630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0, line 1225 <- wrt source file
2025-09-07T06:38:47.8029520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py::is_pruned:0
2025-09-07T06:38:47.8030410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0, line 265 <- wrt source file
2025-09-07T06:38:47.8031270Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::orthogonal:0
2025-09-07T06:38:47.8032060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0, line 360 <- wrt source file
2025-09-07T06:38:47.8032820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::weight_norm:0
2025-09-07T06:38:47.8033650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0, line 591 <- wrt source file
2025-09-07T06:38:47.8034430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/parametrizations.py::spectral_norm:0
2025-09-07T06:38:47.8035170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0, line 33 <- wrt source file
2025-09-07T06:38:47.8035850Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/init.py::skip_init:0
2025-09-07T06:38:47.8036530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0, line 439 <- wrt source file
2025-09-07T06:38:47.8037230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pad_sequence:0
2025-09-07T06:38:47.8037930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0, line 500 <- wrt source file
2025-09-07T06:38:47.8038660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpad_sequence:0
2025-09-07T06:38:47.8039360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0, line 556 <- wrt source file
2025-09-07T06:38:47.8040110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/rnn.py::pack_sequence:0
2025-09-07T06:38:47.8040810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0, line 584 <- wrt source file
2025-09-07T06:38:47.8041520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/rnn.py::unpack_sequence:0
2025-09-07T06:38:47.8042360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0, line 178 <- wrt source file
2025-09-07T06:38:48.1195930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/expanded_weights_utils.py::sum_over_all_but_batch_and_last_n:0
2025-09-07T06:38:48.1196950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0, line 315 <- wrt source file
2025-09-07T06:38:48.1197850Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/_expanded_weights/conv_utils.py::unfold3d:0
2025-09-07T06:38:48.1198670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0, line 77 <- wrt source file
2025-09-07T06:38:48.1199660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::Upsample:0
2025-09-07T06:38:48.1200420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0, line 229 <- wrt source file
2025-09-07T06:38:48.1201210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingNearest2d:0
2025-09-07T06:38:48.1202040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0, line 279 <- wrt source file
2025-09-07T06:38:48.1203060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/upsampling.py::UpsamplingBilinear2d:0
2025-09-07T06:38:48.1203850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0, line 21 <- wrt source file
2025-09-07T06:38:48.1204630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/channelshuffle.py::ChannelShuffle:0
2025-09-07T06:38:48.1205420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0, line 187 <- wrt source file
2025-09-07T06:38:48.1206190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm1d:0
2025-09-07T06:38:48.1206950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0, line 303 <- wrt source file
2025-09-07T06:38:48.1207800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm2d:0
2025-09-07T06:38:48.1208640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0, line 419 <- wrt source file
2025-09-07T06:38:48.1209520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/instancenorm.py::InstanceNorm3d:0
2025-09-07T06:38:48.1210320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0, line 30 <- wrt source file
2025-09-07T06:38:48.1211030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/flatten.py::Flatten:0
2025-09-07T06:38:48.1211750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0, line 332 <- wrt source file
2025-09-07T06:38:48.1212480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm1d:0
2025-09-07T06:38:48.1213210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0, line 443 <- wrt source file
2025-09-07T06:38:48.1213940Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm2d:0
2025-09-07T06:38:48.1214670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0, line 554 <- wrt source file
2025-09-07T06:38:48.1215400Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py::BatchNorm3d:0
2025-09-07T06:38:48.1216170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0, line 34 <- wrt source file
2025-09-07T06:38:48.1216880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/linear.py::Identity:0
2025-09-07T06:38:48.1217570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0, line 83 <- wrt source file
2025-09-07T06:38:48.1218260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/linear.py::Linear:0
2025-09-07T06:38:48.1218950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0, line 191 <- wrt source file
2025-09-07T06:38:48.1219710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/linear.py::Bilinear:0
2025-09-07T06:38:48.1220410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0, line 129 <- wrt source file
2025-09-07T06:38:48.1221130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool1d:0
2025-09-07T06:38:48.1221840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0, line 207 <- wrt source file
2025-09-07T06:38:48.1222550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool2d:0
2025-09-07T06:38:48.1223260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0, line 291 <- wrt source file
2025-09-07T06:38:48.1223970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxPool3d:0
2025-09-07T06:38:48.1224680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0, line 366 <- wrt source file
2025-09-07T06:38:48.1225420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool1d:0
2025-09-07T06:38:48.1226160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0, line 550 <- wrt source file
2025-09-07T06:38:48.1226890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::MaxUnpool3d:0
2025-09-07T06:38:48.1227610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0, line 642 <- wrt source file
2025-09-07T06:38:48.1228320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool1d:0
2025-09-07T06:38:48.1229040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0, line 738 <- wrt source file
2025-09-07T06:38:48.1229750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool2d:0
2025-09-07T06:38:48.1230470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0, line 855 <- wrt source file
2025-09-07T06:38:48.1231180Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AvgPool3d:0
2025-09-07T06:38:48.1231920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0, line 946 <- wrt source file
2025-09-07T06:38:48.1232720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool2d:0
2025-09-07T06:38:48.1233500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0, line 1033 <- wrt source file
2025-09-07T06:38:48.1234270Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::FractionalMaxPool3d:0
2025-09-07T06:38:48.1235010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0, line 1152 <- wrt source file
2025-09-07T06:38:48.1235720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool1d:0
2025-09-07T06:38:48.1249530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0, line 1204 <- wrt source file
2025-09-07T06:38:48.1250350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool2d:0
2025-09-07T06:38:48.1251150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0, line 1264 <- wrt source file
2025-09-07T06:38:48.1251890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::LPPool3d:0
2025-09-07T06:38:48.1252640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0, line 1320 <- wrt source file
2025-09-07T06:38:48.1253430Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool1d:0
2025-09-07T06:38:48.1254200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0, line 1355 <- wrt source file
2025-09-07T06:38:48.1255070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool2d:0
2025-09-07T06:38:48.1255830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0, line 1399 <- wrt source file
2025-09-07T06:38:48.1256610Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveMaxPool3d:0
2025-09-07T06:38:48.1257360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0, line 1447 <- wrt source file
2025-09-07T06:38:48.1258160Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool1d:0
2025-09-07T06:38:48.1258910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0, line 1481 <- wrt source file
2025-09-07T06:38:48.1259710Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool2d:0
2025-09-07T06:38:48.1260470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0, line 1521 <- wrt source file
2025-09-07T06:38:48.1261240Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py::AdaptiveAvgPool3d:0
2025-09-07T06:38:48.1262050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0, line 38 <- wrt source file
2025-09-07T06:38:48.1262890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/distance.py::PairwiseDistance:0
2025-09-07T06:38:48.1263660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0, line 81 <- wrt source file
2025-09-07T06:38:48.1264410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/distance.py::CosineSimilarity:0
2025-09-07T06:38:48.1265170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0, line 81 <- wrt source file
2025-09-07T06:38:48.1265900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential:0
2025-09-07T06:38:48.1266690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.append:0, line 260 <- wrt source file
2025-09-07T06:38:48.1267460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.append:0
2025-09-07T06:38:48.1268230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.insert:0, line 283 <- wrt source file
2025-09-07T06:38:48.1269000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.insert:0
2025-09-07T06:38:48.1269770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.extend:0, line 314 <- wrt source file
2025-09-07T06:38:48.1270530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::Sequential.extend:0
2025-09-07T06:38:48.1271280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0, line 343 <- wrt source file
2025-09-07T06:38:48.1272040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleList:0
2025-09-07T06:38:48.1272780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0, line 523 <- wrt source file
2025-09-07T06:38:48.1273510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::ModuleDict:0
2025-09-07T06:38:48.1274250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0, line 653 <- wrt source file
2025-09-07T06:38:48.1274990Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterList:0
2025-09-07T06:38:48.1275730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0, line 808 <- wrt source file
2025-09-07T06:38:48.1276470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/container.py::ParameterDict:0
2025-09-07T06:38:48.1277220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0, line 40 <- wrt source file
2025-09-07T06:38:48.1277980Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelShuffle:0
2025-09-07T06:38:48.1278740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0, line 99 <- wrt source file
2025-09-07T06:38:48.1279570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pixelshuffle.py::PixelUnshuffle:0
2025-09-07T06:38:48.1280300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0, line 115 <- wrt source file
2025-09-07T06:38:48.1280980Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::L1Loss:0
2025-09-07T06:38:48.1281660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0, line 215 <- wrt source file
2025-09-07T06:38:48.1282340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::NLLLoss:0
2025-09-07T06:38:48.1283100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0, line 329 <- wrt source file
2025-09-07T06:38:48.1283820Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::PoissonNLLLoss:0
2025-09-07T06:38:48.1284550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0, line 418 <- wrt source file
2025-09-07T06:38:48.1285280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::GaussianNLLLoss:0
2025-09-07T06:38:48.1285990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0, line 535 <- wrt source file
2025-09-07T06:38:48.1286680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::KLDivLoss:0
2025-09-07T06:38:48.1287380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0, line 617 <- wrt source file
2025-09-07T06:38:48.1288100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::MSELoss:0
2025-09-07T06:38:48.1288780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0, line 703 <- wrt source file
2025-09-07T06:38:48.9229060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCELoss:0
2025-09-07T06:38:48.9229880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0, line 778 <- wrt source file
2025-09-07T06:38:48.9230670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:0
2025-09-07T06:38:48.9231450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1, line 826 <- wrt source file
2025-09-07T06:38:48.9232220Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::BCEWithLogitsLoss:1
2025-09-07T06:38:48.9233010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0, line 974 <- wrt source file
2025-09-07T06:38:48.9233790Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiLabelMarginLoss:0
2025-09-07T06:38:48.9234550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0, line 1306 <- wrt source file
2025-09-07T06:38:48.9235470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:0
2025-09-07T06:38:48.9236210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1, line 1333 <- wrt source file
2025-09-07T06:38:48.9236950Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::CrossEntropyLoss:1
2025-09-07T06:38:48.9237690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0, line 1495 <- wrt source file
2025-09-07T06:38:48.9238440Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::CosineEmbeddingLoss:0
2025-09-07T06:38:48.9239280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0, line 1562 <- wrt source file
2025-09-07T06:38:48.9240020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::MarginRankingLoss:0
2025-09-07T06:38:48.9240750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0, line 1643 <- wrt source file
2025-09-07T06:38:48.9241480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::MultiMarginLoss:0
2025-09-07T06:38:48.9242210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0, line 1745 <- wrt source file
2025-09-07T06:38:48.9242950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py::TripletMarginLoss:0
2025-09-07T06:38:48.9243680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0, line 72 <- wrt source file
2025-09-07T06:38:48.9244470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Threshold:0
2025-09-07T06:38:48.9245190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0, line 120 <- wrt source file
2025-09-07T06:38:48.9245930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU:0
2025-09-07T06:38:48.9246640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0, line 185 <- wrt source file
2025-09-07T06:38:48.9247360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::RReLU:0
2025-09-07T06:38:48.9248080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0, line 247 <- wrt source file
2025-09-07T06:38:48.9248800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardtanh:0
2025-09-07T06:38:48.9249520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0, line 318 <- wrt source file
2025-09-07T06:38:48.9250230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::ReLU6:0
2025-09-07T06:38:48.9250950Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0, line 349 <- wrt source file
2025-09-07T06:38:48.9251670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Sigmoid:0
2025-09-07T06:38:48.9252460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0, line 384 <- wrt source file
2025-09-07T06:38:48.9253210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardsigmoid:0
2025-09-07T06:38:48.9253960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0, line 420 <- wrt source file
2025-09-07T06:38:48.9254670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanh:0
2025-09-07T06:38:48.9255400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0, line 456 <- wrt source file
2025-09-07T06:38:48.9256100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::SiLU:0
2025-09-07T06:38:48.9256810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0, line 501 <- wrt source file
2025-09-07T06:38:48.9257510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Mish:0
2025-09-07T06:38:48.9258230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0, line 552 <- wrt source file
2025-09-07T06:38:48.9258960Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardswish:0
2025-09-07T06:38:48.9259670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0, line 598 <- wrt source file
2025-09-07T06:38:48.9260380Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::ELU:0
2025-09-07T06:38:48.9261180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0, line 646 <- wrt source file
2025-09-07T06:38:48.9261890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::CELU:0
2025-09-07T06:38:48.9262640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0, line 705 <- wrt source file
2025-09-07T06:38:48.9263340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::SELU:0
2025-09-07T06:38:48.9264050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0, line 751 <- wrt source file
2025-09-07T06:38:48.9264750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::GLU:0
2025-09-07T06:38:48.9265450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0, line 799 <- wrt source file
2025-09-07T06:38:48.9266150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::GELU:0
2025-09-07T06:38:48.9266870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0, line 848 <- wrt source file
2025-09-07T06:38:48.9267620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Hardshrink:0
2025-09-07T06:38:48.9268410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0, line 903 <- wrt source file
2025-09-07T06:38:49.6434970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::LeakyReLU:0
2025-09-07T06:38:49.6435800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0, line 945 <- wrt source file
2025-09-07T06:38:49.6436590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSigmoid:0
2025-09-07T06:38:49.6437350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0, line 981 <- wrt source file
2025-09-07T06:38:49.6438330Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softplus:0
2025-09-07T06:38:49.6439130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0, line 1030 <- wrt source file
2025-09-07T06:38:49.6439910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softshrink:0
2025-09-07T06:38:49.6440700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0, line 1144 <- wrt source file
2025-09-07T06:38:49.6441510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::MultiheadAttention:0
2025-09-07T06:38:49.6442290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0, line 1609 <- wrt source file
2025-09-07T06:38:49.6443030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::PReLU:0
2025-09-07T06:38:49.6443780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0, line 1660 <- wrt source file
2025-09-07T06:38:49.6444620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softsign:0
2025-09-07T06:38:49.6445420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0, line 1686 <- wrt source file
2025-09-07T06:38:49.6446330Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Tanhshrink:0
2025-09-07T06:38:49.6452710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0, line 1724 <- wrt source file
2025-09-07T06:38:49.6453580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmin:0
2025-09-07T06:38:49.6454350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0, line 1788 <- wrt source file
2025-09-07T06:38:49.6455210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax:0
2025-09-07T06:38:49.6455940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0, line 1835 <- wrt source file
2025-09-07T06:38:49.6456690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::Softmax2d:0
2025-09-07T06:38:49.6457620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0, line 1874 <- wrt source file
2025-09-07T06:38:49.6458360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/activation.py::LogSoftmax:0
2025-09-07T06:38:49.6459100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0, line 90 <- wrt source file
2025-09-07T06:38:49.6459840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py::Transformer:0
2025-09-07T06:38:49.6460600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0, line 336 <- wrt source file
2025-09-07T06:38:49.6461420Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoder:0
2025-09-07T06:38:49.6462220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0, line 562 <- wrt source file
2025-09-07T06:38:49.6463010Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoder:0
2025-09-07T06:38:49.6463810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0, line 686 <- wrt source file
2025-09-07T06:38:49.6464620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerEncoderLayer:0
2025-09-07T06:38:49.6465430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0, line 995 <- wrt source file
2025-09-07T06:38:49.6466240Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py::TransformerDecoderLayer:0
2025-09-07T06:38:49.6467050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0, line 71 <- wrt source file
2025-09-07T06:38:49.6467750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding:0
2025-09-07T06:38:49.6468510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0, line 243 <- wrt source file
2025-09-07T06:38:49.6469300Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/sparse.py::Embedding.from_pretrained:0
2025-09-07T06:38:49.6470110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0, line 521 <- wrt source file
2025-09-07T06:38:49.6470910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/sparse.py::EmbeddingBag.from_pretrained:0
2025-09-07T06:38:49.6471700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0, line 551 <- wrt source file
2025-09-07T06:38:49.6472470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.register_buffer:0
2025-09-07T06:38:49.6473220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0, line 1039 <- wrt source file
2025-09-07T06:38:49.6473950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.apply:0
2025-09-07T06:38:49.6474710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0, line 1290 <- wrt source file
2025-09-07T06:38:49.6475430Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.to:0
2025-09-07T06:38:49.6476160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0, line 2229 <- wrt source file
2025-09-07T06:38:49.6476910Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.state_dict:0
2025-09-07T06:38:49.6477650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0, line 2670 <- wrt source file
2025-09-07T06:38:49.6478450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.parameters:0
2025-09-07T06:38:49.6479210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0, line 2698 <- wrt source file
2025-09-07T06:38:49.6479990Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_parameters:0
2025-09-07T06:38:49.6480750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0, line 2725 <- wrt source file
2025-09-07T06:38:50.3025900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.buffers:0
2025-09-07T06:38:50.3026720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0, line 2752 <- wrt source file
2025-09-07T06:38:50.3027520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_buffers:0
2025-09-07T06:38:50.3028470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0, line 2783 <- wrt source file
2025-09-07T06:38:50.3029530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_children:0
2025-09-07T06:38:50.3030290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0, line 2807 <- wrt source file
2025-09-07T06:38:50.3031050Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.modules:0
2025-09-07T06:38:50.3031850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0, line 2845 <- wrt source file
2025-09-07T06:38:50.3032630Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/module.py::Module.named_modules:0
2025-09-07T06:38:50.3033400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0, line 60 <- wrt source file
2025-09-07T06:38:50.3034110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout:0
2025-09-07T06:38:50.3034820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0, line 108 <- wrt source file
2025-09-07T06:38:50.3035530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout1d:0
2025-09-07T06:38:50.3036360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0, line 163 <- wrt source file
2025-09-07T06:38:50.3037080Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout2d:0
2025-09-07T06:38:50.3037790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0, line 211 <- wrt source file
2025-09-07T06:38:50.3038530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/dropout.py::Dropout3d:0
2025-09-07T06:38:50.3039240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0, line 257 <- wrt source file
2025-09-07T06:38:50.3040030Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/dropout.py::AlphaDropout:0
2025-09-07T06:38:50.3040780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0, line 309 <- wrt source file
2025-09-07T06:38:50.3041550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/dropout.py::FeatureAlphaDropout:0
2025-09-07T06:38:50.3042300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0, line 77 <- wrt source file
2025-09-07T06:38:50.3043020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/lazy.py::LazyModuleMixin:0
2025-09-07T06:38:50.3043780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0, line 38 <- wrt source file
2025-09-07T06:38:50.3044570Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LocalResponseNorm:0
2025-09-07T06:38:50.3045380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0, line 163 <- wrt source file
2025-09-07T06:38:50.3046170Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/normalization.py::LayerNorm:0
2025-09-07T06:38:50.3046920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0, line 274 <- wrt source file
2025-09-07T06:38:50.3047670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/normalization.py::GroupNorm:0
2025-09-07T06:38:50.3048420Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0, line 367 <- wrt source file
2025-09-07T06:38:50.3049150Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/normalization.py::RMSNorm:0
2025-09-07T06:38:50.3049840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0, line 595 <- wrt source file
2025-09-07T06:38:50.3050510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNN:0
2025-09-07T06:38:50.3051170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0, line 953 <- wrt source file
2025-09-07T06:38:50.3051840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTM:0
2025-09-07T06:38:50.3052540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0, line 1288 <- wrt source file
2025-09-07T06:38:50.3053210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRU:0
2025-09-07T06:38:50.3053890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0, line 1537 <- wrt source file
2025-09-07T06:38:50.3054600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/rnn.py::RNNCell:0
2025-09-07T06:38:50.3055300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0, line 1659 <- wrt source file
2025-09-07T06:38:50.3056020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/rnn.py::LSTMCell:0
2025-09-07T06:38:50.3056700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0, line 1773 <- wrt source file
2025-09-07T06:38:50.3057370Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/rnn.py::GRUCell:0
2025-09-07T06:38:50.3058080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0, line 70 <- wrt source file
2025-09-07T06:38:50.3058840Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad1d:0
2025-09-07T06:38:50.3059590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0, line 122 <- wrt source file
2025-09-07T06:38:50.3060340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad2d:0
2025-09-07T06:38:50.3061080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0, line 187 <- wrt source file
2025-09-07T06:38:50.3061830Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::CircularPad3d:0
2025-09-07T06:38:50.3062580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0, line 241 <- wrt source file
2025-09-07T06:38:50.3063320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad1d:0
2025-09-07T06:38:50.3064050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0, line 294 <- wrt source file
2025-09-07T06:38:50.3064780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad2d:0
2025-09-07T06:38:50.3065510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0, line 350 <- wrt source file
2025-09-07T06:38:50.3066260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ConstantPad3d:0
2025-09-07T06:38:50.3067000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0, line 395 <- wrt source file
2025-09-07T06:38:50.3067740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad1d:0
2025-09-07T06:38:50.3068510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0, line 439 <- wrt source file
2025-09-07T06:38:50.3069250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad2d:0
2025-09-07T06:38:50.3069990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0, line 497 <- wrt source file
2025-09-07T06:38:50.3070740Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReflectionPad3d:0
2025-09-07T06:38:50.3071480Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0, line 556 <- wrt source file
2025-09-07T06:38:50.3072250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad1d:0
2025-09-07T06:38:50.3073000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0, line 600 <- wrt source file
2025-09-07T06:38:50.3073750Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad2d:0
2025-09-07T06:38:50.3074490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0, line 658 <- wrt source file
2025-09-07T06:38:50.3075230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ReplicationPad3d:0
2025-09-07T06:38:50.3075960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0, line 692 <- wrt source file
2025-09-07T06:38:50.3076670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad1d:0
2025-09-07T06:38:50.3077380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0, line 750 <- wrt source file
2025-09-07T06:38:50.3078140Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad2d:0
2025-09-07T06:38:50.3078870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0, line 812 <- wrt source file
2025-09-07T06:38:50.3079580Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/padding.py::ZeroPad3d:0
2025-09-07T06:38:50.3080270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0, line 224 <- wrt source file
2025-09-07T06:38:50.3080950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/fold.py::Fold:0
2025-09-07T06:38:50.3081610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0, line 395 <- wrt source file
2025-09-07T06:38:50.3082290Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/fold.py::Unfold:0
2025-09-07T06:38:50.3083010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/_distributed_c10d.py::__doc__:0, line 11 <- wrt source file
2025-09-07T06:38:50.3083770Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/_distributed_c10d.py::__doc__:0
2025-09-07T06:38:50.3084490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/run.py::__doc__:0, line 57 <- wrt source file
2025-09-07T06:38:50.3085220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/run.py::__doc__:0
2025-09-07T06:38:50.3085980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0, line 2573 <- wrt source file
2025-09-07T06:38:50.3086810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_coalescing_manager:0
2025-09-07T06:38:50.3087620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0, line 2675 <- wrt source file
2025-09-07T06:38:50.3088420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::_time_estimator:0
2025-09-07T06:38:50.3089280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0, line 3146 <- wrt source file
2025-09-07T06:38:50.3090090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_object:0
2025-09-07T06:38:50.3090890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0, line 3380 <- wrt source file
2025-09-07T06:38:50.3091720Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::send_object_list:0
2025-09-07T06:38:50.3092540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0, line 3497 <- wrt source file
2025-09-07T06:38:50.3093370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::recv_object_list:0
2025-09-07T06:38:50.3094220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0, line 3643 <- wrt source file
2025-09-07T06:38:50.3095160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::broadcast_object_list:0
2025-09-07T06:38:50.3096040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0, line 3766 <- wrt source file
2025-09-07T06:38:50.3096860Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter_object_list:0
2025-09-07T06:38:50.3097690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0, line 3975 <- wrt source file
2025-09-07T06:38:50.3098510Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_into_tensor:0
2025-09-07T06:38:50.3099340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0, line 4113 <- wrt source file
2025-09-07T06:38:50.3100160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::all_gather_coalesced:0
2025-09-07T06:38:50.3100960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::gather:0, line 4219 <- wrt source file
2025-09-07T06:38:50.3101710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::gather:0
2025-09-07T06:38:50.3102510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter:0, line 4304 <- wrt source file
2025-09-07T06:38:50.3103280Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::scatter:0
2025-09-07T06:38:50.3104070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0, line 4442 <- wrt source file
2025-09-07T06:38:50.3104890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::reduce_scatter_tensor:0
2025-09-07T06:38:50.3105740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py::monitored_barrier:0, line 4926 <- wrt source file
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2025-09-07T06:38:50.3144160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py::TensorChunkSpec.from_dict:0, line 102 <- wrt source file
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2025-09-07T06:38:50.3145900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/algorithms/join.py::Join:0, line 141 <- wrt source file
2025-09-07T06:38:50.3146650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/algorithms/join.py::Join:0
2025-09-07T06:38:50.3147490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/__init__.py::register_ddp_comm_hook:0, line 107 <- wrt source file
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2025-09-07T06:38:50.3151400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/quantization_hooks.py::quantization_perchannel_hook:0, line 145 <- wrt source file
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2025-09-07T06:38:50.3258360Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/graph.py::Node.name:0
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2025-09-07T06:38:50.3259800Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_hook:0
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2025-09-07T06:38:50.3261330Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/graph.py::Node.register_prehook:0
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2025-09-07T06:38:50.3267320Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/graph.py::register_multi_grad_hook:0
2025-09-07T06:38:50.3268100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0, line 753 <- wrt source file
2025-09-07T06:38:50.3268890Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/graph.py::allow_mutation_on_saved_tensors:0
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2025-09-07T06:38:50.3285280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/grad_mode.py::set_grad_enabled:0, line 166 <- wrt source file
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2025-09-07T06:38:50.3286780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/grad_mode.py::inference_mode:0, line 246 <- wrt source file
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2025-09-07T06:38:50.3291060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_nvtx:0, line 953 <- wrt source file
2025-09-07T06:38:50.3291790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/profiler.py::emit_nvtx:0
2025-09-07T06:38:50.3292540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0, line 71 <- wrt source file
2025-09-07T06:38:50.3293420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_backward:0
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2025-09-07T06:38:50.3295040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.save_for_forward:0
2025-09-07T06:38:50.3295830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0, line 167 <- wrt source file
2025-09-07T06:38:50.3296600Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_dirty:0
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2025-09-07T06:38:50.3298300Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.mark_non_differentiable:0
2025-09-07T06:38:50.3299140Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/function.py::FunctionCtx.set_materialize_grads:0, line 243 <- wrt source file
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2025-09-07T06:38:50.3300750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/function.py::Function:0, line 485 <- wrt source file
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2025-09-07T06:38:50.3304430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/graph.py::Graph.eliminate_dead_code:0
2025-09-07T06:38:50.3305170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/graph.py::Graph.on_generate_code:0, line 1967 <- wrt source file
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2025-09-07T06:38:50.3306610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/tensor_type.py::TensorType:0, line 12 <- wrt source file
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2025-09-07T06:38:50.3316180Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/rewriter.py::AST_Rewriter.visit_AnnAssign:0
2025-09-07T06:38:50.3316990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/core.py::reify:0, line 58 <- wrt source file
2025-09-07T06:38:50.3317760Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/core.py::reify:0
2025-09-07T06:38:50.3318580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0, line 37 <- wrt source file
2025-09-07T06:38:50.3319480Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge:0
2025-09-07T06:38:50.3320380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0, line 64 <- wrt source file
2025-09-07T06:38:50.3321250Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::merge_with:0
2025-09-07T06:38:50.3322110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0, line 90 <- wrt source file
2025-09-07T06:38:50.3322970Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valmap:0
2025-09-07T06:38:50.3323830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0, line 106 <- wrt source file
2025-09-07T06:38:50.3324680Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keymap:0
2025-09-07T06:38:50.3325590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0, line 122 <- wrt source file
2025-09-07T06:38:50.3326460Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemmap:0
2025-09-07T06:38:50.3327390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0, line 138 <- wrt source file
2025-09-07T06:38:50.3328260Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::valfilter:0
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2025-09-07T06:38:50.3330000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::keyfilter:0
2025-09-07T06:38:50.3330910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0, line 178 <- wrt source file
2025-09-07T06:38:50.3331790Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::itemfilter:0
2025-09-07T06:38:50.3332650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0, line 204 <- wrt source file
2025-09-07T06:38:50.3333500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::assoc:0
2025-09-07T06:38:50.3334360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0, line 221 <- wrt source file
2025-09-07T06:38:50.3335200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::dissoc:0
2025-09-07T06:38:50.3336060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0, line 416 <- wrt source file
2025-09-07T06:38:50.3336930Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py::first:0
2025-09-07T06:38:50.3337780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/variable.py::variables:0, line 67 <- wrt source file
2025-09-07T06:38:50.3338630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/variable.py::variables:0
2025-09-07T06:38:50.3339440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::unifiable:0, line 11 <- wrt source file
2025-09-07T06:38:50.3340250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::unifiable:0
2025-09-07T06:38:50.3341050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::reify_object:0, line 37 <- wrt source file
2025-09-07T06:38:50.3341850Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::reify_object:0
2025-09-07T06:38:50.3342650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::unify_object:0, line 93 <- wrt source file
2025-09-07T06:38:50.3343460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/more.py::unify_object:0
2025-09-07T06:38:50.3344300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0, line 15 <- wrt source file
2025-09-07T06:38:50.3345210Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::transitive_get:0
2025-09-07T06:38:50.3346020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0, line 42 <- wrt source file
2025-09-07T06:38:50.3346820Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::_toposort:0
2025-09-07T06:38:50.3347630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0, line 70 <- wrt source file
2025-09-07T06:38:50.3348490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::reverse_dict:0
2025-09-07T06:38:50.3349300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::freeze:0, line 95 <- wrt source file
2025-09-07T06:38:50.3350130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/utils.py::freeze:0
2025-09-07T06:38:50.3350930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0, line 48 <- wrt source file
2025-09-07T06:38:50.3351760Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/match.py::VarDispatcher:0
2025-09-07T06:38:50.3352660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher:0, line 113 <- wrt source file
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2025-09-07T06:38:50.3356620Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.add:0, line 191 <- wrt source file
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2025-09-07T06:38:50.3358570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0, line 304 <- wrt source file
2025-09-07T06:38:50.3359580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::Dispatcher.dispatch:0
2025-09-07T06:38:50.3360560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0, line 434 <- wrt source file
2025-09-07T06:38:50.3361530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/dispatcher.py::str_signature:0
2025-09-07T06:38:50.3362510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::isvariadic:0, line 47 <- wrt source file
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2025-09-07T06:38:50.3364380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/variadic.py::Variadic:0, line 83 <- wrt source file
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2025-09-07T06:38:50.3366370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0, line 20 <- wrt source file
2025-09-07T06:38:50.3367270Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/core.py::dispatch:0
2025-09-07T06:38:50.3368310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0, line 18 <- wrt source file
2025-09-07T06:38:50.3369240Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::expand_tuples:0
2025-09-07T06:38:50.3370160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0, line 41 <- wrt source file
2025-09-07T06:38:50.3371100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::_toposort:0
2025-09-07T06:38:50.3372220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0, line 68 <- wrt source file
2025-09-07T06:38:50.3373170Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::reverse_dict:0
2025-09-07T06:38:50.3374150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0, line 87 <- wrt source file
2025-09-07T06:38:50.3375060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::groupby:0
2025-09-07T06:38:50.3375960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0, line 117 <- wrt source file
2025-09-07T06:38:50.3376870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/multipledispatch/utils.py::typename:0
2025-09-07T06:38:50.3377670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0, line 99 <- wrt source file
2025-09-07T06:38:50.3378390Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/passes/shape_prop.py::ShapeProp:0
2025-09-07T06:38:50.3379120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/passes/split_module.py::split_module:0, line 89 <- wrt source file
2025-09-07T06:38:50.3379900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/passes/split_module.py::split_module:0
2025-09-07T06:38:50.3380700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0, line 129 <- wrt source file
2025-09-07T06:38:50.3381520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/passes/graph_drawer.py::FxGraphDrawer.get_dot_graph:0
2025-09-07T06:38:50.3382440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0, line 51 <- wrt source file
2025-09-07T06:38:50.3383430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/passes/utils/matcher_with_name_node_map_utils.py::SubgraphMatcherWithNameNodeMap:0
2025-09-07T06:38:50.3384290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/gds.py::gds_register_buffer:0, line 42 <- wrt source file
2025-09-07T06:38:50.3385000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/gds.py::gds_register_buffer:0
2025-09-07T06:38:50.3385700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0, line 58 <- wrt source file
2025-09-07T06:38:50.3386410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/gds.py::gds_deregister_buffer:0
2025-09-07T06:38:50.3387090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/gds.py::GdsFile:0, line 85 <- wrt source file
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2025-09-07T06:38:50.3388430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0, line 114 <- wrt source file
2025-09-07T06:38:50.3389190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:0
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2025-09-07T06:38:50.3390630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:1
2025-09-07T06:38:50.6029170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2, line 140 <- wrt source file
2025-09-07T06:38:50.6029960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_jit_fn:2
2025-09-07T06:38:50.6035720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0, line 173 <- wrt source file
2025-09-07T06:38:50.6036540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/jiterator.py::_create_multi_output_jit_fn:0
2025-09-07T06:38:50.6037300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0, line 75 <- wrt source file
2025-09-07T06:38:50.6038000Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/profiler.py::profile:0
2025-09-07T06:38:50.6038690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0, line 1530 <- wrt source file
2025-09-07T06:38:50.6039600Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/masked/_ops.py::logaddexp:0
2025-09-07T06:38:50.6040330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0, line 25 <- wrt source file
2025-09-07T06:38:50.6041110Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/masked/maskedtensor/core.py::is_masked_tensor:0
2025-09-07T06:38:50.6041860Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0, line 283 <- wrt source file
2025-09-07T06:38:50.6042560Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LambdaLR:0
2025-09-07T06:38:50.6043340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0, line 391 <- wrt source file
2025-09-07T06:38:50.6044090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiplicativeLR:0
2025-09-07T06:38:50.6044820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0, line 494 <- wrt source file
2025-09-07T06:38:50.6045520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::StepLR:0
2025-09-07T06:38:50.6046220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0, line 550 <- wrt source file
2025-09-07T06:38:50.6046940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::MultiStepLR:0
2025-09-07T06:38:50.6047650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0, line 611 <- wrt source file
2025-09-07T06:38:50.6048360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ConstantLR:0
2025-09-07T06:38:50.6049120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0, line 686 <- wrt source file
2025-09-07T06:38:50.6049880Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::LinearLR:0
2025-09-07T06:38:50.6050600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0, line 776 <- wrt source file
2025-09-07T06:38:50.6051330Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ExponentialLR:0
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2025-09-07T06:38:50.6052800Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::PolynomialLR:0
2025-09-07T06:38:50.6053540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0, line 1065 <- wrt source file
2025-09-07T06:38:50.6054300Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingLR:0
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2025-09-07T06:38:50.6055870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::ChainedScheduler:0
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2025-09-07T06:38:50.6057520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:0
2025-09-07T06:38:50.6058370Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1, line 1822 <- wrt source file
2025-09-07T06:38:50.6059250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py::CosineAnnealingWarmRestarts.step:1
2025-09-07T06:38:50.6060150Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/swa_utils.py::update_bn:0, line 337 <- wrt source file
2025-09-07T06:38:50.6060870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/swa_utils.py::update_bn:0
2025-09-07T06:38:50.6061640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0, line 3473 <- wrt source file
2025-09-07T06:38:50.6062440Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_inductor/select_algorithm.py::add_preprocessing_fn:0
2025-09-07T06:38:50.6063220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_inductor/codecache.py::WritableTempFile:0, line 374 <- wrt source file
2025-09-07T06:38:50.6063970Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_inductor/codecache.py::WritableTempFile:0
2025-09-07T06:38:50.6064760Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0, line 1721 <- wrt source file
2025-09-07T06:38:50.6065660Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_inductor/cpp_builder.py::get_name_and_dir_from_output_file_path:0
2025-09-07T06:38:50.6066560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0, line 54 <- wrt source file
2025-09-07T06:38:50.6067460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_inductor/template_heuristics/registry.py::register_template_heuristic:0
2025-09-07T06:38:50.6068270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_pytree.py::register_dataclass:0, line 303 <- wrt source file
2025-09-07T06:38:50.6068990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_pytree.py::register_dataclass:0
2025-09-07T06:38:50.6069710Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_pytree.py::register_constant:0, line 419 <- wrt source file
2025-09-07T06:38:50.6070430Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_pytree.py::register_constant:0
2025-09-07T06:38:50.6071130Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_is_leaf:0, line 1026 <- wrt source file
2025-09-07T06:38:50.6071860Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_is_leaf:0
2025-09-07T06:38:50.6072700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0, line 1345 <- wrt source file
2025-09-07T06:38:50.6073390Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_pytree.py::tree_map:0
2025-09-07T06:38:50.6074120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0, line 555 <- wrt source file
2025-09-07T06:38:50.6074880Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/checkpoint.py::checkpoint_sequential:0
2025-09-07T06:38:50.6075650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0, line 757 <- wrt source file
2025-09-07T06:38:50.6076470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/checkpoint.py::set_checkpoint_early_stop:0
2025-09-07T06:38:50.6077280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0, line 69 <- wrt source file
2025-09-07T06:38:50.6078120Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/backend_registration.py::rename_privateuse1_backend:0
2025-09-07T06:38:50.6079020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0, line 375 <- wrt source file
2025-09-07T06:38:50.6079930Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/backend_registration.py::generate_methods_for_privateuse1_backend:0
2025-09-07T06:38:50.6080800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0, line 410 <- wrt source file
2025-09-07T06:38:50.6081640Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/backend_registration.py::_get_custom_mod_func:0
2025-09-07T06:38:50.6082440Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0, line 93 <- wrt source file
2025-09-07T06:38:50.6083230Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/dlpack.py::from_dlpack:0
2025-09-07T06:38:50.6083940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0, line 277 <- wrt source file
2025-09-07T06:38:50.6084650Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_is_leaf:0
2025-09-07T06:38:50.6085360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0, line 320 <- wrt source file
2025-09-07T06:38:50.6086070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_flatten:0
2025-09-07T06:38:50.6086790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0, line 357 <- wrt source file
2025-09-07T06:38:50.6087510Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_unflatten:0
2025-09-07T06:38:50.6088210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0, line 387 <- wrt source file
2025-09-07T06:38:50.6088910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_iter:0
2025-09-07T06:38:50.6089640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0, line 422 <- wrt source file
2025-09-07T06:38:50.6090350Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_leaves:0
2025-09-07T06:38:50.6091060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0, line 457 <- wrt source file
2025-09-07T06:38:50.6091780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_structure:0
2025-09-07T06:38:50.6092490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0, line 494 <- wrt source file
2025-09-07T06:38:50.6093200Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::tree_map:0
2025-09-07T06:38:50.6093920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0, line 893 <- wrt source file
2025-09-07T06:38:50.6094760Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py::broadcast_prefix:0
2025-09-07T06:38:50.6095540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0, line 724 <- wrt source file
2025-09-07T06:38:50.6096380Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_sympy/functions.py::MinMaxBase._collapse_arguments:0
2025-09-07T06:38:50.6097200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0, line 439 <- wrt source file
2025-09-07T06:38:50.6097990Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::find_closure_group:0
2025-09-07T06:38:50.6098880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0, line 535 <- wrt source file
2025-09-07T06:38:50.6099730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/hipify/hipify_python.py::replace_extern_shared:0
2025-09-07T06:38:50.6100550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0, line 216 <- wrt source file
2025-09-07T06:38:50.6101370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.__init__:0
2025-09-07T06:38:50.6102200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0, line 314 <- wrt source file
2025-09-07T06:38:50.6103030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_hparams:0
2025-09-07T06:38:50.6103870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0, line 362 <- wrt source file
2025-09-07T06:38:50.6104690Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalar:0
2025-09-07T06:38:50.6105530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0, line 394 <- wrt source file
2025-09-07T06:38:50.6106380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_scalars:0
2025-09-07T06:38:50.6107210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0, line 441 <- wrt source file
2025-09-07T06:38:50.6108040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_tensor:0
2025-09-07T06:38:50.6108880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0, line 480 <- wrt source file
2025-09-07T06:38:50.6109750Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram:0
2025-09-07T06:38:50.6110610Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0, line 533 <- wrt source file
2025-09-07T06:38:50.6111470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_histogram_raw:0
2025-09-07T06:38:50.6112310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0, line 599 <- wrt source file
2025-09-07T06:38:50.6113140Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_image:0
2025-09-07T06:38:50.6113970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0, line 648 <- wrt source file
2025-09-07T06:38:50.6114790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_images:0
2025-09-07T06:38:50.6115640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0, line 811 <- wrt source file
2025-09-07T06:38:50.6116480Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_text:0
2025-09-07T06:38:50.6117320Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0, line 878 <- wrt source file
2025-09-07T06:38:50.6118170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_embedding:0
2025-09-07T06:38:50.6119010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0, line 989 <- wrt source file
2025-09-07T06:38:50.6119850Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_pr_curve:0
2025-09-07T06:38:50.6120740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0, line 1063 <- wrt source file
2025-09-07T06:38:50.6121700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_multilinechart:0
2025-09-07T06:38:50.6122640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0, line 1084 <- wrt source file
2025-09-07T06:38:50.6123580Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars_marginchart:0
2025-09-07T06:38:50.6124490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0, line 1108 <- wrt source file
2025-09-07T06:38:50.6125370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_custom_scalars:0
2025-09-07T06:38:50.6126220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0, line 1154 <- wrt source file
2025-09-07T06:38:50.6127060Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/tensorboard/writer.py::SummaryWriter.add_mesh:0
2025-09-07T06:38:50.6127850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0, line 94 <- wrt source file
2025-09-07T06:38:50.6128620Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/dataset.py::IterableDataset:0
2025-09-07T06:38:50.6129360Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0, line 219 <- wrt source file
2025-09-07T06:38:50.6130090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/dataset.py::StackDataset:0
2025-09-07T06:38:50.6130820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0, line 441 <- wrt source file
2025-09-07T06:38:50.6131540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/dataset.py::random_split:0
2025-09-07T06:38:50.6132290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0, line 40 <- wrt source file
2025-09-07T06:38:50.6132990Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/sampler.py::Sampler:0
2025-09-07T06:38:50.6133750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0, line 39 <- wrt source file
2025-09-07T06:38:50.6134530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_convert:0
2025-09-07T06:38:50.6135280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::collate:0, line 137 <- wrt source file
2025-09-07T06:38:50.6136020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::collate:0
2025-09-07T06:38:50.6136770Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0, line 364 <- wrt source file
2025-09-07T06:38:50.6137540Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/_utils/collate.py::default_collate:0
2025-09-07T06:38:50.6138340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0, line 268 <- wrt source file
2025-09-07T06:38:50.6139130Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py::MapDataPipe:0
2025-09-07T06:38:50.6140010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0, line 53 <- wrt source file
2025-09-07T06:38:50.6140890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::MapperIterDataPipe:0
2025-09-07T06:38:50.6141750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0, line 201 <- wrt source file
2025-09-07T06:38:50.6142630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/callable.py::CollatorIterDataPipe:0
2025-09-07T06:38:50.6143530Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0, line 53 <- wrt source file
2025-09-07T06:38:50.6144400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::BatcherIterDataPipe:0
2025-09-07T06:38:50.6145280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0, line 113 <- wrt source file
2025-09-07T06:38:50.6146210Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py::UnBatcherIterDataPipe:0
2025-09-07T06:38:50.6147080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0, line 37 <- wrt source file
2025-09-07T06:38:50.6147960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/selecting.py::FilterIterDataPipe:0
2025-09-07T06:38:50.6148830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0, line 38 <- wrt source file
2025-09-07T06:38:50.6149730Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ConcaterIterDataPipe:0
2025-09-07T06:38:50.6150660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0, line 88 <- wrt source file
2025-09-07T06:38:50.6151710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::ForkerIterDataPipe:0
2025-09-07T06:38:50.6152570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0, line 304 <- wrt source file
2025-09-07T06:38:50.6153410Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py::_ChildDataPipe:0
2025-09-07T06:38:50.6574200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0, line 30 <- wrt source file
2025-09-07T06:38:50.6575180Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/filelister.py::FileListerIterDataPipe:0
2025-09-07T06:38:50.6576110Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0, line 29 <- wrt source file
2025-09-07T06:38:50.6577040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/utils.py::IterableWrapperIterDataPipe:0
2025-09-07T06:38:50.6578120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0, line 90 <- wrt source file
2025-09-07T06:38:50.6579030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combinatorics.py::ShufflerIterDataPipe:0
2025-09-07T06:38:50.6579940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0, line 25 <- wrt source file
2025-09-07T06:38:50.6580870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/streamreader.py::StreamReaderIterDataPipe:0
2025-09-07T06:38:50.6581790Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0, line 47 <- wrt source file
2025-09-07T06:38:50.6582620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/decoder.py::basichandlers:0
2025-09-07T06:38:50.6583590Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0, line 37 <- wrt source file
2025-09-07T06:38:50.6584460Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/utils/common.py::validate_input_col:0
2025-09-07T06:38:50.6585300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0, line 35 <- wrt source file
2025-09-07T06:38:50.6586160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/map/callable.py::MapperMapDataPipe:0
2025-09-07T06:38:50.6587010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0, line 29 <- wrt source file
2025-09-07T06:38:50.6587960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/map/grouping.py::BatcherMapDataPipe:0
2025-09-07T06:38:50.6588910Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0, line 29 <- wrt source file
2025-09-07T06:38:50.6589810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ConcaterMapDataPipe:0
2025-09-07T06:38:50.6590670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0, line 73 <- wrt source file
2025-09-07T06:38:50.6591530Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combining.py::ZipperMapDataPipe:0
2025-09-07T06:38:50.6592400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0, line 29 <- wrt source file
2025-09-07T06:38:50.6593280Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/map/utils.py::SequenceWrapperMapDataPipe:0
2025-09-07T06:38:50.6594170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0, line 34 <- wrt source file
2025-09-07T06:38:50.6595190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/map/combinatorics.py::ShufflerIterDataPipe:0
2025-09-07T06:38:50.6596000Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_creation.py::make_tensor:0, line 114 <- wrt source file
2025-09-07T06:38:50.6596710Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_creation.py::make_tensor:0
2025-09-07T06:38:50.6597450Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::parametrize:0, line 615 <- wrt source file
2025-09-07T06:38:50.6598240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::parametrize:0
2025-09-07T06:38:50.6599050Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0, line 736 <- wrt source file
2025-09-07T06:38:50.6599850Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::reparametrize:0
2025-09-07T06:38:50.6600630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0, line 825 <- wrt source file
2025-09-07T06:38:50.6601400Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::decorateIf:0
2025-09-07T06:38:50.6602220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0, line 4734 <- wrt source file
2025-09-07T06:38:50.6603080Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_symmetric_psd_matrix:0
2025-09-07T06:38:50.6603930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0, line 4748 <- wrt source file
2025-09-07T06:38:50.6604820Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_psd_matrix:0
2025-09-07T06:38:50.6605690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0, line 4778 <- wrt source file
2025-09-07T06:38:50.6606550Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_utils.py::random_hermitian_pd_matrix:0
2025-09-07T06:38:50.6607380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0, line 194 <- wrt source file
2025-09-07T06:38:50.6608170Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::logs_to_string:0
2025-09-07T06:38:50.6608990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0, line 220 <- wrt source file
2025-09-07T06:38:50.6609840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/logging_utils.py::multiple_logs_to_string:0
2025-09-07T06:38:50.6610730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0, line 331 <- wrt source file
2025-09-07T06:38:50.6611680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/distributed/_tensor/common_dtensor.py::skip_unless_torch_gpu:0
2025-09-07T06:38:50.6612700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0, line 29 <- wrt source file
2025-09-07T06:38:50.6613690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/optests/autograd_registration.py::autograd_registration_check:0
2025-09-07T06:38:50.6614560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/infer_schema.py::infer_schema:0, line 51 <- wrt source file
2025-09-07T06:38:50.6615330Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/infer_schema.py::infer_schema:0
2025-09-07T06:38:50.6616100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0, line 98 <- wrt source file
2025-09-07T06:38:50.6616810Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py::custom_op:0
2025-09-07T06:38:50.6617570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0, line 238 <- wrt source file
2025-09-07T06:38:50.6618380Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.set_kernel_enabled:0
2025-09-07T06:38:50.6619190Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0, line 307 <- wrt source file
2025-09-07T06:38:50.6619990Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_kernel:0
2025-09-07T06:38:50.6620800Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0, line 541 <- wrt source file
2025-09-07T06:38:50.6621670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autograd:0
2025-09-07T06:38:50.6622490Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0, line 709 <- wrt source file
2025-09-07T06:38:50.6623280Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_vmap:0
2025-09-07T06:38:50.6624080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0, line 795 <- wrt source file
2025-09-07T06:38:50.6624890Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py::CustomOpDef.register_autocast:0
2025-09-07T06:38:50.6625700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0, line 175 <- wrt source file
2025-09-07T06:38:50.6626490Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/fake_impl.py::FakeImplCtx.new_dynamic_size:0
2025-09-07T06:38:50.6627290Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0, line 230 <- wrt source file
2025-09-07T06:38:50.6628090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/fake_class_registry.py::register_fake_class:0
2025-09-07T06:38:50.6628890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0, line 64 <- wrt source file
2025-09-07T06:38:50.6629610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/amp/grad_scaler.py::GradScaler:0
2025-09-07T06:38:50.6630380Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0, line 36 <- wrt source file
2025-09-07T06:38:50.6631210Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/jit/_check.py::AttributeTypeIsSupportedChecker:0
2025-09-07T06:38:50.6632020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0, line 22 <- wrt source file
2025-09-07T06:38:50.6632870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_load_for_lite_interpreter:0
2025-09-07T06:38:50.6633660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0, line 122 <- wrt source file
2025-09-07T06:38:50.6634450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_mobile_model_contained_types:0
2025-09-07T06:38:50.6635220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0, line 214 <- wrt source file
2025-09-07T06:38:50.6635960Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/jit/mobile/__init__.py::_get_model_ops_and_info:0
2025-09-07T06:38:50.6636700Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0, line 349 <- wrt source file
2025-09-07T06:38:50.6637430Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_dynamo/decorators.py::substitute_in_graph:0
2025-09-07T06:38:50.6638220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0, line 322 <- wrt source file
2025-09-07T06:38:50.6639300Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_dynamo/variables/base.py::VariableTracker.python_type:0
2025-09-07T06:38:50.6640090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0, line 211 <- wrt source file
2025-09-07T06:38:50.6640840Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv1d:0
2025-09-07T06:38:50.6641580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0, line 283 <- wrt source file
2025-09-07T06:38:50.6642300Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv2d:0
2025-09-07T06:38:50.6643020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0, line 359 <- wrt source file
2025-09-07T06:38:50.6643740Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/functional.py::conv3d:0
2025-09-07T06:38:50.6644470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0, line 95 <- wrt source file
2025-09-07T06:38:50.6645240Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::Quantize:0
2025-09-07T06:38:50.6646080Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0, line 145 <- wrt source file
2025-09-07T06:38:50.6646870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/__init__.py::DeQuantize:0
2025-09-07T06:38:50.6647680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0, line 30 <- wrt source file
2025-09-07T06:38:50.6648470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/linear.py::Linear:0
2025-09-07T06:38:50.6649300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0, line 43 <- wrt source file
2025-09-07T06:38:50.6650070Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv1d:0
2025-09-07T06:38:50.6650850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0, line 124 <- wrt source file
2025-09-07T06:38:50.6651610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv2d:0
2025-09-07T06:38:50.6652390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0, line 209 <- wrt source file
2025-09-07T06:38:50.6653250Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::Conv3d:0
2025-09-07T06:38:50.6654070Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0, line 296 <- wrt source file
2025-09-07T06:38:50.6655020Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose1d:0
2025-09-07T06:38:50.6655870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0, line 378 <- wrt source file
2025-09-07T06:38:50.6656700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose2d:0
2025-09-07T06:38:50.6657520Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0, line 460 <- wrt source file
2025-09-07T06:38:50.6658370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/conv.py::ConvTranspose3d:0
2025-09-07T06:38:50.6659200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0, line 515 <- wrt source file
2025-09-07T06:38:50.6665100Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTM:0
2025-09-07T06:38:50.6665870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0, line 801 <- wrt source file
2025-09-07T06:38:50.6666630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRU:0
2025-09-07T06:38:50.6667460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0, line 1206 <- wrt source file
2025-09-07T06:38:50.6668240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::RNNCell:0
2025-09-07T06:38:50.6669020Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0, line 1273 <- wrt source file
2025-09-07T06:38:50.6669800Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::LSTMCell:0
2025-09-07T06:38:50.6670580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0, line 1326 <- wrt source file
2025-09-07T06:38:50.6671370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/dynamic/modules/rnn.py::GRUCell:0
2025-09-07T06:38:50.6672200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0, line 23 <- wrt source file
2025-09-07T06:38:50.6673110Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::FloatFunctional:0
2025-09-07T06:38:50.6674040Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0, line 176 <- wrt source file
2025-09-07T06:38:50.6674870Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/functional_modules.py::QFunctional:0
2025-09-07T06:38:50.6675660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0, line 138 <- wrt source file
2025-09-07T06:38:50.6676420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/linear.py::Linear:0
2025-09-07T06:38:50.6677170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0, line 36 <- wrt source file
2025-09-07T06:38:50.6678000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/activation.py::ReLU6:0
2025-09-07T06:38:50.6678740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0, line 505 <- wrt source file
2025-09-07T06:38:50.6679570Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv2d:0
2025-09-07T06:38:50.6680330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0, line 635 <- wrt source file
2025-09-07T06:38:50.6681090Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::Conv3d:0
2025-09-07T06:38:50.6681830Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0, line 892 <- wrt source file
2025-09-07T06:38:50.6682610Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose1d:0
2025-09-07T06:38:50.6683390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0, line 1014 <- wrt source file
2025-09-07T06:38:50.6684190Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose2d:0
2025-09-07T06:38:50.6684970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0, line 1140 <- wrt source file
2025-09-07T06:38:50.6685740Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py::ConvTranspose3d:0
2025-09-07T06:38:50.6686580Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0, line 111 <- wrt source file
2025-09-07T06:38:50.6687430Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::Embedding:0
2025-09-07T06:38:50.6688260Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0, line 275 <- wrt source file
2025-09-07T06:38:50.6689090Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/embedding_ops.py::EmbeddingBag:0
2025-09-07T06:38:50.6689880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0, line 30 <- wrt source file
2025-09-07T06:38:50.6690620Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTMCell:0
2025-09-07T06:38:50.6691350Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0, line 413 <- wrt source file
2025-09-07T06:38:50.6692070Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantizable/modules/rnn.py::LSTM:0
2025-09-07T06:38:50.6692840Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0, line 30 <- wrt source file
2025-09-07T06:38:50.6693670Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/intrinsic/qat/modules/linear_relu.py::LinearReLU:0
2025-09-07T06:38:50.6694660Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0, line 24 <- wrt source file
2025-09-07T06:38:50.6695590Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/dynamic/modules/linear_relu.py::LinearReLU:0
2025-09-07T06:38:50.6696470Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0, line 25 <- wrt source file
2025-09-07T06:38:50.6697310Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearReLU:0
2025-09-07T06:38:50.6698180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0, line 67 <- wrt source file
2025-09-07T06:38:50.6699050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearLeakyReLU:0
2025-09-07T06:38:50.6735750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0, line 142 <- wrt source file
2025-09-07T06:38:50.6736810Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/intrinsic/quantized/modules/linear_relu.py::LinearTanh:0
2025-09-07T06:38:50.6737670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0, line 110 <- wrt source file
2025-09-07T06:38:50.6738450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_args:0
2025-09-07T06:38:50.6739250Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0, line 132 <- wrt source file
2025-09-07T06:38:50.6740050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/observer.py::_with_callable_args:0
2025-09-07T06:38:50.6740890Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0, line 176 <- wrt source file
2025-09-07T06:38:50.6741680Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fuse_modules.py::fuse_modules:0
2025-09-07T06:38:50.6742460Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0, line 172 <- wrt source file
2025-09-07T06:38:50.6743220Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/utils.py::get_combined_dict:0
2025-09-07T06:38:50.6743990Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0, line 544 <- wrt source file
2025-09-07T06:38:50.6744770Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_path_of_module:0
2025-09-07T06:38:50.6745540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_signature_locals:0, line 566 <- wrt source file
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2025-09-07T06:38:50.6747170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0, line 580 <- wrt source file
2025-09-07T06:38:50.6748030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_default_kwargs:0
2025-09-07T06:38:50.6748870Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0, line 602 <- wrt source file
2025-09-07T06:38:50.6749630Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_normalize_kwargs:0
2025-09-07T06:38:50.6750400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0, line 729 <- wrt source file
2025-09-07T06:38:50.6751160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/utils.py::_get_num_pos_args:0
2025-09-07T06:38:50.6751960Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0, line 31 <- wrt source file
2025-09-07T06:38:50.6752780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn:0
2025-09-07T06:38:50.6753680Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0, line 76 <- wrt source file
2025-09-07T06:38:50.6754530Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_conv_bn_relu:0
2025-09-07T06:38:50.6755400Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0, line 130 <- wrt source file
2025-09-07T06:38:50.6756240Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_linear_bn:0
2025-09-07T06:38:50.6757090Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0, line 163 <- wrt source file
2025-09-07T06:38:50.6758010Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fuser_method_mappings.py::fuse_convtranspose_bn:0
2025-09-07T06:38:50.6758850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0, line 51 <- wrt source file
2025-09-07T06:38:50.6759640Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_pt2e:0
2025-09-07T06:38:50.6760430Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0, line 130 <- wrt source file
2025-09-07T06:38:50.6761240Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::prepare_qat_pt2e:0
2025-09-07T06:38:50.6762060Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0, line 228 <- wrt source file
2025-09-07T06:38:50.6762880Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_pt2e.py::convert_pt2e:0
2025-09-07T06:38:50.6763650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0, line 218 <- wrt source file
2025-09-07T06:38:50.6764420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::fuse_fx:0
2025-09-07T06:38:50.6765180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0, line 288 <- wrt source file
2025-09-07T06:38:50.6765940Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_fx:0
2025-09-07T06:38:50.6766720Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0, line 427 <- wrt source file
2025-09-07T06:38:50.6767500Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::prepare_qat_fx:0
2025-09-07T06:38:50.6768270Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0, line 608 <- wrt source file
2025-09-07T06:38:50.6769030Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_fx:0
2025-09-07T06:38:50.6769820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0, line 668 <- wrt source file
2025-09-07T06:38:50.6770700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::convert_to_reference_fx:0
2025-09-07T06:38:50.6771560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0, line 720 <- wrt source file
2025-09-07T06:38:50.6772450Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/quantize_fx.py::_convert_to_reference_decomposed_fx:0
2025-09-07T06:38:50.6773340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/backend_config/onednn.py::_fuse_linear_bn_leaky_relu:0, line 85 <- wrt source file
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2025-09-07T06:38:50.6775160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0, line 436 <- wrt source file
2025-09-07T06:38:50.6777360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/pt2e/utils.py::_replace_literals_with_new_placeholders:0
2025-09-07T06:38:50.6778310Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0, line 102 <- wrt source file
2025-09-07T06:38:50.6779220Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_get_reduction_params:0
2025-09-07T06:38:50.6780100Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0, line 148 <- wrt source file
2025-09-07T06:38:50.6781040Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/pt2e/_affine_quantization.py::_register_custom_op:0
2025-09-07T06:38:50.6781920Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0, line 189 <- wrt source file
2025-09-07T06:38:50.6782800Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/pt2e/prepare.py::_get_edge_or_node_to_group_id:0
2025-09-07T06:38:50.6783670Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0, line 47 <- wrt source file
2025-09-07T06:38:50.6784520Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py::BaseSparsifier:0
2025-09-07T06:38:50.6785410Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0, line 55 <- wrt source file
2025-09-07T06:38:50.6786360Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_sparsifier/base_data_sparsifier.py::BaseDataSparsifier:0
2025-09-07T06:38:50.6787230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0, line 24 <- wrt source file
2025-09-07T06:38:50.6788020Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/pruning/scheduler/lambda_scheduler.py::LambdaSL:0
2025-09-07T06:38:50.6788850Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0, line 295 <- wrt source file
2025-09-07T06:38:50.6789700Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/profiler/profiler.py::_KinetoProfile.toggle_collection_dynamic:0
2025-09-07T06:38:50.6790550Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0, line 616 <- wrt source file
2025-09-07T06:38:50.6791260Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/profiler/profiler.py::profile:0
2025-09-07T06:38:50.6792010Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0, line 339 <- wrt source file
2025-09-07T06:38:50.6792900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/sparse/semi_structured.py::to_sparse_semi_structured:0
2025-09-07T06:38:50.6793640Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::Dim:0, line 103 <- wrt source file
2025-09-07T06:38:50.6794320Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::Dim:0
2025-09-07T06:38:50.6795030Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0, line 715 <- wrt source file
2025-09-07T06:38:50.6795790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:0
2025-09-07T06:38:50.6796540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1, line 731 <- wrt source file
2025-09-07T06:38:50.6797370Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::ShapesCollection:1
2025-09-07T06:38:50.6798170Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0, line 815 <- wrt source file
2025-09-07T06:38:50.6798950Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/export/dynamic_shapes.py::AdditionalInputs:0
2025-09-07T06:38:50.6799730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0, line 24 <- wrt source file
2025-09-07T06:38:50.6800550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/inverse_gamma.py::InverseGamma:0
2025-09-07T06:38:50.6801340Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0, line 20 <- wrt source file
2025-09-07T06:38:50.6802190Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/laplace.py::Laplace:0
2025-09-07T06:38:50.6802980Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0, line 42 <- wrt source file
2025-09-07T06:38:50.6803780Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/categorical.py::Categorical:0
2025-09-07T06:38:50.6804570Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0, line 1065 <- wrt source file
2025-09-07T06:38:50.6805380Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/transforms.py::CatTransform:0
2025-09-07T06:38:50.6806230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0, line 1177 <- wrt source file
2025-09-07T06:38:50.6807050Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/transforms.py::StackTransform:0
2025-09-07T06:38:50.6807930Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0, line 1253 <- wrt source file
2025-09-07T06:38:50.6808850Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/transforms.py::CumulativeDistributionTransform:0
2025-09-07T06:38:50.6809750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0, line 42 <- wrt source file
2025-09-07T06:38:50.6810540Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/dirichlet.py::Dirichlet:0
2025-09-07T06:38:50.6811330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0, line 23 <- wrt source file
2025-09-07T06:38:50.6812100Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/log_normal.py::LogNormal:0
2025-09-07T06:38:50.6812880Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0, line 36 <- wrt source file
2025-09-07T06:38:50.6813670Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/geometric.py::Geometric:0
2025-09-07T06:38:50.6814500Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0, line 26 <- wrt source file
2025-09-07T06:38:50.6815390Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/generalized_pareto.py::GeneralizedPareto:0
2025-09-07T06:38:50.6816200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0, line 22 <- wrt source file
2025-09-07T06:38:50.6816980Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/weibull.py::Weibull:0
2025-09-07T06:38:50.6818970Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0, line 22 <- wrt source file
2025-09-07T06:38:50.6819720Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/studentT.py::StudentT:0
2025-09-07T06:38:50.6820540Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0, line 103 <- wrt source file
2025-09-07T06:38:50.6821420Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/multivariate_normal.py::MultivariateNormal:0
2025-09-07T06:38:50.6822210Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0, line 22 <- wrt source file
2025-09-07T06:38:50.6822950Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/normal.py::Normal:0
2025-09-07T06:38:50.6823690Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0, line 25 <- wrt source file
2025-09-07T06:38:50.6824470Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/poisson.py::Poisson:0
2025-09-07T06:38:50.6825200Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0, line 21 <- wrt source file
2025-09-07T06:38:50.6825910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/beta.py::Beta:0
2025-09-07T06:38:50.6826650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0, line 30 <- wrt source file
2025-09-07T06:38:50.6827410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/kumaraswamy.py::Kumaraswamy:0
2025-09-07T06:38:50.6828230Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0, line 24 <- wrt source file
2025-09-07T06:38:50.6828980Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/half_normal.py::HalfNormal:0
2025-09-07T06:38:50.6829730Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0, line 24 <- wrt source file
2025-09-07T06:38:50.6830470Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/half_cauchy.py::HalfCauchy:0
2025-09-07T06:38:50.6831220Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0, line 43 <- wrt source file
2025-09-07T06:38:50.6831980Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/lkj_cholesky.py::LKJCholesky:0
2025-09-07T06:38:50.6832750Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0, line 27 <- wrt source file
2025-09-07T06:38:50.6833550Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/independent.py::Independent:0
2025-09-07T06:38:50.6849820Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0, line 38 <- wrt source file
2025-09-07T06:38:50.6850790Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/multinomial.py::Multinomial:0
2025-09-07T06:38:50.6851630Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0, line 20 <- wrt source file
2025-09-07T06:38:50.6852500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/exponential.py::Exponential:0
2025-09-07T06:38:50.6853300Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0, line 20 <- wrt source file
2025-09-07T06:38:50.6854060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/pareto.py::Pareto:0
2025-09-07T06:38:50.6854810Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0, line 23 <- wrt source file
2025-09-07T06:38:50.6855520Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/cauchy.py::Cauchy:0
2025-09-07T06:38:50.6856240Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0, line 117 <- wrt source file
2025-09-07T06:38:50.6857000Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/von_mises.py::VonMises:0
2025-09-07T06:38:50.6857740Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0, line 23 <- wrt source file
2025-09-07T06:38:50.6858450Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/gumbel.py::Gumbel:0
2025-09-07T06:38:50.6859330Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/utils.py::clamp_probs:0, line 114 <- wrt source file
2025-09-07T06:38:50.6860060Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/utils.py::clamp_probs:0
2025-09-07T06:38:50.6860900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0, line 35 <- wrt source file
2025-09-07T06:38:50.6861910Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/continuous_bernoulli.py::ContinuousBernoulli:0
2025-09-07T06:38:50.6862780Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0, line 21 <- wrt source file
2025-09-07T06:38:50.6863590Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/fishersnedecor.py::FisherSnedecor:0
2025-09-07T06:38:50.6864560Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/constraints.py::is_dependent:0, line 166 <- wrt source file
2025-09-07T06:38:50.6865500Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/constraints.py::is_dependent:0
2025-09-07T06:38:50.6866280Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0, line 187 <- wrt source file
2025-09-07T06:38:50.6867160Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/constraints.py::_DependentProperty:0
2025-09-07T06:38:50.6867940Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0, line 21 <- wrt source file
2025-09-07T06:38:50.6868660Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/uniform.py::Uniform:0
2025-09-07T06:38:50.6869390Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0, line 30 <- wrt source file
2025-09-07T06:38:50.6870130Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/bernoulli.py::Bernoulli:0
2025-09-07T06:38:50.6870900Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0, line 28 <- wrt source file
2025-09-07T06:38:50.6871690Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/logistic_normal.py::LogisticNormal:0
2025-09-07T06:38:50.6872510Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0, line 34 <- wrt source file
2025-09-07T06:38:50.6873340Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/one_hot_categorical.py::OneHotCategorical:0
2025-09-07T06:38:50.6874180Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0, line 39 <- wrt source file
2025-09-07T06:38:50.6874900Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/wishart.py::Wishart:0
2025-09-07T06:38:50.6875600Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0, line 24 <- wrt source file
2025-09-07T06:38:50.6876330Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/gamma.py::Gamma:0
2025-09-07T06:38:50.6877120Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0, line 18 <- wrt source file
2025-09-07T06:38:50.6877880Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/chi2.py::Chi2:0
2025-09-07T06:38:50.6878650Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0, line 31 <- wrt source file
2025-09-07T06:38:50.6879410Z * SUCCESS: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/binomial.py::Binomial:0
2025-09-07T06:38:50.6880160Z * DOCTEST : /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0, line 22 <- wrt source file
2025-09-07T06:38:50.6880870Z * SKIPPED: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/package/glob_group.py::GlobGroup:0
2025-09-07T06:38:50.6881510Z ============
2025-09-07T06:38:50.6881680Z Finished doctests
2025-09-07T06:38:50.6881820Z 338 / 732 passed
2025-09-07T06:38:50.6881970Z 
2025-09-07T06:38:50.6882160Z === Found 146 parse-time warnings ===
2025-09-07T06:38:50.6882430Z --- Parse Warning: 1 / 146 ---
2025-09-07T06:38:50.6883260Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Library.fallback in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py line=375.
2025-09-07T06:38:50.6884170Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:50.6884540Z     Registers the function implementation as the fallback for the given key.
2025-09-07T06:38:50.6884790Z     
2025-09-07T06:38:50.6885010Z             This function only works for a library with global namespace ("_").
2025-09-07T06:38:50.6885250Z     
2025-09-07T06:38:50.6885360Z             Args:
2025-09-07T06:38:50.6885610Z                 fn: function used as fallback for the given dispatch key or :func:`~fallthrough_kernel`
2025-09-07T06:38:50.6885920Z                     to register a fallthrough.
2025-09-07T06:38:50.6886260Z                 dispatch_key: dispatch key that the input function should be registered for. By default, it uses
2025-09-07T06:38:50.6886620Z                               the dispatch key that the library was created with.
2025-09-07T06:38:50.6887010Z                 with_keyset: flag controlling if the current dispatcher call keyset should be passed as the first argument
2025-09-07T06:38:50.6887490Z                              to :attr:`fn` when calling. This should be used to create the appropriate keyset for redispatch calls.
2025-09-07T06:38:50.6887790Z     
2025-09-07T06:38:50.6887900Z             Example::
2025-09-07T06:38:50.6888030Z     
2025-09-07T06:38:50.6888160Z                 >>> my_lib = Library("_", "IMPL")
2025-09-07T06:38:50.6888390Z                 >>> def fallback_kernel(op, *args, **kwargs):
2025-09-07T06:38:50.6888610Z                 >>>     # Handle all autocast ops generically
2025-09-07T06:38:50.6888810Z                 >>>     # ...
2025-09-07T06:38:50.6889000Z                 >>> my_lib.fallback(fallback_kernel, "Autocast")
2025-09-07T06:38:50.6889200Z             
2025-09-07T06:38:50.6889690Z     Original Error: IndentationError('expected an indented block after function definition on line 2', ('<source_block>', 5, 1, 'my_lib.fallback(fallback_kernel, "Autocast")\n', 5, 7))
2025-09-07T06:38:50.6890160Z     
2025-09-07T06:38:50.6890300Z     my_lib.fallback(fallback_kernel, "Autocast")
2025-09-07T06:38:50.6890490Z     ^
2025-09-07T06:38:50.6890600Z       warnings.warn(msg)
2025-09-07T06:38:50.6890740Z     
2025-09-07T06:38:50.6890900Z --- Parse Warning: 2 / 146 ---
2025-09-07T06:38:50.6891670Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py line=948.
2025-09-07T06:38:50.6892540Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:50.6892900Z     Register a FakeTensor implementation ("fake impl") for this operator.
2025-09-07T06:38:50.6893140Z     
2025-09-07T06:38:50.6893310Z         Also sometimes known as a "meta kernel", "abstract impl".
2025-09-07T06:38:50.6893530Z     
2025-09-07T06:38:50.6893730Z         An "FakeTensor implementation" specifies the behavior of this operator on
2025-09-07T06:38:50.6894080Z         Tensors that carry no data ("FakeTensor"). Given some input Tensors with
2025-09-07T06:38:50.6894420Z         certain properties (sizes/strides/storage_offset/device), it specifies
2025-09-07T06:38:50.6894720Z         what the properties of the output Tensors are.
2025-09-07T06:38:50.6894910Z     
2025-09-07T06:38:50.6895110Z         The FakeTensor implementation has the same signature as the operator.
2025-09-07T06:38:50.6895440Z         It is run for both FakeTensors and meta tensors. To write a FakeTensor
2025-09-07T06:38:50.6895760Z         implementation, assume that all Tensor inputs to the operator are
2025-09-07T06:38:50.6896080Z         regular CPU/CUDA/Meta tensors, but they do not have storage, and
2025-09-07T06:38:50.6896400Z         you are trying to return regular CPU/CUDA/Meta tensor(s) as output.
2025-09-07T06:38:50.6896750Z         The FakeTensor implementation must consist of only PyTorch operations
2025-09-07T06:38:50.6897070Z         (and may not directly access the storage or data of any input or
2025-09-07T06:38:50.6897310Z         intermediate Tensors).
2025-09-07T06:38:50.6897460Z     
2025-09-07T06:38:50.6897670Z         This API may be used as a decorator (see examples).
2025-09-07T06:38:50.6897870Z     
2025-09-07T06:38:50.6898020Z         For a detailed guide on custom ops, please see
2025-09-07T06:38:50.6898320Z         https://pytorch.org/tutorials/advanced/custom_ops_landing_page.html
2025-09-07T06:38:50.6898560Z     
2025-09-07T06:38:50.6898670Z         Args:
2025-09-07T06:38:50.6898880Z             op_name: Operator name (along with the overload) or OpOverload object.
2025-09-07T06:38:50.6899150Z             func: Fake tensor implementation.
2025-09-07T06:38:50.6899410Z             lib (Optional[Library]): Library to register the fake tensor to.
2025-09-07T06:38:50.6899710Z             allow_override: Flag controlling if we want to override an
2025-09-07T06:38:50.6900000Z                             existing registered fake impl. This is by default off,
2025-09-07T06:38:50.6900280Z                             and will error you're trying to register a fake impl to
2025-09-07T06:38:50.6900570Z                             an operator that already has a fake impl. This also only
2025-09-07T06:38:50.6900850Z                             applies if the custom operator was not created via
2025-09-07T06:38:50.6901130Z                             torch.library.custom_op, as overriding and existing fake
2025-09-07T06:38:50.6901390Z                             impl is already allowed.
2025-09-07T06:38:50.6901570Z     
2025-09-07T06:38:50.6901670Z         Examples:
2025-09-07T06:38:50.6901810Z             >>> import torch
2025-09-07T06:38:50.6901970Z             >>> import numpy as np
2025-09-07T06:38:50.6902220Z             >>> from torch import Tensor
2025-09-07T06:38:50.6902400Z             >>>
2025-09-07T06:38:50.6902590Z             >>> # Example 1: an operator without data-dependent output shape
2025-09-07T06:38:50.6902900Z             >>> @torch.library.custom_op("mylib::custom_linear", mutates_args=())
2025-09-07T06:38:50.6903230Z             >>> def custom_linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-09-07T06:38:50.6903540Z             >>>     raise NotImplementedError("Implementation goes here")
2025-09-07T06:38:50.6903760Z             >>>
2025-09-07T06:38:50.6903950Z             >>> @torch.library.register_fake("mylib::custom_linear")
2025-09-07T06:38:50.6904170Z             >>> def _(x, weight, bias):
2025-09-07T06:38:50.6904380Z             >>>     assert x.dim() == 2
2025-09-07T06:38:50.6904570Z             >>>     assert weight.dim() == 2
2025-09-07T06:38:50.6904780Z             >>>     assert bias.dim() == 1
2025-09-07T06:38:50.6905000Z             >>>     assert x.shape[1] == weight.shape[1]
2025-09-07T06:38:50.6905240Z             >>>     assert weight.shape[0] == bias.shape[0]
2025-09-07T06:38:50.6905480Z             >>>     assert x.device == weight.device
2025-09-07T06:38:50.6905680Z             >>>
2025-09-07T06:38:50.6905840Z             >>>     return (x @ weight.t()) + bias
2025-09-07T06:38:50.6906030Z             >>>
2025-09-07T06:38:50.6906230Z             >>> with torch._subclasses.fake_tensor.FakeTensorMode():
2025-09-07T06:38:50.6906480Z             >>>     x = torch.randn(2, 3)
2025-09-07T06:38:50.6906680Z             >>>     w = torch.randn(3, 3)
2025-09-07T06:38:50.6906870Z             >>>     b = torch.randn(3)
2025-09-07T06:38:50.6907090Z             >>>     y = torch.ops.mylib.custom_linear(x, w, b)
2025-09-07T06:38:50.6907310Z             >>>
2025-09-07T06:38:50.6907450Z             >>> assert y.shape == (2, 3)
2025-09-07T06:38:50.6907640Z             >>>
2025-09-07T06:38:50.6907840Z             >>> # Example 2: an operator with data-dependent output shape
2025-09-07T06:38:50.6908160Z             >>> @torch.library.custom_op("mylib::custom_nonzero", mutates_args=())
2025-09-07T06:38:50.6908500Z             >>> def custom_nonzero(x: Tensor) -> Tensor:
2025-09-07T06:38:50.6908720Z             >>>     x_np = x.numpy(force=True)
2025-09-07T06:38:50.6908960Z             >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-09-07T06:38:50.6909200Z             >>>     return torch.tensor(res, device=x.device)
2025-09-07T06:38:50.6909430Z             >>>
2025-09-07T06:38:50.6909630Z             >>> @torch.library.register_fake("mylib::custom_nonzero")
2025-09-07T06:38:50.6909860Z             >>> def _(x):
2025-09-07T06:38:50.6910060Z             >>> # Number of nonzero-elements is data-dependent.
2025-09-07T06:38:50.6910320Z             >>> # Since we cannot peek at the data in an fake impl,
2025-09-07T06:38:50.6910590Z             >>> # we use the ctx object to construct a new symint that
2025-09-07T06:38:50.6910840Z             >>> # represents the data-dependent size.
2025-09-07T06:38:50.6911070Z             >>>     ctx = torch.library.get_ctx()
2025-09-07T06:38:50.6911280Z             >>>     nnz = ctx.new_dynamic_size()
2025-09-07T06:38:50.6911480Z             >>>     shape = [nnz, x.dim()]
2025-09-07T06:38:50.6911720Z             >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-09-07T06:38:50.6911950Z             >>>     return result
2025-09-07T06:38:50.6912120Z             >>>
2025-09-07T06:38:50.6912330Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-09-07T06:38:50.6912560Z             >>>
2025-09-07T06:38:50.6912720Z             >>> x = torch.tensor([0, 1, 2, 3, 4, 0])
2025-09-07T06:38:50.6913030Z             >>> trace = make_fx(torch.ops.mylib.custom_nonzero, tracing_mode="symbolic")(x)
2025-09-07T06:38:50.6913320Z             >>> trace.print_readable()
2025-09-07T06:38:50.6913490Z             >>>
2025-09-07T06:38:50.6913700Z             >>> assert torch.allclose(trace(x), torch.ops.mylib.custom_nonzero(x))
2025-09-07T06:38:50.6913970Z     
2025-09-07T06:38:50.6914070Z         
2025-09-07T06:38:50.6914460Z     Original Error: IndentationError('expected an indented block after function definition on line 37', ('<source_block>', 38, 1, '_._ = None\n', 38, 2))
2025-09-07T06:38:50.6914900Z     
2025-09-07T06:38:50.6915020Z     _._ = None
2025-09-07T06:38:50.6915150Z     ^
2025-09-07T06:38:50.6915280Z       warnings.warn(msg)
2025-09-07T06:38:50.6915420Z     
2025-09-07T06:38:50.6915590Z --- Parse Warning: 3 / 146 ---
2025-09-07T06:38:50.6916420Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_autograd in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py line=1083.
2025-09-07T06:38:50.6917410Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.6917720Z     Register a backward formula for this custom op.
2025-09-07T06:38:50.6917910Z     
2025-09-07T06:38:50.6918100Z         In order for an operator to work with autograd, you need to register
2025-09-07T06:38:50.6918340Z         a backward formula:
2025-09-07T06:38:50.6918580Z         1. You must tell us how to compute gradients during the backward pass
2025-09-07T06:38:50.6918840Z         by providing us a "backward" function.
2025-09-07T06:38:50.6919110Z         2. If you need any values from the forward to compute gradients, you can
2025-09-07T06:38:50.6919390Z         use `setup_context` to save values for backward.
2025-09-07T06:38:50.6919590Z     
2025-09-07T06:38:50.6919790Z         ``backward`` runs during the backward pass. It accepts ``(ctx, *grads)``:
2025-09-07T06:38:50.6920110Z         - ``grads`` is one or more gradients. The number of gradients matches
2025-09-07T06:38:50.6920370Z         the number of outputs of the operator.
2025-09-07T06:38:50.6920640Z         The ``ctx`` object is `the same ctx object <context_method_mixins>`_ used by
2025-09-07T06:38:50.6920990Z         :class:`torch.autograd.Function`. The semantics of ``backward_fn`` are the
2025-09-07T06:38:50.6921330Z         same as :meth:`torch.autograd.Function.backward`.
2025-09-07T06:38:50.6921530Z     
2025-09-07T06:38:50.6921730Z         ``setup_context(ctx, inputs, output)`` runs during the forward pass.
2025-09-07T06:38:50.6922070Z         Please save quantities needed for backward onto the ``ctx`` object via
2025-09-07T06:38:50.6922450Z         either :meth:`torch.autograd.function.FunctionCtx.save_for_backward`
2025-09-07T06:38:50.6922810Z         or assigning them as attributes of ``ctx``. If your custom op has
2025-09-07T06:38:50.6923130Z         kwarg-only arguments, we expect the signature of ``setup_context``
2025-09-07T06:38:50.6923450Z         to be ``setup_context(ctx, inputs, keyword_only_inputs, output)``.
2025-09-07T06:38:50.6923680Z     
2025-09-07T06:38:50.6923870Z         Both ``setup_context_fn`` and ``backward_fn`` must be traceable. That is,
2025-09-07T06:38:50.6924210Z         they may not directly access :meth:`torch.Tensor.data_ptr` and they must
2025-09-07T06:38:50.6924560Z         not depend on or mutate global state. If you need a non-traceable backward,
2025-09-07T06:38:50.6924900Z         you can make it a separate custom_op that you call inside ``backward_fn``.
2025-09-07T06:38:50.6925150Z     
2025-09-07T06:38:50.6925340Z         If you need different autograd behavior on different devices, then we
2025-09-07T06:38:50.6925680Z         recommend creating two different custom operators, one for each device
2025-09-07T06:38:50.6926020Z         that needs different behavior, and switching between them at runtime.
2025-09-07T06:38:50.6926250Z     
2025-09-07T06:38:50.6926360Z         Examples:
2025-09-07T06:38:50.6926490Z             >>> import torch
2025-09-07T06:38:50.6926650Z             >>> import numpy as np
2025-09-07T06:38:50.6926830Z             >>> from torch import Tensor
2025-09-07T06:38:50.6927000Z             >>>
2025-09-07T06:38:50.6927250Z             >>> @torch.library.custom_op("mylib::numpy_sin", mutates_args=())
2025-09-07T06:38:50.6927530Z             >>> def numpy_sin(x: Tensor) -> Tensor:
2025-09-07T06:38:50.6927740Z             >>>     x_np = x.cpu().numpy()
2025-09-07T06:38:50.6927930Z             >>>     y_np = np.sin(x_np)
2025-09-07T06:38:50.6928160Z             >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-09-07T06:38:50.6928360Z             >>>
2025-09-07T06:38:50.6928530Z             >>> def setup_context(ctx, inputs, output) -> Tensor:
2025-09-07T06:38:50.6928740Z             >>>     x, = inputs
2025-09-07T06:38:50.6928920Z             >>>     ctx.save_for_backward(x)
2025-09-07T06:38:50.6929090Z             >>>
2025-09-07T06:38:50.6929230Z             >>> def backward(ctx, grad):
2025-09-07T06:38:50.6929450Z             >>>     x, = ctx.saved_tensors
2025-09-07T06:38:50.6929640Z             >>>     return grad * x.cos()
2025-09-07T06:38:50.6929800Z             >>>
2025-09-07T06:38:50.6929950Z             >>> torch.library.register_autograd(
2025-09-07T06:38:50.6930200Z             ...     "mylib::numpy_sin", backward, setup_context=setup_context
2025-09-07T06:38:50.6930430Z             ... )
2025-09-07T06:38:50.6930550Z             >>>
2025-09-07T06:38:50.6930700Z             >>> x = torch.randn(3, requires_grad=True)
2025-09-07T06:38:50.6930900Z             >>> y = numpy_sin(x)
2025-09-07T06:38:50.6931120Z             >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-09-07T06:38:50.6931370Z             >>> assert torch.allclose(grad_x, x.cos())
2025-09-07T06:38:50.6931550Z             >>>
2025-09-07T06:38:50.6931700Z             >>> # Example with a keyword-only arg
2025-09-07T06:38:50.6931960Z             >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-09-07T06:38:50.6932250Z             >>> def numpy_mul(x: Tensor, *, val: float) -> Tensor:
2025-09-07T06:38:50.6932470Z             >>>     x_np = x.cpu().numpy()
2025-09-07T06:38:50.6932650Z             >>>     y_np = x_np * val
2025-09-07T06:38:50.6932870Z             >>>     return torch.from_numpy(y_np).to(device=x.device)
2025-09-07T06:38:50.6933120Z             >>>
2025-09-07T06:38:50.6933340Z             >>> def setup_context(ctx, inputs, keyword_only_inputs, output) -> Tensor:
2025-09-07T06:38:50.6933690Z             >>>     ctx.val = keyword_only_inputs["val"]
2025-09-07T06:38:50.6933910Z             >>>
2025-09-07T06:38:50.6934070Z             >>> def backward(ctx, grad):
2025-09-07T06:38:50.6934310Z             >>>     return grad * ctx.val
2025-09-07T06:38:50.6934510Z             >>>
2025-09-07T06:38:50.6934670Z             >>> torch.library.register_autograd(
2025-09-07T06:38:50.6934930Z             ...     "mylib::numpy_mul", backward, setup_context=setup_context
2025-09-07T06:38:50.6935200Z             ... )
2025-09-07T06:38:50.6935330Z             >>>
2025-09-07T06:38:50.6935510Z             >>> x = torch.randn(3, requires_grad=True)
2025-09-07T06:38:50.6935720Z             >>> y = numpy_mul(x, val=3.14)
2025-09-07T06:38:50.6935970Z             >>> (grad_x,) = torch.autograd.grad(y, x, torch.ones_like(y))
2025-09-07T06:38:50.6936270Z             >>> assert torch.allclose(grad_x, torch.full_like(x, 3.14))
2025-09-07T06:38:50.6936510Z     
2025-09-07T06:38:50.6943070Z         
2025-09-07T06:38:50.6943340Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.6943630Z     
2025-09-07T06:38:50.6943750Z       warnings.warn(msg)
2025-09-07T06:38:50.6943910Z     
2025-09-07T06:38:50.6944110Z --- Parse Warning: 4 / 146 ---
2025-09-07T06:38:50.6944880Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_kernel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py line=1482.
2025-09-07T06:38:50.6945780Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:50.6946300Z     Returns the computed kernel for a given operator and dispatch key.
2025-09-07T06:38:50.6946560Z     
2025-09-07T06:38:50.6946780Z         This function retrieves the kernel that would be executed for a given
2025-09-07T06:38:50.6947130Z         operator and dispatch key combination. The returned SafeKernelFunction
2025-09-07T06:38:50.6947450Z         can be used to call the kernel in a boxed fashion. The intended use
2025-09-07T06:38:50.6947770Z         case for this function is to retrieve the original kernel for a given
2025-09-07T06:38:50.6948100Z         dispatch key and then register another kernel to the same dispatch key
2025-09-07T06:38:50.6948400Z         that calls into the original kernel for certain cases.
2025-09-07T06:38:50.6948660Z     
2025-09-07T06:38:50.6948770Z         Args:
2025-09-07T06:38:50.6948960Z             op: Operator name (along with the overload) or OpOverload object
2025-09-07T06:38:50.6949320Z                 Can be a string (e.g., "aten::add.Tensor"), an OpOverload, or a CustomOpDef.
2025-09-07T06:38:50.6949710Z             dispatch_key (str | torch.DispatchKey): The dispatch key to get the kernel for.
2025-09-07T06:38:50.6950100Z                 Can be a string (e.g., "CPU", "CUDA") or a DispatchKey enum value.
2025-09-07T06:38:50.6950340Z     
2025-09-07T06:38:50.6950470Z         Returns:
2025-09-07T06:38:50.6950720Z             torch._C._SafeKernelFunction: A safe kernel function that can be used to
2025-09-07T06:38:50.6951010Z                 call the kernel.
2025-09-07T06:38:50.6951180Z     
2025-09-07T06:38:50.6951300Z         Raises:
2025-09-07T06:38:50.6951470Z             RuntimeError: If the operator does not exist.
2025-09-07T06:38:50.6951660Z     
2025-09-07T06:38:50.6951770Z         Example:
2025-09-07T06:38:50.6951920Z             >>> # Get the CPU kernel for torch.add
2025-09-07T06:38:50.6952190Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", "CPU")
2025-09-07T06:38:50.6952410Z             >>>
2025-09-07T06:38:50.6952560Z             >>> # You can also use DispatchKey enum
2025-09-07T06:38:50.6952870Z             >>> kernel = torch.library.get_kernel("aten::add.Tensor", torch.DispatchKey.CPU)
2025-09-07T06:38:50.6953160Z             >>>
2025-09-07T06:38:50.6953300Z             >>> # Or use an OpOverload directly
2025-09-07T06:38:50.6953570Z             >>> kernel = torch.library.get_kernel(torch.ops.aten.add.Tensor, "CPU")
2025-09-07T06:38:50.6953820Z             >>>
2025-09-07T06:38:50.6954060Z             >>> # Example: Using get_kernel in a custom op with conditional dispatch
2025-09-07T06:38:50.6954340Z             >>> # Get the original kernel for torch.sin
2025-09-07T06:38:50.6954620Z             >>> original_sin_kernel = torch.library.get_kernel("aten::sin", "CPU")
2025-09-07T06:38:50.6954860Z             >>>
2025-09-07T06:38:50.6955080Z             >>> # If input has negative values, use original sin, otherwise return zeros
2025-09-07T06:38:50.6955370Z             >>> def conditional_sin_impl(dispatch_keys, x):
2025-09-07T06:38:50.6955570Z             >>>     if (x < 0).any():
2025-09-07T06:38:50.6955800Z             >>>         return original_sin_kernel.call_boxed(dispatch_keys, x)
2025-09-07T06:38:50.6956030Z             >>>     else:
2025-09-07T06:38:50.6956200Z             >>>         return torch.zeros_like(x)
2025-09-07T06:38:50.6956380Z             >>>
2025-09-07T06:38:50.6956540Z             >>> lib = torch.library.Library("aten", "IMPL")
2025-09-07T06:38:50.6956850Z             >>> # with_keyset=True so the first argument to the impl is the current DispatchKeySet
2025-09-07T06:38:50.6957190Z             >>> which needs to be the first argument to ``kernel.call_boxed``
2025-09-07T06:38:50.6957500Z             >>> lib.impl("sin", conditional_sin_impl, "CPU", with_keyset=True)
2025-09-07T06:38:50.6957730Z             >>>
2025-09-07T06:38:50.6957870Z             >>> # Test the conditional behavior
2025-09-07T06:38:50.6958080Z             >>> x_positive = torch.tensor([1.0, 2.0])
2025-09-07T06:38:50.6958310Z             >>> x_mixed = torch.tensor([-1.0, 2.0])
2025-09-07T06:38:50.6958520Z             >>> torch.sin(x_positive)
2025-09-07T06:38:50.6958690Z             tensor([0., 0.])
2025-09-07T06:38:50.6958850Z             >>> torch.sin(x_mixed)
2025-09-07T06:38:50.6959020Z             tensor([-0.8415, 0.9093])
2025-09-07T06:38:50.6959180Z         
2025-09-07T06:38:50.6959540Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 23, 7, 'which needs to be the first argument to ``kernel.call_boxed``\n', 23, 12))
2025-09-07T06:38:50.6959920Z     
2025-09-07T06:38:50.6960090Z     which needs to be the first argument to ``kernel.call_boxed``
2025-09-07T06:38:50.6960310Z           ^
2025-09-07T06:38:50.6960430Z       warnings.warn(msg)
2025-09-07T06:38:50.6960590Z     
2025-09-07T06:38:50.6960760Z --- Parse Warning: 5 / 146 ---
2025-09-07T06:38:50.6961520Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=opcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py line=1571.
2025-09-07T06:38:50.6962350Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.6962710Z     Given an operator and some sample arguments, tests if the operator is
2025-09-07T06:38:50.6962960Z         registered correctly.
2025-09-07T06:38:50.6963110Z     
2025-09-07T06:38:50.6963300Z         That is, when you use the torch.library/TORCH_LIBRARY APIs to create a
2025-09-07T06:38:50.6963650Z         custom op, you specified metadata (e.g. mutability info) about the custom op
2025-09-07T06:38:50.6964000Z         and these APIs require that the functions you pass them satisfy certain
2025-09-07T06:38:50.6964340Z         properties (e.g. no data pointer access in the fake/meta/abstract kernel)
2025-09-07T06:38:50.6964630Z         ``opcheck`` tests these metadata and properties.
2025-09-07T06:38:50.6964830Z     
2025-09-07T06:38:50.6964950Z         Concretely, we test the following:
2025-09-07T06:38:50.6965130Z     
2025-09-07T06:38:50.6965340Z         - test_schema: If the schema matches the implementation of
2025-09-07T06:38:50.6965650Z           the operator. For example: if the schema specifies a Tensor is mutated,
2025-09-07T06:38:50.6965980Z           then we check the implementation mutates the Tensor. If the schema
2025-09-07T06:38:50.6966290Z           specifies that we return a new Tensor, then we check that the
2025-09-07T06:38:50.6966630Z           implementation returns a new Tensor (instead of an existing one or
2025-09-07T06:38:50.6966890Z           a view of an existing one).
2025-09-07T06:38:50.6967130Z         - test_autograd_registration: If the operator supports training
2025-09-07T06:38:50.6967440Z           (autograd): we check that its autograd formula is registered via
2025-09-07T06:38:50.6967760Z           torch.library.register_autograd or a manual registration to one
2025-09-07T06:38:50.6968080Z           or more DispatchKey::Autograd keys. Any other DispatchKey-based
2025-09-07T06:38:50.6968350Z           registrations may lead to undefined behavior.
2025-09-07T06:38:50.6968610Z         - test_faketensor: If the operator has a FakeTensor kernel
2025-09-07T06:38:50.6968900Z           (and if it is correct). The FakeTensor kernel is necessary (
2025-09-07T06:38:50.6969210Z           but not sufficient) for the operator to work with PyTorch compilation
2025-09-07T06:38:50.6969540Z           APIs (torch.compile/export/FX). We check that a FakeTensor kernel
2025-09-07T06:38:50.6969850Z           (also sometimes known as a meta kernel) was registered for the
2025-09-07T06:38:50.6970150Z           operator and that it is correct. This test takes the result of
2025-09-07T06:38:50.6970450Z           running the operator on real tensors and the result of running
2025-09-07T06:38:50.6970750Z           the operator on FakeTensors and checks that they have the same
2025-09-07T06:38:50.6971040Z           Tensor metadata (sizes/strides/dtype/device/etc).
2025-09-07T06:38:50.6971330Z         - test_aot_dispatch_dynamic: If the operator has correct behavior
2025-09-07T06:38:50.6971630Z           with PyTorch compilation APIs (torch.compile/export/FX).
2025-09-07T06:38:50.6971930Z           This checks that the outputs (and gradients, if applicable) are the
2025-09-07T06:38:50.6972220Z           same under eager-mode PyTorch and torch.compile.
2025-09-07T06:38:50.6972500Z           This test is a superset of ``test_faketensor`` and is an e2e test;
2025-09-07T06:38:50.6972790Z           other things it tests are that the operator supports
2025-09-07T06:38:50.6973090Z           functionalization and that the backward pass (if it exists) also
2025-09-07T06:38:50.6973380Z           supports FakeTensor and functionalization.
2025-09-07T06:38:50.6973590Z     
2025-09-07T06:38:50.6973770Z         For best results, please call ``opcheck`` multiple times with a
2025-09-07T06:38:50.6974070Z         representative set of inputs. If your operator supports
2025-09-07T06:38:50.6974390Z         autograd, please use ``opcheck`` with inputs with ``requires_grad = True``;
2025-09-07T06:38:50.6974740Z         if your operator supports multiple devices (e.g. CPU and CUDA), please
2025-09-07T06:38:50.6975070Z         use ``opcheck`` with inputs on all supported devices.
2025-09-07T06:38:50.6975290Z     
2025-09-07T06:38:50.6975410Z         Args:
2025-09-07T06:38:50.6975610Z             op: The operator. Must either be a function decorated with
2025-09-07T06:38:50.6975960Z                 :func:`torch.library.custom_op` or an OpOverload/OpOverloadPacket
2025-09-07T06:38:50.6976320Z                 found in torch.ops.* (e.g. torch.ops.aten.sin, torch.ops.mylib.foo)
2025-09-07T06:38:50.6976620Z             args: The args to the operator
2025-09-07T06:38:50.6976840Z             kwargs: The kwargs to the operator
2025-09-07T06:38:50.6977110Z             test_utils: Tests that we should run. Default: all of them.
2025-09-07T06:38:50.6977400Z                 Example: ("test_schema", "test_faketensor")
2025-09-07T06:38:50.6977670Z             raise_exception: If we should raise an exception on the first
2025-09-07T06:38:50.6978020Z                 error. If False, we will return a dict with information
2025-09-07T06:38:50.6978270Z                 on if each test passed or not.
2025-09-07T06:38:50.6978570Z             rtol (Optional[float]): Relative tolerance for floating point comparisons.
2025-09-07T06:38:50.6978900Z                 If specified ``atol`` must also be specified.
2025-09-07T06:38:50.6979180Z                 If omitted, default values based on the ``dtype`` are selected
2025-09-07T06:38:50.6979470Z                 (see the table in :func:`torch.testing.assert_close`).
2025-09-07T06:38:50.6979790Z             atol (Optional[float]): Absolute tolerance for floating point comparisons.
2025-09-07T06:38:50.6980080Z                 If specified ``rtol`` must also be specified.
2025-09-07T06:38:50.6980360Z                 If omitted, default values based on the ``dtype`` are selected
2025-09-07T06:38:50.6980640Z                 (see the table in :func:`torch.testing.assert_close`).
2025-09-07T06:38:50.6980860Z     
2025-09-07T06:38:50.6980960Z         .. warning::
2025-09-07T06:38:50.6981090Z     
2025-09-07T06:38:50.6981280Z             opcheck and :func:`torch.autograd.gradcheck` test different things;
2025-09-07T06:38:50.6981620Z             opcheck tests if your usage of torch.library APIs is correct while
2025-09-07T06:38:50.6981940Z             :func:`torch.autograd.gradcheck` tests if your autograd formula is
2025-09-07T06:38:50.6982270Z             mathematically correct. Use both to test custom ops that support
2025-09-07T06:38:50.6982530Z             gradient computation.
2025-09-07T06:38:50.6982690Z     
2025-09-07T06:38:50.6982790Z         Example:
2025-09-07T06:38:50.6982910Z     
2025-09-07T06:38:50.6983050Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-09-07T06:38:50.6983340Z             >>> @torch.library.custom_op("mylib::numpy_mul", mutates_args=())
2025-09-07T06:38:50.6983630Z             >>> def numpy_mul(x: Tensor, y: float) -> Tensor:
2025-09-07T06:38:50.6983850Z             >>>     x_np = x.numpy(force=True)
2025-09-07T06:38:50.6984040Z             >>>     z_np = x_np * y
2025-09-07T06:38:50.6984250Z             >>>     return torch.from_numpy(z_np).to(x.device)
2025-09-07T06:38:50.6984440Z             >>>
2025-09-07T06:38:50.6984580Z             >>> @numpy_mul.register_fake
2025-09-07T06:38:50.6984760Z             >>> def _(x, y):
2025-09-07T06:38:50.6984930Z             >>>     return torch.empty_like(x)
2025-09-07T06:38:50.6985120Z             >>>
2025-09-07T06:38:50.6985280Z             >>> def setup_context(ctx, inputs, output):
2025-09-07T06:38:50.6985470Z             >>>     y, = inputs
2025-09-07T06:38:50.6985670Z             >>>     ctx.y = y
2025-09-07T06:38:50.6985820Z             >>>
2025-09-07T06:38:50.6985960Z             >>> def backward(ctx, grad):
2025-09-07T06:38:50.6986150Z             >>>     return grad * ctx.y, None
2025-09-07T06:38:50.6986320Z             >>>
2025-09-07T06:38:50.6986530Z             >>> numpy_mul.register_autograd(backward, setup_context=setup_context)
2025-09-07T06:38:50.6986780Z             >>>
2025-09-07T06:38:50.6986910Z             >>> sample_inputs = [
2025-09-07T06:38:50.6987080Z             >>>     (torch.randn(3), 3.14),
2025-09-07T06:38:50.6987290Z             >>>     (torch.randn(2, 3, device='cuda'), 2.718),
2025-09-07T06:38:50.6987540Z             >>>     (torch.randn(1, 10, requires_grad=True), 1.234),
2025-09-07T06:38:50.6987820Z             >>>     (torch.randn(64, 64, device='cuda', requires_grad=True), 90.18),
2025-09-07T06:38:50.6988040Z             >>> ]
2025-09-07T06:38:50.6988170Z             >>>
2025-09-07T06:38:50.6988310Z             >>> for args in sample_inputs:
2025-09-07T06:38:50.6988520Z             >>>     torch.library.opcheck(numpy_mul, args)
2025-09-07T06:38:50.6988710Z     
2025-09-07T06:38:50.6988810Z         
2025-09-07T06:38:50.6989020Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.6989280Z     
2025-09-07T06:38:50.6989420Z       warnings.warn(msg)
2025-09-07T06:38:50.6989560Z     
2025-09-07T06:38:50.6989740Z --- Parse Warning: 6 / 146 ---
2025-09-07T06:38:50.6990570Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Tensor.dim_order in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py line=1493.
2025-09-07T06:38:50.6991420Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.6991680Z     
2025-09-07T06:38:50.6991820Z     dim_order(ambiguity_check=False) -> tuple
2025-09-07T06:38:50.6992000Z     
2025-09-07T06:38:50.6992200Z     Returns the uniquely determined tuple of int describing the dim order or
2025-09-07T06:38:50.6992470Z     physical layout of :attr:`self`.
2025-09-07T06:38:50.6992630Z     
2025-09-07T06:38:50.6992840Z     The dim order represents how dimensions are laid out in memory of dense tensors,
2025-09-07T06:38:50.6993170Z     starting from the outermost to the innermost dimension.
2025-09-07T06:38:50.6993380Z     
2025-09-07T06:38:50.6993560Z     Note that the dim order may not always be uniquely determined.
2025-09-07T06:38:50.6993970Z     If `ambiguity_check` is True, this function raises a RuntimeError when the dim order cannot be uniquely determined;
2025-09-07T06:38:50.6994510Z     If `ambiguity_check` is a list of memory formats, this function raises a RuntimeError when tensor can not be interpreted
2025-09-07T06:38:50.6994960Z     into exactly one of the given memory formats, or it cannot be uniquely determined.
2025-09-07T06:38:50.6995380Z     If `ambiguity_check` is False, it will return one of legal dim order(s) without checking its uniqueness.
2025-09-07T06:38:50.6995710Z     Otherwise, it will raise TypeError.
2025-09-07T06:38:50.6995880Z     
2025-09-07T06:38:50.6996010Z     Args:
2025-09-07T06:38:50.6996280Z         ambiguity_check (bool or List[torch.memory_format]): The check method for ambiguity of dim order.
2025-09-07T06:38:50.6996580Z     
2025-09-07T06:38:50.6996690Z     Examples::
2025-09-07T06:38:50.6996810Z     
2025-09-07T06:38:50.6996940Z         >>> torch.empty((2, 3, 5, 7)).dim_order()
2025-09-07T06:38:50.6997110Z         (0, 1, 2, 3)
2025-09-07T06:38:50.6997300Z         >>> torch.empty((2, 3, 5, 7)).transpose(1, 2).dim_order()
2025-09-07T06:38:50.6997500Z         (0, 2, 1, 3)
2025-09-07T06:38:50.6997720Z         >>> torch.empty((2, 3, 5, 7), memory_format=torch.channels_last).dim_order()
2025-09-07T06:38:50.6997960Z         (0, 2, 3, 1)
2025-09-07T06:38:50.6998120Z         >>> torch.empty((1, 2, 3, 4)).dim_order()
2025-09-07T06:38:50.6998330Z         (0, 1, 2, 3)
2025-09-07T06:38:50.6998460Z         >>> try:
2025-09-07T06:38:50.6998650Z         ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check=True)
2025-09-07T06:38:50.6998880Z         ... except RuntimeError as e:
2025-09-07T06:38:50.6999060Z         ...     print(e)
2025-09-07T06:38:50.6999340Z         The tensor does not have unique dim order, or cannot map to exact one of the given memory formats.
2025-09-07T06:38:50.6999670Z         >>> torch.empty((1, 2, 3, 4)).dim_order(
2025-09-07T06:38:50.6999930Z         ...     ambiguity_check=[torch.contiguous_format, torch.channels_last]
2025-09-07T06:38:50.7000210Z         ... )  # It can be mapped to contiguous format
2025-09-07T06:38:50.7000400Z         (0, 1, 2, 3)
2025-09-07T06:38:50.7000530Z         >>> try:
2025-09-07T06:38:50.7000720Z         ...     torch.empty((1, 2, 3, 4)).dim_order(ambiguity_check="ILLEGAL")
2025-09-07T06:38:50.7000960Z         ... except TypeError as e:
2025-09-07T06:38:50.7001130Z         ...     print(e)
2025-09-07T06:38:50.7001370Z         The ambiguity_check argument must be a bool or a list of memory formats.
2025-09-07T06:38:50.7001610Z     
2025-09-07T06:38:50.7001720Z     .. warning::
2025-09-07T06:38:50.7001920Z         The dim_order tensor API is experimental and subject to change.
2025-09-07T06:38:50.7002210Z     
2025-09-07T06:38:50.7002420Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7002680Z     
2025-09-07T06:38:50.7002790Z       warnings.warn(msg)
2025-09-07T06:38:50.7002930Z     
2025-09-07T06:38:50.7003120Z --- Parse Warning: 7 / 146 ---
2025-09-07T06:38:50.7003930Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/hub.py line=565.
2025-09-07T06:38:50.7004740Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7005000Z     
2025-09-07T06:38:50.7005160Z     Load a model from a github repo or a local directory.
2025-09-07T06:38:50.7005360Z     
2025-09-07T06:38:50.7005560Z     Note: Loading a model is the typical use case, but this can also be used to
2025-09-07T06:38:50.7005900Z     for loading other objects such as tokenizers, loss functions, etc.
2025-09-07T06:38:50.7006130Z     
2025-09-07T06:38:50.7006300Z     If ``source`` is 'github', ``repo_or_dir`` is expected to be
2025-09-07T06:38:50.7006570Z     of the form ``repo_owner/repo_name[:ref]`` with an optional
2025-09-07T06:38:50.7006800Z     ref (a tag or a branch).
2025-09-07T06:38:50.7006950Z     
2025-09-07T06:38:50.7007110Z     If ``source`` is 'local', ``repo_or_dir`` is expected to be a
2025-09-07T06:38:50.7007330Z     path to a local directory.
2025-09-07T06:38:50.7007480Z     
2025-09-07T06:38:50.7007580Z     Args:
2025-09-07T06:38:50.7007730Z         repo_or_dir (str): If ``source`` is 'github',
2025-09-07T06:38:50.7008050Z             this should correspond to a github repo with format ``repo_owner/repo_name[:ref]`` with
2025-09-07T06:38:50.7008510Z             an optional ref (tag or branch), for example 'pytorch/vision:0.10'. If ``ref`` is not specified,
2025-09-07T06:38:50.7008920Z             the default branch is assumed to be ``main`` if it exists, and otherwise ``master``.
2025-09-07T06:38:50.7009270Z             If ``source`` is 'local'  then it should be a path to a local directory.
2025-09-07T06:38:50.7009590Z         model (str): the name of a callable (entrypoint) defined in the
2025-09-07T06:38:50.7009830Z             repo/dir's ``hubconf.py``.
2025-09-07T06:38:50.7010180Z         *args (optional): the corresponding args for callable ``model``.
2025-09-07T06:38:50.7010490Z         source (str, optional): 'github' or 'local'. Specifies how
2025-09-07T06:38:50.7022490Z             ``repo_or_dir`` is to be interpreted. Default is 'github'.
2025-09-07T06:38:50.7022970Z         trust_repo (bool, str or None): ``"check"``, ``True``, ``False`` or ``None``.
2025-09-07T06:38:50.7023330Z             This parameter was introduced in v1.12 and helps ensuring that users
2025-09-07T06:38:50.7023620Z             only run code from repos that they trust.
2025-09-07T06:38:50.7023800Z     
2025-09-07T06:38:50.7023990Z             - If ``False``, a prompt will ask the user whether the repo should
2025-09-07T06:38:50.7024230Z               be trusted.
2025-09-07T06:38:50.7024450Z             - If ``True``, the repo will be added to the trusted list and loaded
2025-09-07T06:38:50.7024710Z               without requiring explicit confirmation.
2025-09-07T06:38:50.7024970Z             - If ``"check"``, the repo will be checked against the list of
2025-09-07T06:38:50.7025280Z               trusted repos in the cache. If it is not present in that list, the
2025-09-07T06:38:50.7025590Z               behaviour will fall back onto the ``trust_repo=False`` option.
2025-09-07T06:38:50.7025890Z             - If ``None``: this will raise a warning, inviting the user to set
2025-09-07T06:38:50.7026180Z               ``trust_repo`` to either ``False``, ``True`` or ``"check"``. This
2025-09-07T06:38:50.7026500Z               is only present for backward compatibility and will be removed in
2025-09-07T06:38:50.7026730Z               v2.0.
2025-09-07T06:38:50.7026910Z     
2025-09-07T06:38:50.7027100Z             Default is ``None`` and will eventually change to ``"check"`` in v2.0.
2025-09-07T06:38:50.7027430Z         force_reload (bool, optional): whether to force a fresh download of
2025-09-07T06:38:50.7027740Z             the github repo unconditionally. Does not have any effect if
2025-09-07T06:38:50.7028040Z             ``source = 'local'``. Default is ``False``.
2025-09-07T06:38:50.7028310Z         verbose (bool, optional): If ``False``, mute messages about hitting
2025-09-07T06:38:50.7028630Z             local caches. Note that the message about first download cannot be
2025-09-07T06:38:50.7028930Z             muted. Does not have any effect if ``source = 'local'``.
2025-09-07T06:38:50.7029160Z             Default is ``True``.
2025-09-07T06:38:50.7029460Z         skip_validation (bool, optional): if ``False``, torchhub will check that the branch or commit
2025-09-07T06:38:50.7029880Z             specified by the ``github`` argument properly belongs to the repo owner. This will make
2025-09-07T06:38:50.7030280Z             requests to the GitHub API; you can specify a non-default GitHub token by setting the
2025-09-07T06:38:50.7030630Z             ``GITHUB_TOKEN`` environment variable. Default is ``False``.
2025-09-07T06:38:50.7030940Z         **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-09-07T06:38:50.7031170Z     
2025-09-07T06:38:50.7031280Z     Returns:
2025-09-07T06:38:50.7031470Z         The output of the ``model`` callable when called with the given
2025-09-07T06:38:50.7031710Z         ``*args`` and ``**kwargs``.
2025-09-07T06:38:50.7031870Z     
2025-09-07T06:38:50.7031970Z     Example:
2025-09-07T06:38:50.7032130Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-09-07T06:38:50.7032330Z         >>> # from a github repo
2025-09-07T06:38:50.7032510Z         >>> repo = "pytorch/vision"
2025-09-07T06:38:50.7032720Z         >>> model = torch.hub.load(
2025-09-07T06:38:50.7032960Z         ...     repo, "resnet50", weights="ResNet50_Weights.IMAGENET1K_V1"
2025-09-07T06:38:50.7033180Z         ... )
2025-09-07T06:38:50.7033310Z         >>> # from a local directory
2025-09-07T06:38:50.7033510Z         >>> path = "/some/local/path/pytorch/vision"
2025-09-07T06:38:50.7033710Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7033980Z         >>> model = torch.hub.load(path, "resnet50", weights="ResNet50_Weights.DEFAULT")
2025-09-07T06:38:50.7034240Z     
2025-09-07T06:38:50.7034450Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7034710Z     
2025-09-07T06:38:50.7034820Z       warnings.warn(msg)
2025-09-07T06:38:50.7035000Z     
2025-09-07T06:38:50.7035240Z --- Parse Warning: 8 / 146 ---
2025-09-07T06:38:50.7036040Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_load_local in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/hub.py line=657.
2025-09-07T06:38:50.7036910Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7037180Z     
2025-09-07T06:38:50.7037350Z     Load a model from a local directory with a ``hubconf.py``.
2025-09-07T06:38:50.7037580Z     
2025-09-07T06:38:50.7037690Z     Args:
2025-09-07T06:38:50.7037900Z         hubconf_dir (str): path to a local directory that contains a
2025-09-07T06:38:50.7038150Z             ``hubconf.py``.
2025-09-07T06:38:50.7038400Z         model (str): name of an entrypoint defined in the directory's
2025-09-07T06:38:50.7038650Z             ``hubconf.py``.
2025-09-07T06:38:50.7038900Z         *args (optional): the corresponding args for callable ``model``.
2025-09-07T06:38:50.7039240Z         **kwargs (optional): the corresponding kwargs for callable ``model``.
2025-09-07T06:38:50.7039480Z     
2025-09-07T06:38:50.7039580Z     Returns:
2025-09-07T06:38:50.7039760Z         a single model with corresponding pretrained weights.
2025-09-07T06:38:50.7040000Z     
2025-09-07T06:38:50.7040110Z     Example:
2025-09-07T06:38:50.7040270Z         >>> # xdoctest: +SKIP("stub local path")
2025-09-07T06:38:50.7040510Z         >>> path = "/some/local/path/pytorch/vision"
2025-09-07T06:38:50.7040730Z         >>> model = _load_local(
2025-09-07T06:38:50.7040890Z         ...     path,
2025-09-07T06:38:50.7041070Z         ...     "resnet50",
2025-09-07T06:38:50.7041270Z         ...     weights="ResNet50_Weights.IMAGENET1K_V1",
2025-09-07T06:38:50.7041480Z         ... )
2025-09-07T06:38:50.7041610Z     
2025-09-07T06:38:50.7041840Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7042130Z     
2025-09-07T06:38:50.7042250Z       warnings.warn(msg)
2025-09-07T06:38:50.7042410Z     
2025-09-07T06:38:50.7042580Z --- Parse Warning: 9 / 146 ---
2025-09-07T06:38:50.7043410Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=download_url_to_file in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/hub.py line=696.
2025-09-07T06:38:50.7044300Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7044620Z     Download object at the given URL to a local path.
2025-09-07T06:38:50.7044830Z     
2025-09-07T06:38:50.7044930Z         Args:
2025-09-07T06:38:50.7045010Z             url (str): URL of the object to download
2025-09-07T06:38:50.7045160Z             dst (str): Full path where object will be saved, e.g. ``/tmp/temporary_file``
2025-09-07T06:38:50.7045370Z             hash_prefix (str, optional): If not None, the SHA256 downloaded file should start with ``hash_prefix``.
2025-09-07T06:38:50.7045420Z                 Default: None
2025-09-07T06:38:50.7045640Z             progress (bool, optional): whether or not to display a progress bar to stderr
2025-09-07T06:38:50.7045690Z                 Default: True
2025-09-07T06:38:50.7045740Z     
2025-09-07T06:38:50.7045780Z         Example:
2025-09-07T06:38:50.7045870Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-09-07T06:38:50.7045930Z             >>> # xdoctest: +REQUIRES(POSIX)
2025-09-07T06:38:50.7046010Z             >>> torch.hub.download_url_to_file(
2025-09-07T06:38:50.7046160Z             ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth",
2025-09-07T06:38:50.7046220Z             ...     "/tmp/temporary_file",
2025-09-07T06:38:50.7046260Z             ... )
2025-09-07T06:38:50.7046300Z     
2025-09-07T06:38:50.7046340Z         
2025-09-07T06:38:50.7046640Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7046690Z     
2025-09-07T06:38:50.7046730Z       warnings.warn(msg)
2025-09-07T06:38:50.7046780Z     
2025-09-07T06:38:50.7046880Z --- Parse Warning: 10 / 146 ---
2025-09-07T06:38:50.7047530Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_state_dict_from_url in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/hub.py line=821.
2025-09-07T06:38:50.7047690Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7047780Z     Loads the Torch serialized object at the given URL.
2025-09-07T06:38:50.7047820Z     
2025-09-07T06:38:50.7047940Z         If downloaded file is a zip file, it will be automatically
2025-09-07T06:38:50.7047980Z         decompressed.
2025-09-07T06:38:50.7048030Z     
2025-09-07T06:38:50.7048160Z         If the object is already present in `model_dir`, it's deserialized and
2025-09-07T06:38:50.7048200Z         returned.
2025-09-07T06:38:50.7048330Z         The default value of ``model_dir`` is ``<hub_dir>/checkpoints`` where
2025-09-07T06:38:50.7048450Z         ``hub_dir`` is the directory returned by :func:`~torch.hub.get_dir`.
2025-09-07T06:38:50.7048530Z     
2025-09-07T06:38:50.7048570Z         Args:
2025-09-07T06:38:50.7048650Z             url (str): URL of the object to download
2025-09-07T06:38:50.7048770Z             model_dir (str, optional): directory in which to save the object
2025-09-07T06:38:50.7049000Z             map_location (optional): a function or a dict specifying how to remap storage locations (see torch.load)
2025-09-07T06:38:50.7049150Z             progress (bool, optional): whether or not to display a progress bar to stderr.
2025-09-07T06:38:50.7049210Z                 Default: True
2025-09-07T06:38:50.7049400Z             check_hash(bool, optional): If True, the filename part of the URL should follow the naming convention
2025-09-07T06:38:50.7049540Z                 ``filename-<sha256>.ext`` where ``<sha256>`` is the first eight or more
2025-09-07T06:38:50.7049680Z                 digits of the SHA256 hash of the contents of the file. The hash is used to
2025-09-07T06:38:50.7049800Z                 ensure unique names and to verify the contents of the file.
2025-09-07T06:38:50.7049850Z                 Default: False
2025-09-07T06:38:50.7050060Z             file_name (str, optional): name for the downloaded file. Filename from ``url`` will be used if not set.
2025-09-07T06:38:50.7050250Z             weights_only(bool, optional): If True, only weights will be loaded and no complex pickled objects.
2025-09-07T06:38:50.7050410Z                 Recommended for untrusted sources. See :func:`~torch.load` for more details.
2025-09-07T06:38:50.7050450Z     
2025-09-07T06:38:50.7050500Z         Example:
2025-09-07T06:38:50.7050580Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_HUB)
2025-09-07T06:38:50.7050670Z             >>> state_dict = torch.hub.load_state_dict_from_url(
2025-09-07T06:38:50.7050810Z             ...     "https://s3.amazonaws.com/pytorch/models/resnet18-5c106cde.pth"
2025-09-07T06:38:50.7050900Z             ... )
2025-09-07T06:38:50.7050950Z     
2025-09-07T06:38:50.7050990Z         
2025-09-07T06:38:50.7051140Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7051180Z     
2025-09-07T06:38:50.7051240Z       warnings.warn(msg)
2025-09-07T06:38:50.7051280Z     
2025-09-07T06:38:50.7051380Z --- Parse Warning: 11 / 146 ---
2025-09-07T06:38:50.7052010Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=meshgrid in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py line=397.
2025-09-07T06:38:50.7052170Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7052350Z     Creates grids of coordinates specified by the 1D inputs in `attr`:tensors.
2025-09-07T06:38:50.7052400Z     
2025-09-07T06:38:50.7052510Z             This is helpful when you want to visualize data over some
2025-09-07T06:38:50.7052610Z             range of inputs. See below for a plotting example.
2025-09-07T06:38:50.7052650Z     
2025-09-07T06:38:50.7052750Z             Given :math:`N` 1D tensors :math:`T_0 \ldots T_{N-1}` as
2025-09-07T06:38:50.7052870Z             inputs with corresponding sizes :math:`S_0 \ldots S_{N-1}`,
2025-09-07T06:38:50.7052990Z             this creates :math:`N` N-dimensional tensors :math:`G_0 \ldots
2025-09-07T06:38:50.7053090Z             G_{N-1}`, each with shape :math:`(S_0, ..., S_{N-1})` where
2025-09-07T06:38:50.7053200Z             the output :math:`G_i` is constructed by expanding :math:`T_i`
2025-09-07T06:38:50.7053260Z             to the result shape.
2025-09-07T06:38:50.7053300Z     
2025-09-07T06:38:50.7053360Z             .. note::
2025-09-07T06:38:50.7053450Z                 0D inputs are treated equivalently to 1D inputs of a
2025-09-07T06:38:50.7053510Z                 single element.
2025-09-07T06:38:50.7053550Z     
2025-09-07T06:38:50.7053600Z             .. warning::
2025-09-07T06:38:50.7053700Z                 `torch.meshgrid(*tensors)` currently has the same behavior
2025-09-07T06:38:50.7053830Z                 as calling `numpy.meshgrid(*arrays, indexing='ij')`.
2025-09-07T06:38:50.7053860Z     
2025-09-07T06:38:50.7053960Z                 In the future `torch.meshgrid` will transition to
2025-09-07T06:38:50.7054030Z                 `indexing='xy'` as the default.
2025-09-07T06:38:50.7054070Z     
2025-09-07T06:38:50.7054210Z                 https://github.com/pytorch/pytorch/issues/50276 tracks
2025-09-07T06:38:50.7054320Z                 this issue with the goal of migrating to NumPy's behavior.
2025-09-07T06:38:50.7054370Z     
2025-09-07T06:38:50.7054410Z             .. seealso::
2025-09-07T06:38:50.7054460Z     
2025-09-07T06:38:50.7054570Z                 :func:`torch.cartesian_prod` has the same effect but it
2025-09-07T06:38:50.7054650Z                 collects the data in a tensor of vectors.
2025-09-07T06:38:50.7054690Z     
2025-09-07T06:38:50.7054740Z             Args:
2025-09-07T06:38:50.7054900Z                 tensors (list of Tensor): list of scalars or 1 dimensional tensors. Scalars will be
2025-09-07T06:38:50.7055010Z                     treated as tensors of size :math:`(1,)` automatically
2025-09-07T06:38:50.7055050Z     
2025-09-07T06:38:50.7055160Z                 indexing: (str, optional): the indexing mode, either "xy"
2025-09-07T06:38:50.7055260Z                     or "ij", defaults to "ij". See warning for future changes.
2025-09-07T06:38:50.7055310Z     
2025-09-07T06:38:50.7055410Z                     If "xy" is selected, the first dimension corresponds
2025-09-07T06:38:50.7055510Z                     to the cardinality of the second input and the second
2025-09-07T06:38:50.7055620Z                     dimension corresponds to the cardinality of the first
2025-09-07T06:38:50.7055670Z                     input.
2025-09-07T06:38:50.7055710Z     
2025-09-07T06:38:50.7055820Z                     If "ij" is selected, the dimensions are in the same
2025-09-07T06:38:50.7055910Z                     order as the cardinality of the inputs.
2025-09-07T06:38:50.7055950Z     
2025-09-07T06:38:50.7056000Z             Returns:
2025-09-07T06:38:50.7056100Z                 seq (sequence of Tensors): If the input has :math:`N`
2025-09-07T06:38:50.7056190Z                 tensors of size :math:`S_0 \ldots S_{N-1}``, then the
2025-09-07T06:38:50.7056310Z                 output will also have :math:`N` tensors, where each tensor
2025-09-07T06:38:50.7056390Z                 is of shape :math:`(S_0, ..., S_{N-1})`.
2025-09-07T06:38:50.7056430Z     
2025-09-07T06:38:50.7056470Z             Example::
2025-09-07T06:38:50.7056520Z     
2025-09-07T06:38:50.7056580Z                 >>> x = torch.tensor([1, 2, 3])
2025-09-07T06:38:50.7056680Z                 >>> y = torch.tensor([4, 5, 6])
2025-09-07T06:38:50.7056720Z     
2025-09-07T06:38:50.7056830Z                 Observe the element-wise pairings across the grid, (1, 4),
2025-09-07T06:38:50.7056910Z                 (1, 5), ..., (3, 6). This is the same thing as the
2025-09-07T06:38:50.7056980Z                 cartesian product.
2025-09-07T06:38:50.7057070Z                 >>> grid_x, grid_y = torch.meshgrid(x, y, indexing='ij')
2025-09-07T06:38:50.7057130Z                 >>> grid_x
2025-09-07T06:38:50.7057180Z                 tensor([[1, 1, 1],
2025-09-07T06:38:50.7057230Z                         [2, 2, 2],
2025-09-07T06:38:50.7057280Z                         [3, 3, 3]])
2025-09-07T06:38:50.7057320Z                 >>> grid_y
2025-09-07T06:38:50.7057380Z                 tensor([[4, 5, 6],
2025-09-07T06:38:50.7057420Z                         [4, 5, 6],
2025-09-07T06:38:50.7057480Z                         [4, 5, 6]])
2025-09-07T06:38:50.7057520Z     
2025-09-07T06:38:50.7057630Z                 This correspondence can be seen when these grids are
2025-09-07T06:38:50.7057680Z                 stacked properly.
2025-09-07T06:38:50.7057810Z                 >>> torch.equal(torch.cat(tuple(torch.dstack([grid_x, grid_y]))),
2025-09-07T06:38:50.7057880Z                 ...             torch.cartesian_prod(x, y))
2025-09-07T06:38:50.7057970Z                 True
2025-09-07T06:38:50.7058010Z     
2025-09-07T06:38:50.7058110Z                 `torch.meshgrid` is commonly used to produce a grid for
2025-09-07T06:38:50.7058160Z                 plotting.
2025-09-07T06:38:50.7058250Z                 >>> # xdoctest: +REQUIRES(module:matplotlib)
2025-09-07T06:38:50.7058340Z                 >>> # xdoctest: +REQUIRES(env:DOCTEST_SHOW)
2025-09-07T06:38:50.7058420Z                 >>> import matplotlib.pyplot as plt
2025-09-07T06:38:50.7058500Z                 >>> xs = torch.linspace(-5, 5, steps=100)
2025-09-07T06:38:50.7058580Z                 >>> ys = torch.linspace(-5, 5, steps=100)
2025-09-07T06:38:50.7058670Z                 >>> x, y = torch.meshgrid(xs, ys, indexing='xy')
2025-09-07T06:38:50.7058740Z                 >>> z = torch.sin(torch.sqrt(x * x + y * y))
2025-09-07T06:38:50.7058820Z                 >>> ax = plt.axes(projection='3d')
2025-09-07T06:38:50.7058920Z                 >>> ax.plot_surface(x.numpy(), y.numpy(), z.numpy())
2025-09-07T06:38:50.7058970Z                 >>> plt.show()
2025-09-07T06:38:50.7059010Z     
2025-09-07T06:38:50.7059090Z             .. image:: ../_static/img/meshgrid.png
2025-09-07T06:38:50.7059140Z                 :width: 512
2025-09-07T06:38:50.7059180Z     
2025-09-07T06:38:50.7059220Z             
2025-09-07T06:38:50.7059380Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7059430Z     
2025-09-07T06:38:50.7059480Z       warnings.warn(msg)
2025-09-07T06:38:50.7059530Z     
2025-09-07T06:38:50.7059630Z --- Parse Warning: 12 / 146 ---
2025-09-07T06:38:50.7060320Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_unique_impl in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/functional.py line=793.
2025-09-07T06:38:50.7060500Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7060740Z     unique(input, sorted=True, return_inverse=False, return_counts=False, dim=None) -> tuple[Tensor, Tensor, Tensor]
2025-09-07T06:38:50.7060780Z     
2025-09-07T06:38:50.7060870Z         Returns the unique elements of the input tensor.
2025-09-07T06:38:50.7060910Z     
2025-09-07T06:38:50.7061110Z         .. note:: This function is different from :func:`torch.unique_consecutive` in the sense that
2025-09-07T06:38:50.7061230Z             this function also eliminates non-consecutive duplicate values.
2025-09-07T06:38:50.7061280Z     
2025-09-07T06:38:50.7061420Z         .. note:: Currently in the CUDA implementation and the CPU implementation,
2025-09-07T06:38:50.7061630Z             `torch.unique` always sort the tensor at the beginning regardless of the `sort` argument.
2025-09-07T06:38:50.7061800Z             Sorting could be slow, so if your input tensor is already sorted, it is recommended to use
2025-09-07T06:38:50.7061920Z             :func:`torch.unique_consecutive` which avoids the sorting.
2025-09-07T06:38:50.7061960Z     
2025-09-07T06:38:50.7062000Z         Args:
2025-09-07T06:38:50.7062080Z             input (Tensor): the input tensor
2025-09-07T06:38:50.7062210Z             sorted (bool): Whether to sort the unique elements in ascending order
2025-09-07T06:38:50.7062290Z                 before returning as output.
2025-09-07T06:38:50.7062420Z             return_inverse (bool): Whether to also return the indices for where
2025-09-07T06:38:50.7062560Z                 elements in the original input ended up in the returned unique list.
2025-09-07T06:38:50.7062700Z             return_counts (bool): Whether to also return the counts for each unique
2025-09-07T06:38:50.7062750Z                 element.
2025-09-07T06:38:50.7062880Z             dim (int, optional): the dimension to operate upon. If ``None``, the
2025-09-07T06:38:50.7063000Z                 unique of the flattened input is returned. Otherwise, each of the
2025-09-07T06:38:50.7063150Z                 tensors indexed by the given dimension is treated as one of the
2025-09-07T06:38:50.7063290Z                 elements to apply the unique operation upon. See examples for more
2025-09-07T06:38:50.7063350Z                 details. Default: ``None``
2025-09-07T06:38:50.7063390Z     
2025-09-07T06:38:50.7063430Z         Returns:
2025-09-07T06:38:50.7063630Z             (Tensor, Tensor (optional), Tensor (optional)): A tensor or a tuple of tensors containing
2025-09-07T06:38:50.7063670Z     
2025-09-07T06:38:50.7063790Z                 - **output** (*Tensor*): the output list of unique scalar elements.
2025-09-07T06:38:50.7063880Z                 - **inverse_indices** (*Tensor*): (optional) if
2025-09-07T06:38:50.7063990Z                   :attr:`return_inverse` is True, there will be an additional
2025-09-07T06:38:50.7064120Z                   returned tensor (same shape as input) representing the indices
2025-09-07T06:38:50.7064230Z                   for where elements in the original input map to in the output;
2025-09-07T06:38:50.7064360Z                   otherwise, this function will only return a single tensor.
2025-09-07T06:38:50.7064430Z                 - **counts** (*Tensor*): (optional) if
2025-09-07T06:38:50.7064540Z                   :attr:`return_counts` is True, there will be an additional
2025-09-07T06:38:50.7064650Z                   returned tensor (same shape as output or output.size(dim),
2025-09-07T06:38:50.7064770Z                   if dim was specified) representing the number of occurrences
2025-09-07T06:38:50.7064840Z                   for each unique value or tensor.
2025-09-07T06:38:50.7064880Z     
2025-09-07T06:38:50.7064930Z         Example::
2025-09-07T06:38:50.7064970Z     
2025-09-07T06:38:50.7065100Z             >>> output = torch.unique(torch.tensor([1, 3, 2, 3], dtype=torch.long))
2025-09-07T06:38:50.7065150Z             >>> output
2025-09-07T06:38:50.7065220Z             tensor([1, 2, 3])
2025-09-07T06:38:50.7065260Z     
2025-09-07T06:38:50.7065350Z             >>> output, inverse_indices = torch.unique(
2025-09-07T06:38:50.7065500Z             ...     torch.tensor([1, 3, 2, 3], dtype=torch.long), sorted=True, return_inverse=True)
2025-09-07T06:38:50.7065550Z             >>> output
2025-09-07T06:38:50.7065600Z             tensor([1, 2, 3])
2025-09-07T06:38:50.7065660Z             >>> inverse_indices
2025-09-07T06:38:50.7065710Z             tensor([0, 2, 1, 2])
2025-09-07T06:38:50.7065750Z     
2025-09-07T06:38:50.7065830Z             >>> output, inverse_indices = torch.unique(
2025-09-07T06:38:50.7065990Z             ...     torch.tensor([[1, 3], [2, 3]], dtype=torch.long), sorted=True, return_inverse=True)
2025-09-07T06:38:50.7066050Z             >>> output
2025-09-07T06:38:50.7066120Z             tensor([1, 2, 3])
2025-09-07T06:38:50.7066170Z             >>> inverse_indices
2025-09-07T06:38:50.7066220Z             tensor([[0, 2],
2025-09-07T06:38:50.7066280Z                     [1, 2]])
2025-09-07T06:38:50.7066320Z     
2025-09-07T06:38:50.7066380Z             >>> a = torch.tensor([
2025-09-07T06:38:50.7066420Z             ...     [
2025-09-07T06:38:50.7066490Z             ...         [1, 1, 0, 0],
2025-09-07T06:38:50.7066540Z             ...         [1, 1, 0, 0],
2025-09-07T06:38:50.7066590Z             ...         [0, 0, 1, 1],
2025-09-07T06:38:50.7066640Z             ...     ],
2025-09-07T06:38:50.7066680Z             ...     [
2025-09-07T06:38:50.7066730Z             ...         [0, 0, 1, 1],
2025-09-07T06:38:50.7066790Z             ...         [0, 0, 1, 1],
2025-09-07T06:38:50.7066840Z             ...         [1, 1, 1, 1],
2025-09-07T06:38:50.7066880Z             ...     ],
2025-09-07T06:38:50.7066930Z             ...     [
2025-09-07T06:38:50.7066990Z             ...         [1, 1, 0, 0],
2025-09-07T06:38:50.7067040Z             ...         [1, 1, 0, 0],
2025-09-07T06:38:50.7067090Z             ...         [0, 0, 1, 1],
2025-09-07T06:38:50.7067140Z             ...     ],
2025-09-07T06:38:50.7067180Z             ... ])
2025-09-07T06:38:50.7067280Z     
2025-09-07T06:38:50.7067420Z             >>> # If we call `torch.unique(a, dim=0)`, each of the tensors `a[idx, :, :]`
2025-09-07T06:38:50.7067560Z             >>> # will be compared. We can see that `a[0, :, :]` and `a[2, :, :]` match
2025-09-07T06:38:50.7067650Z             >>> # each other, so one of them will be removed.
2025-09-07T06:38:50.7067730Z             >>> (a[0, :, :] == a[2, :, :]).all()
2025-09-07T06:38:50.7067780Z             tensor(True)
2025-09-07T06:38:50.7067860Z             >>> a_unique_dim0 = torch.unique(a, dim=0)
2025-09-07T06:38:50.7067920Z             >>> a_unique_dim0
2025-09-07T06:38:50.7067980Z             tensor([[[0, 0, 1, 1],
2025-09-07T06:38:50.7068030Z                      [0, 0, 1, 1],
2025-09-07T06:38:50.7068080Z                      [1, 1, 1, 1]],
2025-09-07T06:38:50.7068130Z                     [[1, 1, 0, 0],
2025-09-07T06:38:50.7068180Z                      [1, 1, 0, 0],
2025-09-07T06:38:50.7068230Z                      [0, 0, 1, 1]]])
2025-09-07T06:38:50.7068270Z     
2025-09-07T06:38:50.7068410Z             >>> # Notice which sub-tensors from `a` match with the sub-tensors from
2025-09-07T06:38:50.7068460Z             >>> # `a_unique_dim0`:
2025-09-07T06:38:50.7068540Z             >>> (a_unique_dim0[0, :, :] == a[1, :, :]).all()
2025-09-07T06:38:50.7068590Z             tensor(True)
2025-09-07T06:38:50.7068670Z             >>> (a_unique_dim0[1, :, :] == a[0, :, :]).all()
2025-09-07T06:38:50.7068720Z             tensor(True)
2025-09-07T06:38:50.7068760Z     
2025-09-07T06:38:50.7068880Z             >>> # For `torch.unique(a, dim=1)`, each of the tensors `a[:, idx, :]` are
2025-09-07T06:38:50.7069000Z             >>> # compared. `a[:, 0, :]` and `a[:, 1, :]` match each other, so one of
2025-09-07T06:38:50.7069060Z             >>> # them will be removed.
2025-09-07T06:38:50.7069120Z             >>> (a[:, 0, :] == a[:, 1, :]).all()
2025-09-07T06:38:50.7069200Z             tensor(True)
2025-09-07T06:38:50.7069270Z             >>> torch.unique(a, dim=1)
2025-09-07T06:38:50.7069320Z             tensor([[[0, 0, 1, 1],
2025-09-07T06:38:50.7069370Z                      [1, 1, 0, 0]],
2025-09-07T06:38:50.7069410Z                     [[1, 1, 1, 1],
2025-09-07T06:38:50.7069470Z                      [0, 0, 1, 1]],
2025-09-07T06:38:50.7069510Z                     [[0, 0, 1, 1],
2025-09-07T06:38:50.7069570Z                      [1, 1, 0, 0]]])
2025-09-07T06:38:50.7069610Z     
2025-09-07T06:38:50.7069740Z             >>> # For `torch.unique(a, dim=2)`, the tensors `a[:, :, idx]` are compared.
2025-09-07T06:38:50.7069840Z             >>> # `a[:, :, 0]` and `a[:, :, 1]` match each other. Also, `a[:, :, 2]` and
2025-09-07T06:38:50.7069980Z             >>> # `a[:, :, 3]` match each other as well. So in this case, two of the
2025-09-07T06:38:50.7070060Z             >>> # sub-tensors will be removed.
2025-09-07T06:38:50.7070120Z             >>> (a[:, :, 0] == a[:, :, 1]).all()
2025-09-07T06:38:50.7070170Z             tensor(True)
2025-09-07T06:38:50.7070230Z             >>> (a[:, :, 2] == a[:, :, 3]).all()
2025-09-07T06:38:50.7070280Z             tensor(True)
2025-09-07T06:38:50.7070330Z             >>> torch.unique(a, dim=2)
2025-09-07T06:38:50.7070390Z             tensor([[[0, 1],
2025-09-07T06:38:50.7070430Z                      [0, 1],
2025-09-07T06:38:50.7070490Z                      [1, 0]],
2025-09-07T06:38:50.7070530Z                     [[1, 0],
2025-09-07T06:38:50.7070580Z                      [1, 0],
2025-09-07T06:38:50.7070630Z                      [1, 1]],
2025-09-07T06:38:50.7070670Z                     [[0, 1],
2025-09-07T06:38:50.7070720Z                      [0, 1],
2025-09-07T06:38:50.7070770Z                      [1, 0]]])
2025-09-07T06:38:50.7070810Z         
2025-09-07T06:38:50.7070960Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7071010Z     
2025-09-07T06:38:50.7071060Z       warnings.warn(msg)
2025-09-07T06:38:50.7071100Z     
2025-09-07T06:38:50.7071200Z --- Parse Warning: 13 / 146 ---
2025-09-07T06:38:50.7071860Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/serialization.py line=1285.
2025-09-07T06:38:50.7072050Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7072250Z     load(f, map_location=None, pickle_module=pickle, *, weights_only=True, mmap=None, **pickle_load_args)
2025-09-07T06:38:50.7072290Z     
2025-09-07T06:38:50.7072400Z         Loads an object saved with :func:`torch.save` from a file.
2025-09-07T06:38:50.7072440Z     
2025-09-07T06:38:50.7072590Z         :func:`torch.load` uses Python's unpickling facilities but treats storages,
2025-09-07T06:38:50.7072720Z         which underlie tensors, specially. They are first deserialized on the
2025-09-07T06:38:50.7072860Z         CPU and are then moved to the device they were saved from. If this fails
2025-09-07T06:38:50.7073000Z         (e.g. because the run time system doesn't have certain devices), an exception
2025-09-07T06:38:50.7073140Z         is raised. However, storages can be dynamically remapped to an alternative
2025-09-07T06:38:50.7073240Z         set of devices using the :attr:`map_location` argument.
2025-09-07T06:38:50.7073280Z     
2025-09-07T06:38:50.7073430Z         If :attr:`map_location` is a callable, it will be called once for each serialized
2025-09-07T06:38:50.7073570Z         storage with two arguments: storage and location. The storage argument
2025-09-07T06:38:50.7073710Z         will be the initial deserialization of the storage, residing on the CPU.
2025-09-07T06:38:50.7073840Z         Each serialized storage has a location tag associated with it which
2025-09-07T06:38:50.7073970Z         identifies the device it was saved from, and this tag is the second
2025-09-07T06:38:50.7074140Z         argument passed to :attr:`map_location`. The builtin location tags are ``'cpu'``
2025-09-07T06:38:50.7074280Z         for CPU tensors and ``'cuda:device_id'`` (e.g. ``'cuda:2'``) for CUDA tensors.
2025-09-07T06:38:50.7074410Z         :attr:`map_location` should return either ``None`` or a storage. If
2025-09-07T06:38:50.7074560Z         :attr:`map_location` returns a storage, it will be used as the final deserialized
2025-09-07T06:38:50.7074710Z         object, already moved to the right device. Otherwise, :func:`torch.load` will
2025-09-07T06:38:50.7074860Z         fall back to the default behavior, as if :attr:`map_location` wasn't specified.
2025-09-07T06:38:50.7074900Z     
2025-09-07T06:38:50.7075040Z         If :attr:`map_location` is a :class:`torch.device` object or a string containing
2025-09-07T06:38:50.7075200Z         a device tag, it indicates the location where all tensors should be loaded.
2025-09-07T06:38:50.7075250Z     
2025-09-07T06:38:50.7075410Z         Otherwise, if :attr:`map_location` is a dict, it will be used to remap location tags
2025-09-07T06:38:50.7075540Z         appearing in the file (keys), to ones that specify where to put the
2025-09-07T06:38:50.7075590Z         storages (values).
2025-09-07T06:38:50.7075630Z     
2025-09-07T06:38:50.7075760Z         User extensions can register their own location tags and tagging and
2025-09-07T06:38:50.7075930Z         deserialization methods using :func:`torch.serialization.register_package`.
2025-09-07T06:38:50.7075970Z     
2025-09-07T06:38:50.7076110Z         See :ref:`layout-control` for more advanced tools to manipulate a checkpoint.
2025-09-07T06:38:50.7076160Z     
2025-09-07T06:38:50.7076200Z         Args:
2025-09-07T06:38:50.7076400Z             f: a file-like object (has to implement :meth:`read`, :meth:`readline`, :meth:`tell`, and :meth:`seek`),
2025-09-07T06:38:50.7076510Z                 or a string or os.PathLike object containing a file name
2025-09-07T06:38:50.7076710Z             map_location: a function, :class:`torch.device`, string or a dict specifying how to remap storage
2025-09-07T06:38:50.7076780Z                 locations
2025-09-07T06:38:50.7076920Z             pickle_module: module used for unpickling metadata and objects (has to
2025-09-07T06:38:50.7077030Z                 match the :attr:`pickle_module` used to serialize file)
2025-09-07T06:38:50.7077160Z             weights_only: Indicates whether unpickler should be restricted to
2025-09-07T06:38:50.7077280Z                 loading only tensors, primitive types, dictionaries
2025-09-07T06:38:50.7077420Z                 and any types added via :func:`torch.serialization.add_safe_globals`.
2025-09-07T06:38:50.7077500Z                 See :ref:`weights-only` for more details.
2025-09-07T06:38:50.7077700Z             mmap: Indicates whether the file should be mapped rather than loading all the storages into memory.
2025-09-07T06:38:50.7081350Z                 Typically, tensor storages in the file will first be moved from disk to CPU memory, after which they
2025-09-07T06:38:50.7081580Z                 are moved to the location that they were tagged with when saving, or specified by ``map_location``. This
2025-09-07T06:38:50.7081780Z                 second step is a no-op if the final location is CPU. When the ``mmap`` flag is set, instead of copying the
2025-09-07T06:38:50.7081980Z                 tensor storages from disk to CPU memory in the first step, ``f`` is mapped, which means tensor storages
2025-09-07T06:38:50.7082070Z                 will be lazily loaded when their data is accessed.
2025-09-07T06:38:50.7082220Z             pickle_load_args: (Python 3 only) optional keyword arguments passed over to
2025-09-07T06:38:50.7082360Z                 :func:`pickle_module.load` and :func:`pickle_module.Unpickler`, e.g.,
2025-09-07T06:38:50.7082420Z                 :attr:`errors=...`.
2025-09-07T06:38:50.7082460Z     
2025-09-07T06:38:50.7082500Z         .. warning::
2025-09-07T06:38:50.7082710Z             :func:`torch.load()` unless `weights_only` parameter is set to `True`,
2025-09-07T06:38:50.7082840Z             uses ``pickle`` module implicitly, which is known to be insecure.
2025-09-07T06:38:50.7083010Z             It is possible to construct malicious pickle data which will execute arbitrary code
2025-09-07T06:38:50.7083150Z             during unpickling. Never load data that could have come from an untrusted
2025-09-07T06:38:50.7083330Z             source in an unsafe mode, or that could have been tampered with. **Only load data you trust**.
2025-09-07T06:38:50.7083380Z     
2025-09-07T06:38:50.7083420Z         .. note::
2025-09-07T06:38:50.7083580Z             When you call :func:`torch.load()` on a file which contains GPU tensors, those tensors
2025-09-07T06:38:50.7083740Z             will be loaded to GPU by default. You can call ``torch.load(.., map_location='cpu')``
2025-09-07T06:38:50.7083930Z             and then :meth:`load_state_dict` to avoid GPU RAM surge when loading a model checkpoint.
2025-09-07T06:38:50.7083970Z     
2025-09-07T06:38:50.7084010Z         .. note::
2025-09-07T06:38:50.7084170Z             By default, we decode byte strings as ``utf-8``.  This is to avoid a common error
2025-09-07T06:38:50.7084300Z             case ``UnicodeDecodeError: 'ascii' codec can't decode byte 0x...``
2025-09-07T06:38:50.7084430Z             when loading files saved by Python 2 in Python 3.  If this default
2025-09-07T06:38:50.7084590Z             is incorrect, you may use an extra :attr:`encoding` keyword argument to specify how
2025-09-07T06:38:50.7084730Z             these objects should be loaded, e.g., :attr:`encoding='latin1'` decodes them
2025-09-07T06:38:50.7084870Z             to strings using ``latin1`` encoding, and :attr:`encoding='bytes'` keeps them
2025-09-07T06:38:50.7085020Z             as byte arrays which can be decoded later with ``byte_array.decode(...)``.
2025-09-07T06:38:50.7085060Z     
2025-09-07T06:38:50.7085100Z         Example:
2025-09-07T06:38:50.7085180Z             >>> # xdoctest: +SKIP("undefined filepaths")
2025-09-07T06:38:50.7085270Z             >>> torch.load("tensors.pt", weights_only=True)
2025-09-07T06:38:50.7085360Z             # Load all tensors onto the CPU
2025-09-07T06:38:50.7085410Z             >>> torch.load(
2025-09-07T06:38:50.7085470Z             ...     "tensors.pt",
2025-09-07T06:38:50.7085550Z             ...     map_location=torch.device("cpu"),
2025-09-07T06:38:50.7085600Z             ...     weights_only=True,
2025-09-07T06:38:50.7085650Z             ... )
2025-09-07T06:38:50.7085760Z             # Load all tensors onto the CPU, using a function
2025-09-07T06:38:50.7085810Z             >>> torch.load(
2025-09-07T06:38:50.7085860Z             ...     "tensors.pt",
2025-09-07T06:38:50.7085940Z             ...     map_location=lambda storage, loc: storage,
2025-09-07T06:38:50.7086010Z             ...     weights_only=True,
2025-09-07T06:38:50.7086050Z             ... )
2025-09-07T06:38:50.7086110Z             # Load all tensors onto GPU 1
2025-09-07T06:38:50.7086160Z             >>> torch.load(
2025-09-07T06:38:50.7086210Z             ...     "tensors.pt",
2025-09-07T06:38:50.7086310Z             ...     map_location=lambda storage, loc: storage.cuda(1),
2025-09-07T06:38:50.7086370Z             ...     weights_only=True,
2025-09-07T06:38:50.7086440Z             ... )  # type: ignore[attr-defined]
2025-09-07T06:38:50.7086500Z             # Map tensors from GPU 1 to GPU 0
2025-09-07T06:38:50.7086550Z             >>> torch.load(
2025-09-07T06:38:50.7086600Z             ...     "tensors.pt",
2025-09-07T06:38:50.7086680Z             ...     map_location={"cuda:1": "cuda:0"},
2025-09-07T06:38:50.7086730Z             ...     weights_only=True,
2025-09-07T06:38:50.7086780Z             ... )
2025-09-07T06:38:50.7086850Z             # Load tensor from io.BytesIO object
2025-09-07T06:38:50.7087000Z             # Loading from a buffer setting weights_only=False, warning this can be unsafe
2025-09-07T06:38:50.7087070Z             >>> with open("tensor.pt", "rb") as f:
2025-09-07T06:38:50.7087160Z             ...     buffer = io.BytesIO(f.read())
2025-09-07T06:38:50.7087230Z             >>> torch.load(buffer, weights_only=False)
2025-09-07T06:38:50.7087340Z             # Load a module with 'ascii' encoding for unpickling
2025-09-07T06:38:50.7087480Z             # Loading from a module setting weights_only=False, warning this can be unsafe
2025-09-07T06:38:50.7087600Z             >>> torch.load("module.pt", encoding="ascii", weights_only=False)
2025-09-07T06:38:50.7087640Z         
2025-09-07T06:38:50.7087800Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7087840Z     
2025-09-07T06:38:50.7087890Z       warnings.warn(msg)
2025-09-07T06:38:50.7087930Z     
2025-09-07T06:38:50.7088060Z --- Parse Warning: 14 / 146 ---
2025-09-07T06:38:50.7088740Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.then in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/futures/__init__.py line=101.
2025-09-07T06:38:50.7088890Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7088930Z     
2025-09-07T06:38:50.7089070Z     Append the given callback function to this ``Future``, which will be run
2025-09-07T06:38:50.7089190Z     when the ``Future`` is completed.  Multiple callbacks can be added to
2025-09-07T06:38:50.7089320Z     the same ``Future``, but the order in which they will be executed cannot
2025-09-07T06:38:50.7089430Z     be guaranteed (to enforce a certain order consider chaining:
2025-09-07T06:38:50.7089550Z     ``fut.then(cb1).then(cb2)``). The callback must take one argument, which
2025-09-07T06:38:50.7089680Z     is the reference to this ``Future``. The callback function can use the
2025-09-07T06:38:50.7089810Z     :meth:`value` method to get the value. Note that if this ``Future`` is
2025-09-07T06:38:50.7089940Z     already completed, the given callback will be run immediately inline.
2025-09-07T06:38:50.7089980Z     
2025-09-07T06:38:50.7090120Z     If the ``Future``'s value contains tensors that reside on GPUs, the
2025-09-07T06:38:50.7090250Z     callback might be invoked while the async kernels that are populating
2025-09-07T06:38:50.7090390Z     those tensors haven't yet finished executing on the device. However, the
2025-09-07T06:38:50.7090510Z     callback will be invoked with some dedicated streams set as current
2025-09-07T06:38:50.7090650Z     (fetched from a global pool) which will be synchronized with those
2025-09-07T06:38:50.7090800Z     kernels. Hence any operation performed by the callback on these tensors
2025-09-07T06:38:50.7090920Z     will be scheduled on the device after the kernels complete. In other
2025-09-07T06:38:50.7091040Z     words, as long as the callback doesn't switch streams, it can safely
2025-09-07T06:38:50.7091180Z     manipulate the result without any additional synchronization. This is
2025-09-07T06:38:50.7091270Z     similar to the non-blocking behavior of :meth:`wait`.
2025-09-07T06:38:50.7091310Z     
2025-09-07T06:38:50.7091440Z     Similarly, if the callback returns a value that contains tensors that
2025-09-07T06:38:50.7091560Z     reside on a GPU, it can do so even if the kernels that are producing
2025-09-07T06:38:50.7091690Z     these tensors are still running on the device, as long as the callback
2025-09-07T06:38:50.7091810Z     didn't change streams during its execution. If one wants to change
2025-09-07T06:38:50.7091940Z     streams, one must be careful to re-synchronize them with the original
2025-09-07T06:38:50.7092070Z     streams, that is, those that were current when the callback was invoked.
2025-09-07T06:38:50.7092110Z     
2025-09-07T06:38:50.7092160Z     Args:
2025-09-07T06:38:50.7092280Z         callback(``Callable``): a ``Callable`` that takes this ``Future`` as
2025-09-07T06:38:50.7092350Z                                 the only argument.
2025-09-07T06:38:50.7092390Z     
2025-09-07T06:38:50.7092460Z     Returns:
2025-09-07T06:38:50.7092570Z         A new ``Future`` object that holds the return value of the
2025-09-07T06:38:50.7092680Z         ``callback`` and will be marked as completed when the given
2025-09-07T06:38:50.7092730Z         ``callback`` finishes.
2025-09-07T06:38:50.7092770Z     
2025-09-07T06:38:50.7092880Z     .. note:: Note that if the callback function throws, either
2025-09-07T06:38:50.7093010Z         through the original future being completed with an exception and
2025-09-07T06:38:50.7093130Z         calling ``fut.wait()``, or through other code in the callback, the
2025-09-07T06:38:50.7093260Z         future returned by ``then`` will be marked appropriately with the
2025-09-07T06:38:50.7093390Z         encountered error. However, if this callback later completes
2025-09-07T06:38:50.7093550Z         additional futures, those futures are not marked as completed with
2025-09-07T06:38:50.7093680Z         an error and the user is responsible for handling completion/waiting
2025-09-07T06:38:50.7093750Z         on those futures independently.
2025-09-07T06:38:50.7093790Z     
2025-09-07T06:38:50.7093830Z     Example::
2025-09-07T06:38:50.7093870Z     
2025-09-07T06:38:50.7093960Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-09-07T06:38:50.7094020Z         >>> def callback(fut):
2025-09-07T06:38:50.7094100Z         ...     print(f"RPC return value is {fut.wait()}.")
2025-09-07T06:38:50.7094180Z         >>> fut = torch.futures.Future()
2025-09-07T06:38:50.7094280Z         >>> # The inserted callback will print the return value when
2025-09-07T06:38:50.7094360Z         >>> # receiving the response from "worker1"
2025-09-07T06:38:50.7094410Z         >>> cb_fut = fut.then(callback)
2025-09-07T06:38:50.7094470Z         >>> chain_cb_fut = cb_fut.then(
2025-09-07T06:38:50.7094570Z         ...     lambda x : print(f"Chained cb done. {x.wait()}")
2025-09-07T06:38:50.7094610Z         ... )
2025-09-07T06:38:50.7094660Z         >>> fut.set_result(5)
2025-09-07T06:38:50.7094720Z         RPC return value is 5.
2025-09-07T06:38:50.7094770Z         Chained cb done. None
2025-09-07T06:38:50.7094830Z     
2025-09-07T06:38:50.7094980Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7095030Z     
2025-09-07T06:38:50.7095080Z       warnings.warn(msg)
2025-09-07T06:38:50.7095120Z     
2025-09-07T06:38:50.7095230Z --- Parse Warning: 15 / 146 ---
2025-09-07T06:38:50.7095940Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Future.set_result in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/futures/__init__.py line=211.
2025-09-07T06:38:50.7096110Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7096150Z     
2025-09-07T06:38:50.7096280Z     Set the result for this ``Future``, which will mark this ``Future`` as
2025-09-07T06:38:50.7096410Z     completed and trigger all attached callbacks. Note that a ``Future``
2025-09-07T06:38:50.7096470Z     cannot be marked completed twice.
2025-09-07T06:38:50.7096510Z     
2025-09-07T06:38:50.7096650Z     If the result contains tensors that reside on GPUs, this method can be
2025-09-07T06:38:50.7096770Z     called even if the asynchronous kernels that are populating those
2025-09-07T06:38:50.7096900Z     tensors haven't yet completed running on the device, provided that the
2025-09-07T06:38:50.7097040Z     streams on which those kernels were enqueued are set as the current ones
2025-09-07T06:38:50.7097160Z     when this method is called. Put simply, it's safe to call this method
2025-09-07T06:38:50.7097290Z     immediately after launching those kernels, without any additional
2025-09-07T06:38:50.7097430Z     synchronization, as long as one doesn't change streams in between. This
2025-09-07T06:38:50.7097560Z     method will record events on all the relevant current streams and will
2025-09-07T06:38:50.7097700Z     use them to ensure proper scheduling for all the consumers of this
2025-09-07T06:38:50.7097750Z     ``Future``.
2025-09-07T06:38:50.7097790Z     
2025-09-07T06:38:50.7097830Z     Args:
2025-09-07T06:38:50.7097930Z         result (object): the result object of this ``Future``.
2025-09-07T06:38:50.7097970Z     
2025-09-07T06:38:50.7098020Z     Example::
2025-09-07T06:38:50.7098060Z     
2025-09-07T06:38:50.7098140Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_FUTURES)
2025-09-07T06:38:50.7098200Z         >>> import threading
2025-09-07T06:38:50.7098250Z         >>> import time
2025-09-07T06:38:50.7098320Z         >>> def slow_set_future(fut, value):
2025-09-07T06:38:50.7098370Z         ...     time.sleep(0.5)
2025-09-07T06:38:50.7098450Z         ...     fut.set_result(value)
2025-09-07T06:38:50.7098510Z         >>> fut = torch.futures.Future()
2025-09-07T06:38:50.7098570Z         >>> t = threading.Thread(
2025-09-07T06:38:50.7098630Z         ...     target=slow_set_future,
2025-09-07T06:38:50.7098690Z         ...     args=(fut, torch.ones(2) * 3)
2025-09-07T06:38:50.7098740Z         ... )
2025-09-07T06:38:50.7098780Z         >>> t.start()
2025-09-07T06:38:50.7098840Z         >>> print(fut.wait())
2025-09-07T06:38:50.7098880Z         tensor([3., 3.])
2025-09-07T06:38:50.7098930Z         >>> t.join()
2025-09-07T06:38:50.7098970Z     
2025-09-07T06:38:50.7099120Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7099160Z     
2025-09-07T06:38:50.7099210Z       warnings.warn(msg)
2025-09-07T06:38:50.7099250Z     
2025-09-07T06:38:50.7099350Z --- Parse Warning: 16 / 146 ---
2025-09-07T06:38:50.7099990Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compile_shader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/mps/__init__.py line=145.
2025-09-07T06:38:50.7100150Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7100330Z     Compiles compute shader from source and allows one to invoke kernels
2025-09-07T06:38:50.7100420Z         defined there from the comfort of Python runtime
2025-09-07T06:38:50.7100460Z         Example::
2025-09-07T06:38:50.7100500Z     
2025-09-07T06:38:50.7100580Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_MPS)
2025-09-07T06:38:50.7100670Z             >>> lib = torch.mps.compile_shader(
2025-09-07T06:38:50.7100910Z             ... "kernel void full(device float* out, constant float& val, uint idx [[thread_position_in_grid]]) { out[idx] = val; }"
2025-09-07T06:38:50.7100950Z             ...  )
2025-09-07T06:38:50.7101020Z             >>> x = torch.zeros(16, device="mps")
2025-09-07T06:38:50.7101080Z             >>> lib.full(x, 3.14)
2025-09-07T06:38:50.7101120Z         
2025-09-07T06:38:50.7101270Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7101310Z     
2025-09-07T06:38:50.7101360Z       warnings.warn(msg)
2025-09-07T06:38:50.7101400Z     
2025-09-07T06:38:50.7101500Z --- Parse Warning: 17 / 146 ---
2025-09-07T06:38:50.7102260Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=compute_required_storage_length in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_prims_common/__init__.py line=1877.
2025-09-07T06:38:50.7102420Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7102550Z     Computes the minimum storage size to hold the given tensor geometry.
2025-09-07T06:38:50.7102590Z     
2025-09-07T06:38:50.7102630Z         Example
2025-09-07T06:38:50.7102680Z         =======
2025-09-07T06:38:50.7102710Z     
2025-09-07T06:38:50.7102850Z         This is the size of a newly allocated tensor's storage, in units of elements
2025-09-07T06:38:50.7102940Z     
2025-09-07T06:38:50.7103000Z         >>> t = torch.empty((10, 20))
2025-09-07T06:38:50.7103150Z         >>> compute_required_storage_length(t.shape, t.stride(), t.storage_offset())
2025-09-07T06:38:50.7103180Z         200
2025-09-07T06:38:50.7103230Z     
2025-09-07T06:38:50.7103280Z         >>> # xdoctest: +SKIP(failing)
2025-09-07T06:38:50.7103370Z         >>> t2 = torch.empty_strided((1, 2, 3), (5, 7, 11))
2025-09-07T06:38:50.7103440Z         >>> size = compute_required_storage_length(
2025-09-07T06:38:50.7103530Z         ...     t2.shape, t2.stride(), t2.storage_offset()
2025-09-07T06:38:50.7103570Z         ... )
2025-09-07T06:38:50.7103630Z         >>> size == t.storage().size()
2025-09-07T06:38:50.7103670Z         True
2025-09-07T06:38:50.7103730Z     
2025-09-07T06:38:50.7103850Z         A valid tensor may have a larger storage size, but never smaller
2025-09-07T06:38:50.7103890Z     
2025-09-07T06:38:50.7103950Z         >>> slice = torch.empty(100)[20:40]
2025-09-07T06:38:50.7104010Z         >>> slice.storage().size()
2025-09-07T06:38:50.7104050Z         100
2025-09-07T06:38:50.7104090Z     
2025-09-07T06:38:50.7104160Z         >>> compute_required_storage_length(
2025-09-07T06:38:50.7104260Z         ...     slice.shape, slice.stride(), slice.storage_offset()
2025-09-07T06:38:50.7104300Z         ... )
2025-09-07T06:38:50.7104340Z         40
2025-09-07T06:38:50.7104390Z     
2025-09-07T06:38:50.7104420Z         
2025-09-07T06:38:50.7104580Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7104620Z     
2025-09-07T06:38:50.7104670Z       warnings.warn(msg)
2025-09-07T06:38:50.7104710Z     
2025-09-07T06:38:50.7104810Z --- Parse Warning: 18 / 146 ---
2025-09-07T06:38:50.7105430Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=cudart in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/cuda/__init__.py line=434.
2025-09-07T06:38:50.7105580Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:50.7105670Z     Retrieves the CUDA runtime API module.
2025-09-07T06:38:50.7105710Z     
2025-09-07T06:38:50.7105750Z     
2025-09-07T06:38:50.7105900Z         This function initializes the CUDA runtime environment if it is not already
2025-09-07T06:38:50.7106060Z         initialized and returns the CUDA runtime API module (_cudart). The CUDA
2025-09-07T06:38:50.7106200Z         runtime API module provides access to various CUDA runtime functions.
2025-09-07T06:38:50.7106240Z     
2025-09-07T06:38:50.7106280Z         Args:
2025-09-07T06:38:50.7106330Z             ``None``
2025-09-07T06:38:50.7106370Z     
2025-09-07T06:38:50.7106410Z         Returns:
2025-09-07T06:38:50.7106500Z             module: The CUDA runtime API module (_cudart).
2025-09-07T06:38:50.7106530Z     
2025-09-07T06:38:50.7106580Z         Raises:
2025-09-07T06:38:50.7106720Z             RuntimeError: If CUDA cannot be re-initialized in a forked subprocess.
2025-09-07T06:38:50.7106930Z             AssertionError: If PyTorch is not compiled with CUDA support or if libcudart functions are unavailable.
2025-09-07T06:38:50.7106970Z     
2025-09-07T06:38:50.7107050Z         Example of CUDA operations with profiling:
2025-09-07T06:38:50.7107110Z             >>> import torch
2025-09-07T06:38:50.7107190Z             >>> from torch.cuda import cudart, check_error
2025-09-07T06:38:50.7107240Z             >>> import os
2025-09-07T06:38:50.7107280Z             >>>
2025-09-07T06:38:50.7107350Z             >>> os.environ["CUDA_PROFILE"] = "1"
2025-09-07T06:38:50.7107390Z             >>>
2025-09-07T06:38:50.7107480Z             >>> def perform_cuda_operations_with_streams():
2025-09-07T06:38:50.7107550Z             >>>     stream = torch.cuda.Stream()
2025-09-07T06:38:50.7107620Z             >>>     with torch.cuda.stream(stream):
2025-09-07T06:38:50.7107720Z             >>>         x = torch.randn(100, 100, device='cuda')
2025-09-07T06:38:50.7107800Z             >>>         y = torch.randn(100, 100, device='cuda')
2025-09-07T06:38:50.7107870Z             >>>         z = torch.mul(x, y)
2025-09-07T06:38:50.7107920Z             >>>     return z
2025-09-07T06:38:50.7107960Z             >>>
2025-09-07T06:38:50.7108020Z             >>> torch.cuda.synchronize()
2025-09-07T06:38:50.7108100Z             >>> print("====== Start nsys profiling ======")
2025-09-07T06:38:50.7108190Z             >>> check_error(cudart().cudaProfilerStart())
2025-09-07T06:38:50.7108270Z             >>> with torch.autograd.profiler.emit_nvtx():
2025-09-07T06:38:50.7108360Z             >>>     result = perform_cuda_operations_with_streams()
2025-09-07T06:38:50.7108440Z             >>>     print("CUDA operations completed.")
2025-09-07T06:38:50.7108560Z             >>> check_error(torch.cuda.cudart().cudaProfilerStop())
2025-09-07T06:38:50.7108640Z             >>> print("====== End nsys profiling ======")
2025-09-07T06:38:50.7108680Z     
2025-09-07T06:38:50.7108800Z         To run this example and save the profiling information, execute:
2025-09-07T06:38:50.7109020Z             >>> $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-09-07T06:38:50.7109060Z     
2025-09-07T06:38:50.7109200Z         This command profiles the CUDA operations in the provided script and saves
2025-09-07T06:38:50.7109320Z         the profiling information to a file named `trace_name.prof`.
2025-09-07T06:38:50.7109460Z         The `--profile-from-start off` option ensures that profiling starts only
2025-09-07T06:38:50.7109560Z         after the `cudaProfilerStart` call in the script.
2025-09-07T06:38:50.7109690Z         The `--csv` and `--print-summary` options format the profiling output as a
2025-09-07T06:38:50.7109780Z         CSV file and print a summary, respectively.
2025-09-07T06:38:50.7109920Z         The `-o` option specifies the output file name, and the `-f` option forces the
2025-09-07T06:38:50.7110020Z         overwrite of the output file if it already exists.
2025-09-07T06:38:50.7110080Z         
2025-09-07T06:38:50.7110480Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 1, '$ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py\n', 1, 2))
2025-09-07T06:38:50.7110520Z     
2025-09-07T06:38:50.7110720Z     $ nvprof --profile-from-start off --csv --print-summary -o trace_name.prof -f -- python cudart_test.py
2025-09-07T06:38:50.7110780Z     ^
2025-09-07T06:38:50.7110840Z       warnings.warn(msg)
2025-09-07T06:38:50.7110880Z     
2025-09-07T06:38:50.7110980Z --- Parse Warning: 19 / 146 ---
2025-09-07T06:38:50.7111640Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=is_available in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/accelerator/__init__.py line=66.
2025-09-07T06:38:50.7111790Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:50.7111940Z     Check if the current accelerator is available at runtime: it was build, all the
2025-09-07T06:38:50.7112080Z         required drivers are available and at least one device is visible.
2025-09-07T06:38:50.7112170Z         See :ref:`accelerator<accelerators>` for details.
2025-09-07T06:38:50.7112210Z     
2025-09-07T06:38:50.7112250Z         Returns:
2025-09-07T06:38:50.7112420Z             bool: A boolean indicating if there is an available :ref:`accelerator<accelerators>`.
2025-09-07T06:38:50.7112460Z     
2025-09-07T06:38:50.7112610Z         .. note:: This API delegates to the device-specific version of `is_available`.
2025-09-07T06:38:50.7112770Z             On CUDA, when the environment variable ``PYTORCH_NVML_BASED_CUDA_CHECK=1`` is set,
2025-09-07T06:38:50.7112920Z             this function will NOT poison fork. Otherwise, it will. For more details, see
2025-09-07T06:38:50.7113040Z             :ref:`multiprocessing-poison-fork-note`.
2025-09-07T06:38:50.7113080Z     
2025-09-07T06:38:50.7113130Z         Example::
2025-09-07T06:38:50.7113170Z     
2025-09-07T06:38:50.7113330Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-09-07T06:38:50.7113370Z         
2025-09-07T06:38:50.7113700Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 1, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 1, 78))
2025-09-07T06:38:50.7113740Z     
2025-09-07T06:38:50.7113900Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-09-07T06:38:50.7113960Z                                             ^
2025-09-07T06:38:50.7114040Z       warnings.warn(msg)
2025-09-07T06:38:50.7114100Z     
2025-09-07T06:38:50.7114200Z --- Parse Warning: 20 / 146 ---
2025-09-07T06:38:50.7114860Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=synchronize in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/accelerator/__init__.py line=212.
2025-09-07T06:38:50.7115010Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:50.7115140Z     Wait for all kernels in all streams on the given device to complete.
2025-09-07T06:38:50.7115170Z     
2025-09-07T06:38:50.7115220Z         Args:
2025-09-07T06:38:50.7115410Z             device (:class:`torch.device`, str, int, optional): device for which to synchronize. It must match
2025-09-07T06:38:50.7115550Z                 the current :ref:`accelerator<accelerators>` device type. If not given,
2025-09-07T06:38:50.7115680Z                 use :func:`torch.accelerator.current_device_index` by default.
2025-09-07T06:38:50.7115720Z     
2025-09-07T06:38:50.7115910Z         .. note:: This function is a no-op if the current :ref:`accelerator<accelerators>` is not initialized.
2025-09-07T06:38:50.7115950Z     
2025-09-07T06:38:50.7115990Z         Example::
2025-09-07T06:38:50.7116050Z     
2025-09-07T06:38:50.7116140Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-09-07T06:38:50.7116300Z             >>> assert torch.accelerator.is_available() "No available accelerators detected."
2025-09-07T06:38:50.7116390Z             >>> start_event = torch.Event(enable_timing=True)
2025-09-07T06:38:50.7116500Z             >>> end_event = torch.Event(enable_timing=True)
2025-09-07T06:38:50.7116560Z             >>> start_event.record()
2025-09-07T06:38:50.7116710Z             >>> tensor = torch.randn(100, device=torch.accelerator.current_accelerator())
2025-09-07T06:38:50.7116770Z             >>> sum = torch.sum(tensor)
2025-09-07T06:38:50.7116820Z             >>> end_event.record()
2025-09-07T06:38:50.7116900Z             >>> torch.accelerator.synchronize()
2025-09-07T06:38:50.7117010Z             >>> elapsed_time_ms = start_event.elapsed_time(end_event)
2025-09-07T06:38:50.7117050Z         
2025-09-07T06:38:50.7117370Z     Original Error: SyntaxError('invalid syntax', ('<source_block>', 2, 41, 'assert torch.accelerator.is_available() "No available accelerators detected."\n', 2, 78))
2025-09-07T06:38:50.7117420Z     
2025-09-07T06:38:50.7117570Z     assert torch.accelerator.is_available() "No available accelerators detected."
2025-09-07T06:38:50.7117630Z                                             ^
2025-09-07T06:38:50.7117680Z       warnings.warn(msg)
2025-09-07T06:38:50.7117720Z     
2025-09-07T06:38:50.7117820Z --- Parse Warning: 21 / 146 ---
2025-09-07T06:38:50.7118440Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=sum in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/sparse/__init__.py line=202.
2025-09-07T06:38:50.7118620Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7118720Z     Return the sum of each row of the given sparse tensor.
2025-09-07T06:38:50.7118760Z     
2025-09-07T06:38:50.7118900Z         Returns the sum of each row of the sparse tensor :attr:`input` in the given
2025-09-07T06:38:50.7119020Z         dimensions :attr:`dim`. If :attr:`dim` is a list of dimensions,
2025-09-07T06:38:50.7119150Z         reduce over all of them. When sum over all ``sparse_dim``, this method
2025-09-07T06:38:50.7119240Z         returns a dense tensor instead of a sparse tensor.
2025-09-07T06:38:50.7119280Z     
2025-09-07T06:38:50.7119440Z         All summed :attr:`dim` are squeezed (see :func:`torch.squeeze`), resulting an output
2025-09-07T06:38:50.7119560Z         tensor having :attr:`dim` fewer dimensions than :attr:`input`.
2025-09-07T06:38:50.7119620Z     
2025-09-07T06:38:50.7119760Z         During backward, only gradients at ``nnz`` locations of :attr:`input`
2025-09-07T06:38:50.7119900Z         will propagate back. Note that the gradients of :attr:`input` is coalesced.
2025-09-07T06:38:50.7119940Z     
2025-09-07T06:38:50.7119980Z         Args:
2025-09-07T06:38:50.7120060Z             input (Tensor): the input sparse tensor
2025-09-07T06:38:50.7120230Z             dim (int or tuple of ints): a dimension or a list of dimensions to reduce. Default: reduce
2025-09-07T06:38:50.7120280Z                 over all dims.
2025-09-07T06:38:50.7120440Z             dtype (:class:`torch.dtype`, optional): the desired data type of returned Tensor.
2025-09-07T06:38:50.7120520Z                 Default: dtype of :attr:`input`.
2025-09-07T06:38:50.7120550Z     
2025-09-07T06:38:50.7120600Z         Example::
2025-09-07T06:38:50.7120640Z     
2025-09-07T06:38:50.7120680Z             >>> nnz = 3
2025-09-07T06:38:50.7120740Z             >>> dims = [5, 5, 2, 3]
2025-09-07T06:38:50.7120840Z             >>> I = torch.cat([torch.randint(0, dims[0], size=(nnz,)),
2025-09-07T06:38:50.7120950Z                                torch.randint(0, dims[1], size=(nnz,))], 0).reshape(2, nnz)
2025-09-07T06:38:50.7121030Z             >>> V = torch.randn(nnz, dims[2], dims[3])
2025-09-07T06:38:50.7121120Z             >>> size = torch.Size(dims)
2025-09-07T06:38:50.7121210Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-09-07T06:38:50.7121280Z             >>> S = torch.sparse_coo_tensor(I, V, size)
2025-09-07T06:38:50.7121330Z             >>> S
2025-09-07T06:38:50.7121390Z             tensor(indices=tensor([[2, 0, 3],
2025-09-07T06:38:50.7121470Z                                    [2, 4, 1]]),
2025-09-07T06:38:50.7121560Z                    values=tensor([[[-0.6438, -1.6467,  1.4004],
2025-09-07T06:38:50.7121630Z                                    [ 0.3411,  0.0918, -0.2312]],
2025-09-07T06:38:50.7121670Z     
2025-09-07T06:38:50.7121740Z                                   [[ 0.5348,  0.0634, -2.0494],
2025-09-07T06:38:50.7121810Z                                    [-0.7125, -1.0646,  2.1844]],
2025-09-07T06:38:50.7121850Z     
2025-09-07T06:38:50.7121920Z                                   [[ 0.1276,  0.1874, -0.6334],
2025-09-07T06:38:50.7121990Z                                    [-1.9682, -0.5340,  0.7483]]]),
2025-09-07T06:38:50.7122090Z                    size=(5, 5, 2, 3), nnz=3, layout=torch.sparse_coo)
2025-09-07T06:38:50.7122130Z     
2025-09-07T06:38:50.7122250Z             # when sum over only part of sparse_dims, return a sparse tensor
2025-09-07T06:38:50.7122310Z             >>> torch.sparse.sum(S, [1, 3])
2025-09-07T06:38:50.7122380Z             tensor(indices=tensor([[0, 2, 3]]),
2025-09-07T06:38:50.7122450Z                    values=tensor([[-1.4512,  0.4073],
2025-09-07T06:38:50.7122520Z                                   [-0.8901,  0.2017],
2025-09-07T06:38:50.7122590Z                                   [-0.3183, -1.7539]]),
2025-09-07T06:38:50.7122670Z                    size=(5, 2), nnz=3, layout=torch.sparse_coo)
2025-09-07T06:38:50.7122720Z     
2025-09-07T06:38:50.7122810Z             # when sum over all sparse dim, return a dense tensor
2025-09-07T06:38:50.7122890Z             # with summed dims squeezed
2025-09-07T06:38:50.7122960Z             >>> torch.sparse.sum(S, [0, 1, 3])
2025-09-07T06:38:50.7123020Z             tensor([-2.6596, -1.1450])
2025-09-07T06:38:50.7123060Z         
2025-09-07T06:38:50.7123210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7123250Z     
2025-09-07T06:38:50.7123300Z       warnings.warn(msg)
2025-09-07T06:38:50.7123340Z     
2025-09-07T06:38:50.7123440Z --- Parse Warning: 22 / 146 ---
2025-09-07T06:38:50.7124100Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=as_sparse_gradcheck in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/sparse/__init__.py line=550.
2025-09-07T06:38:50.7124280Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7124400Z     Decorate function, to extend gradcheck for sparse tensors.
2025-09-07T06:38:50.7124440Z     
2025-09-07T06:38:50.7124570Z         Decorator for torch.autograd.gradcheck or its functools.partial
2025-09-07T06:38:50.7124700Z         variants that extends the gradcheck function with support to input
2025-09-07T06:38:50.7124810Z         functions that operate on or/and return sparse tensors.
2025-09-07T06:38:50.7124850Z     
2025-09-07T06:38:50.7124980Z         The specified gradcheck function itself is guaranteed to operate
2025-09-07T06:38:50.7125030Z         on strided tensors only.
2025-09-07T06:38:50.7125070Z     
2025-09-07T06:38:50.7125120Z         For example:
2025-09-07T06:38:50.7125160Z     
2025-09-07T06:38:50.7125300Z         >>> gradcheck = torch.sparse.as_sparse_gradcheck(torch.autograd.gradcheck)
2025-09-07T06:38:50.7125350Z         >>> x = (
2025-09-07T06:38:50.7125440Z         ...     torch.tensor([[0, 1], [2, 3]], dtype=torch.float64)
2025-09-07T06:38:50.7125500Z         ...     .to_sparse_coo()
2025-09-07T06:38:50.7125560Z         ...     .requires_grad_(True)
2025-09-07T06:38:50.7125620Z         ... )
2025-09-07T06:38:50.7125700Z         >>> gradcheck(lambda x: x.to_sparse_csr(), x)
2025-09-07T06:38:50.7125740Z         True
2025-09-07T06:38:50.7125780Z         
2025-09-07T06:38:50.7125930Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7125970Z     
2025-09-07T06:38:50.7126020Z       warnings.warn(msg)
2025-09-07T06:38:50.7126080Z     
2025-09-07T06:38:50.7126210Z --- Parse Warning: 23 / 146 ---
2025-09-07T06:38:50.7126840Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=vmap in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/apis.py line=39.
2025-09-07T06:38:50.7127000Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7127040Z     
2025-09-07T06:38:50.7127170Z     vmap is the vectorizing map; ``vmap(func)`` returns a new function that
2025-09-07T06:38:50.7127290Z     maps ``func`` over some dimension of the inputs. Semantically, vmap
2025-09-07T06:38:50.7127420Z     pushes the map into PyTorch operations called by ``func``, effectively
2025-09-07T06:38:50.7127490Z     vectorizing those operations.
2025-09-07T06:38:50.7127520Z     
2025-09-07T06:38:50.7127660Z     vmap is useful for handling batch dimensions: one can write a function
2025-09-07T06:38:50.7127780Z     ``func`` that runs on examples and then lift it to a function that can
2025-09-07T06:38:50.7127910Z     take batches of examples with ``vmap(func)``. vmap can also be used to
2025-09-07T06:38:50.7128010Z     compute batched gradients when composed with autograd.
2025-09-07T06:38:50.7128050Z     
2025-09-07T06:38:50.7128090Z     .. note::
2025-09-07T06:38:50.7128200Z         :func:`torch.vmap` is aliased to :func:`torch.func.vmap` for
2025-09-07T06:38:50.7128300Z         convenience. Use whichever one you'd like.
2025-09-07T06:38:50.7128340Z     
2025-09-07T06:38:50.7128390Z     Args:
2025-09-07T06:38:50.7128510Z         func (function): A Python function that takes one or more arguments.
2025-09-07T06:38:50.7128580Z             Must return one or more Tensors.
2025-09-07T06:38:50.7128710Z         in_dims (int or nested structure): Specifies which dimension of the
2025-09-07T06:38:50.7128820Z             inputs should be mapped over. ``in_dims`` should have a
2025-09-07T06:38:50.7128930Z             structure like the inputs. If the ``in_dim`` for a particular
2025-09-07T06:38:50.7129040Z             input is None, then that indicates there is no map dimension.
2025-09-07T06:38:50.7129090Z             Default: 0.
2025-09-07T06:38:50.7129340Z         out_dims (int or Tuple[int]): Specifies where the mapped dimension
2025-09-07T06:38:50.7129460Z             should appear in the outputs. If ``out_dims`` is a Tuple, then
2025-09-07T06:38:50.7129560Z             it should have one element per output. Default: 0.
2025-09-07T06:38:50.7129670Z         randomness (str): Specifies whether the randomness in this
2025-09-07T06:38:50.7129800Z             vmap should be the same or different across batches. If 'different',
2025-09-07T06:38:50.7129920Z             the randomness for each batch will be different. If 'same', the
2025-09-07T06:38:50.7130040Z             randomness will be the same across batches. If 'error', any calls to
2025-09-07T06:38:50.7130170Z             random functions will error. Default: 'error'. WARNING: this flag
2025-09-07T06:38:50.7130290Z             only applies to random PyTorch operations and does not apply to
2025-09-07T06:38:50.7130380Z             Python's random module or numpy randomness.
2025-09-07T06:38:50.7130510Z         chunk_size (None or int): If None (default), apply a single vmap over inputs.
2025-09-07T06:38:50.7130650Z             If not None, then compute the vmap :attr:`chunk_size` samples at a time.
2025-09-07T06:38:50.7130810Z             Note that :attr:`chunk_size=1` is equivalent to computing the vmap with a for-loop.
2025-09-07T06:38:50.7131000Z             If you run into memory issues computing the vmap, please try a non-None chunk_size.
2025-09-07T06:38:50.7131040Z     
2025-09-07T06:38:50.7131080Z     Returns:
2025-09-07T06:38:50.7131200Z         Returns a new "batched" function. It takes the same inputs as
2025-09-07T06:38:50.7131310Z         ``func``, except each input has an extra dimension at the index
2025-09-07T06:38:50.7131440Z         specified by ``in_dims``. It takes returns the same outputs as
2025-09-07T06:38:50.7131560Z         ``func``, except each output has an extra dimension at the index
2025-09-07T06:38:50.7131610Z         specified by ``out_dims``.
2025-09-07T06:38:50.7131650Z     
2025-09-07T06:38:50.7131690Z     .. warning:
2025-09-07T06:38:50.7131820Z         :func:`vmap` works best with functional-style code. Please do not
2025-09-07T06:38:50.7131930Z         perform any side-effects in ``func``, with the exception of
2025-09-07T06:38:50.7132070Z         in-place PyTorch operations. Examples of side-effects include mutating
2025-09-07T06:38:50.7132210Z         Python data structures and assigning values to variables not captured
2025-09-07T06:38:50.7132250Z         in ``func``.
2025-09-07T06:38:50.7132300Z     
2025-09-07T06:38:50.7132440Z     One example of using :func:`vmap` is to compute batched dot products. PyTorch
2025-09-07T06:38:50.7132570Z     doesn't provide a batched ``torch.dot`` API; instead of unsuccessfully
2025-09-07T06:38:50.7132700Z     rummaging through docs, use :func:`vmap` to construct a new function.
2025-09-07T06:38:50.7132740Z     
2025-09-07T06:38:50.7132800Z         >>> torch.dot  # [D], [D] -> []
2025-09-07T06:38:50.7132930Z         >>> batched_dot = torch.func.vmap(torch.dot)  # [N, D], [N, D] -> [N]
2025-09-07T06:38:50.7133000Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-09-07T06:38:50.7133060Z         >>> batched_dot(x, y)
2025-09-07T06:38:50.7133100Z     
2025-09-07T06:38:50.7133260Z     :func:`vmap` can be helpful in hiding batch dimensions, leading to a simpler
2025-09-07T06:38:50.7133320Z     model authoring experience.
2025-09-07T06:38:50.7133360Z     
2025-09-07T06:38:50.7133430Z         >>> batch_size, feature_size = 3, 5
2025-09-07T06:38:50.7133530Z         >>> weights = torch.randn(feature_size, requires_grad=True)
2025-09-07T06:38:50.7133570Z         >>>
2025-09-07T06:38:50.7133630Z         >>> def model(feature_vec):
2025-09-07T06:38:50.7133710Z         >>> # Very simple linear model with activation
2025-09-07T06:38:50.7133790Z         >>>     return feature_vec.dot(weights).relu()
2025-09-07T06:38:50.7133830Z         >>>
2025-09-07T06:38:50.7137280Z         >>> examples = torch.randn(batch_size, feature_size)
2025-09-07T06:38:50.7137470Z         >>> result = torch.vmap(model)(examples)
2025-09-07T06:38:50.7137510Z     
2025-09-07T06:38:50.7137660Z     :func:`vmap` can also help vectorize computations that were previously difficult
2025-09-07T06:38:50.7137800Z     or impossible to batch. One example is higher-order gradient computation.
2025-09-07T06:38:50.7137940Z     The PyTorch autograd engine computes vjps (vector-Jacobian products).
2025-09-07T06:38:50.7138080Z     Computing a full Jacobian matrix for some function f: R^N -> R^N usually
2025-09-07T06:38:50.7138230Z     requires N calls to ``autograd.grad``, one per Jacobian row. Using :func:`vmap`,
2025-09-07T06:38:50.7138370Z     we can vectorize the whole computation, computing the Jacobian in a single
2025-09-07T06:38:50.7138430Z     call to ``autograd.grad``.
2025-09-07T06:38:50.7138470Z     
2025-09-07T06:38:50.7138510Z         >>> # Setup
2025-09-07T06:38:50.7138550Z         >>> N = 5
2025-09-07T06:38:50.7138610Z         >>> f = lambda x: x**2
2025-09-07T06:38:50.7138680Z         >>> x = torch.randn(N, requires_grad=True)
2025-09-07T06:38:50.7138720Z         >>> y = f(x)
2025-09-07T06:38:50.7138770Z         >>> I_N = torch.eye(N)
2025-09-07T06:38:50.7138820Z         >>>
2025-09-07T06:38:50.7138870Z         >>> # Sequential approach
2025-09-07T06:38:50.7139010Z         >>> jacobian_rows = [torch.autograd.grad(y, x, v, retain_graph=True)[0]
2025-09-07T06:38:50.7139100Z         >>>                  for v in I_N.unbind()]
2025-09-07T06:38:50.7139170Z         >>> jacobian = torch.stack(jacobian_rows)
2025-09-07T06:38:50.7139210Z         >>>
2025-09-07T06:38:50.7139280Z         >>> # vectorized gradient computation
2025-09-07T06:38:50.7139330Z         >>> def get_vjp(v):
2025-09-07T06:38:50.7139430Z         >>>     return torch.autograd.grad(y, x, v)
2025-09-07T06:38:50.7139500Z         >>> jacobian = torch.vmap(get_vjp)(I_N)
2025-09-07T06:38:50.7139540Z     
2025-09-07T06:38:50.7139710Z     :func:`vmap` can also be nested, producing an output with multiple batched dimensions
2025-09-07T06:38:50.7139750Z     
2025-09-07T06:38:50.7139810Z         >>> torch.dot  # [D], [D] -> []
2025-09-07T06:38:50.7139860Z         >>> batched_dot = torch.vmap(
2025-09-07T06:38:50.7139920Z         ...     torch.vmap(torch.dot)
2025-09-07T06:38:50.7140000Z         ... )  # [N1, N0, D], [N1, N0, D] -> [N1, N0]
2025-09-07T06:38:50.7140090Z         >>> x, y = torch.randn(2, 3, 5), torch.randn(2, 3, 5)
2025-09-07T06:38:50.7140170Z         >>> batched_dot(x, y)  # tensor of size [2, 3]
2025-09-07T06:38:50.7140210Z     
2025-09-07T06:38:50.7140350Z     If the inputs are not batched along the first dimension, ``in_dims`` specifies
2025-09-07T06:38:50.7140440Z     the dimension that each inputs are batched along as
2025-09-07T06:38:50.7140490Z     
2025-09-07T06:38:50.7140540Z         >>> torch.dot  # [N], [N] -> []
2025-09-07T06:38:50.7140680Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=1)  # [N, D], [N, D] -> [D]
2025-09-07T06:38:50.7140750Z         >>> x, y = torch.randn(2, 5), torch.randn(2, 5)
2025-09-07T06:38:50.7140810Z         >>> batched_dot(
2025-09-07T06:38:50.7140850Z         ...     x, y
2025-09-07T06:38:50.7140970Z         ... )  # output is [5] instead of [2] if batched along the 0th dimension
2025-09-07T06:38:50.7141030Z     
2025-09-07T06:38:50.7141210Z     If there are multiple inputs each of which is batched along different dimensions,
2025-09-07T06:38:50.7141330Z     ``in_dims`` must be a tuple with the batch dimension for each input as
2025-09-07T06:38:50.7141370Z     
2025-09-07T06:38:50.7141430Z         >>> torch.dot  # [D], [D] -> []
2025-09-07T06:38:50.7141570Z         >>> batched_dot = torch.vmap(torch.dot, in_dims=(0, None))  # [N, D], [D] -> [N]
2025-09-07T06:38:50.7141650Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-09-07T06:38:50.7141700Z         >>> batched_dot(
2025-09-07T06:38:50.7141740Z         ...     x, y
2025-09-07T06:38:50.7141860Z         ... )  # second arg doesn't have a batch dim because in_dim[1] was None
2025-09-07T06:38:50.7141920Z     
2025-09-07T06:38:50.7142070Z     If the input is a Python struct, ``in_dims`` must be a tuple containing a struct
2025-09-07T06:38:50.7142130Z     matching the shape of the input:
2025-09-07T06:38:50.7142170Z     
2025-09-07T06:38:50.7142260Z         >>> f = lambda dict: torch.dot(dict["x"], dict["y"])
2025-09-07T06:38:50.7142330Z         >>> x, y = torch.randn(2, 5), torch.randn(5)
2025-09-07T06:38:50.7142390Z         >>> input = {"x": x, "y": y}
2025-09-07T06:38:50.7142500Z         >>> batched_dot = torch.vmap(f, in_dims=({"x": 0, "y": None},))
2025-09-07T06:38:50.7142550Z         >>> batched_dot(input)
2025-09-07T06:38:50.7142590Z     
2025-09-07T06:38:50.7142750Z     By default, the output is batched along the first dimension. However, it can be batched
2025-09-07T06:38:50.7142830Z     along any dimension by using ``out_dims``
2025-09-07T06:38:50.7142870Z     
2025-09-07T06:38:50.7142920Z         >>> f = lambda x: x**2
2025-09-07T06:38:50.7142970Z         >>> x = torch.randn(2, 5)
2025-09-07T06:38:50.7143050Z         >>> batched_pow = torch.vmap(f, out_dims=1)
2025-09-07T06:38:50.7143100Z         >>> batched_pow(x)  # [5, 2]
2025-09-07T06:38:50.7143140Z     
2025-09-07T06:38:50.7143320Z     For any function that uses kwargs, the returned function will not batch the kwargs but will
2025-09-07T06:38:50.7143370Z     accept kwargs
2025-09-07T06:38:50.7143430Z     
2025-09-07T06:38:50.7143490Z         >>> x = torch.randn([2, 5])
2025-09-07T06:38:50.7143550Z         >>> def fn(x, scale=4.):
2025-09-07T06:38:50.7143600Z         >>>   return x * scale
2025-09-07T06:38:50.7143640Z         >>>
2025-09-07T06:38:50.7143700Z         >>> batched_pow = torch.vmap(fn)
2025-09-07T06:38:50.7143810Z         >>> assert torch.allclose(batched_pow(x), x * 4)
2025-09-07T06:38:50.7143940Z         >>> batched_pow(x, scale=x)  # scale is not batched, output has shape [2, 2, 5]
2025-09-07T06:38:50.7143990Z     
2025-09-07T06:38:50.7144030Z     .. note::
2025-09-07T06:38:50.7144170Z         vmap does not provide general autobatching or handle variable-length
2025-09-07T06:38:50.7144220Z         sequences out of the box.
2025-09-07T06:38:50.7144270Z     
2025-09-07T06:38:50.7144420Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7144460Z     
2025-09-07T06:38:50.7144510Z       warnings.warn(msg)
2025-09-07T06:38:50.7144550Z     
2025-09-07T06:38:50.7144680Z --- Parse Warning: 24 / 146 ---
2025-09-07T06:38:50.7145320Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=grad in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_functorch/apis.py line=306.
2025-09-07T06:38:50.7145490Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7145640Z     ``grad`` operator helps computing gradients of ``func`` with respect to the
2025-09-07T06:38:50.7145760Z         input(s) specified by ``argnums``. This operator can be nested to
2025-09-07T06:38:50.7145820Z         compute higher-order gradients.
2025-09-07T06:38:50.7145870Z     
2025-09-07T06:38:50.7145910Z         Args:
2025-09-07T06:38:50.7146070Z             func (Callable): A Python function that takes one or more arguments.
2025-09-07T06:38:50.7146240Z                 Must return a single-element Tensor. If specified ``has_aux`` equals ``True``,
2025-09-07T06:38:50.7146410Z                 function can return a tuple of single-element Tensor and other auxiliary objects:
2025-09-07T06:38:50.7146470Z                 ``(output, aux)``.
2025-09-07T06:38:50.7146650Z             argnums (int or Tuple[int]): Specifies arguments to compute gradients with respect to.
2025-09-07T06:38:50.7146780Z                 ``argnums`` can be single integer or tuple of integers. Default: 0.
2025-09-07T06:38:50.7146920Z             has_aux (bool): Flag indicating that ``func`` returns a tensor and other
2025-09-07T06:38:50.7147020Z                 auxiliary objects: ``(output, aux)``. Default: False.
2025-09-07T06:38:50.7147090Z     
2025-09-07T06:38:50.7147140Z         Returns:
2025-09-07T06:38:50.7147300Z             Function to compute gradients with respect to its inputs. By default, the output of
2025-09-07T06:38:50.7147450Z             the function is the gradient tensor(s) with respect to the first argument.
2025-09-07T06:38:50.7147620Z             If specified ``has_aux`` equals ``True``, tuple of gradients and output auxiliary objects
2025-09-07T06:38:50.7147770Z             is returned. If ``argnums`` is a tuple of integers, a tuple of output gradients with
2025-09-07T06:38:50.7147860Z             respect to each ``argnums`` value is returned.
2025-09-07T06:38:50.7147900Z     
2025-09-07T06:38:50.7147950Z         Example of using ``grad``:
2025-09-07T06:38:50.7148000Z     
2025-09-07T06:38:50.7148050Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7148110Z             >>> from torch.func import grad
2025-09-07T06:38:50.7148170Z             >>> x = torch.randn([])
2025-09-07T06:38:50.7148250Z             >>> cos_x = grad(lambda x: torch.sin(x))(x)
2025-09-07T06:38:50.7148320Z             >>> assert torch.allclose(cos_x, x.cos())
2025-09-07T06:38:50.7148370Z             >>>
2025-09-07T06:38:50.7148430Z             >>> # Second-order gradients
2025-09-07T06:38:50.7148540Z             >>> neg_sin_x = grad(grad(lambda x: torch.sin(x)))(x)
2025-09-07T06:38:50.7148630Z             >>> assert torch.allclose(neg_sin_x, -x.sin())
2025-09-07T06:38:50.7148660Z     
2025-09-07T06:38:50.7148820Z         When composed with ``vmap``, ``grad`` can be used to compute per-sample-gradients:
2025-09-07T06:38:50.7148850Z     
2025-09-07T06:38:50.7148910Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7149000Z             >>> from torch.func import grad, vmap
2025-09-07T06:38:50.7149080Z             >>> batch_size, feature_size = 3, 5
2025-09-07T06:38:50.7149120Z             >>>
2025-09-07T06:38:50.7149190Z             >>> def model(weights, feature_vec):
2025-09-07T06:38:50.7149270Z             >>> # Very simple linear model with activation
2025-09-07T06:38:50.7149350Z             >>>     assert feature_vec.dim() == 1
2025-09-07T06:38:50.7149420Z             >>>     return feature_vec.dot(weights).relu()
2025-09-07T06:38:50.7149460Z             >>>
2025-09-07T06:38:50.7149550Z             >>> def compute_loss(weights, example, target):
2025-09-07T06:38:50.7149620Z             >>>     y = model(weights, example)
2025-09-07T06:38:50.7149700Z             >>>     return ((y - target) ** 2).mean()  # MSELoss
2025-09-07T06:38:50.7149740Z             >>>
2025-09-07T06:38:50.7149850Z             >>> weights = torch.randn(feature_size, requires_grad=True)
2025-09-07T06:38:50.7149940Z             >>> examples = torch.randn(batch_size, feature_size)
2025-09-07T06:38:50.7150010Z             >>> targets = torch.randn(batch_size)
2025-09-07T06:38:50.7150090Z             >>> inputs = (weights, examples, targets)
2025-09-07T06:38:50.7150230Z             >>> grad_weight_per_example = vmap(grad(compute_loss), in_dims=(None, 0, 0))(
2025-09-07T06:38:50.7150280Z             ...     *inputs
2025-09-07T06:38:50.7150330Z             ... )
2025-09-07T06:38:50.7150370Z     
2025-09-07T06:38:50.7150500Z         Example of using ``grad`` with ``has_aux`` and ``argnums``:
2025-09-07T06:38:50.7150540Z     
2025-09-07T06:38:50.7150590Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7150660Z             >>> from torch.func import grad
2025-09-07T06:38:50.7150720Z             >>> def my_loss_func(y, y_pred):
2025-09-07T06:38:50.7150800Z             >>>    loss_per_sample = (0.5 * y_pred - y) ** 2
2025-09-07T06:38:50.7150870Z             >>>    loss = loss_per_sample.mean()
2025-09-07T06:38:50.7150950Z             >>>    return loss, (y_pred, loss_per_sample)
2025-09-07T06:38:50.7150990Z             >>>
2025-09-07T06:38:50.7151090Z             >>> fn = grad(my_loss_func, argnums=(0, 1), has_aux=True)
2025-09-07T06:38:50.7151140Z             >>> y_true = torch.rand(4)
2025-09-07T06:38:50.7151240Z             >>> y_preds = torch.rand(4, requires_grad=True)
2025-09-07T06:38:50.7151300Z             >>> out = fn(y_true, y_preds)
2025-09-07T06:38:50.7151460Z             >>> # > output is ((grads w.r.t y_true, grads w.r.t y_preds), (y_pred, loss_per_sample))
2025-09-07T06:38:50.7151490Z     
2025-09-07T06:38:50.7151540Z         .. note::
2025-09-07T06:38:50.7151640Z             Using PyTorch ``torch.no_grad`` together with ``grad``.
2025-09-07T06:38:50.7151680Z     
2025-09-07T06:38:50.7151770Z             Case 1: Using ``torch.no_grad`` inside a function:
2025-09-07T06:38:50.7151810Z     
2025-09-07T06:38:50.7151870Z                 >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7151910Z                 >>> def f(x):
2025-09-07T06:38:50.7151980Z                 >>>     with torch.no_grad():
2025-09-07T06:38:50.7152030Z                 >>>         c = x ** 2
2025-09-07T06:38:50.7152090Z                 >>>     return x - c
2025-09-07T06:38:50.7152130Z     
2025-09-07T06:38:50.7152250Z             In this case, ``grad(f)(x)`` will respect the inner ``torch.no_grad``.
2025-09-07T06:38:50.7152290Z     
2025-09-07T06:38:50.7152410Z             Case 2: Using ``grad`` inside ``torch.no_grad`` context manager:
2025-09-07T06:38:50.7152450Z     
2025-09-07T06:38:50.7152500Z                 >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7152560Z                 >>> with torch.no_grad():
2025-09-07T06:38:50.7152630Z                 >>>     grad(f)(x)
2025-09-07T06:38:50.7152680Z     
2025-09-07T06:38:50.7152810Z             In this case, ``grad`` will respect the inner ``torch.no_grad``, but not the
2025-09-07T06:38:50.7152940Z             outer one. This is because ``grad`` is a "function transform": its result
2025-09-07T06:38:50.7153090Z             should not depend on the result of a context manager outside of ``f``.
2025-09-07T06:38:50.7153130Z     
2025-09-07T06:38:50.7153170Z         
2025-09-07T06:38:50.7153330Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7153370Z     
2025-09-07T06:38:50.7153420Z       warnings.warn(msg)
2025-09-07T06:38:50.7153460Z     
2025-09-07T06:38:50.7153560Z --- Parse Warning: 25 / 146 ---
2025-09-07T06:38:50.7154240Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=print_assert_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=286.
2025-09-07T06:38:50.7154400Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7154440Z     
2025-09-07T06:38:50.7154570Z     Test if two objects are equal, and print an error message if test fails.
2025-09-07T06:38:50.7154620Z     
2025-09-07T06:38:50.7154700Z     The test is performed with ``actual == desired``.
2025-09-07T06:38:50.7154740Z     
2025-09-07T06:38:50.7154790Z     Parameters
2025-09-07T06:38:50.7154830Z     ----------
2025-09-07T06:38:50.7154880Z     test_string : str
2025-09-07T06:38:50.7154960Z         The message supplied to AssertionError.
2025-09-07T06:38:50.7155000Z     actual : object
2025-09-07T06:38:50.7155100Z         The object to test for equality against `desired`.
2025-09-07T06:38:50.7155170Z     desired : object
2025-09-07T06:38:50.7155230Z         The expected result.
2025-09-07T06:38:50.7155270Z     
2025-09-07T06:38:50.7155310Z     Examples
2025-09-07T06:38:50.7155360Z     --------
2025-09-07T06:38:50.7155420Z     >>> np.testing.print_assert_equal(
2025-09-07T06:38:50.7155490Z     ...     "Test XYZ of func xyz", [0, 1], [0, 1]
2025-09-07T06:38:50.7155540Z     ... )  # doctest: +SKIP
2025-09-07T06:38:50.7155610Z     >>> np.testing.print_assert_equal(
2025-09-07T06:38:50.7155670Z     ...     "Test XYZ of func xyz", [0, 1], [0, 2]
2025-09-07T06:38:50.7155720Z     ... )  # doctest: +SKIP
2025-09-07T06:38:50.7155780Z     Traceback (most recent call last):
2025-09-07T06:38:50.7155830Z     ...
2025-09-07T06:38:50.7155930Z     AssertionError: Test XYZ of func xyz failed
2025-09-07T06:38:50.7155970Z     ACTUAL:
2025-09-07T06:38:50.7156010Z     [0, 1]
2025-09-07T06:38:50.7156050Z     DESIRED:
2025-09-07T06:38:50.7156090Z     [0, 2]
2025-09-07T06:38:50.7156130Z     
2025-09-07T06:38:50.7156170Z     
2025-09-07T06:38:50.7156320Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7156370Z     
2025-09-07T06:38:50.7156410Z       warnings.warn(msg)
2025-09-07T06:38:50.7156460Z     
2025-09-07T06:38:50.7156550Z --- Parse Warning: 26 / 146 ---
2025-09-07T06:38:50.7157230Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=331.
2025-09-07T06:38:50.7157390Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7157430Z     
2025-09-07T06:38:50.7157550Z     Raises an AssertionError if two items are not equal up to desired
2025-09-07T06:38:50.7157600Z     precision.
2025-09-07T06:38:50.7157630Z     
2025-09-07T06:38:50.7157740Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-09-07T06:38:50.7157850Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-09-07T06:38:50.7157990Z               instead of this function for more consistent floating point
2025-09-07T06:38:50.7158040Z               comparisons.
2025-09-07T06:38:50.7158080Z     
2025-09-07T06:38:50.7158210Z     The test verifies that the elements of `actual` and `desired` satisfy.
2025-09-07T06:38:50.7158250Z     
2025-09-07T06:38:50.7158370Z         ``abs(desired-actual) < float64(1.5 * 10**(-decimal))``
2025-09-07T06:38:50.7158410Z     
2025-09-07T06:38:50.7158550Z     That is a looser test than originally documented, but agrees with what the
2025-09-07T06:38:50.7158690Z     actual implementation in `assert_array_almost_equal` did up to rounding
2025-09-07T06:38:50.7158830Z     vagaries. An exception is raised at conflicting values. For ndarrays this
2025-09-07T06:38:50.7158900Z     delegates to assert_array_almost_equal
2025-09-07T06:38:50.7158940Z     
2025-09-07T06:38:50.7158990Z     Parameters
2025-09-07T06:38:50.7159030Z     ----------
2025-09-07T06:38:50.7159080Z     actual : array_like
2025-09-07T06:38:50.7159140Z         The object to check.
2025-09-07T06:38:50.7159190Z     desired : array_like
2025-09-07T06:38:50.7159240Z         The expected object.
2025-09-07T06:38:50.7159290Z     decimal : int, optional
2025-09-07T06:38:50.7159360Z         Desired precision, default is 7.
2025-09-07T06:38:50.7159410Z     err_msg : str, optional
2025-09-07T06:38:50.7159500Z         The error message to be printed in case of failure.
2025-09-07T06:38:50.7159550Z     verbose : bool, optional
2025-09-07T06:38:50.7159680Z         If True, the conflicting values are appended to the error message.
2025-09-07T06:38:50.7159720Z     
2025-09-07T06:38:50.7159760Z     Raises
2025-09-07T06:38:50.7159800Z     ------
2025-09-07T06:38:50.7159850Z     AssertionError
2025-09-07T06:38:50.7159960Z       If actual and desired are not equal up to specified precision.
2025-09-07T06:38:50.7160030Z     
2025-09-07T06:38:50.7160070Z     See Also
2025-09-07T06:38:50.7160120Z     --------
2025-09-07T06:38:50.7160260Z     assert_allclose: Compare two array_like objects for equality with desired
2025-09-07T06:38:50.7160340Z                      relative and/or absolute precision.
2025-09-07T06:38:50.7160460Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-09-07T06:38:50.7160500Z     
2025-09-07T06:38:50.7160540Z     Examples
2025-09-07T06:38:50.7160580Z     --------
2025-09-07T06:38:50.7160680Z     >>> from torch._numpy.testing import assert_almost_equal
2025-09-07T06:38:50.7160760Z     >>> assert_almost_equal(2.3333333333333, 2.33333334)
2025-09-07T06:38:50.7160870Z     >>> assert_almost_equal(2.3333333333333, 2.33333334, decimal=10)
2025-09-07T06:38:50.7160950Z     Traceback (most recent call last):
2025-09-07T06:38:50.7160990Z         ...
2025-09-07T06:38:50.7161030Z     AssertionError:
2025-09-07T06:38:50.7161110Z     Arrays are not almost equal to 10 decimals
2025-09-07T06:38:50.7161160Z      ACTUAL: 2.3333333333333
2025-09-07T06:38:50.7161210Z      DESIRED: 2.33333334
2025-09-07T06:38:50.7161250Z     
2025-09-07T06:38:50.7161300Z     >>> assert_almost_equal(
2025-09-07T06:38:50.7161430Z     ...     np.array([1.0, 2.3333333333333]), np.array([1.0, 2.33333334]), decimal=9
2025-09-07T06:38:50.7161470Z     ... )
2025-09-07T06:38:50.7161530Z     Traceback (most recent call last):
2025-09-07T06:38:50.7161570Z         ...
2025-09-07T06:38:50.7161620Z     AssertionError:
2025-09-07T06:38:50.7161690Z     Arrays are not almost equal to 9 decimals
2025-09-07T06:38:50.7161740Z     <BLANKLINE>
2025-09-07T06:38:50.7161790Z     Mismatched elements: 1 / 2 (50%)
2025-09-07T06:38:50.7161870Z     Max absolute difference: 6.666699636781459e-09
2025-09-07T06:38:50.7161940Z     Max relative difference: 2.8571569790287484e-09
2025-09-07T06:38:50.7162030Z      x: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-09-07T06:38:50.7162110Z      y: torch.ndarray([1.0000, 2.3333], dtype=float64)
2025-09-07T06:38:50.7162150Z     
2025-09-07T06:38:50.7162190Z     
2025-09-07T06:38:50.7162470Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7162510Z     
2025-09-07T06:38:50.7162560Z       warnings.warn(msg)
2025-09-07T06:38:50.7162600Z     
2025-09-07T06:38:50.7162700Z --- Parse Warning: 27 / 146 ---
2025-09-07T06:38:50.7163400Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_approx_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=457.
2025-09-07T06:38:50.7163560Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7163600Z     
2025-09-07T06:38:50.7163730Z     Raises an AssertionError if two items are not equal up to significant
2025-09-07T06:38:50.7163780Z     digits.
2025-09-07T06:38:50.7163820Z     
2025-09-07T06:38:50.7163920Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-09-07T06:38:50.7164030Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-09-07T06:38:50.7164140Z               instead of this function for more consistent floating point
2025-09-07T06:38:50.7164190Z               comparisons.
2025-09-07T06:38:50.7164230Z     
2025-09-07T06:38:50.7164350Z     Given two numbers, check that they are approximately equal.
2025-09-07T06:38:50.7164480Z     Approximately equal is defined as the number of significant digits
2025-09-07T06:38:50.7164520Z     that agree.
2025-09-07T06:38:50.7164560Z     
2025-09-07T06:38:50.7164610Z     Parameters
2025-09-07T06:38:50.7164650Z     ----------
2025-09-07T06:38:50.7164700Z     actual : scalar
2025-09-07T06:38:50.7164750Z         The object to check.
2025-09-07T06:38:50.7164790Z     desired : scalar
2025-09-07T06:38:50.7164840Z         The expected object.
2025-09-07T06:38:50.7164920Z     significant : int, optional
2025-09-07T06:38:50.7164990Z         Desired precision, default is 7.
2025-09-07T06:38:50.7165040Z     err_msg : str, optional
2025-09-07T06:38:50.7165130Z         The error message to be printed in case of failure.
2025-09-07T06:38:50.7165180Z     verbose : bool, optional
2025-09-07T06:38:50.7165310Z         If True, the conflicting values are appended to the error message.
2025-09-07T06:38:50.7165350Z     
2025-09-07T06:38:50.7165390Z     Raises
2025-09-07T06:38:50.7165430Z     ------
2025-09-07T06:38:50.7165480Z     AssertionError
2025-09-07T06:38:50.7165600Z       If actual and desired are not equal up to specified precision.
2025-09-07T06:38:50.7165630Z     
2025-09-07T06:38:50.7165680Z     See Also
2025-09-07T06:38:50.7165740Z     --------
2025-09-07T06:38:50.7165880Z     assert_allclose: Compare two array_like objects for equality with desired
2025-09-07T06:38:50.7165960Z                      relative and/or absolute precision.
2025-09-07T06:38:50.7166090Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-09-07T06:38:50.7166130Z     
2025-09-07T06:38:50.7166170Z     Examples
2025-09-07T06:38:50.7166210Z     --------
2025-09-07T06:38:50.7166270Z     >>> np.testing.assert_approx_equal(
2025-09-07T06:38:50.7166340Z     ...     0.12345677777777e-20, 0.1234567e-20
2025-09-07T06:38:50.7166390Z     ... )  # doctest: +SKIP
2025-09-07T06:38:50.7166450Z     >>> np.testing.assert_approx_equal(
2025-09-07T06:38:50.7166500Z     ...     0.12345670e-20,
2025-09-07T06:38:50.7166560Z     ...     0.12345671e-20,  # doctest: +SKIP
2025-09-07T06:38:50.7166610Z     ...     significant=8,
2025-09-07T06:38:50.7166650Z     ... )
2025-09-07T06:38:50.7166720Z     >>> np.testing.assert_approx_equal(
2025-09-07T06:38:50.7166760Z     ...     0.12345670e-20,
2025-09-07T06:38:50.7166820Z     ...     0.12345672e-20,  # doctest: +SKIP
2025-09-07T06:38:50.7166870Z     ...     significant=8,
2025-09-07T06:38:50.7166910Z     ... )
2025-09-07T06:38:50.7166970Z     Traceback (most recent call last):
2025-09-07T06:38:50.7167010Z         ...
2025-09-07T06:38:50.7167060Z     AssertionError:
2025-09-07T06:38:50.7167160Z     Items are not equal to 8 significant digits:
2025-09-07T06:38:50.7167210Z      ACTUAL: 1.234567e-21
2025-09-07T06:38:50.7167260Z      DESIRED: 1.2345672e-21
2025-09-07T06:38:50.7167300Z     
2025-09-07T06:38:50.7167390Z     the evaluated condition that raises the exception is
2025-09-07T06:38:50.7167430Z     
2025-09-07T06:38:50.7167570Z     >>> abs(0.12345670e-20 / 1e-21 - 0.12345672e-20 / 1e-21) >= 10 ** -(8 - 1)
2025-09-07T06:38:50.7167610Z     True
2025-09-07T06:38:50.7167650Z     
2025-09-07T06:38:50.7167690Z     
2025-09-07T06:38:50.7167840Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7167880Z     
2025-09-07T06:38:50.7167930Z       warnings.warn(msg)
2025-09-07T06:38:50.7167970Z     
2025-09-07T06:38:50.7168070Z --- Parse Warning: 28 / 146 ---
2025-09-07T06:38:50.7168740Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=744.
2025-09-07T06:38:50.7168900Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7168940Z     
2025-09-07T06:38:50.7169060Z     Raises an AssertionError if two array_like objects are not equal.
2025-09-07T06:38:50.7169100Z     
2025-09-07T06:38:50.7169230Z     Given two array_like objects, check that the shape is equal and all
2025-09-07T06:38:50.7169360Z     elements of these objects are equal (but see the Notes for the special
2025-09-07T06:38:50.7169480Z     handling of a scalar). An exception is raised at shape mismatch or
2025-09-07T06:38:50.7169620Z     conflicting values. In contrast to the standard usage in numpy, NaNs
2025-09-07T06:38:50.7169790Z     are compared like numbers, no assertion is raised if both objects have
2025-09-07T06:38:50.7169850Z     NaNs in the same positions.
2025-09-07T06:38:50.7169890Z     
2025-09-07T06:38:50.7170020Z     The usual caution for verifying equality with floating point numbers is
2025-09-07T06:38:50.7170060Z     advised.
2025-09-07T06:38:50.7170100Z     
2025-09-07T06:38:50.7170150Z     Parameters
2025-09-07T06:38:50.7170190Z     ----------
2025-09-07T06:38:50.7170230Z     x : array_like
2025-09-07T06:38:50.7170290Z         The actual object to check.
2025-09-07T06:38:50.7170340Z     y : array_like
2025-09-07T06:38:50.7170400Z         The desired, expected object.
2025-09-07T06:38:50.7170450Z     err_msg : str, optional
2025-09-07T06:38:50.7170540Z         The error message to be printed in case of failure.
2025-09-07T06:38:50.7170620Z     verbose : bool, optional
2025-09-07T06:38:50.7170740Z         If True, the conflicting values are appended to the error message.
2025-09-07T06:38:50.7170790Z     strict : bool, optional
2025-09-07T06:38:50.7170910Z         If True, raise an AssertionError when either the shape or the data
2025-09-07T06:38:50.7171020Z         type of the array_like objects does not match. The special
2025-09-07T06:38:50.7171140Z         handling for scalars mentioned in the Notes section is disabled.
2025-09-07T06:38:50.7171180Z     
2025-09-07T06:38:50.7171220Z     Raises
2025-09-07T06:38:50.7171260Z     ------
2025-09-07T06:38:50.7171310Z     AssertionError
2025-09-07T06:38:50.7171390Z         If actual and desired objects are not equal.
2025-09-07T06:38:50.7171430Z     
2025-09-07T06:38:50.7171470Z     See Also
2025-09-07T06:38:50.7171510Z     --------
2025-09-07T06:38:50.7171650Z     assert_allclose: Compare two array_like objects for equality with desired
2025-09-07T06:38:50.7171720Z                      relative and/or absolute precision.
2025-09-07T06:38:50.7171850Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-09-07T06:38:50.7171890Z     
2025-09-07T06:38:50.7171930Z     Notes
2025-09-07T06:38:50.7171970Z     -----
2025-09-07T06:38:50.7172080Z     When one of `x` and `y` is a scalar and the other is array_like, the
2025-09-07T06:38:50.7172240Z     function checks that each element of the array_like object is equal to
2025-09-07T06:38:50.7172370Z     the scalar. This behaviour can be disabled with the `strict` parameter.
2025-09-07T06:38:50.7172410Z     
2025-09-07T06:38:50.7172450Z     Examples
2025-09-07T06:38:50.7172490Z     --------
2025-09-07T06:38:50.7172590Z     The first assert does not raise an exception:
2025-09-07T06:38:50.7172630Z     
2025-09-07T06:38:50.7172690Z     >>> np.testing.assert_array_equal(
2025-09-07T06:38:50.7172790Z     ...     [1.0, 2.33333, np.nan], [np.exp(0), 2.33333, np.nan]
2025-09-07T06:38:50.7172820Z     ... )
2025-09-07T06:38:50.7172870Z     
2025-09-07T06:38:50.7173000Z     Use `assert_allclose` or one of the nulp (number of floating point values)
2025-09-07T06:38:50.7173060Z     functions for these cases instead:
2025-09-07T06:38:50.7173100Z     
2025-09-07T06:38:50.7173160Z     >>> np.testing.assert_allclose(
2025-09-07T06:38:50.7173290Z     ...     [1.0, np.pi, np.nan], [1, np.sqrt(np.pi) ** 2, np.nan], rtol=1e-10, atol=0
2025-09-07T06:38:50.7173330Z     ... )
2025-09-07T06:38:50.7173370Z     
2025-09-07T06:38:50.7173490Z     As mentioned in the Notes section, `assert_array_equal` has special
2025-09-07T06:38:50.7173620Z     handling for scalars. Here the test checks that each value in `x` is 3:
2025-09-07T06:38:50.7173660Z     
2025-09-07T06:38:50.7173730Z     >>> x = np.full((2, 5), fill_value=3)
2025-09-07T06:38:50.7173790Z     >>> np.testing.assert_array_equal(x, 3)
2025-09-07T06:38:50.7173830Z     
2025-09-07T06:38:50.7173960Z     Use `strict` to raise an AssertionError when comparing a scalar with an
2025-09-07T06:38:50.7174000Z     array:
2025-09-07T06:38:50.7174040Z     
2025-09-07T06:38:50.7174130Z     >>> np.testing.assert_array_equal(x, 3, strict=True)
2025-09-07T06:38:50.7174190Z     Traceback (most recent call last):
2025-09-07T06:38:50.7174230Z         ...
2025-09-07T06:38:50.7174320Z     AssertionError:
2025-09-07T06:38:50.7174370Z     Arrays are not equal
2025-09-07T06:38:50.7174410Z     <BLANKLINE>
2025-09-07T06:38:50.7174470Z     (shapes (2, 5), () mismatch)
2025-09-07T06:38:50.7174530Z      x: torch.ndarray([[3, 3, 3, 3, 3],
2025-09-07T06:38:50.7174570Z             [3, 3, 3, 3, 3]])
2025-09-07T06:38:50.7174630Z      y: torch.ndarray(3)
2025-09-07T06:38:50.7174660Z     
2025-09-07T06:38:50.7174790Z     The `strict` parameter also ensures that the array data types match:
2025-09-07T06:38:50.7174830Z     
2025-09-07T06:38:50.7174880Z     >>> x = np.array([2, 2, 2])
2025-09-07T06:38:50.7174960Z     >>> y = np.array([2.0, 2.0, 2.0], dtype=np.float32)
2025-09-07T06:38:50.7175050Z     >>> np.testing.assert_array_equal(x, y, strict=True)
2025-09-07T06:38:50.7175140Z     Traceback (most recent call last):
2025-09-07T06:38:50.7175180Z         ...
2025-09-07T06:38:50.7175230Z     AssertionError:
2025-09-07T06:38:50.7175280Z     Arrays are not equal
2025-09-07T06:38:50.7175320Z     <BLANKLINE>
2025-09-07T06:38:50.7175410Z     (dtypes dtype("int64"), dtype("float32") mismatch)
2025-09-07T06:38:50.7175470Z      x: torch.ndarray([2, 2, 2])
2025-09-07T06:38:50.7175520Z      y: torch.ndarray([2., 2., 2.])
2025-09-07T06:38:50.7175560Z     
2025-09-07T06:38:50.7175710Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7175750Z     
2025-09-07T06:38:50.7175800Z       warnings.warn(msg)
2025-09-07T06:38:50.7175840Z     
2025-09-07T06:38:50.7175940Z --- Parse Warning: 29 / 146 ---
2025-09-07T06:38:50.7176620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_array_almost_equal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=851.
2025-09-07T06:38:50.7176780Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7176820Z     
2025-09-07T06:38:50.7176950Z     Raises an AssertionError if two objects are not equal up to desired
2025-09-07T06:38:50.7177010Z     precision.
2025-09-07T06:38:50.7177050Z     
2025-09-07T06:38:50.7177160Z     .. note:: It is recommended to use one of `assert_allclose`,
2025-09-07T06:38:50.7177270Z               `assert_array_almost_equal_nulp` or `assert_array_max_ulp`
2025-09-07T06:38:50.7177400Z               instead of this function for more consistent floating point
2025-09-07T06:38:50.7177460Z               comparisons.
2025-09-07T06:38:50.7177500Z     
2025-09-07T06:38:50.7177640Z     The test verifies identical shapes and that the elements of ``actual`` and
2025-09-07T06:38:50.7177690Z     ``desired`` satisfy.
2025-09-07T06:38:50.7177730Z     
2025-09-07T06:38:50.7177810Z         ``abs(desired-actual) < 1.5 * 10**(-decimal)``
2025-09-07T06:38:50.7177850Z     
2025-09-07T06:38:50.7177990Z     That is a looser test than originally documented, but agrees with what the
2025-09-07T06:38:50.7178140Z     actual implementation did up to rounding vagaries. An exception is raised
2025-09-07T06:38:50.7178280Z     at shape mismatch or conflicting values. In contrast to the standard usage
2025-09-07T06:38:50.7178410Z     in numpy, NaNs are compared like numbers, no assertion is raised if both
2025-09-07T06:38:50.7178480Z     objects have NaNs in the same positions.
2025-09-07T06:38:50.7178520Z     
2025-09-07T06:38:50.7178560Z     Parameters
2025-09-07T06:38:50.7178610Z     ----------
2025-09-07T06:38:50.7178650Z     x : array_like
2025-09-07T06:38:50.7178710Z         The actual object to check.
2025-09-07T06:38:50.7178750Z     y : array_like
2025-09-07T06:38:50.7178810Z         The desired, expected object.
2025-09-07T06:38:50.7178860Z     decimal : int, optional
2025-09-07T06:38:50.7178930Z         Desired precision, default is 6.
2025-09-07T06:38:50.7178980Z     err_msg : str, optional
2025-09-07T06:38:50.7179070Z       The error message to be printed in case of failure.
2025-09-07T06:38:50.7179160Z     verbose : bool, optional
2025-09-07T06:38:50.7179290Z         If True, the conflicting values are appended to the error message.
2025-09-07T06:38:50.7179330Z     
2025-09-07T06:38:50.7179370Z     Raises
2025-09-07T06:38:50.7179420Z     ------
2025-09-07T06:38:50.7179460Z     AssertionError
2025-09-07T06:38:50.7179580Z         If actual and desired are not equal up to specified precision.
2025-09-07T06:38:50.7182280Z     
2025-09-07T06:38:50.7182370Z     See Also
2025-09-07T06:38:50.7182410Z     --------
2025-09-07T06:38:50.7182550Z     assert_allclose: Compare two array_like objects for equality with desired
2025-09-07T06:38:50.7182630Z                      relative and/or absolute precision.
2025-09-07T06:38:50.7182820Z     assert_array_almost_equal_nulp, assert_array_max_ulp, assert_equal
2025-09-07T06:38:50.7182860Z     
2025-09-07T06:38:50.7182900Z     Examples
2025-09-07T06:38:50.7182940Z     --------
2025-09-07T06:38:50.7183020Z     the first assert does not raise an exception
2025-09-07T06:38:50.7183060Z     
2025-09-07T06:38:50.7183220Z     >>> np.testing.assert_array_almost_equal([1.0, 2.333, np.nan], [1.0, 2.333, np.nan])
2025-09-07T06:38:50.7183260Z     
2025-09-07T06:38:50.7183330Z     >>> np.testing.assert_array_almost_equal(
2025-09-07T06:38:50.7183420Z     ...     [1.0, 2.33333, np.nan], [1.0, 2.33339, np.nan], decimal=5
2025-09-07T06:38:50.7183460Z     ... )
2025-09-07T06:38:50.7183520Z     Traceback (most recent call last):
2025-09-07T06:38:50.7183570Z         ...
2025-09-07T06:38:50.7183610Z     AssertionError:
2025-09-07T06:38:50.7183680Z     Arrays are not almost equal to 5 decimals
2025-09-07T06:38:50.7183730Z     <BLANKLINE>
2025-09-07T06:38:50.7183790Z     Mismatched elements: 1 / 3 (33.3%)
2025-09-07T06:38:50.7183870Z     Max absolute difference: 5.999999999994898e-05
2025-09-07T06:38:50.7183940Z     Max relative difference: 2.5713661239633743e-05
2025-09-07T06:38:50.7184040Z      x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-09-07T06:38:50.7184140Z      y: torch.ndarray([1.0000, 2.3334,    nan], dtype=float64)
2025-09-07T06:38:50.7184210Z     
2025-09-07T06:38:50.7184280Z     >>> np.testing.assert_array_almost_equal(
2025-09-07T06:38:50.7184370Z     ...     [1.0, 2.33333, np.nan], [1.0, 2.33333, 5], decimal=5
2025-09-07T06:38:50.7184410Z     ... )
2025-09-07T06:38:50.7184470Z     Traceback (most recent call last):
2025-09-07T06:38:50.7184510Z         ...
2025-09-07T06:38:50.7184550Z     AssertionError:
2025-09-07T06:38:50.7184650Z     Arrays are not almost equal to 5 decimals
2025-09-07T06:38:50.7184690Z     <BLANKLINE>
2025-09-07T06:38:50.7184750Z     x and y nan location mismatch:
2025-09-07T06:38:50.7184840Z      x: torch.ndarray([1.0000, 2.3333,    nan], dtype=float64)
2025-09-07T06:38:50.7184940Z      y: torch.ndarray([1.0000, 2.3333, 5.0000], dtype=float64)
2025-09-07T06:38:50.7184980Z     
2025-09-07T06:38:50.7185020Z     
2025-09-07T06:38:50.7185170Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7185210Z     
2025-09-07T06:38:50.7185260Z       warnings.warn(msg)
2025-09-07T06:38:50.7185300Z     
2025-09-07T06:38:50.7185420Z --- Parse Warning: 30 / 146 ---
2025-09-07T06:38:50.7186110Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=clear_and_catch_warnings in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_numpy/testing/utils.py line=1848.
2025-09-07T06:38:50.7186270Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7186400Z     Context manager that resets warning registry for catching warnings
2025-09-07T06:38:50.7186440Z     
2025-09-07T06:38:50.7186580Z         Warnings can be slippery, because, whenever a warning is triggered, Python
2025-09-07T06:38:50.7186720Z         adds a ``__warningregistry__`` member to the *calling* module.  This makes
2025-09-07T06:38:50.7186880Z         it impossible to retrigger the warning in this module, whatever you put in
2025-09-07T06:38:50.7187030Z         the warnings filters.  This context manager accepts a sequence of `modules`
2025-09-07T06:38:50.7187120Z         as a keyword argument to its constructor and:
2025-09-07T06:38:50.7187160Z     
2025-09-07T06:38:50.7187290Z         * stores and removes any ``__warningregistry__`` entries in given `modules`
2025-09-07T06:38:50.7187340Z           on entry;
2025-09-07T06:38:50.7187450Z         * resets ``__warningregistry__`` to its previous state on exit.
2025-09-07T06:38:50.7187490Z     
2025-09-07T06:38:50.7187630Z         This makes it possible to trigger any warning afresh inside the context
2025-09-07T06:38:50.7187740Z         manager without disturbing the state of warnings outside.
2025-09-07T06:38:50.7187800Z     
2025-09-07T06:38:50.7187940Z         For compatibility with Python 3.0, please consider all arguments to be
2025-09-07T06:38:50.7187990Z         keyword-only.
2025-09-07T06:38:50.7188030Z     
2025-09-07T06:38:50.7188080Z         Parameters
2025-09-07T06:38:50.7188120Z         ----------
2025-09-07T06:38:50.7188180Z         record : bool, optional
2025-09-07T06:38:50.7188290Z             Specifies whether warnings should be captured by a custom
2025-09-07T06:38:50.7188430Z             implementation of ``warnings.showwarning()`` and be appended to a list
2025-09-07T06:38:50.7188560Z             returned by the context manager. Otherwise None is returned by the
2025-09-07T06:38:50.7188690Z             context manager. The objects appended to the list are arguments whose
2025-09-07T06:38:50.7188800Z             attributes mirror the arguments to ``showwarning()``.
2025-09-07T06:38:50.7188850Z         modules : sequence, optional
2025-09-07T06:38:50.7188990Z             Sequence of modules for which to reset warnings registry on entry and
2025-09-07T06:38:50.7189100Z             restore on exit. To work correctly, all 'ignore' filters should
2025-09-07T06:38:50.7189170Z             filter by one of these modules.
2025-09-07T06:38:50.7189210Z     
2025-09-07T06:38:50.7189270Z         Examples
2025-09-07T06:38:50.7189320Z         --------
2025-09-07T06:38:50.7189370Z         >>> import warnings
2025-09-07T06:38:50.7189480Z         >>> with np.testing.clear_and_catch_warnings(  # doctest: +SKIP
2025-09-07T06:38:50.7189550Z         ...     modules=[np.core.fromnumeric]
2025-09-07T06:38:50.7189590Z         ... ):
2025-09-07T06:38:50.7189680Z         ...     warnings.simplefilter("always")
2025-09-07T06:38:50.7189820Z         ...     warnings.filterwarnings("ignore", module="np.core.fromnumeric")
2025-09-07T06:38:50.7189930Z         ...     # do something that raises a warning but ignore those in
2025-09-07T06:38:50.7189990Z         ...     # np.core.fromnumeric
2025-09-07T06:38:50.7190030Z         
2025-09-07T06:38:50.7190180Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7190220Z     
2025-09-07T06:38:50.7190270Z       warnings.warn(msg)
2025-09-07T06:38:50.7190310Z     
2025-09-07T06:38:50.7190410Z --- Parse Warning: 31 / 146 ---
2025-09-07T06:38:50.7191040Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=calculate_gain in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/init.py line=142.
2025-09-07T06:38:50.7191200Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7191340Z     Return the recommended gain value for the given nonlinearity function.
2025-09-07T06:38:50.7191380Z     
2025-09-07T06:38:50.7191430Z         The values are as follows:
2025-09-07T06:38:50.7191470Z     
2025-09-07T06:38:50.7191550Z         ================= ====================================================
2025-09-07T06:38:50.7191600Z         nonlinearity      gain
2025-09-07T06:38:50.7191690Z         ================= ====================================================
2025-09-07T06:38:50.7191750Z         Linear / Identity :math:`1`
2025-09-07T06:38:50.7191810Z         Conv{1,2,3}D      :math:`1`
2025-09-07T06:38:50.7191860Z         Sigmoid           :math:`1`
2025-09-07T06:38:50.7191920Z         Tanh              :math:`\frac{5}{3}`
2025-09-07T06:38:50.7191980Z         ReLU              :math:`\sqrt{2}`
2025-09-07T06:38:50.7192100Z         Leaky Relu        :math:`\sqrt{\frac{2}{1 + \text{negative\_slope}^2}}`
2025-09-07T06:38:50.7192170Z         SELU              :math:`\frac{3}{4}`
2025-09-07T06:38:50.7192240Z         ================= ====================================================
2025-09-07T06:38:50.7192280Z     
2025-09-07T06:38:50.7192330Z         .. warning::
2025-09-07T06:38:50.7192460Z             In order to implement `Self-Normalizing Neural Networks`_ ,
2025-09-07T06:38:50.7192610Z             you should use ``nonlinearity='linear'`` instead of ``nonlinearity='selu'``.
2025-09-07T06:38:50.7192710Z             This gives the initial weights a variance of ``1 / N``,
2025-09-07T06:38:50.7192850Z             which is necessary to induce a stable fixed point in the forward pass.
2025-09-07T06:38:50.7192980Z             In contrast, the default gain for ``SELU`` sacrifices the normalization
2025-09-07T06:38:50.7193100Z             effect for more stable gradient flow in rectangular layers.
2025-09-07T06:38:50.7193140Z     
2025-09-07T06:38:50.7193180Z         Args:
2025-09-07T06:38:50.7193300Z             nonlinearity: the non-linear function (`nn.functional` name)
2025-09-07T06:38:50.7193410Z             param: optional parameter for the non-linear function
2025-09-07T06:38:50.7193450Z     
2025-09-07T06:38:50.7193490Z         Examples:
2025-09-07T06:38:50.7193560Z             >>> gain = nn.init.calculate_gain(
2025-09-07T06:38:50.7193610Z             ...     "leaky_relu", 0.2
2025-09-07T06:38:50.7193690Z             ... )  # leaky_relu with negative_slope=0.2
2025-09-07T06:38:50.7193730Z     
2025-09-07T06:38:50.7194030Z         .. _Self-Normalizing Neural Networks: https://papers.nips.cc/paper/2017/hash/5d44ee6f2c3f71b73125876103c8f6c4-Abstract.html
2025-09-07T06:38:50.7194090Z         
2025-09-07T06:38:50.7194240Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7194280Z     
2025-09-07T06:38:50.7194330Z       warnings.warn(msg)
2025-09-07T06:38:50.7194370Z     
2025-09-07T06:38:50.7194470Z --- Parse Warning: 32 / 146 ---
2025-09-07T06:38:50.7195210Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel.join in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=1766.
2025-09-07T06:38:50.7195360Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7195400Z     
2025-09-07T06:38:50.7195540Z     Context manager for training with uneven inputs across processes in DDP.
2025-09-07T06:38:50.7195580Z     
2025-09-07T06:38:50.7195720Z     This context manager will keep track of already-joined DDP processes,
2025-09-07T06:38:50.7195840Z     and "shadow" the forward and backward passes by inserting collective
2025-09-07T06:38:50.7195980Z     communication operations to match with the ones created by non-joined
2025-09-07T06:38:50.7196120Z     DDP processes. This will ensure each collective call has a corresponding
2025-09-07T06:38:50.7196250Z     call by already-joined DDP processes, preventing hangs or errors that
2025-09-07T06:38:50.7196370Z     would otherwise happen when training with uneven inputs across
2025-09-07T06:38:50.7196510Z     processes. Alternatively, if the flag ``throw_on_early_termination`` is
2025-09-07T06:38:50.7196640Z     specified to be ``True``, all trainers will throw an error once one rank
2025-09-07T06:38:50.7196760Z     runs out of inputs, allowing these errors to be caught and handled
2025-09-07T06:38:50.7196850Z     according to application logic.
2025-09-07T06:38:50.7196890Z     
2025-09-07T06:38:50.7197020Z     Once all DDP processes have joined, the context manager will broadcast
2025-09-07T06:38:50.7197150Z     the model corresponding to the last joined process to all processes to
2025-09-07T06:38:50.7197240Z     ensure the model is the same across all processes
2025-09-07T06:38:50.7197300Z     (which is guaranteed by DDP).
2025-09-07T06:38:50.7197340Z     
2025-09-07T06:38:50.7197460Z     To use this to enable training with uneven inputs across processes,
2025-09-07T06:38:50.7197590Z     simply wrap this context manager around your training loop. No further
2025-09-07T06:38:50.7197700Z     modifications to the model or data loading is required.
2025-09-07T06:38:50.7197770Z     
2025-09-07T06:38:50.7197810Z     .. warning::
2025-09-07T06:38:50.7197940Z         If the model or training loop this context manager is wrapped around
2025-09-07T06:38:50.7198050Z         has additional distributed collective operations, such as
2025-09-07T06:38:50.7198170Z         ``SyncBatchNorm`` in the model's forward pass, then the flag
2025-09-07T06:38:50.7198290Z         ``throw_on_early_termination`` must be enabled. This is because this
2025-09-07T06:38:50.7198420Z         context manager is not aware of non-DDP collective communication.
2025-09-07T06:38:50.7198520Z         This flag will cause all ranks to throw when any one rank
2025-09-07T06:38:50.7198650Z         exhausts inputs, allowing these errors to be caught and recovered
2025-09-07T06:38:50.7198710Z         from across all ranks.
2025-09-07T06:38:50.7198750Z     
2025-09-07T06:38:50.7198790Z     Args:
2025-09-07T06:38:50.7198900Z         divide_by_initial_world_size (bool): If ``True``, will divide
2025-09-07T06:38:50.7199020Z             gradients by the initial ``world_size`` DDP training was launched
2025-09-07T06:38:50.7199130Z             with. If ``False``, will compute the effective world size
2025-09-07T06:38:50.7199240Z             (number of ranks that have not depleted their inputs yet) and
2025-09-07T06:38:50.7199330Z             divide gradients by that during allreduce. Set
2025-09-07T06:38:50.7199450Z             ``divide_by_initial_world_size=True`` to ensure every input
2025-09-07T06:38:50.7199580Z             sample including the uneven inputs have equal weight in terms of
2025-09-07T06:38:50.7199680Z             how much they contribute to the global gradient. This is
2025-09-07T06:38:50.7199820Z             achieved by always dividing the gradient by the initial
2025-09-07T06:38:50.7199930Z             ``world_size`` even when we encounter uneven inputs. If you set
2025-09-07T06:38:50.7200040Z             this to ``False``, we divide the gradient by the remaining
2025-09-07T06:38:50.7200150Z             number of nodes. This ensures parity with training on a smaller
2025-09-07T06:38:50.7200270Z             ``world_size`` although it also means the uneven inputs would
2025-09-07T06:38:50.7200390Z             contribute more towards the global gradient. Typically, you
2025-09-07T06:38:50.7200500Z             would want to set this to ``True`` for cases where the last few
2025-09-07T06:38:50.7200620Z             inputs of your training job are uneven. In extreme cases, where
2025-09-07T06:38:50.7200730Z             there is a large discrepancy in the number of inputs, setting
2025-09-07T06:38:50.7200820Z             this to ``False`` might provide better results.
2025-09-07T06:38:50.7200950Z         enable (bool): Whether to enable uneven input detection or not. Pass
2025-09-07T06:38:50.7201050Z             in ``enable=False`` to disable in cases where you know that
2025-09-07T06:38:50.7201160Z             inputs are even across participating processes. Default is
2025-09-07T06:38:50.7201210Z             ``True``.
2025-09-07T06:38:50.7201320Z         throw_on_early_termination (bool): Whether to throw an error
2025-09-07T06:38:50.7201430Z             or continue training when at least one rank has exhausted
2025-09-07T06:38:50.7201560Z             inputs. If ``True``, will throw upon the first rank reaching end
2025-09-07T06:38:50.7201660Z             of data. If ``False``, will continue training with a smaller
2025-09-07T06:38:50.7201780Z             effective world size until all ranks are joined. Note that if
2025-09-07T06:38:50.7201850Z             this flag is specified, then the flag
2025-09-07T06:38:50.7201960Z             ``divide_by_initial_world_size`` would be ignored. Default
2025-09-07T06:38:50.7202010Z             is ``False``.
2025-09-07T06:38:50.7202050Z     
2025-09-07T06:38:50.7202120Z     
2025-09-07T06:38:50.7202160Z     Example::
2025-09-07T06:38:50.7202200Z     
2025-09-07T06:38:50.7202270Z         >>> # xdoctest: +SKIP("Distributed")
2025-09-07T06:38:50.7202310Z         >>> import torch
2025-09-07T06:38:50.7202410Z         >>> import torch.distributed as dist
2025-09-07T06:38:50.7202450Z         >>> import os
2025-09-07T06:38:50.7202530Z         >>> import torch.multiprocessing as mp
2025-09-07T06:38:50.7202580Z         >>> import torch.nn as nn
2025-09-07T06:38:50.7202640Z         >>> # On each spawned worker
2025-09-07T06:38:50.7202690Z         >>> def worker(rank):
2025-09-07T06:38:50.7202800Z         >>>     dist.init_process_group("nccl", rank=rank, world_size=2)
2025-09-07T06:38:50.7202870Z         >>>     torch.cuda.set_device(rank)
2025-09-07T06:38:50.7202950Z         >>>     model = nn.Linear(1, 1, bias=False).to(rank)
2025-09-07T06:38:50.7203060Z         >>>     model = torch.nn.parallel.DistributedDataParallel(
2025-09-07T06:38:50.7203150Z         >>>         model, device_ids=[rank], output_device=rank
2025-09-07T06:38:50.7203190Z         >>>     )
2025-09-07T06:38:50.7203270Z         >>>     # Rank 1 gets one more input than rank 0.
2025-09-07T06:38:50.7203380Z         >>>     inputs = [torch.tensor([1]).float() for _ in range(10 + rank)]
2025-09-07T06:38:50.7203440Z         >>>     with model.join():
2025-09-07T06:38:50.7203490Z         >>>         for _ in range(5):
2025-09-07T06:38:50.7203550Z         >>>             for inp in inputs:
2025-09-07T06:38:50.7203620Z         >>>                 loss = model(inp).sum()
2025-09-07T06:38:50.7203730Z         >>>                 loss.backward()
2025-09-07T06:38:50.7203850Z         >>>     # Without the join() API, the below synchronization will hang
2025-09-07T06:38:50.7203930Z         >>>     # blocking for rank 1's allreduce to complete.
2025-09-07T06:38:50.7204010Z         >>>     torch.cuda.synchronize(device=rank)
2025-09-07T06:38:50.7204050Z     
2025-09-07T06:38:50.7204220Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7204260Z     
2025-09-07T06:38:50.7204310Z       warnings.warn(msg)
2025-09-07T06:38:50.7204350Z     
2025-09-07T06:38:50.7204450Z --- Parse Warning: 33 / 146 ---
2025-09-07T06:38:50.7205210Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedDataParallel._register_fused_optim in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/parallel/distributed.py line=2057.
2025-09-07T06:38:50.7205370Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7205400Z     
2025-09-07T06:38:50.7205590Z     Register an optimizer in DDP to optimize parameter immediately after its gradient reduction.
2025-09-07T06:38:50.7205630Z     
2025-09-07T06:38:50.7205750Z     Registers an optimizer with DDP such that the optimization for a
2025-09-07T06:38:50.7205880Z     parameter will run immediately when that parameter's gradient is
2025-09-07T06:38:50.7206000Z     finished with reduction, instead of waiting for all parameters'
2025-09-07T06:38:50.7206130Z     gradients to finish reduction. This can result in a training speedup
2025-09-07T06:38:50.7206260Z     depending on your workload since the optimizer can run while gradient
2025-09-07T06:38:50.7206400Z     reduction for other parameters are still ongoing. In addition, this has
2025-09-07T06:38:50.7206550Z     the potential to reduce peak memory consumption during training, as it
2025-09-07T06:38:50.7206680Z     only needs to load the per-parameter optimizer states of a single
2025-09-07T06:38:50.7206800Z     parameter at a time, instead of loading all per-parameter optimizer
2025-09-07T06:38:50.7206850Z     states at once.
2025-09-07T06:38:50.7206890Z     
2025-09-07T06:38:50.7206930Z     Args:
2025-09-07T06:38:50.7207050Z         optim (Type): a ``torch.optim.Optimizer`` class to be registered
2025-09-07T06:38:50.7207110Z         as a fused optimizer.
2025-09-07T06:38:50.7207210Z         *args (Sequence[Any]): Arguments to forward to `optim`.
2025-09-07T06:38:50.7207340Z         optim_params (Optional[Iterable[torch.Tensor]]): Set of parameters
2025-09-07T06:38:50.7207490Z         to optimize, similar to `params` argument of traditional `torch.optim`
2025-09-07T06:38:50.7207610Z         Optimizers. If this is omitted, all DDP model parameters will be
2025-09-07T06:38:50.7207660Z         optimized.
2025-09-07T06:38:50.7207780Z         **kwargs: (Dict[str, Any]): Keyword arguments to forward to `optim`.
2025-09-07T06:38:50.7207820Z     
2025-09-07T06:38:50.7207860Z     .. warning ::
2025-09-07T06:38:50.7207990Z         _register_fused_optim should only be called once on a DDP instance,
2025-09-07T06:38:50.7208120Z         and registering multiple fused optimizers for the same DDP model
2025-09-07T06:38:50.7208200Z         is not currently supported. Please ping
2025-09-07T06:38:50.7208330Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-09-07T06:38:50.7208380Z         for your use case.
2025-09-07T06:38:50.7208420Z     
2025-09-07T06:38:50.7208470Z     .. warning ::
2025-09-07T06:38:50.7208580Z         _register_fused_optim and register_comm_hook currently do not
2025-09-07T06:38:50.7208710Z         compose together, meaning that custom DDP communication hooks are
2025-09-07T06:38:50.7208820Z         not supported with overlapped optimizers. Please ping
2025-09-07T06:38:50.7208950Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-09-07T06:38:50.7209020Z         for your use case.
2025-09-07T06:38:50.7209060Z     
2025-09-07T06:38:50.7209110Z     .. warning ::
2025-09-07T06:38:50.7209240Z         Gradient accumulation and DDP `no_sync` are currently not supported
2025-09-07T06:38:50.7209310Z         with overlapped optimizer. Please ping
2025-09-07T06:38:50.7209470Z         https://github.com/pytorch/pytorch/issues/71595 if this is necessary
2025-09-07T06:38:50.7209520Z         for your use case.
2025-09-07T06:38:50.7209550Z     
2025-09-07T06:38:50.7209600Z     Example::
2025-09-07T06:38:50.7209640Z     
2025-09-07T06:38:50.7209720Z         >>> # xdoctest: +SKIP("No rendezvous handler")
2025-09-07T06:38:50.7209900Z         >>> torch.distributed.init_process_group(backend='nccl', world_size=4, init_method='...')
2025-09-07T06:38:50.7210020Z         >>> net = torch.nn.parallel.DistributedDataParallel(model, pg)
2025-09-07T06:38:50.7210070Z         >>> lr = 1e-2
2025-09-07T06:38:50.7210120Z         >>> betas = (0.9, 0.99)
2025-09-07T06:38:50.7210160Z         >>> eps = 1e-6
2025-09-07T06:38:50.7210300Z         >>> net._register_fused_optim(torch.optim.Adam, lr, betas=betas, eps=eps)
2025-09-07T06:38:50.7210370Z         >>> # Example with subset of parameters
2025-09-07T06:38:50.7210450Z         >>> params_to_opt = [list(net.parameters())[0]]
2025-09-07T06:38:50.7210510Z         >>> net._register_fused_optim(
2025-09-07T06:38:50.7210650Z         ...   torch.optim.Adam, lr, optim_params=params_to_opt,  betas=betas, eps=eps
2025-09-07T06:38:50.7210690Z         ... )
2025-09-07T06:38:50.7210730Z     
2025-09-07T06:38:50.7210880Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7210920Z     
2025-09-07T06:38:50.7210970Z       warnings.warn(msg)
2025-09-07T06:38:50.7211010Z     
2025-09-07T06:38:50.7211110Z --- Parse Warning: 34 / 146 ---
2025-09-07T06:38:50.7211820Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_parametrization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/parametrize.py line=424.
2025-09-07T06:38:50.7211980Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7212070Z     Register a parametrization to a tensor in a module.
2025-09-07T06:38:50.7212110Z     
2025-09-07T06:38:50.7212280Z         Assume that ``tensor_name="weight"`` for simplicity. When accessing ``module.weight``,
2025-09-07T06:38:50.7212450Z         the module will return the parametrized version ``parametrization(module.weight)``.
2025-09-07T06:38:50.7212720Z         If the original tensor requires a gradient, the backward pass will differentiate
2025-09-07T06:38:50.7212890Z         through :attr:`parametrization`, and the optimizer will update the tensor accordingly.
2025-09-07T06:38:50.7212930Z     
2025-09-07T06:38:50.7213120Z         The first time that a module registers a parametrization, this function will add an attribute
2025-09-07T06:38:50.7213270Z         ``parametrizations`` to the module of type :class:`~ParametrizationList`.
2025-09-07T06:38:50.7213310Z     
2025-09-07T06:38:50.7213460Z         The list of parametrizations on the tensor ``weight`` will be accessible under
2025-09-07T06:38:50.7213540Z         ``module.parametrizations.weight``.
2025-09-07T06:38:50.7213580Z     
2025-09-07T06:38:50.7213660Z         The original tensor will be accessible under
2025-09-07T06:38:50.7213750Z         ``module.parametrizations.weight.original``.
2025-09-07T06:38:50.7213790Z     
2025-09-07T06:38:50.7213950Z         Parametrizations may be concatenated by registering several parametrizations
2025-09-07T06:38:50.7214000Z         on the same attribute.
2025-09-07T06:38:50.7214040Z     
2025-09-07T06:38:50.7214190Z         The training mode of a registered parametrization is updated on registration
2025-09-07T06:38:50.7214270Z         to match the training mode of the host module
2025-09-07T06:38:50.7214330Z     
2025-09-07T06:38:50.7214520Z         Parametrized parameters and buffers have an inbuilt caching system that can be activated
2025-09-07T06:38:50.7214590Z         using the context manager :func:`cached`.
2025-09-07T06:38:50.7214630Z     
2025-09-07T06:38:50.7214780Z         A :attr:`parametrization` may optionally implement a method with signature
2025-09-07T06:38:50.7214830Z     
2025-09-07T06:38:50.7214890Z         .. code-block:: python
2025-09-07T06:38:50.7214930Z     
2025-09-07T06:38:50.7215060Z             def right_inverse(self, X: Tensor) -> Union[Tensor, Sequence[Tensor]]
2025-09-07T06:38:50.7215100Z     
2025-09-07T06:38:50.7215260Z         This method is called on the unparametrized tensor when the first parametrization
2025-09-07T06:38:50.7215390Z         is registered to compute the initial value of the original tensor.
2025-09-07T06:38:50.7215570Z         If this method is not implemented, the original tensor will be just the unparametrized tensor.
2025-09-07T06:38:50.7215610Z     
2025-09-07T06:38:50.7215800Z         If all the parametrizations registered on a tensor implement `right_inverse` it is possible
2025-09-07T06:38:50.7215970Z         to initialize a parametrized tensor by assigning to it, as shown in the example below.
2025-09-07T06:38:50.7216010Z     
2025-09-07T06:38:50.7216150Z         It is possible for the first parametrization to depend on several inputs.
2025-09-07T06:38:50.7216290Z         This may be implemented returning a tuple of tensors from ``right_inverse``
2025-09-07T06:38:50.7216440Z         (see the example implementation of a ``RankOne`` parametrization below).
2025-09-07T06:38:50.7216480Z     
2025-09-07T06:38:50.7216680Z         In this case, the unconstrained tensors are also located under ``module.parametrizations.weight``
2025-09-07T06:38:50.7216750Z         with names ``original0``, ``original1``,...
2025-09-07T06:38:50.7216850Z     
2025-09-07T06:38:50.7216890Z         .. note::
2025-09-07T06:38:50.7216930Z     
2025-09-07T06:38:50.7217090Z             If unsafe=False (default) both the forward and right_inverse methods will be called
2025-09-07T06:38:50.7217180Z             once to perform a number of consistency checks.
2025-09-07T06:38:50.7217340Z             If unsafe=True, then right_inverse will be called if the tensor is not parametrized,
2025-09-07T06:38:50.7217410Z             and nothing will be called otherwise.
2025-09-07T06:38:50.7217460Z     
2025-09-07T06:38:50.7217500Z         .. note::
2025-09-07T06:38:50.7217540Z     
2025-09-07T06:38:50.7217660Z             In most situations, ``right_inverse`` will be a function such that
2025-09-07T06:38:50.7217760Z             ``forward(right_inverse(X)) == X`` (see
2025-09-07T06:38:50.7217930Z             `right inverse <https://en.wikipedia.org/wiki/Inverse_function#Right_inverses>`_).
2025-09-07T06:38:50.7218080Z             Sometimes, when the parametrization is not surjective, it may be reasonable
2025-09-07T06:38:50.7218130Z             to relax this.
2025-09-07T06:38:50.7218170Z     
2025-09-07T06:38:50.7218220Z         .. warning::
2025-09-07T06:38:50.7218260Z     
2025-09-07T06:38:50.7218420Z             If a parametrization depends on several inputs, :func:`~register_parametrization`
2025-09-07T06:38:50.7218580Z             will register a number of new parameters. If such parametrization is registered
2025-09-07T06:38:50.7218740Z             after the optimizer is created, these new parameters will need to be added manually
2025-09-07T06:38:50.7218860Z             to the optimizer. See :meth:`torch.Optimizer.add_param_group`.
2025-09-07T06:38:50.7218900Z     
2025-09-07T06:38:50.7218940Z         Args:
2025-09-07T06:38:50.7219080Z             module (nn.Module): module on which to register the parametrization
2025-09-07T06:38:50.7219210Z             tensor_name (str): name of the parameter or buffer on which to register
2025-09-07T06:38:50.7219270Z                 the parametrization
2025-09-07T06:38:50.7219390Z             parametrization (nn.Module): the parametrization to register
2025-09-07T06:38:50.7219460Z         Keyword args:
2025-09-07T06:38:50.7219590Z             unsafe (bool): a boolean flag that denotes whether the parametrization
2025-09-07T06:38:50.7219710Z                 may change the dtype and shape of the tensor. Default: `False`
2025-09-07T06:38:50.7219890Z                 Warning: the parametrization is not checked for consistency upon registration.
2025-09-07T06:38:50.7219970Z                 Enable this flag at your own risk.
2025-09-07T06:38:50.7220010Z     
2025-09-07T06:38:50.7220050Z         Raises:
2025-09-07T06:38:50.7220220Z             ValueError: if the module does not have a parameter or a buffer named :attr:`tensor_name`
2025-09-07T06:38:50.7220260Z     
2025-09-07T06:38:50.7220300Z         Examples:
2025-09-07T06:38:50.7220390Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-09-07T06:38:50.7220450Z             >>> import torch
2025-09-07T06:38:50.7220510Z             >>> import torch.nn as nn
2025-09-07T06:38:50.7220590Z             >>> import torch.nn.utils.parametrize as P
2025-09-07T06:38:50.7220630Z             >>>
2025-09-07T06:38:50.7220700Z             >>> class Symmetric(nn.Module):
2025-09-07T06:38:50.7220750Z             >>>     def forward(self, X):
2025-09-07T06:38:50.7220870Z             >>>         return X.triu() + X.triu(1).T  # Return a symmetric matrix
2025-09-07T06:38:50.7220910Z             >>>
2025-09-07T06:38:50.7220980Z             >>>     def right_inverse(self, A):
2025-09-07T06:38:50.7221030Z             >>>         return A.triu()
2025-09-07T06:38:50.7221070Z             >>>
2025-09-07T06:38:50.7221120Z             >>> m = nn.Linear(5, 5)
2025-09-07T06:38:50.7221230Z             >>> P.register_parametrization(m, "weight", Symmetric())
2025-09-07T06:38:50.7221370Z             >>> print(torch.allclose(m.weight, m.weight.T))  # m.weight is now symmetric
2025-09-07T06:38:50.7221440Z             True
2025-09-07T06:38:50.7221490Z             >>> A = torch.rand(5, 5)
2025-09-07T06:38:50.7221560Z             >>> A = A + A.T  # A is now symmetric
2025-09-07T06:38:50.7221690Z             >>> m.weight = A  # Initialize the weight to be the symmetric matrix A
2025-09-07T06:38:50.7221760Z             >>> print(torch.allclose(m.weight, A))
2025-09-07T06:38:50.7221800Z             True
2025-09-07T06:38:50.7221840Z     
2025-09-07T06:38:50.7221900Z             >>> class RankOne(nn.Module):
2025-09-07T06:38:50.7221960Z             >>>     def forward(self, x, y):
2025-09-07T06:38:50.7222050Z             >>> # Form a rank 1 matrix multiplying two vectors
2025-09-07T06:38:50.7222130Z             >>>         return x.unsqueeze(-1) @ y.unsqueeze(-2)
2025-09-07T06:38:50.7222190Z             >>>
2025-09-07T06:38:50.7222260Z             >>>     def right_inverse(self, Z):
2025-09-07T06:38:50.7222340Z             >>> # Project Z onto the rank 1 matrices
2025-09-07T06:38:50.7222430Z             >>>         U, S, Vh = torch.linalg.svd(Z, full_matrices=False)
2025-09-07T06:38:50.7222500Z             >>> # Return rescaled singular vectors
2025-09-07T06:38:50.7222580Z             >>>         s0_sqrt = S[0].sqrt().unsqueeze(-1)
2025-09-07T06:38:50.7222670Z             >>>         return U[..., :, 0] * s0_sqrt, Vh[..., 0, :] * s0_sqrt
2025-09-07T06:38:50.7222720Z             >>>
2025-09-07T06:38:50.7222810Z             >>> linear_rank_one = P.register_parametrization(
2025-09-07T06:38:50.7222880Z             ...     nn.Linear(4, 4), "weight", RankOne()
2025-09-07T06:38:50.7222920Z             ... )
2025-09-07T06:38:50.7223050Z             >>> print(torch.linalg.matrix_rank(linear_rank_one.weight).item())
2025-09-07T06:38:50.7223090Z             1
2025-09-07T06:38:50.7223130Z     
2025-09-07T06:38:50.7223170Z         
2025-09-07T06:38:50.7223320Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7223360Z     
2025-09-07T06:38:50.7223410Z       warnings.warn(msg)
2025-09-07T06:38:50.7223450Z     
2025-09-07T06:38:50.7223550Z --- Parse Warning: 35 / 146 ---
2025-09-07T06:38:50.7224300Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv2d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=14.
2025-09-07T06:38:50.7224470Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7224610Z     Convert ``memory_format`` of ``nn.Conv2d.weight`` to ``memory_format``.
2025-09-07T06:38:50.7224650Z     
2025-09-07T06:38:50.7224810Z         The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-09-07T06:38:50.7224980Z         Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-09-07T06:38:50.7225130Z         This function is used to facilitate the computation to adopt NHWC kernels, which
2025-09-07T06:38:50.7225310Z         provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-09-07T06:38:50.7225360Z     
2025-09-07T06:38:50.7225400Z         .. note::
2025-09-07T06:38:50.7225550Z             Calling ``model.to(memory_format=torch.channels_last)`` is more aggressive
2025-09-07T06:38:50.7225680Z             than the utility function ``convert_conv2d_weight_memory_format``. Any
2025-09-07T06:38:50.7225810Z             layer with 4d weight will be affected by ``model.to``, which does not
2025-09-07T06:38:50.7225940Z             necessarily benefit from conversion to specified ``memory_format``.
2025-09-07T06:38:50.7226080Z             One place we are confident in is that NHWC(channels_last) conversion for
2025-09-07T06:38:50.7226210Z             convolution in cuDNN, as it is beneficial to run convolution in NHWC,
2025-09-07T06:38:50.7226330Z             even in cases where we have to apply permutation to input tensors.
2025-09-07T06:38:50.7226390Z     
2025-09-07T06:38:50.7226520Z             Hence our strategy here is to convert only the weight of convolution to
2025-09-07T06:38:50.7226600Z             channels_last. This ensures that;
2025-09-07T06:38:50.7226730Z             1. Fast convolution kernels will be used, the benefit of which could
2025-09-07T06:38:50.7226870Z             outweigh overhead of permutation (if input is not in the same format).
2025-09-07T06:38:50.7227010Z             2. No unnecessary permutations are applied on layers that do not benefit
2025-09-07T06:38:50.7227070Z             from memory_format conversion.
2025-09-07T06:38:50.7227110Z     
2025-09-07T06:38:50.7227240Z             The optimal case is that, layers between convolution layers are channels
2025-09-07T06:38:50.7227400Z             last compatible. Input tensor would be permuted to channels last when it
2025-09-07T06:38:50.7227540Z             encounters the first convolution layer and stay in that memory format.
2025-09-07T06:38:50.7227680Z             Hence following convolutions will not need to permute its input tensor.
2025-09-07T06:38:50.7227730Z     
2025-09-07T06:38:50.7227860Z             In case where a channels last incompatible layer is between convolution
2025-09-07T06:38:50.7227990Z             layers, we need to permute the input tensor back to contiguous format
2025-09-07T06:38:50.7228120Z             for that layer. The input tensor will go through the remaining layers in
2025-09-07T06:38:50.7228250Z             contiguous format and be permuted to channels last when it encounters
2025-09-07T06:38:50.7228380Z             another convolution layer. There's no point in propagating that
2025-09-07T06:38:50.7228510Z             permutation to an earlier layer, as most layers are quite agnostic to
2025-09-07T06:38:50.7228560Z             ``memory_format``.
2025-09-07T06:38:50.7228600Z     
2025-09-07T06:38:50.7228740Z             This claim might change when PyTorch supports fusion of permutation, as
2025-09-07T06:38:50.7228870Z             there might have been a better spot to fuse the permutation other than
2025-09-07T06:38:50.7228970Z             immediately before a convolution.
2025-09-07T06:38:50.7229010Z     
2025-09-07T06:38:50.7229050Z         Args:
2025-09-07T06:38:50.7229180Z             module (nn.Module): ``nn.Conv2d`` & ``nn.ConvTranspose2d`` or container
2025-09-07T06:38:50.7229240Z                                 ``nn.Module``
2025-09-07T06:38:50.7229350Z             memory_format: user specified ``memory_format``,
2025-09-07T06:38:50.7229460Z                 e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-09-07T06:38:50.7229500Z     
2025-09-07T06:38:50.7229550Z         Returns:
2025-09-07T06:38:50.7229630Z             The original module with updated ``nn.Conv2d``
2025-09-07T06:38:50.7229670Z     
2025-09-07T06:38:50.7229710Z         Example:
2025-09-07T06:38:50.7229800Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-09-07T06:38:50.7229890Z             >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-09-07T06:38:50.7229950Z             >>> input = torch.randint(
2025-09-07T06:38:50.7230050Z             ...     1, 10, (2, 8, 4, 4), dtype=torch.float16, device="cuda"
2025-09-07T06:38:50.7230090Z             ... )
2025-09-07T06:38:50.7230150Z             >>> model = nn.Sequential(
2025-09-07T06:38:50.7230220Z             >>>     nn.Conv2d(8, 4, 3)).cuda().half()
2025-09-07T06:38:50.7230280Z             >>> # This is identical to:
2025-09-07T06:38:50.7230420Z             >>> # nn.utils.convert_conv2d_weight_memory_format(model, torch.channels_last)
2025-09-07T06:38:50.7230530Z             >>> model = nn.utils.convert_conv2d_weight_memory_format(
2025-09-07T06:38:50.7230590Z             ...     model, torch.channels_last
2025-09-07T06:38:50.7230640Z             ... )
2025-09-07T06:38:50.7230690Z             >>> out = model(input)
2025-09-07T06:38:50.7230730Z         
2025-09-07T06:38:50.7230880Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7230940Z     
2025-09-07T06:38:50.7230990Z       warnings.warn(msg)
2025-09-07T06:38:50.7231030Z     
2025-09-07T06:38:50.7231130Z --- Parse Warning: 36 / 146 ---
2025-09-07T06:38:50.7231850Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=convert_conv3d_weight_memory_format in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/memory_format.py line=93.
2025-09-07T06:38:50.7232000Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7232130Z     Convert ``memory_format`` of ``nn.Conv3d.weight`` to ``memory_format``
2025-09-07T06:38:50.7232320Z         The conversion recursively applies to nested ``nn.Module``, including ``module``.
2025-09-07T06:38:50.7232480Z         Note that it only changes the memory_format, but not the semantics of each dimensions.
2025-09-07T06:38:50.7232630Z         This function is used to facilitate the computation to adopt NHWC kernels, which
2025-09-07T06:38:50.7232820Z         provides considerable speed up for fp16 data on CUDA devices with compute capability >= 7.0
2025-09-07T06:38:50.7232860Z     
2025-09-07T06:38:50.7232900Z         .. note::
2025-09-07T06:38:50.7233050Z             Calling ``model.to(memory_format=torch.channels_last_3d)`` is more aggressive
2025-09-07T06:38:50.7233190Z             than the utility function ``convert_conv3d_weight_memory_format``. Any
2025-09-07T06:38:50.7233310Z             layer with 4d weight will be affected by ``model.to``, which does not
2025-09-07T06:38:50.7233450Z             necessarily benefit from conversion to specified ``memory_format``.
2025-09-07T06:38:50.7233590Z             One place we are confident in is that NDHWC(channels_last_3d) conversion for
2025-09-07T06:38:50.7233720Z             convolution in cuDNN, as it is beneficial to run convolution in NDHWC,
2025-09-07T06:38:50.7233850Z             even in cases where we have to apply permutation to input tensors.
2025-09-07T06:38:50.7233910Z     
2025-09-07T06:38:50.7234040Z             Hence our strategy here is to convert only the weight of convolution to
2025-09-07T06:38:50.7236900Z             channels_last_3d. This ensures that;
2025-09-07T06:38:50.7237040Z             1. Fast convolution kernels will be used, the benefit of which could
2025-09-07T06:38:50.7237250Z             outweigh overhead of permutation (if input is not in the same format).
2025-09-07T06:38:50.7237400Z             2. No unnecessary permutations are applied on layers that do not benefit
2025-09-07T06:38:50.7237460Z             from memory_format conversion.
2025-09-07T06:38:50.7237500Z     
2025-09-07T06:38:50.7237640Z             The optimal case is that, layers between convolution layers are channels
2025-09-07T06:38:50.7237780Z             last compatible. Input tensor would be permuted to channels last when it
2025-09-07T06:38:50.7237920Z             encounters the first convolution layer and stay in that memory format.
2025-09-07T06:38:50.7238060Z             Hence following convolutions will not need to permute its input tensor.
2025-09-07T06:38:50.7238100Z     
2025-09-07T06:38:50.7238230Z             In case where a channels last incompatible layer is between convolution
2025-09-07T06:38:50.7238360Z             layers, we need to permute the input tensor back to contiguous format
2025-09-07T06:38:50.7238490Z             for that layer. The input tensor will go through the remaining layers in
2025-09-07T06:38:50.7238630Z             contiguous format and be permuted to channels last when it encounters
2025-09-07T06:38:50.7238750Z             another convolution layer. There's no point in propagating that
2025-09-07T06:38:50.7238880Z             permutation to an earlier layer, as most layers are quite agnostic to
2025-09-07T06:38:50.7238940Z             ``memory_format``.
2025-09-07T06:38:50.7238980Z     
2025-09-07T06:38:50.7239150Z             This claim might change when PyTorch supports fusion of permutation, as
2025-09-07T06:38:50.7239280Z             there might have been a better spot to fuse the permutation other than
2025-09-07T06:38:50.7239350Z             immediately before a convolution.
2025-09-07T06:38:50.7239390Z     
2025-09-07T06:38:50.7239430Z         Args:
2025-09-07T06:38:50.7239560Z             module (nn.Module): ``nn.Conv3d`` & ``nn.ConvTranspose3d`` or container
2025-09-07T06:38:50.7239630Z                                 ``nn.Module``
2025-09-07T06:38:50.7239720Z             memory_format: user specified ``memory_format``,
2025-09-07T06:38:50.7239830Z                 e.g. ``torch.channels_last`` or ``torch.contiguous_format``
2025-09-07T06:38:50.7239870Z     
2025-09-07T06:38:50.7239940Z         Returns:
2025-09-07T06:38:50.7240030Z             The original module with updated ``nn.Conv3d``
2025-09-07T06:38:50.7240070Z     
2025-09-07T06:38:50.7240110Z         Example:
2025-09-07T06:38:50.7240200Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-09-07T06:38:50.7240290Z             >>> # xdoctest: +REQUIRES(env:CUBLAS_WORKSPACE_CONFIG)
2025-09-07T06:38:50.7240350Z             >>> input = torch.randint(
2025-09-07T06:38:50.7240450Z             ...     1, 10, (2, 8, 4, 4, 4), dtype=torch.float16, device="cuda"
2025-09-07T06:38:50.7240490Z             ... )
2025-09-07T06:38:50.7240550Z             >>> model = nn.Sequential(
2025-09-07T06:38:50.7240620Z             >>>     nn.Conv3d(8, 4, 3)).cuda().half()
2025-09-07T06:38:50.7240670Z             >>> # This is identical to:
2025-09-07T06:38:50.7240830Z             >>> # nn.utils.convert_conv3d_weight_memory_format(model, torch.channels_last_3d)
2025-09-07T06:38:50.7240930Z             >>> model = nn.utils.convert_conv3d_weight_memory_format(
2025-09-07T06:38:50.7241000Z             ...     model, torch.channels_last_3d
2025-09-07T06:38:50.7241040Z             ... )
2025-09-07T06:38:50.7241090Z             >>> out = model(input)
2025-09-07T06:38:50.7241140Z         
2025-09-07T06:38:50.7241290Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7241350Z     
2025-09-07T06:38:50.7241400Z       warnings.warn(msg)
2025-09-07T06:38:50.7241440Z     
2025-09-07T06:38:50.7241550Z --- Parse Warning: 37 / 146 ---
2025-09-07T06:38:50.7242230Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ln_structured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py line=979.
2025-09-07T06:38:50.7242390Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7242570Z     Prune tensor by removing channels with the lowest L\ ``n``-norm along the specified dimension.
2025-09-07T06:38:50.7242610Z     
2025-09-07T06:38:50.7242750Z         Prunes tensor corresponding to parameter called ``name`` in ``module``
2025-09-07T06:38:50.7242890Z         by removing the specified ``amount`` of (currently unpruned) channels
2025-09-07T06:38:50.7242990Z         along the specified ``dim`` with the lowest L\ ``n``-norm.
2025-09-07T06:38:50.7243110Z         Modifies module in place (and also return the modified module)
2025-09-07T06:38:50.7243150Z         by:
2025-09-07T06:38:50.7243190Z     
2025-09-07T06:38:50.7243320Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-09-07T06:38:50.7243450Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-09-07T06:38:50.7243580Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-09-07T06:38:50.7243710Z            original (unpruned) parameter is stored in a new parameter named
2025-09-07T06:38:50.7243760Z            ``name+'_orig'``.
2025-09-07T06:38:50.7243810Z     
2025-09-07T06:38:50.7243850Z         Args:
2025-09-07T06:38:50.7243960Z             module (nn.Module): module containing the tensor to prune
2025-09-07T06:38:50.7244120Z             name (str): parameter name within ``module`` on which pruning
2025-09-07T06:38:50.7244170Z                     will act.
2025-09-07T06:38:50.7244280Z             amount (int or float): quantity of parameters to prune.
2025-09-07T06:38:50.7244390Z                 If ``float``, should be between 0.0 and 1.0 and represent the
2025-09-07T06:38:50.7244520Z                 fraction of parameters to prune. If ``int``, it represents the
2025-09-07T06:38:50.7244610Z                 absolute number of parameters to prune.
2025-09-07T06:38:50.7244730Z             n (int, float, inf, -inf, 'fro', 'nuc'): See documentation of valid
2025-09-07T06:38:50.7244830Z                 entries for argument ``p`` in :func:`torch.norm`.
2025-09-07T06:38:50.7244980Z             dim (int): index of the dim along which we define channels to prune.
2025-09-07T06:38:50.7245130Z             importance_scores (torch.Tensor): tensor of importance scores (of same
2025-09-07T06:38:50.7245250Z                 shape as module parameter) used to compute mask for pruning.
2025-09-07T06:38:50.7245390Z                 The values in this tensor indicate the importance of the corresponding
2025-09-07T06:38:50.7245470Z                 elements in the parameter being pruned.
2025-09-07T06:38:50.7245620Z                 If unspecified or None, the module parameter will be used in its place.
2025-09-07T06:38:50.7245660Z     
2025-09-07T06:38:50.7245700Z         Returns:
2025-09-07T06:38:50.7245840Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-09-07T06:38:50.7245880Z     
2025-09-07T06:38:50.7245930Z         Examples:
2025-09-07T06:38:50.7246000Z             >>> from torch.nn.utils import prune
2025-09-07T06:38:50.7246060Z             >>> m = prune.ln_structured(
2025-09-07T06:38:50.7246180Z             ...     nn.Conv2d(5, 3, 2), "weight", amount=0.3, dim=1, n=float("-inf")
2025-09-07T06:38:50.7246220Z             ... )
2025-09-07T06:38:50.7246270Z         
2025-09-07T06:38:50.7246420Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7246520Z     
2025-09-07T06:38:50.7246570Z       warnings.warn(msg)
2025-09-07T06:38:50.7246610Z     
2025-09-07T06:38:50.7246710Z --- Parse Warning: 38 / 146 ---
2025-09-07T06:38:50.7247390Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=global_unstructured in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1026.
2025-09-07T06:38:50.7247550Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7247590Z     
2025-09-07T06:38:50.7247850Z     Globally prunes tensors corresponding to all parameters in ``parameters`` by applying the specified ``pruning_method``.
2025-09-07T06:38:50.7247890Z     
2025-09-07T06:38:50.7247950Z     Modifies modules in place by:
2025-09-07T06:38:50.7247990Z     
2025-09-07T06:38:50.7248120Z     1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-09-07T06:38:50.7248250Z        binary mask applied to the parameter ``name`` by the pruning method.
2025-09-07T06:38:50.7248380Z     2) replacing the parameter ``name`` by its pruned version, while the
2025-09-07T06:38:50.7248500Z        original (unpruned) parameter is stored in a new parameter named
2025-09-07T06:38:50.7248550Z        ``name+'_orig'``.
2025-09-07T06:38:50.7248590Z     
2025-09-07T06:38:50.7248630Z     Args:
2025-09-07T06:38:50.7248750Z         parameters (Iterable of (module, name) tuples): parameters of
2025-09-07T06:38:50.7248870Z             the model to prune in a global fashion, i.e. by aggregating all
2025-09-07T06:38:50.7249000Z             weights prior to deciding which ones to prune. module must be of
2025-09-07T06:38:50.7249090Z             type :class:`nn.Module`, and name must be a string.
2025-09-07T06:38:50.7249250Z         pruning_method (function): a valid pruning function from this module,
2025-09-07T06:38:50.7249360Z             or a custom one implemented by the user that satisfies the
2025-09-07T06:38:50.7249500Z             implementation guidelines and has ``PRUNING_TYPE='unstructured'``.
2025-09-07T06:38:50.7249630Z         importance_scores (dict): a dictionary mapping (module, name) tuples to
2025-09-07T06:38:50.7249770Z             the corresponding parameter's importance scores tensor. The tensor
2025-09-07T06:38:50.7249890Z             should be the same shape as the parameter, and is used for computing
2025-09-07T06:38:50.7249950Z             mask for pruning.
2025-09-07T06:38:50.7250070Z             If unspecified or None, the parameter will be used in place of its
2025-09-07T06:38:50.7250150Z             importance scores.
2025-09-07T06:38:50.7250220Z         kwargs: other keyword arguments such as:
2025-09-07T06:38:50.7250350Z             amount (int or float): quantity of parameters to prune across the
2025-09-07T06:38:50.7250400Z             specified parameters.
2025-09-07T06:38:50.7250510Z             If ``float``, should be between 0.0 and 1.0 and represent the
2025-09-07T06:38:50.7250630Z             fraction of parameters to prune. If ``int``, it represents the
2025-09-07T06:38:50.7250710Z             absolute number of parameters to prune.
2025-09-07T06:38:50.7250750Z     
2025-09-07T06:38:50.7250790Z     Raises:
2025-09-07T06:38:50.7250880Z         TypeError: if ``PRUNING_TYPE != 'unstructured'``
2025-09-07T06:38:50.7250920Z     
2025-09-07T06:38:50.7250960Z     Note:
2025-09-07T06:38:50.7251090Z         Since global structured pruning doesn't make much sense unless the
2025-09-07T06:38:50.7251210Z         norm is normalized by the size of the parameter, we now limit the
2025-09-07T06:38:50.7251300Z         scope of global pruning to unstructured methods.
2025-09-07T06:38:50.7251340Z     
2025-09-07T06:38:50.7251380Z     Examples:
2025-09-07T06:38:50.7251450Z         >>> from torch.nn.utils import prune
2025-09-07T06:38:50.7251520Z         >>> from collections import OrderedDict
2025-09-07T06:38:50.7251580Z         >>> net = nn.Sequential(
2025-09-07T06:38:50.7251650Z         ...     OrderedDict(
2025-09-07T06:38:50.7251700Z         ...         [
2025-09-07T06:38:50.7251770Z         ...             ("first", nn.Linear(10, 4)),
2025-09-07T06:38:50.7251840Z         ...             ("second", nn.Linear(4, 1)),
2025-09-07T06:38:50.7251880Z         ...         ]
2025-09-07T06:38:50.7251920Z         ...     )
2025-09-07T06:38:50.7251980Z         ... )
2025-09-07T06:38:50.7252040Z         >>> parameters_to_prune = (
2025-09-07T06:38:50.7252100Z         ...     (net.first, "weight"),
2025-09-07T06:38:50.7252160Z         ...     (net.second, "weight"),
2025-09-07T06:38:50.7252200Z         ... )
2025-09-07T06:38:50.7252260Z         >>> prune.global_unstructured(
2025-09-07T06:38:50.7252320Z         ...     parameters_to_prune,
2025-09-07T06:38:50.7252400Z         ...     pruning_method=prune.L1Unstructured,
2025-09-07T06:38:50.7252450Z         ...     amount=10,
2025-09-07T06:38:50.7252490Z         ... )
2025-09-07T06:38:50.7252620Z         >>> print(sum(torch.nn.utils.parameters_to_vector(net.buffers()) == 0))
2025-09-07T06:38:50.7252670Z         tensor(10)
2025-09-07T06:38:50.7252710Z     
2025-09-07T06:38:50.7252750Z     
2025-09-07T06:38:50.7252900Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7252940Z     
2025-09-07T06:38:50.7252990Z       warnings.warn(msg)
2025-09-07T06:38:50.7253030Z     
2025-09-07T06:38:50.7253130Z --- Parse Warning: 39 / 146 ---
2025-09-07T06:38:50.7253780Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=custom_from_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/prune.py line=1149.
2025-09-07T06:38:50.7253940Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7254190Z     Prune tensor corresponding to parameter called ``name`` in ``module`` by applying the pre-computed mask in ``mask``.
2025-09-07T06:38:50.7254230Z     
2025-09-07T06:38:50.7254360Z         Modifies module in place (and also return the modified module) by:
2025-09-07T06:38:50.7254400Z     
2025-09-07T06:38:50.7254530Z         1) adding a named buffer called ``name+'_mask'`` corresponding to the
2025-09-07T06:38:50.7254660Z            binary mask applied to the parameter ``name`` by the pruning method.
2025-09-07T06:38:50.7254780Z         2) replacing the parameter ``name`` by its pruned version, while the
2025-09-07T06:38:50.7254910Z            original (unpruned) parameter is stored in a new parameter named
2025-09-07T06:38:50.7254980Z            ``name+'_orig'``.
2025-09-07T06:38:50.7255020Z     
2025-09-07T06:38:50.7255060Z         Args:
2025-09-07T06:38:50.7255170Z             module (nn.Module): module containing the tensor to prune
2025-09-07T06:38:50.7255280Z             name (str): parameter name within ``module`` on which pruning
2025-09-07T06:38:50.7255330Z                 will act.
2025-09-07T06:38:50.7255440Z             mask (Tensor): binary mask to be applied to the parameter.
2025-09-07T06:38:50.7255480Z     
2025-09-07T06:38:50.7255520Z         Returns:
2025-09-07T06:38:50.7255660Z             module (nn.Module): modified (i.e. pruned) version of the input module
2025-09-07T06:38:50.7255690Z     
2025-09-07T06:38:50.7255740Z         Examples:
2025-09-07T06:38:50.7255810Z             >>> from torch.nn.utils import prune
2025-09-07T06:38:50.7255870Z             >>> m = prune.custom_from_mask(
2025-09-07T06:38:50.7255980Z             ...     nn.Linear(5, 3), name="bias", mask=torch.tensor([0, 1, 0])
2025-09-07T06:38:50.7256020Z             ... )
2025-09-07T06:38:50.7256070Z             >>> print(m.bias_mask)
2025-09-07T06:38:50.7256120Z             tensor([0., 1., 0.])
2025-09-07T06:38:50.7256160Z     
2025-09-07T06:38:50.7256200Z         
2025-09-07T06:38:50.7256360Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7256420Z     
2025-09-07T06:38:50.7256470Z       warnings.warn(msg)
2025-09-07T06:38:50.7256510Z     
2025-09-07T06:38:50.7256610Z --- Parse Warning: 40 / 146 ---
2025-09-07T06:38:50.7257280Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=pad_packed_sequence in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/rnn.py line=350.
2025-09-07T06:38:50.7257430Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7257520Z     Pad a packed batch of variable length sequences.
2025-09-07T06:38:50.7257560Z     
2025-09-07T06:38:50.7257670Z         It is an inverse operation to :func:`pack_padded_sequence`.
2025-09-07T06:38:50.7257710Z     
2025-09-07T06:38:50.7257890Z         The returned Tensor's data will be of size ``T x B x *`` (if :attr:`batch_first` is ``False``)
2025-09-07T06:38:50.7258040Z         or ``B x T x *`` (if :attr:`batch_first` is ``True``) , where ``T`` is the length of the longest
2025-09-07T06:38:50.7258110Z         sequence and ``B`` is the batch size.
2025-09-07T06:38:50.7258150Z     
2025-09-07T06:38:50.7258190Z         Example:
2025-09-07T06:38:50.7258330Z             >>> from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
2025-09-07T06:38:50.7258430Z             >>> seq = torch.tensor([[1, 2, 0], [3, 0, 0], [4, 5, 6]])
2025-09-07T06:38:50.7258480Z             >>> lens = [2, 1, 3]
2025-09-07T06:38:50.7258550Z             >>> packed = pack_padded_sequence(
2025-09-07T06:38:50.7258640Z             ...     seq, lens, batch_first=True, enforce_sorted=False
2025-09-07T06:38:50.7258690Z             ... )
2025-09-07T06:38:50.7258730Z             >>> packed
2025-09-07T06:38:50.7258870Z             PackedSequence(data=tensor([4, 1, 3, 5, 2, 6]), batch_sizes=tensor([3, 2, 1]),
2025-09-07T06:38:50.7259040Z                            sorted_indices=tensor([2, 0, 1]), unsorted_indices=tensor([1, 2, 0]))
2025-09-07T06:38:50.7259200Z             >>> seq_unpacked, lens_unpacked = pad_packed_sequence(packed, batch_first=True)
2025-09-07T06:38:50.7259250Z             >>> seq_unpacked
2025-09-07T06:38:50.7259300Z             tensor([[1, 2, 0],
2025-09-07T06:38:50.7259350Z                     [3, 0, 0],
2025-09-07T06:38:50.7259400Z                     [4, 5, 6]])
2025-09-07T06:38:50.7259450Z             >>> lens_unpacked
2025-09-07T06:38:50.7259500Z             tensor([2, 1, 3])
2025-09-07T06:38:50.7259540Z     
2025-09-07T06:38:50.7259590Z         .. note::
2025-09-07T06:38:50.7259670Z             :attr:`total_length` is useful to implement the
2025-09-07T06:38:50.7259840Z             ``pack sequence -> recurrent network -> unpack sequence`` pattern in a
2025-09-07T06:38:50.7259970Z             :class:`~torch.nn.Module` wrapped in :class:`~torch.nn.DataParallel`.
2025-09-07T06:38:50.7260120Z             See :ref:`this FAQ section <pack-rnn-unpack-with-data-parallelism>` for
2025-09-07T06:38:50.7260160Z             details.
2025-09-07T06:38:50.7260200Z     
2025-09-07T06:38:50.7260240Z         Args:
2025-09-07T06:38:50.7260330Z             sequence (PackedSequence): batch to pad
2025-09-07T06:38:50.7260470Z             batch_first (bool, optional): if ``True``, the output will be in ``B x T x *``
2025-09-07T06:38:50.7260540Z                 format, ``T x B x *`` otherwise.
2025-09-07T06:38:50.7260650Z             padding_value (float, optional): values for padded elements.
2025-09-07T06:38:50.7260790Z             total_length (int, optional): if not ``None``, the output will be padded to
2025-09-07T06:38:50.7260940Z                 have length :attr:`total_length`. This method will throw :class:`ValueError`
2025-09-07T06:38:50.7261060Z                 if :attr:`total_length` is less than the max sequence length in
2025-09-07T06:38:50.7261110Z                 :attr:`sequence`.
2025-09-07T06:38:50.7261160Z     
2025-09-07T06:38:50.7261200Z         Returns:
2025-09-07T06:38:50.7261330Z             Tuple of Tensor containing the padded sequence, and a Tensor
2025-09-07T06:38:50.7261450Z             containing the list of lengths of each sequence in the batch.
2025-09-07T06:38:50.7261590Z             Batch elements will be re-ordered as they were ordered originally when
2025-09-07T06:38:50.7261720Z             the batch was passed to ``pack_padded_sequence`` or ``pack_sequence``.
2025-09-07T06:38:50.7261780Z         
2025-09-07T06:38:50.7261940Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7261980Z     
2025-09-07T06:38:50.7262030Z       warnings.warn(msg)
2025-09-07T06:38:50.7262070Z     
2025-09-07T06:38:50.7262170Z --- Parse Warning: 41 / 146 ---
2025-09-07T06:38:50.7262820Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Unflatten in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/flatten.py line=66.
2025-09-07T06:38:50.7262970Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7263010Z     
2025-09-07T06:38:50.7263200Z     Unflattens a tensor dim expanding it to a desired shape. For use with :class:`~nn.Sequential`.
2025-09-07T06:38:50.7263240Z     
2025-09-07T06:38:50.7263400Z     * :attr:`dim` specifies the dimension of the input tensor to be unflattened, and it can
2025-09-07T06:38:50.7263540Z       be either `int` or `str` when `Tensor` or `NamedTensor` is used, respectively.
2025-09-07T06:38:50.7263590Z     
2025-09-07T06:38:50.7263770Z     * :attr:`unflattened_size` is the new shape of the unflattened dimension of the tensor and it can be
2025-09-07T06:38:50.7263930Z       a `tuple` of ints or a `list` of ints or `torch.Size` for `Tensor` input;  a `NamedShape`
2025-09-07T06:38:50.7264050Z       (tuple of `(name, size)` tuples) for `NamedTensor` input.
2025-09-07T06:38:50.7264100Z     
2025-09-07T06:38:50.7264140Z     Shape:
2025-09-07T06:38:50.7264280Z         - Input: :math:`(*, S_{\text{dim}}, *)`, where :math:`S_{\text{dim}}` is the size at
2025-09-07T06:38:50.7264430Z           dimension :attr:`dim` and :math:`*` means any number of dimensions including none.
2025-09-07T06:38:50.7264560Z         - Output: :math:`(*, U_1, ..., U_n, *)`, where :math:`U` = :attr:`unflattened_size` and
2025-09-07T06:38:50.7264640Z           :math:`\prod_{i=1}^n U_i = S_{\text{dim}}`.
2025-09-07T06:38:50.7264680Z     
2025-09-07T06:38:50.7264730Z     Args:
2025-09-07T06:38:50.7264810Z         dim (Union[int, str]): Dimension to be unflattened
2025-09-07T06:38:50.7265050Z         unflattened_size (Union[torch.Size, Tuple, List, NamedShape]): New shape of the unflattened dimension
2025-09-07T06:38:50.7265090Z     
2025-09-07T06:38:50.7265130Z     Examples:
2025-09-07T06:38:50.7265190Z         >>> input = torch.randn(2, 50)
2025-09-07T06:38:50.7265250Z         >>> # With tuple of ints
2025-09-07T06:38:50.7265300Z         >>> m = nn.Sequential(
2025-09-07T06:38:50.7265350Z         >>>     nn.Linear(50, 50),
2025-09-07T06:38:50.7265410Z         >>>     nn.Unflatten(1, (2, 5, 5))
2025-09-07T06:38:50.7265450Z         >>> )
2025-09-07T06:38:50.7265510Z         >>> output = m(input)
2025-09-07T06:38:50.7265560Z         >>> output.size()
2025-09-07T06:38:50.7265610Z         torch.Size([2, 2, 5, 5])
2025-09-07T06:38:50.7265660Z         >>> # With torch.Size
2025-09-07T06:38:50.7265710Z         >>> m = nn.Sequential(
2025-09-07T06:38:50.7265760Z         >>>     nn.Linear(50, 50),
2025-09-07T06:38:50.7265840Z         >>>     nn.Unflatten(1, torch.Size([2, 5, 5]))
2025-09-07T06:38:50.7265880Z         >>> )
2025-09-07T06:38:50.7265930Z         >>> output = m(input)
2025-09-07T06:38:50.7265980Z         >>> output.size()
2025-09-07T06:38:50.7266030Z         torch.Size([2, 2, 5, 5])
2025-09-07T06:38:50.7266100Z         >>> # With namedshape (tuple of tuples)
2025-09-07T06:38:50.7266190Z         >>> input = torch.randn(2, 50, names=("N", "features"))
2025-09-07T06:38:50.7266350Z         >>> unflatten = nn.Unflatten("features", (("C", 2), ("H", 5), ("W", 5)))
2025-09-07T06:38:50.7266410Z         >>> output = unflatten(input)
2025-09-07T06:38:50.7266460Z         >>> output.size()
2025-09-07T06:38:50.7266510Z         torch.Size([2, 2, 5, 5])
2025-09-07T06:38:50.7266550Z     
2025-09-07T06:38:50.7266720Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7266760Z     
2025-09-07T06:38:50.7266810Z       warnings.warn(msg)
2025-09-07T06:38:50.7266850Z     
2025-09-07T06:38:50.7266950Z --- Parse Warning: 42 / 146 ---
2025-09-07T06:38:50.7267620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=603.
2025-09-07T06:38:50.7267780Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7267880Z     Applies Batch Normalization over a N-Dimensional input.
2025-09-07T06:38:50.7267920Z     
2025-09-07T06:38:50.7268130Z         The N-D input is a mini-batch of [N-2]D inputs with additional channel dimension) as described in the paper
2025-09-07T06:38:50.7268270Z         `Batch Normalization: Accelerating Deep Network Training by Reducing
2025-09-07T06:38:50.7268400Z         Internal Covariate Shift <https://arxiv.org/abs/1502.03167>`__ .
2025-09-07T06:38:50.7268440Z     
2025-09-07T06:38:50.7268480Z         .. math::
2025-09-07T06:38:50.7268520Z     
2025-09-07T06:38:50.7268660Z             y = \frac{x - \mathrm{E}[x]}{ \sqrt{\mathrm{Var}[x] + \epsilon}} * \gamma + \beta
2025-09-07T06:38:50.7268700Z     
2025-09-07T06:38:50.7268840Z         The mean and standard-deviation are calculated per-dimension over all
2025-09-07T06:38:50.7269000Z         mini-batches of the same process groups. :math:`\gamma` and :math:`\beta`
2025-09-07T06:38:50.7269150Z         are learnable parameter vectors of size `C` (where `C` is the input size).
2025-09-07T06:38:50.7269260Z         By default, the elements of :math:`\gamma` are sampled from
2025-09-07T06:38:50.7269380Z         :math:`\mathcal{U}(0, 1)` and the elements of :math:`\beta` are set to 0.
2025-09-07T06:38:50.7269530Z         The standard-deviation is calculated via the biased estimator, equivalent to
2025-09-07T06:38:50.7269600Z         `torch.var(input, unbiased=False)`.
2025-09-07T06:38:50.7269640Z     
2025-09-07T06:38:50.7269780Z         Also by default, during training this layer keeps running estimates of its
2025-09-07T06:38:50.7269940Z         computed mean and variance, which are then used for normalization during
2025-09-07T06:38:50.7270090Z         evaluation. The running estimates are kept with a default :attr:`momentum`
2025-09-07T06:38:50.7270130Z         of 0.1.
2025-09-07T06:38:50.7270170Z     
2025-09-07T06:38:50.7270310Z         If :attr:`track_running_stats` is set to ``False``, this layer then does not
2025-09-07T06:38:50.7270440Z         keep running estimates, and batch statistics are instead used during
2025-09-07T06:38:50.7270500Z         evaluation time as well.
2025-09-07T06:38:50.7270540Z     
2025-09-07T06:38:50.7270580Z         .. note::
2025-09-07T06:38:50.7270710Z             This :attr:`momentum` argument is different from one used in optimizer
2025-09-07T06:38:50.7270840Z             classes and the conventional notion of momentum. Mathematically, the
2025-09-07T06:38:50.7270930Z             update rule for running statistics here is
2025-09-07T06:38:50.7271090Z             :math:`\hat{x}_\text{new} = (1 - \text{momentum}) \times \hat{x} + \text{momentum} \times x_t`,
2025-09-07T06:38:50.7271220Z             where :math:`\hat{x}` is the estimated statistic and :math:`x_t` is the
2025-09-07T06:38:50.7271270Z             new observed value.
2025-09-07T06:38:50.7271310Z     
2025-09-07T06:38:50.7271490Z         Because the Batch Normalization is done for each channel in the ``C`` dimension, computing
2025-09-07T06:38:50.7271660Z         statistics on ``(N, +)`` slices, it's common terminology to call this Volumetric Batch
2025-09-07T06:38:50.7271770Z         Normalization or Spatio-temporal Batch Normalization.
2025-09-07T06:38:50.7271810Z     
2025-09-07T06:38:50.7271900Z         Currently :class:`SyncBatchNorm` only supports
2025-09-07T06:38:50.7272110Z         :class:`~torch.nn.DistributedDataParallel` (DDP) with single GPU per process. Use
2025-09-07T06:38:50.7272250Z         :meth:`torch.nn.SyncBatchNorm.convert_sync_batchnorm()` to convert
2025-09-07T06:38:50.7272380Z         :attr:`BatchNorm*D` layer to :class:`SyncBatchNorm` before wrapping
2025-09-07T06:38:50.7272430Z         Network with DDP.
2025-09-07T06:38:50.7272470Z     
2025-09-07T06:38:50.7272510Z         Args:
2025-09-07T06:38:50.7272610Z             num_features: :math:`C` from an expected input of size
2025-09-07T06:38:50.7272670Z                 :math:`(N, C, +)`
2025-09-07T06:38:50.7272780Z             eps: a value added to the denominator for numerical stability.
2025-09-07T06:38:50.7272840Z                 Default: ``1e-5``
2025-09-07T06:38:50.7272950Z             momentum: the value used for the running_mean and running_var
2025-09-07T06:38:50.7273080Z                 computation. Can be set to ``None`` for cumulative moving average
2025-09-07T06:38:50.7273150Z                 (i.e. simple average). Default: 0.1
2025-09-07T06:38:50.7273280Z             affine: a boolean value that when set to ``True``, this module has
2025-09-07T06:38:50.7273370Z                 learnable affine parameters. Default: ``True``
2025-09-07T06:38:50.7273500Z             track_running_stats: a boolean value that when set to ``True``, this
2025-09-07T06:38:50.7273640Z                 module tracks the running mean and variance, and when set to ``False``,
2025-09-07T06:38:50.7273790Z                 this module does not track such statistics, and initializes statistics
2025-09-07T06:38:50.7273920Z                 buffers :attr:`running_mean` and :attr:`running_var` as ``None``.
2025-09-07T06:38:50.7274060Z                 When these buffers are ``None``, this module always uses batch statistics.
2025-09-07T06:38:50.7274150Z                 in both training and eval modes. Default: ``True``
2025-09-07T06:38:50.7274300Z             process_group: synchronization of stats happen within each process group
2025-09-07T06:38:50.7274430Z                 individually. Default behavior is synchronization across the whole
2025-09-07T06:38:50.7274480Z                 world
2025-09-07T06:38:50.7274520Z     
2025-09-07T06:38:50.7274560Z         Shape:
2025-09-07T06:38:50.7274640Z             - Input: :math:`(N, C, +)`
2025-09-07T06:38:50.7274730Z             - Output: :math:`(N, C, +)` (same shape as input)
2025-09-07T06:38:50.7274770Z     
2025-09-07T06:38:50.7274810Z         .. note::
2025-09-07T06:38:50.7274960Z             Synchronization of batchnorm statistics occurs only while training, i.e.
2025-09-07T06:38:50.7275080Z             synchronization is disabled when ``model.eval()`` is set or if
2025-09-07T06:38:50.7275160Z             ``self.training`` is otherwise ``False``.
2025-09-07T06:38:50.7275200Z     
2025-09-07T06:38:50.7275240Z         Examples::
2025-09-07T06:38:50.7275280Z     
2025-09-07T06:38:50.7275340Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7275400Z             >>> # With Learnable Parameters
2025-09-07T06:38:50.7275460Z             >>> m = nn.SyncBatchNorm(100)
2025-09-07T06:38:50.7275540Z             >>> # creating process group (optional)
2025-09-07T06:38:50.7275620Z             >>> # ranks is a list of int identifying rank ids.
2025-09-07T06:38:50.7275680Z             >>> ranks = list(range(8))
2025-09-07T06:38:50.7275740Z             >>> r1, r2 = ranks[:4], ranks[4:]
2025-09-07T06:38:50.7275830Z             >>> # Note: every rank calls into new_group for every
2025-09-07T06:38:50.7275930Z             >>> # process group created, even if that rank is not
2025-09-07T06:38:50.7275980Z             >>> # part of the group.
2025-09-07T06:38:50.7276160Z             >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-09-07T06:38:50.7276280Z             >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-09-07T06:38:50.7276350Z             >>> # Without Learnable Parameters
2025-09-07T06:38:50.7276490Z             >>> m = nn.BatchNorm3d(100, affine=False, process_group=process_group)
2025-09-07T06:38:50.7276570Z             >>> input = torch.randn(20, 100, 35, 45, 10)
2025-09-07T06:38:50.7276620Z             >>> output = m(input)
2025-09-07T06:38:50.7276660Z     
2025-09-07T06:38:50.7276730Z             >>> # network is nn.BatchNorm layer
2025-09-07T06:38:50.7276900Z             >>> sync_bn_network = nn.SyncBatchNorm.convert_sync_batchnorm(network, process_group)
2025-09-07T06:38:50.7276990Z             >>> # only single gpu per process is currently supported
2025-09-07T06:38:50.7277130Z             >>> ddp_sync_bn_network = torch.nn.parallel.DistributedDataParallel(
2025-09-07T06:38:50.7277200Z             >>>                         sync_bn_network,
2025-09-07T06:38:50.7277280Z             >>>                         device_ids=[args.local_rank],
2025-09-07T06:38:50.7277360Z             >>>                         output_device=args.local_rank)
2025-09-07T06:38:50.7277410Z         
2025-09-07T06:38:50.7277550Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7277590Z     
2025-09-07T06:38:50.7277650Z       warnings.warn(msg)
2025-09-07T06:38:50.7277680Z     
2025-09-07T06:38:50.7277780Z --- Parse Warning: 43 / 146 ---
2025-09-07T06:38:50.7278540Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyncBatchNorm.convert_sync_batchnorm in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/batchnorm.py line=830.
2025-09-07T06:38:50.7278700Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7278890Z     Converts all :attr:`BatchNorm*D` layers in the model to :class:`torch.nn.SyncBatchNorm` layers.
2025-09-07T06:38:50.7278930Z     
2025-09-07T06:38:50.7278970Z             Args:
2025-09-07T06:38:50.7279120Z                 module (nn.Module): module containing one or more :attr:`BatchNorm*D` layers
2025-09-07T06:38:50.7279250Z                 process_group (optional): process group to scope synchronization,
2025-09-07T06:38:50.7279320Z                     default is the whole world
2025-09-07T06:38:50.7279360Z     
2025-09-07T06:38:50.7279430Z             Returns:
2025-09-07T06:38:50.7279590Z                 The original :attr:`module` with the converted :class:`torch.nn.SyncBatchNorm`
2025-09-07T06:38:50.7279720Z                 layers. If the original :attr:`module` is a :attr:`BatchNorm*D` layer,
2025-09-07T06:38:50.7279850Z                 a new :class:`torch.nn.SyncBatchNorm` layer object will be returned
2025-09-07T06:38:50.7279900Z                 instead.
2025-09-07T06:38:50.7279930Z     
2025-09-07T06:38:50.7279980Z             Example::
2025-09-07T06:38:50.7280020Z     
2025-09-07T06:38:50.7280090Z                 >>> # Network with nn.BatchNorm layer
2025-09-07T06:38:50.7280180Z                 >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-09-07T06:38:50.7280250Z                 >>> module = torch.nn.Sequential(
2025-09-07T06:38:50.7280330Z                 >>>            torch.nn.Linear(20, 100),
2025-09-07T06:38:50.7280400Z                 >>>            torch.nn.BatchNorm1d(100),
2025-09-07T06:38:50.7280460Z                 >>>          ).cuda()
2025-09-07T06:38:50.7280530Z                 >>> # creating process group (optional)
2025-09-07T06:38:50.7280620Z                 >>> # ranks is a list of int identifying rank ids.
2025-09-07T06:38:50.7280680Z                 >>> ranks = list(range(8))
2025-09-07T06:38:50.7280750Z                 >>> r1, r2 = ranks[:4], ranks[4:]
2025-09-07T06:38:50.7280860Z                 >>> # Note: every rank calls into new_group for every
2025-09-07T06:38:50.7280950Z                 >>> # process group created, even if that rank is not
2025-09-07T06:38:50.7281010Z                 >>> # part of the group.
2025-09-07T06:38:50.7281090Z                 >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:50.7281260Z                 >>> process_groups = [torch.distributed.new_group(pids) for pids in [r1, r2]]
2025-09-07T06:38:50.7281390Z                 >>> process_group = process_groups[0 if dist.get_rank() <= 3 else 1]
2025-09-07T06:38:50.7281570Z                 >>> sync_bn_module = torch.nn.SyncBatchNorm.convert_sync_batchnorm(module, process_group)
2025-09-07T06:38:50.7281610Z     
2025-09-07T06:38:50.7281650Z             
2025-09-07T06:38:50.7281800Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7281840Z     
2025-09-07T06:38:50.7281890Z       warnings.warn(msg)
2025-09-07T06:38:50.7281930Z     
2025-09-07T06:38:50.7282030Z --- Parse Warning: 44 / 146 ---
2025-09-07T06:38:50.7282690Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MaxUnpool2d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/pooling.py line=410.
2025-09-07T06:38:50.7282850Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7282940Z     Computes a partial inverse of :class:`MaxPool2d`.
2025-09-07T06:38:50.7282980Z     
2025-09-07T06:38:50.7283140Z         :class:`MaxPool2d` is not fully invertible, since the non-maximal values are lost.
2025-09-07T06:38:50.7283180Z     
2025-09-07T06:38:50.7283320Z         :class:`MaxUnpool2d` takes in as input the output of :class:`MaxPool2d`
2025-09-07T06:38:50.7283480Z         including the indices of the maximal values and computes a partial inverse
2025-09-07T06:38:50.7283570Z         in which all non-maximal values are set to zero.
2025-09-07T06:38:50.7283610Z     
2025-09-07T06:38:50.7283650Z         Note:
2025-09-07T06:38:50.7283840Z             This operation may behave nondeterministically when the input indices has repeat values.
2025-09-07T06:38:50.7284070Z             See https://github.com/pytorch/pytorch/issues/80827 and :doc:`/notes/randomness` for more information.
2025-09-07T06:38:50.7284110Z     
2025-09-07T06:38:50.7284250Z         .. note:: :class:`MaxPool2d` can map several input sizes to the same output
2025-09-07T06:38:50.7284360Z                   sizes. Hence, the inversion process can get ambiguous.
2025-09-07T06:38:50.7284490Z                   To accommodate this, you can provide the needed output size
2025-09-07T06:38:50.7284620Z                   as an additional argument :attr:`output_size` in the forward call.
2025-09-07T06:38:50.7284690Z                   See the Inputs and Example below.
2025-09-07T06:38:50.7284740Z     
2025-09-07T06:38:50.7284780Z         Args:
2025-09-07T06:38:50.7284890Z             kernel_size (int or tuple): Size of the max pooling window.
2025-09-07T06:38:50.7284990Z             stride (int or tuple): Stride of the max pooling window.
2025-09-07T06:38:50.7285080Z                 It is set to :attr:`kernel_size` by default.
2025-09-07T06:38:50.7285190Z             padding (int or tuple): Padding that was added to the input
2025-09-07T06:38:50.7285230Z     
2025-09-07T06:38:50.7285270Z         Inputs:
2025-09-07T06:38:50.7285340Z             - `input`: the input Tensor to invert
2025-09-07T06:38:50.7285470Z             - `indices`: the indices given out by :class:`~torch.nn.MaxPool2d`
2025-09-07T06:38:50.7285570Z             - `output_size` (optional): the targeted output size
2025-09-07T06:38:50.7285610Z     
2025-09-07T06:38:50.7285650Z         Shape:
2025-09-07T06:38:50.7285770Z             - Input: :math:`(N, C, H_{in}, W_{in})` or :math:`(C, H_{in}, W_{in})`.
2025-09-07T06:38:50.7285900Z             - Output: :math:`(N, C, H_{out}, W_{out})` or :math:`(C, H_{out}, W_{out})`, where
2025-09-07T06:38:50.7285970Z     
2025-09-07T06:38:50.7286020Z               .. math::
2025-09-07T06:38:50.7286190Z                 H_{out} = (H_{in} - 1) \times \text{stride[0]} - 2 \times \text{padding[0]} + \text{kernel\_size[0]}
2025-09-07T06:38:50.7286230Z     
2025-09-07T06:38:50.7286270Z               .. math::
2025-09-07T06:38:50.7286450Z                 W_{out} = (W_{in} - 1) \times \text{stride[1]} - 2 \times \text{padding[1]} + \text{kernel\_size[1]}
2025-09-07T06:38:50.7286490Z     
2025-09-07T06:38:50.7286590Z               or as given by :attr:`output_size` in the call operator
2025-09-07T06:38:50.7286630Z     
2025-09-07T06:38:50.7286680Z         Example::
2025-09-07T06:38:50.7286710Z     
2025-09-07T06:38:50.7286820Z             >>> pool = nn.MaxPool2d(2, stride=2, return_indices=True)
2025-09-07T06:38:50.7286890Z             >>> unpool = nn.MaxUnpool2d(2, stride=2)
2025-09-07T06:38:50.7286970Z             >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.],
2025-09-07T06:38:50.7287040Z                                         [ 5.,  6.,  7.,  8.],
2025-09-07T06:38:50.7287110Z                                         [ 9., 10., 11., 12.],
2025-09-07T06:38:50.7287180Z                                         [13., 14., 15., 16.]]]])
2025-09-07T06:38:50.7287250Z             >>> output, indices = pool(input)
2025-09-07T06:38:50.7287310Z             >>> unpool(output, indices)
2025-09-07T06:38:50.7287370Z             tensor([[[[  0.,   0.,   0.,   0.],
2025-09-07T06:38:50.7287420Z                       [  0.,   6.,   0.,   8.],
2025-09-07T06:38:50.7287480Z                       [  0.,   0.,   0.,   0.],
2025-09-07T06:38:50.7287540Z                       [  0.,  14.,   0.,  16.]]]])
2025-09-07T06:38:50.7287670Z             >>> # Now using output_size to resolve an ambiguous size for the inverse
2025-09-07T06:38:50.7287780Z             >>> input = torch.tensor([[[[ 1.,  2.,  3.,  4.,  5.],
2025-09-07T06:38:50.7290710Z                                         [ 6.,  7.,  8.,  9., 10.],
2025-09-07T06:38:50.7290790Z                                         [11., 12., 13., 14., 15.],
2025-09-07T06:38:50.7290870Z                                         [16., 17., 18., 19., 20.]]]])
2025-09-07T06:38:50.7290930Z             >>> output, indices = pool(input)
2025-09-07T06:38:50.7291040Z             >>> # This call will not work without specifying output_size
2025-09-07T06:38:50.7291130Z             >>> unpool(output, indices, output_size=input.size())
2025-09-07T06:38:50.7291200Z             tensor([[[[ 0.,  0.,  0.,  0.,  0.],
2025-09-07T06:38:50.7291260Z                       [ 0.,  7.,  0.,  9.,  0.],
2025-09-07T06:38:50.7291400Z                       [ 0.,  0.,  0.,  0.,  0.],
2025-09-07T06:38:50.7291460Z                       [ 0., 17.,  0., 19.,  0.]]]])
2025-09-07T06:38:50.7291500Z     
2025-09-07T06:38:50.7291540Z     
2025-09-07T06:38:50.7291580Z         
2025-09-07T06:38:50.7291730Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7291770Z     
2025-09-07T06:38:50.7291820Z       warnings.warn(msg)
2025-09-07T06:38:50.7291860Z     
2025-09-07T06:38:50.7291970Z --- Parse Warning: 45 / 146 ---
2025-09-07T06:38:50.7292690Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TripletMarginWithDistanceLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1798.
2025-09-07T06:38:50.7292840Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7292970Z     Creates a criterion that measures the triplet loss given input
2025-09-07T06:38:50.7293080Z         tensors :math:`a`, :math:`p`, and :math:`n` (representing anchor,
2025-09-07T06:38:50.7293210Z         positive, and negative examples, respectively), and a nonnegative,
2025-09-07T06:38:50.7293360Z         real-valued function ("distance function") used to compute the relationship
2025-09-07T06:38:50.7293520Z         between the anchor and positive example ("positive distance") and the
2025-09-07T06:38:50.7293610Z         anchor and negative example ("negative distance").
2025-09-07T06:38:50.7293650Z     
2025-09-07T06:38:50.7293780Z         The unreduced loss (i.e., with :attr:`reduction` set to ``'none'``)
2025-09-07T06:38:50.7293850Z         can be described as:
2025-09-07T06:38:50.7293890Z     
2025-09-07T06:38:50.7293930Z         .. math::
2025-09-07T06:38:50.7294020Z             \ell(a, p, n) = L = \{l_1,\dots,l_N\}^\top, \quad
2025-09-07T06:38:50.7294120Z             l_i = \max \{d(a_i, p_i) - d(a_i, n_i) + {\rm margin}, 0\}
2025-09-07T06:38:50.7294160Z     
2025-09-07T06:38:50.7294310Z         where :math:`N` is the batch size; :math:`d` is a nonnegative, real-valued function
2025-09-07T06:38:50.7294490Z         quantifying the closeness of two tensors, referred to as the :attr:`distance_function`;
2025-09-07T06:38:50.7294630Z         and :math:`margin` is a nonnegative margin representing the minimum difference
2025-09-07T06:38:50.7294780Z         between the positive and negative distances that is required for the loss to
2025-09-07T06:38:50.7294920Z         be 0.  The input tensors have :math:`N` elements each and can be of any shape
2025-09-07T06:38:50.7294990Z         that the distance function can handle.
2025-09-07T06:38:50.7295030Z     
2025-09-07T06:38:50.7295100Z         If :attr:`reduction` is not ``'none'``
2025-09-07T06:38:50.7295160Z         (default ``'mean'``), then:
2025-09-07T06:38:50.7295200Z     
2025-09-07T06:38:50.7295240Z         .. math::
2025-09-07T06:38:50.7295290Z             \ell(x, y) =
2025-09-07T06:38:50.7295340Z             \begin{cases}
2025-09-07T06:38:50.7295460Z                 \operatorname{mean}(L), &  \text{if reduction} = \text{`mean';}\\
2025-09-07T06:38:50.7295590Z                 \operatorname{sum}(L),  &  \text{if reduction} = \text{`sum'.}
2025-09-07T06:38:50.7295640Z             \end{cases}
2025-09-07T06:38:50.7295680Z     
2025-09-07T06:38:50.7295820Z         See also :class:`~torch.nn.TripletMarginLoss`, which computes the triplet
2025-09-07T06:38:50.7295970Z         loss for input tensors using the :math:`l_p` distance as the distance function.
2025-09-07T06:38:50.7296010Z     
2025-09-07T06:38:50.7296050Z         Args:
2025-09-07T06:38:50.7296220Z             distance_function (Callable, optional): A nonnegative, real-valued function that
2025-09-07T06:38:50.7296340Z                 quantifies the closeness of two tensors. If not specified,
2025-09-07T06:38:50.7296440Z                 `nn.PairwiseDistance` will be used.  Default: ``None``
2025-09-07T06:38:50.7296720Z             margin (float, optional): A nonnegative margin representing the minimum difference
2025-09-07T06:38:50.7296880Z                 between the positive and negative distances required for the loss to be 0. Larger
2025-09-07T06:38:50.7297040Z                 margins penalize cases where the negative examples are not distant enough from the
2025-09-07T06:38:50.7297150Z                 anchors, relative to the positives. Default: :math:`1`.
2025-09-07T06:38:50.7297300Z             swap (bool, optional): Whether to use the distance swap described in the paper
2025-09-07T06:38:50.7297450Z                 `Learning shallow convolutional feature descriptors with triplet losses` by
2025-09-07T06:38:50.7297600Z                 V. Balntas, E. Riba et al. If True, and if the positive example is closer to the
2025-09-07T06:38:50.7297760Z                 negative example than the anchor is, swaps the positive example and the anchor in
2025-09-07T06:38:50.7297840Z                 the loss computation. Default: ``False``.
2025-09-07T06:38:50.7298010Z             reduction (str, optional): Specifies the (optional) reduction to apply to the output:
2025-09-07T06:38:50.7298130Z                 ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-09-07T06:38:50.7298240Z                 ``'mean'``: the sum of the output will be divided by the number of
2025-09-07T06:38:50.7298410Z                 elements in the output, ``'sum'``: the output will be summed. Default: ``'mean'``
2025-09-07T06:38:50.7298450Z     
2025-09-07T06:38:50.7298480Z     
2025-09-07T06:38:50.7298530Z         Shape:
2025-09-07T06:38:50.7298690Z             - Input: :math:`(N, *)` where :math:`*` represents any number of additional dimensions
2025-09-07T06:38:50.7298780Z               as supported by the distance function.
2025-09-07T06:38:50.7298930Z             - Output: A Tensor of shape :math:`(N)` if :attr:`reduction` is ``'none'``, or a scalar
2025-09-07T06:38:50.7298980Z               otherwise.
2025-09-07T06:38:50.7299020Z     
2025-09-07T06:38:50.7299060Z         Examples:
2025-09-07T06:38:50.7299100Z     
2025-09-07T06:38:50.7299160Z         >>> # Initialize embeddings
2025-09-07T06:38:50.7299230Z         >>> embedding = nn.Embedding(1000, 128)
2025-09-07T06:38:50.7299310Z         >>> anchor_ids = torch.randint(0, 1000, (1,))
2025-09-07T06:38:50.7299390Z         >>> positive_ids = torch.randint(0, 1000, (1,))
2025-09-07T06:38:50.7299460Z         >>> negative_ids = torch.randint(0, 1000, (1,))
2025-09-07T06:38:50.7299530Z         >>> anchor = embedding(anchor_ids)
2025-09-07T06:38:50.7299590Z         >>> positive = embedding(positive_ids)
2025-09-07T06:38:50.7299660Z         >>> negative = embedding(negative_ids)
2025-09-07T06:38:50.7299700Z         >>>
2025-09-07T06:38:50.7299760Z         >>> # Built-in Distance Function
2025-09-07T06:38:50.7299820Z         >>> triplet_loss = \
2025-09-07T06:38:50.7299990Z         >>>     nn.TripletMarginWithDistanceLoss(distance_function=nn.PairwiseDistance())
2025-09-07T06:38:50.7300080Z         >>> output = triplet_loss(anchor, positive, negative)
2025-09-07T06:38:50.7300140Z         >>> output.backward()
2025-09-07T06:38:50.7300180Z         >>>
2025-09-07T06:38:50.7300240Z         >>> # Custom Distance Function
2025-09-07T06:38:50.7300320Z         >>> def l_infinity(x1, x2):
2025-09-07T06:38:50.7300420Z         >>>     return torch.max(torch.abs(x1 - x2), dim=1).values
2025-09-07T06:38:50.7300460Z         >>>
2025-09-07T06:38:50.7300580Z         >>> # xdoctest: +SKIP("FIXME: Would call backwards a second time")
2025-09-07T06:38:50.7300630Z         >>> triplet_loss = (
2025-09-07T06:38:50.7300790Z         >>>     nn.TripletMarginWithDistanceLoss(distance_function=l_infinity, margin=1.5))
2025-09-07T06:38:50.7300890Z         >>> output = triplet_loss(anchor, positive, negative)
2025-09-07T06:38:50.7300940Z         >>> output.backward()
2025-09-07T06:38:50.7300990Z         >>>
2025-09-07T06:38:50.7301050Z         >>> # Custom Distance Function (Lambda)
2025-09-07T06:38:50.7301130Z         >>> triplet_loss = (
2025-09-07T06:38:50.7301210Z         >>>     nn.TripletMarginWithDistanceLoss(
2025-09-07T06:38:50.7301350Z         >>>         distance_function=lambda x, y: 1.0 - F.cosine_similarity(x, y)))
2025-09-07T06:38:50.7301440Z         >>> output = triplet_loss(anchor, positive, negative)
2025-09-07T06:38:50.7301500Z         >>> output.backward()
2025-09-07T06:38:50.7301530Z     
2025-09-07T06:38:50.7301580Z         Reference:
2025-09-07T06:38:50.7301760Z             V. Balntas, et al.: Learning shallow convolutional feature descriptors with triplet losses:
2025-09-07T06:38:50.7301900Z             https://bmva-archive.org.uk/bmvc/2016/papers/paper119/index.html
2025-09-07T06:38:50.7301940Z         
2025-09-07T06:38:50.7302150Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 17))
2025-09-07T06:38:50.7302190Z     
2025-09-07T06:38:50.7302240Z       warnings.warn(msg)
2025-09-07T06:38:50.7302280Z     
2025-09-07T06:38:50.7302380Z --- Parse Warning: 46 / 146 ---
2025-09-07T06:38:50.7303020Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CTCLoss in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/loss.py line=1933.
2025-09-07T06:38:50.7303230Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7303310Z     The Connectionist Temporal Classification loss.
2025-09-07T06:38:50.7303350Z     
2025-09-07T06:38:50.7303570Z         Calculates loss between a continuous (unsegmented) time series and a target sequence. CTCLoss sums over the
2025-09-07T06:38:50.7303810Z         probability of possible alignments of input to target, producing a loss value which is differentiable
2025-09-07T06:38:50.7304020Z         with respect to each input node. The alignment of input to target is assumed to be "many-to-one", which
2025-09-07T06:38:50.7304200Z         limits the length of the target sequence such that it must be :math:`\leq` the input length.
2025-09-07T06:38:50.7304240Z     
2025-09-07T06:38:50.7304280Z         Args:
2025-09-07T06:38:50.7304380Z             blank (int, optional): blank label. Default :math:`0`.
2025-09-07T06:38:50.7304530Z             reduction (str, optional): Specifies the reduction to apply to the output:
2025-09-07T06:38:50.7304650Z                 ``'none'`` | ``'mean'`` | ``'sum'``. ``'none'``: no reduction will be applied,
2025-09-07T06:38:50.7304780Z                 ``'mean'``: the output losses will be divided by the target lengths and
2025-09-07T06:38:50.7304930Z                 then the mean over the batch is taken, ``'sum'``: the output losses will be summed.
2025-09-07T06:38:50.7304990Z                 Default: ``'mean'``
2025-09-07T06:38:50.7305050Z             zero_infinity (bool, optional):
2025-09-07T06:38:50.7305170Z                 Whether to zero infinite losses and the associated gradients.
2025-09-07T06:38:50.7305220Z                 Default: ``False``
2025-09-07T06:38:50.7305340Z                 Infinite losses mainly occur when the inputs are too short
2025-09-07T06:38:50.7305410Z                 to be aligned to the targets.
2025-09-07T06:38:50.7305470Z     
2025-09-07T06:38:50.7305510Z         Shape:
2025-09-07T06:38:50.7305630Z             - Log_probs: Tensor of size :math:`(T, N, C)` or :math:`(T, C)`,
2025-09-07T06:38:50.7305710Z               where :math:`T = \text{input length}`,
2025-09-07T06:38:50.7305780Z               :math:`N = \text{batch size}`, and
2025-09-07T06:38:50.7305880Z               :math:`C = \text{number of classes (including blank)}`.
2025-09-07T06:38:50.7306010Z               The logarithmized probabilities of the outputs (e.g. obtained with
2025-09-07T06:38:50.7306100Z               :func:`torch.nn.functional.log_softmax`).
2025-09-07T06:38:50.7306170Z             - Targets: Tensor of size :math:`(N, S)` or
2025-09-07T06:38:50.7306270Z               :math:`(\operatorname{sum}(\text{target\_lengths}))`,
2025-09-07T06:38:50.7306370Z               where :math:`N = \text{batch size}` and
2025-09-07T06:38:50.7306480Z               :math:`S = \text{max target length, if shape is } (N, S)`.
2025-09-07T06:38:50.7306600Z               It represents the target sequences. Each element in the target
2025-09-07T06:38:50.7306750Z               sequence is a class index. And the target index cannot be blank (default=0).
2025-09-07T06:38:50.7306840Z               In the :math:`(N, S)` form, targets are padded to the
2025-09-07T06:38:50.7306930Z               length of the longest sequence, and stacked.
2025-09-07T06:38:50.7307050Z               In the :math:`(\operatorname{sum}(\text{target\_lengths}))` form,
2025-09-07T06:38:50.7307130Z               the targets are assumed to be un-padded and
2025-09-07T06:38:50.7307200Z               concatenated within 1 dimension.
2025-09-07T06:38:50.7307330Z             - Input_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-09-07T06:38:50.7307450Z               where :math:`N = \text{batch size}`. It represents the lengths of the
2025-09-07T06:38:50.7307580Z               inputs (must each be :math:`\leq T`). And the lengths are specified
2025-09-07T06:38:50.7307710Z               for each sequence to achieve masking under the assumption that sequences
2025-09-07T06:38:50.7307840Z               are padded to equal lengths.
2025-09-07T06:38:50.7307960Z             - Target_lengths: Tuple or tensor of size :math:`(N)` or :math:`()`,
2025-09-07T06:38:50.7308090Z               where :math:`N = \text{batch size}`. It represents lengths of the targets.
2025-09-07T06:38:50.7308220Z               Lengths are specified for each sequence to achieve masking under the
2025-09-07T06:38:50.7308390Z               assumption that sequences are padded to equal lengths. If target shape is
2025-09-07T06:38:50.7308500Z               :math:`(N,S)`, target_lengths are effectively the stop index
2025-09-07T06:38:50.7308660Z               :math:`s_n` for each target sequence, such that ``target_n = targets[n,0:s_n]`` for
2025-09-07T06:38:50.7308770Z               each target in a batch. Lengths must each be :math:`\leq S`
2025-09-07T06:38:50.7308920Z               If the targets are given as a 1d tensor that is the concatenation of individual
2025-09-07T06:38:50.7309060Z               targets, the target_lengths must add up to the total length of the tensor.
2025-09-07T06:38:50.7309180Z             - Output: scalar if :attr:`reduction` is ``'mean'`` (default) or
2025-09-07T06:38:50.7309320Z               ``'sum'``. If :attr:`reduction` is ``'none'``, then :math:`(N)` if input is batched or
2025-09-07T06:38:50.7309450Z               :math:`()` if input is unbatched, where :math:`N = \text{batch size}`.
2025-09-07T06:38:50.7309490Z     
2025-09-07T06:38:50.7309530Z         Examples:
2025-09-07T06:38:50.7309570Z     
2025-09-07T06:38:50.7309630Z             >>> # Target are to be padded
2025-09-07T06:38:50.7309700Z             >>> T = 50  # Input sequence length
2025-09-07T06:38:50.7309780Z             >>> C = 20  # Number of classes (including blank)
2025-09-07T06:38:50.7309840Z             >>> N = 16  # Batch size
2025-09-07T06:38:50.7310000Z             >>> S = 30  # Target sequence length of longest target in batch (padding length)
2025-09-07T06:38:50.7310120Z             >>> S_min = 10  # Minimum target length, for demonstration purposes
2025-09-07T06:38:50.7310160Z             >>>
2025-09-07T06:38:50.7310280Z             >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-09-07T06:38:50.7310420Z             >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-09-07T06:38:50.7310460Z             >>>
2025-09-07T06:38:50.7310580Z             >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-09-07T06:38:50.7310710Z             >>> target = torch.randint(low=1, high=C, size=(N, S), dtype=torch.long)
2025-09-07T06:38:50.7310760Z             >>>
2025-09-07T06:38:50.7310890Z             >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-09-07T06:38:50.7310980Z             >>> target_lengths = torch.randint(
2025-09-07T06:38:50.7311030Z             ...     low=S_min,
2025-09-07T06:38:50.7311080Z             ...     high=S,
2025-09-07T06:38:50.7311130Z             ...     size=(N,),
2025-09-07T06:38:50.7311190Z             ...     dtype=torch.long,
2025-09-07T06:38:50.7311230Z             ... )
2025-09-07T06:38:50.7311290Z             >>> ctc_loss = nn.CTCLoss()
2025-09-07T06:38:50.7311410Z             >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-09-07T06:38:50.7311460Z             >>> loss.backward()
2025-09-07T06:38:50.7311500Z             >>>
2025-09-07T06:38:50.7311540Z             >>>
2025-09-07T06:38:50.7311610Z             >>> # Target are to be un-padded
2025-09-07T06:38:50.7311670Z             >>> T = 50  # Input sequence length
2025-09-07T06:38:50.7311760Z             >>> C = 20  # Number of classes (including blank)
2025-09-07T06:38:50.7311810Z             >>> N = 16  # Batch size
2025-09-07T06:38:50.7311850Z             >>>
2025-09-07T06:38:50.7311970Z             >>> # Initialize random batch of input vectors, for *size = (T,N,C)
2025-09-07T06:38:50.7312100Z             >>> input = torch.randn(T, N, C).log_softmax(2).detach().requires_grad_()
2025-09-07T06:38:50.7312230Z             >>> input_lengths = torch.full(size=(N,), fill_value=T, dtype=torch.long)
2025-09-07T06:38:50.7312290Z             >>>
2025-09-07T06:38:50.7312410Z             >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-09-07T06:38:50.7312560Z             >>> target_lengths = torch.randint(low=1, high=T, size=(N,), dtype=torch.long)
2025-09-07T06:38:50.7312640Z             >>> target = torch.randint(
2025-09-07T06:38:50.7312690Z             ...     low=1,
2025-09-07T06:38:50.7312740Z             ...     high=C,
2025-09-07T06:38:50.7312800Z             ...     size=(sum(target_lengths),),
2025-09-07T06:38:50.7312860Z             ...     dtype=torch.long,
2025-09-07T06:38:50.7312900Z             ... )
2025-09-07T06:38:50.7312960Z             >>> ctc_loss = nn.CTCLoss()
2025-09-07T06:38:50.7313070Z             >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-09-07T06:38:50.7313120Z             >>> loss.backward()
2025-09-07T06:38:50.7313160Z             >>>
2025-09-07T06:38:50.7313210Z             >>>
2025-09-07T06:38:50.7313320Z             >>> # Target are to be un-padded and unbatched (effectively N=1)
2025-09-07T06:38:50.7313380Z             >>> T = 50  # Input sequence length
2025-09-07T06:38:50.7313470Z             >>> C = 20  # Number of classes (including blank)
2025-09-07T06:38:50.7313510Z             >>>
2025-09-07T06:38:50.7313630Z             >>> # Initialize random batch of input vectors, for *size = (T,C)
2025-09-07T06:38:50.7313710Z             >>> # xdoctest: +SKIP("FIXME: error in doctest")
2025-09-07T06:38:50.7313830Z             >>> input = torch.randn(T, C).log_softmax(1).detach().requires_grad_()
2025-09-07T06:38:50.7313920Z             >>> input_lengths = torch.tensor(T, dtype=torch.long)
2025-09-07T06:38:50.7313970Z             >>>
2025-09-07T06:38:50.7314080Z             >>> # Initialize random batch of targets (0 = blank, 1:C = classes)
2025-09-07T06:38:50.7314240Z             >>> target_lengths = torch.randint(low=1, high=T, size=(), dtype=torch.long)
2025-09-07T06:38:50.7314300Z             >>> target = torch.randint(
2025-09-07T06:38:50.7314350Z             ...     low=1,
2025-09-07T06:38:50.7314400Z             ...     high=C,
2025-09-07T06:38:50.7314460Z             ...     size=(target_lengths,),
2025-09-07T06:38:50.7314510Z             ...     dtype=torch.long,
2025-09-07T06:38:50.7314550Z             ... )
2025-09-07T06:38:50.7314610Z             >>> ctc_loss = nn.CTCLoss()
2025-09-07T06:38:50.7314730Z             >>> loss = ctc_loss(input, target, input_lengths, target_lengths)
2025-09-07T06:38:50.7314780Z             >>> loss.backward()
2025-09-07T06:38:50.7314820Z     
2025-09-07T06:38:50.7314860Z         Reference:
2025-09-07T06:38:50.7314990Z             A. Graves et al.: Connectionist Temporal Classification:
2025-09-07T06:38:50.7315120Z             Labelling Unsegmented Sequence Data with Recurrent Neural Networks:
2025-09-07T06:38:50.7315220Z             https://www.cs.toronto.edu/~graves/icml_2006.pdf
2025-09-07T06:38:50.7315260Z     
2025-09-07T06:38:50.7315300Z         Note:
2025-09-07T06:38:50.7315450Z             In order to use CuDNN, the following must be satisfied: :attr:`targets` must be
2025-09-07T06:38:50.7315610Z             in concatenated format, all :attr:`input_lengths` must be `T`.  :math:`blank=0`,
2025-09-07T06:38:50.7315740Z             :attr:`target_lengths` :math:`\leq 256`, the integer arguments must be of
2025-09-07T06:38:50.7315800Z             dtype :attr:`torch.int32`.
2025-09-07T06:38:50.7315840Z     
2025-09-07T06:38:50.7316000Z             The regular implementation uses the (more common in PyTorch) `torch.long` dtype.
2025-09-07T06:38:50.7316040Z     
2025-09-07T06:38:50.7316080Z     
2025-09-07T06:38:50.7316120Z         Note:
2025-09-07T06:38:50.7316270Z             In some circumstances when using the CUDA backend with CuDNN, this operator
2025-09-07T06:38:50.7316430Z             may select a nondeterministic algorithm to increase performance. If this is
2025-09-07T06:38:50.7316570Z             undesirable, you can try to make the operation deterministic (potentially at
2025-09-07T06:38:50.7316730Z             a performance cost) by setting ``torch.backends.cudnn.deterministic =
2025-09-07T06:38:50.7316780Z             True``.
2025-09-07T06:38:50.7316900Z             Please see the notes on :doc:`/notes/randomness` for background.
2025-09-07T06:38:50.7316950Z         
2025-09-07T06:38:50.7317110Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7317150Z     
2025-09-07T06:38:50.7317210Z       warnings.warn(msg)
2025-09-07T06:38:50.7317250Z     
2025-09-07T06:38:50.7317350Z --- Parse Warning: 47 / 146 ---
2025-09-07T06:38:50.7318040Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Transformer.forward in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py line=186.
2025-09-07T06:38:50.7318200Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7318290Z     Take in and process masked source/target sequences.
2025-09-07T06:38:50.7318330Z     
2025-09-07T06:38:50.7318370Z             .. note::
2025-09-07T06:38:50.7318410Z     
2025-09-07T06:38:50.7318640Z                 If a boolean tensor is provided for any of the [src/tgt/memory]_mask arguments, positions with a ``True`` value are
2025-09-07T06:38:50.7318730Z                 not allowed to participate in the attention,
2025-09-07T06:38:50.7318850Z                 which is the opposite of the definition for :attr:`attn_mask`
2025-09-07T06:38:50.7318970Z                 in :func:`torch.nn.functional.scaled_dot_product_attention`.
2025-09-07T06:38:50.7319010Z     
2025-09-07T06:38:50.7319050Z             Args:
2025-09-07T06:38:50.7319130Z                 src: the sequence to the encoder (required).
2025-09-07T06:38:50.7319280Z                 tgt: the sequence to the decoder (required).
2025-09-07T06:38:50.7319390Z                 src_mask: the additive mask for the src sequence (optional).
2025-09-07T06:38:50.7319500Z                 tgt_mask: the additive mask for the tgt sequence (optional).
2025-09-07T06:38:50.7319630Z                 memory_mask: the additive mask for the encoder output (optional).
2025-09-07T06:38:50.7319770Z                 src_key_padding_mask: the Tensor mask for src keys per batch (optional).
2025-09-07T06:38:50.7319900Z                 tgt_key_padding_mask: the Tensor mask for tgt keys per batch (optional).
2025-09-07T06:38:50.7320050Z                 memory_key_padding_mask: the Tensor mask for memory keys per batch (optional).
2025-09-07T06:38:50.7320210Z                 src_is_causal: If specified, applies a causal mask as ``src_mask``.
2025-09-07T06:38:50.7320310Z                     Default: ``None``; try to detect a causal mask.
2025-09-07T06:38:50.7320350Z                     Warning:
2025-09-07T06:38:50.7320460Z                     ``src_is_causal`` provides a hint that ``src_mask`` is
2025-09-07T06:38:50.7320570Z                     the causal mask. Providing incorrect hints can result in
2025-09-07T06:38:50.7320670Z                     incorrect execution, including forward and backward
2025-09-07T06:38:50.7320730Z                     compatibility.
2025-09-07T06:38:50.7320850Z                 tgt_is_causal: If specified, applies a causal mask as ``tgt_mask``.
2025-09-07T06:38:50.7320940Z                     Default: ``None``; try to detect a causal mask.
2025-09-07T06:38:50.7320990Z                     Warning:
2025-09-07T06:38:50.7321090Z                     ``tgt_is_causal`` provides a hint that ``tgt_mask`` is
2025-09-07T06:38:50.7321200Z                     the causal mask. Providing incorrect hints can result in
2025-09-07T06:38:50.7321300Z                     incorrect execution, including forward and backward
2025-09-07T06:38:50.7321360Z                     compatibility.
2025-09-07T06:38:50.7321470Z                 memory_is_causal: If specified, applies a causal mask as
2025-09-07T06:38:50.7321540Z                     ``memory_mask``.
2025-09-07T06:38:50.7321600Z                     Default: ``False``.
2025-09-07T06:38:50.7321640Z                     Warning:
2025-09-07T06:38:50.7321730Z                     ``memory_is_causal`` provides a hint that
2025-09-07T06:38:50.7321830Z                     ``memory_mask`` is the causal mask. Providing incorrect
2025-09-07T06:38:50.7321950Z                     hints can result in incorrect execution, including
2025-09-07T06:38:50.7322030Z                     forward and backward compatibility.
2025-09-07T06:38:50.7322070Z     
2025-09-07T06:38:50.7322110Z             Shape:
2025-09-07T06:38:50.7322270Z                 - src: :math:`(S, E)` for unbatched input, :math:`(S, N, E)` if `batch_first=False` or
2025-09-07T06:38:50.7322340Z                   `(N, S, E)` if `batch_first=True`.
2025-09-07T06:38:50.7322490Z                 - tgt: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-09-07T06:38:50.7322560Z                   `(N, T, E)` if `batch_first=True`.
2025-09-07T06:38:50.7322680Z                 - src_mask: :math:`(S, S)` or :math:`(N\cdot\text{num\_heads}, S, S)`.
2025-09-07T06:38:50.7322800Z                 - tgt_mask: :math:`(T, T)` or :math:`(N\cdot\text{num\_heads}, T, T)`.
2025-09-07T06:38:50.7322860Z                 - memory_mask: :math:`(T, S)`.
2025-09-07T06:38:50.7323010Z                 - src_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-09-07T06:38:50.7323160Z                 - tgt_key_padding_mask: :math:`(T)` for unbatched input otherwise :math:`(N, T)`.
2025-09-07T06:38:50.7323310Z                 - memory_key_padding_mask: :math:`(S)` for unbatched input otherwise :math:`(N, S)`.
2025-09-07T06:38:50.7323350Z     
2025-09-07T06:38:50.7323540Z                 Note: [src/tgt/memory]_mask ensures that position :math:`i` is allowed to attend the unmasked
2025-09-07T06:38:50.7323690Z                 positions. If a BoolTensor is provided, positions with ``True``
2025-09-07T06:38:50.7323850Z                 are not allowed to attend while ``False`` values will be unchanged. If a FloatTensor
2025-09-07T06:38:50.7323960Z                 is provided, it will be added to the attention weight.
2025-09-07T06:38:50.7324140Z                 [src/tgt/memory]_key_padding_mask provides specified elements in the key to be ignored by
2025-09-07T06:38:50.7324270Z                 the attention. If a BoolTensor is provided, the positions with the
2025-09-07T06:38:50.7324460Z                 value of ``True`` will be ignored while the position with the value of ``False`` will be unchanged.
2025-09-07T06:38:50.7324520Z     
2025-09-07T06:38:50.7324680Z                 - output: :math:`(T, E)` for unbatched input, :math:`(T, N, E)` if `batch_first=False` or
2025-09-07T06:38:50.7324760Z                   `(N, T, E)` if `batch_first=True`.
2025-09-07T06:38:50.7324800Z     
2025-09-07T06:38:50.7324950Z                 Note: Due to the multi-head attention architecture in the transformer model,
2025-09-07T06:38:50.7325090Z                 the output sequence length of a transformer is same as the input sequence
2025-09-07T06:38:50.7325160Z                 (i.e. target) length of the decoder.
2025-09-07T06:38:50.7325210Z     
2025-09-07T06:38:50.7325400Z                 where :math:`S` is the source sequence length, :math:`T` is the target sequence length, :math:`N` is the
2025-09-07T06:38:50.7325480Z                 batch size, :math:`E` is the feature number
2025-09-07T06:38:50.7325520Z     
2025-09-07T06:38:50.7325570Z             Examples:
2025-09-07T06:38:50.7325630Z                 >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7325690Z                 >>> output = transformer_model(
2025-09-07T06:38:50.7325790Z                 ...     src, tgt, src_mask=src_mask, tgt_mask=tgt_mask
2025-09-07T06:38:50.7325840Z                 ... )
2025-09-07T06:38:50.7325880Z             
2025-09-07T06:38:50.7326030Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7326100Z     
2025-09-07T06:38:50.7326150Z       warnings.warn(msg)
2025-09-07T06:38:50.7326190Z     
2025-09-07T06:38:50.7326290Z --- Parse Warning: 48 / 146 ---
2025-09-07T06:38:50.7326970Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=EmbeddingBag in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/sparse.py line=272.
2025-09-07T06:38:50.7327130Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7327320Z     Compute sums or means of 'bags' of embeddings, without instantiating the intermediate embeddings.
2025-09-07T06:38:50.7327360Z     
2025-09-07T06:38:50.7327550Z         For bags of constant length, no :attr:`per_sample_weights`, no indices equal to :attr:`padding_idx`,
2025-09-07T06:38:50.7327610Z         and with 2D inputs, this class
2025-09-07T06:38:50.7327650Z     
2025-09-07T06:38:50.7327840Z             * with ``mode="sum"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.sum(dim=1)``,
2025-09-07T06:38:50.7328020Z             * with ``mode="mean"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.mean(dim=1)``,
2025-09-07T06:38:50.7328200Z             * with ``mode="max"`` is equivalent to :class:`~torch.nn.Embedding` followed by ``torch.max(dim=1)``.
2025-09-07T06:38:50.7328240Z     
2025-09-07T06:38:50.7328450Z         However, :class:`~torch.nn.EmbeddingBag` is much more time and memory efficient than using a chain of these
2025-09-07T06:38:50.7328500Z         operations.
2025-09-07T06:38:50.7328540Z     
2025-09-07T06:38:50.7328700Z         EmbeddingBag also supports per-sample weights as an argument to the forward
2025-09-07T06:38:50.7328840Z         pass. This scales the output of the Embedding before performing a weighted
2025-09-07T06:38:50.7329010Z         reduction as specified by ``mode``. If :attr:`per_sample_weights` is passed, the
2025-09-07T06:38:50.7329150Z         only supported ``mode`` is ``"sum"``, which computes a weighted sum according to
2025-09-07T06:38:50.7329210Z         :attr:`per_sample_weights`.
2025-09-07T06:38:50.7329250Z     
2025-09-07T06:38:50.7329290Z         Args:
2025-09-07T06:38:50.7329400Z             num_embeddings (int): size of the dictionary of embeddings
2025-09-07T06:38:50.7329510Z             embedding_dim (int): the size of each embedding vector
2025-09-07T06:38:50.7329700Z             max_norm (float, optional): If given, each embedding vector with norm larger than :attr:`max_norm`
2025-09-07T06:38:50.7329800Z                                         is renormalized to have norm :attr:`max_norm`.
2025-09-07T06:38:50.7330020Z             norm_type (float, optional): The p of the p-norm to compute for the :attr:`max_norm` option. Default ``2``.
2025-09-07T06:38:50.7330220Z             scale_grad_by_freq (bool, optional): if given, this will scale gradients by the inverse of frequency of
2025-09-07T06:38:50.7330330Z                                                     the words in the mini-batch. Default ``False``.
2025-09-07T06:38:50.7330440Z                                                     Note: this option is not supported when ``mode="max"``.
2025-09-07T06:38:50.7330600Z             mode (str, optional): ``"sum"``, ``"mean"`` or ``"max"``. Specifies the way to reduce the bag.
2025-09-07T06:38:50.7330730Z                                      ``"sum"`` computes the weighted sum, taking :attr:`per_sample_weights`
2025-09-07T06:38:50.7330870Z                                      into consideration. ``"mean"`` computes the average of the values
2025-09-07T06:38:50.7330980Z                                      in the bag, ``"max"`` computes the max value over each bag.
2025-09-07T06:38:50.7331050Z                                      Default: ``"mean"``
2025-09-07T06:38:50.7331250Z             sparse (bool, optional): if ``True``, gradient w.r.t. :attr:`weight` matrix will be a sparse tensor. See
2025-09-07T06:38:50.7331430Z                                      Notes for more details regarding sparse gradients. Note: this option is not
2025-09-07T06:38:50.7331510Z                                      supported when ``mode="max"``.
2025-09-07T06:38:50.7331750Z             include_last_offset (bool, optional): if ``True``, :attr:`offsets` has one additional element, where the last element
2025-09-07T06:38:50.7331890Z                                           is equivalent to the size of `indices`. This matches the CSR format.
2025-09-07T06:38:50.7332090Z             padding_idx (int, optional): If specified, the entries at :attr:`padding_idx` do not contribute to the
2025-09-07T06:38:50.7332260Z                                          gradient; therefore, the embedding vector at :attr:`padding_idx` is not updated
2025-09-07T06:38:50.7332410Z                                          during training, i.e. it remains as a fixed "pad". For a newly constructed
2025-09-07T06:38:50.7332570Z                                          EmbeddingBag, the embedding vector at :attr:`padding_idx` will default to all
2025-09-07T06:38:50.7332720Z                                          zeros, but can be updated to another value to be used as the padding vector.
2025-09-07T06:38:50.7332870Z                                          Note that the embedding vector at :attr:`padding_idx` is excluded from the
2025-09-07T06:38:50.7332940Z                                          reduction.
2025-09-07T06:38:50.7332980Z     
2025-09-07T06:38:50.7333020Z         Attributes:
2025-09-07T06:38:50.7333220Z             weight (Tensor): the learnable weights of the module of shape `(num_embeddings, embedding_dim)`
2025-09-07T06:38:50.7333310Z                              initialized from :math:`\mathcal{N}(0, 1)`.
2025-09-07T06:38:50.7333350Z     
2025-09-07T06:38:50.7333390Z         Examples::
2025-09-07T06:38:50.7333430Z     
2025-09-07T06:38:50.7333550Z             >>> # an EmbeddingBag module containing 10 tensors of size 3
2025-09-07T06:38:50.7333650Z             >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum')
2025-09-07T06:38:50.7333740Z             >>> # a batch of 2 samples of 4 indices each
2025-09-07T06:38:50.7333850Z             >>> input = torch.tensor([1, 2, 4, 5, 4, 3, 2, 9], dtype=torch.long)
2025-09-07T06:38:50.7333940Z             >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-09-07T06:38:50.7334030Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-09-07T06:38:50.7334100Z             >>> embedding_sum(input, offsets)
2025-09-07T06:38:50.7334160Z             tensor([[-0.8861, -5.4350, -0.0523],
2025-09-07T06:38:50.7334240Z                     [ 1.1306, -2.5798, -1.0044]])
2025-09-07T06:38:50.7334280Z     
2025-09-07T06:38:50.7334340Z             >>> # Example with padding_idx
2025-09-07T06:38:50.7334470Z             >>> embedding_sum = nn.EmbeddingBag(10, 3, mode='sum', padding_idx=2)
2025-09-07T06:38:50.7334580Z             >>> input = torch.tensor([2, 2, 2, 2, 4, 3, 2, 9], dtype=torch.long)
2025-09-07T06:38:50.7334670Z             >>> offsets = torch.tensor([0, 4], dtype=torch.long)
2025-09-07T06:38:50.7334730Z             >>> embedding_sum(input, offsets)
2025-09-07T06:38:50.7334790Z             tensor([[ 0.0000,  0.0000,  0.0000],
2025-09-07T06:38:50.7334860Z                     [-0.7082,  3.2145, -2.6251]])
2025-09-07T06:38:50.7334900Z     
2025-09-07T06:38:50.7335000Z             >>> # An EmbeddingBag can be loaded from an Embedding like so
2025-09-07T06:38:50.7335090Z             >>> embedding = nn.Embedding(10, 3, padding_idx=2)
2025-09-07T06:38:50.7335190Z             >>> embedding_sum = nn.EmbeddingBag.from_pretrained(
2025-09-07T06:38:50.7335250Z                     embedding.weight,
2025-09-07T06:38:50.7335320Z                     padding_idx=embedding.padding_idx,
2025-09-07T06:38:50.7335380Z                     mode='sum')
2025-09-07T06:38:50.7335420Z         
2025-09-07T06:38:50.7335570Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7335630Z     
2025-09-07T06:38:50.7335680Z       warnings.warn(msg)
2025-09-07T06:38:50.7335720Z     
2025-09-07T06:38:50.7335820Z --- Parse Warning: 49 / 146 ---
2025-09-07T06:38:50.7336530Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=batch_isend_irecv in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2705.
2025-09-07T06:38:50.7336690Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7336730Z     
2025-09-07T06:38:50.7336880Z     Send or Receive a batch of tensors asynchronously and return a list of requests.
2025-09-07T06:38:50.7336920Z     
2025-09-07T06:38:50.7337070Z     Process each of the operations in ``p2p_op_list`` and return the corresponding
2025-09-07T06:38:50.7337190Z     requests. NCCL, Gloo, and UCC backend are currently supported.
2025-09-07T06:38:50.7337230Z     
2025-09-07T06:38:50.7337270Z     Args:
2025-09-07T06:38:50.7337410Z         p2p_op_list: A list of point-to-point operations(type of each operator is
2025-09-07T06:38:50.7337550Z             ``torch.distributed.P2POp``). The order of the isend/irecv in the list
2025-09-07T06:38:50.7337670Z             matters and it needs to match with corresponding isend/irecv on the
2025-09-07T06:38:50.7337720Z             remote end.
2025-09-07T06:38:50.7337760Z     
2025-09-07T06:38:50.7337800Z     Returns:
2025-09-07T06:38:50.7337950Z         A list of distributed request objects returned by calling the corresponding
2025-09-07T06:38:50.7338000Z         op in the op_list.
2025-09-07T06:38:50.7338040Z     
2025-09-07T06:38:50.7338080Z     Examples:
2025-09-07T06:38:50.7338140Z         >>> # xdoctest: +SKIP("no rank")
2025-09-07T06:38:50.7338290Z         >>> send_tensor = torch.arange(2, dtype=torch.float32) + 2 * rank
2025-09-07T06:38:50.7338390Z         >>> recv_tensor = torch.randn(2, dtype=torch.float32)
2025-09-07T06:38:50.7338520Z         >>> send_op = dist.P2POp(dist.isend, send_tensor, (rank + 1) % world_size)
2025-09-07T06:38:50.7338570Z         >>> recv_op = dist.P2POp(
2025-09-07T06:38:50.7338690Z         ...     dist.irecv, recv_tensor, (rank - 1 + world_size) % world_size
2025-09-07T06:38:50.7338730Z         ... )
2025-09-07T06:38:50.7338810Z         >>> reqs = batch_isend_irecv([send_op, recv_op])
2025-09-07T06:38:50.7338870Z         >>> for req in reqs:
2025-09-07T06:38:50.7338910Z         >>>     req.wait()
2025-09-07T06:38:50.7338960Z         >>> recv_tensor
2025-09-07T06:38:50.7339010Z         tensor([2, 3])     # Rank 0
2025-09-07T06:38:50.7339100Z         tensor([0, 1])     # Rank 1
2025-09-07T06:38:50.7339140Z     
2025-09-07T06:38:50.7339290Z     .. note:: Note that when this API is used with the NCCL PG backend, users must set
2025-09-07T06:38:50.7339420Z         the current GPU device with `torch.cuda.set_device`, otherwise it will
2025-09-07T06:38:50.7339480Z         lead to unexpected hang issues.
2025-09-07T06:38:50.7339530Z     
2025-09-07T06:38:50.7339650Z         In addition, if this API is the first collective call in the ``group``
2025-09-07T06:38:50.7339780Z         passed to ``dist.P2POp``, all ranks of the ``group`` must participate in
2025-09-07T06:38:50.7339920Z         this API call; otherwise, the behavior is undefined. If this API call is
2025-09-07T06:38:50.7340050Z         not the first collective call in the ``group``, batched P2P operations
2025-09-07T06:38:50.7340170Z         involving only a subset of ranks of the ``group`` are allowed.
2025-09-07T06:38:50.7340220Z     
2025-09-07T06:38:50.7340360Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7340400Z     
2025-09-07T06:38:50.7340450Z       warnings.warn(msg)
2025-09-07T06:38:50.7340490Z     
2025-09-07T06:38:50.7340590Z --- Parse Warning: 50 / 146 ---
2025-09-07T06:38:50.7341270Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_reduce in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=2837.
2025-09-07T06:38:50.7341450Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7341520Z     
2025-09-07T06:38:50.7341680Z     Reduces the tensor data across all machines in a way that all get the final result.
2025-09-07T06:38:50.7341720Z     
2025-09-07T06:38:50.7341860Z     After the call ``tensor`` is going to be bitwise identical in all processes.
2025-09-07T06:38:50.7341900Z     
2025-09-07T06:38:50.7341960Z     Complex tensors are supported.
2025-09-07T06:38:50.7342000Z     
2025-09-07T06:38:50.7342040Z     Args:
2025-09-07T06:38:50.7342160Z         tensor (Tensor): Input and output of the collective. The function
2025-09-07T06:38:50.7342220Z             operates in-place.
2025-09-07T06:38:50.7342290Z         op (optional): One of the values from
2025-09-07T06:38:50.7342360Z             ``torch.distributed.ReduceOp``
2025-09-07T06:38:50.7342480Z             enum.  Specifies an operation used for element-wise reductions.
2025-09-07T06:38:50.7342620Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-09-07T06:38:50.7342700Z             the default process group will be used.
2025-09-07T06:38:50.7342820Z         async_op (bool, optional): Whether this op should be an async op
2025-09-07T06:38:50.7342860Z     
2025-09-07T06:38:50.7342900Z     Returns:
2025-09-07T06:38:50.7342980Z         Async work handle, if async_op is set to True.
2025-09-07T06:38:50.7343070Z         None, if not async_op or if not part of the group
2025-09-07T06:38:50.7343110Z     
2025-09-07T06:38:50.7343150Z     Examples:
2025-09-07T06:38:50.7343210Z         >>> # xdoctest: +SKIP("no rank")
2025-09-07T06:38:50.7343310Z         >>> # All tensors below are of torch.int64 type.
2025-09-07T06:38:50.7343390Z         >>> # We have 2 process groups, 2 ranks.
2025-09-07T06:38:50.7343460Z         >>> device = torch.device(f"cuda:{rank}")
2025-09-07T06:38:50.7346330Z         >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-09-07T06:38:50.7346380Z         >>> tensor
2025-09-07T06:38:50.7346450Z         tensor([1, 2], device='cuda:0') # Rank 0
2025-09-07T06:38:50.7346520Z         tensor([3, 4], device='cuda:1') # Rank 1
2025-09-07T06:38:50.7346600Z         >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-09-07T06:38:50.7346640Z         >>> tensor
2025-09-07T06:38:50.7346710Z         tensor([4, 6], device='cuda:0') # Rank 0
2025-09-07T06:38:50.7346830Z         tensor([4, 6], device='cuda:1') # Rank 1
2025-09-07T06:38:50.7346870Z     
2025-09-07T06:38:50.7346950Z         >>> # All tensors below are of torch.cfloat type.
2025-09-07T06:38:50.7347020Z         >>> # We have 2 process groups, 2 ranks.
2025-09-07T06:38:50.7347080Z         >>> tensor = torch.tensor(
2025-09-07T06:38:50.7347170Z         ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-09-07T06:38:50.7347230Z         ... ) + 2 * rank * (1 + 1j)
2025-09-07T06:38:50.7347270Z         >>> tensor
2025-09-07T06:38:50.7347350Z         tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-09-07T06:38:50.7347440Z         tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-09-07T06:38:50.7347520Z         >>> dist.all_reduce(tensor, op=ReduceOp.SUM)
2025-09-07T06:38:50.7347560Z         >>> tensor
2025-09-07T06:38:50.7347640Z         tensor([4.+4.j, 6.+6.j], device='cuda:0') # Rank 0
2025-09-07T06:38:50.7347720Z         tensor([4.+4.j, 6.+6.j], device='cuda:1') # Rank 1
2025-09-07T06:38:50.7347760Z     
2025-09-07T06:38:50.7347800Z     
2025-09-07T06:38:50.7347950Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7347990Z     
2025-09-07T06:38:50.7348040Z       warnings.warn(msg)
2025-09-07T06:38:50.7348080Z     
2025-09-07T06:38:50.7348200Z --- Parse Warning: 51 / 146 ---
2025-09-07T06:38:50.7348930Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=gather_object in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3201.
2025-09-07T06:38:50.7349110Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7349150Z     
2025-09-07T06:38:50.7349280Z     Gathers picklable objects from the whole group in a single process.
2025-09-07T06:38:50.7349320Z     
2025-09-07T06:38:50.7349460Z     Similar to :func:`gather`, but Python objects can be passed in. Note that the
2025-09-07T06:38:50.7349550Z     object must be picklable in order to be gathered.
2025-09-07T06:38:50.7349590Z     
2025-09-07T06:38:50.7349630Z     Args:
2025-09-07T06:38:50.7349710Z         obj (Any): Input object. Must be picklable.
2025-09-07T06:38:50.7349840Z         object_gather_list (list[Any]): Output list. On the ``dst`` rank, it
2025-09-07T06:38:50.7349960Z             should be correctly sized as the size of the group for this
2025-09-07T06:38:50.7350080Z             collective and will contain the output. Must be ``None`` on non-dst
2025-09-07T06:38:50.7350150Z             ranks. (default is ``None``)
2025-09-07T06:38:50.7350340Z         dst (int, optional): Destination rank on global process group (regardless of ``group`` argument).
2025-09-07T06:38:50.7350460Z             (If both ``dst`` and ``group_dst`` are None, default is global rank 0)
2025-09-07T06:38:50.7350600Z         group: (ProcessGroup, optional): The process group to work on. If None,
2025-09-07T06:38:50.7350720Z             the default process group will be used. Default is ``None``.
2025-09-07T06:38:50.7350950Z         group_dst (int, optional): Destination rank on ``group``.  Invalid to specify both ``dst`` and ``group_dst``
2025-09-07T06:38:50.7350990Z     
2025-09-07T06:38:50.7351030Z     Returns:
2025-09-07T06:38:50.7351150Z         None. On the ``dst`` rank, ``object_gather_list`` will contain the
2025-09-07T06:38:50.7351200Z         output of the collective.
2025-09-07T06:38:50.7351240Z     
2025-09-07T06:38:50.7351370Z     .. note:: Note that this API differs slightly from the gather collective
2025-09-07T06:38:50.7351510Z         since it does not provide an async_op handle and thus will be a blocking
2025-09-07T06:38:50.7351550Z         call.
2025-09-07T06:38:50.7351590Z     
2025-09-07T06:38:50.7351720Z     .. note:: For NCCL-based processed groups, internal tensor representations
2025-09-07T06:38:50.7351850Z         of objects must be moved to the GPU device before communication takes
2025-09-07T06:38:50.7351960Z         place. In this case, the device used is given by
2025-09-07T06:38:50.7352100Z         ``torch.cuda.current_device()`` and it is the user's responsibility to
2025-09-07T06:38:50.7352220Z         ensure that this is set so that each rank has an individual GPU, via
2025-09-07T06:38:50.7352280Z         ``torch.cuda.set_device()``.
2025-09-07T06:38:50.7352320Z     
2025-09-07T06:38:50.7352370Z     .. warning::
2025-09-07T06:38:50.7352510Z         Object collectives have a number of serious performance and scalability
2025-09-07T06:38:50.7352610Z         limitations.  See :ref:`object_collectives` for details.
2025-09-07T06:38:50.7352650Z     
2025-09-07T06:38:50.7352700Z     .. warning::
2025-09-07T06:38:50.7352820Z         :func:`gather_object` uses ``pickle`` module implicitly, which is
2025-09-07T06:38:50.7352950Z         known to be insecure. It is possible to construct malicious pickle data
2025-09-07T06:38:50.7353080Z         which will execute arbitrary code during unpickling. Only call this
2025-09-07T06:38:50.7353140Z         function with data you trust.
2025-09-07T06:38:50.7353180Z     
2025-09-07T06:38:50.7353220Z     .. warning::
2025-09-07T06:38:50.7353360Z         Calling :func:`gather_object` with GPU tensors is not well supported
2025-09-07T06:38:50.7353520Z         and inefficient as it incurs GPU -> CPU transfer since tensors would be
2025-09-07T06:38:50.7353620Z         pickled. Please consider using :func:`gather` instead.
2025-09-07T06:38:50.7353660Z     
2025-09-07T06:38:50.7353710Z     Example::
2025-09-07T06:38:50.7353790Z         >>> # xdoctest: +SKIP("need process group init")
2025-09-07T06:38:50.7353920Z         >>> # Note: Process group initialization omitted on each rank.
2025-09-07T06:38:50.7353990Z         >>> import torch.distributed as dist
2025-09-07T06:38:50.7354050Z         >>> # Assumes world_size of 3.
2025-09-07T06:38:50.7354160Z         >>> gather_objects = ["foo", 12, {1: 2}] # any picklable object
2025-09-07T06:38:50.7354230Z         >>> output = [None for _ in gather_objects]
2025-09-07T06:38:50.7354290Z         >>> dist.gather_object(
2025-09-07T06:38:50.7354360Z         ...     gather_objects[dist.get_rank()],
2025-09-07T06:38:50.7354440Z         ...     output if dist.get_rank() == 0 else None,
2025-09-07T06:38:50.7354490Z         ...     dst=0
2025-09-07T06:38:50.7354530Z         ... )
2025-09-07T06:38:50.7354570Z         >>> # On rank 0
2025-09-07T06:38:50.7354610Z         >>> output
2025-09-07T06:38:50.7354660Z         ['foo', 12, {1: 2}]
2025-09-07T06:38:50.7354700Z     
2025-09-07T06:38:50.7354850Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7354890Z     
2025-09-07T06:38:50.7354940Z       warnings.warn(msg)
2025-09-07T06:38:50.7354980Z     
2025-09-07T06:38:50.7355080Z --- Parse Warning: 52 / 146 ---
2025-09-07T06:38:50.7355790Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_gather in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=3849.
2025-09-07T06:38:50.7355970Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7356010Z     
2025-09-07T06:38:50.7356100Z     Gathers tensors from the whole group in a list.
2025-09-07T06:38:50.7356140Z     
2025-09-07T06:38:50.7356220Z     Complex and uneven sized tensors are supported.
2025-09-07T06:38:50.7356260Z     
2025-09-07T06:38:50.7356300Z     Args:
2025-09-07T06:38:50.7356410Z         tensor_list (list[Tensor]): Output list. It should contain
2025-09-07T06:38:50.7356540Z             correctly-sized tensors to be used for output of the collective.
2025-09-07T06:38:50.7356610Z             Uneven sized tensors are supported.
2025-09-07T06:38:50.7356720Z         tensor (Tensor): Tensor to be broadcast from current process.
2025-09-07T06:38:50.7356880Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-09-07T06:38:50.7356960Z             the default process group will be used.
2025-09-07T06:38:50.7357070Z         async_op (bool, optional): Whether this op should be an async op
2025-09-07T06:38:50.7357120Z     
2025-09-07T06:38:50.7357160Z     Returns:
2025-09-07T06:38:50.7357240Z         Async work handle, if async_op is set to True.
2025-09-07T06:38:50.7357330Z         None, if not async_op or if not part of the group
2025-09-07T06:38:50.7357370Z     
2025-09-07T06:38:50.7357410Z     Examples:
2025-09-07T06:38:50.7357490Z         >>> # xdoctest: +SKIP("need process group init")
2025-09-07T06:38:50.7357570Z         >>> # All tensors below are of torch.int64 dtype.
2025-09-07T06:38:50.7357650Z         >>> # We have 2 process groups, 2 ranks.
2025-09-07T06:38:50.7357710Z         >>> device = torch.device(f"cuda:{rank}")
2025-09-07T06:38:50.7357760Z         >>> tensor_list = [
2025-09-07T06:38:50.7357890Z         ...     torch.zeros(2, dtype=torch.int64, device=device) for _ in range(2)
2025-09-07T06:38:50.7357930Z         ... ]
2025-09-07T06:38:50.7357980Z         >>> tensor_list
2025-09-07T06:38:50.7358100Z         [tensor([0, 0], device='cuda:0'), tensor([0, 0], device='cuda:0')] # Rank 0
2025-09-07T06:38:50.7358230Z         [tensor([0, 0], device='cuda:1'), tensor([0, 0], device='cuda:1')] # Rank 1
2025-09-07T06:38:50.7358380Z         >>> tensor = torch.arange(2, dtype=torch.int64, device=device) + 1 + 2 * rank
2025-09-07T06:38:50.7358430Z         >>> tensor
2025-09-07T06:38:50.7358500Z         tensor([1, 2], device='cuda:0') # Rank 0
2025-09-07T06:38:50.7358560Z         tensor([3, 4], device='cuda:1') # Rank 1
2025-09-07T06:38:50.7358650Z         >>> dist.all_gather(tensor_list, tensor)
2025-09-07T06:38:50.7358700Z         >>> tensor_list
2025-09-07T06:38:50.7358820Z         [tensor([1, 2], device='cuda:0'), tensor([3, 4], device='cuda:0')] # Rank 0
2025-09-07T06:38:50.7358930Z         [tensor([1, 2], device='cuda:1'), tensor([3, 4], device='cuda:1')] # Rank 1
2025-09-07T06:38:50.7358970Z     
2025-09-07T06:38:50.7359060Z         >>> # All tensors below are of torch.cfloat dtype.
2025-09-07T06:38:50.7359130Z         >>> # We have 2 process groups, 2 ranks.
2025-09-07T06:38:50.7359180Z         >>> tensor_list = [
2025-09-07T06:38:50.7359310Z         ...     torch.zeros(2, dtype=torch.cfloat, device=device) for _ in range(2)
2025-09-07T06:38:50.7359350Z         ... ]
2025-09-07T06:38:50.7359400Z         >>> tensor_list
2025-09-07T06:38:50.7359550Z         [tensor([0.+0.j, 0.+0.j], device='cuda:0'), tensor([0.+0.j, 0.+0.j], device='cuda:0')] # Rank 0
2025-09-07T06:38:50.7359700Z         [tensor([0.+0.j, 0.+0.j], device='cuda:1'), tensor([0.+0.j, 0.+0.j], device='cuda:1')] # Rank 1
2025-09-07T06:38:50.7359760Z         >>> tensor = torch.tensor(
2025-09-07T06:38:50.7359850Z         ...     [1 + 1j, 2 + 2j], dtype=torch.cfloat, device=device
2025-09-07T06:38:50.7359900Z         ... ) + 2 * rank * (1 + 1j)
2025-09-07T06:38:50.7359950Z         >>> tensor
2025-09-07T06:38:50.7360030Z         tensor([1.+1.j, 2.+2.j], device='cuda:0') # Rank 0
2025-09-07T06:38:50.7360110Z         tensor([3.+3.j, 4.+4.j], device='cuda:1') # Rank 1
2025-09-07T06:38:50.7360220Z         >>> dist.all_gather(tensor_list, tensor)
2025-09-07T06:38:50.7360270Z         >>> tensor_list
2025-09-07T06:38:50.7360420Z         [tensor([1.+1.j, 2.+2.j], device='cuda:0'), tensor([3.+3.j, 4.+4.j], device='cuda:0')] # Rank 0
2025-09-07T06:38:50.7360560Z         [tensor([1.+1.j, 2.+2.j], device='cuda:1'), tensor([3.+3.j, 4.+4.j], device='cuda:1')] # Rank 1
2025-09-07T06:38:50.7360600Z     
2025-09-07T06:38:50.7360640Z     
2025-09-07T06:38:50.7360790Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7360830Z     
2025-09-07T06:38:50.7360880Z       warnings.warn(msg)
2025-09-07T06:38:50.7360920Z     
2025-09-07T06:38:50.7361020Z --- Parse Warning: 53 / 146 ---
2025-09-07T06:38:50.7361710Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all_single in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4555.
2025-09-07T06:38:50.7361900Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7361940Z     
2025-09-07T06:38:50.7362100Z     Split input tensor and then scatter the split list to all processes in a group.
2025-09-07T06:38:50.7362130Z     
2025-09-07T06:38:50.7362290Z     Later the received tensors are concatenated from all the processes in the group
2025-09-07T06:38:50.7362360Z     and returned as a single output tensor.
2025-09-07T06:38:50.7362400Z     
2025-09-07T06:38:50.7362460Z     Complex tensors are supported.
2025-09-07T06:38:50.7362490Z     
2025-09-07T06:38:50.7362530Z     Args:
2025-09-07T06:38:50.7362630Z         output (Tensor): Gathered concatenated output tensor.
2025-09-07T06:38:50.7362710Z         input (Tensor): Input tensor to scatter.
2025-09-07T06:38:50.7362840Z         output_split_sizes: (list[Int], optional): Output split sizes for dim 0
2025-09-07T06:38:50.7362970Z             if specified None or empty, dim 0 of ``output`` tensor must divide
2025-09-07T06:38:50.7363030Z             equally by ``world_size``.
2025-09-07T06:38:50.7363180Z         input_split_sizes: (list[Int], optional): Input split sizes for dim 0
2025-09-07T06:38:50.7363300Z             if specified None or empty, dim 0 of ``input`` tensor must divide
2025-09-07T06:38:50.7363360Z             equally by ``world_size``.
2025-09-07T06:38:50.7363520Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-09-07T06:38:50.7363600Z             the default process group will be used.
2025-09-07T06:38:50.7363720Z         async_op (bool, optional): Whether this op should be an async op.
2025-09-07T06:38:50.7363760Z     
2025-09-07T06:38:50.7363800Z     Returns:
2025-09-07T06:38:50.7363890Z         Async work handle, if async_op is set to True.
2025-09-07T06:38:50.7363970Z         None, if not async_op or if not part of the group.
2025-09-07T06:38:50.7364010Z     
2025-09-07T06:38:50.7364060Z     .. warning::
2025-09-07T06:38:50.7364160Z         `all_to_all_single` is experimental and subject to change.
2025-09-07T06:38:50.7364210Z     
2025-09-07T06:38:50.7364250Z     Examples:
2025-09-07T06:38:50.7364320Z         >>> # xdoctest: +SKIP("Undefined rank")
2025-09-07T06:38:50.7364380Z         >>> input = torch.arange(4) + rank * 4
2025-09-07T06:38:50.7364420Z         >>> input
2025-09-07T06:38:50.7364480Z         tensor([0, 1, 2, 3])     # Rank 0
2025-09-07T06:38:50.7364540Z         tensor([4, 5, 6, 7])     # Rank 1
2025-09-07T06:38:50.7364590Z         tensor([8, 9, 10, 11])   # Rank 2
2025-09-07T06:38:50.7364650Z         tensor([12, 13, 14, 15]) # Rank 3
2025-09-07T06:38:50.7364730Z         >>> output = torch.empty([4], dtype=torch.int64)
2025-09-07T06:38:50.7364800Z         >>> dist.all_to_all_single(output, input)
2025-09-07T06:38:50.7364850Z         >>> output
2025-09-07T06:38:50.7364900Z         tensor([0, 4, 8, 12])    # Rank 0
2025-09-07T06:38:50.7364950Z         tensor([1, 5, 9, 13])    # Rank 1
2025-09-07T06:38:50.7365030Z         tensor([2, 6, 10, 14])   # Rank 2
2025-09-07T06:38:50.7365080Z         tensor([3, 7, 11, 15])   # Rank 3
2025-09-07T06:38:50.7365120Z     
2025-09-07T06:38:50.7365220Z         >>> # Essentially, it is similar to following operation:
2025-09-07T06:38:50.7365310Z         >>> scatter_list = list(input.chunk(world_size))
2025-09-07T06:38:50.7365390Z         >>> gather_list = list(output.chunk(world_size))
2025-09-07T06:38:50.7365450Z         >>> for i in range(world_size):
2025-09-07T06:38:50.7365580Z         >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src = i)
2025-09-07T06:38:50.7365620Z     
2025-09-07T06:38:50.7365690Z         >>> # Another example with uneven split
2025-09-07T06:38:50.7365760Z         >>> input
2025-09-07T06:38:50.7365860Z         tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-09-07T06:38:50.7365960Z         tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-09-07T06:38:50.7366060Z         tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-09-07T06:38:50.7366150Z         tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-09-07T06:38:50.7366200Z         >>> input_splits
2025-09-07T06:38:50.7366280Z         [2, 2, 1, 1]                                                     # Rank 0
2025-09-07T06:38:50.7366360Z         [3, 2, 2, 2]                                                     # Rank 1
2025-09-07T06:38:50.7366430Z         [2, 1, 1, 1]                                                     # Rank 2
2025-09-07T06:38:50.7366510Z         [2, 2, 2, 1]                                                     # Rank 3
2025-09-07T06:38:50.7366560Z         >>> output_splits
2025-09-07T06:38:50.7366630Z         [2, 3, 2, 2]                                                     # Rank 0
2025-09-07T06:38:50.7366710Z         [2, 2, 1, 2]                                                     # Rank 1
2025-09-07T06:38:50.7366790Z         [1, 2, 1, 2]                                                     # Rank 2
2025-09-07T06:38:50.7366860Z         [1, 2, 1, 1]                                                     # Rank 3
2025-09-07T06:38:50.7366940Z         >>> output = ...
2025-09-07T06:38:50.7367070Z         >>> dist.all_to_all_single(output, input, output_splits, input_splits)
2025-09-07T06:38:50.7367110Z         >>> output
2025-09-07T06:38:50.7367200Z         tensor([ 0,  1, 10, 11, 12, 20, 21, 30, 31])                     # Rank 0
2025-09-07T06:38:50.7367320Z         tensor([ 2,  3, 13, 14, 22, 32, 33])                             # Rank 1
2025-09-07T06:38:50.7367410Z         tensor([ 4, 15, 16, 23, 34, 35])                                 # Rank 2
2025-09-07T06:38:50.7367510Z         tensor([ 5, 17, 18, 24, 36])                                     # Rank 3
2025-09-07T06:38:50.7367550Z     
2025-09-07T06:38:50.7367590Z     
2025-09-07T06:38:50.7367690Z         >>> # Another example with tensors of torch.cfloat type.
2025-09-07T06:38:50.7367750Z         >>> input = torch.tensor(
2025-09-07T06:38:50.7367830Z         ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-09-07T06:38:50.7367890Z         ... ) + 4 * rank * (1 + 1j)
2025-09-07T06:38:50.7367930Z         >>> input
2025-09-07T06:38:50.7368040Z         tensor([1+1j, 2+2j, 3+3j, 4+4j])                                # Rank 0
2025-09-07T06:38:50.7368140Z         tensor([5+5j, 6+6j, 7+7j, 8+8j])                                # Rank 1
2025-09-07T06:38:50.7368250Z         tensor([9+9j, 10+10j, 11+11j, 12+12j])                          # Rank 2
2025-09-07T06:38:50.7368360Z         tensor([13+13j, 14+14j, 15+15j, 16+16j])                        # Rank 3
2025-09-07T06:38:50.7368440Z         >>> output = torch.empty([4], dtype=torch.int64)
2025-09-07T06:38:50.7368520Z         >>> dist.all_to_all_single(output, input)
2025-09-07T06:38:50.7368560Z         >>> output
2025-09-07T06:38:50.7368660Z         tensor([1+1j, 5+5j, 9+9j, 13+13j])                              # Rank 0
2025-09-07T06:38:50.7368790Z         tensor([2+2j, 6+6j, 10+10j, 14+14j])                            # Rank 1
2025-09-07T06:38:50.7368890Z         tensor([3+3j, 7+7j, 11+11j, 15+15j])                            # Rank 2
2025-09-07T06:38:50.7369000Z         tensor([4+4j, 8+8j, 12+12j, 16+16j])                            # Rank 3
2025-09-07T06:38:50.7369040Z     
2025-09-07T06:38:50.7369180Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7369220Z     
2025-09-07T06:38:50.7369280Z       warnings.warn(msg)
2025-09-07T06:38:50.7369320Z     
2025-09-07T06:38:50.7369420Z --- Parse Warning: 54 / 146 ---
2025-09-07T06:38:50.7370090Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=all_to_all in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/distributed_c10d.py line=4697.
2025-09-07T06:38:50.7370270Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7370310Z     
2025-09-07T06:38:50.7370530Z     Scatters list of input tensors to all processes in a group and return gathered list of tensors in output list.
2025-09-07T06:38:50.7370570Z     
2025-09-07T06:38:50.7370630Z     Complex tensors are supported.
2025-09-07T06:38:50.7370670Z     
2025-09-07T06:38:50.7370710Z     Args:
2025-09-07T06:38:50.7370840Z         output_tensor_list (list[Tensor]): List of tensors to be gathered one
2025-09-07T06:38:50.7370890Z             per rank.
2025-09-07T06:38:50.7371020Z         input_tensor_list (list[Tensor]): List of tensors to scatter one per rank.
2025-09-07T06:38:50.7371160Z         group (ProcessGroup, optional): The process group to work on. If None,
2025-09-07T06:38:50.7371240Z             the default process group will be used.
2025-09-07T06:38:50.7371360Z         async_op (bool, optional): Whether this op should be an async op.
2025-09-07T06:38:50.7371400Z     
2025-09-07T06:38:50.7371440Z     Returns:
2025-09-07T06:38:50.7371520Z         Async work handle, if async_op is set to True.
2025-09-07T06:38:50.7371640Z         None, if not async_op or if not part of the group.
2025-09-07T06:38:50.7371680Z     
2025-09-07T06:38:50.7371720Z     .. warning::
2025-09-07T06:38:50.7371810Z         `all_to_all` is experimental and subject to change.
2025-09-07T06:38:50.7371850Z     
2025-09-07T06:38:50.7371890Z     Examples:
2025-09-07T06:38:50.7371980Z         >>> # xdoctest: +SKIP("Undefined rank")
2025-09-07T06:38:50.7372050Z         >>> input = torch.arange(4) + rank * 4
2025-09-07T06:38:50.7372110Z         >>> input = list(input.chunk(4))
2025-09-07T06:38:50.7372150Z         >>> input
2025-09-07T06:38:50.7372260Z         [tensor([0]), tensor([1]), tensor([2]), tensor([3])]     # Rank 0
2025-09-07T06:38:50.7372370Z         [tensor([4]), tensor([5]), tensor([6]), tensor([7])]     # Rank 1
2025-09-07T06:38:50.7372460Z         [tensor([8]), tensor([9]), tensor([10]), tensor([11])]   # Rank 2
2025-09-07T06:38:50.7372570Z         [tensor([12]), tensor([13]), tensor([14]), tensor([15])] # Rank 3
2025-09-07T06:38:50.7372680Z         >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-09-07T06:38:50.7372740Z         >>> dist.all_to_all(output, input)
2025-09-07T06:38:50.7372780Z         >>> output
2025-09-07T06:38:50.7372880Z         [tensor([0]), tensor([4]), tensor([8]), tensor([12])]    # Rank 0
2025-09-07T06:38:50.7372980Z         [tensor([1]), tensor([5]), tensor([9]), tensor([13])]    # Rank 1
2025-09-07T06:38:50.7373070Z         [tensor([2]), tensor([6]), tensor([10]), tensor([14])]   # Rank 2
2025-09-07T06:38:50.7373170Z         [tensor([3]), tensor([7]), tensor([11]), tensor([15])]   # Rank 3
2025-09-07T06:38:50.7373210Z     
2025-09-07T06:38:50.7373310Z         >>> # Essentially, it is similar to following operation:
2025-09-07T06:38:50.7373360Z         >>> scatter_list = input
2025-09-07T06:38:50.7373420Z         >>> gather_list = output
2025-09-07T06:38:50.7373500Z         >>> for i in range(world_size):
2025-09-07T06:38:50.7373640Z         >>>     dist.scatter(gather_list[i], scatter_list if i == rank else [], src=i)
2025-09-07T06:38:50.7373680Z     
2025-09-07T06:38:50.7373720Z         >>> input
2025-09-07T06:38:50.7373810Z         tensor([0, 1, 2, 3, 4, 5])                                       # Rank 0
2025-09-07T06:38:50.7373910Z         tensor([10, 11, 12, 13, 14, 15, 16, 17, 18])                     # Rank 1
2025-09-07T06:38:50.7374010Z         tensor([20, 21, 22, 23, 24])                                     # Rank 2
2025-09-07T06:38:50.7374100Z         tensor([30, 31, 32, 33, 34, 35, 36])                             # Rank 3
2025-09-07T06:38:50.7374150Z         >>> input_splits
2025-09-07T06:38:50.7374310Z         [2, 2, 1, 1]                                                     # Rank 0
2025-09-07T06:38:50.7374390Z         [3, 2, 2, 2]                                                     # Rank 1
2025-09-07T06:38:50.7374460Z         [2, 1, 1, 1]                                                     # Rank 2
2025-09-07T06:38:50.7374540Z         [2, 2, 2, 1]                                                     # Rank 3
2025-09-07T06:38:50.7374590Z         >>> output_splits
2025-09-07T06:38:50.7374660Z         [2, 3, 2, 2]                                                     # Rank 0
2025-09-07T06:38:50.7374740Z         [2, 2, 1, 2]                                                     # Rank 1
2025-09-07T06:38:50.7374810Z         [1, 2, 1, 2]                                                     # Rank 2
2025-09-07T06:38:50.7374890Z         [1, 2, 1, 1]                                                     # Rank 3
2025-09-07T06:38:50.7374970Z         >>> input = list(input.split(input_splits))
2025-09-07T06:38:50.7375010Z         >>> input
2025-09-07T06:38:50.7375140Z         [tensor([0, 1]), tensor([2, 3]), tensor([4]), tensor([5])]                   # Rank 0
2025-09-07T06:38:50.7375260Z         [tensor([10, 11, 12]), tensor([13, 14]), tensor([15, 16]), tensor([17, 18])] # Rank 1
2025-09-07T06:38:50.7375390Z         [tensor([20, 21]), tensor([22]), tensor([23]), tensor([24])]                 # Rank 2
2025-09-07T06:38:50.7375530Z         [tensor([30, 31]), tensor([32, 33]), tensor([34, 35]), tensor([36])]         # Rank 3
2025-09-07T06:38:50.7375580Z         >>> output = ...
2025-09-07T06:38:50.7375650Z         >>> dist.all_to_all(output, input)
2025-09-07T06:38:50.7375690Z         >>> output
2025-09-07T06:38:50.7375830Z         [tensor([0, 1]), tensor([10, 11, 12]), tensor([20, 21]), tensor([30, 31])]   # Rank 0
2025-09-07T06:38:50.7375950Z         [tensor([2, 3]), tensor([13, 14]), tensor([22]), tensor([32, 33])]           # Rank 1
2025-09-07T06:38:50.7376070Z         [tensor([4]), tensor([15, 16]), tensor([23]), tensor([34, 35])]              # Rank 2
2025-09-07T06:38:50.7376200Z         [tensor([5]), tensor([17, 18]), tensor([24]), tensor([36])]                  # Rank 3
2025-09-07T06:38:50.7376240Z     
2025-09-07T06:38:50.7376340Z         >>> # Another example with tensors of torch.cfloat type.
2025-09-07T06:38:50.7376390Z         >>> input = torch.tensor(
2025-09-07T06:38:50.7376480Z         ...     [1 + 1j, 2 + 2j, 3 + 3j, 4 + 4j], dtype=torch.cfloat
2025-09-07T06:38:50.7376540Z         ... ) + 4 * rank * (1 + 1j)
2025-09-07T06:38:50.7376600Z         >>> input = list(input.chunk(4))
2025-09-07T06:38:50.7376640Z         >>> input
2025-09-07T06:38:50.7376770Z         [tensor([1+1j]), tensor([2+2j]), tensor([3+3j]), tensor([4+4j])]            # Rank 0
2025-09-07T06:38:50.7376900Z         [tensor([5+5j]), tensor([6+6j]), tensor([7+7j]), tensor([8+8j])]            # Rank 1
2025-09-07T06:38:50.7377030Z         [tensor([9+9j]), tensor([10+10j]), tensor([11+11j]), tensor([12+12j])]      # Rank 2
2025-09-07T06:38:50.7377160Z         [tensor([13+13j]), tensor([14+14j]), tensor([15+15j]), tensor([16+16j])]    # Rank 3
2025-09-07T06:38:50.7377270Z         >>> output = list(torch.empty([4], dtype=torch.int64).chunk(4))
2025-09-07T06:38:50.7377340Z         >>> dist.all_to_all(output, input)
2025-09-07T06:38:50.7377410Z         >>> output
2025-09-07T06:38:50.7377540Z         [tensor([1+1j]), tensor([5+5j]), tensor([9+9j]), tensor([13+13j])]          # Rank 0
2025-09-07T06:38:50.7377670Z         [tensor([2+2j]), tensor([6+6j]), tensor([10+10j]), tensor([14+14j])]        # Rank 1
2025-09-07T06:38:50.7377790Z         [tensor([3+3j]), tensor([7+7j]), tensor([11+11j]), tensor([15+15j])]        # Rank 2
2025-09-07T06:38:50.7377920Z         [tensor([4+4j]), tensor([8+8j]), tensor([12+12j]), tensor([16+16j])]        # Rank 3
2025-09-07T06:38:50.7377960Z     
2025-09-07T06:38:50.7378000Z     
2025-09-07T06:38:50.7378150Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7378190Z     
2025-09-07T06:38:50.7378270Z       warnings.warn(msg)
2025-09-07T06:38:50.7378310Z     
2025-09-07T06:38:50.7378410Z --- Parse Warning: 55 / 146 ---
2025-09-07T06:38:50.7379050Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=__doc__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/launch.py line=2.
2025-09-07T06:38:50.7379210Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7379250Z     
2025-09-07T06:38:50.7379310Z     Module ``torch.distributed.launch``.
2025-09-07T06:38:50.7379360Z     
2025-09-07T06:38:50.7379500Z     ``torch.distributed.launch`` is a module that spawns up multiple distributed
2025-09-07T06:38:50.7379600Z     training processes on each of the training nodes.
2025-09-07T06:38:50.7379630Z     
2025-09-07T06:38:50.7379680Z     .. warning::
2025-09-07T06:38:50.7379720Z     
2025-09-07T06:38:50.7379870Z         This module is going to be deprecated in favor of :ref:`torchrun <launcher-api>`.
2025-09-07T06:38:50.7379910Z     
2025-09-07T06:38:50.7380050Z     The utility can be used for single-node distributed training, in which one or
2025-09-07T06:38:50.7380200Z     more processes per node will be spawned. The utility can be used for either
2025-09-07T06:38:50.7380350Z     CPU training or GPU training. If the utility is used for GPU training,
2025-09-07T06:38:50.7380500Z     each distributed process will be operating on a single GPU. This can achieve
2025-09-07T06:38:50.7380640Z     well-improved single-node training performance. It can also be used in
2025-09-07T06:38:50.7380870Z     multi-node distributed training, by spawning up multiple processes on each node
2025-09-07T06:38:50.7381010Z     for well-improved multi-node distributed training performance as well.
2025-09-07T06:38:50.7381150Z     This will especially be beneficial for systems with multiple Infiniband
2025-09-07T06:38:50.7381300Z     interfaces that have direct-GPU support, since all of them can be utilized for
2025-09-07T06:38:50.7381370Z     aggregated communication bandwidth.
2025-09-07T06:38:50.7381410Z     
2025-09-07T06:38:50.7381550Z     In both cases of single-node distributed training or multi-node distributed
2025-09-07T06:38:50.7381690Z     training, this utility will launch the given number of processes per node
2025-09-07T06:38:50.7381830Z     (``--nproc-per-node``). If used for GPU training, this number needs to be less
2025-09-07T06:38:50.7381960Z     or equal to the number of GPUs on the current system (``nproc_per_node``),
2025-09-07T06:38:50.7382090Z     and each process will be operating on a single GPU from *GPU 0 to
2025-09-07T06:38:50.7382150Z     GPU (nproc_per_node - 1)*.
2025-09-07T06:38:50.7382190Z     
2025-09-07T06:38:50.7382240Z     **How to use this module:**
2025-09-07T06:38:50.7382280Z     
2025-09-07T06:38:50.7382370Z     1. Single-Node multi-process distributed training
2025-09-07T06:38:50.7382410Z     
2025-09-07T06:38:50.7382450Z     ::
2025-09-07T06:38:50.7382490Z     
2025-09-07T06:38:50.7382640Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-09-07T06:38:50.7382770Z                    YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3 and all other
2025-09-07T06:38:50.7382850Z                    arguments of your training script)
2025-09-07T06:38:50.7382890Z     
2025-09-07T06:38:50.7383020Z     2. Multi-Node multi-process distributed training: (e.g. two nodes)
2025-09-07T06:38:50.7383060Z     
2025-09-07T06:38:50.7383100Z     
2025-09-07T06:38:50.7383190Z     Node 1: *(IP: 192.168.1.1, and has a free port: 1234)*
2025-09-07T06:38:50.7383230Z     
2025-09-07T06:38:50.7383270Z     ::
2025-09-07T06:38:50.7383310Z     
2025-09-07T06:38:50.7383450Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-09-07T06:38:50.7383550Z                    --nnodes=2 --node-rank=0 --master-addr="192.168.1.1"
2025-09-07T06:38:50.7383680Z                    --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-09-07T06:38:50.7383800Z                    and all other arguments of your training script)
2025-09-07T06:38:50.7383840Z     
2025-09-07T06:38:50.7383880Z     Node 2:
2025-09-07T06:38:50.7383920Z     
2025-09-07T06:38:50.7383960Z     ::
2025-09-07T06:38:50.7384000Z     
2025-09-07T06:38:50.7384140Z         python -m torch.distributed.launch --nproc-per-node=NUM_GPUS_YOU_HAVE
2025-09-07T06:38:50.7384240Z                    --nnodes=2 --node-rank=1 --master-addr="192.168.1.1"
2025-09-07T06:38:50.7384370Z                    --master-port=1234 YOUR_TRAINING_SCRIPT.py (--arg1 --arg2 --arg3
2025-09-07T06:38:50.7384460Z                    and all other arguments of your training script)
2025-09-07T06:38:50.7384510Z     
2025-09-07T06:38:50.7384600Z     3. To look up what optional arguments this module offers:
2025-09-07T06:38:50.7384640Z     
2025-09-07T06:38:50.7384680Z     ::
2025-09-07T06:38:50.7384720Z     
2025-09-07T06:38:50.7384800Z         python -m torch.distributed.launch --help
2025-09-07T06:38:50.7384840Z     
2025-09-07T06:38:50.7384880Z     
2025-09-07T06:38:50.7384930Z     **Important Notices:**
2025-09-07T06:38:50.7384970Z     
2025-09-07T06:38:50.7385090Z     1. This utility and multi-process distributed (single-node or
2025-09-07T06:38:50.7385240Z     multi-node) GPU training currently only achieves the best performance using
2025-09-07T06:38:50.7385420Z     the NCCL distributed backend. Thus NCCL backend is the recommended backend to
2025-09-07T06:38:50.7385470Z     use for GPU training.
2025-09-07T06:38:50.7385510Z     
2025-09-07T06:38:50.7385640Z     2. In your training program, you must parse the command-line argument:
2025-09-07T06:38:50.7385800Z     ``--local-rank=LOCAL_PROCESS_RANK``, which will be provided by this module.
2025-09-07T06:38:50.7385940Z     If your training program uses GPUs, you should ensure that your code only
2025-09-07T06:38:50.7386060Z     runs on the GPU device of LOCAL_PROCESS_RANK. This can be done by:
2025-09-07T06:38:50.7386100Z     
2025-09-07T06:38:50.7386160Z     Parsing the local_rank argument
2025-09-07T06:38:50.7386200Z     
2025-09-07T06:38:50.7386240Z     ::
2025-09-07T06:38:50.7386280Z     
2025-09-07T06:38:50.7386330Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7386380Z         >>> import argparse
2025-09-07T06:38:50.7386460Z         >>> parser = argparse.ArgumentParser()
2025-09-07T06:38:50.7386580Z         >>> parser.add_argument("--local-rank", "--local_rank", type=int)
2025-09-07T06:38:50.7386640Z         >>> args = parser.parse_args()
2025-09-07T06:38:50.7386680Z     
2025-09-07T06:38:50.7386750Z     Set your device to local rank using either
2025-09-07T06:38:50.7386790Z     
2025-09-07T06:38:50.7386830Z     ::
2025-09-07T06:38:50.7386870Z     
2025-09-07T06:38:50.7386990Z         >>> torch.cuda.set_device(args.local_rank)  # before your code runs
2025-09-07T06:38:50.7387030Z     
2025-09-07T06:38:50.7387070Z     or
2025-09-07T06:38:50.7387110Z     
2025-09-07T06:38:50.7387150Z     ::
2025-09-07T06:38:50.7387190Z     
2025-09-07T06:38:50.7387270Z         >>> with torch.cuda.device(args.local_rank):
2025-09-07T06:38:50.7387330Z         >>>    # your code to run
2025-09-07T06:38:50.7387370Z         >>>    ...
2025-09-07T06:38:50.7387430Z     
2025-09-07T06:38:50.7387480Z     .. versionchanged:: 2.0.0
2025-09-07T06:38:50.7387520Z     
2025-09-07T06:38:50.7387670Z         The launcher will passes the ``--local-rank=<rank>`` argument to your script.
2025-09-07T06:38:50.7387820Z         From PyTorch 2.0.0 onwards, the dashed ``--local-rank`` is preferred over the
2025-09-07T06:38:50.7387900Z         previously used underscored ``--local_rank``.
2025-09-07T06:38:50.7387940Z     
2025-09-07T06:38:50.7388090Z         For backward compatibility, it may be necessary for users to handle both
2025-09-07T06:38:50.7388250Z         cases in their argument parsing code. This means including both ``"--local-rank"``
2025-09-07T06:38:50.7388380Z         and ``"--local_rank"`` in the argument parser. If only ``"--local_rank"`` is
2025-09-07T06:38:50.7388550Z         provided, the launcher will trigger an error: "error: unrecognized arguments:
2025-09-07T06:38:50.7388690Z         --local-rank=<rank>". For training code that only supports PyTorch 2.0.0+,
2025-09-07T06:38:50.7388790Z         including ``"--local-rank"`` should be sufficient.
2025-09-07T06:38:50.7388830Z     
2025-09-07T06:38:50.7388970Z     3. In your training program, you are supposed to call the following function
2025-09-07T06:38:50.7389110Z     at the beginning to start the distributed backend. It is strongly recommended
2025-09-07T06:38:50.7389250Z     that ``init_method=env://``. Other init methods (e.g. ``tcp://``) may work,
2025-09-07T06:38:50.7389370Z     but ``env://`` is the one that is officially supported by this module.
2025-09-07T06:38:50.7389400Z     
2025-09-07T06:38:50.7389450Z     ::
2025-09-07T06:38:50.7389480Z     
2025-09-07T06:38:50.7389610Z         >>> torch.distributed.init_process_group(backend='YOUR BACKEND',
2025-09-07T06:38:50.7389690Z         >>>                                      init_method='env://')
2025-09-07T06:38:50.7389730Z     
2025-09-07T06:38:50.7389870Z     4. In your training program, you can either use regular distributed functions
2025-09-07T06:38:50.7390020Z     or use :func:`torch.nn.parallel.DistributedDataParallel` module. If your
2025-09-07T06:38:50.7390170Z     training program uses GPUs for training and you would like to use
2025-09-07T06:38:50.7390290Z     :func:`torch.nn.parallel.DistributedDataParallel` module,
2025-09-07T06:38:50.7390350Z     here is how to configure it.
2025-09-07T06:38:50.7390380Z     
2025-09-07T06:38:50.7390420Z     ::
2025-09-07T06:38:50.7390460Z     
2025-09-07T06:38:50.7390610Z         >>> model = torch.nn.parallel.DistributedDataParallel(model,
2025-09-07T06:38:50.7390700Z         >>>                                                   device_ids=[args.local_rank],
2025-09-07T06:38:50.7390790Z         >>>                                                   output_device=args.local_rank)
2025-09-07T06:38:50.7390830Z     
2025-09-07T06:38:50.7390980Z     Please ensure that ``device_ids`` argument is set to be the only GPU device id
2025-09-07T06:38:50.7391120Z     that your code will be operating on. This is generally the local rank of the
2025-09-07T06:38:50.7391260Z     process. In other words, the ``device_ids`` needs to be ``[args.local_rank]``,
2025-09-07T06:38:50.7391400Z     and ``output_device`` needs to be ``args.local_rank`` in order to use this
2025-09-07T06:38:50.7391440Z     utility
2025-09-07T06:38:50.7391480Z     
2025-09-07T06:38:50.7391630Z     5. Another way to pass ``local_rank`` to the subprocesses via environment variable
2025-09-07T06:38:50.7391760Z     ``LOCAL_RANK``. This behavior is enabled when you launch the script with
2025-09-07T06:38:50.7391890Z     ``--use-env=True``. You must adjust the subprocess example above to replace
2025-09-07T06:38:50.7392020Z     ``args.local_rank`` with ``os.environ['LOCAL_RANK']``; the launcher
2025-09-07T06:38:50.7392120Z     will not pass ``--local-rank`` when you specify this flag.
2025-09-07T06:38:50.7392160Z     
2025-09-07T06:38:50.7392240Z     .. warning::
2025-09-07T06:38:50.7392280Z     
2025-09-07T06:38:50.7392420Z         ``local_rank`` is NOT globally unique: it is only unique per process
2025-09-07T06:38:50.7392540Z         on a machine.  Thus, don't use it to decide if you should, e.g.,
2025-09-07T06:38:50.7392610Z         write to a networked filesystem.  See
2025-09-07T06:38:50.7392740Z         https://github.com/pytorch/pytorch/issues/12042 for an example of
2025-09-07T06:38:50.7392840Z         how things can go wrong if you don't do this correctly.
2025-09-07T06:38:50.7392880Z     
2025-09-07T06:38:50.7392920Z     
2025-09-07T06:38:50.7395580Z     
2025-09-07T06:38:50.7395630Z     
2025-09-07T06:38:50.7395780Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7395820Z     
2025-09-07T06:38:50.7395870Z       warnings.warn(msg)
2025-09-07T06:38:50.7395960Z     
2025-09-07T06:38:50.7396080Z --- Parse Warning: 56 / 146 ---
2025-09-07T06:38:50.7396770Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DeviceMesh.__getitem__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/device_mesh.py line=701.
2025-09-07T06:38:50.7396920Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:50.7396960Z     
2025-09-07T06:38:50.7397130Z     Slice the current DeviceMesh based on the mesh_dim_names given to create a submesh.
2025-09-07T06:38:50.7397290Z     The submesh created consists of the dimensions and the communicators indicated by
2025-09-07T06:38:50.7397340Z     ``mesh_dim_names``
2025-09-07T06:38:50.7397380Z     
2025-09-07T06:38:50.7397420Z     Args:
2025-09-07T06:38:50.7397560Z         mesh_dim_names (Union[str, Tuple[str]]): the name or the tuple of names of the
2025-09-07T06:38:50.7397670Z         mesh dimension of the DeviceMesh to create the submesh for.
2025-09-07T06:38:50.7397710Z     Returns:
2025-09-07T06:38:50.7397780Z         A :class:`DeviceMesh` object
2025-09-07T06:38:50.7397810Z     
2025-09-07T06:38:50.7397990Z     The following program runs on each process/rank in an SPMD manner in a world size of 8.
2025-09-07T06:38:50.7398070Z     In the first example:
2025-09-07T06:38:50.7398230Z         Calling mesh_2d["tp"] on rank 0, 1, 2, 3 returns a 1D submesh of DeviceMesh:([0, 1, 2, 3]).
2025-09-07T06:38:50.7398380Z         Calling mesh_2d["tp"] on rank 4, 5, 6, 7 returns a 1D submesh of  DeviceMesh:([4, 5, 6, 7]).
2025-09-07T06:38:50.7398530Z         Calling mesh_2d["dp"] on rank 0, 4 returns a 1D submesh of  DeviceMesh:([0, 4]).
2025-09-07T06:38:50.7398670Z         Calling mesh_2d["dp"] on rank 1, 5 returns a 1D submesh of  DeviceMesh:([1, 5]).
2025-09-07T06:38:50.7398800Z         Calling mesh_2d["dp"] on rank 2, 6 returns a 1D submesh of  DeviceMesh:([2, 6]).
2025-09-07T06:38:50.7398930Z         Calling mesh_2d["dp"] on rank 3, 7 returns a 1D submesh of  DeviceMesh:([3, 7]).
2025-09-07T06:38:50.7398970Z     
2025-09-07T06:38:50.7399030Z     In the second example:
2025-09-07T06:38:50.7399190Z         Calling mesh_3d["dp", "cp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 1], [4, 5]]).
2025-09-07T06:38:50.7399350Z         Calling mesh_3d["dp", "cp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 3], [6, 7]]).
2025-09-07T06:38:50.7399500Z         Calling mesh_3d["cp", "dp"] on rank 0, 1, 4, 5 returns a 2D submesh of DeviceMesh:([[0, 4], [1, 5]]).
2025-09-07T06:38:50.7399660Z         Calling mesh_3d["cp", "dp"] on rank 2, 3, 6, 7 returns a 2D submesh of DeviceMesh:([[2, 6], [3, 7]]).
2025-09-07T06:38:50.7399700Z     
2025-09-07T06:38:50.7399750Z     Example::
2025-09-07T06:38:50.7399780Z     
2025-09-07T06:38:50.7399850Z         >>> # xdoctest: +SKIP("no rank")
2025-09-07T06:38:50.7399950Z         >>> from torch.distributed.device_mesh import DeviceMesh
2025-09-07T06:38:50.7400000Z         >>>
2025-09-07T06:38:50.7400120Z         >>> # Initialize a 2D device mesh as (2, 4) to represent the topology
2025-09-07T06:38:50.7400240Z         >>> # of cross-host(dim 0), and within-host (dim 1).
2025-09-07T06:38:50.7400400Z         >>> mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-09-07T06:38:50.7400450Z         >>> tp_mesh = mesh_2d["tp"]
2025-09-07T06:38:50.7400510Z         >>> dp_mesh = mesh_2d["dp"]
2025-09-07T06:38:50.7400550Z         >>>
2025-09-07T06:38:50.7400600Z         >>> # Initialize a 3D mesh.
2025-09-07T06:38:50.7400780Z         >>> mesh_3d = init_device_mesh(device_type="cuda", (2,2,2), mesh_dim_names=("dp", "pp", "cp"))
2025-09-07T06:38:50.7400960Z         >>> # The order of the mesh_dim_names provided deteremines the order of dimensions in the submesh.
2025-09-07T06:38:50.7401030Z         >>> dp_cp_mesh = mesh_3d["dp", "cp"]
2025-09-07T06:38:50.7401100Z         >>> cp_dp_mesh = mesh_3d["cp", "dp"]
2025-09-07T06:38:50.7401190Z     
2025-09-07T06:38:50.7401580Z     Original Error: SyntaxError('positional argument follows keyword argument', ('<source_block>', 6, 82, 'mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))\n', 6, 83))
2025-09-07T06:38:50.7401620Z     
2025-09-07T06:38:50.7401770Z     mesh_2d = init_device_mesh(device_type="cuda", (2,4), mesh_dim_names=("dp", "tp"))
2025-09-07T06:38:50.7401850Z                                                                                      ^
2025-09-07T06:38:50.7401900Z       warnings.warn(msg)
2025-09-07T06:38:50.7401940Z     
2025-09-07T06:38:50.7402040Z --- Parse Warning: 57 / 146 ---
2025-09-07T06:38:50.7402870Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BroadcastingTorchSaveReader in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=40.
2025-09-07T06:38:50.7403030Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7403070Z     
2025-09-07T06:38:50.7403250Z     StorageReader for reading a Torch Save file. This reader will read the entire checkpoint
2025-09-07T06:38:50.7403400Z     on the coordinator rank, and then broadcast and shard each tensor to all ranks.
2025-09-07T06:38:50.7403460Z     
2025-09-07T06:38:50.7403560Z     . N.B. Intended to be used with DynamicMetaLoadPlanner
2025-09-07T06:38:50.7403600Z     
2025-09-07T06:38:50.7403650Z     .. warning::
2025-09-07T06:38:50.7403750Z         Current implementation only supports loading Tensors.
2025-09-07T06:38:50.7403790Z     
2025-09-07T06:38:50.7403880Z     >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:50.7403940Z     >>> sd = {"mode": model}
2025-09-07T06:38:50.7403980Z     >>> dcp.load(
2025-09-07T06:38:50.7404020Z     >>>    sd,
2025-09-07T06:38:50.7404110Z     >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-09-07T06:38:50.7404190Z     >>>    planner=DynamicMetaLoadPlanner(),
2025-09-07T06:38:50.7404250Z     >>>    checkpoint_id="path_to_model.pt"
2025-09-07T06:38:50.7404290Z     >>> )
2025-09-07T06:38:50.7404330Z     
2025-09-07T06:38:50.7404480Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7404520Z     
2025-09-07T06:38:50.7404570Z       warnings.warn(msg)
2025-09-07T06:38:50.7404610Z     
2025-09-07T06:38:50.7404710Z --- Parse Warning: 58 / 146 ---
2025-09-07T06:38:50.7405450Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DynamicMetaLoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/format_utils.py line=151.
2025-09-07T06:38:50.7405600Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7405650Z     
2025-09-07T06:38:50.7405860Z     Extension of DefaultLoadPlanner, which creates a new Metadata object based on the passed in state dict,
2025-09-07T06:38:50.7406080Z     avoiding the need to read metadata from disk. This is useful when reading formats which don't have a
2025-09-07T06:38:50.7406140Z     metadata file, like Torch Save files.
2025-09-07T06:38:50.7406180Z     
2025-09-07T06:38:50.7406290Z     . N.B. Intended to be used with BroadcastingTorchSaveReader
2025-09-07T06:38:50.7406340Z     
2025-09-07T06:38:50.7406380Z     .. warning::
2025-09-07T06:38:50.7406480Z         Current implementation only supports loading Tensors.
2025-09-07T06:38:50.7406520Z     
2025-09-07T06:38:50.7406590Z     >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:50.7406640Z     >>> sd = {"mode": model}
2025-09-07T06:38:50.7406680Z     >>> dcp.load(
2025-09-07T06:38:50.7406730Z     >>>    sd,
2025-09-07T06:38:50.7406820Z     >>>    storage_reader=BroadcastingTorchSaveReader(),
2025-09-07T06:38:50.7406910Z     >>>    planner=DynamicMetaLoadPlanner(),
2025-09-07T06:38:50.7406970Z     >>>    checkpoint_id="path_to_model.pt"
2025-09-07T06:38:50.7407010Z     >>> )
2025-09-07T06:38:50.7407050Z     
2025-09-07T06:38:50.7407200Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7407240Z     
2025-09-07T06:38:50.7407290Z       warnings.warn(msg)
2025-09-07T06:38:50.7407330Z     
2025-09-07T06:38:50.7407430Z --- Parse Warning: 59 / 146 ---
2025-09-07T06:38:50.7408120Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SavePlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=122.
2025-09-07T06:38:50.7408280Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7408320Z     
2025-09-07T06:38:50.7408490Z     Abstract class defining the protocol used by save_state_dict to plan the save process.
2025-09-07T06:38:50.7408530Z     
2025-09-07T06:38:50.7408700Z     SavePlanners are stateful objects that can be used to customize the whole save process.
2025-09-07T06:38:50.7408740Z     
2025-09-07T06:38:50.7408910Z     SavePlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-09-07T06:38:50.7409010Z     will be visible to the whole process.
2025-09-07T06:38:50.7409040Z     
2025-09-07T06:38:50.7409210Z     A planner subclass can expect the following sequence of calls during save_state_dict:
2025-09-07T06:38:50.7409250Z     
2025-09-07T06:38:50.7409320Z     1) set_up_planner - called on all ranks.
2025-09-07T06:38:50.7409410Z         Signals the start of a checkpoint save.
2025-09-07T06:38:50.7409450Z     
2025-09-07T06:38:50.7409520Z     2) create_local_plan - called on all ranks.
2025-09-07T06:38:50.7409690Z         Process the state_dict and produces a `SavePlan` that will be sent for global planning.
2025-09-07T06:38:50.7409740Z     
2025-09-07T06:38:50.7409850Z     3) create_global_plan - called on the coordinator rank only.
2025-09-07T06:38:50.7409970Z         Takes the SavePlan from all ranks and make any global decision.
2025-09-07T06:38:50.7410010Z     
2025-09-07T06:38:50.7410070Z     4) finish_plan - called on all ranks.
2025-09-07T06:38:50.7410210Z         This gives each rank a chance to adjust to global planning decisions.
2025-09-07T06:38:50.7410250Z     
2025-09-07T06:38:50.7410340Z     5) resolve_data - called multiple times on each rank
2025-09-07T06:38:50.7410460Z         Lookups a value on the `state_dict` for the storage layer to write.
2025-09-07T06:38:50.7410500Z     
2025-09-07T06:38:50.7410680Z     Users are recommended to extend DefaultSavePlanner instead of this interface directly as
2025-09-07T06:38:50.7410790Z     most changes can be expressed by changes in a single method.
2025-09-07T06:38:50.7410830Z     
2025-09-07T06:38:50.7410900Z     There are 3 usual patterns of extension:
2025-09-07T06:38:50.7410940Z     
2025-09-07T06:38:50.7411100Z     Rewriting state_dict. This is the simplest way to extend the save process as it
2025-09-07T06:38:50.7411260Z     doesn't requite understanding the intrincacies of how SavePlan works:
2025-09-07T06:38:50.7411300Z     
2025-09-07T06:38:50.7411370Z     >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:50.7411450Z     >>> class RenamePlanner(DefaultSavePlanner):
2025-09-07T06:38:50.7411500Z     >>>     def set_up_planner(
2025-09-07T06:38:50.7411550Z     >>>         self,
2025-09-07T06:38:50.7411610Z     >>>         state_dict: STATE_DICT_TYPE,
2025-09-07T06:38:50.7411680Z     >>>         storage_meta: Optional[StorageMeta],
2025-09-07T06:38:50.7411750Z     >>>         is_coordinator: bool,
2025-09-07T06:38:50.7411790Z     >>>     ) -> None:
2025-09-07T06:38:50.7411850Z     >>> # prefix all keys with `foo_``
2025-09-07T06:38:50.7412040Z     >>>         super().set_up_planner({"foo_" + k: v for k, v in state_dict.items()}, storage_meta, is_coordinator)
2025-09-07T06:38:50.7412100Z     
2025-09-07T06:38:50.7412300Z     Modifying local plan and lookup in tandem. This is useful when fine control of how data is persisted
2025-09-07T06:38:50.7412340Z     
2025-09-07T06:38:50.7412400Z     >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:50.7412480Z     >>> class FP16Planner(DefaultSavePlanner):
2025-09-07T06:38:50.7412540Z     >>>     def create_local_plan(self):
2025-09-07T06:38:50.7412610Z     >>>         plan = super().create_local_plan()
2025-09-07T06:38:50.7412660Z     >>>         for p in plan:
2025-09-07T06:38:50.7412730Z     >>>             if p.tensor_data is not None:
2025-09-07T06:38:50.7412830Z     >>>                 p.tensor_data.properties.dtype = torch.float16
2025-09-07T06:38:50.7412880Z     >>>         return plan
2025-09-07T06:38:50.7412930Z     >>>
2025-09-07T06:38:50.7412990Z     >>>     def resolve_data(self, write_item):
2025-09-07T06:38:50.7413070Z     >>>         item = super().resolve_data(write_item)
2025-09-07T06:38:50.7413240Z     >>>         return item if write_item.type == WriteItemType.BYTE_IO else item.to(torch.float16)
2025-09-07T06:38:50.7413280Z     
2025-09-07T06:38:50.7413480Z     Using the global planning step to make central decisions that can't be made individually by each rank
2025-09-07T06:38:50.7413520Z     
2025-09-07T06:38:50.7413610Z     >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:50.7413670Z     >>> from itertools import zip_longest
2025-09-07T06:38:50.7413740Z     >>> from dataclasses import replace
2025-09-07T06:38:50.7413840Z     >>> class DDPLoadBalancingPlanner(DefaultSavePlanner):
2025-09-07T06:38:50.7414030Z     >>> # This uses the default local plan behavior of having all non-sharded writes in rank 0
2025-09-07T06:38:50.7414110Z     >>> # This sample doesn't handle ShardedTensors
2025-09-07T06:38:50.7414180Z     >>>     def create_global_plan(self, all_plans):
2025-09-07T06:38:50.7414280Z     >>>         iters = [iter(all_plans[0].items)] * len(all_plans)
2025-09-07T06:38:50.7414330Z     >>>         items_per_rank = [
2025-09-07T06:38:50.7414420Z     >>>             [item for item in items if item is not None]
2025-09-07T06:38:50.7414520Z     >>>             for items in zip(*zip_longest(*iters), strict=True)
2025-09-07T06:38:50.7414560Z     >>>         ]
2025-09-07T06:38:50.7414610Z     >>>         all_plans = [
2025-09-07T06:38:50.7414680Z     >>>             replace(plan, items=items)
2025-09-07T06:38:50.7414800Z     >>>             for plan, items in zip(all_plans, items_per_rank, strict=True)
2025-09-07T06:38:50.7414840Z     >>>         ]
2025-09-07T06:38:50.7414930Z     >>>         return super().create_global_plan(all_plans)
2025-09-07T06:38:50.7414970Z     
2025-09-07T06:38:50.7415120Z     Finally, some planners need to save additional metadata in the checkpoint, this is
2025-09-07T06:38:50.7415280Z     accomplished by having each rank contribute their data items in the local plan and
2025-09-07T06:38:50.7415350Z     the global planner aggregate them:
2025-09-07T06:38:50.7415390Z     
2025-09-07T06:38:50.7415450Z     >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:50.7415550Z     >>> class SaveExtraDataPlanner(DefaultSavePlanner):
2025-09-07T06:38:50.7415640Z     >>>     def create_local_plan(self) -> SavePlan:
2025-09-07T06:38:50.7415710Z     >>>         plan = super().create_local_plan()
2025-09-07T06:38:50.7415820Z     >>>         return replace(plan, planner_data="per-rank-data")
2025-09-07T06:38:50.7415860Z     >>>
2025-09-07T06:38:50.7416030Z     >>>     def create_global_plan(self, all_plans: List[SavePlan]) -> Tuple[List[SavePlan], Metadata]:
2025-09-07T06:38:50.7416160Z     >>>         global_plan, metadata = super().create_global_plan(all_plans)
2025-09-07T06:38:50.7416250Z     >>>         merged_data = [p.planner_data for p in global_plan]
2025-09-07T06:38:50.7416360Z     >>>         metadata = replace(metadata, planner_data=merged_data)
2025-09-07T06:38:50.7416430Z     >>>         return global_plan, metadata
2025-09-07T06:38:50.7416480Z     
2025-09-07T06:38:50.7416640Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7416680Z     
2025-09-07T06:38:50.7416730Z       warnings.warn(msg)
2025-09-07T06:38:50.7416770Z     
2025-09-07T06:38:50.7416870Z --- Parse Warning: 60 / 146 ---
2025-09-07T06:38:50.7417560Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LoadPlanner in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/planner.py line=305.
2025-09-07T06:38:50.7417720Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7417760Z     
2025-09-07T06:38:50.7417930Z     Abstract class defining the protocol used by load_state_dict to plan the load process.
2025-09-07T06:38:50.7417960Z     
2025-09-07T06:38:50.7418140Z     LoadPlanner are stateful objects that can be used to customize the whole load process.
2025-09-07T06:38:50.7418180Z     
2025-09-07T06:38:50.7418340Z     LoadPlanner acts as an access proxy to the state_dict, so any transformation done to it
2025-09-07T06:38:50.7418410Z     will be visible to the whole process.
2025-09-07T06:38:50.7418450Z     
2025-09-07T06:38:50.7418640Z     A planner subclass can expect the following sequence of calls during load_state_dict:
2025-09-07T06:38:50.7418680Z     
2025-09-07T06:38:50.7418750Z     1) set_up_planner - called on all ranks.
2025-09-07T06:38:50.7418830Z         Signals the start of loading a checkpoint.
2025-09-07T06:38:50.7418860Z     
2025-09-07T06:38:50.7418940Z     2) create_local_plan - called on all ranks.
2025-09-07T06:38:50.7419120Z         Process the state_dict and produces a `LoadPlan` that will be sent for global planning.
2025-09-07T06:38:50.7419160Z     
2025-09-07T06:38:50.7419280Z     3) create_global_plan - called on the coordinator rank only.
2025-09-07T06:38:50.7419400Z         Takes the LoadPlan from all ranks and make any global decision.
2025-09-07T06:38:50.7419440Z     
2025-09-07T06:38:50.7419520Z     4) load_bytes - called multiple times on each rank
2025-09-07T06:38:50.7419630Z         This is called once per non-tensor value in state_dict.
2025-09-07T06:38:50.7419670Z     
2025-09-07T06:38:50.7419800Z     5) resolve_tensor and commit_tensor - called multiple times on each rank
2025-09-07T06:38:50.7419920Z         They are called in pair for each Tensor value in state_dict.
2025-09-07T06:38:50.7419960Z     
2025-09-07T06:38:50.7420130Z     Users are recommended to extend DefaultLoadPlanner instead of this interface directly as
2025-09-07T06:38:50.7420240Z     most changes can be expressed by changes in a single method.
2025-09-07T06:38:50.7420280Z     
2025-09-07T06:38:50.7420360Z     There are two usual patterns of extension:
2025-09-07T06:38:50.7420400Z     
2025-09-07T06:38:50.7420550Z     Rewriting state_dict. This is the simplest way to extend the load process as it
2025-09-07T06:38:50.7420700Z     doesn't requite understanding the intrincacies of how LoadPlan works. We need
2025-09-07T06:38:50.7420840Z     to keep a reference to the original state_dict as load happens in place so
2025-09-07T06:38:50.7420970Z     we need to be able to perform it in place
2025-09-07T06:38:50.7421010Z     
2025-09-07T06:38:50.7421070Z     >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:50.7421150Z     >>> class RenamePlanner(DefaultLoadPlanner):
2025-09-07T06:38:50.7421210Z     >>>     def set_up_planner(
2025-09-07T06:38:50.7421250Z     >>>         self,
2025-09-07T06:38:50.7421310Z     >>>         state_dict: STATE_DICT_TYPE,
2025-09-07T06:38:50.7421370Z     >>>         metadata: Metadata,
2025-09-07T06:38:50.7421430Z     >>>         is_coordinator: bool,
2025-09-07T06:38:50.7421470Z     >>>     ) -> None:
2025-09-07T06:38:50.7421550Z     >>>         self.original_state_dict = state_dict
2025-09-07T06:38:50.7421660Z     >>>         state_dict = {"foo_" + k: v for k, v in state_dict.items()}
2025-09-07T06:38:50.7421720Z     >>>
2025-09-07T06:38:50.7421800Z     >>>         if self.flatten_sharded_tensors:
2025-09-07T06:38:50.7421890Z     >>>             state_dict = _flatten_sharded_tensors(state_dict)
2025-09-07T06:38:50.7421930Z     >>>
2025-09-07T06:38:50.7422000Z     >>>         if self.flatten_state_dict:
2025-09-07T06:38:50.7422110Z     >>>             state_dict, self.mappings = flatten_state_dict(state_dict)
2025-09-07T06:38:50.7422150Z     >>>
2025-09-07T06:38:50.7422210Z     >>>         self.state_dict = state_dict
2025-09-07T06:38:50.7422270Z     >>>         self.metadata = metadata
2025-09-07T06:38:50.7422350Z     >>>         self.is_coordinator = is_coordinator
2025-09-07T06:38:50.7422390Z     >>>
2025-09-07T06:38:50.7422460Z     >>>     def load_bytes(self, read_item, value):
2025-09-07T06:38:50.7422520Z     >>> # Remove the "foo_" prefix
2025-09-07T06:38:50.7422710Z     >>>         self.original_state_dict[read_item.dest_index.fqn[4:]] = torch.load(value, weights_only=False)
2025-09-07T06:38:50.7422750Z     
2025-09-07T06:38:50.7422790Z     
2025-09-07T06:38:50.7422940Z     Modifying resolve_tensor and commit_tensor to handle load time transformation.
2025-09-07T06:38:50.7422980Z     
2025-09-07T06:38:50.7423050Z     >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:50.7423140Z     >>> class MetaModelMaterialize(DefaultSavePlanner):
2025-09-07T06:38:50.7423230Z     >>>     def resolve_tensor(self, read_item):
2025-09-07T06:38:50.7423310Z     >>>         tensor = super().resolve_tensor(read_item)
2025-09-07T06:38:50.7423400Z     >>>         return torch.empty_like(tensor, device="cpu")
2025-09-07T06:38:50.7423440Z     >>>
2025-09-07T06:38:50.7423520Z     >>>     def commit_tensor(self, read_item, tensor):
2025-09-07T06:38:50.7423640Z     >>>         self.state_dict[read_item.dest_index.fqn] = tensor
2025-09-07T06:38:50.7423680Z     
2025-09-07T06:38:50.7423830Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7423870Z     
2025-09-07T06:38:50.7423920Z       warnings.warn(msg)
2025-09-07T06:38:50.7423960Z     
2025-09-07T06:38:50.7424060Z --- Parse Warning: 61 / 146 ---
2025-09-07T06:38:50.7424760Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict.py line=1118.
2025-09-07T06:38:50.7424920Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7424960Z     
2025-09-07T06:38:50.7425060Z     Return the model state_dict and optimizers state_dict.
2025-09-07T06:38:50.7425100Z     
2025-09-07T06:38:50.7425230Z     ``get_state_dict`` can process any module that is parallelized by PyTorch
2025-09-07T06:38:50.7425380Z     FSDP/fully_shard, DDP/replicate, tensor_parallel/parallelize_module, and any
2025-09-07T06:38:50.7425540Z     combination of these parallelisms. The main functions of ``get_state_dict``
2025-09-07T06:38:50.7425670Z     are: 1.) returning a model and optimizer state_dict that can be resharded
2025-09-07T06:38:50.7425820Z     with a different number of trainers and/or different parallelisms.
2025-09-07T06:38:50.7425980Z     2.) hiding the parallelism-specific state_dict APIs. Users don't have to call
2025-09-07T06:38:50.7426030Z     these APIs.
2025-09-07T06:38:50.7426100Z     3.) sanity checking the result state_dict.
2025-09-07T06:38:50.7426140Z     
2025-09-07T06:38:50.7426260Z     The keys of the result state dictionary are the canonical FQNs (Fully
2025-09-07T06:38:50.7426410Z     Qualified Names).  A canonical FQN refers to the FQN based on a parameter's
2025-09-07T06:38:50.7426550Z     position in an nn.Module hierarchy. More specifically, a canonical FQN to a
2025-09-07T06:38:50.7426670Z     parameter is the FQN returned by ``module.named_parameters()`` or
2025-09-07T06:38:50.7426800Z     ``module.named_buffers()`` when the module is not distributed by any
2025-09-07T06:38:50.7426970Z     parallelisms. Since the optimizer internally uses parameter IDs to represent
2025-09-07T06:38:50.7427110Z     a parameter, there will be a conversion from the parameter IDs to the
2025-09-07T06:38:50.7427170Z     canonical FQNs when calling this API.
2025-09-07T06:38:50.7427210Z     
2025-09-07T06:38:50.7427350Z     ``get_state_dict`` can also process a module that is not parallelized. In
2025-09-07T06:38:50.7427480Z     such a case, ``get_state_dict`` only performs one function -- converting the
2025-09-07T06:38:50.7427570Z     optimizer parameter IDs to the canonical FQNs.
2025-09-07T06:38:50.7427610Z     
2025-09-07T06:38:50.7427650Z     Example:
2025-09-07T06:38:50.7427700Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7427750Z         >>> import torch
2025-09-07T06:38:50.7427900Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-09-07T06:38:50.7428020Z         >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-09-07T06:38:50.7428160Z         >>> from torch.distributed.checkpoint.state_dict import get_state_dict
2025-09-07T06:38:50.7428200Z     
2025-09-07T06:38:50.7428280Z         >>> fsdp_model = FSDP(copy.deepcopy(model))
2025-09-07T06:38:50.7428400Z         >>> fsdp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-09-07T06:38:50.7428530Z         >>> ddp_model = DDP(copy.deepcopy(model))
2025-09-07T06:38:50.7428640Z         >>> ddp_optim = torch.optim.Adam(model.parameters(), lr=1e-3)
2025-09-07T06:38:50.7428680Z     
2025-09-07T06:38:50.7428720Z     
2025-09-07T06:38:50.7428860Z         >>> ddp_state_dict, ddp_optim_state_dict = get_state_dict(ddp_model, ddp_optim)
2025-09-07T06:38:50.7428990Z         >>> fsdp_state_dict, fsdp_optim_state_dict = get_state_dict(
2025-09-07T06:38:50.7429050Z         ...     fsdp_model, fsdp_optim
2025-09-07T06:38:50.7429090Z         ... )
2025-09-07T06:38:50.7429130Z     
2025-09-07T06:38:50.7429260Z         >>> # if we simply call ddp_model.state_dict() and fsdp_model.state_dict(),
2025-09-07T06:38:50.7429320Z         >>> # the asserts will fail.
2025-09-07T06:38:50.7429400Z         >>> assert ddp_state_dict == fsdp_state_dict
2025-09-07T06:38:50.7429490Z         >>> assert ddp_optim_state == fsdp_optim_state_dict
2025-09-07T06:38:50.7429530Z     
2025-09-07T06:38:50.7429570Z     
2025-09-07T06:38:50.7429610Z     Args:
2025-09-07T06:38:50.7429690Z         model (nn.Module): the nn.Module to the model.
2025-09-07T06:38:50.7429810Z         optimizers (Union[None, Optimizer, Iterable[Optimizer]]):
2025-09-07T06:38:50.7429910Z             The optimizers that are used to optimize ``model``.
2025-09-07T06:38:50.7430070Z         submodules (deprecated): Optional[set[nn.Module]]: only return the model parameters
2025-09-07T06:38:50.7430140Z             that belong to the submodules.
2025-09-07T06:38:50.7430240Z         options (StateDictOptions): the options to control how
2025-09-07T06:38:50.7430370Z             model state_dict and optimizer state_dict should be returned. See
2025-09-07T06:38:50.7430440Z             `StateDictOptions` for the details.
2025-09-07T06:38:50.7430480Z     
2025-09-07T06:38:50.7430520Z     Returns:
2025-09-07T06:38:50.7430660Z         ``Tuple`` that contain model state_dict and optimizer state_dict.
2025-09-07T06:38:50.7430700Z     
2025-09-07T06:38:50.7430840Z     :rtype: typing.Tuple[typing.Dict[str, ValueType], OptimizerStateType]
2025-09-07T06:38:50.7430880Z     
2025-09-07T06:38:50.7431030Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7431070Z     
2025-09-07T06:38:50.7431120Z       warnings.warn(msg)
2025-09-07T06:38:50.7431160Z     
2025-09-07T06:38:50.7431260Z --- Parse Warning: 62 / 146 ---
2025-09-07T06:38:50.7431950Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=97.
2025-09-07T06:38:50.7432130Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7432170Z     
2025-09-07T06:38:50.7432240Z     Save a distributed model in SPMD style.
2025-09-07T06:38:50.7432280Z     
2025-09-07T06:38:50.7432390Z     This function is different from ``torch.save()`` as it handles
2025-09-07T06:38:50.7432550Z     ``ShardedTensor`` , and ``DTensor`` by having each rank only save their local shards.
2025-09-07T06:38:50.7432590Z     
2025-09-07T06:38:50.7432740Z     For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-09-07T06:38:50.7432840Z     save will call ``state_dict`` before serialization.
2025-09-07T06:38:50.7432880Z     
2025-09-07T06:38:50.7432920Z     .. warning::
2025-09-07T06:38:50.7433060Z         There is no guarantees of Backwards Compatibility across PyTorch versions
2025-09-07T06:38:50.7433120Z         for saved state_dicts.
2025-09-07T06:38:50.7433160Z     
2025-09-07T06:38:50.7433200Z     .. warning::
2025-09-07T06:38:50.7433330Z         If using the `process_group` argument, make sure that only its ranks
2025-09-07T06:38:50.7433460Z         call `save_state_dict` and that all data in state_dict belong to it.
2025-09-07T06:38:50.7433520Z     
2025-09-07T06:38:50.7433560Z     .. note::
2025-09-07T06:38:50.7433720Z         When saving checkpoint for FSDP's `ShardingStrategy.HYBRID_SHARD`, only one of
2025-09-07T06:38:50.7433870Z         the shard_group should be calling `save_state_dict` and the corresponding process
2025-09-07T06:38:50.7433930Z         group needs to be passed in.
2025-09-07T06:38:50.7433970Z     
2025-09-07T06:38:50.7434030Z     .. note::
2025-09-07T06:38:50.7434200Z         If no process group is available, this function assumes the intention is to save the
2025-09-07T06:38:50.7434260Z          state_dict in the local process.
2025-09-07T06:38:50.7434300Z     
2025-09-07T06:38:50.7434350Z     .. note:
2025-09-07T06:38:50.7434430Z         Rank 0 is assumed to be the coordinator rank.
2025-09-07T06:38:50.7434470Z     
2025-09-07T06:38:50.7434510Z     
2025-09-07T06:38:50.7434550Z     Args:
2025-09-07T06:38:50.7434640Z         state_dict (Dict[str, Any]): The state_dict to save.
2025-09-07T06:38:50.7434730Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-09-07T06:38:50.7434860Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-09-07T06:38:50.7434980Z             depends on the storage. It can be a path to a folder or to a file.
2025-09-07T06:38:50.7435080Z             It can also be a key if the storage is a key-value store.
2025-09-07T06:38:50.7435140Z             (Default: ``None``)
2025-09-07T06:38:50.7435220Z         storage_writer (Optional[StorageWriter]):
2025-09-07T06:38:50.7435340Z             Instance of StorageWriter used to perform writes. If this is not
2025-09-07T06:38:50.7435460Z             specified, DCP will automatically infer the writer based on the
2025-09-07T06:38:50.7435580Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-09-07T06:38:50.7435650Z             be raised. (Default: ``None``)
2025-09-07T06:38:50.7435730Z         planner (Optional[SavePlanner]):
2025-09-07T06:38:50.7435850Z             Instance of SavePlanner. If this is not specified, the default
2025-09-07T06:38:50.7435930Z             planner will be used. (Default: ``None``)
2025-09-07T06:38:50.7436010Z         process_group (Optional[ProcessGroup]):
2025-09-07T06:38:50.7436120Z             ProcessGroup to be used for cross-rank synchronization.
2025-09-07T06:38:50.7436170Z             (Default: ``None``)
2025-09-07T06:38:50.7436220Z         no_dist (bool):
2025-09-07T06:38:50.7436320Z             If ``True``, this function will assume the intent is to load
2025-09-07T06:38:50.7436400Z             a checkpoint on a single rank/process.
2025-09-07T06:38:50.7436450Z             (Default: ``False``)
2025-09-07T06:38:50.7436630Z         use_collectives (bool): If ``False``, this function will assume the intent is to save
2025-09-07T06:38:50.7436730Z             a checkpoint without using cross-rank synchronization.
2025-09-07T06:38:50.7436790Z             (Default: ``True``)
2025-09-07T06:38:50.7436920Z             This configuration is experimental and should be used with caution.
2025-09-07T06:38:50.7437090Z             It will change the format of the saved checkpoint and may not be backward compatible.
2025-09-07T06:38:50.7437130Z     
2025-09-07T06:38:50.7437170Z     Returns:
2025-09-07T06:38:50.7437260Z         Metadata: Metadata object for the saved checkpoint.
2025-09-07T06:38:50.7437300Z     
2025-09-07T06:38:50.7437350Z     Example:
2025-09-07T06:38:50.7437400Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7437460Z         >>> my_model = MyModule()
2025-09-07T06:38:50.7437500Z     
2025-09-07T06:38:50.7437560Z         >>> state_dict = {"model": my_model}
2025-09-07T06:38:50.7437600Z     
2025-09-07T06:38:50.7437750Z         >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-09-07T06:38:50.7437800Z         ...     "/checkpoint/1"
2025-09-07T06:38:50.7437850Z         ... )
2025-09-07T06:38:50.7437920Z         >>> torch.distributed.checkpoint.save(
2025-09-07T06:38:50.7437980Z         >>>     state_dict=state_dict,
2025-09-07T06:38:50.7438080Z         >>>     storage_writer=fs_storage_writer,
2025-09-07T06:38:50.7438120Z         >>> )
2025-09-07T06:38:50.7438160Z     
2025-09-07T06:38:50.7438200Z     .. note::
2025-09-07T06:38:50.7438330Z         save_state_dict uses collectives to coordinate writes across ranks.
2025-09-07T06:38:50.7438460Z         For NCCL-based process groups, internal tensor representations of
2025-09-07T06:38:50.7438620Z         objects must be moved to the GPU device before communication takes place.
2025-09-07T06:38:50.7438750Z         In this case, the device used is given by ``torch.cuda.current_device()``
2025-09-07T06:38:50.7438880Z         and it is the user's responsibility to ensure that this is set so that
2025-09-07T06:38:50.7438990Z         each rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-09-07T06:38:50.7439040Z     
2025-09-07T06:38:50.7439190Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7439230Z     
2025-09-07T06:38:50.7439280Z       warnings.warn(msg)
2025-09-07T06:38:50.7439320Z     
2025-09-07T06:38:50.7439420Z --- Parse Warning: 63 / 146 ---
2025-09-07T06:38:50.7440130Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_save in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_saver.py line=230.
2025-09-07T06:38:50.7440290Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7440450Z     Asynchronous version of ``save``. This code first de-stages the state_dict on to the
2025-09-07T06:38:50.7440620Z         staging storage (defaults to CPU memory), and then calls the `save` in a separate thread.
2025-09-07T06:38:50.7440660Z     
2025-09-07T06:38:50.7440710Z         .. warning::
2025-09-07T06:38:50.7440830Z             This feature is experimental and subject to change.
2025-09-07T06:38:50.7440930Z             MUST CALL CLOSE AFTER LAST CHECKPOINT IS SAVED
2025-09-07T06:38:50.7440960Z     
2025-09-07T06:38:50.7441010Z         Args:
2025-09-07T06:38:50.7441100Z             state_dict (Dict[str, Any]): The state_dict to save.
2025-09-07T06:38:50.7441190Z             checkpoint_id (Union[str, os.PathLike, None]):
2025-09-07T06:38:50.7441320Z                 The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-09-07T06:38:50.7441440Z                 depends on the storage. It can be a path to a folder or to a file.
2025-09-07T06:38:50.7441550Z                 It can also be a key if the storage is a key-value store.
2025-09-07T06:38:50.7441660Z                 (Default: ``None``)
2025-09-07T06:38:50.7441740Z             storage_writer (Optional[StorageWriter]):
2025-09-07T06:38:50.7441870Z                 Instance of StorageWriter used to perform 'stage' and  'save'. If
2025-09-07T06:38:50.7442020Z                 this is not specified, DCP will automatically infer the writer based on the
2025-09-07T06:38:50.7442140Z                 checkpoint_id. If checkpoint_id is also None, an exception will
2025-09-07T06:38:50.7442210Z                 be raised. (Default: ``None``)
2025-09-07T06:38:50.7442280Z             planner (Optional[SavePlanner]):
2025-09-07T06:38:50.7442400Z                 Instance of SavePlanner. If this is not specified, the default
2025-09-07T06:38:50.7442480Z                 planner will be used. (Default: ``None``)
2025-09-07T06:38:50.7442560Z             process_group (Optional[ProcessGroup]):
2025-09-07T06:38:50.7442670Z                 ProcessGroup to be used for cross-rank synchronization.
2025-09-07T06:38:50.7442730Z                 (Default: ``None``)
2025-09-07T06:38:50.7442820Z             async_checkpointer_type (AsyncCheckpointerType):
2025-09-07T06:38:50.7442930Z                 whether to do checkpoint in separate thread or process
2025-09-07T06:38:50.7443020Z                 (Default: ``AsyncCheckpointerType.THREAD``)
2025-09-07T06:38:50.7443100Z             async_stager (AsyncStager):
2025-09-07T06:38:50.7443250Z                 provides staging implementation. If storage_writer implements AsyncStager
2025-09-07T06:38:50.7443380Z                 and async_stager is provided, async_stager will be used for staging
2025-09-07T06:38:50.7443430Z             no_dist (bool):
2025-09-07T06:38:50.7443570Z                 If ``True``, this function will assume the intent is to save
2025-09-07T06:38:50.7443640Z                 a checkpoint on a single rank/process.
2025-09-07T06:38:50.7443700Z                 (Default: ``False``)
2025-09-07T06:38:50.7443890Z             use_collectives: If False, Save the checkpoint without rank coordination. (Default: ``True``)
2025-09-07T06:38:50.7444030Z                 This configuration is experimental and should be used with caution.
2025-09-07T06:38:50.7444190Z                 It will change the format of the saved checkpoint and may not be backward compatible.
2025-09-07T06:38:50.7444230Z     
2025-09-07T06:38:50.7444270Z         Returns:
2025-09-07T06:38:50.7444400Z             Future: A future holding the resultant Metadata object from `save`.
2025-09-07T06:38:50.7444440Z     
2025-09-07T06:38:50.7444490Z         Example:
2025-09-07T06:38:50.7444540Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7444600Z             >>> my_model = MyModule()
2025-09-07T06:38:50.7444640Z     
2025-09-07T06:38:50.7444710Z             >>> state_dict = {"model": my_model}
2025-09-07T06:38:50.7444750Z     
2025-09-07T06:38:50.7444890Z             >>> fs_storage_writer = torch.distributed.checkpoint.FileSystemWriter(
2025-09-07T06:38:50.7444950Z             ...     "/checkpoint/1"
2025-09-07T06:38:50.7444990Z             ... )
2025-09-07T06:38:50.7445120Z             >>> checkpoint_future = torch.distributed.checkpoint.async_save(
2025-09-07T06:38:50.7445180Z             >>>     state_dict=state_dict,
2025-09-07T06:38:50.7445270Z             >>>     storage_writer=fs_storage_writer,
2025-09-07T06:38:50.7445320Z             >>> )
2025-09-07T06:38:50.7445360Z             >>>
2025-09-07T06:38:50.7445420Z             >>> # ... do some work ...
2025-09-07T06:38:50.7445460Z             >>>
2025-09-07T06:38:50.7445520Z             >>> checkpoint_future.result()
2025-09-07T06:38:50.7445560Z     
2025-09-07T06:38:50.7445600Z         
2025-09-07T06:38:50.7445750Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7445790Z     
2025-09-07T06:38:50.7445840Z       warnings.warn(msg)
2025-09-07T06:38:50.7445880Z     
2025-09-07T06:38:50.7445980Z --- Parse Warning: 64 / 146 ---
2025-09-07T06:38:50.7446670Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/state_dict_loader.py line=69.
2025-09-07T06:38:50.7449580Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7449630Z     
2025-09-07T06:38:50.7449760Z     Load a checkpoint into a distributed state dict in SPMD style.
2025-09-07T06:38:50.7449790Z     
2025-09-07T06:38:50.7449930Z     Each rank must have the same keys in their ``state_dict`` provided to this
2025-09-07T06:38:50.7450070Z     API. Mismatched keys may result in hangs or errors. If unsure, you can use
2025-09-07T06:38:50.7450210Z     the ``utils._assert_same_keys`` API to check (but may incur communication
2025-09-07T06:38:50.7450250Z     costs).
2025-09-07T06:38:50.7450290Z     
2025-09-07T06:38:50.7450400Z     Each rank will try to read the least amount of data necessary
2025-09-07T06:38:50.7450540Z     to fulfill the requested `state_dict`. When loading :class:`ShardedTensor`
2025-09-07T06:38:50.7450690Z     or :class:`DTensor` instances, each rank only reads data for their local shards.
2025-09-07T06:38:50.7450730Z     
2025-09-07T06:38:50.7450890Z     For each ``Stateful`` object (having both a ``state_dict`` and a ``load_state_dict``),
2025-09-07T06:38:50.7451140Z     load will first call ``state_dict`` before attempting deserialization, followed by
2025-09-07T06:38:50.7451240Z     ``load_state_dict`` once the deserialization is complete.
2025-09-07T06:38:50.7451390Z     For each non-``Stateful`` object, load will deserialize the object, and then replace
2025-09-07T06:38:50.7451510Z     it in the ``state_dict`` with the deserialized object.
2025-09-07T06:38:50.7451550Z     
2025-09-07T06:38:50.7451600Z     .. warning::
2025-09-07T06:38:50.7451700Z         All tensors in ``state_dict`` must be allocated on their
2025-09-07T06:38:50.7451800Z         destination device *prior to* calling this function.
2025-09-07T06:38:50.7451840Z     
2025-09-07T06:38:50.7451980Z         All non-tensor data is loaded using `torch.load()` and modified in place
2025-09-07T06:38:50.7452020Z         on state_dict.
2025-09-07T06:38:50.7452070Z     
2025-09-07T06:38:50.7452110Z     .. warning::
2025-09-07T06:38:50.7452230Z         Users must call `load_state_dict` on the root module to ensure load
2025-09-07T06:38:50.7452340Z         pos-processing and non-tensor data properly propagates.
2025-09-07T06:38:50.7452380Z     
2025-09-07T06:38:50.7452420Z     .. note:
2025-09-07T06:38:50.7452560Z         If no process group is initialized, this function will assume the intent
2025-09-07T06:38:50.7452690Z         is to load a checkpoint into the local process. This can be useful in the
2025-09-07T06:38:50.7452840Z         case of local inference, and when using regular Tensors (as opposed to DTensor
2025-09-07T06:38:50.7452900Z          or ShardedTensor)
2025-09-07T06:38:50.7452940Z     
2025-09-07T06:38:50.7452980Z     .. note:
2025-09-07T06:38:50.7453060Z         Rank 0 is assumed to be the coordinator rank.
2025-09-07T06:38:50.7453110Z     
2025-09-07T06:38:50.7453150Z     Args:
2025-09-07T06:38:50.7453300Z         state_dict (Dict[str, Any]): The state_dict to load the checkpoint into.
2025-09-07T06:38:50.7453390Z         checkpoint_id (Union[str, os.PathLike, None]):
2025-09-07T06:38:50.7453520Z             The ID of this checkpoint instance. The meaning of the checkpoint_id
2025-09-07T06:38:50.7453640Z             depends on the storage. It can be a path to a folder or to a file.
2025-09-07T06:38:50.7453740Z             It can also be a key if the storage is a key-value store.
2025-09-07T06:38:50.7453800Z             (Default: ``None``)
2025-09-07T06:38:50.7453880Z         storage_reader (Optional[StorageReader]):
2025-09-07T06:38:50.7454000Z             Instance of StorageWriter used to perform reads. If this is not
2025-09-07T06:38:50.7454120Z             specified, DCP will automatically infer the reader based on the
2025-09-07T06:38:50.7454270Z             checkpoint_id. If checkpoint_id is also None, an exception will
2025-09-07T06:38:50.7454330Z             be raised. (Default: ``None``)
2025-09-07T06:38:50.7454390Z         planner (Optional[LoadPlanner]):
2025-09-07T06:38:50.7454510Z             Instance of LoadPlanner. If this is not specified, the default
2025-09-07T06:38:50.7454590Z             planner will be used. (Default: ``None``)
2025-09-07T06:38:50.7454670Z         process_group (Optional[ProcessGroup]):
2025-09-07T06:38:50.7454780Z             ProcessGroup to be used for cross-rank synchronization.
2025-09-07T06:38:50.7454830Z             (Default: ``None``)
2025-09-07T06:38:50.7454960Z         no_dist (bool): If ``True``, this function will assume the intent is to load
2025-09-07T06:38:50.7455110Z             a checkpoint without using cross-rank synchronization. (Default: ``False``)
2025-09-07T06:38:50.7455160Z     Returns:
2025-09-07T06:38:50.7455200Z         None.
2025-09-07T06:38:50.7455240Z     
2025-09-07T06:38:50.7455280Z     Examples
2025-09-07T06:38:50.7455330Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7455390Z         >>> my_model = MyModule()
2025-09-07T06:38:50.7455470Z         >>> optimizer = Adagrad(my_model.parameters())
2025-09-07T06:38:50.7455550Z         >>> model_state_dict = my_model.state_dict()
2025-09-07T06:38:50.7455720Z         >>> fs_storage_reader = torch.distributed.checkpoint.FileSystemReader(
2025-09-07T06:38:50.7455770Z         ...     "/checkpoint/1"
2025-09-07T06:38:50.7455810Z         ... )
2025-09-07T06:38:50.7455850Z     
2025-09-07T06:38:50.7455940Z         >>> torch.distributed.checkpoint.load_state_dict(
2025-09-07T06:38:50.7456030Z         >>>     state_dict=model_state_dict,
2025-09-07T06:38:50.7456100Z         >>>     storage_reader=fs_storage_reader,
2025-09-07T06:38:50.7456140Z         >>> )
2025-09-07T06:38:50.7456180Z     
2025-09-07T06:38:50.7456300Z         >>> # module.load_state_dict() function might have customized steps
2025-09-07T06:38:50.7456380Z         >>> # to flush the state_dict, must call it to
2025-09-07T06:38:50.7456440Z         >>> # ensure correct behavior.
2025-09-07T06:38:50.7456520Z         >>> my_model.load_state_dict(model_state_dict)
2025-09-07T06:38:50.7456550Z     
2025-09-07T06:38:50.7456600Z     .. note::
2025-09-07T06:38:50.7456720Z         load_state_dict uses collectives to coordinate reads across ranks.
2025-09-07T06:38:50.7456850Z         For NCCL-based process groups, internal tensor representations of
2025-09-07T06:38:50.7456990Z         objects must be moved to the GPU device before communication takes place.
2025-09-07T06:38:50.7457130Z         In this case, the device used is given by ``torch.cuda.current_device()``
2025-09-07T06:38:50.7457260Z         and it is the user's responsibility to ensure that this is set so that each
2025-09-07T06:38:50.7457380Z         rank has an individual GPU, via ``torch.cuda.set_device()``.
2025-09-07T06:38:50.7457420Z     
2025-09-07T06:38:50.7457570Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7457610Z     
2025-09-07T06:38:50.7457660Z       warnings.warn(msg)
2025-09-07T06:38:50.7457700Z     
2025-09-07T06:38:50.7457830Z --- Parse Warning: 65 / 146 ---
2025-09-07T06:38:50.7458580Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_sharded_optimizer_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/checkpoint/optimizer.py line=221.
2025-09-07T06:38:50.7458740Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7458780Z     
2025-09-07T06:38:50.7458910Z     Load a state_dict in conjunction with FSDP sharded optimizer state.
2025-09-07T06:38:50.7458950Z     
2025-09-07T06:38:50.7459040Z     This is the current recommended way to checkpoint FSDP.
2025-09-07T06:38:50.7459190Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7459280Z     >>> import torch.distributed.checkpoint as dist_cp
2025-09-07T06:38:50.7459320Z     >>> # Save
2025-09-07T06:38:50.7459370Z     >>> model: torch.nn.Model
2025-09-07T06:38:50.7459440Z     >>> optim_params = model.parameters()
2025-09-07T06:38:50.7459530Z     >>> optim = torch.optim.SGD(optim_params, lr=0.01)
2025-09-07T06:38:50.7459570Z     >>> # Save
2025-09-07T06:38:50.7459700Z     >>> with FSDP.state_dict_type(model, StateDictType.SHARDED_STATE_DICT):
2025-09-07T06:38:50.7459750Z     >>>     state_dict = {
2025-09-07T06:38:50.7459850Z     >>>         "optimizer": FSDP.optim_state_dict(model, optim),
2025-09-07T06:38:50.7459910Z     >>>         "model": model.state_dict()
2025-09-07T06:38:50.7459960Z     >>>     }
2025-09-07T06:38:50.7460010Z     >>>     dist_cp.save_state_dict(
2025-09-07T06:38:50.7460070Z     >>>         state_dict=optim_state,
2025-09-07T06:38:50.7460180Z     >>>         storage_writer=dist_cp.FileSystemWriter("checkpoint"),
2025-09-07T06:38:50.7460260Z     >>>         planner=dist_cp.DefaultSavePlanner(),
2025-09-07T06:38:50.7460300Z     >>>     )
2025-09-07T06:38:50.7460340Z     >>>
2025-09-07T06:38:50.7460380Z     >>> # Load
2025-09-07T06:38:50.7460520Z     >>> with FSDP.state_dict_type(model_tp, StateDictType.SHARDED_STATE_DICT):
2025-09-07T06:38:50.7460600Z     >>>     model_state_dict = model_tp.state_dict()
2025-09-07T06:38:50.7460670Z     >>>     checkpoint = {
2025-09-07T06:38:50.7460730Z     >>>         "model": model_state_dict
2025-09-07T06:38:50.7460770Z     >>>     }
2025-09-07T06:38:50.7460830Z     >>>     dist_cp.load_state_dict(
2025-09-07T06:38:50.7460890Z     >>>         state_dict=checkpoint,
2025-09-07T06:38:50.7461050Z     >>>         storage_reader=dist_cp.FileSystemReader(checkpoint_file),
2025-09-07T06:38:50.7461130Z     >>>         planner=dist_cp.DefaultLoadPlanner(),
2025-09-07T06:38:50.7461170Z     >>>     )
2025-09-07T06:38:50.7461260Z     >>>     model.load_state_dict(checkpoint["model_state"])
2025-09-07T06:38:50.7461300Z     >>>
2025-09-07T06:38:50.7461410Z     >>>     optim_state = dist_cp.load_sharded_optimizer_state_dict(
2025-09-07T06:38:50.7461460Z     >>>         model_state_dict,
2025-09-07T06:38:50.7461520Z     >>>         optimizer_key="optimizer",
2025-09-07T06:38:50.7461630Z     >>>         storage_reader=dist_cp.FileSystemReader("checkpoint"),
2025-09-07T06:38:50.7461680Z     >>>     )
2025-09-07T06:38:50.7461710Z     >>>
2025-09-07T06:38:50.7461800Z     >>>     flattened_osd = FSDP.optim_state_dict_to_load(
2025-09-07T06:38:50.7461880Z     >>>        model, optim, optim_state["optimizer"]
2025-09-07T06:38:50.7461920Z     >>>     )
2025-09-07T06:38:50.7461960Z     >>>
2025-09-07T06:38:50.7462040Z     >>>     optim.load_state_dict(flattened_osd)
2025-09-07T06:38:50.7462070Z     
2025-09-07T06:38:50.7462230Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7462260Z     
2025-09-07T06:38:50.7462310Z       warnings.warn(msg)
2025-09-07T06:38:50.7462360Z     
2025-09-07T06:38:50.7462450Z --- Parse Warning: 66 / 146 ---
2025-09-07T06:38:50.7463200Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.__init__ in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=129.
2025-09-07T06:38:50.7463360Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7463400Z     
2025-09-07T06:38:50.7463530Z     RemoteModule instance can only be created after RPC initialization.
2025-09-07T06:38:50.7463580Z     
2025-09-07T06:38:50.7463700Z     It creates a user-specified module on a specified remote node.
2025-09-07T06:38:50.7463840Z     It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-09-07T06:38:50.7463900Z     executed on the remote node.
2025-09-07T06:38:50.7464060Z     It takes care of autograd recording to ensure the backward pass propagates
2025-09-07T06:38:50.7464160Z     gradients back to the corresponding remote module.
2025-09-07T06:38:50.7464370Z     It can be shared across processors using `RPC framework <https://pytorch.org/docs/stable/rpc.html>`__,
2025-09-07T06:38:50.7464490Z     without incurring any overheads of copying the actual module,
2025-09-07T06:38:50.7464620Z     which is equivalent to an :class:`~torch.distributed.rpc.RRef`
2025-09-07T06:38:50.7464670Z     pointing to the remote module.
2025-09-07T06:38:50.7464720Z     
2025-09-07T06:38:50.7464840Z     The arguments of ``forward_async`` and ``forward`` are the same as
2025-09-07T06:38:50.7464960Z     the ``forward`` method of the module returned by the ``module_cls``.
2025-09-07T06:38:50.7465000Z     
2025-09-07T06:38:50.7465180Z     Apart from ``forward_async`` and ``forward``, no other methods are supported from nn.Module for now.
2025-09-07T06:38:50.7465220Z     
2025-09-07T06:38:50.7465370Z     Particularly, to create a hybrid model, typically the local modules should be
2025-09-07T06:38:50.7465590Z     created outside of remote modules, rather than as submodules of any remote module (by calling ``add_module``).
2025-09-07T06:38:50.7465640Z     Hybrid Example:
2025-09-07T06:38:50.7465710Z             >>> class HybridModel(nn.Module):
2025-09-07T06:38:50.7465790Z             >>>     def __init__(self) -> None:
2025-09-07T06:38:50.7465860Z             >>>         nn.Module.__init__(self)
2025-09-07T06:38:50.7465950Z             >>>         self.remote_embedding = RemoteModule(...)
2025-09-07T06:38:50.7466030Z             >>>         self.local_linear = nn.Linear(...)
2025-09-07T06:38:50.7466070Z     
2025-09-07T06:38:50.7466220Z     For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-09-07T06:38:50.7466370Z     that has ``forward`` method signature, ``def forward(input: Tensor) -> Tensor:``,
2025-09-07T06:38:50.7466500Z     the generated ``RemoteModule`` will have 2 methods in signature of
2025-09-07T06:38:50.7466580Z     ``def forward(input: Tensor) -> Tensor:`` and
2025-09-07T06:38:50.7466680Z     ``def forward_async(input: Tensor) -> Future[Tensor]:``.
2025-09-07T06:38:50.7466720Z     
2025-09-07T06:38:50.7466760Z     .. note::
2025-09-07T06:38:50.7466850Z         If the remote module is placed on a cuda device,
2025-09-07T06:38:50.7466990Z         any input CPU tensors will be automatically moved to the same cuda device,
2025-09-07T06:38:50.7467230Z         and GPU tensors are returned over the wire according to the device map of the remote worker on TensorPipe RPC backend.
2025-09-07T06:38:50.7467270Z     
2025-09-07T06:38:50.7467310Z     Args:
2025-09-07T06:38:50.7467490Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-09-07T06:38:50.7467660Z             The device can be a local device or a remote device specified by one of the following remote
2025-09-07T06:38:50.7467710Z             formats:
2025-09-07T06:38:50.7467750Z     
2025-09-07T06:38:50.7467840Z                 1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-09-07T06:38:50.7467930Z                 2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-09-07T06:38:50.7467970Z     
2025-09-07T06:38:50.7468140Z             In addition, the device field can be optional and the default value is "cpu".
2025-09-07T06:38:50.7468210Z         module_cls (nn.Module): For example,
2025-09-07T06:38:50.7468270Z             >>> class MyModule(nn.Module):
2025-09-07T06:38:50.7468330Z             >>>     def forward(input):
2025-09-07T06:38:50.7468380Z             >>>         return input + 1
2025-09-07T06:38:50.7468430Z             >>>
2025-09-07T06:38:50.7468480Z             >>> module_cls = MyModule
2025-09-07T06:38:50.7468610Z         args (Sequence, optional): args to be passed to ``module_cls``.
2025-09-07T06:38:50.7468720Z         kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-09-07T06:38:50.7468890Z         _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-09-07T06:38:50.7469050Z             to be created. The type object should be decorated by @torch.jit.interface.
2025-09-07T06:38:50.7469190Z             If not provided, the generated RemoteModule is not torchscript-able.
2025-09-07T06:38:50.7469330Z             Warning, this is an experimental API and susceptible to frequent changes.
2025-09-07T06:38:50.7469380Z     
2025-09-07T06:38:50.7469420Z     Returns:
2025-09-07T06:38:50.7469560Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-09-07T06:38:50.7469700Z         user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-09-07T06:38:50.7469870Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-09-07T06:38:50.7469950Z         on the user-provided module on the remote side.
2025-09-07T06:38:50.7469990Z     
2025-09-07T06:38:50.7470040Z     Example::
2025-09-07T06:38:50.7470130Z         Run the following code in two different processes:
2025-09-07T06:38:50.7470170Z     
2025-09-07T06:38:50.7470230Z         >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:50.7470280Z         >>> # On worker 0:
2025-09-07T06:38:50.7470330Z         >>> import torch
2025-09-07T06:38:50.7470410Z         >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:50.7470500Z         >>> from torch import nn, Tensor
2025-09-07T06:38:50.7470630Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-09-07T06:38:50.7470670Z         >>>
2025-09-07T06:38:50.7470760Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-09-07T06:38:50.7470830Z         >>> remote_linear_module = RemoteModule(
2025-09-07T06:38:50.7470930Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-09-07T06:38:50.7470970Z         >>> )
2025-09-07T06:38:50.7471030Z         >>> input = torch.randn(128, 20)
2025-09-07T06:38:50.7471130Z         >>> ret_fut = remote_linear_module.forward_async(input)
2025-09-07T06:38:50.7471180Z         >>> ret = ret_fut.wait()
2025-09-07T06:38:50.7471230Z         >>> rpc.shutdown()
2025-09-07T06:38:50.7471270Z     
2025-09-07T06:38:50.7471320Z         >>> # On worker 1:
2025-09-07T06:38:50.7471370Z         >>> import torch
2025-09-07T06:38:50.7471440Z         >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:50.7471480Z         >>>
2025-09-07T06:38:50.7471570Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-09-07T06:38:50.7471620Z         >>> rpc.shutdown()
2025-09-07T06:38:50.7471660Z     
2025-09-07T06:38:50.7471810Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7471850Z     
2025-09-07T06:38:50.7471900Z       warnings.warn(msg)
2025-09-07T06:38:50.7471940Z     
2025-09-07T06:38:50.7472040Z --- Parse Warning: 67 / 146 ---
2025-09-07T06:38:50.7472790Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_RemoteModule.init_from_module_rref in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=506.
2025-09-07T06:38:50.7472970Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7473010Z     
2025-09-07T06:38:50.7473200Z     Besides the constructor, a RemoteModule instance can also be initialized given a module RRef.
2025-09-07T06:38:50.7473240Z     
2025-09-07T06:38:50.7473430Z     This alternate initialization method can be particularly useful if we want to create multiple
2025-09-07T06:38:50.7473620Z     RemoteModule instances that share the same underlying module and reduce memory consumption.
2025-09-07T06:38:50.7473660Z     
2025-09-07T06:38:50.7473820Z     Moreover, this also provides a workaround for passing script RemoteModule over RPC,
2025-09-07T06:38:50.7473930Z     which is not supported. The recommended way is as follows:
2025-09-07T06:38:50.7473970Z     
2025-09-07T06:38:50.7474060Z         1. the sender creates a RemoteModule;
2025-09-07T06:38:50.7474150Z         2. the sender sends its ``module_rref`` over RPC;
2025-09-07T06:38:50.7474350Z         3. the receiver calls this method to initialize another RemoteModule using the same ``module_rref``.
2025-09-07T06:38:50.7474390Z     
2025-09-07T06:38:50.7474440Z     Example::
2025-09-07T06:38:50.7474530Z         Run the following code in two different processes:
2025-09-07T06:38:50.7474570Z     
2025-09-07T06:38:50.7474640Z         >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:50.7474680Z         >>> # On worker 0:
2025-09-07T06:38:50.7474730Z         >>> import torch
2025-09-07T06:38:50.7474800Z         >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:50.7474870Z         >>> from torch import nn, Tensor
2025-09-07T06:38:50.7475000Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-09-07T06:38:50.7475040Z         >>>
2025-09-07T06:38:50.7475120Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-09-07T06:38:50.7475190Z         >>> remote_module = RemoteModule(
2025-09-07T06:38:50.7475260Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-09-07T06:38:50.7475300Z         >>> )
2025-09-07T06:38:50.7475350Z         >>>
2025-09-07T06:38:50.7475410Z         >>> remote_module1 = rpc.rpc_sync(
2025-09-07T06:38:50.7475480Z         >>>     "worker1/cpu",
2025-09-07T06:38:50.7475560Z         >>>     RemoteModule.init_from_module_rref,
2025-09-07T06:38:50.7475660Z         >>>     ("worker1/cpu", remote_module1.get_module_rref()),
2025-09-07T06:38:50.7475690Z         >>> )
2025-09-07T06:38:50.7475750Z         >>> rpc.shutdown()
2025-09-07T06:38:50.7475780Z     
2025-09-07T06:38:50.7475850Z         >>> # On worker 1:
2025-09-07T06:38:50.7475900Z         >>> import torch
2025-09-07T06:38:50.7475970Z         >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:50.7476010Z         >>>
2025-09-07T06:38:50.7476100Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-09-07T06:38:50.7476150Z         >>> rpc.shutdown()
2025-09-07T06:38:50.7476190Z     
2025-09-07T06:38:50.7476230Z     Args:
2025-09-07T06:38:50.7476410Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-09-07T06:38:50.7476580Z             The device can be a local device or a remote device specified by one of the following remote
2025-09-07T06:38:50.7476630Z             formats:
2025-09-07T06:38:50.7476670Z     
2025-09-07T06:38:50.7476750Z                 1. "rank:<rank>/<device>" (ex: "rank:0/cuda:0").
2025-09-07T06:38:50.7476850Z                 2. "<worker_name>/<device>" (ex: "trainer0/cuda:0").
2025-09-07T06:38:50.7476890Z     
2025-09-07T06:38:50.7477030Z             In addition, the device field can be optional and the default value is "cpu".
2025-09-07T06:38:50.7477190Z         module_rref (RRef[nn.Module]): The module reference shared by both the caller and
2025-09-07T06:38:50.7477240Z             the created remote module.
2025-09-07T06:38:50.7477410Z         _module_interface_cls (type, optional): The TorchScript interface type for the module
2025-09-07T06:38:50.7477550Z             to be created. The type object should be decorated by @torch.jit.interface.
2025-09-07T06:38:50.7477700Z             If not provided, the generated RemoteModule is not torchscript-able.
2025-09-07T06:38:50.7477850Z             Warning, this is an experimental API and susceptible to frequent changes.
2025-09-07T06:38:50.7477890Z     
2025-09-07T06:38:50.7477930Z     Returns:
2025-09-07T06:38:50.7478080Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-09-07T06:38:50.7478220Z         user-provided ``module_rref``, it has a blocking ``forward`` method and an
2025-09-07T06:38:50.7478380Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-09-07T06:38:50.7478470Z         on the user-provided module on the remote side.
2025-09-07T06:38:50.7478510Z     
2025-09-07T06:38:50.7478680Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7478720Z     
2025-09-07T06:38:50.7478770Z       warnings.warn(msg)
2025-09-07T06:38:50.7478810Z     
2025-09-07T06:38:50.7478910Z --- Parse Warning: 68 / 146 ---
2025-09-07T06:38:50.7479600Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RemoteModule in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/nn/api/remote_module.py line=598.
2025-09-07T06:38:50.7479760Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7479800Z     
2025-09-07T06:38:50.7479940Z         A RemoteModule instance can only be created after RPC initialization.
2025-09-07T06:38:50.7479980Z     
2025-09-07T06:38:50.7480100Z         It creates a user-specified module on a specified remote node.
2025-09-07T06:38:50.7480240Z         It behaves like a regular ``nn.Module`` except that the ``forward`` method is
2025-09-07T06:38:50.7480300Z         executed on the remote node.
2025-09-07T06:38:50.7480440Z         It takes care of autograd recording to ensure the backward pass propagates
2025-09-07T06:38:50.7480540Z         gradients back to the corresponding remote module.
2025-09-07T06:38:50.7480600Z     
2025-09-07T06:38:50.7480730Z         It generates two methods ``forward_async`` and ``forward`` based on the
2025-09-07T06:38:50.7480860Z         signature of the ``forward`` method of ``module_cls``. ``forward_async``
2025-09-07T06:38:50.7481010Z         runs asynchronously and returns a Future. The arguments of ``forward_async``
2025-09-07T06:38:50.7481150Z         and ``forward`` are the same as the ``forward`` method of the module
2025-09-07T06:38:50.7481210Z         returned by the ``module_cls``.
2025-09-07T06:38:50.7481250Z     
2025-09-07T06:38:50.7481370Z         For example, if ``module_cls`` returns an instance of ``nn.Linear``,
2025-09-07T06:38:50.7481520Z         that has ``forward`` method signature: ``def forward(input: Tensor) -> Tensor:``,
2025-09-07T06:38:50.7481650Z         the generated ``RemoteModule`` will have 2 methods with the signatures:
2025-09-07T06:38:50.7481700Z     
2025-09-07T06:38:50.7481770Z         | ``def forward(input: Tensor) -> Tensor:``
2025-09-07T06:38:50.7481870Z         | ``def forward_async(input: Tensor) -> Future[Tensor]:``
2025-09-07T06:38:50.7481910Z     
2025-09-07T06:38:50.7481950Z     Args:
2025-09-07T06:38:50.7482130Z         remote_device (str): Device on the destination worker where we'd like to place this module.
2025-09-07T06:38:50.7482340Z             The format should be "<workername>/<device>", where the device field can be parsed as torch.device type.
2025-09-07T06:38:50.7482430Z             E.g., "trainer0/cpu", "trainer0", "ps0/cuda:0".
2025-09-07T06:38:50.7482570Z             In addition, the device field can be optional and the default value is "cpu".
2025-09-07T06:38:50.7482720Z         module_cls (nn.Module): Class for the module to be created remotely. For example,
2025-09-07T06:38:50.7482760Z     
2025-09-07T06:38:50.7482830Z             >>> class MyModule(nn.Module):
2025-09-07T06:38:50.7482910Z             >>>     def forward(input):
2025-09-07T06:38:50.7482970Z             >>>         return input + 1
2025-09-07T06:38:50.7483010Z             >>>
2025-09-07T06:38:50.7483070Z             >>> module_cls = MyModule
2025-09-07T06:38:50.7483110Z     
2025-09-07T06:38:50.7483230Z         args (Sequence, optional): args to be passed to ``module_cls``.
2025-09-07T06:38:50.7483350Z         kwargs (Dict, optional): kwargs to be passed to ``module_cls``.
2025-09-07T06:38:50.7483390Z     
2025-09-07T06:38:50.7483430Z     Returns:
2025-09-07T06:38:50.7483580Z         A remote module instance which wraps the :class:`~nn.Module` created by the
2025-09-07T06:38:50.7483710Z         user-provided ``module_cls``, it has a blocking ``forward`` method and an
2025-09-07T06:38:50.7483910Z         asynchronous ``forward_async`` method that returns a future of the ``forward`` call
2025-09-07T06:38:50.7484000Z         on the user-provided module on the remote side.
2025-09-07T06:38:50.7484040Z     
2025-09-07T06:38:50.7484080Z     Example::
2025-09-07T06:38:50.7484170Z         Run the following code in two different processes:
2025-09-07T06:38:50.7484210Z     
2025-09-07T06:38:50.7484280Z         >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:50.7484330Z         >>> # On worker 0:
2025-09-07T06:38:50.7484380Z         >>> import torch
2025-09-07T06:38:50.7484450Z         >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:50.7484510Z         >>> from torch import nn, Tensor
2025-09-07T06:38:50.7484650Z         >>> from torch.distributed.nn.api.remote_module import RemoteModule
2025-09-07T06:38:50.7484690Z         >>>
2025-09-07T06:38:50.7484770Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-09-07T06:38:50.7484840Z         >>> remote_linear_module = RemoteModule(
2025-09-07T06:38:50.7484920Z         >>>     "worker1/cpu", nn.Linear, args=(20, 30),
2025-09-07T06:38:50.7484960Z         >>> )
2025-09-07T06:38:50.7485020Z         >>> input = torch.randn(128, 20)
2025-09-07T06:38:50.7485120Z         >>> ret_fut = remote_linear_module.forward_async(input)
2025-09-07T06:38:50.7485170Z         >>> ret = ret_fut.wait()
2025-09-07T06:38:50.7485240Z         >>> rpc.shutdown()
2025-09-07T06:38:50.7485280Z     
2025-09-07T06:38:50.7485330Z         >>> # On worker 1:
2025-09-07T06:38:50.7485380Z         >>> import torch
2025-09-07T06:38:50.7485450Z         >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:50.7485490Z         >>>
2025-09-07T06:38:50.7485630Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-09-07T06:38:50.7485680Z         >>> rpc.shutdown()
2025-09-07T06:38:50.7485720Z     
2025-09-07T06:38:50.7485830Z         Furthermore, a more practical example that is combined with
2025-09-07T06:38:50.7486110Z         `DistributedDataParallel <https://pytorch.org/docs/stable/nn.html#torch.nn.parallel.DistributedDataParallel>`__ (DDP)
2025-09-07T06:38:50.7486310Z         can be found in this `tutorial <https://pytorch.org/tutorials/advanced/rpc_ddp_tutorial.html>`__.
2025-09-07T06:38:50.7486350Z     
2025-09-07T06:38:50.7486510Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7486550Z     
2025-09-07T06:38:50.7486600Z       warnings.warn(msg)
2025-09-07T06:38:50.7486640Z     
2025-09-07T06:38:50.7486740Z --- Parse Warning: 69 / 146 ---
2025-09-07T06:38:50.7487480Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=construct_and_record_rdzv_event in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/elastic/events/__init__.py line=94.
2025-09-07T06:38:50.7487640Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7487680Z     
2025-09-07T06:38:50.7487800Z     Initialize rendezvous event object and record its operations.
2025-09-07T06:38:50.7487840Z     
2025-09-07T06:38:50.7487880Z     Args:
2025-09-07T06:38:50.7487980Z         run_id (str): The run id of the rendezvous.
2025-09-07T06:38:50.7488070Z         message (str): The message describing the event.
2025-09-07T06:38:50.7488220Z         node_state (NodeState): The state of the node (INIT, RUNNING, SUCCEEDED, FAILED).
2025-09-07T06:38:50.7488340Z         name (str): Event name. (E.g. Current action being performed).
2025-09-07T06:38:50.7488410Z         hostname (str): Hostname of the node.
2025-09-07T06:38:50.7488490Z         pid (Optional[int]): The process id of the node.
2025-09-07T06:38:50.7488640Z         master_endpoint (str): The master endpoint for the rendezvous store, if known.
2025-09-07T06:38:50.7488800Z         local_id (Optional[int]):  The local_id of the node, if defined in dynamic_rendezvous.py
2025-09-07T06:38:50.7488930Z         rank (Optional[int]): The rank of the node, if known.
2025-09-07T06:38:50.7488970Z     Returns:
2025-09-07T06:38:50.7489010Z         None
2025-09-07T06:38:50.7489050Z     Example:
2025-09-07T06:38:50.7489130Z         >>> # See DynamicRendezvousHandler class
2025-09-07T06:38:50.7489180Z         >>> def _record(
2025-09-07T06:38:50.7489220Z         ...     self,
2025-09-07T06:38:50.7489270Z         ...     message: str,
2025-09-07T06:38:50.7489360Z         ...     node_state: NodeState = NodeState.RUNNING,
2025-09-07T06:38:50.7489420Z         ...     rank: Optional[int] = None,
2025-09-07T06:38:50.7489470Z         ... ) -> None:
2025-09-07T06:38:50.7489540Z         ...     construct_and_record_rdzv_event(
2025-09-07T06:38:50.7489640Z         ...         name=f"{self.__class__.__name__}.{get_method_name()}",
2025-09-07T06:38:50.7489710Z         ...         run_id=self._settings.run_id,
2025-09-07T06:38:50.7489770Z         ...         message=message,
2025-09-07T06:38:50.7489820Z         ...         node_state=node_state,
2025-09-07T06:38:50.7489890Z         ...         hostname=self._this_node.addr,
2025-09-07T06:38:50.7489960Z         ...         pid=self._this_node.pid,
2025-09-07T06:38:50.7490030Z         ...         local_id=self._this_node.local_id,
2025-09-07T06:38:50.7490080Z         ...         rank=rank,
2025-09-07T06:38:50.7490120Z         ...     )
2025-09-07T06:38:50.7490190Z     
2025-09-07T06:38:50.7490340Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7490380Z     
2025-09-07T06:38:50.7490430Z       warnings.warn(msg)
2025-09-07T06:38:50.7490470Z     
2025-09-07T06:38:50.7490570Z --- Parse Warning: 70 / 146 ---
2025-09-07T06:38:50.7491300Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_CustomReducer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/pipelining/microbatch.py line=29.
2025-09-07T06:38:50.7491460Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7491500Z     
2025-09-07T06:38:50.7491640Z     Custom reducer class that can be used to specify a custom operation that
2025-09-07T06:38:50.7491740Z     reduces losses of multiple microbatches into one value.
2025-09-07T06:38:50.7491780Z     
2025-09-07T06:38:50.7491820Z     Example:
2025-09-07T06:38:50.7491870Z     >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7491930Z     >>> sum_reducer = _CustomReducer(
2025-09-07T06:38:50.7491990Z     >>>     torch.tensor(0.0),
2025-09-07T06:38:50.7492040Z     >>>     lambda a, b: a + b
2025-09-07T06:38:50.7492080Z     >>> )
2025-09-07T06:38:50.7492120Z     
2025-09-07T06:38:50.7492270Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7492310Z     
2025-09-07T06:38:50.7492360Z       warnings.warn(msg)
2025-09-07T06:38:50.7492400Z     
2025-09-07T06:38:50.7492490Z --- Parse Warning: 71 / 146 ---
2025-09-07T06:38:50.7493280Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PeriodicModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/averagers.py line=38.
2025-09-07T06:38:50.7493440Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7493480Z     
2025-09-07T06:38:50.7493590Z     Averages parameters periodically after the warm-up stage.
2025-09-07T06:38:50.7493630Z     
2025-09-07T06:38:50.7493780Z     This can be used for running `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-09-07T06:38:50.7493900Z     by running :class:`~torch.nn.DistributedDataParallel` (DDP)
2025-09-07T06:38:50.7494040Z     using the subgroups created by :meth:`~torch.distributed.new_subgroups`.
2025-09-07T06:38:50.7494080Z     
2025-09-07T06:38:50.7494140Z     Args:
2025-09-07T06:38:50.7494250Z         period (int): The number of steps per model averaging.
2025-09-07T06:38:50.7494410Z                       Usually the period should be greater than ``1`` to reduce the communication cost.
2025-09-07T06:38:50.7494490Z                       Otherwise, only DDP needs to be used.
2025-09-07T06:38:50.7494620Z         warmup_steps (int): The number of warm-up steps. During this stage,
2025-09-07T06:38:50.7494690Z                             model averaging is skipped.
2025-09-07T06:38:50.7494800Z         process_group: The process group to be used for all-reduce.
2025-09-07T06:38:50.7494900Z                        If ``None``, the default process group, which
2025-09-07T06:38:50.7495010Z                        is created by :func:`torch.distributed.init_process_group`,
2025-09-07T06:38:50.7495090Z                        will be used. (default: ``None``)
2025-09-07T06:38:50.7495130Z     
2025-09-07T06:38:50.7495170Z     Example::
2025-09-07T06:38:50.7495210Z     
2025-09-07T06:38:50.7495290Z         >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:50.7495340Z         >>> import torch
2025-09-07T06:38:50.7495410Z         >>> import torch.distributed as dist
2025-09-07T06:38:50.7495600Z         >>> import torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook as post_localSGD
2025-09-07T06:38:50.7495790Z         >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-09-07T06:38:50.7495840Z         >>> import torch.nn as nn
2025-09-07T06:38:50.7495880Z         >>>
2025-09-07T06:38:50.7495990Z         >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-09-07T06:38:50.7496050Z         >>> torch.cuda.set_device(rank)
2025-09-07T06:38:50.7496150Z         >>> module = nn.Linear(1, 1, bias=False).cuda()
2025-09-07T06:38:50.7496250Z         >>> model = nn.parallel.DistributedDataParallel(
2025-09-07T06:38:50.7496330Z         >>>    module, device_ids=[rank], output_device=rank
2025-09-07T06:38:50.7496370Z         >>> )
2025-09-07T06:38:50.7496460Z         >>> # Register a post-localSGD communication hook.
2025-09-07T06:38:50.7496640Z         >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-09-07T06:38:50.7496740Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-09-07T06:38:50.7496780Z         >>>
2025-09-07T06:38:50.7496940Z         >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-09-07T06:38:50.7497040Z         >>> # After 100 steps, run model averaging every 4 steps.
2025-09-07T06:38:50.7497230Z         >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-09-07T06:38:50.7497390Z         >>> averager = averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-09-07T06:38:50.7497440Z         >>> for step in range(0, 200):
2025-09-07T06:38:50.7497500Z         >>>    optimizer.zero_grad()
2025-09-07T06:38:50.7497570Z         >>>    loss = loss_fn(output, labels)
2025-09-07T06:38:50.7497630Z         >>>    loss.backward()
2025-09-07T06:38:50.7497680Z         >>>    optimizer.step()
2025-09-07T06:38:50.7497800Z         >>>    # Will average model parameters globally every 4 steps. Thus,
2025-09-07T06:38:50.7497940Z         >>>    # inter-node communication only occurs every 4 iterations after
2025-09-07T06:38:50.7498020Z         >>>    # the initial ``warmup_steps`` period.
2025-09-07T06:38:50.7498120Z         >>>    averager.average_parameters(model.parameters())
2025-09-07T06:38:50.7498150Z     
2025-09-07T06:38:50.7498300Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7498340Z     
2025-09-07T06:38:50.7498400Z       warnings.warn(msg)
2025-09-07T06:38:50.7498430Z     
2025-09-07T06:38:50.7498530Z --- Parse Warning: 72 / 146 ---
2025-09-07T06:38:50.7499360Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=HierarchicalModelAverager in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/algorithms/model_averaging/hierarchical_model_averager.py line=19.
2025-09-07T06:38:50.7499540Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7499580Z     
2025-09-07T06:38:50.7499780Z     Runs hierarchical model averaging (`hierarchical SGD <https://arxiv.org/pdf/2010.12998.pdf>`_).
2025-09-07T06:38:50.7499820Z     
2025-09-07T06:38:50.7502820Z     Process groups of different sizes are organized in a hierarchy, and they average parameters
2025-09-07T06:38:50.7502970Z     by using different periods concurrently after the warm-up stage.
2025-09-07T06:38:50.7503210Z     This is an extension of :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`
2025-09-07T06:38:50.7503420Z     that supports `post-local SGD <https://arxiv.org/abs/1808.07217>`_, which essentially only supports
2025-09-07T06:38:50.7503600Z     a two-level hierarchy: the intra-machine level and the global level, where the intra-machine
2025-09-07T06:38:50.7503810Z     level is usually embedded in :meth:`~torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook`.
2025-09-07T06:38:50.7503990Z     Similarly, the process groups within this class do not have such an intra-machine process
2025-09-07T06:38:50.7504240Z     subgroup, which should be embedded by the post-local SGD communication hook instead.
2025-09-07T06:38:50.7504280Z     
2025-09-07T06:38:50.7504320Z     Args:
2025-09-07T06:38:50.7504490Z         period_group_size_dict: An ordered dict mapping keys of model averaging period to
2025-09-07T06:38:50.7504630Z                                 process group size, used for initializing process groups of
2025-09-07T06:38:50.7504770Z                                 different sizes in a hierarchy to average parameters concurrently.
2025-09-07T06:38:50.7504900Z                                 Particularly, at each iteration, there will be at most a single
2025-09-07T06:38:50.7505040Z                                 process group that runs averaging -- the period of such group should
2025-09-07T06:38:50.7505180Z                                 have the largest period which the current step can be divided by.
2025-09-07T06:38:50.7505280Z                                 For example, if the dict has three keys: 2, 4, and 8,
2025-09-07T06:38:50.7505410Z                                 then this means totally three process groups will be created to
2025-09-07T06:38:50.7505540Z                                 average parameters every 2, 4, and 8 iterations, respectively.
2025-09-07T06:38:50.7505660Z                                 At the 4th iteration, only the second process group will run
2025-09-07T06:38:50.7505770Z                                 averaging, because the first process group should be a
2025-09-07T06:38:50.7505900Z                                 subset of the second process group, and no need to execute the first
2025-09-07T06:38:50.7505980Z                                 process group redundantly.
2025-09-07T06:38:50.7506110Z                                 On the other hand, the third process group can only be triggered
2025-09-07T06:38:50.7506270Z                                 every 8 iterations, so it will not be triggered at the 4th iteration.
2025-09-07T06:38:50.7506460Z         warmup_steps (int): The number of warm-up steps. During this stage, model averaging is skipped.
2025-09-07T06:38:50.7506720Z         process_group (ProcessGroup, optional): The overall process group containing all the processes that runs model averaging.
2025-09-07T06:38:50.7506830Z                                                 If ``None``, the default process group, which is created
2025-09-07T06:38:50.7506970Z                                                 by :func:`torch.distributed.init_process_group`, will be used.
2025-09-07T06:38:50.7507050Z                                                 (default: ``None``)
2025-09-07T06:38:50.7507120Z     
2025-09-07T06:38:50.7507170Z     Example::
2025-09-07T06:38:50.7507240Z         >>> # xdoctest: +SKIP('undefined rank')
2025-09-07T06:38:50.7507310Z         >>> from collections import OrderedDict
2025-09-07T06:38:50.7507360Z         >>> import torch
2025-09-07T06:38:50.7507430Z         >>> import torch.distributed as dist
2025-09-07T06:38:50.7507590Z         >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-09-07T06:38:50.7507650Z         >>>     PostLocalSGDState,
2025-09-07T06:38:50.7507710Z         >>>     post_localSGD_hook,
2025-09-07T06:38:50.7507750Z         >>> )
2025-09-07T06:38:50.7507970Z         >>> import torch.distributed.algorithms.model_averaging.hierarchical_model_averager as hierarchicalSGD
2025-09-07T06:38:50.7508030Z         >>> import torch.nn as nn
2025-09-07T06:38:50.7508070Z         >>>
2025-09-07T06:38:50.7508180Z         >>> dist.init_process_group("nccl", rank=rank, world_size=16)
2025-09-07T06:38:50.7508240Z         >>> torch.cuda.set_device(rank)
2025-09-07T06:38:50.7508330Z         >>> module = nn.Linear(1, 1, bias=False).to(rank)
2025-09-07T06:38:50.7508420Z         >>> model = nn.parallel.DistributedDataParallel(
2025-09-07T06:38:50.7508510Z         >>>    module, device_ids=[rank], output_device=rank
2025-09-07T06:38:50.7508570Z         >>> )
2025-09-07T06:38:50.7508660Z         >>> # Register a post-localSGD communication hook.
2025-09-07T06:38:50.7508820Z         >>> # Assume that each machine has 4 GPUs, then each intra-machine subgroup has a size of 4.
2025-09-07T06:38:50.7508890Z         >>> subgroup, _ = dist.new_subgroups()
2025-09-07T06:38:50.7509100Z         >>> state = PostLocalSGDState(process_group=None, subgroup=subgroup, start_localSGD_iter=100)
2025-09-07T06:38:50.7509210Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-09-07T06:38:50.7509250Z         >>>
2025-09-07T06:38:50.7509420Z         >>> # Average parameters among each group of 8 processes every 4 iterations, and among all
2025-09-07T06:38:50.7509490Z         >>> # the 16 processes every 16 iterations.
2025-09-07T06:38:50.7509610Z         >>> averager = hierarchicalSGD.HierarchicalModelAverager(
2025-09-07T06:38:50.7509750Z         >>>     period_group_size_dict=OrderedDict([(4, 8), (16, 16)]), warmup_steps=100)
2025-09-07T06:38:50.7509940Z         >>> # Note that ``warmup_steps`` must be the same as ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-09-07T06:38:50.7510100Z         >>> # In the first 100 steps, run global gradient averaging like normal DDP at every step.
2025-09-07T06:38:50.7510200Z         >>> # After 100 steps, run model averaging at two levels.
2025-09-07T06:38:50.7510260Z         >>> for step in range(0, 200):
2025-09-07T06:38:50.7510320Z         >>>    optimizer.zero_grad()
2025-09-07T06:38:50.7510380Z         >>>    loss = loss_fn(output, labels)
2025-09-07T06:38:50.7510440Z         >>>    loss.backward()
2025-09-07T06:38:50.7510490Z         >>>    optimizer.step()
2025-09-07T06:38:50.7510590Z         >>>    # Average parameters after ``optimizer.step()``.
2025-09-07T06:38:50.7510760Z         >>>    # Thus, the inter-node communication only occurs periodically after ``warmup_steps``.
2025-09-07T06:38:50.7510880Z         >>>    averager.average_parameters(model.parameters())
2025-09-07T06:38:50.7510920Z     
2025-09-07T06:38:50.7510970Z     .. warning ::
2025-09-07T06:38:50.7511120Z         The last group size in the dict must be the size of the provided ``process_group``,
2025-09-07T06:38:50.7511260Z         which indicates model averaging at the highest level of the hierarchy.
2025-09-07T06:38:50.7511450Z         If ``process_group`` is not provided, then the last group size should be equal to the world size.
2025-09-07T06:38:50.7511490Z     
2025-09-07T06:38:50.7511530Z     .. warning ::
2025-09-07T06:38:50.7511670Z         `HierarchicalModelAverager` is experimental and subject to change.
2025-09-07T06:38:50.7511710Z     
2025-09-07T06:38:50.7511860Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7511950Z     
2025-09-07T06:38:50.7512000Z       warnings.warn(msg)
2025-09-07T06:38:50.7512040Z     
2025-09-07T06:38:50.7512150Z --- Parse Warning: 73 / 146 ---
2025-09-07T06:38:50.7512930Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=post_localSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/post_localSGD_hook.py line=72.
2025-09-07T06:38:50.7513080Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7513120Z     
2025-09-07T06:38:50.7513180Z     Run post-localSGD algorithm.
2025-09-07T06:38:50.7513220Z     
2025-09-07T06:38:50.7513360Z     This DDP communication hook is used for running post-localSGD algorithm,
2025-09-07T06:38:50.7513460Z     by combining with a model averaging component (e.g.,
2025-09-07T06:38:50.7513660Z     :class:`~torch.distributed.algorithms.model_averaging.averagers.PeriodicModelAverager`)
2025-09-07T06:38:50.7513720Z     that runs after the optimizer step.
2025-09-07T06:38:50.7513760Z     
2025-09-07T06:38:50.7513800Z     Args:
2025-09-07T06:38:50.7513930Z         state (PostLocalSGDState): State information to run post-localSGD.
2025-09-07T06:38:50.7514160Z             Users mainly need to tune ``start_localSGD_iter`` to determine when to start local SGD.
2025-09-07T06:38:50.7514410Z         bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-09-07T06:38:50.7514580Z             Note that since DDP comm hook only supports single process single device mode,
2025-09-07T06:38:50.7514680Z             only exactly one tensor is stored in this bucket.
2025-09-07T06:38:50.7514720Z     
2025-09-07T06:38:50.7514760Z     Returns:
2025-09-07T06:38:50.7514900Z         Future handler of the communication, which updates the gradients in place.
2025-09-07T06:38:50.7514940Z     
2025-09-07T06:38:50.7514990Z     Example::
2025-09-07T06:38:50.7515040Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7515190Z         >>> state = PostLocalSGDState(process_group=process_group, subgroup=subgroup,
2025-09-07T06:38:50.7515270Z                                   start_localSGD_iter=10)
2025-09-07T06:38:50.7515380Z         >>> ddp_model.register_comm_hook(state, post_localSGD_hook)
2025-09-07T06:38:50.7515580Z         >>> # Also need to establish a model averaging module and run model averaging after ``optimizer.step()``.
2025-09-07T06:38:50.7515780Z         >>> # Please refer to the examples in ``torch.distributed.algorithms.model_averaging.averagers`` module.
2025-09-07T06:38:50.7515820Z     
2025-09-07T06:38:50.7515970Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7516010Z     
2025-09-07T06:38:50.7516060Z       warnings.warn(msg)
2025-09-07T06:38:50.7516100Z     
2025-09-07T06:38:50.7516200Z --- Parse Warning: 74 / 146 ---
2025-09-07T06:38:50.7516970Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=powerSGD_hook in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/algorithms/ddp_comm_hooks/powerSGD_hook.py line=342.
2025-09-07T06:38:50.7517130Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7517170Z     
2025-09-07T06:38:50.7517240Z     Implement PowerSGD algorithm.
2025-09-07T06:38:50.7517270Z     
2025-09-07T06:38:50.7517410Z     This DDP communication hook implements PowerSGD gradient compression
2025-09-07T06:38:50.7517550Z     algorithm described in the `paper <https://arxiv.org/abs/1905.13727>`_.
2025-09-07T06:38:50.7517690Z     Once gradient tensors are aggregated across all workers, this hook applies
2025-09-07T06:38:50.7517770Z     compression as follows:
2025-09-07T06:38:50.7517810Z     
2025-09-07T06:38:50.7518070Z     1. Views the input flattened 1D gradient tensor as a list of per-parameter tensors, and divides all the tensors into two groups:
2025-09-07T06:38:50.7518110Z     
2025-09-07T06:38:50.7518350Z         1.1 The tensors that should be compressed before allreduce, because the compression can give enough saving in bandwidth.
2025-09-07T06:38:50.7518390Z     
2025-09-07T06:38:50.7518630Z         1.2 Rest of the tensors will be directly allreduced without compression, including all the vector tensors (for biases).
2025-09-07T06:38:50.7518670Z     
2025-09-07T06:38:50.7518730Z     2. Handles uncompressed tensors:
2025-09-07T06:38:50.7518770Z     
2025-09-07T06:38:50.7519070Z         2.1. Allocate contiguous memory for those uncompressed tensors, and allreduces all the uncompressed tensors as a batch, without compression;
2025-09-07T06:38:50.7519110Z     
2025-09-07T06:38:50.7519310Z         2.2. Copies the individual uncompressed tensors from the contiguous memory back to the input tensor.
2025-09-07T06:38:50.7519350Z     
2025-09-07T06:38:50.7519490Z     3. Handles the tensors that should be compressed by PowerSGD compression:
2025-09-07T06:38:50.7519530Z     
2025-09-07T06:38:50.7519670Z         3.1. For each tensor M, creates two low-rank tensors P and Q for decomposing M,
2025-09-07T06:38:50.7519890Z         such that M = PQ^T, where Q is initialized from a standard normal distribution and orthogonalized;
2025-09-07T06:38:50.7519920Z     
2025-09-07T06:38:50.7520010Z         3.2. Computes each P in Ps, which is equal to MQ;
2025-09-07T06:38:50.7520050Z     
2025-09-07T06:38:50.7520120Z         3.3. Allreduces Ps as a batch;
2025-09-07T06:38:50.7520170Z     
2025-09-07T06:38:50.7520240Z         3.4. Orthogonalizes each P in Ps;
2025-09-07T06:38:50.7520280Z     
2025-09-07T06:38:50.7520400Z         3.5. Computes each Q in Qs, which is approximately equal to M^TP;
2025-09-07T06:38:50.7520440Z     
2025-09-07T06:38:50.7520500Z         3.6. Allreduces Qs as a batch;
2025-09-07T06:38:50.7520540Z     
2025-09-07T06:38:50.7520710Z         3.7. Computes each M among all the compressed tensors, which is approximately equal to PQ^T.
2025-09-07T06:38:50.7520750Z     
2025-09-07T06:38:50.7521000Z     Note that this communication hook enforces vanilla allreduce for the first ``state.start_powerSGD_iter`` iterations.
2025-09-07T06:38:50.7521170Z     This not only gives the user more control over the tradeoff between speedup and accuracy,
2025-09-07T06:38:50.7521420Z     but also helps abstract away some complexity of the internal optimization of DDP for future communication hook developers.
2025-09-07T06:38:50.7521460Z     
2025-09-07T06:38:50.7521500Z     Args:
2025-09-07T06:38:50.7521760Z         state (PowerSGDState): State information to configure the compression rate and support error feedback, warm start, etc.
2025-09-07T06:38:50.7521970Z             To tune the compression configs, mainly need to tune ``matrix_approximation_rank``, ``start_powerSGD_iter``
2025-09-07T06:38:50.7522040Z             and ``min_compression_rate``.
2025-09-07T06:38:50.7522290Z         bucket (dist.GradBucket): Bucket that stores a 1D flattened gradient tensor that batches multiple per-variable tensors.
2025-09-07T06:38:50.7522450Z             Note that since DDP comm hook only supports single process single device mode,
2025-09-07T06:38:50.7522550Z             only exactly one tensor is stored in this bucket.
2025-09-07T06:38:50.7522590Z     
2025-09-07T06:38:50.7522630Z     Returns:
2025-09-07T06:38:50.7522770Z         Future handler of the communication, which updates the gradients in place.
2025-09-07T06:38:50.7522810Z     
2025-09-07T06:38:50.7522850Z     Example::
2025-09-07T06:38:50.7522910Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7523070Z         >>> state = PowerSGDState(process_group=process_group, matrix_approximation_rank=1,
2025-09-07T06:38:50.7523170Z                                   start_powerSGD_iter=10, min_compression_rate=0.5)
2025-09-07T06:38:50.7523280Z         >>> ddp_model.register_comm_hook(state, powerSGD_hook)
2025-09-07T06:38:50.7523330Z     
2025-09-07T06:38:50.7523480Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7523520Z     
2025-09-07T06:38:50.7523570Z       warnings.warn(msg)
2025-09-07T06:38:50.7523610Z     
2025-09-07T06:38:50.7523710Z --- Parse Warning: 75 / 146 ---
2025-09-07T06:38:50.7524460Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PostLocalSGDOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/optim/post_localSGD_optimizer.py line=9.
2025-09-07T06:38:50.7524610Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7524650Z     
2025-09-07T06:38:50.7524880Z     Wraps an arbitrary :class:`torch.optim.Optimizer` and runs `post-local SGD <https://arxiv.org/abs/1808.07217>`_,
2025-09-07T06:38:50.7524980Z     This optimizer runs local optimizer at every step.
2025-09-07T06:38:50.7525180Z     After the warm-up stage, it averages parameters periodically after the local optimizer is applied.
2025-09-07T06:38:50.7525220Z     
2025-09-07T06:38:50.7525280Z     Args:
2025-09-07T06:38:50.7525340Z         optim: The local optimizer.
2025-09-07T06:38:50.7525470Z         averager: A model averager instance to run post-localSGD algorithm.
2025-09-07T06:38:50.7525510Z     
2025-09-07T06:38:50.7525550Z     Example::
2025-09-07T06:38:50.7525590Z     
2025-09-07T06:38:50.7525670Z         >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:50.7525730Z         >>> import torch
2025-09-07T06:38:50.7525800Z         >>> import torch.distributed as dist
2025-09-07T06:38:50.7525960Z         >>> import torch.distributed.algorithms.model_averaging.averagers as averagers
2025-09-07T06:38:50.7526020Z         >>> import torch.nn as nn
2025-09-07T06:38:50.7526140Z         >>> from torch.distributed.optim import PostLocalSGDOptimizer
2025-09-07T06:38:50.7526300Z         >>> from torch.distributed.algorithms.ddp_comm_hooks.post_localSGD_hook import (
2025-09-07T06:38:50.7526360Z         >>>   PostLocalSGDState,
2025-09-07T06:38:50.7526410Z         >>>   post_localSGD_hook,
2025-09-07T06:38:50.7526450Z         >>> )
2025-09-07T06:38:50.7526490Z         >>>
2025-09-07T06:38:50.7526590Z         >>> model = nn.parallel.DistributedDataParallel(
2025-09-07T06:38:50.7526670Z         >>>    module, device_ids=[rank], output_device=rank
2025-09-07T06:38:50.7526720Z         >>> )
2025-09-07T06:38:50.7526760Z         >>>
2025-09-07T06:38:50.7526840Z         >>> # Register a post-localSGD communication hook.
2025-09-07T06:38:50.7527020Z         >>> state = PostLocalSGDState(process_group=None, subgroup=None, start_localSGD_iter=100)
2025-09-07T06:38:50.7527120Z         >>> model.register_comm_hook(state, post_localSGD_hook)
2025-09-07T06:38:50.7527160Z         >>>
2025-09-07T06:38:50.7527290Z         >>> # Create a post-localSGD optimizer that wraps a local optimizer.
2025-09-07T06:38:50.7527440Z         >>> # Note that ``warmup_steps`` used in ``PostLocalSGDOptimizer`` must be the same as
2025-09-07T06:38:50.7527570Z         >>> # ``start_localSGD_iter`` used in ``PostLocalSGDState``.
2025-09-07T06:38:50.7527710Z         >>> local_optim = torch.optim.SGD(params=model.parameters(), lr=0.01)
2025-09-07T06:38:50.7527770Z         >>> opt = PostLocalSGDOptimizer(
2025-09-07T06:38:50.7527830Z         >>>     optim=local_optim,
2025-09-07T06:38:50.7527980Z         >>>     averager=averagers.PeriodicModelAverager(period=4, warmup_steps=100)
2025-09-07T06:38:50.7528020Z         >>> )
2025-09-07T06:38:50.7528060Z         >>>
2025-09-07T06:38:50.7528200Z         >>> # In the first 100 steps, DDP runs global gradient averaging at every step.
2025-09-07T06:38:50.7528380Z         >>> # After 100 steps, DDP runs gradient averaging within each subgroup (intra-node by default),
2025-09-07T06:38:50.7528630Z         >>> # and post-localSGD optimizer runs global model averaging every 4 steps after applying the local optimizer.
2025-09-07T06:38:50.7528690Z         >>> for step in range(0, 200):
2025-09-07T06:38:50.7528740Z         >>>    opt.zero_grad()
2025-09-07T06:38:50.7528810Z         >>>    loss = loss_fn(output, labels)
2025-09-07T06:38:50.7528860Z         >>>    loss.backward()
2025-09-07T06:38:50.7528910Z         >>>    opt.step()
2025-09-07T06:38:50.7528950Z     
2025-09-07T06:38:50.7529110Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7529150Z     
2025-09-07T06:38:50.7529200Z       warnings.warn(msg)
2025-09-07T06:38:50.7529240Z     
2025-09-07T06:38:50.7529340Z --- Parse Warning: 76 / 146 ---
2025-09-07T06:38:50.7530040Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/optim/optimizer.py line=129.
2025-09-07T06:38:50.7530200Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7530240Z     
2025-09-07T06:38:50.7530390Z     DistributedOptimizer takes remote references to parameters scattered
2025-09-07T06:38:50.7530550Z     across workers and applies the given optimizer locally for each parameter.
2025-09-07T06:38:50.7530590Z     
2025-09-07T06:38:50.7530730Z     This class uses :meth:`~torch.distributed.autograd.get_gradients` in order
2025-09-07T06:38:50.7530820Z     to retrieve the gradients for specific parameters.
2025-09-07T06:38:50.7530860Z     
2025-09-07T06:38:50.7530960Z     Concurrent calls to
2025-09-07T06:38:50.7531090Z     :meth:`~torch.distributed.optim.DistributedOptimizer.step`,
2025-09-07T06:38:50.7531170Z     either from the same or different clients, will
2025-09-07T06:38:50.7531300Z     be serialized on each worker -- as each worker's optimizer can only work
2025-09-07T06:38:50.7531430Z     on one set of gradients at a time. However, there is no guarantee that
2025-09-07T06:38:50.7531580Z     the full forward-backward-optimizer sequence will execute for one client
2025-09-07T06:38:50.7531710Z     at a time. This means that the gradients being applied may not correspond
2025-09-07T06:38:50.7531850Z     to the latest forward pass executed on a given worker. Also, there is no
2025-09-07T06:38:50.7531910Z     guaranteed ordering across workers.
2025-09-07T06:38:50.7531950Z     
2025-09-07T06:38:50.7532100Z     `DistributedOptimizer` creates the local optimizer with TorchScript enabled
2025-09-07T06:38:50.7532240Z     by default, so that optimizer updates are not blocked by the Python Global
2025-09-07T06:38:50.7532390Z     Interpreter Lock (GIL) in the case of multithreaded training (e.g. Distributed
2025-09-07T06:38:50.7532530Z     Model Parallel). This feature is currently enabled for most optimizers. You
2025-09-07T06:38:50.7532680Z     can also follow `the recipe`__ in PyTorch tutorials to enable TorchScript support
2025-09-07T06:38:50.7532750Z     for your own custom optimizers.
2025-09-07T06:38:50.7532790Z     
2025-09-07T06:38:50.7532830Z     Args:
2025-09-07T06:38:50.7532970Z         optimizer_class (optim.Optimizer): the class of optimizer to
2025-09-07T06:38:50.7533040Z             instantiate on each worker.
2025-09-07T06:38:50.7533160Z         params_rref (list[RRef]): list of RRefs to local or remote parameters
2025-09-07T06:38:50.7533210Z             to optimize.
2025-09-07T06:38:50.7533340Z         args: arguments to pass to the optimizer constructor on each worker.
2025-09-07T06:38:50.7533470Z         kwargs: arguments to pass to the optimizer constructor on each worker.
2025-09-07T06:38:50.7533510Z     
2025-09-07T06:38:50.7533560Z     Example::
2025-09-07T06:38:50.7533620Z         >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:50.7533720Z         >>> import torch.distributed.autograd as dist_autograd
2025-09-07T06:38:50.7533820Z         >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:50.7533880Z         >>> from torch import optim
2025-09-07T06:38:50.7533990Z         >>> from torch.distributed.optim import DistributedOptimizer
2025-09-07T06:38:50.7534030Z         >>>
2025-09-07T06:38:50.7534120Z         >>> with dist_autograd.context() as context_id:
2025-09-07T06:38:50.7534170Z         >>>   # Forward pass.
2025-09-07T06:38:50.7534300Z         >>>   rref1 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 3))
2025-09-07T06:38:50.7534410Z         >>>   rref2 = rpc.remote("worker1", torch.add, args=(torch.ones(2), 1))
2025-09-07T06:38:50.7534490Z         >>>   loss = rref1.to_here() + rref2.to_here()
2025-09-07T06:38:50.7534530Z         >>>
2025-09-07T06:38:50.7534580Z         >>>   # Backward pass.
2025-09-07T06:38:50.7534680Z         >>>   dist_autograd.backward(context_id, [loss.sum()])
2025-09-07T06:38:50.7534720Z         >>>
2025-09-07T06:38:50.7534770Z         >>>   # Optimizer.
2025-09-07T06:38:50.7534840Z         >>>   dist_optim = DistributedOptimizer(
2025-09-07T06:38:50.7534890Z         >>>      optim.SGD,
2025-09-07T06:38:50.7534940Z         >>>      [rref1, rref2],
2025-09-07T06:38:50.7534990Z         >>>      lr=0.05,
2025-09-07T06:38:50.7535030Z         >>>   )
2025-09-07T06:38:50.7535090Z         >>>   dist_optim.step(context_id)
2025-09-07T06:38:50.7535160Z     
2025-09-07T06:38:50.7535250Z     __ https://github.com/pytorch/tutorials/pull/1465
2025-09-07T06:38:50.7535290Z     
2025-09-07T06:38:50.7535440Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7535480Z     
2025-09-07T06:38:50.7535530Z       warnings.warn(msg)
2025-09-07T06:38:50.7535590Z     
2025-09-07T06:38:50.7535700Z --- Parse Warning: 77 / 146 ---
2025-09-07T06:38:50.7536460Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZeroRedundancyOptimizer in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/optim/zero_redundancy_optimizer.py line=284.
2025-09-07T06:38:50.7536620Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7536660Z     
2025-09-07T06:38:50.7536910Z     Wrap an arbitrary :class:`optim.Optimizer <torch.optim.Optimizer>` and shards its states across ranks in the group.
2025-09-07T06:38:50.7536950Z     
2025-09-07T06:38:50.7537090Z     The sharing is done as described by `ZeRO <https://arxiv.org/abs/1910.02054>`_.
2025-09-07T06:38:50.7537130Z     
2025-09-07T06:38:50.7537220Z     The local optimizer instance in each rank is only
2025-09-07T06:38:50.7537370Z     responsible for updating approximately ``1 / world_size`` parameters and
2025-09-07T06:38:50.7537490Z     hence only needs to keep ``1 / world_size`` optimizer states. After
2025-09-07T06:38:50.7537640Z     parameters are updated locally, each rank will broadcast its parameters to
2025-09-07T06:38:50.7537750Z     all other peers to keep all model replicas in the same state.
2025-09-07T06:38:50.7537870Z     ``ZeroRedundancyOptimizer`` can be used in conjunction with
2025-09-07T06:38:50.7538050Z     :class:`torch.nn.parallel.DistributedDataParallel` to reduce per-rank peak
2025-09-07T06:38:50.7538100Z     memory consumption.
2025-09-07T06:38:50.7538140Z     
2025-09-07T06:38:50.7538300Z     ``ZeroRedundancyOptimizer`` uses a sorted-greedy algorithm to pack a number
2025-09-07T06:38:50.7538440Z     of parameters at each rank. Each parameter belongs to a single rank and is
2025-09-07T06:38:50.7538580Z     not divided among ranks. The partition is arbitrary and might not match the
2025-09-07T06:38:50.7538660Z     the parameter registration or usage order.
2025-09-07T06:38:50.7538700Z     
2025-09-07T06:38:50.7538740Z     Arguments:
2025-09-07T06:38:50.7538860Z         params (``Iterable``): an ``Iterable`` of :class:`torch.Tensor` s
2025-09-07T06:38:50.7539000Z             or :class:`dict` s giving all parameters, which will be sharded
2025-09-07T06:38:50.7539050Z             across ranks.
2025-09-07T06:38:50.7539090Z     
2025-09-07T06:38:50.7539130Z     Keyword Args:
2025-09-07T06:38:50.7539260Z         optimizer_class (:class:`torch.nn.Optimizer`): the class of the local
2025-09-07T06:38:50.7539310Z             optimizer.
2025-09-07T06:38:50.7539440Z         process_group (``ProcessGroup``, optional): ``torch.distributed``
2025-09-07T06:38:50.7539560Z             ``ProcessGroup`` (default: ``dist.group.WORLD`` initialized by
2025-09-07T06:38:50.7539650Z             :meth:`torch.distributed.init_process_group`).
2025-09-07T06:38:50.7539790Z         parameters_as_bucket_view (bool, optional): if ``True``, parameters are
2025-09-07T06:38:50.7539920Z             packed into buckets to speed up communication, and ``param.data``
2025-09-07T06:38:50.7540040Z             fields point to bucket views at different offsets; if ``False``,
2025-09-07T06:38:50.7540160Z             each individual parameter is communicated separately, and each
2025-09-07T06:38:50.7540260Z             ``params.data`` stays intact (default: ``False``).
2025-09-07T06:38:50.7540370Z         overlap_with_ddp (bool, optional): if ``True``, :meth:`step` is
2025-09-07T06:38:50.7540500Z             overlapped with :class:`DistributedDataParallel` 's gradient
2025-09-07T06:38:50.7540650Z             synchronization; this requires (1) either a functional optimizer
2025-09-07T06:38:50.7540760Z             for the ``optimizer_class`` argument or one with a functional
2025-09-07T06:38:50.7540860Z             equivalent and (2) registering a DDP communication hook
2025-09-07T06:38:50.7541000Z             constructed from one of the functions in ``ddp_zero_hook.py``;
2025-09-07T06:38:50.7541110Z             parameters are packed into buckets matching those in
2025-09-07T06:38:50.7541200Z             :class:`DistributedDataParallel`, meaning that the
2025-09-07T06:38:50.7541290Z             ``parameters_as_bucket_view`` argument is ignored.
2025-09-07T06:38:50.7541410Z             If ``False``, :meth:`step` runs disjointly after the backward pass
2025-09-07T06:38:50.7541460Z             (per normal).
2025-09-07T06:38:50.7541520Z             (default: ``False``)
2025-09-07T06:38:50.7541650Z         **defaults: any trailing arguments, which are forwarded to the local
2025-09-07T06:38:50.7541690Z             optimizer.
2025-09-07T06:38:50.7541730Z     
2025-09-07T06:38:50.7541780Z     Example::
2025-09-07T06:38:50.7541820Z     
2025-09-07T06:38:50.7541870Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7541930Z         >>> import torch.nn as nn
2025-09-07T06:38:50.7542050Z         >>> from torch.distributed.optim import ZeroRedundancyOptimizer
2025-09-07T06:38:50.7542170Z         >>> from torch.nn.parallel import DistributedDataParallel as DDP
2025-09-07T06:38:50.7542310Z         >>> model = nn.Sequential(*[nn.Linear(2000, 2000).to(rank) for _ in range(20)])
2025-09-07T06:38:50.7542380Z         >>> ddp = DDP(model, device_ids=[rank])
2025-09-07T06:38:50.7542450Z         >>> opt = ZeroRedundancyOptimizer(
2025-09-07T06:38:50.7542510Z         >>>     ddp.parameters(),
2025-09-07T06:38:50.7542580Z         >>>     optimizer_class=torch.optim.Adam,
2025-09-07T06:38:50.7542650Z         >>>     lr=0.01
2025-09-07T06:38:50.7542690Z         >>> )
2025-09-07T06:38:50.7542750Z         >>> ddp(inputs).sum().backward()
2025-09-07T06:38:50.7542800Z         >>> opt.step()
2025-09-07T06:38:50.7542830Z     
2025-09-07T06:38:50.7542880Z     .. warning::
2025-09-07T06:38:50.7543000Z         Currently, ``ZeroRedundancyOptimizer`` requires that all of the
2025-09-07T06:38:50.7543090Z         passed-in parameters are the same dense type.
2025-09-07T06:38:50.7543130Z     
2025-09-07T06:38:50.7543180Z     .. warning::
2025-09-07T06:38:50.7543300Z         If you pass ``overlap_with_ddp=True``, be wary of the following: Given
2025-09-07T06:38:50.7543440Z         the way that overlapping :class:`DistributedDataParallel` with
2025-09-07T06:38:50.7543590Z         :class:`ZeroRedundancyOptimizer` is currently implemented, the first
2025-09-07T06:38:50.7543720Z         two or three training iterations do not perform parameter updates in
2025-09-07T06:38:50.7543840Z         the optimizer step, depending on if ``static_graph=False`` or
2025-09-07T06:38:50.7543950Z         ``static_graph=True``, respectively. This is because it needs
2025-09-07T06:38:50.7544060Z         information about the gradient bucketing strategy used by
2025-09-07T06:38:50.7544190Z         :class:`DistributedDataParallel`, which is not finalized until the
2025-09-07T06:38:50.7544310Z         second forward pass if ``static_graph=False`` or until the third
2025-09-07T06:38:50.7544440Z         forward pass if ``static_graph=True``. To adjust for this, one option
2025-09-07T06:38:50.7544500Z         is to prepend dummy inputs.
2025-09-07T06:38:50.7544540Z     
2025-09-07T06:38:50.7544690Z     .. warning:: ZeroRedundancyOptimizer is experimental and subject to change.
2025-09-07T06:38:50.7544730Z     
2025-09-07T06:38:50.7544880Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7544920Z     
2025-09-07T06:38:50.7544970Z       warnings.warn(msg)
2025-09-07T06:38:50.7545010Z     
2025-09-07T06:38:50.7545110Z --- Parse Warning: 78 / 146 ---
2025-09-07T06:38:50.7545950Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.set_state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=634.
2025-09-07T06:38:50.7546120Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7546280Z     Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-09-07T06:38:50.7546320Z     
2025-09-07T06:38:50.7546470Z             Also takes (optional) configuration for the model's and optimizer's state dict.
2025-09-07T06:38:50.7546600Z             The target module does not have to be a FSDP module. If the target
2025-09-07T06:38:50.7546730Z             module is a FSDP module, its ``state_dict_type`` will also be changed.
2025-09-07T06:38:50.7546770Z     
2025-09-07T06:38:50.7546890Z             .. note:: This API should be called for only the top-level (root)
2025-09-07T06:38:50.7546940Z                 module.
2025-09-07T06:38:50.7546980Z     
2025-09-07T06:38:50.7547100Z             .. note:: This API enables users to transparently use the conventional
2025-09-07T06:38:50.7547220Z                 ``state_dict`` API to take model checkpoints in cases where the
2025-09-07T06:38:50.7547350Z                 root FSDP module is wrapped by another ``nn.Module``. For example,
2025-09-07T06:38:50.7547480Z                 the following will ensure ``state_dict`` is called on all non-FSDP
2025-09-07T06:38:50.7547620Z                 instances, while dispatching into `sharded_state_dict` implementation
2025-09-07T06:38:50.7547670Z                 for FSDP:
2025-09-07T06:38:50.7547710Z     
2025-09-07T06:38:50.7547760Z             Example::
2025-09-07T06:38:50.7547790Z     
2025-09-07T06:38:50.7547910Z                 >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:50.7547970Z                 >>> model = DDP(FSDP(...))
2025-09-07T06:38:50.7548030Z                 >>> FSDP.set_state_dict_type(
2025-09-07T06:38:50.7548080Z                 >>>     model,
2025-09-07T06:38:50.7548160Z                 >>>     StateDictType.SHARDED_STATE_DICT,
2025-09-07T06:38:50.7548290Z                 >>>     state_dict_config = ShardedStateDictConfig(offload_to_cpu=True),
2025-09-07T06:38:50.7548430Z                 >>>     optim_state_dict_config = OptimStateDictConfig(offload_to_cpu=True),
2025-09-07T06:38:50.7548480Z                 >>> )
2025-09-07T06:38:50.7548550Z                 >>> param_state_dict = model.state_dict()
2025-09-07T06:38:50.7548660Z                 >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-09-07T06:38:50.7548730Z     
2025-09-07T06:38:50.7548770Z             Args:
2025-09-07T06:38:50.7548850Z                 module (torch.nn.Module): Root module.
2025-09-07T06:38:50.7548990Z                 state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-09-07T06:38:50.7549130Z                 state_dict_config (Optional[StateDictConfig]): the configuration for the
2025-09-07T06:38:50.7549200Z                     target ``state_dict_type``.
2025-09-07T06:38:50.7549350Z                 optim_state_dict_config (Optional[OptimStateDictConfig]): the configuration
2025-09-07T06:38:50.7549420Z                     for the optimizer state dict.
2025-09-07T06:38:50.7549460Z     
2025-09-07T06:38:50.7549510Z             Returns:
2025-09-07T06:38:50.7549640Z                 A StateDictSettings that include the previous state_dict type and
2025-09-07T06:38:50.7549710Z                 configuration for the module.
2025-09-07T06:38:50.7549750Z             
2025-09-07T06:38:50.7549900Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7549940Z     
2025-09-07T06:38:50.7549990Z       warnings.warn(msg)
2025-09-07T06:38:50.7550030Z     
2025-09-07T06:38:50.7550130Z --- Parse Warning: 79 / 146 ---
2025-09-07T06:38:50.7550950Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.state_dict_type in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=792.
2025-09-07T06:38:50.7551140Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7551290Z     Set the ``state_dict_type`` of all the descendant FSDP modules of the target module.
2025-09-07T06:38:50.7551330Z     
2025-09-07T06:38:50.7551520Z             This context manager has the same functions as :meth:`set_state_dict_type`. Read the document of
2025-09-07T06:38:50.7551600Z             :meth:`set_state_dict_type` for the detail.
2025-09-07T06:38:50.7551640Z     
2025-09-07T06:38:50.7551690Z             Example::
2025-09-07T06:38:50.7551730Z     
2025-09-07T06:38:50.7551810Z                 >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:50.7551870Z                 >>> model = DDP(FSDP(...))
2025-09-07T06:38:50.7551940Z                 >>> with FSDP.state_dict_type(
2025-09-07T06:38:50.7551980Z                 >>>     model,
2025-09-07T06:38:50.7552060Z                 >>>     StateDictType.SHARDED_STATE_DICT,
2025-09-07T06:38:50.7552110Z                 >>> ):
2025-09-07T06:38:50.7552180Z                 >>>     checkpoint = model.state_dict()
2025-09-07T06:38:50.7552220Z     
2025-09-07T06:38:50.7552260Z             Args:
2025-09-07T06:38:50.7552340Z                 module (torch.nn.Module): Root module.
2025-09-07T06:38:50.7552480Z                 state_dict_type (StateDictType): the desired ``state_dict_type`` to set.
2025-09-07T06:38:50.7552620Z                 state_dict_config (Optional[StateDictConfig]): the model ``state_dict``
2025-09-07T06:38:50.7552740Z                     configuration for the target ``state_dict_type``.
2025-09-07T06:38:50.7552890Z                 optim_state_dict_config (Optional[OptimStateDictConfig]): the optimizer
2025-09-07T06:38:50.7553010Z                    ``state_dict`` configuration for the target ``state_dict_type``.
2025-09-07T06:38:50.7553050Z             
2025-09-07T06:38:50.7553200Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7553240Z     
2025-09-07T06:38:50.7553290Z       warnings.warn(msg)
2025-09-07T06:38:50.7553330Z     
2025-09-07T06:38:50.7553430Z --- Parse Warning: 80 / 146 ---
2025-09-07T06:38:50.7554240Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1805.
2025-09-07T06:38:50.7554440Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7554480Z     
2025-09-07T06:38:50.7554630Z     Transform the state-dict of an optimizer corresponding to a sharded model.
2025-09-07T06:38:50.7554670Z     
2025-09-07T06:38:50.7554780Z     The given state-dict can be transformed to one of three types:
2025-09-07T06:38:50.7554970Z     1) full optimizer state_dict, 2) sharded optimizer state_dict, 3) local optimizer state_dict.
2025-09-07T06:38:50.7555010Z     
2025-09-07T06:38:50.7555150Z     For full optimizer state_dict, all states are unflattened and not sharded.
2025-09-07T06:38:50.7555280Z     Rank0 only and CPU only can be specified via :meth:`state_dict_type` to
2025-09-07T06:38:50.7555320Z     avoid OOM.
2025-09-07T06:38:50.7555360Z     
2025-09-07T06:38:50.7555500Z     For sharded optimizer state_dict, all states are unflattened but sharded.
2025-09-07T06:38:50.7555620Z     CPU only can be specified via :meth:`state_dict_type` to further save
2025-09-07T06:38:50.7555670Z     memory.
2025-09-07T06:38:50.7555710Z     
2025-09-07T06:38:50.7555880Z     For local state_dict, no transformation will be performed. But a state
2025-09-07T06:38:50.7556030Z     will be converted from nn.Tensor to ShardedTensor to represent its sharding
2025-09-07T06:38:50.7556090Z     nature (this is not supported yet).
2025-09-07T06:38:50.7556130Z     
2025-09-07T06:38:50.7556170Z     Example::
2025-09-07T06:38:50.7556210Z     
2025-09-07T06:38:50.7556310Z         >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:50.7556460Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-09-07T06:38:50.7556550Z         >>> from torch.distributed.fsdp import StateDictType
2025-09-07T06:38:50.7556670Z         >>> from torch.distributed.fsdp import FullStateDictConfig
2025-09-07T06:38:50.7556790Z         >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-09-07T06:38:50.7556840Z         >>> # Save a checkpoint
2025-09-07T06:38:50.7556900Z         >>> model, optim = ...
2025-09-07T06:38:50.7556950Z         >>> FSDP.set_state_dict_type(
2025-09-07T06:38:50.7557000Z         >>>     model,
2025-09-07T06:38:50.7557070Z         >>>     StateDictType.FULL_STATE_DICT,
2025-09-07T06:38:50.7557150Z         >>>     FullStateDictConfig(rank0_only=False),
2025-09-07T06:38:50.7557240Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-09-07T06:38:50.7557280Z         >>> )
2025-09-07T06:38:50.7557340Z         >>> state_dict = model.state_dict()
2025-09-07T06:38:50.7557450Z         >>> optim_state_dict = FSDP.optim_state_dict(model, optim)
2025-09-07T06:38:50.7557530Z         >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-09-07T06:38:50.7557580Z         >>> # Load a checkpoint
2025-09-07T06:38:50.7557640Z         >>> model, optim = ...
2025-09-07T06:38:50.7557730Z         >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-09-07T06:38:50.7557790Z         >>> FSDP.set_state_dict_type(
2025-09-07T06:38:50.7557850Z         >>>     model,
2025-09-07T06:38:50.7557920Z         >>>     StateDictType.FULL_STATE_DICT,
2025-09-07T06:38:50.7558000Z         >>>     FullStateDictConfig(rank0_only=False),
2025-09-07T06:38:50.7558090Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-09-07T06:38:50.7558130Z         >>> )
2025-09-07T06:38:50.7558200Z         >>> model.load_state_dict(state_dict)
2025-09-07T06:38:50.7558290Z         >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-09-07T06:38:50.7561040Z         >>>     model, optim, optim_state_dict
2025-09-07T06:38:50.7561090Z         >>> )
2025-09-07T06:38:50.7561170Z         >>> optim.load_state_dict(optim_state_dict)
2025-09-07T06:38:50.7561210Z     
2025-09-07T06:38:50.7561250Z     Args:
2025-09-07T06:38:50.7561440Z         model (torch.nn.Module): Root module (which may or may not be a
2025-09-07T06:38:50.7561560Z             :class:`FullyShardedDataParallel` instance) whose parameters
2025-09-07T06:38:50.7561640Z             were passed into the optimizer ``optim``.
2025-09-07T06:38:50.7561750Z         optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-09-07T06:38:50.7561800Z             parameters.
2025-09-07T06:38:50.7561930Z         optim_state_dict (Dict[str, Any]): the target optimizer state_dict to
2025-09-07T06:38:50.7562060Z             transform. If the value is None, optim.state_dict() will be used. (
2025-09-07T06:38:50.7562110Z             Default: ``None``)
2025-09-07T06:38:50.7562260Z         group (dist.ProcessGroup): Model's process group across which parameters
2025-09-07T06:38:50.7562370Z             are sharded or ``None`` if using the default process group. (
2025-09-07T06:38:50.7562420Z             Default: ``None``)
2025-09-07T06:38:50.7562460Z     
2025-09-07T06:38:50.7562510Z     Returns:
2025-09-07T06:38:50.7562620Z         Dict[str, Any]: A :class:`dict` containing the optimizer state for
2025-09-07T06:38:50.7562730Z         ``model``. The sharding of the optimizer state is based on
2025-09-07T06:38:50.7562780Z         ``state_dict_type``.
2025-09-07T06:38:50.7562820Z     
2025-09-07T06:38:50.7562970Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7563030Z     
2025-09-07T06:38:50.7563080Z       warnings.warn(msg)
2025-09-07T06:38:50.7563120Z     
2025-09-07T06:38:50.7563230Z --- Parse Warning: 81 / 146 ---
2025-09-07T06:38:50.7564080Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullyShardedDataParallel.optim_state_dict_to_load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/fsdp/fully_sharded_data_parallel.py line=1903.
2025-09-07T06:38:50.7564240Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7564280Z     
2025-09-07T06:38:50.7564500Z     Convert an optimizer state-dict so that it can be loaded into the optimizer associated with the FSDP model.
2025-09-07T06:38:50.7564540Z     
2025-09-07T06:38:50.7564650Z     Given a ``optim_state_dict`` that is transformed through
2025-09-07T06:38:50.7564780Z     :meth:`optim_state_dict`, it gets converted to the flattened optimizer
2025-09-07T06:38:50.7564910Z     state_dict that can be loaded to ``optim`` which is the optimizer for
2025-09-07T06:38:50.7565020Z     ``model``. ``model`` must be sharded by FullyShardedDataParallel.
2025-09-07T06:38:50.7565060Z     
2025-09-07T06:38:50.7565140Z         >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:50.7565290Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-09-07T06:38:50.7565380Z         >>> from torch.distributed.fsdp import StateDictType
2025-09-07T06:38:50.7565490Z         >>> from torch.distributed.fsdp import FullStateDictConfig
2025-09-07T06:38:50.7565620Z         >>> from torch.distributed.fsdp import FullOptimStateDictConfig
2025-09-07T06:38:50.7565670Z         >>> # Save a checkpoint
2025-09-07T06:38:50.7565760Z         >>> model, optim = ...
2025-09-07T06:38:50.7565820Z         >>> FSDP.set_state_dict_type(
2025-09-07T06:38:50.7565870Z         >>>     model,
2025-09-07T06:38:50.7565940Z         >>>     StateDictType.FULL_STATE_DICT,
2025-09-07T06:38:50.7566020Z         >>>     FullStateDictConfig(rank0_only=False),
2025-09-07T06:38:50.7566100Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-09-07T06:38:50.7566150Z         >>> )
2025-09-07T06:38:50.7566210Z         >>> state_dict = model.state_dict()
2025-09-07T06:38:50.7566280Z         >>> original_osd = optim.state_dict()
2025-09-07T06:38:50.7566360Z         >>> optim_state_dict = FSDP.optim_state_dict(
2025-09-07T06:38:50.7566400Z         >>>     model,
2025-09-07T06:38:50.7566460Z         >>>     optim,
2025-09-07T06:38:50.7566530Z         >>>     optim_state_dict=original_osd
2025-09-07T06:38:50.7566570Z         >>> )
2025-09-07T06:38:50.7566660Z         >>> save_a_checkpoint(state_dict, optim_state_dict)
2025-09-07T06:38:50.7566710Z         >>> # Load a checkpoint
2025-09-07T06:38:50.7566760Z         >>> model, optim = ...
2025-09-07T06:38:50.7566860Z         >>> state_dict, optim_state_dict = load_a_checkpoint()
2025-09-07T06:38:50.7566920Z         >>> FSDP.set_state_dict_type(
2025-09-07T06:38:50.7566960Z         >>>     model,
2025-09-07T06:38:50.7567030Z         >>>     StateDictType.FULL_STATE_DICT,
2025-09-07T06:38:50.7567110Z         >>>     FullStateDictConfig(rank0_only=False),
2025-09-07T06:38:50.7567190Z         >>>     FullOptimStateDictConfig(rank0_only=False),
2025-09-07T06:38:50.7567230Z         >>> )
2025-09-07T06:38:50.7567300Z         >>> model.load_state_dict(state_dict)
2025-09-07T06:38:50.7567390Z         >>> optim_state_dict = FSDP.optim_state_dict_to_load(
2025-09-07T06:38:50.7567460Z         >>>     model, optim, optim_state_dict
2025-09-07T06:38:50.7567500Z         >>> )
2025-09-07T06:38:50.7567580Z         >>> optim.load_state_dict(optim_state_dict)
2025-09-07T06:38:50.7567610Z     
2025-09-07T06:38:50.7567660Z     Args:
2025-09-07T06:38:50.7567770Z         model (torch.nn.Module): Root module (which may or may not be a
2025-09-07T06:38:50.7567920Z             :class:`FullyShardedDataParallel` instance) whose parameters
2025-09-07T06:38:50.7568000Z             were passed into the optimizer ``optim``.
2025-09-07T06:38:50.7568110Z         optim (torch.optim.Optimizer): Optimizer for ``model`` 's
2025-09-07T06:38:50.7568160Z             parameters.
2025-09-07T06:38:50.7568310Z         optim_state_dict (Dict[str, Any]): The optimizer states to be loaded.
2025-09-07T06:38:50.7568430Z         is_named_optimizer (bool): Is this optimizer a NamedOptimizer or
2025-09-07T06:38:50.7568550Z             KeyedOptimizer. Only set to True if ``optim`` is TorchRec's
2025-09-07T06:38:50.7568650Z             KeyedOptimizer or torch.distributed's NamedOptimizer.
2025-09-07T06:38:50.7568770Z         load_directly (bool): If this is set to True, this API will also
2025-09-07T06:38:50.7568890Z             call optim.load_state_dict(result) before returning the result.
2025-09-07T06:38:50.7569020Z             Otherwise, users are responsible to call ``optim.load_state_dict()``
2025-09-07T06:38:50.7569080Z             (Default: ``False``)
2025-09-07T06:38:50.7569220Z         group (dist.ProcessGroup): Model's process group across which parameters
2025-09-07T06:38:50.7569330Z             are sharded or ``None`` if using the default process group. (
2025-09-07T06:38:50.7569390Z             Default: ``None``)
2025-09-07T06:38:50.7569430Z     
2025-09-07T06:38:50.7569580Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7569620Z     
2025-09-07T06:38:50.7569670Z       warnings.warn(msg)
2025-09-07T06:38:50.7569710Z     
2025-09-07T06:38:50.7569810Z --- Parse Warning: 82 / 146 ---
2025-09-07T06:38:50.7570510Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixedPrecision in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=114.
2025-09-07T06:38:50.7570670Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7570710Z     
2025-09-07T06:38:50.7570810Z     This configures FSDP-native mixed precision training.
2025-09-07T06:38:50.7570850Z     
2025-09-07T06:38:50.7570900Z     Attributes:
2025-09-07T06:38:50.7571040Z         param_dtype (Optional[torch.dtype]): This specifies the dtype for model
2025-09-07T06:38:50.7571160Z             parameters during forward and backward and thus the dtype for
2025-09-07T06:38:50.7571290Z             forward and backward computation. Outside forward and backward, the
2025-09-07T06:38:50.7571470Z             *sharded* parameters are kept in full precision (e.g. for the
2025-09-07T06:38:50.7571600Z             optimizer step), and for model checkpointing, the parameters are
2025-09-07T06:38:50.7571700Z             always saved in full precision. (Default: ``None``)
2025-09-07T06:38:50.7571830Z         reduce_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-09-07T06:38:50.7571960Z             gradient reduction (i.e. reduce-scatter or all-reduce). If this is
2025-09-07T06:38:50.7572070Z             ``None`` but ``param_dtype`` is not ``None``, then this takes on
2025-09-07T06:38:50.7572190Z             the ``param_dtype`` value, still running gradient reduction in low
2025-09-07T06:38:50.7572320Z             precision. This is permitted to differ from ``param_dtype``, e.g.
2025-09-07T06:38:50.7572440Z             to force gradient reduction to run in full precision. (Default:
2025-09-07T06:38:50.7572480Z             ``None``)
2025-09-07T06:38:50.7572610Z         buffer_dtype (Optional[torch.dtype]): This specifies the dtype for
2025-09-07T06:38:50.7572730Z             buffers. FSDP does not shard buffers. Rather, FSDP casts them to
2025-09-07T06:38:50.7572860Z             ``buffer_dtype`` in the first forward pass and keeps them in that
2025-09-07T06:38:50.7572980Z             dtype thereafter. For model checkpointing, the buffers are saved
2025-09-07T06:38:50.7573110Z             in full precision except for ``LOCAL_STATE_DICT``. (Default:
2025-09-07T06:38:50.7573150Z             ``None``)
2025-09-07T06:38:50.7573270Z         keep_low_precision_grads (bool): If ``False``, then FSDP upcasts
2025-09-07T06:38:50.7573400Z             gradients to full precision after the backward pass in preparation
2025-09-07T06:38:50.7573580Z             for the optimizer step. If ``True``, then FSDP keeps the gradients
2025-09-07T06:38:50.7573700Z             in the dtype used for gradient reduction, which can save memory if
2025-09-07T06:38:50.7573820Z             using a custom optimizer that supports running in low precision.
2025-09-07T06:38:50.7573880Z             (Default: ``False``)
2025-09-07T06:38:50.7574010Z         cast_forward_inputs (bool): If ``True``, then this FSDP module casts
2025-09-07T06:38:50.7574140Z             its forward args and kwargs to ``param_dtype``. This is to ensure
2025-09-07T06:38:50.7574270Z             that parameter and input dtypes match for forward computation, as
2025-09-07T06:38:50.7574390Z             required by many ops. This may need to be set to ``True`` when only
2025-09-07T06:38:50.7574520Z             applying mixed precision to some but not all FSDP modules, in which
2025-09-07T06:38:50.7574650Z             case a mixed-precision FSDP submodule needs to recast its inputs.
2025-09-07T06:38:50.7574700Z             (Default: ``False``)
2025-09-07T06:38:50.7574840Z         cast_root_forward_inputs (bool): If ``True``, then the root FSDP module
2025-09-07T06:38:50.7574960Z             casts its forward args and kwargs to ``param_dtype``, overriding
2025-09-07T06:38:50.7575070Z             the value of ``cast_forward_inputs``. For non-root FSDP modules,
2025-09-07T06:38:50.7575160Z             this does not do anything. (Default: ``True``)
2025-09-07T06:38:50.7575310Z         _module_classes_to_ignore: (Sequence[Type[nn.Module]]): This specifies
2025-09-07T06:38:50.7575430Z             module classes to ignore for mixed precision when using an
2025-09-07T06:38:50.7575540Z             ``auto_wrap_policy``: Modules of these classes will have FSDP
2025-09-07T06:38:50.7575660Z             applied to them separately with mixed precision disabled (meaning
2025-09-07T06:38:50.7575790Z             that the final FSDP construction would deviate from the specified
2025-09-07T06:38:50.7575900Z             policy). If ``auto_wrap_policy`` is not specified, then this does
2025-09-07T06:38:50.7576030Z             not do anything. This API is experimental and subject to change.
2025-09-07T06:38:50.7576090Z             (Default: ``(_BatchNorm,)``)
2025-09-07T06:38:50.7576150Z     
2025-09-07T06:38:50.7576260Z     .. note:: This API is experimental and subject to change.
2025-09-07T06:38:50.7576290Z     
2025-09-07T06:38:50.7576430Z     .. note:: Only floating point tensors are cast to their specified dtypes.
2025-09-07T06:38:50.7576470Z     
2025-09-07T06:38:50.7576580Z     .. note:: In ``summon_full_params``, parameters are forced to full
2025-09-07T06:38:50.7576640Z         precision, but buffers are not.
2025-09-07T06:38:50.7576680Z     
2025-09-07T06:38:50.7576810Z     .. note:: Layer norm and batch norm accumulate in ``float32`` even when
2025-09-07T06:38:50.7576930Z         their inputs are in a low precision like ``float16`` or ``bfloat16``.
2025-09-07T06:38:50.7577070Z         Disabling FSDP's mixed precision for those norm modules only means that
2025-09-07T06:38:50.7577200Z         the affine parameters are kept in ``float32``. However, this incurs
2025-09-07T06:38:50.7577340Z         separate all-gathers and reduce-scatters for those norm modules, which
2025-09-07T06:38:50.7577480Z         may be inefficient, so if the workload permits, the user should prefer
2025-09-07T06:38:50.7577560Z         to still apply mixed precision to those modules.
2025-09-07T06:38:50.7577600Z     
2025-09-07T06:38:50.7577730Z     .. note:: By default, if the user passes a model with any ``_BatchNorm``
2025-09-07T06:38:50.7577900Z         modules and specifies an ``auto_wrap_policy``, then the batch norm
2025-09-07T06:38:50.7578030Z         modules will have FSDP applied to them separately with mixed precision
2025-09-07T06:38:50.7578140Z         disabled. See the ``_module_classes_to_ignore`` argument.
2025-09-07T06:38:50.7578180Z     
2025-09-07T06:38:50.7578320Z     .. note:: ``MixedPrecision`` has ``cast_root_forward_inputs=True`` and
2025-09-07T06:38:50.7578460Z         ``cast_forward_inputs=False`` by default. For the root FSDP instance,
2025-09-07T06:38:50.7578560Z         its ``cast_root_forward_inputs`` takes precedence over its
2025-09-07T06:38:50.7578670Z         ``cast_forward_inputs``. For non-root FSDP instances, their
2025-09-07T06:38:50.7578800Z         ``cast_root_forward_inputs`` values are ignored. The default setting is
2025-09-07T06:38:50.7578930Z         sufficient for the typical case where each FSDP instance has the same
2025-09-07T06:38:50.7579070Z         ``MixedPrecision`` configuration and only needs to cast inputs to the
2025-09-07T06:38:50.7579180Z         ``param_dtype`` at the beginning of the model's forward pass.
2025-09-07T06:38:50.7579220Z     
2025-09-07T06:38:50.7579350Z     .. note:: For nested FSDP instances with different ``MixedPrecision``
2025-09-07T06:38:50.7579490Z         configurations, we recommend setting individual ``cast_forward_inputs``
2025-09-07T06:38:50.7579610Z         values to configure casting inputs or not before each instance's
2025-09-07T06:38:50.7579730Z         forward. In such a case, since the casts happen before each FSDP
2025-09-07T06:38:50.7579860Z         instance's forward, a parent FSDP instance should have its non-FSDP
2025-09-07T06:38:50.7580000Z         submodules run before its FSDP submodules to avoid the activation dtype
2025-09-07T06:38:50.7580120Z         being changed due to a different ``MixedPrecision`` configuration.
2025-09-07T06:38:50.7580160Z     
2025-09-07T06:38:50.7580230Z         Example::
2025-09-07T06:38:50.7580270Z     
2025-09-07T06:38:50.7580350Z             >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:50.7580460Z             >>> model = nn.Sequential(nn.Linear(3, 3), nn.Linear(3, 3))
2025-09-07T06:38:50.7580510Z             >>> model[1] = FSDP(
2025-09-07T06:38:50.7580570Z             >>>     model[1],
2025-09-07T06:38:50.7580750Z             >>>     mixed_precision=MixedPrecision(param_dtype=torch.float16, cast_forward_inputs=True),
2025-09-07T06:38:50.7580800Z             >>> )
2025-09-07T06:38:50.7580850Z             >>> model = FSDP(
2025-09-07T06:38:50.7580900Z             >>>     model,
2025-09-07T06:38:50.7581080Z             >>>     mixed_precision=MixedPrecision(param_dtype=torch.bfloat16, cast_forward_inputs=True),
2025-09-07T06:38:50.7581140Z             >>> )
2025-09-07T06:38:50.7581180Z     
2025-09-07T06:38:50.7581310Z         The above shows a working example. On the other hand, if ``model[1]``
2025-09-07T06:38:50.7581430Z         were replaced with ``model[0]``, meaning that the submodule using
2025-09-07T06:38:50.7581570Z         different ``MixedPrecision`` ran its forward first, then ``model[1]``
2025-09-07T06:38:50.7581700Z         would incorrectly see ``float16`` activations instead of ``bfloat16``
2025-09-07T06:38:50.7581740Z         ones.
2025-09-07T06:38:50.7581780Z     
2025-09-07T06:38:50.7581820Z     
2025-09-07T06:38:50.7581970Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7582010Z     
2025-09-07T06:38:50.7582060Z       warnings.warn(msg)
2025-09-07T06:38:50.7582100Z     
2025-09-07T06:38:50.7582200Z --- Parse Warning: 83 / 146 ---
2025-09-07T06:38:50.7582890Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FullStateDictConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/fsdp/api.py line=295.
2025-09-07T06:38:50.7583050Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7583110Z     
2025-09-07T06:38:50.7583240Z     ``FullStateDictConfig`` is a config class meant to be used with
2025-09-07T06:38:50.7583360Z     ``StateDictType.FULL_STATE_DICT``. We recommend enabling both
2025-09-07T06:38:50.7583480Z     ``offload_to_cpu=True`` and ``rank0_only=True`` when saving full state
2025-09-07T06:38:50.7583630Z     dicts to save GPU memory and CPU memory, respectively. This config class
2025-09-07T06:38:50.7583760Z     is meant to be used via the :func:`state_dict_type` context manager as
2025-09-07T06:38:50.7583800Z     follows:
2025-09-07T06:38:50.7583840Z     
2025-09-07T06:38:50.7583920Z         >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:50.7584060Z         >>> from torch.distributed.fsdp import FullyShardedDataParallel as FSDP
2025-09-07T06:38:50.7584140Z         >>> fsdp = FSDP(model, auto_wrap_policy=...)
2025-09-07T06:38:50.7584270Z         >>> cfg = FullStateDictConfig(offload_to_cpu=True, rank0_only=True)
2025-09-07T06:38:50.7584400Z         >>> with FSDP.state_dict_type(fsdp, StateDictType.FULL_STATE_DICT, cfg):
2025-09-07T06:38:50.7584460Z         >>>     state = fsdp.state_dict()
2025-09-07T06:38:50.7584590Z         >>> # `state` will be empty on non rank 0 and contain CPU tensors on rank 0.
2025-09-07T06:38:50.7584730Z         >>> # To reload checkpoint for inference, finetuning, transfer learning, etc:
2025-09-07T06:38:50.7584880Z         >>> model = model_fn()  # Initialize model in preparation for wrapping with FSDP
2025-09-07T06:38:50.7584930Z         >>> if dist.get_rank() == 0:
2025-09-07T06:38:50.7585050Z         >>> # Load checkpoint only on rank 0 to avoid memory redundancy
2025-09-07T06:38:50.7585140Z         >>>     state_dict = torch.load("my_checkpoint.pt")
2025-09-07T06:38:50.7585210Z         >>>     model.load_state_dict(state_dict)
2025-09-07T06:38:50.7585370Z         >>> # All ranks initialize FSDP module as usual. `sync_module_states` argument
2025-09-07T06:38:50.7585510Z         >>> # communicates loaded checkpoint states from rank 0 to rest of the world.
2025-09-07T06:38:50.7585570Z         >>> fsdp = FSDP(
2025-09-07T06:38:50.7585610Z         ...     model,
2025-09-07T06:38:50.7585690Z         ...     device_id=torch.cuda.current_device(),
2025-09-07T06:38:50.7585750Z         ...     auto_wrap_policy=...,
2025-09-07T06:38:50.7585810Z         ...     sync_module_states=True,
2025-09-07T06:38:50.7585850Z         ... )
2025-09-07T06:38:50.7585980Z         >>> # After this point, all ranks have FSDP model with loaded checkpoint.
2025-09-07T06:38:50.7586020Z     
2025-09-07T06:38:50.7586060Z     Attributes:
2025-09-07T06:38:50.7586200Z         rank0_only (bool): If ``True``, then only rank 0 saves the full state
2025-09-07T06:38:50.7586320Z             dict, and nonzero ranks save an empty dict. If ``False``, then all
2025-09-07T06:38:50.7586420Z             ranks save the full state dict. (Default: ``False``)
2025-09-07T06:38:50.7586460Z     
2025-09-07T06:38:50.7586610Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7586650Z     
2025-09-07T06:38:50.7586700Z       warnings.warn(msg)
2025-09-07T06:38:50.7586740Z     
2025-09-07T06:38:50.7586840Z --- Parse Warning: 84 / 146 ---
2025-09-07T06:38:50.7587570Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=init_from_local_shards in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/__init__.py line=361.
2025-09-07T06:38:50.7587730Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7587770Z     
2025-09-07T06:38:50.7587910Z     Creates an :class:`ShardedTensor` from local shards and the global metadata.
2025-09-07T06:38:50.7588000Z     Needs to be called on all ranks in an SPMD fashion.
2025-09-07T06:38:50.7588040Z     
2025-09-07T06:38:50.7588100Z     Args:
2025-09-07T06:38:50.7588270Z         local_shards (List[:class `torch.distributed._shard.sharded_tensor.Shard`]): A list
2025-09-07T06:38:50.7588370Z             of shards that represent the local shards on this rank.
2025-09-07T06:38:50.7588510Z         global_size (int...):  a list, tuple, or `torch.Size` of integers defining the
2025-09-07T06:38:50.7588600Z             shape of the overall sharded tensor.
2025-09-07T06:38:50.7588640Z     
2025-09-07T06:38:50.7588680Z     Keyword args:
2025-09-07T06:38:50.7588840Z         process_group (ProcessGroup, optional): The process group to work on. If None,
2025-09-07T06:38:50.7588920Z             the default process group will be used.
2025-09-07T06:38:50.7589030Z         init_rrefs (bool, optional): Whether or not to initialize
2025-09-07T06:38:50.7589150Z             :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-09-07T06:38:50.7589270Z             Need to initialize the RPC Framework if specified as ``True``.
2025-09-07T06:38:50.7589320Z             Default: ``False``.
2025-09-07T06:38:50.7589360Z     
2025-09-07T06:38:50.7589410Z     Returns:
2025-09-07T06:38:50.7589500Z         A :class:`ShardedTensor` object handle on this rank
2025-09-07T06:38:50.7589540Z     
2025-09-07T06:38:50.7589570Z     
2025-09-07T06:38:50.7589620Z     Examples:
2025-09-07T06:38:50.7589770Z         Suppose we want construct a sharded tensor on two ranks, global size = (10, 5),
2025-09-07T06:38:50.7589880Z         each shard have a (5, 5) local tensor, we can do it like below:
2025-09-07T06:38:50.7589920Z     
2025-09-07T06:38:50.7589970Z         on rank 0:
2025-09-07T06:38:50.7590040Z         >>> # xdoctest: +SKIP("not distributed")
2025-09-07T06:38:50.7590110Z         >>> local_shard_metadata = ShardMetadata(
2025-09-07T06:38:50.7590170Z         >>>     shard_offsets=[0, 0],
2025-09-07T06:38:50.7590220Z         >>>     shard_lengths=[5, 5],
2025-09-07T06:38:50.7590340Z         >>>     placement="rank:0/cuda:0"
2025-09-07T06:38:50.7590380Z         >>> )
2025-09-07T06:38:50.7590510Z         >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-09-07T06:38:50.7590620Z         >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-09-07T06:38:50.7590660Z     
2025-09-07T06:38:50.7590700Z         on rank 1:
2025-09-07T06:38:50.7590780Z         >>> # xdoctest: +SKIP("not distributed")
2025-09-07T06:38:50.7590850Z         >>> local_shard_metadata = ShardMetadata(
2025-09-07T06:38:50.7590900Z         >>>     shard_offsets=[5, 0],
2025-09-07T06:38:50.7590960Z         >>>     shard_lengths=[5, 5],
2025-09-07T06:38:50.7591020Z         >>>     placement="rank:1/cuda:1"
2025-09-07T06:38:50.7591090Z         >>> )
2025-09-07T06:38:50.7591210Z         >>> local_shards = [Shard(torch.randn(5, 5), local_shard_metadata)]
2025-09-07T06:38:50.7591330Z         >>> sharded_tensor = init_from_local_shards(local_shards, [10, 5])
2025-09-07T06:38:50.7591360Z     
2025-09-07T06:38:50.7591510Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7591560Z     
2025-09-07T06:38:50.7591610Z       warnings.warn(msg)
2025-09-07T06:38:50.7591650Z     
2025-09-07T06:38:50.7591750Z --- Parse Warning: 85 / 146 ---
2025-09-07T06:38:50.7592510Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor._init_from_local_tensor in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=835.
2025-09-07T06:38:50.7592660Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7592700Z     
2025-09-07T06:38:50.7592860Z     Initialize a ShardedTensor given only one local tensor, global sharded tensor
2025-09-07T06:38:50.7592920Z     size and sharding spec on each rank.
2025-09-07T06:38:50.7592960Z     
2025-09-07T06:38:50.7593000Z     Args:
2025-09-07T06:38:50.7593160Z         local_tensor (Tensor): Single tensor of local shard stored in each rank.
2025-09-07T06:38:50.7593320Z         sharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`):
2025-09-07T06:38:50.7593420Z             The specification describing how to shard the Tensor.
2025-09-07T06:38:50.7593520Z         global_size (Sequence[int]): Size of the sharded tensor.
2025-09-07T06:38:50.7593700Z         process_group (ProcessGroup, optional): The process group to aggregate on.
2025-09-07T06:38:50.7593750Z             Default: None
2025-09-07T06:38:50.7593860Z         init_rrefs (bool, optional): Whether or not to initialize
2025-09-07T06:38:50.7593990Z             :class:`torch.distributed.rpc.RRef`s pointing to remote shards.
2025-09-07T06:38:50.7594100Z             Need to initialize the RPC Framework if specified as ``True``.
2025-09-07T06:38:50.7594160Z             Default: ``False``.
2025-09-07T06:38:50.7594200Z     
2025-09-07T06:38:50.7594240Z     Returns:
2025-09-07T06:38:50.7594390Z         A :class:`ShardedTensor` sharded based on the given sharding_spec with local
2025-09-07T06:38:50.7594460Z             tensor stored in the current rank.
2025-09-07T06:38:50.7594500Z     
2025-09-07T06:38:50.7594540Z     Examples:
2025-09-07T06:38:50.7594600Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7594680Z         >>> # All tensors below are of torch.int64 type.
2025-09-07T06:38:50.7594750Z         >>> # We have 2 process groups, 2 ranks.
2025-09-07T06:38:50.7594860Z         >>> tensor = torch.arange(2, dtype=torch.int64) + 1 + 2 * rank
2025-09-07T06:38:50.7594980Z         >>> local_tensor = torch.unsqueeze(torch.cat([tensor, tensor + 2]))
2025-09-07T06:38:50.7595030Z         >>> local_tensor
2025-09-07T06:38:50.7595090Z         tensor([[1, 2, 3, 4]]) # Rank 0
2025-09-07T06:38:50.7595140Z         tensor([[3, 4, 5, 6]]) # Rank 1
2025-09-07T06:38:50.7595200Z         >>> sharding_dim = 0
2025-09-07T06:38:50.7595290Z         >>> sharding_spec = ChunkShardingSpec(
2025-09-07T06:38:50.7595350Z                 dim=sharding_dim,
2025-09-07T06:38:50.7595400Z                 placements=[
2025-09-07T06:38:50.7595460Z                     "rank:0/cuda:0",
2025-09-07T06:38:50.7595510Z                     "rank:1/cuda:1",
2025-09-07T06:38:50.7595550Z                 ],
2025-09-07T06:38:50.7595590Z             )
2025-09-07T06:38:50.7595670Z         >>> st = ShardedTensor._init_from_local_tensor(
2025-09-07T06:38:50.7595750Z         ...     local_tensor, sharding_spec, [2, 4]
2025-09-07T06:38:50.7595790Z         ... )
2025-09-07T06:38:50.7595830Z         >>> st
2025-09-07T06:38:50.7595880Z         ShardedTensor(
2025-09-07T06:38:50.7595940Z             ShardedTensorMetadata(
2025-09-07T06:38:50.7596010Z                 shards_metadata=[
2025-09-07T06:38:50.7596180Z                     ShardMetadata(shard_offsets=[0, 0], shard_sizes=[1, 4], placement=rank:0/cuda:0),
2025-09-07T06:38:50.7596340Z                     ShardMetadata(shard_offsets=[1, 0], shard_sizes=[1, 4], placement=rank:1/cuda:1),
2025-09-07T06:38:50.7596380Z                 ],
2025-09-07T06:38:50.7596440Z                 size=torch.Size([2, 4])
2025-09-07T06:38:50.7596480Z         )
2025-09-07T06:38:50.7596530Z         >>> st.local_tensor()
2025-09-07T06:38:50.7596580Z         tensor([1, 2, 3, 4]) # Rank 0
2025-09-07T06:38:50.7596640Z         tensor([3, 4, 5, 6]) # Rank 1
2025-09-07T06:38:50.7596680Z     
2025-09-07T06:38:50.7596840Z     Warning: This API is experimental and subject to change. It lacks of a fully across
2025-09-07T06:38:50.7596990Z              rank validations, and we only validate the local shard on the current rank.
2025-09-07T06:38:50.7597120Z              We fully rely on the user to ensure local tensor is sharded based on the
2025-09-07T06:38:50.7597170Z              sharding spec.
2025-09-07T06:38:50.7597210Z     
2025-09-07T06:38:50.7597360Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7597400Z     
2025-09-07T06:38:50.7597450Z       warnings.warn(msg)
2025-09-07T06:38:50.7597520Z     
2025-09-07T06:38:50.7597620Z --- Parse Warning: 86 / 146 ---
2025-09-07T06:38:50.7598380Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardedTensor.reshard in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/_shard/sharded_tensor/api.py line=1076.
2025-09-07T06:38:50.7598540Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7598580Z     
2025-09-07T06:38:50.7598730Z     Reshard a sharded tensor given the ``resharding_spec``. For now, we only support
2025-09-07T06:38:50.7598780Z     single local shard.
2025-09-07T06:38:50.7598820Z     
2025-09-07T06:38:50.7598960Z     If ``resharding_spec`` is same as the original one, this becomes a no-op.
2025-09-07T06:38:50.7599110Z     If only ``resharding_spec`` shares the same sharding dim with the original one,
2025-09-07T06:38:50.7599170Z     we swap local shards directly.
2025-09-07T06:38:50.7599320Z     For more generic cases, we merge different shards across different ranks and split
2025-09-07T06:38:50.7599470Z     the local shards based on the ``resharding_spec`` via `all_to_all` collective API.
2025-09-07T06:38:50.7599510Z     
2025-09-07T06:38:50.7599550Z     Args:
2025-09-07T06:38:50.7599730Z         resharding_spec (:class:`torch.distributed._shard.sharding_spec.ShardingSpec`): The
2025-09-07T06:38:50.7599830Z             specification describing how the tensor is sharded.
2025-09-07T06:38:50.7599870Z     
2025-09-07T06:38:50.7599910Z     Returns:
2025-09-07T06:38:50.7600030Z         A :class:`ShardedTensor` object whose local shards are resharded.
2025-09-07T06:38:50.7600070Z     
2025-09-07T06:38:50.7600110Z     Examples:
2025-09-07T06:38:50.7600170Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7600260Z         >>> # We have 2 process groups, 2 ranks.
2025-09-07T06:38:50.7600370Z         >>> tensor = torch.arange(4, dtype=torch.int64) + 1 + 2 * rank
2025-09-07T06:38:50.7600440Z         >>> tensor = torch.stack([tensor, tensor])
2025-09-07T06:38:50.7600490Z         >>> tensor
2025-09-07T06:38:50.7600560Z         tensor([[1, 2, 3, 4], [1, 2, 3, 4]]) # Rank 0
2025-09-07T06:38:50.7600630Z         tensor([[3, 4, 5, 6], [3, 4, 5, 6]]) # Rank 1
2025-09-07T06:38:50.7600700Z         tensor([[5, 6, 7, 8], [5, 6, 7, 8]]) # Rank 2
2025-09-07T06:38:50.7600780Z         tensor([[7, 8, 9, 10], [7, 8, 9, 10]]) # Rank 3
2025-09-07T06:38:50.7600830Z         >>> sharding_dim = 0
2025-09-07T06:38:50.7600890Z         >>> spec = ChunkShardingSpec(
2025-09-07T06:38:50.7600940Z                 dim=sharding_dim,
2025-09-07T06:38:50.7601020Z                 placements=[
2025-09-07T06:38:50.7601070Z                     "rank:0/cuda:0",
2025-09-07T06:38:50.7601120Z                     "rank:1/cuda:1",
2025-09-07T06:38:50.7601170Z                     "rank:2/cuda:2",
2025-09-07T06:38:50.7601220Z                     "rank:3/cuda:3",
2025-09-07T06:38:50.7601260Z                 ],
2025-09-07T06:38:50.7601300Z             )
2025-09-07T06:38:50.7601360Z         >>> current_offsets = [0] * 2
2025-09-07T06:38:50.7601420Z         >>> current_offsets[0] = rank * 2
2025-09-07T06:38:50.7601490Z         >>> shard_metadata = ShardMetadata(
2025-09-07T06:38:50.7601580Z                 shard_offsets=copy.deepcopy(current_offsets),
2025-09-07T06:38:50.7601640Z                 shard_sizes=tensor.size(),
2025-09-07T06:38:50.7601710Z                 placement=spec.placements[rank],
2025-09-07T06:38:50.7601750Z             )
2025-09-07T06:38:50.7601800Z         >>> local_shards = [
2025-09-07T06:38:50.7601850Z                 Shard(
2025-09-07T06:38:50.7601900Z                     tensor=tensor,
2025-09-07T06:38:50.7601960Z                     metadata=shard_metadata,
2025-09-07T06:38:50.7602010Z                 )
2025-09-07T06:38:50.7602050Z             ]
2025-09-07T06:38:50.7602240Z         >>> st = ShardedTensor._init_from_local_shards(local_shards, tensor.size())
2025-09-07T06:38:50.7602320Z         >>> sharding_dim = 1
2025-09-07T06:38:50.7602400Z         >>> resharding_spec = ChunkShardingSpec(
2025-09-07T06:38:50.7602450Z                 dim=sharding_dim,
2025-09-07T06:38:50.7602500Z                 placements=[
2025-09-07T06:38:50.7602560Z                     "rank:0/cuda:0",
2025-09-07T06:38:50.7602600Z                     "rank:1/cuda:1",
2025-09-07T06:38:50.7602680Z                     "rank:2/cuda:2",
2025-09-07T06:38:50.7602730Z                     "rank:3/cuda:3",
2025-09-07T06:38:50.7602770Z                 ],
2025-09-07T06:38:50.7602810Z             )
2025-09-07T06:38:50.7602870Z         >>> st.reshard(resharding_spec)
2025-09-07T06:38:50.7602940Z         >>> tensor = st.local_shards()[0].tensor
2025-09-07T06:38:50.7602980Z         >>> tensor
2025-09-07T06:38:50.7603070Z         tensor([[1], [1], [3], [3], [5], [5], [7], [7]]) # Rank 0
2025-09-07T06:38:50.7603160Z         tensor([[2], [2], [4], [4], [6], [6], [8], [8]]) # Rank 1
2025-09-07T06:38:50.7603250Z         tensor([[3], [3], [5], [5], [7], [7], [9], [9]]) # Rank 2
2025-09-07T06:38:50.7603340Z         tensor([[4], [4], [6], [6], [8], [8], [10], [10]]) # Rank 3
2025-09-07T06:38:50.7603380Z     
2025-09-07T06:38:50.7603530Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7603570Z     
2025-09-07T06:38:50.7603620Z       warnings.warn(msg)
2025-09-07T06:38:50.7603660Z     
2025-09-07T06:38:50.7603760Z --- Parse Warning: 87 / 146 ---
2025-09-07T06:38:50.7604460Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ShardingPlan in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/_shard/sharding_plan/api.py line=12.
2025-09-07T06:38:50.7604660Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7604700Z     
2025-09-07T06:38:50.7604830Z     Representation of a sharding plan, describes how to shard a module
2025-09-07T06:38:50.7605000Z     across hosts. `plan` is used to shard module parameters according to the spec provided,
2025-09-07T06:38:50.7605170Z     `output_plan` and `return_local_tensor` are optional, they are used to specify the output
2025-09-07T06:38:50.7605330Z     layout of a module with a spec, and when to convert back to data parallel fashion.
2025-09-07T06:38:50.7605370Z     
2025-09-07T06:38:50.7605410Z     Args:
2025-09-07T06:38:50.7605570Z         plan (Dict[str, Union[:class:`torch.distributed._shard.sharding_spec.ShardingSpec`,
2025-09-07T06:38:50.7605680Z               :class:`torch.distributed._shard.sharder.Sharder`]):
2025-09-07T06:38:50.7605860Z             a dict describes how to shard a module, there're currently two ways to shard a module:
2025-09-07T06:38:50.7606020Z                 1. directly shard a module parameter by a `ShardingSpec`, keyed by the name of
2025-09-07T06:38:50.7606090Z                    a parameter to a `ShardingSpec`.
2025-09-07T06:38:50.7606250Z                 2. shard a submodule by applying a `Sharder` on it, keyed by the name of a module
2025-09-07T06:38:50.7606300Z                    to a `Sharder` object.
2025-09-07T06:38:50.7606500Z         output_plan (Dict[str, :class:`torch.distributed._shard.sharding_spec.ShardingSpec`), optional):
2025-09-07T06:38:50.7606660Z             a dict specifies the layout of a module's output which produces a ShardedTensor,
2025-09-07T06:38:50.7606810Z             keyed by the name of module to ShardingSpec("" in key means the root module).
2025-09-07T06:38:50.7606860Z             Default: `None`
2025-09-07T06:38:50.7607010Z         return_local_tensor (List[str], optional): a list of string, each element enables
2025-09-07T06:38:50.7607160Z             a module's sharded output to be returned as a Tensor from its local shards to
2025-09-07T06:38:50.7607310Z             ensure further processing in a data parallel fashion. ("" in list means the
2025-09-07T06:38:50.7607380Z             root module).
2025-09-07T06:38:50.7607430Z             Default: None
2025-09-07T06:38:50.7607470Z     Example:
2025-09-07T06:38:50.7607640Z       Suppose we want to shard a module with two linear layers and then run it with DDP, we also
2025-09-07T06:38:50.7607810Z       want to convert the output of the second linear layer back to DDP, we can do it as follows:
2025-09-07T06:38:50.7607870Z     
2025-09-07T06:38:50.7607980Z         >>> # xdoctest: +REQUIRES(module:torch._C._distributed_c10d)
2025-09-07T06:38:50.7608040Z         >>> class MyModule(nn.Module):
2025-09-07T06:38:50.7608100Z         >>>     def __init__(self) -> None:
2025-09-07T06:38:50.7608160Z         >>>        super().__init__()
2025-09-07T06:38:50.7608220Z         >>>        self.fc1 = nn.Linear()
2025-09-07T06:38:50.7608270Z         >>>        self.gelu = nn.GELU()
2025-09-07T06:38:50.7608330Z         >>>        self.fc2 = nn.Linear()
2025-09-07T06:38:50.7608390Z         >>>        self.relu = nn.Linear()
2025-09-07T06:38:50.7608430Z         >>>
2025-09-07T06:38:50.7608490Z         >>>     def forward(self, input):
2025-09-07T06:38:50.7608590Z         >>>         return self.relu(self.fc2(self.gelu(self.fc1(input))))
2025-09-07T06:38:50.7608630Z     
2025-09-07T06:38:50.7608670Z     
2025-09-07T06:38:50.7608750Z         >>> # xdoctest: +SKIP("Undefined spec1, spec2)
2025-09-07T06:38:50.7608820Z         >>> sharding_plan = ShardingPlan(
2025-09-07T06:38:50.7608860Z         >>>    plan={
2025-09-07T06:38:50.7608910Z         >>>        "fc1.weight": spec1,
2025-09-07T06:38:50.7608970Z         >>>        "fc2.weight": spec2
2025-09-07T06:38:50.7609010Z         >>>    },
2025-09-07T06:38:50.7609070Z         >>>    output_plan={
2025-09-07T06:38:50.7609130Z         >>>        "fc2": output_spec
2025-09-07T06:38:50.7609170Z         >>>    },
2025-09-07T06:38:50.7609230Z         >>>    return_local_tensor=["fc2"]
2025-09-07T06:38:50.7609290Z         >>> )
2025-09-07T06:38:50.7609340Z     
2025-09-07T06:38:50.7609490Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7609530Z     
2025-09-07T06:38:50.7609580Z       warnings.warn(msg)
2025-09-07T06:38:50.7609620Z     
2025-09-07T06:38:50.7609720Z --- Parse Warning: 88 / 146 ---
2025-09-07T06:38:50.7610480Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_sharding in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_register_sharding.py line=25.
2025-09-07T06:38:50.7610640Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7610710Z     
2025-09-07T06:38:50.7610880Z     :meth:`register_sharding` is an experimental API that allows users to register sharding
2025-09-07T06:38:50.7611020Z     strategies for an operator when the tensor inputs and outputs are DTensor.
2025-09-07T06:38:50.7611180Z     It can be useful when: (1) there doesn't exist a default sharding strategy for ``op``,
2025-09-07T06:38:50.7611320Z     e.g. when ``op`` is a custom operator that is not supported by :class:`DTensor`; (2)
2025-09-07T06:38:50.7611490Z     when users would like to overwrite default sharding strategies of existing operators.
2025-09-07T06:38:50.7611520Z     
2025-09-07T06:38:50.7611570Z     Args:
2025-09-07T06:38:50.7611640Z         op (Union[OpOverload, List[OpOverload]]):
2025-09-07T06:38:50.7611770Z             An op or a list of ops to register the customized sharding function.
2025-09-07T06:38:50.7611800Z     
2025-09-07T06:38:50.7611850Z     Returns:
2025-09-07T06:38:50.7612010Z         A function decorator which can be used to wrap a function that defines the sharding
2025-09-07T06:38:50.7614870Z         strategy for the operator specified in ``op``. The defined sharding strategy will be
2025-09-07T06:38:50.7615060Z         registered to DTensor and will override the default sharding strategy if DTensor has
2025-09-07T06:38:50.7615320Z         already implemented the operator. The customized sharding function takes the same inputs
2025-09-07T06:38:50.7615470Z         as the original op (except that if an arg is a :class:`torch.Tensor`, it will be
2025-09-07T06:38:50.7615640Z         replaced by a tensor-like object that DTensor uses internally). The function should
2025-09-07T06:38:50.7615860Z         return a sequence of 2-tuples, each specifying acceptable output placements and its
2025-09-07T06:38:50.7615930Z         corresponding input placements.
2025-09-07T06:38:50.7615970Z     
2025-09-07T06:38:50.7616010Z     Example:
2025-09-07T06:38:50.7616080Z         >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:50.7616160Z         >>> @register_sharding(aten._softmax.default)
2025-09-07T06:38:50.7616260Z         >>> def custom_softmax_sharding(x, dim, half_to_float):
2025-09-07T06:38:50.7616350Z         >>>     softmax_dim = dim if dim >= 0 else dim + x.ndim
2025-09-07T06:38:50.7616410Z         >>>     acceptable_shardings = []
2025-09-07T06:38:50.7616450Z         >>>
2025-09-07T06:38:50.7616560Z         >>>     all_replicate = ([Replicate()], [Replicate(), None, None])
2025-09-07T06:38:50.7616650Z         >>>     acceptable_shardings.append(all_replicate)
2025-09-07T06:38:50.7616690Z         >>>
2025-09-07T06:38:50.7616760Z         >>>     for sharding_dim in range(x.ndim):
2025-09-07T06:38:50.7616830Z         >>>         if sharding_dim != softmax_dim:
2025-09-07T06:38:50.7616880Z         >>>             all_sharded = (
2025-09-07T06:38:50.7616950Z         >>>                 [Shard(sharding_dim)],
2025-09-07T06:38:50.7617030Z         >>>                 [Shard(sharding_dim), None, None],
2025-09-07T06:38:50.7617080Z         >>>             )
2025-09-07T06:38:50.7617170Z         >>>             acceptable_shardings.append(all_sharded)
2025-09-07T06:38:50.7617210Z         >>>
2025-09-07T06:38:50.7617290Z         >>>     return acceptable_shardings
2025-09-07T06:38:50.7617330Z     
2025-09-07T06:38:50.7617460Z     .. note:: This API is currently experimental and subject to change
2025-09-07T06:38:50.7617500Z     
2025-09-07T06:38:50.7617650Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7617690Z     
2025-09-07T06:38:50.7617740Z       warnings.warn(msg)
2025-09-07T06:38:50.7617780Z     
2025-09-07T06:38:50.7617890Z --- Parse Warning: 89 / 146 ---
2025-09-07T06:38:50.7618610Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=local_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/tensor/experimental/_func_map.py line=35.
2025-09-07T06:38:50.7618780Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7618820Z     
2025-09-07T06:38:50.7618980Z     :meth:`local_map` is an experimental API that allows users to pass :class:`DTensor` s
2025-09-07T06:38:50.7619160Z     to a function that is written to be applied on ``torch.Tensor`` s. It is done by extracting
2025-09-07T06:38:50.7619320Z     the local components of :class:`DTensor`, call the function, and wrap the outputs to
2025-09-07T06:38:50.7619410Z     :class:`DTensor` according to the ``out_placements``.
2025-09-07T06:38:50.7619450Z     
2025-09-07T06:38:50.7619500Z     Args:
2025-09-07T06:38:50.7619620Z         func (Callable): the function to be applied on each local shard of
2025-09-07T06:38:50.7619680Z             :class:`DTensor` s.
2025-09-07T06:38:50.7619810Z         out_placements (Union[`PlacementType`, Tuple[`PlacementType`, ...]]):
2025-09-07T06:38:50.7619970Z             the desired placements of the :class:`DTensor` s in ``func``'s flattened output.
2025-09-07T06:38:50.7620110Z             If the flattened ``output`` is a single value, the ``out_placements`` should be
2025-09-07T06:38:50.7620260Z             of type `PlacementType`. Otherwise if the flattened ``output`` has multiple
2025-09-07T06:38:50.7620460Z             values, the ``out_placements`` should be a tuple of `PlacementType` values 1:1
2025-09-07T06:38:50.7620540Z             mapping to the flattened ``output``.
2025-09-07T06:38:50.7620660Z             Besides, for :class:`Tensor` output, we use `PlacementType` as its
2025-09-07T06:38:50.7620850Z             placements (a `Tuple[Placement]` value). For non-Tensor output, the `PlacementType`
2025-09-07T06:38:50.7620900Z             should be `None`.
2025-09-07T06:38:50.7621050Z             Note that the only exception is when no :class:`DTensor` argument is passed
2025-09-07T06:38:50.7621180Z             in. In this case, even if `out_placements` is not `None`, the result function
2025-09-07T06:38:50.7621340Z             should ignore the desired placements because the function is not running with
2025-09-07T06:38:50.7621390Z             :class:`DTensor` s.
2025-09-07T06:38:50.7621490Z         in_placements (Tuple[`PlacementType`, ...], optional):
2025-09-07T06:38:50.7621660Z             the required placements of the :class:`DTensor` s in the flattened inputs of ``func``.
2025-09-07T06:38:50.7621800Z             If ``in_placements`` is specified, :meth:`local_map` would examine whether the
2025-09-07T06:38:50.7621940Z             placements of each :class:`DTensor` argument is the same as the required
2025-09-07T06:38:50.7622050Z             placements or not. If the placements are not the same and
2025-09-07T06:38:50.7622200Z             ``redistribute_inputs`` is ``False``, an exception will be raised. Otherwise if
2025-09-07T06:38:50.7622350Z             ``redistribute_inputs`` is ``True``, the argument will be first redistributed to
2025-09-07T06:38:50.7622500Z             the required sharding placements before passing its local tensor to ``func``.
2025-09-07T06:38:50.7622630Z             The only exception is when required placements are not ``None`` and the
2025-09-07T06:38:50.7622800Z             argument is a :class:`torch.Tensor`. In this case, the placements examination
2025-09-07T06:38:50.7622940Z             will be skipped and the argument will be directly passed to ``func``.
2025-09-07T06:38:50.7623070Z             If ``in_placements`` is ``None``, no placements examination will be performed.
2025-09-07T06:38:50.7623130Z             Default: None
2025-09-07T06:38:50.7623240Z         in_grad_placements (Tuple[`PlacementType`, ...], optional):
2025-09-07T06:38:50.7623370Z             the placements hint of the :class:`DTensor` s gradient corresponds
2025-09-07T06:38:50.7623500Z             to the flattened input DTensor. This argument is the hint that user
2025-09-07T06:38:50.7623600Z             can give to :meth:`to_local` in case the gradient layout of the
2025-09-07T06:38:50.7623760Z             local tensor input does not match its :class:`DTensor` input layout.
2025-09-07T06:38:50.7623880Z             If not specified, we will assume the gradient layout of the local
2025-09-07T06:38:50.7624010Z             tensor input remains the same as the original :class:`DTensor` input
2025-09-07T06:38:50.7624120Z             and use that for gradient computation. Default: None.
2025-09-07T06:38:50.7624200Z         device_mesh (:class:`DeviceMesh`, optional):
2025-09-07T06:38:50.7624330Z             the device mesh that the output :class:`DTensor` s are placed on. If not
2025-09-07T06:38:50.7624490Z             specified, this will be inferred from the first input :class:`DTensor`'s device
2025-09-07T06:38:50.7624540Z             mesh. Default: None.
2025-09-07T06:38:50.7624580Z     
2025-09-07T06:38:50.7624630Z     Keyword Args:
2025-09-07T06:38:50.7624700Z         redistribute_inputs (bool, optional):
2025-09-07T06:38:50.7624850Z             the bool value indicating whether to reshard the input :class:`DTensor` s when
2025-09-07T06:38:50.7625000Z             their placements are different from the required input placements. If this
2025-09-07T06:38:50.7625140Z             value is ``False`` and some :class:`DTensor` input has a different placement,
2025-09-07T06:38:50.7625240Z             an exception will be raised. Default: False.
2025-09-07T06:38:50.7625280Z     
2025-09-07T06:38:50.7625330Z     Returns:
2025-09-07T06:38:50.7625480Z         A ``Callable`` that applies ``func`` to each local shard of the input :class:`DTensor`
2025-09-07T06:38:50.7625630Z         and returns a :class:`DTensor` constructed from the return value of ``func``.
2025-09-07T06:38:50.7625690Z     
2025-09-07T06:38:50.7625730Z     Raises:
2025-09-07T06:38:50.7625880Z         AssertionError: For any non-DTensor output, we require its corresponding
2025-09-07T06:38:50.7626030Z             output placement in ``out_placements`` be None. An AssertionError will be raised
2025-09-07T06:38:50.7626090Z             if this is not the case.
2025-09-07T06:38:50.7626130Z     
2025-09-07T06:38:50.7626280Z         ValueError: If ``redistribute_inputs=False`` but the input :class:`DTensor` needs
2025-09-07T06:38:50.7626380Z             a redistribution according to ``in_placements``.
2025-09-07T06:38:50.7626420Z     
2025-09-07T06:38:50.7626460Z     Example:
2025-09-07T06:38:50.7626530Z         >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:50.7626610Z         >>> def mm_allreduce_forward(device_mesh, W, X):
2025-09-07T06:38:50.7626680Z         >>>     partial_sum_tensor = torch.mm(W, X)
2025-09-07T06:38:50.7626830Z         >>>     reduced_tensor = funcol.all_reduce(partial_sum_tensor, "sum", device_mesh)
2025-09-07T06:38:50.7626890Z         >>>     return reduced_tensor
2025-09-07T06:38:50.7626930Z         >>>
2025-09-07T06:38:50.7627000Z         >>> W = torch.randn(12, 8, requires_grad=False)
2025-09-07T06:38:50.7627080Z         >>> X = torch.randn(8, 16, requires_grad=False)
2025-09-07T06:38:50.7627140Z         >>> Y = torch.mm(W, X)
2025-09-07T06:38:50.7627250Z         >>> row_wise = [Shard(0)]  # row-wise sharding placements on 1-d mesh
2025-09-07T06:38:50.7627380Z         >>> col_wise = [Shard(1)]  # col-wise sharding placements on 1-d mesh
2025-09-07T06:38:50.7627420Z         >>>
2025-09-07T06:38:50.7627590Z         >>> # local_mm_allreduce_forward is the function wrapped with DTensor/Tensor conversion
2025-09-07T06:38:50.7627660Z         >>> local_mm_allreduce_forward = local_map(
2025-09-07T06:38:50.7627720Z         >>>     mm_allreduce_forward,
2025-09-07T06:38:50.7627790Z         >>>     out_placements=[Replicate()],
2025-09-07T06:38:50.7627860Z         >>>     in_placements=[col_wise, row_wise],
2025-09-07T06:38:50.7627920Z         >>>     device_mesh=device_mesh,
2025-09-07T06:38:50.7627960Z         >>> )
2025-09-07T06:38:50.7628000Z         >>>
2025-09-07T06:38:50.7628060Z         >>> W_dt = distribute_tensor(
2025-09-07T06:38:50.7628130Z         ...     W, device_mesh, (col_wise)
2025-09-07T06:38:50.7628200Z         ... )  # col-wisely sharded W tensor
2025-09-07T06:38:50.7628260Z         >>> X_dt = distribute_tensor(
2025-09-07T06:38:50.7628320Z         ...     X, device_mesh, (row_wise)
2025-09-07T06:38:50.7628380Z         ... )  # row-wisely sharded X tensor
2025-09-07T06:38:50.7628450Z         >>> Y_dt = local_mm_allreduce_forward(
2025-09-07T06:38:50.7628500Z         ...     device_mesh, W_dt, X_dt
2025-09-07T06:38:50.7628590Z         ... )  # apply local_mm_allreduce_forward to DTensors
2025-09-07T06:38:50.7628630Z     
2025-09-07T06:38:50.7628750Z     .. note:: This API is currently experimental and subject to change
2025-09-07T06:38:50.7628790Z     
2025-09-07T06:38:50.7628950Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7628990Z     
2025-09-07T06:38:50.7629040Z       warnings.warn(msg)
2025-09-07T06:38:50.7629080Z     
2025-09-07T06:38:50.7629170Z --- Parse Warning: 90 / 146 ---
2025-09-07T06:38:50.7629900Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=428.
2025-09-07T06:38:50.7630080Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7630120Z     
2025-09-07T06:38:50.7630350Z     Configure the nn.Module's inputs to convert the input tensors of the nn.Module to DTensors at runtime according to
2025-09-07T06:38:50.7630560Z     ``input_layouts``, and perform layout redistribution according to the ``desired_input_layouts``.
2025-09-07T06:38:50.7630600Z     
2025-09-07T06:38:50.7630640Z     Keyword Args:
2025-09-07T06:38:50.7630770Z         input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-09-07T06:38:50.7630960Z             The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-09-07T06:38:50.7631180Z             DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-09-07T06:38:50.7631250Z             as a placeholder. default: None.
2025-09-07T06:38:50.7631390Z         desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-09-07T06:38:50.7631610Z             The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-09-07T06:38:50.7631840Z             have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-09-07T06:38:50.7631920Z         input_kwarg_layouts (Dict[str, Placement]):
2025-09-07T06:38:50.7632140Z             The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-09-07T06:38:50.7632190Z             default: None
2025-09-07T06:38:50.7632290Z         desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-09-07T06:38:50.7632510Z             The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-09-07T06:38:50.7632630Z             have the desired DTensor layouts. default: None.
2025-09-07T06:38:50.7632700Z         use_local_output (bool, optional):
2025-09-07T06:38:50.7632910Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-09-07T06:38:50.7632950Z     Returns:
2025-09-07T06:38:50.7633140Z         A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs.
2025-09-07T06:38:50.7633180Z     
2025-09-07T06:38:50.7633230Z     Example::
2025-09-07T06:38:50.7633280Z         >>> # xdoctest: +SKIP(failing)
2025-09-07T06:38:50.7633470Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInput
2025-09-07T06:38:50.7633620Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-09-07T06:38:50.7633660Z         >>> ...
2025-09-07T06:38:50.7633840Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-09-07T06:38:50.7633920Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-09-07T06:38:50.7633970Z         >>>
2025-09-07T06:38:50.7634160Z         >>> # According to the style specified below, the first input of attn will be annotated to Sharded DTensor
2025-09-07T06:38:50.7634260Z         >>> # and then redistributed to Replicated DTensor.
2025-09-07T06:38:50.7634310Z         >>> parallelize_module(
2025-09-07T06:38:50.7634390Z         >>>     block, # this can be a submodule or module
2025-09-07T06:38:50.7634440Z         >>>     tp_mesh,
2025-09-07T06:38:50.7634500Z         >>>     parallelize_plan={
2025-09-07T06:38:50.7634570Z         >>>         "attn": PrepareModuleInput(
2025-09-07T06:38:50.7634660Z         >>>             input_layouts=(Shard(0), None, None, ...),
2025-09-07T06:38:50.7634760Z         >>>             desired_input_layouts=(Replicate(), None, None, ...)
2025-09-07T06:38:50.7634810Z         >>>         ),
2025-09-07T06:38:50.7634850Z         >>>     }
2025-09-07T06:38:50.7634890Z         >>> )
2025-09-07T06:38:50.7634930Z     
2025-09-07T06:38:50.7635080Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7635140Z     
2025-09-07T06:38:50.7635190Z       warnings.warn(msg)
2025-09-07T06:38:50.7635230Z     
2025-09-07T06:38:50.7635330Z --- Parse Warning: 91 / 146 ---
2025-09-07T06:38:50.7636110Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=597.
2025-09-07T06:38:50.7636270Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7636310Z     
2025-09-07T06:38:50.7636540Z     Configure the nn.Module's outputs to convert the output tensors of the nn.Module to DTensors at runtime according to
2025-09-07T06:38:50.7636740Z     ``output_layouts``, and perform layout redistribution according to the ``desired_output_layouts``.
2025-09-07T06:38:50.7636780Z     
2025-09-07T06:38:50.7636830Z     Keyword Args:
2025-09-07T06:38:50.7636930Z         output_layouts (Union[Placement, Tuple[Placement]]):
2025-09-07T06:38:50.7637130Z             The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-09-07T06:38:50.7637350Z             DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-09-07T06:38:50.7637450Z             ``None`` need to be specified as a placeholder.
2025-09-07T06:38:50.7637560Z         desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-09-07T06:38:50.7637790Z             The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-09-07T06:38:50.7637860Z             have the desired DTensor layouts.
2025-09-07T06:38:50.7637950Z         use_local_output (bool, optional):
2025-09-07T06:38:50.7638160Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-09-07T06:38:50.7638210Z     Returns:
2025-09-07T06:38:50.7638390Z         A ParallelStyle object that prepares the sharding layouts of the nn.Module's outputs.
2025-09-07T06:38:50.7638420Z     
2025-09-07T06:38:50.7638470Z     Example::
2025-09-07T06:38:50.7638530Z         >>> # xdoctest: +SKIP(failing)
2025-09-07T06:38:50.7638720Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleOutput
2025-09-07T06:38:50.7638830Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-09-07T06:38:50.7638900Z         >>> ...
2025-09-07T06:38:50.7639080Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-09-07T06:38:50.7639160Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-09-07T06:38:50.7639200Z         >>>
2025-09-07T06:38:50.7639440Z         >>> # According to the style specified below, the output of the TransformerBlock will be converted to Replicated DTensor
2025-09-07T06:38:50.7639520Z         >>> # and then redistributed to Sharded DTensor.
2025-09-07T06:38:50.7639580Z         >>> parallelize_module(
2025-09-07T06:38:50.7639660Z         >>>     block, # this can be a submodule or module
2025-09-07T06:38:50.7639700Z         >>>     tp_mesh,
2025-09-07T06:38:50.7639790Z         >>>     parallelize_plan = PrepareModuleOutput(
2025-09-07T06:38:50.7639850Z         >>>         output_layouts=Replicate(),
2025-09-07T06:38:50.7639930Z         >>>         desired_output_layouts=Shard(0)
2025-09-07T06:38:50.7639970Z         >>>     )
2025-09-07T06:38:50.7640010Z         >>> )
2025-09-07T06:38:50.7640040Z     
2025-09-07T06:38:50.7640200Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7640240Z     
2025-09-07T06:38:50.7640290Z       warnings.warn(msg)
2025-09-07T06:38:50.7640330Z     
2025-09-07T06:38:50.7640430Z --- Parse Warning: 92 / 146 ---
2025-09-07T06:38:50.7641220Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=PrepareModuleInputOutput in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/tensor/parallel/style.py line=705.
2025-09-07T06:38:50.7641390Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7641430Z     
2025-09-07T06:38:50.7641690Z     Configure the nn.Module's inputs (and outputs) to convert the input tensors (and output tensors, respectively) of the nn.Module
2025-09-07T06:38:50.7641940Z     to DTensors at runtime according to ``input_layouts`` (and output_layouts, respectively), and perform layout redistribution
2025-09-07T06:38:50.7642170Z     according to the ``desired_input_layouts`` (and ``desired_output_layouts``, respectively). This is a combination of
2025-09-07T06:38:50.7642300Z     :class:`PrepareModuleInput` and :class:`PrepareModuleOutput`.
2025-09-07T06:38:50.7642340Z     
2025-09-07T06:38:50.7642380Z     Keyword Args:
2025-09-07T06:38:50.7642500Z         input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-09-07T06:38:50.7642700Z             The DTensor layouts of input tensors for the nn.Module, this is used to convert the input tensors to
2025-09-07T06:38:50.7642910Z             DTensors. If some inputs are not torch.Tensor or no need to convert to DTensors, ``None`` need to be specified
2025-09-07T06:38:50.7642980Z             as a placeholder. default: None.
2025-09-07T06:38:50.7643120Z         desired_input_layouts (Union[Placement, Tuple[Optional[Placement]]]):
2025-09-07T06:38:50.7643340Z             The desired DTensor layout of input tensors for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-09-07T06:38:50.7643590Z             have the desired DTensor layouts. This argument needs to have the same length with ``input_layouts``. default: None.
2025-09-07T06:38:50.7643680Z         input_kwarg_layouts (Dict[str, Placement]):
2025-09-07T06:38:50.7643900Z             The DTensor layouts of input kwargs for the nn.Module, this is used to convert the input kwarg tensors to DTensors.
2025-09-07T06:38:50.7643950Z             default: None
2025-09-07T06:38:50.7644050Z         desired_input_kwarg_layouts: (Dict[str, Placement]):
2025-09-07T06:38:50.7644270Z             The desired DTensor layout of input kwargs for the nn.Module, this is used to ensure the inputs of the nn.Module
2025-09-07T06:38:50.7644360Z             have the desired DTensor layouts. default: None.
2025-09-07T06:38:50.7644440Z         use_local_input (bool, optional):
2025-09-07T06:38:50.7644660Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module inputs, default: False.
2025-09-07T06:38:50.7644760Z         output_layouts (Union[Placement, Tuple[Placement]]):
2025-09-07T06:38:50.7644950Z             The DTensor layouts of output tensors for the nn.Module, this is used to convert the output tensors to
2025-09-07T06:38:50.7645180Z             DTensors if they are :class:`torch.Tensor`. If some outputs are not torch.Tensor or no need to convert to DTensors,
2025-09-07T06:38:50.7645270Z             ``None`` need to be specified as a placeholder.
2025-09-07T06:38:50.7645390Z         desired_output_layouts (Union[Placement, Tuple[Placement]]):
2025-09-07T06:38:50.7645620Z             The desired DTensor layouts of output tensors for the nn.Module, this is used to ensure the outputs of the nn.Module
2025-09-07T06:38:50.7645680Z             have the desired DTensor layouts.
2025-09-07T06:38:50.7645750Z         use_local_output (bool, optional):
2025-09-07T06:38:50.7645960Z             Whether to use local :class:`torch.Tensor` instead of :class:`DTensor` for the module outputs, default: True.
2025-09-07T06:38:50.7646010Z     Returns:
2025-09-07T06:38:50.7646220Z         A :class:`ParallelStyle` object that prepares the sharding layouts of the nn.Module's inputs and outputs.
2025-09-07T06:38:50.7646290Z     
2025-09-07T06:38:50.7646330Z     Example::
2025-09-07T06:38:50.7646390Z         >>> # xdoctest: +SKIP(failing)
2025-09-07T06:38:50.7646590Z         >>> from torch.distributed.tensor.parallel import parallelize_module, PrepareModuleInputOutput
2025-09-07T06:38:50.7646730Z         >>> from torch.distributed.device_mesh import init_device_mesh
2025-09-07T06:38:50.7646770Z         >>> ...
2025-09-07T06:38:50.7646960Z         >>> block = TransformerBlock(...)  # block is a nn.Module that contains an "attn" Attention submodule
2025-09-07T06:38:50.7647030Z         >>> tp_mesh = init_device_mesh("cuda", (8,))
2025-09-07T06:38:50.7647080Z         >>>
2025-09-07T06:38:50.7647270Z         >>> # According to the style specified below, the first input of attn will be annotated as Sharded DTensor
2025-09-07T06:38:50.7647490Z         >>> # and then redistributed to Replicated DTensor, and the output of the TransformerBlock will be annotated
2025-09-07T06:38:50.7647620Z         >>> # as Replicated DTensor and then redistributed to Sharded DTensor.
2025-09-07T06:38:50.7647670Z         >>> parallelize_module(
2025-09-07T06:38:50.7647750Z         >>>     block, # this can be a submodule or module
2025-09-07T06:38:50.7647800Z         >>>     tp_mesh,
2025-09-07T06:38:50.7647860Z         >>>     parallelize_plan={
2025-09-07T06:38:50.7647940Z         >>>         "attn": PrepareModuleInputOutput(
2025-09-07T06:38:50.7648030Z         >>>             input_layouts=(Shard(0), None, None, ...),
2025-09-07T06:38:50.7648130Z         >>>             desired_input_layouts=(Replicate(), None, None, ...),
2025-09-07T06:38:50.7648200Z         >>>             output_layouts=Replicate(),
2025-09-07T06:38:50.7648270Z         >>>             desired_output_layouts=Shard(0),
2025-09-07T06:38:50.7648320Z         >>>         ),
2025-09-07T06:38:50.7648360Z         >>>     }
2025-09-07T06:38:50.7648420Z         >>> )
2025-09-07T06:38:50.7648460Z     
2025-09-07T06:38:50.7648610Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7648650Z     
2025-09-07T06:38:50.7648700Z       warnings.warn(msg)
2025-09-07T06:38:50.7648740Z     
2025-09-07T06:38:50.7648840Z --- Parse Warning: 93 / 146 ---
2025-09-07T06:38:50.7649520Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=async_execution in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/rpc/functions.py line=6.
2025-09-07T06:38:50.7649670Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7649730Z     
2025-09-07T06:38:50.7649870Z     A decorator for a function indicating that the return value of the function
2025-09-07T06:38:50.7650000Z     is guaranteed to be a :class:`~torch.futures.Future` object and this
2025-09-07T06:38:50.7650140Z     function can run asynchronously on the RPC callee. More specifically, the
2025-09-07T06:38:50.7650290Z     callee extracts the :class:`~torch.futures.Future` returned by the wrapped
2025-09-07T06:38:50.7650420Z     function and installs subsequent processing steps as a callback to that
2025-09-07T06:38:50.7650570Z     :class:`~torch.futures.Future`. The installed callback will read the value
2025-09-07T06:38:50.7650690Z     from the :class:`~torch.futures.Future` when completed and send the
2025-09-07T06:38:50.7650800Z     value back as the RPC response. That also means the returned
2025-09-07T06:38:50.7650940Z     :class:`~torch.futures.Future` only exists on the callee side and is never
2025-09-07T06:38:50.7651070Z     sent through RPC. This decorator is useful when the wrapped function's
2025-09-07T06:38:50.7651190Z     (``fn``) execution needs to pause and resume due to, e.g., containing
2025-09-07T06:38:50.7651330Z     :meth:`~torch.distributed.rpc.rpc_async` or waiting for other signals.
2025-09-07T06:38:50.7651370Z     
2025-09-07T06:38:50.7651520Z     .. note:: To enable asynchronous execution, applications must pass the
2025-09-07T06:38:50.7651660Z         function object returned by this decorator to RPC APIs. If RPC detected
2025-09-07T06:38:50.7651790Z         attributes installed by this decorator, it knows that this function
2025-09-07T06:38:50.7651900Z         returns a ``Future`` object and will handle that accordingly.
2025-09-07T06:38:50.7652050Z         However, this does not mean this decorator has to be outmost one when
2025-09-07T06:38:50.7652180Z         defining a function. For example, when combined with ``@staticmethod``
2025-09-07T06:38:50.7652310Z         or ``@classmethod``, ``@rpc.functions.async_execution`` needs to be the
2025-09-07T06:38:50.7652450Z         inner decorator to allow the target function be recognized as a static
2025-09-07T06:38:50.7652580Z         or class function. This target function can still execute asynchronously
2025-09-07T06:38:50.7652720Z         because, when accessed, the static or class method preserves attributes
2025-09-07T06:38:50.7652810Z         installed by ``@rpc.functions.async_execution``.
2025-09-07T06:38:50.7652850Z     
2025-09-07T06:38:50.7652890Z     
2025-09-07T06:38:50.7652930Z     Example::
2025-09-07T06:38:50.7653050Z         The returned :class:`~torch.futures.Future` object can come from
2025-09-07T06:38:50.7653130Z         :meth:`~torch.distributed.rpc.rpc_async`,
2025-09-07T06:38:50.7653270Z         :meth:`~torch.futures.Future.then`, or :class:`~torch.futures.Future`
2025-09-07T06:38:50.7653380Z         constructor. The example below shows directly using the
2025-09-07T06:38:50.7653450Z         :class:`~torch.futures.Future` returned by
2025-09-07T06:38:50.7653520Z         :meth:`~torch.futures.Future.then`.
2025-09-07T06:38:50.7653560Z     
2025-09-07T06:38:50.7653630Z         >>> from torch.distributed import rpc
2025-09-07T06:38:50.7653670Z         >>>
2025-09-07T06:38:50.7653770Z         >>> # omitting setup and shutdown RPC
2025-09-07T06:38:50.7653810Z         >>>
2025-09-07T06:38:50.7653860Z         >>> # On all workers
2025-09-07T06:38:50.7653930Z         >>> @rpc.functions.async_execution
2025-09-07T06:38:50.7653990Z         >>> def async_add_chained(to, x, y, z):
2025-09-07T06:38:50.7654110Z         >>>     # This function runs on "worker1" and returns immediately when
2025-09-07T06:38:50.7654220Z         >>>     # the callback is installed through the `then(cb)` API. In the
2025-09-07T06:38:50.7654340Z         >>>     # mean time, the `rpc_async` to "worker2" can run concurrently.
2025-09-07T06:38:50.7654440Z         >>>     # When the return value of that `rpc_async` arrives at
2025-09-07T06:38:50.7654550Z         >>>     # "worker1", "worker1" will run the lambda function accordingly
2025-09-07T06:38:50.7654690Z         >>>     # and set the value for the previously returned `Future`, which
2025-09-07T06:38:50.7654810Z         >>>     # will then trigger RPC to send the result back to "worker0".
2025-09-07T06:38:50.7654910Z         >>>     return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-09-07T06:38:50.7654980Z         >>>         lambda fut: fut.wait() + z
2025-09-07T06:38:50.7655020Z         >>>     )
2025-09-07T06:38:50.7655060Z         >>>
2025-09-07T06:38:50.7655110Z         >>> # On worker0
2025-09-07T06:38:50.7655160Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7655210Z         >>> ret = rpc.rpc_sync(
2025-09-07T06:38:50.7655260Z         >>>     "worker1",
2025-09-07T06:38:50.7655310Z         >>>     async_add_chained,
2025-09-07T06:38:50.7655390Z         >>>     args=("worker2", torch.ones(2), 1, 1)
2025-09-07T06:38:50.7655430Z         >>> )
2025-09-07T06:38:50.7655500Z         >>> print(ret)  # prints tensor([3., 3.])
2025-09-07T06:38:50.7655540Z     
2025-09-07T06:38:50.7655670Z         When combined with TorchScript decorators, this decorator must be the
2025-09-07T06:38:50.7655720Z         outmost one.
2025-09-07T06:38:50.7655760Z     
2025-09-07T06:38:50.7655820Z         >>> from torch import Tensor
2025-09-07T06:38:50.7655880Z         >>> from torch.futures import Future
2025-09-07T06:38:50.7655970Z         >>> from torch.distributed import rpc
2025-09-07T06:38:50.7656010Z         >>>
2025-09-07T06:38:50.7656070Z         >>> # omitting setup and shutdown RPC
2025-09-07T06:38:50.7656110Z         >>>
2025-09-07T06:38:50.7656160Z         >>> # On all workers
2025-09-07T06:38:50.7656220Z         >>> @torch.jit.script
2025-09-07T06:38:50.7656330Z         >>> def script_add(x: Tensor, y: Tensor) -> Tensor:
2025-09-07T06:38:50.7656380Z         >>>     return x + y
2025-09-07T06:38:50.7656420Z         >>>
2025-09-07T06:38:50.7656490Z         >>> @rpc.functions.async_execution
2025-09-07T06:38:50.7656540Z         >>> @torch.jit.script
2025-09-07T06:38:50.7656660Z         >>> def async_add(to: str, x: Tensor, y: Tensor) -> Future[Tensor]:
2025-09-07T06:38:50.7656740Z         >>>     return rpc.rpc_async(to, script_add, (x, y))
2025-09-07T06:38:50.7656780Z         >>>
2025-09-07T06:38:50.7656830Z         >>> # On worker0
2025-09-07T06:38:50.7656880Z         >>> ret = rpc.rpc_sync(
2025-09-07T06:38:50.7656930Z         >>>     "worker1",
2025-09-07T06:38:50.7656980Z         >>>     async_add,
2025-09-07T06:38:50.7657050Z         >>>     args=("worker2", torch.ones(2), 1)
2025-09-07T06:38:50.7657090Z         >>> )
2025-09-07T06:38:50.7657160Z         >>> print(ret)  # prints tensor([2., 2.])
2025-09-07T06:38:50.7657200Z     
2025-09-07T06:38:50.7657330Z         When combined with static or class method, this decorator must be the
2025-09-07T06:38:50.7657370Z         inner one.
2025-09-07T06:38:50.7657410Z     
2025-09-07T06:38:50.7657480Z         >>> from torch.distributed import rpc
2025-09-07T06:38:50.7657520Z         >>>
2025-09-07T06:38:50.7657580Z         >>> # omitting setup and shutdown RPC
2025-09-07T06:38:50.7657620Z         >>>
2025-09-07T06:38:50.7657670Z         >>> # On all workers
2025-09-07T06:38:50.7657730Z         >>> class AsyncExecutionClass:
2025-09-07T06:38:50.7657800Z         >>>
2025-09-07T06:38:50.7657850Z         >>>     @staticmethod
2025-09-07T06:38:50.7657920Z         >>>     @rpc.functions.async_execution
2025-09-07T06:38:50.7657980Z         >>>     def static_async_add(to, x, y, z):
2025-09-07T06:38:50.7658090Z         >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-09-07T06:38:50.7658160Z         >>>             lambda fut: fut.wait() + z
2025-09-07T06:38:50.7658200Z         >>>         )
2025-09-07T06:38:50.7658240Z         >>>
2025-09-07T06:38:50.7658290Z         >>>     @classmethod
2025-09-07T06:38:50.7658350Z         >>>     @rpc.functions.async_execution
2025-09-07T06:38:50.7658430Z         >>>     def class_async_add(cls, to, x, y, z):
2025-09-07T06:38:50.7658530Z         >>>         ret_fut = torch.futures.Future()
2025-09-07T06:38:50.7658620Z         >>>         rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-09-07T06:38:50.7658710Z         >>>             lambda fut: ret_fut.set_result(fut.wait() + z)
2025-09-07T06:38:50.7658750Z         >>>         )
2025-09-07T06:38:50.7658810Z         >>>         return ret_fut
2025-09-07T06:38:50.7658850Z         >>>
2025-09-07T06:38:50.7658920Z         >>>     @rpc.functions.async_execution
2025-09-07T06:38:50.7658990Z         >>>     def bound_async_add(self, to, x, y, z):
2025-09-07T06:38:50.7659090Z         >>>         return rpc.rpc_async(to, torch.add, args=(x, y)).then(
2025-09-07T06:38:50.7659160Z         >>>             lambda fut: fut.wait() + z
2025-09-07T06:38:50.7659200Z         >>>         )
2025-09-07T06:38:50.7659240Z         >>>
2025-09-07T06:38:50.7659290Z         >>> # On worker0
2025-09-07T06:38:50.7659340Z         >>> ret = rpc.rpc_sync(
2025-09-07T06:38:50.7659390Z         >>>     "worker1",
2025-09-07T06:38:50.7659470Z         >>>     AsyncExecutionClass.static_async_add,
2025-09-07T06:38:50.7659540Z         >>>     args=("worker2", torch.ones(2), 1, 2)
2025-09-07T06:38:50.7659580Z         >>> )
2025-09-07T06:38:50.7659650Z         >>> print(ret)  # prints tensor([4., 4.])
2025-09-07T06:38:50.7659690Z         >>>
2025-09-07T06:38:50.7659770Z         >>> ret = rpc.rpc_sync(
2025-09-07T06:38:50.7659820Z         >>>     "worker1",
2025-09-07T06:38:50.7659900Z         >>>     AsyncExecutionClass.class_async_add,
2025-09-07T06:38:50.7659970Z         >>>     args=("worker2", torch.ones(2), 1, 2)
2025-09-07T06:38:50.7660010Z         >>> )
2025-09-07T06:38:50.7660080Z         >>> print(ret)  # prints tensor([4., 4.])
2025-09-07T06:38:50.7660140Z     
2025-09-07T06:38:50.7660240Z         This decorator also works with RRef helpers, i.e., .
2025-09-07T06:38:50.7660320Z         :meth:`torch.distributed.rpc.RRef.rpc_sync`,
2025-09-07T06:38:50.7660410Z         :meth:`torch.distributed.rpc.RRef.rpc_async`, and
2025-09-07T06:38:50.7660500Z         :meth:`torch.distributed.rpc.RRef.remote`.
2025-09-07T06:38:50.7660540Z     
2025-09-07T06:38:50.7660610Z         >>> from torch.distributed import rpc
2025-09-07T06:38:50.7660650Z         >>>
2025-09-07T06:38:50.7660730Z         >>> # reuse the AsyncExecutionClass class above
2025-09-07T06:38:50.7660820Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-09-07T06:38:50.7660950Z         >>> ret = rref.rpc_sync().static_async_add("worker2", torch.ones(2), 1, 2)
2025-09-07T06:38:50.7661020Z         >>> print(ret)  # prints tensor([4., 4.])
2025-09-07T06:38:50.7661060Z         >>>
2025-09-07T06:38:50.7661150Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-09-07T06:38:50.7661300Z         >>> ret = rref.rpc_async().static_async_add("worker2", torch.ones(2), 1, 2).wait()
2025-09-07T06:38:50.7661370Z         >>> print(ret)  # prints tensor([4., 4.])
2025-09-07T06:38:50.7661410Z         >>>
2025-09-07T06:38:50.7661500Z         >>> rref = rpc.remote("worker1", AsyncExecutionClass)
2025-09-07T06:38:50.7661640Z         >>> ret = rref.remote().static_async_add("worker2", torch.ones(2), 1, 2).to_here()
2025-09-07T06:38:50.7661710Z         >>> print(ret)  # prints tensor([4., 4.])
2025-09-07T06:38:50.7661770Z     
2025-09-07T06:38:50.7661920Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7661960Z     
2025-09-07T06:38:50.7662010Z       warnings.warn(msg)
2025-09-07T06:38:50.7662050Z     
2025-09-07T06:38:50.7662150Z --- Parse Warning: 94 / 146 ---
2025-09-07T06:38:50.7662900Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=TensorPipeRpcBackendOptions.set_device_map in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/rpc/options.py line=113.
2025-09-07T06:38:50.7663060Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7663120Z     
2025-09-07T06:38:50.7663250Z     Set device mapping between each RPC caller and callee pair. This
2025-09-07T06:38:50.7663350Z     function can be called multiple times to incrementally add
2025-09-07T06:38:50.7663420Z     device placement configurations.
2025-09-07T06:38:50.7663460Z     
2025-09-07T06:38:50.7663500Z     Args:
2025-09-07T06:38:50.7663550Z         to (str): Callee name.
2025-09-07T06:38:50.7663670Z         device_map (Dict of int, str, or torch.device): Device placement
2025-09-07T06:38:50.7663780Z             mappings from this worker to the callee. This map must be
2025-09-07T06:38:50.7663830Z             invertible.
2025-09-07T06:38:50.7663870Z     
2025-09-07T06:38:50.7663910Z     Example:
2025-09-07T06:38:50.7663980Z         >>> # xdoctest: +SKIP("distributed")
2025-09-07T06:38:50.7664030Z         >>> # both workers
2025-09-07T06:38:50.7664080Z         >>> def add(x, y):
2025-09-07T06:38:50.7664160Z         >>>     print(x)  # tensor([1., 1.], device='cuda:1')
2025-09-07T06:38:50.7664220Z         >>>     return x + y, (x + y).to(2)
2025-09-07T06:38:50.7664260Z         >>>
2025-09-07T06:38:50.7664310Z         >>> # on worker 0
2025-09-07T06:38:50.7664390Z         >>> options = TensorPipeRpcBackendOptions(
2025-09-07T06:38:50.7664450Z         >>>     num_worker_threads=8,
2025-09-07T06:38:50.7664540Z         >>>     device_maps={"worker1": {0: 1}}
2025-09-07T06:38:50.7664610Z         >>> # maps worker0's cuda:0 to worker1's cuda:1
2025-09-07T06:38:50.7664660Z         >>> )
2025-09-07T06:38:50.7664730Z         >>> options.set_device_map("worker1", {1: 2})
2025-09-07T06:38:50.7664810Z         >>> # maps worker0's cuda:1 to worker1's cuda:2
2025-09-07T06:38:50.7664870Z         >>>
2025-09-07T06:38:50.7664920Z         >>> rpc.init_rpc(
2025-09-07T06:38:50.7664970Z         >>>     "worker0",
2025-09-07T06:38:50.7665010Z         >>>     rank=0,
2025-09-07T06:38:50.7665070Z         >>>     world_size=2,
2025-09-07T06:38:50.7665140Z         >>>     backend=rpc.BackendType.TENSORPIPE,
2025-09-07T06:38:50.7665210Z         >>>     rpc_backend_options=options
2025-09-07T06:38:50.7665240Z         >>> )
2025-09-07T06:38:50.7665280Z         >>>
2025-09-07T06:38:50.7665330Z         >>> x = torch.ones(2)
2025-09-07T06:38:50.7665440Z         >>> rets = rpc.rpc_sync("worker1", add, args=(x.to(0), 1))
2025-09-07T06:38:50.7665550Z         >>> # The first argument will be moved to cuda:1 on worker1. When
2025-09-07T06:38:50.7665660Z         >>> # sending the return value back, it will follow the invert of
2025-09-07T06:38:50.7665760Z         >>> # the device map, and hence will be moved back to cuda:0 and
2025-09-07T06:38:50.7665820Z         >>> # cuda:1 on worker0
2025-09-07T06:38:50.7665910Z         >>> print(rets[0])  # tensor([2., 2.], device='cuda:0')
2025-09-07T06:38:50.7666000Z         >>> print(rets[1])  # tensor([2., 2.], device='cuda:1')
2025-09-07T06:38:50.7666040Z     
2025-09-07T06:38:50.7666190Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7666230Z     
2025-09-07T06:38:50.7666280Z       warnings.warn(msg)
2025-09-07T06:38:50.7666320Z     
2025-09-07T06:38:50.7666420Z --- Parse Warning: 95 / 146 ---
2025-09-07T06:38:50.7667210Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=_server_process_global_profile in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributed/rpc/server_process_global_profiler.py line=19.
2025-09-07T06:38:50.7667370Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7667410Z     
2025-09-07T06:38:50.7667530Z     It has the same API as ``torch.autograd.profiler.profile`` class,
2025-09-07T06:38:50.7667700Z     except that it enables profiling on all threads running RPC server request callbacks.
2025-09-07T06:38:50.7667740Z     
2025-09-07T06:38:50.7670550Z     Context manager that manages autograd profiler state and holds a summary of results.
2025-09-07T06:38:50.7670700Z     Under the hood it just records events of functions being executed in C++ and
2025-09-07T06:38:50.7670840Z     exposes those events to Python. You can wrap any code into it and it will
2025-09-07T06:38:50.7670910Z     only report runtime of PyTorch functions.
2025-09-07T06:38:50.7671080Z     Note: profiler is thread local and is automatically propagated into the async tasks
2025-09-07T06:38:50.7671120Z     
2025-09-07T06:38:50.7671160Z     Args:
2025-09-07T06:38:50.7671320Z         enabled (bool, optional): Setting this to False makes this context manager a no-op.
2025-09-07T06:38:50.7671370Z             Default: ``True``.
2025-09-07T06:38:50.7671410Z     
2025-09-07T06:38:50.7671590Z         use_cuda (bool, optional): Enables timing of CUDA events as well using the cudaEvent API.
2025-09-07T06:38:50.7671710Z             Adds approximately 4us of overhead to each tensor operation.
2025-09-07T06:38:50.7671760Z             Default: ``False``
2025-09-07T06:38:50.7671800Z     
2025-09-07T06:38:50.7671940Z         record_shapes (bool, optional): If shapes recording is set, information
2025-09-07T06:38:50.7672080Z             about input dimensions will be collected. This allows one to see which
2025-09-07T06:38:50.7672210Z             dimensions have been used under the hood and further group by them
2025-09-07T06:38:50.7672430Z             using prof.key_averages(group_by_input_shape=True). Please note that
2025-09-07T06:38:50.7672570Z             shape recording might skew your profiling data. It is recommended to
2025-09-07T06:38:50.7672710Z             use separate runs with and without shape recording to validate the timing.
2025-09-07T06:38:50.7672860Z             Most likely the skew will be negligible for bottom most events (in a case
2025-09-07T06:38:50.7672990Z             of nested function calls). But for higher level functions the total
2025-09-07T06:38:50.7673120Z             self cpu time might be artificially increased because of the shape
2025-09-07T06:38:50.7673160Z             collection.
2025-09-07T06:38:50.7673200Z     
2025-09-07T06:38:50.7673360Z         profile_memory (bool, optional): Whether to report memory usage, default: ``False``
2025-09-07T06:38:50.7673400Z     
2025-09-07T06:38:50.7673450Z     .. warning::
2025-09-07T06:38:50.7673580Z         Enabling memory profiling incurs additional profiler overhead
2025-09-07T06:38:50.7673610Z     
2025-09-07T06:38:50.7673660Z     .. warning::
2025-09-07T06:38:50.7673830Z         Due to some CUDA multiprocessing limitations (see :ref:`multiprocessing-cuda-note`),
2025-09-07T06:38:50.7673950Z         one cannot use the profiler with ``use_cuda = True`` to benchmark
2025-09-07T06:38:50.7674100Z         DataLoaders with ``num_workers > 0``. If you wish to benchmark data loading,
2025-09-07T06:38:50.7674200Z         please use ``use_cuda = False`` or ``num_workers = 0``.
2025-09-07T06:38:50.7674240Z     
2025-09-07T06:38:50.7674280Z     Example:
2025-09-07T06:38:50.7674330Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7674380Z         >>> # On worker 0:
2025-09-07T06:38:50.7674430Z         >>> import torch
2025-09-07T06:38:50.7674500Z         >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:50.7674610Z         >>> rpc.init_rpc("worker0", rank=0, world_size=2)
2025-09-07T06:38:50.7674690Z         >>> x, y = torch.tensor(1), torch.tensor(2)
2025-09-07T06:38:50.7674760Z         >>> outer_profile_rref = rpc.remote(
2025-09-07T06:38:50.7674860Z         ...     dst_worker_name, rpc._server_process_global_profile
2025-09-07T06:38:50.7674900Z         ... )
2025-09-07T06:38:50.7674980Z         >>> outer_profile_rref.rpc_sync().__enter__()
2025-09-07T06:38:50.7675070Z         >>> rpc.rpc_sync(dst_worker_name, torch.add, (x, y))
2025-09-07T06:38:50.7675130Z         >>> inner_profile_rref = rpc.remote(
2025-09-07T06:38:50.7675230Z         ...     dst_worker_name, rpc._server_process_global_profile
2025-09-07T06:38:50.7675270Z         ... )
2025-09-07T06:38:50.7675380Z         >>> inner_profile_rref.rpc_sync().__enter__()
2025-09-07T06:38:50.7675470Z         >>> rpc.rpc_sync(dst_worker_name, torch.sub, (x, y))
2025-09-07T06:38:50.7675580Z         >>> inner_profile_rref.rpc_sync().__exit__(None, None, None)
2025-09-07T06:38:50.7675680Z         >>> outer_profile_rref.rpc_sync().__exit__(None, None, None)
2025-09-07T06:38:50.7675780Z         >>> print(inner_profile_rref.rpc_sync().key_averages())
2025-09-07T06:38:50.7675930Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-09-07T06:38:50.7676120Z         Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-09-07T06:38:50.7676270Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-09-07T06:38:50.7676390Z         sub        85.06%           76.275us         100.00%          89.667us         89.667us         1
2025-09-07T06:38:50.7676510Z         empty      14.94%           13.392us         14.94%           13.392us         13.392us         1
2025-09-07T06:38:50.7676660Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-09-07T06:38:50.7676720Z         Self CPU time total: 89.667us
2025-09-07T06:38:50.7676840Z         >>> print(outer_profile_rref.rpc_sync().key_averages())
2025-09-07T06:38:50.7676980Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-09-07T06:38:50.7677190Z         Name       Self CPU total %  Self CPU total   CPU total %      CPU total        CPU time avg     Number of Calls
2025-09-07T06:38:50.7677330Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-09-07T06:38:50.7677450Z         sub        35.65%           76.275us         41.91%           89.667us         89.667us         1
2025-09-07T06:38:50.7677570Z         empty      12.67%           27.101us         12.67%           27.101us         13.551us         2
2025-09-07T06:38:50.7677680Z         add        51.68%           110.550us        58.09%           124.259us        124.259us        1
2025-09-07T06:38:50.7677820Z         ---------  ---------------  ---------------  ---------------  ---------------  ---------------  ---------------
2025-09-07T06:38:50.7677880Z         Self CPU time total: 213.926us
2025-09-07T06:38:50.7677940Z         >>> rpc.shutdown()
2025-09-07T06:38:50.7677980Z     
2025-09-07T06:38:50.7678030Z         >>> # On worker 1:
2025-09-07T06:38:50.7678100Z         >>> import torch.distributed.rpc as rpc
2025-09-07T06:38:50.7678190Z         >>> rpc.init_rpc("worker1", rank=1, world_size=2)
2025-09-07T06:38:50.7678290Z         >>> # wait for worker 0 to finish work, and then shutdown.
2025-09-07T06:38:50.7678340Z         >>> rpc.shutdown()
2025-09-07T06:38:50.7678380Z     
2025-09-07T06:38:50.7678530Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7678570Z     
2025-09-07T06:38:50.7678620Z       warnings.warn(msg)
2025-09-07T06:38:50.7678660Z     
2025-09-07T06:38:50.7678800Z --- Parse Warning: 96 / 146 ---
2025-09-07T06:38:50.7679460Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=record_function in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/profiler.py line=734.
2025-09-07T06:38:50.7679620Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7679850Z     Context manager/function decorator that adds a label to a code block/function when running autograd profiler.
2025-09-07T06:38:50.7679960Z         Label will only appear if CPU activity tracing is enabled.
2025-09-07T06:38:50.7680000Z     
2025-09-07T06:38:50.7680100Z         It is useful when tracing the code profile.
2025-09-07T06:38:50.7680140Z     
2025-09-07T06:38:50.7680180Z         Args:
2025-09-07T06:38:50.7680260Z             name (str): Label assigned to the block of code.
2025-09-07T06:38:50.7680380Z             node_id (int): ID of node, for distributed profiling. Unset in
2025-09-07T06:38:50.7680440Z             non-distributed cases.
2025-09-07T06:38:50.7680480Z     
2025-09-07T06:38:50.7680520Z         Example:
2025-09-07T06:38:50.7680630Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_AUTOGRAD_PROFILER)
2025-09-07T06:38:50.7680710Z             >>> x = torch.randn((1, 1), requires_grad=True)
2025-09-07T06:38:50.7680810Z             >>> with torch.autograd.profiler.profile() as prof:
2025-09-07T06:38:50.7680860Z             ...     y = x**2
2025-09-07T06:38:50.7680960Z             ...     with torch.autograd.profiler.record_function(
2025-09-07T06:38:50.7681010Z             ...         "label-z"
2025-09-07T06:38:50.7681070Z             ...     ):  # label the block
2025-09-07T06:38:50.7681120Z             ...         z = y**3
2025-09-07T06:38:50.7681170Z             ...     y.backward()
2025-09-07T06:38:50.7681230Z             >>> # xdoctest: +IGNORE_WANT
2025-09-07T06:38:50.7681310Z             >>> # NOTE: some columns were removed for brevity
2025-09-07T06:38:50.7681440Z             >>> print(prof.key_averages().table(sort_by="self_cpu_time_total"))
2025-09-07T06:38:50.7681590Z             -----------------------------------  ---------------  ---------------  ---------------
2025-09-07T06:38:50.7681700Z             Name                                 Self CPU total %  CPU time avg     Number of Calls
2025-09-07T06:38:50.7681850Z             -----------------------------------  ---------------  ---------------  ---------------
2025-09-07T06:38:50.7681940Z             pow                                  60.77%           47.470us         3
2025-09-07T06:38:50.7682020Z             mul                                  21.73%           25.465us         2
2025-09-07T06:38:50.7682130Z             PowBackward0                         12.03%           121.891us        1
2025-09-07T06:38:50.7682260Z             torch::autograd::AccumulateGrad      2.70%            6.324us          1
2025-09-07T06:38:50.7682350Z             label-z                              2.13%            12.421us         1
2025-09-07T06:38:50.7682470Z             torch::autograd::GraphRoot           0.64%            1.503us          1
2025-09-07T06:38:50.7682590Z             -----------------------------------  ---------------  ---------------  ---------------
2025-09-07T06:38:50.7682660Z             Self CPU time total: 234.344us
2025-09-07T06:38:50.7682720Z             CUDA time total: 0.000us
2025-09-07T06:38:50.7682760Z     
2025-09-07T06:38:50.7682800Z         
2025-09-07T06:38:50.7682950Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7682990Z     
2025-09-07T06:38:50.7683040Z       warnings.warn(msg)
2025-09-07T06:38:50.7683080Z     
2025-09-07T06:38:50.7683180Z --- Parse Warning: 97 / 146 ---
2025-09-07T06:38:50.7683930Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assoc_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=245.
2025-09-07T06:38:50.7684080Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7684200Z     Return a new dict with new, potentially nested, key value pair
2025-09-07T06:38:50.7684240Z     
2025-09-07T06:38:50.7684290Z         >>> purchase = {
2025-09-07T06:38:50.7684340Z         ...     "name": "Alice",
2025-09-07T06:38:50.7684450Z         ...     "order": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-09-07T06:38:50.7684530Z         ...     "credit card": "5555-1234-1234-1234",
2025-09-07T06:38:50.7684570Z         ... }
2025-09-07T06:38:50.7684720Z         >>> assoc_in(purchase, ["order", "costs"], [0.25, 1.00])  # doctest: +SKIP
2025-09-07T06:38:50.7684780Z         {'credit card': '5555-1234-1234-1234',
2025-09-07T06:38:50.7684830Z          'name': 'Alice',
2025-09-07T06:38:50.7684930Z          'order': {'costs': [0.25, 1.00], 'items': ['Apple', 'Orange']}}
2025-09-07T06:38:50.7684980Z         
2025-09-07T06:38:50.7685120Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7685160Z     
2025-09-07T06:38:50.7685210Z       warnings.warn(msg)
2025-09-07T06:38:50.7685250Z     
2025-09-07T06:38:50.7685350Z --- Parse Warning: 98 / 146 ---
2025-09-07T06:38:50.7686080Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=update_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=261.
2025-09-07T06:38:50.7686230Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7686320Z     Update value in a (potentially) nested dictionary
2025-09-07T06:38:50.7686370Z     
2025-09-07T06:38:50.7686410Z         inputs:
2025-09-07T06:38:50.7686480Z         d - dictionary on which to operate
2025-09-07T06:38:50.7686630Z         keys - list or tuple giving the location of the value to be changed in d
2025-09-07T06:38:50.7686710Z         func - function to operate on that value
2025-09-07T06:38:50.7686740Z     
2025-09-07T06:38:50.7686870Z         If keys == [k0,..,kX] and d[k0]..[kX] == v, update_in returns a copy of the
2025-09-07T06:38:50.7687030Z         original dictionary with v replaced by func(v), but does not mutate the
2025-09-07T06:38:50.7687080Z         original dictionary.
2025-09-07T06:38:50.7687120Z     
2025-09-07T06:38:50.7687250Z         If k0 is not a key in d, update_in creates nested dictionaries to the depth
2025-09-07T06:38:50.7687380Z         specified by the keys, with the innermost value set to func(default).
2025-09-07T06:38:50.7687420Z     
2025-09-07T06:38:50.7687480Z         >>> inc = lambda x: x + 1
2025-09-07T06:38:50.7687540Z         >>> update_in({"a": 0}, ["a"], inc)
2025-09-07T06:38:50.7687580Z         {'a': 1}
2025-09-07T06:38:50.7687620Z     
2025-09-07T06:38:50.7687670Z         >>> transaction = {
2025-09-07T06:38:50.7687720Z         ...     "name": "Alice",
2025-09-07T06:38:50.7687840Z         ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-09-07T06:38:50.7687910Z         ...     "credit card": "5555-1234-1234-1234",
2025-09-07T06:38:50.7687950Z         ... }
2025-09-07T06:38:50.7688080Z         >>> update_in(transaction, ["purchase", "costs"], sum)  # doctest: +SKIP
2025-09-07T06:38:50.7688150Z         {'credit card': '5555-1234-1234-1234',
2025-09-07T06:38:50.7688200Z          'name': 'Alice',
2025-09-07T06:38:50.7688300Z          'purchase': {'costs': 1.75, 'items': ['Apple', 'Orange']}}
2025-09-07T06:38:50.7688340Z     
2025-09-07T06:38:50.7688410Z         >>> # updating a value when k0 is not in d
2025-09-07T06:38:50.7688490Z         >>> update_in({}, [1, 2, 3], str, default="bar")
2025-09-07T06:38:50.7688550Z         {1: {2: {3: 'bar'}}}
2025-09-07T06:38:50.7688620Z         >>> update_in({1: "foo"}, [2, 3, 4], inc, 0)
2025-09-07T06:38:50.7688680Z         {1: 'foo', 2: {3: {4: 1}}}
2025-09-07T06:38:50.7688720Z         
2025-09-07T06:38:50.7688870Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7688910Z     
2025-09-07T06:38:50.7688960Z       warnings.warn(msg)
2025-09-07T06:38:50.7689000Z     
2025-09-07T06:38:50.7689100Z --- Parse Warning: 99 / 146 ---
2025-09-07T06:38:50.7689820Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=get_in in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=320.
2025-09-07T06:38:50.7689990Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7690100Z     Returns coll[i0][i1]...[iX] where [i0, i1, ..., iX]==keys.
2025-09-07T06:38:50.7690140Z     
2025-09-07T06:38:50.7690250Z         If coll[i0][i1]...[iX] cannot be found, returns ``default``, unless
2025-09-07T06:38:50.7690370Z         ``no_default`` is specified, then it raises KeyError or IndexError.
2025-09-07T06:38:50.7690410Z     
2025-09-07T06:38:50.7690530Z         ``get_in`` is a generalization of ``operator.getitem`` for nested data
2025-09-07T06:38:50.7690610Z         structures such as dictionaries and lists.
2025-09-07T06:38:50.7690650Z     
2025-09-07T06:38:50.7690700Z         >>> transaction = {
2025-09-07T06:38:50.7690760Z         ...     "name": "Alice",
2025-09-07T06:38:50.7690870Z         ...     "purchase": {"items": ["Apple", "Orange"], "costs": [0.50, 1.25]},
2025-09-07T06:38:50.7690940Z         ...     "credit card": "5555-1234-1234-1234",
2025-09-07T06:38:50.7690980Z         ... }
2025-09-07T06:38:50.7691070Z         >>> get_in(["purchase", "items", 0], transaction)
2025-09-07T06:38:50.7691110Z         'Apple'
2025-09-07T06:38:50.7691170Z         >>> get_in(["name"], transaction)
2025-09-07T06:38:50.7691240Z         'Alice'
2025-09-07T06:38:50.7691310Z         >>> get_in(["purchase", "total"], transaction)
2025-09-07T06:38:50.7691400Z         >>> get_in(["purchase", "items", "apple"], transaction)
2025-09-07T06:38:50.7691480Z         >>> get_in(["purchase", "items", 10], transaction)
2025-09-07T06:38:50.7691560Z         >>> get_in(["purchase", "total"], transaction, 0)
2025-09-07T06:38:50.7691620Z         0
2025-09-07T06:38:50.7691690Z         >>> get_in(["y"], {}, no_default=True)
2025-09-07T06:38:50.7691750Z         Traceback (most recent call last):
2025-09-07T06:38:50.7691790Z             ...
2025-09-07T06:38:50.7691840Z         KeyError: 'y'
2025-09-07T06:38:50.7691880Z     
2025-09-07T06:38:50.7691920Z         See Also:
2025-09-07T06:38:50.7691970Z             itertoolz.get
2025-09-07T06:38:50.7692020Z             operator.getitem
2025-09-07T06:38:50.7692060Z         
2025-09-07T06:38:50.7692220Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7692250Z     
2025-09-07T06:38:50.7692310Z       warnings.warn(msg)
2025-09-07T06:38:50.7692340Z     
2025-09-07T06:38:50.7692450Z --- Parse Warning: 100 / 146 ---
2025-09-07T06:38:50.7693170Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=groupby in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/unification/unification_tools.py line=373.
2025-09-07T06:38:50.7693330Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7693390Z     Group a collection by a key function
2025-09-07T06:38:50.7693430Z     
2025-09-07T06:38:50.7693530Z         >>> names = ["Alice", "Bob", "Charlie", "Dan", "Edith", "Frank"]
2025-09-07T06:38:50.7693600Z         >>> groupby(len, names)  # doctest: +SKIP
2025-09-07T06:38:50.7693730Z         {3: ['Bob', 'Dan'], 5: ['Alice', 'Edith', 'Frank'], 7: ['Charlie']}
2025-09-07T06:38:50.7693770Z     
2025-09-07T06:38:50.7693830Z         >>> iseven = lambda x: x % 2 == 0
2025-09-07T06:38:50.7693940Z         >>> groupby(iseven, [1, 2, 3, 4, 5, 6, 7, 8])  # doctest: +SKIP
2025-09-07T06:38:50.7694000Z         {False: [1, 3, 5, 7], True: [2, 4, 6, 8]}
2025-09-07T06:38:50.7694040Z     
2025-09-07T06:38:50.7694130Z         Non-callable keys imply grouping on a member.
2025-09-07T06:38:50.7694170Z     
2025-09-07T06:38:50.7694210Z         >>> groupby(
2025-09-07T06:38:50.7694260Z         ...     "gender",
2025-09-07T06:38:50.7694300Z         ...     [
2025-09-07T06:38:50.7694370Z         ...         {"name": "Alice", "gender": "F"},
2025-09-07T06:38:50.7694470Z         ...         {"name": "Bob", "gender": "M"},
2025-09-07T06:38:50.7694540Z         ...         {"name": "Charlie", "gender": "M"},
2025-09-07T06:38:50.7694580Z         ...     ],
2025-09-07T06:38:50.7694640Z         ... )  # doctest:+SKIP
2025-09-07T06:38:50.7694710Z         {'F': [{'gender': 'F', 'name': 'Alice'}],
2025-09-07T06:38:50.7694770Z          'M': [{'gender': 'M', 'name': 'Bob'},
2025-09-07T06:38:50.7694830Z                {'gender': 'M', 'name': 'Charlie'}]}
2025-09-07T06:38:50.7694870Z     
2025-09-07T06:38:50.7694960Z         Not to be confused with ``itertools.groupby``
2025-09-07T06:38:50.7695000Z     
2025-09-07T06:38:50.7695040Z         See Also:
2025-09-07T06:38:50.7695080Z             countby
2025-09-07T06:38:50.7695120Z         
2025-09-07T06:38:50.7695280Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7695310Z     
2025-09-07T06:38:50.7695360Z       warnings.warn(msg)
2025-09-07T06:38:50.7695400Z     
2025-09-07T06:38:50.7695500Z --- Parse Warning: 101 / 146 ---
2025-09-07T06:38:50.7696160Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SequentialLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=811.
2025-09-07T06:38:50.7696340Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7696530Z     Contains a list of schedulers expected to be called sequentially during the optimization process.
2025-09-07T06:38:50.7696570Z     
2025-09-07T06:38:50.7696820Z         Specifically, the schedulers will be called according to the milestone points, which should provide exact
2025-09-07T06:38:50.7696950Z         intervals by which each scheduler should be called at a given epoch.
2025-09-07T06:38:50.7696990Z     
2025-09-07T06:38:50.7697030Z         Args:
2025-09-07T06:38:50.7697120Z             optimizer (Optimizer): Wrapped optimizer.
2025-09-07T06:38:50.7697200Z             schedulers (list): List of chained schedulers.
2025-09-07T06:38:50.7697330Z             milestones (list): List of integers that reflects milestone points.
2025-09-07T06:38:50.7697440Z             last_epoch (int): The index of last epoch. Default: -1.
2025-09-07T06:38:50.7697480Z     
2025-09-07T06:38:50.7697520Z         Example:
2025-09-07T06:38:50.7697580Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7697670Z             >>> # Assuming optimizer uses lr = 0.05 for all groups
2025-09-07T06:38:50.7697730Z             >>> # lr = 0.005     if epoch == 0
2025-09-07T06:38:50.7697790Z             >>> # lr = 0.005     if epoch == 1
2025-09-07T06:38:50.7697860Z             >>> # lr = 0.005     if epoch == 2
2025-09-07T06:38:50.7697900Z             >>> # ...
2025-09-07T06:38:50.7697960Z             >>> # lr = 0.05      if epoch == 20
2025-09-07T06:38:50.7698020Z             >>> # lr = 0.045     if epoch == 21
2025-09-07T06:38:50.7698080Z             >>> # lr = 0.0405    if epoch == 22
2025-09-07T06:38:50.7698210Z             >>> scheduler1 = ConstantLR(optimizer, factor=0.1, total_iters=20)
2025-09-07T06:38:50.7698320Z             >>> scheduler2 = ExponentialLR(optimizer, gamma=0.9)
2025-09-07T06:38:50.7698390Z             >>> scheduler = SequentialLR(
2025-09-07T06:38:50.7698440Z             ...     optimizer,
2025-09-07T06:38:50.7698520Z             ...     schedulers=[scheduler1, scheduler2],
2025-09-07T06:38:50.7698570Z             ...     milestones=[20],
2025-09-07T06:38:50.7698610Z             ... )
2025-09-07T06:38:50.7698670Z             >>> for epoch in range(100):
2025-09-07T06:38:50.7698720Z             >>>     train(...)
2025-09-07T06:38:50.7698770Z             >>>     validate(...)
2025-09-07T06:38:50.7698830Z             >>>     scheduler.step()
2025-09-07T06:38:50.7698870Z     
2025-09-07T06:38:50.7698980Z         .. image:: ../scripts/lr_scheduler_images/SequentialLR.png
2025-09-07T06:38:50.7699040Z         
2025-09-07T06:38:50.7699190Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7699230Z     
2025-09-07T06:38:50.7699280Z       warnings.warn(msg)
2025-09-07T06:38:50.7699320Z     
2025-09-07T06:38:50.7699420Z --- Parse Warning: 102 / 146 ---
2025-09-07T06:38:50.7700100Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ReduceLROnPlateau in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1236.
2025-09-07T06:38:50.7700250Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:50.7700360Z     Reduce learning rate when a metric has stopped improving.
2025-09-07T06:38:50.7700400Z     
2025-09-07T06:38:50.7700520Z         Models often benefit from reducing the learning rate by a factor
2025-09-07T06:38:50.7700640Z         of 2-10 once learning stagnates. This scheduler reads a metrics
2025-09-07T06:38:50.7700750Z         quantity and if no improvement is seen for a 'patience' number
2025-09-07T06:38:50.7700830Z         of epochs, the learning rate is reduced.
2025-09-07T06:38:50.7700870Z     
2025-09-07T06:38:50.7700910Z         Args:
2025-09-07T06:38:50.7701020Z             optimizer (Optimizer): Wrapped optimizer.
2025-09-07T06:38:50.7701120Z             mode (str): One of `min`, `max`. In `min` mode, lr will
2025-09-07T06:38:50.7701220Z                 be reduced when the quantity monitored has stopped
2025-09-07T06:38:50.7701320Z                 decreasing; in `max` mode it will be reduced when the
2025-09-07T06:38:50.7701480Z                 quantity monitored has stopped increasing. Default: 'min'.
2025-09-07T06:38:50.7701590Z             factor (float): Factor by which the learning rate will be
2025-09-07T06:38:50.7701680Z                 reduced. new_lr = lr * factor. Default: 0.1.
2025-09-07T06:38:50.7701820Z             patience (int): The number of allowed epochs with no improvement after
2025-09-07T06:38:50.7701890Z                 which the learning rate will be reduced.
2025-09-07T06:38:50.7702030Z                 For example, consider the case of having no patience (`patience = 0`).
2025-09-07T06:38:50.7702270Z                 In the first epoch, a baseline is established and is always considered good as there's no previous baseline.
2025-09-07T06:38:50.7702400Z                 In the second epoch, if the performance is worse than the baseline,
2025-09-07T06:38:50.7702490Z                 we have what is considered an intolerable epoch.
2025-09-07T06:38:50.7702650Z                 Since the count of intolerable epochs (1) is greater than the patience level (0),
2025-09-07T06:38:50.7702760Z                 the learning rate is reduced at the end of this epoch.
2025-09-07T06:38:50.7702950Z                 From the third epoch onwards, the learning rate continues to be reduced at the end of each epoch
2025-09-07T06:38:50.7703140Z                 if the performance is worse than the baseline. If the performance improves or remains the same,
2025-09-07T06:38:50.7703210Z                 the learning rate is not adjusted.
2025-09-07T06:38:50.7703260Z                 Default: 10.
2025-09-07T06:38:50.7703400Z             threshold (float): Threshold for measuring the new optimum,
2025-09-07T06:38:50.7703500Z                 to only focus on significant changes. Default: 1e-4.
2025-09-07T06:38:50.7703610Z             threshold_mode (str): One of `rel`, `abs`. In `rel` mode,
2025-09-07T06:38:50.7703710Z                 dynamic_threshold = best * ( 1 + threshold ) in 'max'
2025-09-07T06:38:50.7703800Z                 mode or best * ( 1 - threshold ) in `min` mode.
2025-09-07T06:38:50.7703900Z                 In `abs` mode, dynamic_threshold = best + threshold in
2025-09-07T06:38:50.7704010Z                 `max` mode or best - threshold in `min` mode. Default: 'rel'.
2025-09-07T06:38:50.7704110Z             cooldown (int): Number of epochs to wait before resuming
2025-09-07T06:38:50.7704240Z                 normal operation after lr has been reduced. Default: 0.
2025-09-07T06:38:50.7704350Z             min_lr (float or list): A scalar or a list of scalars. A
2025-09-07T06:38:50.7704440Z                 lower bound on the learning rate of all param groups
2025-09-07T06:38:50.7704530Z                 or each group respectively. Default: 0.
2025-09-07T06:38:50.7704640Z             eps (float): Minimal decay applied to lr. If the difference
2025-09-07T06:38:50.7704750Z                 between new and old lr is smaller than eps, the update is
2025-09-07T06:38:50.7704810Z                 ignored. Default: 1e-8.
2025-09-07T06:38:50.7704850Z     
2025-09-07T06:38:50.7704890Z         Example:
2025-09-07T06:38:50.7704950Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7705080Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-09-07T06:38:50.7705180Z             >>> scheduler = ReduceLROnPlateau(optimizer, "min")
2025-09-07T06:38:50.7705240Z             >>> for epoch in range(10):
2025-09-07T06:38:50.7705290Z             >>>     train(...)
2025-09-07T06:38:50.7705350Z             >>>     val_loss = validate(...)
2025-09-07T06:38:50.7705450Z             >>> # Note that step should be called after validate()
2025-09-07T06:38:50.7705510Z             >>>     scheduler.step(val_loss)
2025-09-07T06:38:50.7705580Z     
2025-09-07T06:38:50.7705700Z         .. image:: ../scripts/lr_scheduler_images/ReduceLROnPlateau.png
2025-09-07T06:38:50.7705740Z         
2025-09-07T06:38:50.7705980Z     Original Error: IndentationError('unexpected indent', ('<source_block>', 8, 4, '    scheduler.step(val_loss)\n', 8, -1))
2025-09-07T06:38:50.7706020Z     
2025-09-07T06:38:50.7706100Z         scheduler.step(val_loss)
2025-09-07T06:38:50.7706140Z        ^
2025-09-07T06:38:50.7706190Z       warnings.warn(msg)
2025-09-07T06:38:50.7706230Z     
2025-09-07T06:38:50.7706330Z --- Parse Warning: 103 / 146 ---
2025-09-07T06:38:50.7706980Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CyclicLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1433.
2025-09-07T06:38:50.7707140Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7707330Z     Sets the learning rate of each parameter group according to cyclical learning rate policy (CLR).
2025-09-07T06:38:50.7707370Z     
2025-09-07T06:38:50.7707540Z         The policy cycles the learning rate between two boundaries with a constant frequency,
2025-09-07T06:38:50.7707700Z         as detailed in the paper `Cyclical Learning Rates for Training Neural Networks`_.
2025-09-07T06:38:50.7707840Z         The distance between the two boundaries can be scaled on a per-iteration
2025-09-07T06:38:50.7707890Z         or per-cycle basis.
2025-09-07T06:38:50.7707930Z     
2025-09-07T06:38:50.7708080Z         Cyclical learning rate policy changes the learning rate after every batch.
2025-09-07T06:38:50.7708190Z         `step` should be called after a batch has been used for training.
2025-09-07T06:38:50.7708230Z     
2025-09-07T06:38:50.7708400Z         This class has three built-in policies, as put forth in the paper:
2025-09-07T06:38:50.7708450Z     
2025-09-07T06:38:50.7708570Z         * "triangular": A basic triangular cycle without amplitude scaling.
2025-09-07T06:38:50.7708750Z         * "triangular2": A basic triangular cycle that scales initial amplitude by half each cycle.
2025-09-07T06:38:50.7708950Z         * "exp_range": A cycle that scales initial amplitude by :math:`\text{gamma}^{\text{cycle iterations}}`
2025-09-07T06:38:50.7709010Z           at each cycle iteration.
2025-09-07T06:38:50.7709050Z     
2025-09-07T06:38:50.7709190Z         This implementation was adapted from the github repo: `bckenstler/CLR`_
2025-09-07T06:38:50.7709230Z     
2025-09-07T06:38:50.7709290Z         Args:
2025-09-07T06:38:50.7709370Z             optimizer (Optimizer): Wrapped optimizer.
2025-09-07T06:38:50.7709480Z             base_lr (float or list): Initial learning rate which is the
2025-09-07T06:38:50.7709590Z                 lower boundary in the cycle for each parameter group.
2025-09-07T06:38:50.7709710Z             max_lr (float or list): Upper learning rate boundaries in the cycle
2025-09-07T06:38:50.7709790Z                 for each parameter group. Functionally,
2025-09-07T06:38:50.7709890Z                 it defines the cycle amplitude (max_lr - base_lr).
2025-09-07T06:38:50.7709970Z                 The lr at any cycle is the sum of base_lr
2025-09-07T06:38:50.7710050Z                 and some scaling of the amplitude; therefore
2025-09-07T06:38:50.7710140Z                 max_lr may not actually be reached depending on
2025-09-07T06:38:50.7710200Z                 scaling function.
2025-09-07T06:38:50.7710300Z             step_size_up (int): Number of training iterations in the
2025-09-07T06:38:50.7710380Z                 increasing half of a cycle. Default: 2000
2025-09-07T06:38:50.7710490Z             step_size_down (int): Number of training iterations in the
2025-09-07T06:38:50.7710590Z                 decreasing half of a cycle. If step_size_down is None,
2025-09-07T06:38:50.7710670Z                 it is set to step_size_up. Default: None
2025-09-07T06:38:50.7710790Z             mode (str): One of {triangular, triangular2, exp_range}.
2025-09-07T06:38:50.7710880Z                 Values correspond to policies detailed above.
2025-09-07T06:38:50.7710970Z                 If scale_fn is not None, this argument is ignored.
2025-09-07T06:38:50.7711030Z                 Default: 'triangular'
2025-09-07T06:38:50.7711150Z             gamma (float): Constant in 'exp_range' scaling function:
2025-09-07T06:38:50.7711210Z                 gamma**(cycle iterations)
2025-09-07T06:38:50.7711260Z                 Default: 1.0
2025-09-07T06:38:50.7711380Z             scale_fn (function): Custom scaling policy defined by a single
2025-09-07T06:38:50.7711450Z                 argument lambda function, where
2025-09-07T06:38:50.7711520Z                 0 <= scale_fn(x) <= 1 for all x >= 0.
2025-09-07T06:38:50.7711600Z                 If specified, then 'mode' is ignored.
2025-09-07T06:38:50.7711650Z                 Default: None
2025-09-07T06:38:50.7711730Z             scale_mode (str): {'cycle', 'iterations'}.
2025-09-07T06:38:50.7711800Z                 Defines whether scale_fn is evaluated on
2025-09-07T06:38:50.7711880Z                 cycle number or cycle iterations (training
2025-09-07T06:38:50.7711950Z                 iterations since start of cycle).
2025-09-07T06:38:50.7712010Z                 Default: 'cycle'
2025-09-07T06:38:50.7712130Z             cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-09-07T06:38:50.7712240Z                 to learning rate between 'base_momentum' and 'max_momentum'.
2025-09-07T06:38:50.7712290Z                 Default: True
2025-09-07T06:38:50.7712430Z             base_momentum (float or list): Lower momentum boundaries in the cycle
2025-09-07T06:38:50.7712550Z                 for each parameter group. Note that momentum is cycled inversely
2025-09-07T06:38:50.7712710Z                 to learning rate; at the peak of a cycle, momentum is
2025-09-07T06:38:50.7712800Z                 'base_momentum' and learning rate is 'max_lr'.
2025-09-07T06:38:50.7712850Z                 Default: 0.8
2025-09-07T06:38:50.7712980Z             max_momentum (float or list): Upper momentum boundaries in the cycle
2025-09-07T06:38:50.7713060Z                 for each parameter group. Functionally,
2025-09-07T06:38:50.7713180Z                 it defines the cycle amplitude (max_momentum - base_momentum).
2025-09-07T06:38:50.7713290Z                 The momentum at any cycle is the difference of max_momentum
2025-09-07T06:38:50.7713370Z                 and some scaling of the amplitude; therefore
2025-09-07T06:38:50.7713480Z                 base_momentum may not actually be reached depending on
2025-09-07T06:38:50.7713620Z                 scaling function. Note that momentum is cycled inversely
2025-09-07T06:38:50.7713750Z                 to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-09-07T06:38:50.7713810Z                 and learning rate is 'base_lr'
2025-09-07T06:38:50.7713870Z                 Default: 0.9
2025-09-07T06:38:50.7714000Z             last_epoch (int): The index of the last batch. This parameter is used when
2025-09-07T06:38:50.7714130Z                 resuming a training job. Since `step()` should be invoked after each
2025-09-07T06:38:50.7714260Z                 batch instead of after each epoch, this number represents the total
2025-09-07T06:38:50.7714390Z                 number of *batches* computed, not the total number of epochs computed.
2025-09-07T06:38:50.7714510Z                 When last_epoch=-1, the schedule is started from the beginning.
2025-09-07T06:38:50.7714560Z                 Default: -1
2025-09-07T06:38:50.7714610Z     
2025-09-07T06:38:50.7714650Z         Example:
2025-09-07T06:38:50.7714700Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7714840Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.1, momentum=0.9)
2025-09-07T06:38:50.7714940Z             >>> scheduler = torch.optim.lr_scheduler.CyclicLR(
2025-09-07T06:38:50.7715000Z             ...     optimizer,
2025-09-07T06:38:50.7715060Z             ...     base_lr=0.01,
2025-09-07T06:38:50.7715110Z             ...     max_lr=0.1,
2025-09-07T06:38:50.7715160Z             ...     step_size_up=10,
2025-09-07T06:38:50.7715200Z             ... )
2025-09-07T06:38:50.7715290Z             >>> data_loader = torch.utils.data.DataLoader(...)
2025-09-07T06:38:50.7715380Z             >>> for epoch in range(10):
2025-09-07T06:38:50.7715440Z             >>>     for batch in data_loader:
2025-09-07T06:38:50.7715500Z             >>>         train_batch(...)
2025-09-07T06:38:50.7715560Z             >>>         scheduler.step()
2025-09-07T06:38:50.7715600Z     
2025-09-07T06:38:50.7715690Z         .. image:: ../scripts/lr_scheduler_images/CyclicLR.png
2025-09-07T06:38:50.7715730Z     
2025-09-07T06:38:50.7715920Z         .. _Cyclical Learning Rates for Training Neural Networks: https://arxiv.org/abs/1506.01186
2025-09-07T06:38:50.7716020Z         .. _bckenstler/CLR: https://github.com/bckenstler/CLR
2025-09-07T06:38:50.7716060Z         
2025-09-07T06:38:50.7716210Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7716250Z     
2025-09-07T06:38:50.7716300Z       warnings.warn(msg)
2025-09-07T06:38:50.7716340Z     
2025-09-07T06:38:50.7716440Z --- Parse Warning: 104 / 146 ---
2025-09-07T06:38:50.7717150Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CosineAnnealingWarmRestarts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1725.
2025-09-07T06:38:50.7717310Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7717460Z     Set the learning rate of each parameter group using a cosine annealing schedule.
2025-09-07T06:38:50.7717520Z     
2025-09-07T06:38:50.7717640Z         The :math:`\eta_{max}` is set to the initial lr, :math:`T_{cur}`
2025-09-07T06:38:50.7717780Z         is the number of epochs since the last restart and :math:`T_{i}` is the number
2025-09-07T06:38:50.7717870Z         of epochs between two warm restarts in SGDR:
2025-09-07T06:38:50.7717900Z     
2025-09-07T06:38:50.7717950Z         .. math::
2025-09-07T06:38:50.7718060Z             \eta_t = \eta_{min} + \frac{1}{2}(\eta_{max} - \eta_{min})\left(1 +
2025-09-07T06:38:50.7718150Z             \cos\left(\frac{T_{cur}}{T_{i}}\pi\right)\right)
2025-09-07T06:38:50.7718190Z     
2025-09-07T06:38:50.7718290Z         When :math:`T_{cur}=T_{i}`, set :math:`\eta_t = \eta_{min}`.
2025-09-07T06:38:50.7718430Z         When :math:`T_{cur}=0` after restart, set :math:`\eta_t=\eta_{max}`.
2025-09-07T06:38:50.7718470Z     
2025-09-07T06:38:50.7718530Z         It has been proposed in
2025-09-07T06:38:50.7718630Z         `SGDR: Stochastic Gradient Descent with Warm Restarts`_.
2025-09-07T06:38:50.7718670Z     
2025-09-07T06:38:50.7718710Z         Args:
2025-09-07T06:38:50.7718800Z             optimizer (Optimizer): Wrapped optimizer.
2025-09-07T06:38:50.7718890Z             T_0 (int): Number of iterations until the first restart.
2025-09-07T06:38:50.7719070Z             T_mult (int, optional): A factor by which :math:`T_{i}` increases after a restart. Default: 1.
2025-09-07T06:38:50.7719190Z             eta_min (float, optional): Minimum learning rate. Default: 0.
2025-09-07T06:38:50.7719320Z             last_epoch (int, optional): The index of the last epoch. Default: -1.
2025-09-07T06:38:50.7719360Z     
2025-09-07T06:38:50.7719460Z         .. _SGDR\: Stochastic Gradient Descent with Warm Restarts:
2025-09-07T06:38:50.7719530Z             https://arxiv.org/abs/1608.03983
2025-09-07T06:38:50.7719570Z     
2025-09-07T06:38:50.7719610Z         Example:
2025-09-07T06:38:50.7719670Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7719780Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=0.05)
2025-09-07T06:38:50.7719920Z             >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingWarmRestarts(
2025-09-07T06:38:50.7720030Z             ...     optimizer, T_0=20
2025-09-07T06:38:50.7720070Z             ... )
2025-09-07T06:38:50.7720130Z             >>> for epoch in range(100):
2025-09-07T06:38:50.7720180Z             >>>     train(...)
2025-09-07T06:38:50.7720230Z             >>>     validate(...)
2025-09-07T06:38:50.7720310Z             >>>     scheduler.step()
2025-09-07T06:38:50.7720350Z     
2025-09-07T06:38:50.7720490Z         .. image:: ../scripts/lr_scheduler_images/CosineAnnealingWarmRestarts.png
2025-09-07T06:38:50.7720530Z         
2025-09-07T06:38:50.7720680Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7720720Z     
2025-09-07T06:38:50.7720770Z       warnings.warn(msg)
2025-09-07T06:38:50.7720810Z     
2025-09-07T06:38:50.7720910Z --- Parse Warning: 105 / 146 ---
2025-09-07T06:38:50.7721570Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=OneCycleLR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/lr_scheduler.py line=1875.
2025-09-07T06:38:50.7724320Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7724520Z     Sets the learning rate of each parameter group according to the 1cycle learning rate policy.
2025-09-07T06:38:50.7724560Z     
2025-09-07T06:38:50.7724730Z         The 1cycle policy anneals the learning rate from an initial learning rate to some maximum
2025-09-07T06:38:50.7724910Z         learning rate and then from that maximum learning rate to some minimum learning rate much
2025-09-07T06:38:50.7724980Z         lower than the initial learning rate.
2025-09-07T06:38:50.7725120Z         This policy was initially described in the paper `Super-Convergence:
2025-09-07T06:38:50.7725330Z         Very Fast Training of Neural Networks Using Large Learning Rates`_.
2025-09-07T06:38:50.7725370Z     
2025-09-07T06:38:50.7725520Z         The 1cycle learning rate policy changes the learning rate after every batch.
2025-09-07T06:38:50.7725640Z         `step` should be called after a batch has been used for training.
2025-09-07T06:38:50.7725680Z     
2025-09-07T06:38:50.7725740Z         This scheduler is not chainable.
2025-09-07T06:38:50.7725780Z     
2025-09-07T06:38:50.7725920Z         Note also that the total number of steps in the cycle can be determined in one
2025-09-07T06:38:50.7726010Z         of two ways (listed in order of precedence):
2025-09-07T06:38:50.7726050Z     
2025-09-07T06:38:50.7726130Z         #. A value for total_steps is explicitly provided.
2025-09-07T06:38:50.7726270Z         #. A number of epochs (epochs) and a number of steps per epoch
2025-09-07T06:38:50.7726340Z            (steps_per_epoch) are provided.
2025-09-07T06:38:50.7726440Z            In this case, the number of total steps is inferred by
2025-09-07T06:38:50.7726510Z            total_steps = epochs * steps_per_epoch
2025-09-07T06:38:50.7726550Z     
2025-09-07T06:38:50.7726700Z         You must either provide a value for total_steps or provide a value for both
2025-09-07T06:38:50.7726760Z         epochs and steps_per_epoch.
2025-09-07T06:38:50.7726800Z     
2025-09-07T06:38:50.7726980Z         The default behaviour of this scheduler follows the fastai implementation of 1cycle, which
2025-09-07T06:38:50.7727160Z         claims that "unpublished work has shown even better results by using only two phases". To
2025-09-07T06:38:50.7727310Z         mimic the behaviour of the original paper instead, set ``three_phase=True``.
2025-09-07T06:38:50.7727350Z     
2025-09-07T06:38:50.7727390Z         Args:
2025-09-07T06:38:50.7727480Z             optimizer (Optimizer): Wrapped optimizer.
2025-09-07T06:38:50.7727600Z             max_lr (float or list): Upper learning rate boundaries in the cycle
2025-09-07T06:38:50.7727660Z                 for each parameter group.
2025-09-07T06:38:50.7727820Z             total_steps (int): The total number of steps in the cycle. Note that
2025-09-07T06:38:50.7727950Z                 if a value is not provided here, then it must be inferred by providing
2025-09-07T06:38:50.7728030Z                 a value for epochs and steps_per_epoch.
2025-09-07T06:38:50.7728080Z                 Default: None
2025-09-07T06:38:50.7728220Z             epochs (int): The number of epochs to train for. This is used along
2025-09-07T06:38:50.7728380Z                 with steps_per_epoch in order to infer the total number of steps in the cycle
2025-09-07T06:38:50.7728460Z                 if a value for total_steps is not provided.
2025-09-07T06:38:50.7728510Z                 Default: None
2025-09-07T06:38:50.7728650Z             steps_per_epoch (int): The number of steps per epoch to train for. This is
2025-09-07T06:38:50.7728790Z                 used along with epochs in order to infer the total number of steps in the
2025-09-07T06:38:50.7728890Z                 cycle if a value for total_steps is not provided.
2025-09-07T06:38:50.7728940Z                 Default: None
2025-09-07T06:38:50.7729080Z             pct_start (float): The percentage of the cycle (in number of steps) spent
2025-09-07T06:38:50.7729140Z                 increasing the learning rate.
2025-09-07T06:38:50.7729190Z                 Default: 0.3
2025-09-07T06:38:50.7729270Z             anneal_strategy (str): {'cos', 'linear'}
2025-09-07T06:38:50.7729420Z                 Specifies the annealing strategy: "cos" for cosine annealing, "linear" for
2025-09-07T06:38:50.7729470Z                 linear annealing.
2025-09-07T06:38:50.7729520Z                 Default: 'cos'
2025-09-07T06:38:50.7729650Z             cycle_momentum (bool): If ``True``, momentum is cycled inversely
2025-09-07T06:38:50.7729760Z                 to learning rate between 'base_momentum' and 'max_momentum'.
2025-09-07T06:38:50.7729810Z                 Default: True
2025-09-07T06:38:50.7729960Z             base_momentum (float or list): Lower momentum boundaries in the cycle
2025-09-07T06:38:50.7730080Z                 for each parameter group. Note that momentum is cycled inversely
2025-09-07T06:38:50.7730180Z                 to learning rate; at the peak of a cycle, momentum is
2025-09-07T06:38:50.7730270Z                 'base_momentum' and learning rate is 'max_lr'.
2025-09-07T06:38:50.7730320Z                 Default: 0.85
2025-09-07T06:38:50.7730450Z             max_momentum (float or list): Upper momentum boundaries in the cycle
2025-09-07T06:38:50.7730530Z                 for each parameter group. Functionally,
2025-09-07T06:38:50.7730650Z                 it defines the cycle amplitude (max_momentum - base_momentum).
2025-09-07T06:38:50.7730750Z                 Note that momentum is cycled inversely
2025-09-07T06:38:50.7730870Z                 to learning rate; at the start of a cycle, momentum is 'max_momentum'
2025-09-07T06:38:50.7730940Z                 and learning rate is 'base_lr'
2025-09-07T06:38:50.7730990Z                 Default: 0.95
2025-09-07T06:38:50.7731100Z             div_factor (float): Determines the initial learning rate via
2025-09-07T06:38:50.7731170Z                 initial_lr = max_lr/div_factor
2025-09-07T06:38:50.7731220Z                 Default: 25
2025-09-07T06:38:50.7731340Z             final_div_factor (float): Determines the minimum learning rate via
2025-09-07T06:38:50.7731420Z                 min_lr = initial_lr/final_div_factor
2025-09-07T06:38:50.7731470Z                 Default: 1e4
2025-09-07T06:38:50.7731620Z             three_phase (bool): If ``True``, use a third phase of the schedule to annihilate the
2025-09-07T06:38:50.7731770Z                 learning rate according to 'final_div_factor' instead of modifying the second
2025-09-07T06:38:50.7731920Z                 phase (the first two phases will be symmetrical about the step indicated by
2025-09-07T06:38:50.7731970Z                 'pct_start').
2025-09-07T06:38:50.7732110Z             last_epoch (int): The index of the last batch. This parameter is used when
2025-09-07T06:38:50.7732260Z                 resuming a training job. Since `step()` should be invoked after each
2025-09-07T06:38:50.7732390Z                 batch instead of after each epoch, this number represents the total
2025-09-07T06:38:50.7732520Z                 number of *batches* computed, not the total number of epochs computed.
2025-09-07T06:38:50.7732660Z                 When last_epoch=-1, the schedule is started from the beginning.
2025-09-07T06:38:50.7732710Z                 Default: -1
2025-09-07T06:38:50.7732750Z     
2025-09-07T06:38:50.7732800Z         Example:
2025-09-07T06:38:50.7732850Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7732950Z             >>> data_loader = torch.utils.data.DataLoader(...)
2025-09-07T06:38:50.7733090Z             >>> optimizer = torch.optim.SGD(model.parameters(), lr=1e-4, momentum=0.9)
2025-09-07T06:38:50.7733190Z             >>> scheduler = torch.optim.lr_scheduler.OneCycleLR(
2025-09-07T06:38:50.7733320Z             ...     optimizer, max_lr=0.01, steps_per_epoch=len(data_loader), epochs=10
2025-09-07T06:38:50.7733360Z             ... )
2025-09-07T06:38:50.7733420Z             >>> for epoch in range(10):
2025-09-07T06:38:50.7733490Z             >>>     for batch in data_loader:
2025-09-07T06:38:50.7733540Z             >>>         train_batch(...)
2025-09-07T06:38:50.7733600Z             >>>         optimizer.step()
2025-09-07T06:38:50.7733660Z             >>>         scheduler.step()
2025-09-07T06:38:50.7733700Z     
2025-09-07T06:38:50.7733800Z         .. image:: ../scripts/lr_scheduler_images/OneCycleLR.png
2025-09-07T06:38:50.7733840Z     
2025-09-07T06:38:50.7734010Z         .. _Super-Convergence\: Very Fast Training of Neural Networks Using Large Learning Rates:
2025-09-07T06:38:50.7734090Z             https://arxiv.org/abs/1708.07120
2025-09-07T06:38:50.7734120Z         
2025-09-07T06:38:50.7734300Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7734350Z     
2025-09-07T06:38:50.7734400Z       warnings.warn(msg)
2025-09-07T06:38:50.7734440Z     
2025-09-07T06:38:50.7734550Z --- Parse Warning: 106 / 146 ---
2025-09-07T06:38:50.7735210Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=AveragedModel in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/swa_utils.py line=120.
2025-09-07T06:38:50.7735370Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7735580Z     Implements averaged model for Stochastic Weight Averaging (SWA) and Exponential Moving Average (EMA).
2025-09-07T06:38:50.7735650Z     
2025-09-07T06:38:50.7735800Z         Stochastic Weight Averaging was proposed in `Averaging Weights Leads to
2025-09-07T06:38:50.7735930Z         Wider Optima and Better Generalization`_ by Pavel Izmailov, Dmitrii
2025-09-07T06:38:50.7736070Z         Podoprikhin, Timur Garipov, Dmitry Vetrov and Andrew Gordon Wilson
2025-09-07T06:38:50.7736110Z         (UAI 2018).
2025-09-07T06:38:50.7736150Z     
2025-09-07T06:38:50.7736280Z         Exponential Moving Average is a variation of `Polyak averaging`_,
2025-09-07T06:38:50.7736420Z         but using exponential weights instead of equal weights across iterations.
2025-09-07T06:38:50.7736460Z     
2025-09-07T06:38:50.7736610Z         AveragedModel class creates a copy of the provided module :attr:`model`
2025-09-07T06:38:50.7736740Z         on the device :attr:`device` and allows to compute running averages of the
2025-09-07T06:38:50.7736800Z         parameters of the :attr:`model`.
2025-09-07T06:38:50.7736840Z     
2025-09-07T06:38:50.7736880Z         Args:
2025-09-07T06:38:50.7736980Z             model (torch.nn.Module): model to use with SWA/EMA
2025-09-07T06:38:50.7737120Z             device (torch.device, optional): if provided, the averaged model will be
2025-09-07T06:38:50.7737180Z                 stored on the :attr:`device`
2025-09-07T06:38:50.7737330Z             avg_fn (function, optional): the averaging function used to update
2025-09-07T06:38:50.7737450Z                 parameters; the function must take in the current value of the
2025-09-07T06:38:50.7737580Z                 :class:`AveragedModel` parameter, the current value of :attr:`model`
2025-09-07T06:38:50.7737730Z                 parameter, and the number of models already averaged; if None,
2025-09-07T06:38:50.7737830Z                 an equally weighted average is used (default: None)
2025-09-07T06:38:50.7737970Z             multi_avg_fn (function, optional): the averaging function used to update
2025-09-07T06:38:50.7738110Z                 parameters inplace; the function must take in the current values of the
2025-09-07T06:38:50.7738270Z                 :class:`AveragedModel` parameters as a list, the current values of :attr:`model`
2025-09-07T06:38:50.7738410Z                 parameters as a list, and the number of models already averaged; if None,
2025-09-07T06:38:50.7738510Z                 an equally weighted average is used (default: None)
2025-09-07T06:38:50.7738640Z             use_buffers (bool): if ``True``, it will compute running averages for
2025-09-07T06:38:50.7738770Z                 both the parameters and the buffers of the model. (default: ``False``)
2025-09-07T06:38:50.7738810Z     
2025-09-07T06:38:50.7738850Z         Example:
2025-09-07T06:38:50.7738930Z             >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:50.7739010Z             >>> loader, optimizer, model, loss_fn = ...
2025-09-07T06:38:50.7739120Z             >>> swa_model = torch.optim.swa_utils.AveragedModel(model)
2025-09-07T06:38:50.7739250Z             >>> scheduler = torch.optim.lr_scheduler.CosineAnnealingLR(optimizer,
2025-09-07T06:38:50.7739320Z             >>>                                     T_max=300)
2025-09-07T06:38:50.7739370Z             >>> swa_start = 160
2025-09-07T06:38:50.7739490Z             >>> swa_scheduler = SWALR(optimizer, swa_lr=0.05)
2025-09-07T06:38:50.7739540Z             >>> for i in range(300):
2025-09-07T06:38:50.7739610Z             >>>      for input, target in loader:
2025-09-07T06:38:50.7739680Z             >>>          optimizer.zero_grad()
2025-09-07T06:38:50.7739770Z             >>>          loss_fn(model(input), target).backward()
2025-09-07T06:38:50.7739820Z             >>>          optimizer.step()
2025-09-07T06:38:50.7739880Z             >>>      if i > swa_start:
2025-09-07T06:38:50.7739960Z             >>>          swa_model.update_parameters(model)
2025-09-07T06:38:50.7740030Z             >>>          swa_scheduler.step()
2025-09-07T06:38:50.7740070Z             >>>      else:
2025-09-07T06:38:50.7740150Z             >>>          scheduler.step()
2025-09-07T06:38:50.7740190Z             >>>
2025-09-07T06:38:50.7740290Z             >>> # Update bn statistics for the swa_model at the end
2025-09-07T06:38:50.7740390Z             >>> torch.optim.swa_utils.update_bn(loader, swa_model)
2025-09-07T06:38:50.7740430Z     
2025-09-07T06:38:50.7740610Z         You can also use custom averaging functions with the `avg_fn` or `multi_avg_fn` parameters.
2025-09-07T06:38:50.7740730Z         If no averaging function is provided, the default is to compute
2025-09-07T06:38:50.7740820Z         equally-weighted average of the weights (SWA).
2025-09-07T06:38:50.7740860Z     
2025-09-07T06:38:50.7740900Z         Example:
2025-09-07T06:38:50.7740980Z             >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:50.7741110Z             >>> # Compute exponential moving averages of the weights and buffers
2025-09-07T06:38:50.7741220Z             >>> ema_model = torch.optim.swa_utils.AveragedModel(model,
2025-09-07T06:38:50.7741350Z             >>>             torch.optim.swa_utils.get_ema_multi_avg_fn(0.9), use_buffers=True)
2025-09-07T06:38:50.7741390Z     
2025-09-07T06:38:50.7741430Z         .. note::
2025-09-07T06:38:50.7741570Z             When using SWA/EMA with models containing Batch Normalization you may
2025-09-07T06:38:50.7741690Z             need to update the activation statistics for Batch Normalization.
2025-09-07T06:38:50.7741870Z             This can be done either by using the :meth:`torch.optim.swa_utils.update_bn`
2025-09-07T06:38:50.7742000Z             or by setting :attr:`use_buffers` to `True`. The first approach updates the
2025-09-07T06:38:50.7742170Z             statistics in a post-training step by passing data through the model. The
2025-09-07T06:38:50.7742310Z             second does it during the parameter update phase by averaging all buffers.
2025-09-07T06:38:50.7742460Z             Empirical evidence has shown that updating the statistics in normalization
2025-09-07T06:38:50.7742590Z             layers increases accuracy, but you may wish to empirically test which
2025-09-07T06:38:50.7742690Z             approach yields the best results in your problem.
2025-09-07T06:38:50.7742730Z     
2025-09-07T06:38:50.7742780Z         .. note::
2025-09-07T06:38:50.7742940Z             :attr:`avg_fn` and `multi_avg_fn` are not saved in the :meth:`state_dict` of the model.
2025-09-07T06:38:50.7742980Z     
2025-09-07T06:38:50.7743030Z         .. note::
2025-09-07T06:38:50.7743150Z             When :meth:`update_parameters` is called for the first time (i.e.
2025-09-07T06:38:50.7743260Z             :attr:`n_averaged` is `0`) the parameters of `model` are copied
2025-09-07T06:38:50.7743390Z             to the parameters of :class:`AveragedModel`. For every subsequent
2025-09-07T06:38:50.7743500Z             call of :meth:`update_parameters` the function `avg_fn` is used
2025-09-07T06:38:50.7743570Z             to update the parameters.
2025-09-07T06:38:50.7743610Z     
2025-09-07T06:38:50.7743740Z         .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-09-07T06:38:50.7743810Z             https://arxiv.org/abs/1803.05407
2025-09-07T06:38:50.7743960Z         .. _There Are Many Consistent Explanations of Unlabeled Data: Why You Should
2025-09-07T06:38:50.7744050Z             Average:
2025-09-07T06:38:50.7744120Z             https://arxiv.org/abs/1806.05594
2025-09-07T06:38:50.7744240Z         .. _SWALP: Stochastic Weight Averaging in Low-Precision Training:
2025-09-07T06:38:50.7744310Z             https://arxiv.org/abs/1904.11943
2025-09-07T06:38:50.7744440Z         .. _Stochastic Weight Averaging in Parallel: Large-Batch Training That
2025-09-07T06:38:50.7744500Z             Generalizes Well:
2025-09-07T06:38:50.7744560Z             https://arxiv.org/abs/2001.02312
2025-09-07T06:38:50.7744620Z         .. _Polyak averaging:
2025-09-07T06:38:50.7744720Z             https://paperswithcode.com/method/polyak-averaging
2025-09-07T06:38:50.7744760Z         
2025-09-07T06:38:50.7744930Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7744970Z     
2025-09-07T06:38:50.7745030Z       warnings.warn(msg)
2025-09-07T06:38:50.7745070Z     
2025-09-07T06:38:50.7745170Z --- Parse Warning: 107 / 146 ---
2025-09-07T06:38:50.7745800Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SWALR in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/swa_utils.py line=375.
2025-09-07T06:38:50.7745960Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7746090Z     Anneals the learning rate in each parameter group to a fixed value.
2025-09-07T06:38:50.7746130Z     
2025-09-07T06:38:50.7746270Z         This learning rate scheduler is meant to be used with Stochastic Weight
2025-09-07T06:38:50.7746400Z         Averaging (SWA) method (see `torch.optim.swa_utils.AveragedModel`).
2025-09-07T06:38:50.7746440Z     
2025-09-07T06:38:50.7746480Z         Args:
2025-09-07T06:38:50.7746590Z             optimizer (torch.optim.Optimizer): wrapped optimizer
2025-09-07T06:38:50.7746710Z             swa_lrs (float or list): the learning rate value for all param groups
2025-09-07T06:38:50.7746790Z                 together or separately for each group.
2025-09-07T06:38:50.7746940Z             annealing_epochs (int): number of epochs in the annealing phase
2025-09-07T06:38:50.7747000Z                 (default: 10)
2025-09-07T06:38:50.7747120Z             annealing_strategy (str): "cos" or "linear"; specifies the annealing
2025-09-07T06:38:50.7747270Z                 strategy: "cos" for cosine annealing, "linear" for linear annealing
2025-09-07T06:38:50.7747320Z                 (default: "cos")
2025-09-07T06:38:50.7747440Z             last_epoch (int): the index of the last epoch (default: -1)
2025-09-07T06:38:50.7747480Z     
2025-09-07T06:38:50.7747590Z         The :class:`SWALR` scheduler can be used together with other
2025-09-07T06:38:50.7747720Z         schedulers to switch to a constant learning rate late in the training
2025-09-07T06:38:50.7747770Z         as in the example below.
2025-09-07T06:38:50.7747820Z     
2025-09-07T06:38:50.7747860Z         Example:
2025-09-07T06:38:50.7747940Z             >>> # xdoctest: +SKIP("Undefined variables")
2025-09-07T06:38:50.7748010Z             >>> loader, optimizer, model = ...
2025-09-07T06:38:50.7748070Z             >>> lr_lambda = lambda epoch: 0.9
2025-09-07T06:38:50.7748210Z             >>> scheduler = torch.optim.lr_scheduler.MultiplicativeLR(optimizer,
2025-09-07T06:38:50.7748270Z             >>>        lr_lambda=lr_lambda)
2025-09-07T06:38:50.7748380Z             >>> swa_scheduler = torch.optim.swa_utils.SWALR(optimizer,
2025-09-07T06:38:50.7748480Z             >>>        anneal_strategy="linear", anneal_epochs=20, swa_lr=0.05)
2025-09-07T06:38:50.7748540Z             >>> swa_start = 160
2025-09-07T06:38:50.7748590Z             >>> for i in range(300):
2025-09-07T06:38:50.7748670Z             >>>      for input, target in loader:
2025-09-07T06:38:50.7748730Z             >>>          optimizer.zero_grad()
2025-09-07T06:38:50.7748840Z             >>>          loss_fn(model(input), target).backward()
2025-09-07T06:38:50.7748900Z             >>>          optimizer.step()
2025-09-07T06:38:50.7748950Z             >>>      if i > swa_start:
2025-09-07T06:38:50.7749010Z             >>>          swa_scheduler.step()
2025-09-07T06:38:50.7749060Z             >>>      else:
2025-09-07T06:38:50.7749120Z             >>>          scheduler.step()
2025-09-07T06:38:50.7749160Z     
2025-09-07T06:38:50.7749300Z         .. _Averaging Weights Leads to Wider Optima and Better Generalization:
2025-09-07T06:38:50.7749360Z             https://arxiv.org/abs/1803.05407
2025-09-07T06:38:50.7749400Z         
2025-09-07T06:38:50.7749550Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7749590Z     
2025-09-07T06:38:50.7749660Z       warnings.warn(msg)
2025-09-07T06:38:50.7749700Z     
2025-09-07T06:38:50.7749800Z --- Parse Warning: 108 / 146 ---
2025-09-07T06:38:50.7750480Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Optimizer.load_state_dict in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/optim/optimizer.py line=868.
2025-09-07T06:38:50.7750640Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7750690Z     Load the optimizer state.
2025-09-07T06:38:50.7750730Z     
2025-09-07T06:38:50.7750770Z             Args:
2025-09-07T06:38:50.7750890Z                 state_dict (dict): optimizer state. Should be an object returned
2025-09-07T06:38:50.7750970Z                     from a call to :meth:`state_dict`.
2025-09-07T06:38:50.7751010Z     
2025-09-07T06:38:50.7751050Z             .. warning::
2025-09-07T06:38:50.7751260Z                 Make sure this method is called after initializing :class:`torch.optim.lr_scheduler.LRScheduler`,
2025-09-07T06:38:50.7751390Z                 as calling it beforehand will overwrite the loaded learning rates.
2025-09-07T06:38:50.7751430Z     
2025-09-07T06:38:50.7751470Z             .. note::
2025-09-07T06:38:50.7751680Z                 The names of the parameters (if they exist under the "param_names" key of each param group
2025-09-07T06:38:50.7751790Z                 in :meth:`state_dict`) will not affect the loading process.
2025-09-07T06:38:50.7751980Z                 To use the parameters' names for custom cases (such as when the parameters in the loaded state dict
2025-09-07T06:38:50.7752090Z                 differ from those initialized in the optimizer),
2025-09-07T06:38:50.7752280Z                 a custom ``register_load_state_dict_pre_hook`` should be implemented to adapt the loaded dict
2025-09-07T06:38:50.7752340Z                 accordingly.
2025-09-07T06:38:50.7752520Z                 If ``param_names`` exist in loaded state dict ``param_groups`` they will be saved and override
2025-09-07T06:38:50.7752710Z                 the current names, if present, in the optimizer state. If they do not exist in loaded state dict,
2025-09-07T06:38:50.7752810Z                 the optimizer ``param_names`` will remain unchanged.
2025-09-07T06:38:50.7752850Z     
2025-09-07T06:38:50.7752890Z             Example:
2025-09-07T06:38:50.7752950Z                 >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7753020Z                 >>> model = torch.nn.Linear(10, 10)
2025-09-07T06:38:50.7753120Z                 >>> optim = torch.optim.SGD(model.parameters(), lr=3e-4)
2025-09-07T06:38:50.7753230Z                 >>> scheduler1 = torch.optim.lr_scheduler.LinearLR(
2025-09-07T06:38:50.7753270Z                 ...     optim,
2025-09-07T06:38:50.7753330Z                 ...     start_factor=0.1,
2025-09-07T06:38:50.7753390Z                 ...     end_factor=1,
2025-09-07T06:38:50.7753440Z                 ...     total_iters=20,
2025-09-07T06:38:50.7753480Z                 ... )
2025-09-07T06:38:50.7753600Z                 >>> scheduler2 = torch.optim.lr_scheduler.CosineAnnealingLR(
2025-09-07T06:38:50.7753680Z                 ...     optim,
2025-09-07T06:38:50.7753730Z                 ...     T_max=80,
2025-09-07T06:38:50.7753790Z                 ...     eta_min=3e-5,
2025-09-07T06:38:50.7753830Z                 ... )
2025-09-07T06:38:50.7753920Z                 >>> lr = torch.optim.lr_scheduler.SequentialLR(
2025-09-07T06:38:50.7753970Z                 ...     optim,
2025-09-07T06:38:50.7754050Z                 ...     schedulers=[scheduler1, scheduler2],
2025-09-07T06:38:50.7754110Z                 ...     milestones=[20],
2025-09-07T06:38:50.7754150Z                 ... )
2025-09-07T06:38:50.7754250Z                 >>> lr.load_state_dict(torch.load("./save_seq.pt"))
2025-09-07T06:38:50.7754370Z                 >>> # now load the optimizer checkpoint after loading the LRScheduler
2025-09-07T06:38:50.7754500Z                 >>> optim.load_state_dict(torch.load("./save_optim.pt"))
2025-09-07T06:38:50.7754540Z     
2025-09-07T06:38:50.7754590Z             
2025-09-07T06:38:50.7754740Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7754780Z     
2025-09-07T06:38:50.7754830Z       warnings.warn(msg)
2025-09-07T06:38:50.7754870Z     
2025-09-07T06:38:50.7754970Z --- Parse Warning: 109 / 146 ---
2025-09-07T06:38:50.7755680Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SelectiveCheckpointContext in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1226.
2025-09-07T06:38:50.7755840Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7755880Z     
2025-09-07T06:38:50.7756010Z     Context passed to policy function during selective checkpointing.
2025-09-07T06:38:50.7756050Z     
2025-09-07T06:38:50.7756190Z     This class is used to pass relevant metadata to the policy function during
2025-09-07T06:38:50.7756340Z     selective checkpointing. The metadata includes whether the current invocation
2025-09-07T06:38:50.7756440Z     of the policy function is during recomputation or not.
2025-09-07T06:38:50.7756500Z     
2025-09-07T06:38:50.7756540Z     Example:
2025-09-07T06:38:50.7756600Z         >>> # xdoctest: +SKIP(stub)
2025-09-07T06:38:50.7756650Z         >>>
2025-09-07T06:38:50.7756720Z         >>> def policy_fn(ctx, op, *args, **kwargs):
2025-09-07T06:38:50.7756790Z         >>>    print(ctx.is_recompute)
2025-09-07T06:38:50.7756850Z         >>>
2025-09-07T06:38:50.7757020Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-09-07T06:38:50.7757060Z         >>>
2025-09-07T06:38:50.7757150Z         >>> out = torch.utils.checkpoint.checkpoint(
2025-09-07T06:38:50.7757200Z         >>>     fn, x, y,
2025-09-07T06:38:50.7757260Z         >>>     use_reentrant=False,
2025-09-07T06:38:50.7757310Z         >>>     context_fn=context_fn,
2025-09-07T06:38:50.7757350Z         >>> )
2025-09-07T06:38:50.7757390Z     
2025-09-07T06:38:50.7757540Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7757580Z     
2025-09-07T06:38:50.7757640Z       warnings.warn(msg)
2025-09-07T06:38:50.7757680Z     
2025-09-07T06:38:50.7757780Z --- Parse Warning: 110 / 146 ---
2025-09-07T06:38:50.7758490Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=create_selective_checkpoint_contexts in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/checkpoint.py line=1366.
2025-09-07T06:38:50.7758650Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7758690Z     
2025-09-07T06:38:50.7758830Z     Helper to avoid recomputing certain ops during activation checkpointing.
2025-09-07T06:38:50.7758870Z     
2025-09-07T06:38:50.7759000Z     Use this with `torch.utils.checkpoint.checkpoint` to control which
2025-09-07T06:38:50.7759120Z     operations are recomputed during the backward pass.
2025-09-07T06:38:50.7759160Z     
2025-09-07T06:38:50.7759200Z     Args:
2025-09-07T06:38:50.7759270Z         policy_fn_or_list (Callable or List):
2025-09-07T06:38:50.7759370Z           - If a policy function is provided, it should accept a
2025-09-07T06:38:50.7759520Z             :class:`SelectiveCheckpointContext`, the :class:`OpOverload`, args and
2025-09-07T06:38:50.7759650Z             kwargs to the op, and return a :class:`CheckpointPolicy` enum value
2025-09-07T06:38:50.7759790Z             indicating whether the execution of the op should be recomputed or not.
2025-09-07T06:38:50.7759920Z           - If a list of operations is provided, it is equivalent to a policy
2025-09-07T06:38:50.7760060Z             returning `CheckpointPolicy.MUST_SAVE` for the specified
2025-09-07T06:38:50.7760190Z             operations and `CheckpointPolicy.PREFER_RECOMPUTE` for all other
2025-09-07T06:38:50.7760240Z             operations.
2025-09-07T06:38:50.7760370Z         allow_cache_entry_mutation (bool, optional): By default, an error is
2025-09-07T06:38:50.7760510Z             raised if any tensors cached by selective activation checkpoint are
2025-09-07T06:38:50.7760630Z             mutated in order to ensure correctness. If set to `True`, this check
2025-09-07T06:38:50.7760680Z             is disabled.
2025-09-07T06:38:50.7760720Z     Returns:
2025-09-07T06:38:50.7760790Z         A tuple of two context managers.
2025-09-07T06:38:50.7760830Z     
2025-09-07T06:38:50.7760870Z     Example:
2025-09-07T06:38:50.7760930Z         >>> # xdoctest: +REQUIRES(LINUX)
2025-09-07T06:38:50.7760980Z         >>> import functools
2025-09-07T06:38:50.7761020Z         >>>
2025-09-07T06:38:50.7761100Z         >>> x = torch.rand(10, 10, requires_grad=True)
2025-09-07T06:38:50.7761170Z         >>> y = torch.rand(10, 10, requires_grad=True)
2025-09-07T06:38:50.7761210Z         >>>
2025-09-07T06:38:50.7761260Z         >>> ops_to_save = [
2025-09-07T06:38:50.7761330Z         >>>    torch.ops.aten.mm.default,
2025-09-07T06:38:50.7761370Z         >>> ]
2025-09-07T06:38:50.7761440Z         >>>
2025-09-07T06:38:50.7761520Z         >>> def policy_fn(ctx, op, *args, **kwargs):
2025-09-07T06:38:50.7761570Z         >>>    if op in ops_to_save:
2025-09-07T06:38:50.7761650Z         >>>        return CheckpointPolicy.MUST_SAVE
2025-09-07T06:38:50.7761690Z         >>>    else:
2025-09-07T06:38:50.7761800Z         >>>        return CheckpointPolicy.PREFER_RECOMPUTE
2025-09-07T06:38:50.7761840Z         >>>
2025-09-07T06:38:50.7762010Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, policy_fn)
2025-09-07T06:38:50.7762050Z         >>>
2025-09-07T06:38:50.7762100Z         >>> # or equivalently
2025-09-07T06:38:50.7762270Z         >>> context_fn = functools.partial(create_selective_checkpoint_contexts, ops_to_save)
2025-09-07T06:38:50.7762310Z         >>>
2025-09-07T06:38:50.7762360Z         >>> def fn(x, y):
2025-09-07T06:38:50.7762480Z         >>>     return torch.sigmoid(torch.matmul(torch.matmul(x, y), y)) * y
2025-09-07T06:38:50.7762520Z         >>>
2025-09-07T06:38:50.7762610Z         >>> out = torch.utils.checkpoint.checkpoint(
2025-09-07T06:38:50.7762650Z         >>>     fn, x, y,
2025-09-07T06:38:50.7762710Z         >>>     use_reentrant=False,
2025-09-07T06:38:50.7762770Z         >>>     context_fn=context_fn,
2025-09-07T06:38:50.7762810Z         >>> )
2025-09-07T06:38:50.7762850Z     
2025-09-07T06:38:50.7763000Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7763040Z     
2025-09-07T06:38:50.7763090Z       warnings.warn(msg)
2025-09-07T06:38:50.7763130Z     
2025-09-07T06:38:50.7763230Z --- Parse Warning: 111 / 146 ---
2025-09-07T06:38:50.7763950Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ThroughputBenchmark in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/throughput_benchmark.py line=61.
2025-09-07T06:38:50.7764120Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7764160Z     
2025-09-07T06:38:50.7764340Z     This class is a wrapper around a c++ component throughput_benchmark::ThroughputBenchmark.
2025-09-07T06:38:50.7764380Z     
2025-09-07T06:38:50.7764570Z     This wrapper on the throughput_benchmark::ThroughputBenchmark component is responsible
2025-09-07T06:38:50.7764720Z     for executing a PyTorch module (nn.Module or ScriptModule) under an inference
2025-09-07T06:38:50.7764860Z     server like load. It can emulate multiple calling threads to a single module
2025-09-07T06:38:50.7765030Z     provided. In the future we plan to enhance this component to support inter and
2025-09-07T06:38:50.7765180Z     intra-op parallelism as well as multiple models running in a single process.
2025-09-07T06:38:50.7765220Z     
2025-09-07T06:38:50.7765370Z     Please note that even though nn.Module is supported, it might incur an overhead
2025-09-07T06:38:50.7765510Z     from the need to hold GIL every time we execute Python code or pass around
2025-09-07T06:38:50.7765660Z     inputs as Python objects. As soon as you have a ScriptModule version of your
2025-09-07T06:38:50.7765800Z     model for inference deployment it is better to switch to using it in this
2025-09-07T06:38:50.7765840Z     benchmark.
2025-09-07T06:38:50.7765890Z     
2025-09-07T06:38:50.7765930Z     Example::
2025-09-07T06:38:50.7765980Z     
2025-09-07T06:38:50.7766050Z         >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:50.7766140Z         >>> from torch.utils import ThroughputBenchmark
2025-09-07T06:38:50.7766210Z         >>> bench = ThroughputBenchmark(my_module)
2025-09-07T06:38:50.7766320Z         >>> # Pre-populate benchmark's data set with the inputs
2025-09-07T06:38:50.7766380Z         >>> for input in inputs:
2025-09-07T06:38:50.7766520Z         ...     # Both args and kwargs work, same as any PyTorch Module / ScriptModule
2025-09-07T06:38:50.7766600Z         ...     bench.add_input(input[0], x2=input[1])
2025-09-07T06:38:50.7766740Z         >>> # Inputs supplied above are randomly used during the execution
2025-09-07T06:38:50.7766800Z         >>> stats = bench.benchmark(
2025-09-07T06:38:50.7766860Z         ...     num_calling_threads=4,
2025-09-07T06:38:50.7766920Z         ...     num_warmup_iters = 100,
2025-09-07T06:38:50.7766970Z         ...     num_iters = 1000,
2025-09-07T06:38:50.7767040Z         ... )
2025-09-07T06:38:50.7767160Z         >>> print("Avg latency (ms): {}".format(stats.latency_avg_ms))
2025-09-07T06:38:50.7767270Z         >>> print("Number of iterations: {}".format(stats.num_iters))
2025-09-07T06:38:50.7767310Z     
2025-09-07T06:38:50.7767460Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7767500Z     
2025-09-07T06:38:50.7767560Z       warnings.warn(msg)
2025-09-07T06:38:50.7767600Z     
2025-09-07T06:38:50.7767700Z --- Parse Warning: 112 / 146 ---
2025-09-07T06:38:50.7768390Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=register_pytree_node in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/_cxx_pytree.py line=134.
2025-09-07T06:38:50.7768550Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7768630Z     Register a container-like type as pytree node.
2025-09-07T06:38:50.7768680Z     
2025-09-07T06:38:50.7768730Z         Args:
2025-09-07T06:38:50.7768840Z             cls (type): A Python type to treat as an internal pytree node.
2025-09-07T06:38:50.7769010Z             flatten_fn (callable): A function to be used during flattening, taking an instance of
2025-09-07T06:38:50.7769170Z                 ``cls`` and returning a pair, with (1) an iterable for the children to be flattened
2025-09-07T06:38:50.7769370Z                 recursively, and (2) some hashable auxiliary data to be stored in the treespec and to be
2025-09-07T06:38:50.7769440Z                 passed to the ``unflatten_fn``.
2025-09-07T06:38:50.7769610Z             unflatten_fn (callable): A function taking two arguments: the auxiliary data that was
2025-09-07T06:38:50.7769770Z                 returned by ``flatten_fn`` and stored in the treespec, and the unflattened children.
2025-09-07T06:38:50.7769880Z                 The function should return an instance of ``cls``.
2025-09-07T06:38:50.7770040Z             serialized_type_name (str, optional): A keyword argument used to specify the fully
2025-09-07T06:38:50.7770140Z                 qualified name used when serializing the tree spec.
2025-09-07T06:38:50.7770350Z             to_dumpable_context (callable, optional): An optional keyword argument to custom specify how
2025-09-07T06:38:50.7770530Z                 to convert the context of the pytree to a custom json dumpable representation. This is
2025-09-07T06:38:50.7770690Z                 used for json serialization, which is being used in :mod:`torch.export` right now.
2025-09-07T06:38:50.7770880Z             from_dumpable_context (callable, optional): An optional keyword argument to custom specify
2025-09-07T06:38:50.7771040Z                 how to convert the custom json dumpable representation of the context back to the
2025-09-07T06:38:50.7771200Z                 original context. This is used for json deserialization, which is being used in
2025-09-07T06:38:50.7771270Z                 :mod:`torch.export` right now.
2025-09-07T06:38:50.7771310Z     
2025-09-07T06:38:50.7771360Z         Example::
2025-09-07T06:38:50.7771400Z     
2025-09-07T06:38:50.7771460Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7771550Z             >>> # Registry a Python type with lambda functions
2025-09-07T06:38:50.7771610Z             >>> register_pytree_node(
2025-09-07T06:38:50.7771660Z             ...     set,
2025-09-07T06:38:50.7771750Z             ...     lambda s: (sorted(s), None, None),
2025-09-07T06:38:50.7771850Z             ...     lambda children, _: set(children),
2025-09-07T06:38:50.7771890Z             ... )
2025-09-07T06:38:50.7771930Z         
2025-09-07T06:38:50.7772090Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7772130Z     
2025-09-07T06:38:50.7772180Z       warnings.warn(msg)
2025-09-07T06:38:50.7772220Z     
2025-09-07T06:38:50.7772340Z --- Parse Warning: 113 / 146 ---
2025-09-07T06:38:50.7773020Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CppExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1158.
2025-09-07T06:38:50.7773180Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7773220Z     
2025-09-07T06:38:50.7773310Z     Create a :class:`setuptools.Extension` for C++.
2025-09-07T06:38:50.7773350Z     
2025-09-07T06:38:50.7773500Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-09-07T06:38:50.7773640Z     bare minimum (but often sufficient) arguments to build a C++ extension.
2025-09-07T06:38:50.7773680Z     
2025-09-07T06:38:50.7773810Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-09-07T06:38:50.7773900Z     constructor. Full list arguments can be found at
2025-09-07T06:38:50.7774110Z     https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-09-07T06:38:50.7774150Z     
2025-09-07T06:38:50.7774190Z     .. warning::
2025-09-07T06:38:50.7774330Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-09-07T06:38:50.7774470Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-09-07T06:38:50.7774620Z         the user's responsibility in their library to not use APIs from
2025-09-07T06:38:50.7774770Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-09-07T06:38:50.7774900Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-09-07T06:38:50.7775040Z         example, to give access to custom ops from python, the library should
2025-09-07T06:38:50.7775110Z         register the ops through the dispatcher.
2025-09-07T06:38:50.7775150Z     
2025-09-07T06:38:50.7775280Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-09-07T06:38:50.7775410Z         as a compile flag when py_limited_api is specified as an option for
2025-09-07T06:38:50.7775540Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-09-07T06:38:50.7775700Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-09-07T06:38:50.7775830Z         safety, and sanity in order to encourage best practices. To target a
2025-09-07T06:38:50.7775960Z         different version, set min_supported_cpython to the hexcode of the
2025-09-07T06:38:50.7776020Z         CPython version of choice.
2025-09-07T06:38:50.7776060Z     
2025-09-07T06:38:50.7776110Z     Example:
2025-09-07T06:38:50.7776160Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7776250Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-09-07T06:38:50.7776310Z         >>> from setuptools import setup
2025-09-07T06:38:50.7776450Z         >>> from torch.utils.cpp_extension import BuildExtension, CppExtension
2025-09-07T06:38:50.7776490Z         >>> setup(
2025-09-07T06:38:50.7776550Z         ...     name='extension',
2025-09-07T06:38:50.7776600Z         ...     ext_modules=[
2025-09-07T06:38:50.7776650Z         ...         CppExtension(
2025-09-07T06:38:50.7776710Z         ...             name='extension',
2025-09-07T06:38:50.7776780Z         ...             sources=['extension.cpp'],
2025-09-07T06:38:50.7779940Z         ...             extra_compile_args=['-g'],
2025-09-07T06:38:50.7780060Z         ...             extra_link_args=['-Wl,--no-as-needed', '-lm'])
2025-09-07T06:38:50.7780190Z         ...     ],
2025-09-07T06:38:50.7780240Z         ...     cmdclass={
2025-09-07T06:38:50.7780310Z         ...         'build_ext': BuildExtension
2025-09-07T06:38:50.7780350Z         ...     })
2025-09-07T06:38:50.7780390Z     
2025-09-07T06:38:50.7780540Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7780580Z     
2025-09-07T06:38:50.7780670Z       warnings.warn(msg)
2025-09-07T06:38:50.7780710Z     
2025-09-07T06:38:50.7780840Z --- Parse Warning: 114 / 146 ---
2025-09-07T06:38:50.7781510Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CUDAExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1228.
2025-09-07T06:38:50.7781670Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7781710Z     
2025-09-07T06:38:50.7781810Z     Create a :class:`setuptools.Extension` for CUDA/C++.
2025-09-07T06:38:50.7781840Z     
2025-09-07T06:38:50.7782000Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-09-07T06:38:50.7782120Z     bare minimum (but often sufficient) arguments to build a CUDA/C++
2025-09-07T06:38:50.7782260Z     extension. This includes the CUDA include path, library path and runtime
2025-09-07T06:38:50.7782300Z     library.
2025-09-07T06:38:50.7782340Z     
2025-09-07T06:38:50.7782470Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-09-07T06:38:50.7782560Z     constructor. Full list arguments can be found at
2025-09-07T06:38:50.7782760Z     https://setuptools.pypa.io/en/latest/userguide/ext_modules.html#extension-api-reference
2025-09-07T06:38:50.7782800Z     
2025-09-07T06:38:50.7782850Z     .. warning::
2025-09-07T06:38:50.7783010Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-09-07T06:38:50.7783150Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-09-07T06:38:50.7783270Z         the user's responsibility in their library to not use APIs from
2025-09-07T06:38:50.7783410Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-09-07T06:38:50.7783540Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-09-07T06:38:50.7783670Z         example, to give access to custom ops from python, the library should
2025-09-07T06:38:50.7783740Z         register the ops through the dispatcher.
2025-09-07T06:38:50.7783790Z     
2025-09-07T06:38:50.7783920Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-09-07T06:38:50.7784070Z         as a compile flag when py_limited_api is specified as an option for
2025-09-07T06:38:50.7784200Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-09-07T06:38:50.7784330Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-09-07T06:38:50.7784460Z         safety, and sanity in order to encourage best practices. To target a
2025-09-07T06:38:50.7784590Z         different version, set min_supported_cpython to the hexcode of the
2025-09-07T06:38:50.7784650Z         CPython version of choice.
2025-09-07T06:38:50.7784690Z     
2025-09-07T06:38:50.7784740Z     Example:
2025-09-07T06:38:50.7784790Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7784880Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-09-07T06:38:50.7784940Z         >>> from setuptools import setup
2025-09-07T06:38:50.7785080Z         >>> from torch.utils.cpp_extension import BuildExtension, CUDAExtension
2025-09-07T06:38:50.7785120Z         >>> setup(
2025-09-07T06:38:50.7785190Z         ...     name='cuda_extension',
2025-09-07T06:38:50.7785230Z         ...     ext_modules=[
2025-09-07T06:38:50.7785300Z         ...         CUDAExtension(
2025-09-07T06:38:50.7785370Z         ...                 name='cuda_extension',
2025-09-07T06:38:50.7785500Z         ...                 sources=['extension.cpp', 'extension_kernel.cu'],
2025-09-07T06:38:50.7785580Z         ...                 extra_compile_args={'cxx': ['-g'],
2025-09-07T06:38:50.7785660Z         ...                                     'nvcc': ['-O2']},
2025-09-07T06:38:50.7785760Z         ...                 extra_link_args=['-Wl,--no-as-needed', '-lcuda'])
2025-09-07T06:38:50.7785820Z         ...     ],
2025-09-07T06:38:50.7785870Z         ...     cmdclass={
2025-09-07T06:38:50.7785940Z         ...         'build_ext': BuildExtension
2025-09-07T06:38:50.7785980Z         ...     })
2025-09-07T06:38:50.7786020Z     
2025-09-07T06:38:50.7786080Z     Compute capabilities:
2025-09-07T06:38:50.7786120Z     
2025-09-07T06:38:50.7786300Z     By default the extension will be compiled to run on all archs of the cards visible during the
2025-09-07T06:38:50.7786480Z     building process of the extension, plus PTX. If down the road a new card is installed the
2025-09-07T06:38:50.7786660Z     extension may need to be recompiled. If a visible card has a compute capability (CC) that's
2025-09-07T06:38:50.7786840Z     newer than the newest version for which your nvcc can build fully-compiled binaries, PyTorch
2025-09-07T06:38:50.7787020Z     will make nvcc fall back to building kernels with the newest version of PTX your nvcc does
2025-09-07T06:38:50.7787090Z     support (see below for details on PTX).
2025-09-07T06:38:50.7787130Z     
2025-09-07T06:38:50.7787310Z     You can override the default behavior using `TORCH_CUDA_ARCH_LIST` to explicitly specify which
2025-09-07T06:38:50.7787380Z     CCs you want the extension to support:
2025-09-07T06:38:50.7787420Z     
2025-09-07T06:38:50.7787530Z     ``TORCH_CUDA_ARCH_LIST="6.1 8.6" python build_my_extension.py``
2025-09-07T06:38:50.7787670Z     ``TORCH_CUDA_ARCH_LIST="5.2 6.0 6.1 7.0 7.5 8.0 8.6+PTX" python build_my_extension.py``
2025-09-07T06:38:50.7787720Z     
2025-09-07T06:38:50.7787920Z     The +PTX option causes extension kernel binaries to include PTX instructions for the specified
2025-09-07T06:38:50.7788110Z     CC. PTX is an intermediate representation that allows kernels to runtime-compile for any CC >=
2025-09-07T06:38:50.7788300Z     the specified CC (for example, 8.6+PTX generates PTX that can runtime-compile for any GPU with
2025-09-07T06:38:50.7788470Z     CC >= 8.6). This improves your binary's forward compatibility. However, relying on older PTX to
2025-09-07T06:38:50.7788670Z     provide forward compat by runtime-compiling for newer CCs can modestly reduce performance on
2025-09-07T06:38:50.7788830Z     those newer CCs. If you know exact CC(s) of the GPUs you want to target, you're always better
2025-09-07T06:38:50.7789040Z     off specifying them individually. For example, if you want your extension to run on 8.0 and 8.6,
2025-09-07T06:38:50.7789240Z     "8.0+PTX" would work functionally because it includes PTX that can runtime-compile for 8.6, but
2025-09-07T06:38:50.7789290Z     "8.0 8.6" would be better.
2025-09-07T06:38:50.7789330Z     
2025-09-07T06:38:50.7789520Z     Note that while it's possible to include all supported archs, the more archs get included the
2025-09-07T06:38:50.7789690Z     slower the building process will be, as it will build a separate kernel image for each arch.
2025-09-07T06:38:50.7789730Z     
2025-09-07T06:38:50.7789930Z     Note that CUDA-11.5 nvcc will hit internal compiler error while parsing torch/extension.h on Windows.
2025-09-07T06:38:50.7790060Z     To workaround the issue, move python binding logic to pure C++ file.
2025-09-07T06:38:50.7790100Z     
2025-09-07T06:38:50.7790150Z     Example use:
2025-09-07T06:38:50.7790200Z         #include <ATen/ATen.h>
2025-09-07T06:38:50.7790300Z         at::Tensor SigmoidAlphaBlendForwardCuda(....)
2025-09-07T06:38:50.7790340Z     
2025-09-07T06:38:50.7790380Z     Instead of:
2025-09-07T06:38:50.7790440Z         #include <torch/extension.h>
2025-09-07T06:38:50.7790530Z         torch::Tensor SigmoidAlphaBlendForwardCuda(...)
2025-09-07T06:38:50.7790580Z     
2025-09-07T06:38:50.7790760Z     Currently open issue for nvcc bug: https://github.com/pytorch/pytorch/issues/69460
2025-09-07T06:38:50.7791060Z     Complete workaround code example: https://github.com/facebookresearch/pytorch3d/commit/cb170ac024a949f1f9614ffe6af1c38d972f7d48
2025-09-07T06:38:50.7791110Z     
2025-09-07T06:38:50.7791170Z     Relocatable device code linking:
2025-09-07T06:38:50.7791230Z     
2025-09-07T06:38:50.7791400Z     If you want to reference device symbols across compilation units (across object files),
2025-09-07T06:38:50.7791550Z     the object files need to be built with `relocatable device code` (-rdc=true or -dc).
2025-09-07T06:38:50.7791770Z     An exception to this rule is "dynamic parallelism" (nested kernel launches)  which is not used a lot anymore.
2025-09-07T06:38:50.7791970Z     `Relocatable device code` is less optimized so it needs to be used only on object files that need it.
2025-09-07T06:38:50.7792160Z     Using `-dlto` (Device Link Time Optimization) at the device code compilation step and `dlink` step
2025-09-07T06:38:50.7792270Z     helps reduce the protentional perf degradation of `-rdc`.
2025-09-07T06:38:50.7792380Z     Note that it needs to be used at both steps to be useful.
2025-09-07T06:38:50.7792420Z     
2025-09-07T06:38:50.7792640Z     If you have `rdc` objects you need to have an extra `-dlink` (device linking) step before the CPU symbol linking step.
2025-09-07T06:38:50.7792750Z     There is also a case where `-dlink` is used without `-rdc`:
2025-09-07T06:38:50.7792900Z     when an extension is linked against a static lib containing rdc-compiled objects
2025-09-07T06:38:50.7793040Z     like the [NVSHMEM library](https://developer.nvidia.com/nvshmem).
2025-09-07T06:38:50.7793080Z     
2025-09-07T06:38:50.7793200Z     Note: Ninja is required to build a CUDA Extension with RDC linking.
2025-09-07T06:38:50.7793240Z     
2025-09-07T06:38:50.7793290Z     Example:
2025-09-07T06:38:50.7793350Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7793450Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-09-07T06:38:50.7793500Z         >>> CUDAExtension(
2025-09-07T06:38:50.7793560Z         ...        name='cuda_extension',
2025-09-07T06:38:50.7793660Z         ...        sources=['extension.cpp', 'extension_kernel.cu'],
2025-09-07T06:38:50.7793710Z         ...        dlink=True,
2025-09-07T06:38:50.7793780Z         ...        dlink_libraries=["dlink_lib"],
2025-09-07T06:38:50.7793860Z         ...        extra_compile_args={'cxx': ['-g'],
2025-09-07T06:38:50.7793950Z         ...                            'nvcc': ['-O2', '-rdc=true']})
2025-09-07T06:38:50.7793980Z     
2025-09-07T06:38:50.7794140Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7794200Z     
2025-09-07T06:38:50.7794260Z       warnings.warn(msg)
2025-09-07T06:38:50.7794290Z     
2025-09-07T06:38:50.7794400Z --- Parse Warning: 115 / 146 ---
2025-09-07T06:38:50.7795070Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=SyclExtension in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1420.
2025-09-07T06:38:50.7795230Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7795260Z     
2025-09-07T06:38:50.7795360Z     Creates a :class:`setuptools.Extension` for SYCL/C++.
2025-09-07T06:38:50.7795400Z     
2025-09-07T06:38:50.7795550Z     Convenience method that creates a :class:`setuptools.Extension` with the
2025-09-07T06:38:50.7795670Z     bare minimum (but often sufficient) arguments to build a SYCL/C++
2025-09-07T06:38:50.7795720Z     extension.
2025-09-07T06:38:50.7795750Z     
2025-09-07T06:38:50.7795880Z     All arguments are forwarded to the :class:`setuptools.Extension`
2025-09-07T06:38:50.7795920Z     constructor.
2025-09-07T06:38:50.7795960Z     
2025-09-07T06:38:50.7796010Z     .. warning::
2025-09-07T06:38:50.7796170Z         The PyTorch python API (as provided in libtorch_python) cannot be built
2025-09-07T06:38:50.7796300Z         with the flag ``py_limited_api=True``.  When this flag is passed, it is
2025-09-07T06:38:50.7796420Z         the user's responsibility in their library to not use APIs from
2025-09-07T06:38:50.7796580Z         libtorch_python (in particular pytorch/python bindings) and to only use
2025-09-07T06:38:50.7796710Z         APIs from libtorch (aten objects, operators and the dispatcher). For
2025-09-07T06:38:50.7796840Z         example, to give access to custom ops from python, the library should
2025-09-07T06:38:50.7796910Z         register the ops through the dispatcher.
2025-09-07T06:38:50.7796950Z     
2025-09-07T06:38:50.7797090Z         Contrary to CPython setuptools, who does not define -DPy_LIMITED_API
2025-09-07T06:38:50.7797210Z         as a compile flag when py_limited_api is specified as an option for
2025-09-07T06:38:50.7797340Z         the "bdist_wheel" command in ``setup``, PyTorch does! We will specify
2025-09-07T06:38:50.7797470Z         -DPy_LIMITED_API=min_supported_cpython to best enforce consistency,
2025-09-07T06:38:50.7797600Z         safety, and sanity in order to encourage best practices. To target a
2025-09-07T06:38:50.7797720Z         different version, set min_supported_cpython to the hexcode of the
2025-09-07T06:38:50.7797780Z         CPython version of choice.
2025-09-07T06:38:50.7797820Z     
2025-09-07T06:38:50.7797870Z     Example:
2025-09-07T06:38:50.7797920Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7798010Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-09-07T06:38:50.7798150Z         >>> from torch.utils.cpp_extension import BuildExtension, SyclExtension
2025-09-07T06:38:50.7798190Z         >>> setup(
2025-09-07T06:38:50.7798250Z         ...     name='xpu_extension',
2025-09-07T06:38:50.7798300Z         ...     ext_modules=[
2025-09-07T06:38:50.7798410Z         ...     SyclExtension(
2025-09-07T06:38:50.7798480Z         ...                 name='xpu_extension',
2025-09-07T06:38:50.7798590Z         ...                 sources=['extension.cpp', 'extension_kernel.cpp'],
2025-09-07T06:38:50.7798700Z         ...                 extra_compile_args={'cxx': ['-g', '-std=c++20', '-fPIC']})
2025-09-07T06:38:50.7798740Z         ...     ],
2025-09-07T06:38:50.7798790Z         ...     cmdclass={
2025-09-07T06:38:50.7798860Z         ...         'build_ext': BuildExtension
2025-09-07T06:38:50.7798900Z         ...     })
2025-09-07T06:38:50.7798940Z     
2025-09-07T06:38:50.7799120Z     By default the extension will be compiled to run on all archs of the cards visible during the
2025-09-07T06:38:50.7799310Z     building process of the extension. If down the road a new card is installed the
2025-09-07T06:38:50.7799460Z     extension may need to be recompiled. You can override the default behavior using
2025-09-07T06:38:50.7799650Z     `TORCH_XPU_ARCH_LIST` to explicitly specify which device architectures you want the extension
2025-09-07T06:38:50.7799690Z     to support:
2025-09-07T06:38:50.7799740Z     
2025-09-07T06:38:50.7799860Z     ``TORCH_XPU_ARCH_LIST="pvc,xe-lpg" python build_my_extension.py``
2025-09-07T06:38:50.7799900Z     
2025-09-07T06:38:50.7800070Z     Note that while it's possible to include all supported archs, the more archs get included the
2025-09-07T06:38:50.7800250Z     slower the building process will be, as it will build a separate kernel image for each arch.
2025-09-07T06:38:50.7800290Z     
2025-09-07T06:38:50.7800370Z     Note: Ninja is required to build SyclExtension.
2025-09-07T06:38:50.7800410Z     
2025-09-07T06:38:50.7800560Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7800600Z     
2025-09-07T06:38:50.7800650Z       warnings.warn(msg)
2025-09-07T06:38:50.7800700Z     
2025-09-07T06:38:50.7800790Z --- Parse Warning: 116 / 146 ---
2025-09-07T06:38:50.7801440Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1597.
2025-09-07T06:38:50.7801610Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7801650Z     
2025-09-07T06:38:50.7801770Z     Load a PyTorch C++ extension just-in-time (JIT).
2025-09-07T06:38:50.7801810Z     
2025-09-07T06:38:50.7801940Z     To load an extension, a Ninja build file is emitted, which is used to
2025-09-07T06:38:50.7802060Z     compile the given sources into a dynamic library. This library is
2025-09-07T06:38:50.7802190Z     subsequently loaded into the current Python process as a module and
2025-09-07T06:38:50.7802300Z     returned from this function, ready for use.
2025-09-07T06:38:50.7802340Z     
2025-09-07T06:38:50.7802470Z     By default, the directory to which the build file is emitted and the
2025-09-07T06:38:50.7802610Z     resulting library compiled to is ``<tmp>/torch_extensions/<name>``, where
2025-09-07T06:38:50.7802730Z     ``<tmp>`` is the temporary folder on the current platform and ``<name>``
2025-09-07T06:38:50.7802860Z     the name of the extension. This location can be overridden in two ways.
2025-09-07T06:38:50.7802990Z     First, if the ``TORCH_EXTENSIONS_DIR`` environment variable is set, it
2025-09-07T06:38:50.7803130Z     replaces ``<tmp>/torch_extensions`` and all extensions will be compiled
2025-09-07T06:38:50.7803260Z     into subfolders of this directory. Second, if the ``build_directory``
2025-09-07T06:38:50.7803400Z     argument to this function is supplied, it overrides the entire path, i.e.
2025-09-07T06:38:50.7803500Z     the library will be compiled into that folder directly.
2025-09-07T06:38:50.7803540Z     
2025-09-07T06:38:50.7803660Z     To compile the sources, the default system compiler (``c++``) is used,
2025-09-07T06:38:50.7803850Z     which can be overridden by setting the ``CXX`` environment variable. To pass
2025-09-07T06:38:50.7803990Z     additional arguments to the compilation process, ``extra_cflags`` or
2025-09-07T06:38:50.7804120Z     ``extra_ldflags`` can be provided. For example, to compile your extension
2025-09-07T06:38:50.7804250Z     with optimizations, pass ``extra_cflags=['-O3']``. You can also use
2025-09-07T06:38:50.7804350Z     ``extra_cflags`` to pass further include directories.
2025-09-07T06:38:50.7804390Z     
2025-09-07T06:38:50.7804530Z     CUDA support with mixed compilation is provided. Simply pass CUDA source
2025-09-07T06:38:50.7804640Z     files (``.cu`` or ``.cuh``) along with other sources. Such files will be
2025-09-07T06:38:50.7804810Z     detected and compiled with nvcc rather than the C++ compiler. This includes
2025-09-07T06:38:50.7804940Z     passing the CUDA lib64 directory as a library directory, and linking
2025-09-07T06:38:50.7805030Z     ``cudart``. You can pass additional flags to nvcc via
2025-09-07T06:38:50.7805160Z     ``extra_cuda_cflags``, just like with ``extra_cflags`` for C++. Various
2025-09-07T06:38:50.7805290Z     heuristics for finding the CUDA install directory are used, which usually
2025-09-07T06:38:50.7805420Z     work fine. If not, setting the ``CUDA_HOME`` environment variable is the
2025-09-07T06:38:50.7805470Z     safest option.
2025-09-07T06:38:50.7805510Z     
2025-09-07T06:38:50.7805650Z     SYCL support with mixed compilation is provided. Simply pass SYCL source
2025-09-07T06:38:50.7805770Z     files (``.sycl``) along with other sources. Such files will be detected
2025-09-07T06:38:50.7805900Z     and compiled with SYCL compiler (such as Intel DPC++ Compiler) rather
2025-09-07T06:38:50.7806030Z     than the C++ compiler. You can pass additional flags to SYCL compiler
2025-09-07T06:38:50.7806150Z     via ``extra_sycl_cflags``, just like with ``extra_cflags`` for C++.
2025-09-07T06:38:50.7806270Z     SYCL compiler is expected to be found via system PATH environment
2025-09-07T06:38:50.7806320Z     variable.
2025-09-07T06:38:50.7806360Z     
2025-09-07T06:38:50.7806430Z     Args:
2025-09-07T06:38:50.7806550Z         name: The name of the extension to build. This MUST be the same as the
2025-09-07T06:38:50.7806620Z             name of the pybind11 module!
2025-09-07T06:38:50.7806740Z         sources: A list of relative or absolute paths to C++ source files.
2025-09-07T06:38:50.7806900Z         extra_cflags: optional list of compiler flags to forward to the build.
2025-09-07T06:38:50.7807030Z         extra_cuda_cflags: optional list of compiler flags to forward to nvcc
2025-09-07T06:38:50.7807090Z             when building CUDA sources.
2025-09-07T06:38:50.7807220Z         extra_sycl_cflags: optional list of compiler flags to forward to SYCL
2025-09-07T06:38:50.7807290Z             compiler when building SYCL sources.
2025-09-07T06:38:50.7807420Z         extra_ldflags: optional list of linker flags to forward to the build.
2025-09-07T06:38:50.7807560Z         extra_include_paths: optional list of include directories to forward
2025-09-07T06:38:50.7807610Z             to the build.
2025-09-07T06:38:50.7807720Z         build_directory: optional path to use as build workspace.
2025-09-07T06:38:50.7807830Z         verbose: If ``True``, turns on verbose logging of load steps.
2025-09-07T06:38:50.7807960Z         with_cuda: Determines whether CUDA headers and libraries are added to
2025-09-07T06:38:50.7808060Z             the build. If set to ``None`` (default), this value is
2025-09-07T06:38:50.7808190Z             automatically determined based on the existence of ``.cu`` or
2025-09-07T06:38:50.7808290Z             ``.cuh`` in ``sources``. Set it to `True`` to force CUDA headers
2025-09-07T06:38:50.7808350Z             and libraries to be included.
2025-09-07T06:38:50.7808480Z         with_sycl: Determines whether SYCL headers and libraries are added to
2025-09-07T06:38:50.7808580Z             the build. If set to ``None`` (default), this value is
2025-09-07T06:38:50.7808730Z             automatically determined based on the existence of ``.sycl`` in
2025-09-07T06:38:50.7808830Z             ``sources``. Set it to `True`` to force SYCL headers and
2025-09-07T06:38:50.7808890Z             libraries to be included.
2025-09-07T06:38:50.7809020Z         is_python_module: If ``True`` (default), imports the produced shared
2025-09-07T06:38:50.7809130Z             library as a Python module. If ``False``, behavior depends on
2025-09-07T06:38:50.7809180Z             ``is_standalone``.
2025-09-07T06:38:50.7809310Z         is_standalone: If ``False`` (default) loads the constructed extension
2025-09-07T06:38:50.7809430Z             into the process as a plain dynamic library. If ``True``, build a
2025-09-07T06:38:50.7809490Z             standalone executable.
2025-09-07T06:38:50.7809550Z     
2025-09-07T06:38:50.7809590Z     Returns:
2025-09-07T06:38:50.7809650Z         If ``is_python_module`` is ``True``:
2025-09-07T06:38:50.7809760Z             Returns the loaded PyTorch extension as a Python module.
2025-09-07T06:38:50.7809800Z     
2025-09-07T06:38:50.7809930Z         If ``is_python_module`` is ``False`` and ``is_standalone`` is ``False``:
2025-09-07T06:38:50.7810050Z             Returns nothing. (The shared library is loaded into the process as
2025-09-07T06:38:50.7810100Z             a side effect.)
2025-09-07T06:38:50.7810140Z     
2025-09-07T06:38:50.7810200Z         If ``is_standalone`` is ``True``.
2025-09-07T06:38:50.7810330Z             Return the path to the executable. (On Windows, TORCH_LIB_PATH is
2025-09-07T06:38:50.7810440Z             added to the PATH environment variable as a side effect.)
2025-09-07T06:38:50.7810480Z     
2025-09-07T06:38:50.7810520Z     Example:
2025-09-07T06:38:50.7810570Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7810650Z         >>> from torch.utils.cpp_extension import load
2025-09-07T06:38:50.7810710Z         >>> module = load(
2025-09-07T06:38:50.7810760Z         ...     name='extension',
2025-09-07T06:38:50.7810860Z         ...     sources=['extension.cpp', 'extension_kernel.cu'],
2025-09-07T06:38:50.7810910Z         ...     extra_cflags=['-O2'],
2025-09-07T06:38:50.7810980Z         ...     verbose=True)
2025-09-07T06:38:50.7811030Z     
2025-09-07T06:38:50.7811180Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7811220Z     
2025-09-07T06:38:50.7811270Z       warnings.warn(msg)
2025-09-07T06:38:50.7811310Z     
2025-09-07T06:38:50.7811430Z --- Parse Warning: 117 / 146 ---
2025-09-07T06:38:50.7812090Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=load_inline in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/cpp_extension.py line=1885.
2025-09-07T06:38:50.7812250Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7812290Z     
2025-09-07T06:38:50.7812420Z     Load a PyTorch C++ extension just-in-time (JIT) from string sources.
2025-09-07T06:38:50.7812460Z     
2025-09-07T06:38:50.7812600Z     This function behaves exactly like :func:`load`, but takes its sources as
2025-09-07T06:38:50.7812730Z     strings rather than filenames. These strings are stored to files in the
2025-09-07T06:38:50.7812860Z     build directory, after which the behavior of :func:`load_inline` is
2025-09-07T06:38:50.7812920Z     identical to :func:`load`.
2025-09-07T06:38:50.7812960Z     
2025-09-07T06:38:50.7813000Z     See `the
2025-09-07T06:38:50.7813190Z     tests <https://github.com/pytorch/pytorch/blob/master/test/test_cpp_extensions_jit.py>`_
2025-09-07T06:38:50.7813260Z     for good examples of using this function.
2025-09-07T06:38:50.7813300Z     
2025-09-07T06:38:50.7813440Z     Sources may omit two required parts of a typical non-inline C++ extension:
2025-09-07T06:38:50.7813580Z     the necessary header includes, as well as the (pybind11) binding code. More
2025-09-07T06:38:50.7813740Z     precisely, strings passed to ``cpp_sources`` are first concatenated into a
2025-09-07T06:38:50.7813860Z     single ``.cpp`` file. This file is then prepended with ``#include
2025-09-07T06:38:50.7813920Z     <torch/extension.h>``
2025-09-07T06:38:50.7813960Z     
2025-09-07T06:38:50.7814090Z     Furthermore, if the ``functions`` argument is supplied, bindings will be
2025-09-07T06:38:50.7814230Z     automatically generated for each function specified. ``functions`` can
2025-09-07T06:38:50.7814370Z     either be a list of function names, or a dictionary mapping from function
2025-09-07T06:38:50.7814500Z     names to docstrings. If a list is given, the name of each function is used
2025-09-07T06:38:50.7814550Z     as its docstring.
2025-09-07T06:38:50.7814600Z     
2025-09-07T06:38:50.7814730Z     The sources in ``cuda_sources`` are concatenated into a separate ``.cu``
2025-09-07T06:38:50.7814840Z     file and  prepended with ``torch/types.h``, ``cuda.h`` and
2025-09-07T06:38:50.7814970Z     ``cuda_runtime.h`` includes. The ``.cpp`` and ``.cu`` files are compiled
2025-09-07T06:38:50.7815100Z     separately, but ultimately linked into a single library. Note that no
2025-09-07T06:38:50.7815240Z     bindings are generated for functions in ``cuda_sources`` per se. To bind
2025-09-07T06:38:50.7815370Z     to a CUDA kernel, you must create a C++ function that calls it, and either
2025-09-07T06:38:50.7815500Z     declare or define this C++ function in one of the ``cpp_sources`` (and
2025-09-07T06:38:50.7815560Z     include its name in ``functions``).
2025-09-07T06:38:50.7815600Z     
2025-09-07T06:38:50.7815730Z     The sources in ``sycl_sources`` are concatenated into a separate ``.sycl``
2025-09-07T06:38:50.7815860Z     file and  prepended with ``torch/types.h``, ``sycl/sycl.hpp`` includes.
2025-09-07T06:38:50.7815980Z     The ``.cpp`` and ``.sycl`` files are compiled separately, but ultimately
2025-09-07T06:38:50.7816110Z     linked into a single library. Note that no bindings are generated for
2025-09-07T06:38:50.7816240Z     functions in ``sycl_sources`` per se. To bind to a SYCL kernel, you must
2025-09-07T06:38:50.7816420Z     create a C++ function that calls it, and either declare or define this
2025-09-07T06:38:50.7816530Z     C++ function in one of the ``cpp_sources`` (and include its name
2025-09-07T06:38:50.7816580Z     in ``functions``).
2025-09-07T06:38:50.7816620Z     
2025-09-07T06:38:50.7816660Z     
2025-09-07T06:38:50.7816700Z     
2025-09-07T06:38:50.7816830Z     See :func:`load` for a description of arguments omitted below.
2025-09-07T06:38:50.7816870Z     
2025-09-07T06:38:50.7816910Z     Args:
2025-09-07T06:38:50.7817040Z         cpp_sources: A string, or list of strings, containing C++ source code.
2025-09-07T06:38:50.7817170Z         cuda_sources: A string, or list of strings, containing CUDA source code.
2025-09-07T06:38:50.7817310Z         sycl_sources: A string, or list of strings, containing SYCL source code.
2025-09-07T06:38:50.7817430Z         functions: A list of function names for which to generate function
2025-09-07T06:38:50.7817560Z             bindings. If a dictionary is given, it should map function names to
2025-09-07T06:38:50.7817670Z             docstrings (which are otherwise just the function names).
2025-09-07T06:38:50.7817810Z         with_cuda: Determines whether CUDA headers and libraries are added to
2025-09-07T06:38:50.7817900Z             the build. If set to ``None`` (default), this value is
2025-09-07T06:38:50.7818030Z             automatically determined based on whether ``cuda_sources`` is
2025-09-07T06:38:50.7818120Z             provided. Set it to ``True`` to force CUDA headers
2025-09-07T06:38:50.7818180Z             and libraries to be included.
2025-09-07T06:38:50.7818310Z         with_sycl: Determines whether SYCL headers and libraries are added to
2025-09-07T06:38:50.7818410Z             the build. If set to ``None`` (default), this value is
2025-09-07T06:38:50.7818530Z             automatically determined based on whether ``sycl_sources`` is
2025-09-07T06:38:50.7818670Z             provided. Set it to ``True`` to force SYCL headers
2025-09-07T06:38:50.7818740Z             and libraries to be included.
2025-09-07T06:38:50.7818860Z         with_pytorch_error_handling: Determines whether pytorch error and
2025-09-07T06:38:50.7818980Z             warning macros are handled by pytorch instead of pybind. To do
2025-09-07T06:38:50.7819110Z             this, each function ``foo`` is called via an intermediary ``_safe_foo``
2025-09-07T06:38:50.7819230Z             function. This redirection might cause issues in obscure cases
2025-09-07T06:38:50.7819340Z             of cpp. This flag should be set to ``False`` when this redirect
2025-09-07T06:38:50.7819390Z             causes issues.
2025-09-07T06:38:50.7819550Z         no_implicit_headers: If ``True``, skips automatically adding headers, most notably
2025-09-07T06:38:50.7819720Z             ``#include <torch/extension.h>`` and ``#include <torch/types.h>`` lines.
2025-09-07T06:38:50.7819820Z             Use this option to improve cold start times when you
2025-09-07T06:38:50.7819970Z             already include the necessary headers in your source code. Default: ``False``.
2025-09-07T06:38:50.7820010Z     
2025-09-07T06:38:50.7820050Z     Example:
2025-09-07T06:38:50.7820140Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CPP_EXT)
2025-09-07T06:38:50.7820240Z         >>> from torch.utils.cpp_extension import load_inline
2025-09-07T06:38:50.7820290Z         >>> source = """
2025-09-07T06:38:50.7820370Z         at::Tensor sin_add(at::Tensor x, at::Tensor y) {
2025-09-07T06:38:50.7820430Z           return x.sin() + y.sin();
2025-09-07T06:38:50.7820470Z         }
2025-09-07T06:38:50.7820510Z         """
2025-09-07T06:38:50.7820600Z         >>> module = load_inline(name='inline_extension',
2025-09-07T06:38:50.7820670Z         ...                      cpp_sources=[source],
2025-09-07T06:38:50.7820740Z         ...                      functions=['sin_add'])
2025-09-07T06:38:50.7820780Z     
2025-09-07T06:38:50.7820820Z     .. note::
2025-09-07T06:38:50.7820970Z         Since load_inline will just-in-time compile the source code, please ensure
2025-09-07T06:38:50.7821120Z         that you have the right toolchains installed in the runtime. For example,
2025-09-07T06:38:50.7821260Z         when loading C++, make sure a C++ compiler is available. If you're loading
2025-09-07T06:38:50.7821400Z         a CUDA extension, you will need to additionally install the corresponding CUDA
2025-09-07T06:38:50.7821580Z         toolkit (nvcc and any other dependencies your code has). Compiling toolchains
2025-09-07T06:38:50.7821720Z         are not included when you install torch and must be additionally installed.
2025-09-07T06:38:50.7821760Z     
2025-09-07T06:38:50.7821910Z         During compiling, by default, the Ninja backend uses #CPUS + 2 workers to build
2025-09-07T06:38:50.7822040Z         the extension. This may use up too many resources on some systems. One
2025-09-07T06:38:50.7822180Z         can control the number of workers by setting the `MAX_JOBS` environment
2025-09-07T06:38:50.7822240Z         variable to a non-negative number.
2025-09-07T06:38:50.7822290Z     
2025-09-07T06:38:50.7822440Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7822480Z     
2025-09-07T06:38:50.7822530Z       warnings.warn(msg)
2025-09-07T06:38:50.7822570Z     
2025-09-07T06:38:50.7822670Z --- Parse Warning: 118 / 146 ---
2025-09-07T06:38:50.7823360Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DistributedSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/distributed.py line=18.
2025-09-07T06:38:50.7823510Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7823640Z     Sampler that restricts data loading to a subset of the dataset.
2025-09-07T06:38:50.7823680Z     
2025-09-07T06:38:50.7823780Z         It is especially useful in conjunction with
2025-09-07T06:38:50.7823940Z         :class:`torch.nn.parallel.DistributedDataParallel`. In such a case, each
2025-09-07T06:38:50.7824100Z         process can pass a :class:`~torch.utils.data.DistributedSampler` instance as a
2025-09-07T06:38:50.7824240Z         :class:`~torch.utils.data.DataLoader` sampler, and load a subset of the
2025-09-07T06:38:50.7824310Z         original dataset that is exclusive to it.
2025-09-07T06:38:50.7824350Z     
2025-09-07T06:38:50.7824400Z         .. note::
2025-09-07T06:38:50.7824540Z             Dataset is assumed to be of constant size and that any instance of it always
2025-09-07T06:38:50.7824620Z             returns the same elements in the same order.
2025-09-07T06:38:50.7824680Z     
2025-09-07T06:38:50.7824720Z         Args:
2025-09-07T06:38:50.7824790Z             dataset: Dataset used for sampling.
2025-09-07T06:38:50.7824920Z             num_replicas (int, optional): Number of processes participating in
2025-09-07T06:38:50.7825070Z                 distributed training. By default, :attr:`world_size` is retrieved from the
2025-09-07T06:38:50.7825140Z                 current distributed group.
2025-09-07T06:38:50.7825280Z             rank (int, optional): Rank of the current process within :attr:`num_replicas`.
2025-09-07T06:38:50.7825400Z                 By default, :attr:`rank` is retrieved from the current distributed
2025-09-07T06:38:50.7825450Z                 group.
2025-09-07T06:38:50.7825580Z             shuffle (bool, optional): If ``True`` (default), sampler will shuffle the
2025-09-07T06:38:50.7825640Z                 indices.
2025-09-07T06:38:50.7825750Z             seed (int, optional): random seed used to shuffle the sampler if
2025-09-07T06:38:50.7825870Z                 :attr:`shuffle=True`. This number should be identical across all
2025-09-07T06:38:50.7825970Z                 processes in the distributed group. Default: ``0``.
2025-09-07T06:38:50.7826100Z             drop_last (bool, optional): if ``True``, then the sampler will drop the
2025-09-07T06:38:50.7826220Z                 tail of the data to make it evenly divisible across the number of
2025-09-07T06:38:50.7826370Z                 replicas. If ``False``, the sampler will add extra indices to make
2025-09-07T06:38:50.7826500Z                 the data evenly divisible across the replicas. Default: ``False``.
2025-09-07T06:38:50.7826540Z     
2025-09-07T06:38:50.7826580Z         .. warning::
2025-09-07T06:38:50.7826720Z             In distributed mode, calling the :meth:`set_epoch` method at
2025-09-07T06:38:50.7826880Z             the beginning of each epoch **before** creating the :class:`DataLoader` iterator
2025-09-07T06:38:50.7827030Z             is necessary to make shuffling work properly across multiple epochs. Otherwise,
2025-09-07T06:38:50.7827100Z             the same ordering will be always used.
2025-09-07T06:38:50.7827140Z     
2025-09-07T06:38:50.7827190Z         Example::
2025-09-07T06:38:50.7827230Z     
2025-09-07T06:38:50.7827280Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7827420Z             >>> sampler = DistributedSampler(dataset) if is_distributed else None
2025-09-07T06:38:50.7827530Z             >>> loader = DataLoader(dataset, shuffle=(sampler is None),
2025-09-07T06:38:50.7827600Z             ...                     sampler=sampler)
2025-09-07T06:38:50.7827690Z             >>> for epoch in range(start_epoch, n_epochs):
2025-09-07T06:38:50.7827740Z             ...     if is_distributed:
2025-09-07T06:38:50.7827810Z             ...         sampler.set_epoch(epoch)
2025-09-07T06:38:50.7827870Z             ...     train(loader)
2025-09-07T06:38:50.7827910Z         
2025-09-07T06:38:50.7828060Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7828100Z     
2025-09-07T06:38:50.7828150Z       warnings.warn(msg)
2025-09-07T06:38:50.7828190Z     
2025-09-07T06:38:50.7828290Z --- Parse Warning: 119 / 146 ---
2025-09-07T06:38:50.7829020Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=WeightedRandomSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/sampler.py line=227.
2025-09-07T06:38:50.7829180Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7829340Z     Samples elements from ``[0,..,len(weights)-1]`` with given probabilities (weights).
2025-09-07T06:38:50.7829380Z     
2025-09-07T06:38:50.7829420Z         Args:
2025-09-07T06:38:50.7829570Z             weights (sequence)   : a sequence of weights, not necessary summing up to one
2025-09-07T06:38:50.7829650Z             num_samples (int): number of samples to draw
2025-09-07T06:38:50.7829800Z             replacement (bool): if ``True``, samples are drawn with replacement.
2025-09-07T06:38:50.7829930Z                 If not, they are drawn without replacement, which means that when a
2025-09-07T06:38:50.7830060Z                 sample index is drawn for a row, it cannot be drawn again for that row.
2025-09-07T06:38:50.7830160Z             generator (Generator): Generator used in sampling.
2025-09-07T06:38:50.7830200Z     
2025-09-07T06:38:50.7830250Z         Example:
2025-09-07T06:38:50.7830330Z             >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-09-07T06:38:50.7830380Z             >>> list(
2025-09-07T06:38:50.7830440Z             ...     WeightedRandomSampler(
2025-09-07T06:38:50.7830530Z             ...         [0.1, 0.9, 0.4, 0.7, 3.0, 0.6], 5, replacement=True
2025-09-07T06:38:50.7830580Z             ...     )
2025-09-07T06:38:50.7830620Z             ... )
2025-09-07T06:38:50.7830660Z             [4, 4, 1, 4, 5]
2025-09-07T06:38:50.7830710Z             >>> list(
2025-09-07T06:38:50.7830770Z             ...     WeightedRandomSampler(
2025-09-07T06:38:50.7830860Z             ...         [0.9, 0.4, 0.05, 0.2, 0.3, 0.1], 5, replacement=False
2025-09-07T06:38:50.7830910Z             ...     )
2025-09-07T06:38:50.7830950Z             ... )
2025-09-07T06:38:50.7831020Z             [0, 1, 4, 3, 2]
2025-09-07T06:38:50.7831050Z         
2025-09-07T06:38:50.7831200Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7831240Z     
2025-09-07T06:38:50.7831290Z       warnings.warn(msg)
2025-09-07T06:38:50.7831330Z     
2025-09-07T06:38:50.7831430Z --- Parse Warning: 120 / 146 ---
2025-09-07T06:38:50.7832120Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BatchSampler in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/sampler.py line=300.
2025-09-07T06:38:50.7832280Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7832380Z     Wraps another sampler to yield a mini-batch of indices.
2025-09-07T06:38:50.7832420Z     
2025-09-07T06:38:50.7832460Z         Args:
2025-09-07T06:38:50.7832600Z             sampler (Sampler or Iterable): Base sampler. Can be any iterable object
2025-09-07T06:38:50.7832670Z             batch_size (int): Size of mini-batch.
2025-09-07T06:38:50.7832800Z             drop_last (bool): If ``True``, the sampler will drop the last batch if
2025-09-07T06:38:50.7832880Z                 its size would be less than ``batch_size``
2025-09-07T06:38:50.7832920Z     
2025-09-07T06:38:50.7832960Z         Example:
2025-09-07T06:38:50.7833000Z             >>> list(
2025-09-07T06:38:50.7833060Z             ...     BatchSampler(
2025-09-07T06:38:50.7833180Z             ...         SequentialSampler(range(10)), batch_size=3, drop_last=False
2025-09-07T06:38:50.7833230Z             ...     )
2025-09-07T06:38:50.7833270Z             ... )
2025-09-07T06:38:50.7833330Z             [[0, 1, 2], [3, 4, 5], [6, 7, 8], [9]]
2025-09-07T06:38:50.7833370Z             >>> list(
2025-09-07T06:38:50.7833540Z             ...     BatchSampler(SequentialSampler(range(10)), batch_size=3, drop_last=True)
2025-09-07T06:38:50.7833580Z             ... )
2025-09-07T06:38:50.7833640Z             [[0, 1, 2], [3, 4, 5], [6, 7, 8]]
2025-09-07T06:38:50.7833680Z         
2025-09-07T06:38:50.7833830Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7833870Z     
2025-09-07T06:38:50.7833920Z       warnings.warn(msg)
2025-09-07T06:38:50.7833960Z     
2025-09-07T06:38:50.7836860Z --- Parse Warning: 121 / 146 ---
2025-09-07T06:38:50.7837550Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=IterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/datapipe.py line=56.
2025-09-07T06:38:50.7837790Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7837830Z     
2025-09-07T06:38:50.7837890Z     Iterable-style DataPipe.
2025-09-07T06:38:50.7837930Z     
2025-09-07T06:38:50.7838080Z     All DataPipes that represent an iterable of data samples should subclass this.
2025-09-07T06:38:50.7838240Z     This style of DataPipes is particularly useful when data come from a stream, or
2025-09-07T06:38:50.7838450Z     when the number of samples is too large to fit them all in memory. ``IterDataPipe`` is lazily initialized and its
2025-09-07T06:38:50.7838630Z     elements are computed only when ``next()`` is called on the iterator of an ``IterDataPipe``.
2025-09-07T06:38:50.7838670Z     
2025-09-07T06:38:50.7838810Z     All subclasses should overwrite :meth:`__iter__`, which would return an
2025-09-07T06:38:50.7839020Z     iterator of samples in this DataPipe. Calling ``__iter__`` of an ``IterDataPipe`` automatically invokes its
2025-09-07T06:38:50.7839230Z     method ``reset()``, which by default performs no operation. When writing a custom ``IterDataPipe``, users should
2025-09-07T06:38:50.7839400Z     override ``reset()`` if necessary. The common usages include resetting buffers, pointers,
2025-09-07T06:38:50.7839550Z     and various state variables within the custom ``IterDataPipe``.
2025-09-07T06:38:50.7839590Z     
2025-09-07T06:38:50.7839630Z     Note:
2025-09-07T06:38:50.7839760Z         Only `one` iterator can be valid for each ``IterDataPipe`` at a time,
2025-09-07T06:38:50.7839990Z         and the creation a second iterator will invalidate the first one. This constraint is necessary because
2025-09-07T06:38:50.7840210Z         some ``IterDataPipe`` have internal buffers, whose states can become invalid if there are multiple iterators.
2025-09-07T06:38:50.7840370Z         The code example below presents details on how this constraint looks in practice.
2025-09-07T06:38:50.7840590Z         If you have any feedback related to this constraint, please see `GitHub IterDataPipe Single Iterator Issue`_.
2025-09-07T06:38:50.7840630Z     
2025-09-07T06:38:50.7840800Z     These DataPipes can be invoked in two ways, using the class constructor or applying their
2025-09-07T06:38:50.7841020Z     functional form onto an existing ``IterDataPipe`` (recommended, available to most but not all DataPipes).
2025-09-07T06:38:50.7841210Z     You can chain multiple `IterDataPipe` together to form a pipeline that will perform multiple
2025-09-07T06:38:50.7841260Z     operations in succession.
2025-09-07T06:38:50.7841300Z     
2025-09-07T06:38:50.7841390Z     .. _GitHub IterDataPipe Single Iterator Issue:
2025-09-07T06:38:50.7841470Z         https://github.com/pytorch/data/issues/45
2025-09-07T06:38:50.7841510Z     
2025-09-07T06:38:50.7841550Z     Note:
2025-09-07T06:38:50.7841690Z         When a subclass is used with :class:`~torch.utils.data.DataLoader`, each
2025-09-07T06:38:50.7841850Z         item in the DataPipe will be yielded from the :class:`~torch.utils.data.DataLoader`
2025-09-07T06:38:50.7841990Z         iterator. When :attr:`num_workers > 0`, each worker process will have a
2025-09-07T06:38:50.7842180Z         different copy of the DataPipe object, so it is often desired to configure
2025-09-07T06:38:50.7842330Z         each copy independently to avoid having duplicate data returned from the
2025-09-07T06:38:50.7842480Z         workers. :func:`~torch.utils.data.get_worker_info`, when called in a worker
2025-09-07T06:38:50.7842630Z         process, returns information about the worker. It can be used in either the
2025-09-07T06:38:50.7842780Z         dataset's :meth:`__iter__` method or the :class:`~torch.utils.data.DataLoader` 's
2025-09-07T06:38:50.7842890Z         :attr:`worker_init_fn` option to modify each copy's behavior.
2025-09-07T06:38:50.7842930Z     
2025-09-07T06:38:50.7842970Z     Examples:
2025-09-07T06:38:50.7843020Z         General Usage:
2025-09-07T06:38:50.7843100Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7843230Z             >>> from torchdata.datapipes.iter import IterableWrapper, Mapper
2025-09-07T06:38:50.7843300Z             >>> dp = IterableWrapper(range(10))
2025-09-07T06:38:50.7843420Z             >>> map_dp_1 = Mapper(dp, lambda x: x + 1)  # Using class constructor
2025-09-07T06:38:50.7843480Z             >>> map_dp_2 = dp.map(
2025-09-07T06:38:50.7843530Z             ...     lambda x: x + 1
2025-09-07T06:38:50.7843610Z             ... )  # Using functional form (recommended)
2025-09-07T06:38:50.7843660Z             >>> list(map_dp_1)
2025-09-07T06:38:50.7843720Z             [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
2025-09-07T06:38:50.7843770Z             >>> list(map_dp_2)
2025-09-07T06:38:50.7843830Z             [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]
2025-09-07T06:38:50.7843920Z             >>> filter_dp = map_dp_1.filter(lambda x: x % 2 == 0)
2025-09-07T06:38:50.7843970Z             >>> list(filter_dp)
2025-09-07T06:38:50.7844020Z             [2, 4, 6, 8, 10]
2025-09-07T06:38:50.7844090Z         Single Iterator Constraint Example:
2025-09-07T06:38:50.7844220Z             >>> from torchdata.datapipes.iter import IterableWrapper, Mapper
2025-09-07T06:38:50.7844300Z             >>> source_dp = IterableWrapper(range(10))
2025-09-07T06:38:50.7844360Z             >>> it1 = iter(source_dp)
2025-09-07T06:38:50.7844430Z             >>> list(it1)
2025-09-07T06:38:50.7844480Z             [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
2025-09-07T06:38:50.7844540Z             >>> it1 = iter(source_dp)
2025-09-07T06:38:50.7844590Z             >>> it2 = iter(
2025-09-07T06:38:50.7844640Z             ...     source_dp
2025-09-07T06:38:50.7844760Z             ... )  # The creation of a new iterator invalidates `it1`
2025-09-07T06:38:50.7844810Z             >>> next(it2)
2025-09-07T06:38:50.7844850Z             0
2025-09-07T06:38:50.7844970Z             >>> next(it1)  # Further usage of `it1` will raise a `RunTimeError`
2025-09-07T06:38:50.7845010Z     
2025-09-07T06:38:50.7845160Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7845200Z     
2025-09-07T06:38:50.7845260Z       warnings.warn(msg)
2025-09-07T06:38:50.7845290Z     
2025-09-07T06:38:50.7845410Z --- Parse Warning: 122 / 146 ---
2025-09-07T06:38:50.7846150Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=FileOpenerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/fileopener.py line=18.
2025-09-07T06:38:50.7846310Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7846350Z     
2025-09-07T06:38:50.7846570Z     Given pathnames, opens files and yield pathname and file stream in a tuple (functional name: ``open_files``).
2025-09-07T06:38:50.7846610Z     
2025-09-07T06:38:50.7846650Z     Args:
2025-09-07T06:38:50.7846750Z         datapipe: Iterable datapipe that provides pathnames
2025-09-07T06:38:50.7846860Z         mode: An optional string that specifies the mode in which
2025-09-07T06:38:50.7847020Z             the file is opened by ``open()``. It defaults to ``r``, other options are
2025-09-07T06:38:50.7847120Z             ``b`` for reading in binary mode and ``t`` for text mode.
2025-09-07T06:38:50.7847240Z         encoding: An optional string that specifies the encoding of the
2025-09-07T06:38:50.7847400Z             underlying file. It defaults to ``None`` to match the default encoding of ``open``.
2025-09-07T06:38:50.7847470Z         length: Nominal length of the datapipe
2025-09-07T06:38:50.7847510Z     
2025-09-07T06:38:50.7847550Z     Note:
2025-09-07T06:38:50.7847720Z         The opened file handles will be closed by Python's GC periodically. Users can choose
2025-09-07T06:38:50.7847780Z         to close them explicitly.
2025-09-07T06:38:50.7847810Z     
2025-09-07T06:38:50.7847880Z     Example:
2025-09-07T06:38:50.7847930Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7848010Z         >>> from torchdata.datapipes.iter import (
2025-09-07T06:38:50.7848060Z         ...     FileLister,
2025-09-07T06:38:50.7848110Z         ...     FileOpener,
2025-09-07T06:38:50.7848160Z         ...     StreamReader,
2025-09-07T06:38:50.7848200Z         ... )
2025-09-07T06:38:50.7848330Z         >>> dp = FileLister(root=".").filter(lambda fname: fname.endswith(".txt"))
2025-09-07T06:38:50.7848390Z         >>> dp = FileOpener(dp)
2025-09-07T06:38:50.7848440Z         >>> dp = StreamReader(dp)
2025-09-07T06:38:50.7848490Z         >>> list(dp)
2025-09-07T06:38:50.7848540Z         [('./abc.txt', 'abc')]
2025-09-07T06:38:50.7848580Z     
2025-09-07T06:38:50.7848730Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7848770Z     
2025-09-07T06:38:50.7848820Z       warnings.warn(msg)
2025-09-07T06:38:50.7848860Z     
2025-09-07T06:38:50.7848960Z --- Parse Warning: 123 / 146 ---
2025-09-07T06:38:50.7849690Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=GrouperIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/grouping.py line=155.
2025-09-07T06:38:50.7849910Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7849950Z     
2025-09-07T06:38:50.7850190Z     Groups data from IterDataPipe by keys from ``group_key_fn``, yielding a ``DataChunk`` with batch size up to ``group_size``.
2025-09-07T06:38:50.7850230Z     
2025-09-07T06:38:50.7850310Z     (functional name: ``groupby``).
2025-09-07T06:38:50.7850350Z     
2025-09-07T06:38:50.7850580Z     The samples are read sequentially from the source ``datapipe``, and a batch of samples belonging to the same group
2025-09-07T06:38:50.7850760Z     will be yielded as soon as the size of the batch reaches ``group_size``. When the buffer is full,
2025-09-07T06:38:50.7850940Z     the DataPipe will yield the largest batch with the same key, provided that its size is larger
2025-09-07T06:38:50.7851130Z     than ``guaranteed_group_size``. If its size is smaller, it will be dropped if ``drop_remaining=True``.
2025-09-07T06:38:50.7851170Z     
2025-09-07T06:38:50.7851400Z     After iterating through the entirety of source ``datapipe``, everything not dropped due to the buffer capacity
2025-09-07T06:38:50.7851580Z     will be yielded from the buffer, even if the group sizes are smaller than ``guaranteed_group_size``.
2025-09-07T06:38:50.7851630Z     
2025-09-07T06:38:50.7851670Z     Args:
2025-09-07T06:38:50.7851750Z         datapipe: Iterable datapipe to be grouped
2025-09-07T06:38:50.7851910Z         group_key_fn: Function used to generate group key from the data of the source datapipe
2025-09-07T06:38:50.7852060Z         keep_key: Option to yield the matching key along with the items in a tuple,
2025-09-07T06:38:50.7852170Z             resulting in `(key, [items])` otherwise returning [items]
2025-09-07T06:38:50.7852260Z         buffer_size: The size of buffer for ungrouped data
2025-09-07T06:38:50.7852450Z         group_size: The max size of each group, a batch is yielded as soon as it reaches this size
2025-09-07T06:38:50.7852660Z         guaranteed_group_size: The guaranteed minimum group size to be yielded in case the buffer is full
2025-09-07T06:38:50.7852870Z         drop_remaining: Specifies if the group smaller than ``guaranteed_group_size`` will be dropped from buffer
2025-09-07T06:38:50.7852920Z             when the buffer is full
2025-09-07T06:38:50.7852970Z     
2025-09-07T06:38:50.7853010Z     Example:
2025-09-07T06:38:50.7853060Z         >>> import os
2025-09-07T06:38:50.7853110Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7853220Z         >>> from torchdata.datapipes.iter import IterableWrapper
2025-09-07T06:38:50.7853270Z         >>> def group_fn(file):
2025-09-07T06:38:50.7853380Z         ...     return os.path.basename(file).split(".")[0]
2025-09-07T06:38:50.7853450Z         >>> source_dp = IterableWrapper(
2025-09-07T06:38:50.7853550Z         ...     ["a.png", "b.png", "a.json", "b.json", "a.jpg", "c.json"]
2025-09-07T06:38:50.7853590Z         ... )
2025-09-07T06:38:50.7853680Z         >>> dp0 = source_dp.groupby(group_key_fn=group_fn)
2025-09-07T06:38:50.7853720Z         >>> list(dp0)
2025-09-07T06:38:50.7853820Z         [['a.png', 'a.json', 'a.jpg'], ['b.png', 'b.json'], ['c.json']]
2025-09-07T06:38:50.7853940Z         >>> # A group is yielded as soon as its size equals to `group_size`
2025-09-07T06:38:50.7854050Z         >>> dp1 = source_dp.groupby(group_key_fn=group_fn, group_size=2)
2025-09-07T06:38:50.7854100Z         >>> list(dp1)
2025-09-07T06:38:50.7854200Z         [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']]
2025-09-07T06:38:50.7854410Z         >>> # Scenario where `buffer` is full, and group 'a' needs to be yielded since its size > `guaranteed_group_size`
2025-09-07T06:38:50.7854470Z         >>> dp2 = source_dp.groupby(
2025-09-07T06:38:50.7854530Z         ...     group_key_fn=group_fn,
2025-09-07T06:38:50.7854580Z         ...     buffer_size=3,
2025-09-07T06:38:50.7854630Z         ...     group_size=3,
2025-09-07T06:38:50.7854690Z         ...     guaranteed_group_size=2,
2025-09-07T06:38:50.7854760Z         ... )
2025-09-07T06:38:50.7854800Z         >>> list(dp2)
2025-09-07T06:38:50.7854900Z         [['a.png', 'a.json'], ['b.png', 'b.json'], ['a.jpg'], ['c.json']]
2025-09-07T06:38:50.7854940Z     
2025-09-07T06:38:50.7855090Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7855130Z     
2025-09-07T06:38:50.7855200Z       warnings.warn(msg)
2025-09-07T06:38:50.7855240Z     
2025-09-07T06:38:50.7855340Z --- Parse Warning: 124 / 146 ---
2025-09-07T06:38:50.7856090Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DemultiplexerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=375.
2025-09-07T06:38:50.7856250Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7856290Z     
2025-09-07T06:38:50.7856550Z     Splits the input DataPipe into multiple child DataPipes, using the given classification function (functional name: ``demux``).
2025-09-07T06:38:50.7856590Z     
2025-09-07T06:38:50.7856710Z     A list of the child DataPipes is returned from this operation.
2025-09-07T06:38:50.7856750Z     
2025-09-07T06:38:50.7856790Z     Args:
2025-09-07T06:38:50.7856870Z         datapipe: Iterable DataPipe being filtered
2025-09-07T06:38:50.7856980Z         num_instances: number of instances of the DataPipe to create
2025-09-07T06:38:50.7857200Z         classifier_fn: a function that maps values to an integer within the range ``[0, num_instances - 1]`` or ``None``
2025-09-07T06:38:50.7857400Z         drop_none: defaults to ``False``, if ``True``, the function will skip over elements classified as ``None``
2025-09-07T06:38:50.7857610Z         buffer_size: this defines the maximum number of inputs that the buffer can hold across all child
2025-09-07T06:38:50.7857720Z             DataPipes while waiting for their values to be yielded.
2025-09-07T06:38:50.7857830Z             Defaults to ``1000``. Use ``-1`` for the unlimited buffer.
2025-09-07T06:38:50.7857870Z     
2025-09-07T06:38:50.7857910Z     Examples:
2025-09-07T06:38:50.7857990Z         >>> # xdoctest: +REQUIRES(module:torchdata)
2025-09-07T06:38:50.7858100Z         >>> from torchdata.datapipes.iter import IterableWrapper
2025-09-07T06:38:50.7858150Z         >>> def odd_or_even(n):
2025-09-07T06:38:50.7858200Z         ...     return n % 2
2025-09-07T06:38:50.7858280Z         >>> source_dp = IterableWrapper(range(5))
2025-09-07T06:38:50.7858410Z         >>> dp1, dp2 = source_dp.demux(num_instances=2, classifier_fn=odd_or_even)
2025-09-07T06:38:50.7858470Z         >>> list(dp1)
2025-09-07T06:38:50.7858510Z         [0, 2, 4]
2025-09-07T06:38:50.7858560Z         >>> list(dp2)
2025-09-07T06:38:50.7858600Z         [1, 3]
2025-09-07T06:38:50.7858740Z         >>> # It can also filter out any element that gets `None` from the `classifier_fn`
2025-09-07T06:38:50.7858810Z         >>> def odd_or_even_no_zero(n):
2025-09-07T06:38:50.7858870Z         ...     return n % 2 if n != 0 else None
2025-09-07T06:38:50.7858940Z         >>> dp1, dp2 = source_dp.demux(
2025-09-07T06:38:50.7859060Z         ...     num_instances=2, classifier_fn=odd_or_even_no_zero, drop_none=True
2025-09-07T06:38:50.7859110Z         ... )
2025-09-07T06:38:50.7859150Z         >>> list(dp1)
2025-09-07T06:38:50.7859190Z         [2, 4]
2025-09-07T06:38:50.7859230Z         >>> list(dp2)
2025-09-07T06:38:50.7859280Z         [1, 3]
2025-09-07T06:38:50.7859310Z     
2025-09-07T06:38:50.7859470Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7859510Z     
2025-09-07T06:38:50.7859560Z       warnings.warn(msg)
2025-09-07T06:38:50.7859600Z     
2025-09-07T06:38:50.7859700Z --- Parse Warning: 125 / 146 ---
2025-09-07T06:38:50.7860430Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MultiplexerIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=594.
2025-09-07T06:38:50.7860610Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7860650Z     
2025-09-07T06:38:50.7860850Z     Yields one element at a time from each of the input Iterable DataPipes (functional name: ``mux``).
2025-09-07T06:38:50.7860900Z     
2025-09-07T06:38:50.7861100Z     As in, one element from the 1st input DataPipe, then one element from the 2nd DataPipe in the next iteration,
2025-09-07T06:38:50.7861220Z     and so on. It ends when the shortest input DataPipe is exhausted.
2025-09-07T06:38:50.7861260Z     
2025-09-07T06:38:50.7861300Z     Args:
2025-09-07T06:38:50.7861540Z         datapipes: Iterable DataPipes that will take turn to yield their elements, until the shortest DataPipe is exhausted
2025-09-07T06:38:50.7861580Z     
2025-09-07T06:38:50.7861620Z     Example:
2025-09-07T06:38:50.7861700Z         >>> # xdoctest: +REQUIRES(module:torchdata)
2025-09-07T06:38:50.7861810Z         >>> from torchdata.datapipes.iter import IterableWrapper
2025-09-07T06:38:50.7861860Z         >>> dp1, dp2, dp3 = (
2025-09-07T06:38:50.7861930Z         ...     IterableWrapper(range(3)),
2025-09-07T06:38:50.7862000Z         ...     IterableWrapper(range(10, 15)),
2025-09-07T06:38:50.7862070Z         ...     IterableWrapper(range(20, 25)),
2025-09-07T06:38:50.7862110Z         ... )
2025-09-07T06:38:50.7862170Z         >>> list(dp1.mux(dp2, dp3))
2025-09-07T06:38:50.7862220Z         [0, 10, 20, 1, 11, 21, 2, 12, 22]
2025-09-07T06:38:50.7862260Z     
2025-09-07T06:38:50.7862410Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7862450Z     
2025-09-07T06:38:50.7862500Z       warnings.warn(msg)
2025-09-07T06:38:50.7862580Z     
2025-09-07T06:38:50.7862690Z --- Parse Warning: 126 / 146 ---
2025-09-07T06:38:50.7863410Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ZipperIterDataPipe in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/utils/data/datapipes/iter/combining.py line=665.
2025-09-07T06:38:50.7863560Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7863600Z     
2025-09-07T06:38:50.7863790Z     Aggregates elements into a tuple from each of the input DataPipes (functional name: ``zip``).
2025-09-07T06:38:50.7863830Z     
2025-09-07T06:38:50.7864000Z     The output is stopped as soon as the shortest input DataPipe is exhausted.
2025-09-07T06:38:50.7864040Z     
2025-09-07T06:38:50.7864080Z     Args:
2025-09-07T06:38:50.7864170Z         *datapipes: Iterable DataPipes being aggregated
2025-09-07T06:38:50.7864210Z     
2025-09-07T06:38:50.7864250Z     Example:
2025-09-07T06:38:50.7864320Z         >>> # xdoctest: +REQUIRES(module:torchdata)
2025-09-07T06:38:50.7864430Z         >>> from torchdata.datapipes.iter import IterableWrapper
2025-09-07T06:38:50.7864480Z         >>> dp1, dp2, dp3 = (
2025-09-07T06:38:50.7864540Z         ...     IterableWrapper(range(5)),
2025-09-07T06:38:50.7864610Z         ...     IterableWrapper(range(10, 15)),
2025-09-07T06:38:50.7864680Z         ...     IterableWrapper(range(20, 25)),
2025-09-07T06:38:50.7864720Z         ... )
2025-09-07T06:38:50.7864780Z         >>> list(dp1.zip(dp2, dp3))
2025-09-07T06:38:50.7864860Z         [(0, 10, 20), (1, 11, 21), (2, 12, 22), (3, 13, 23), (4, 14, 24)]
2025-09-07T06:38:50.7864900Z     
2025-09-07T06:38:50.7865050Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7865100Z     
2025-09-07T06:38:50.7865150Z       warnings.warn(msg)
2025-09-07T06:38:50.7865190Z     
2025-09-07T06:38:50.7865290Z --- Parse Warning: 127 / 146 ---
2025-09-07T06:38:50.7865960Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=assert_close in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_comparison.py line=1331.
2025-09-07T06:38:50.7866140Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7866240Z     Asserts that ``actual`` and ``expected`` are close.
2025-09-07T06:38:50.7866280Z     
2025-09-07T06:38:50.7866500Z         If ``actual`` and ``expected`` are strided, non-quantized, real-valued, and finite, they are considered close if
2025-09-07T06:38:50.7866540Z     
2025-09-07T06:38:50.7866590Z         .. math::
2025-09-07T06:38:50.7866630Z     
2025-09-07T06:38:50.7866840Z             \lvert \text{actual} - \text{expected} \rvert \le \texttt{atol} + \texttt{rtol} \cdot \lvert \text{expected} \rvert
2025-09-07T06:38:50.7866880Z     
2025-09-07T06:38:50.7867090Z         Non-finite values (``-inf`` and ``inf``) are only considered close if and only if they are equal. ``NaN``'s are
2025-09-07T06:38:50.7867210Z         only considered equal to each other if ``equal_nan`` is ``True``.
2025-09-07T06:38:50.7867250Z     
2025-09-07T06:38:50.7867370Z         In addition, they are only considered close if they have the same
2025-09-07T06:38:50.7867410Z     
2025-09-07T06:38:50.7867540Z         - :attr:`~torch.Tensor.device` (if ``check_device`` is ``True``),
2025-09-07T06:38:50.7867620Z         - ``dtype`` (if ``check_dtype`` is ``True``),
2025-09-07T06:38:50.7867700Z         - ``layout`` (if ``check_layout`` is ``True``), and
2025-09-07T06:38:50.7867780Z         - stride (if ``check_stride`` is ``True``).
2025-09-07T06:38:50.7867820Z     
2025-09-07T06:38:50.7868000Z         If either ``actual`` or ``expected`` is a meta tensor, only the attribute checks will be performed.
2025-09-07T06:38:50.7868060Z     
2025-09-07T06:38:50.7868270Z         If ``actual`` and ``expected`` are sparse (either having COO, CSR, CSC, BSR, or BSC layout), their strided members are
2025-09-07T06:38:50.7868500Z         checked individually. Indices, namely ``indices`` for COO, ``crow_indices`` and ``col_indices`` for CSR and BSR,
2025-09-07T06:38:50.7868640Z         or ``ccol_indices``  and ``row_indices`` for CSC and BSC layouts, respectively,
2025-09-07T06:38:50.7868860Z         are always checked for equality whereas the values are checked for closeness according to the definition above.
2025-09-07T06:38:50.7868900Z     
2025-09-07T06:38:50.7869070Z         If ``actual`` and ``expected`` are quantized, they are considered close if they have the same
2025-09-07T06:38:50.7869310Z         :meth:`~torch.Tensor.qscheme` and the result of :meth:`~torch.Tensor.dequantize` is close according to the
2025-09-07T06:38:50.7869360Z         definition above.
2025-09-07T06:38:50.7869400Z     
2025-09-07T06:38:50.7869580Z         ``actual`` and ``expected`` can be :class:`~torch.Tensor`'s or any tensor-or-scalar-likes from which
2025-09-07T06:38:50.7869810Z         :class:`torch.Tensor`'s can be constructed with :func:`torch.as_tensor`. Except for Python scalars the input types
2025-09-07T06:38:50.7870030Z         have to be directly related. In addition, ``actual`` and ``expected`` can be :class:`~collections.abc.Sequence`'s
2025-09-07T06:38:50.7870250Z         or :class:`~collections.abc.Mapping`'s in which case they are considered close if their structure matches and all
2025-09-07T06:38:50.7870390Z         their elements are considered close according to the above definition.
2025-09-07T06:38:50.7870430Z     
2025-09-07T06:38:50.7870470Z         .. note::
2025-09-07T06:38:50.7870510Z     
2025-09-07T06:38:50.7870710Z             Python scalars are an exception to the type relation requirement, because their :func:`type`, i.e.
2025-09-07T06:38:50.7870910Z             :class:`int`, :class:`float`, and :class:`complex`, is equivalent to the ``dtype`` of a tensor-like. Thus,
2025-09-07T06:38:50.7871080Z             Python scalars of different types can be checked, but require ``check_dtype=False``.
2025-09-07T06:38:50.7871150Z     
2025-09-07T06:38:50.7871190Z         Args:
2025-09-07T06:38:50.7871250Z             actual (Any): Actual input.
2025-09-07T06:38:50.7871320Z             expected (Any): Expected input.
2025-09-07T06:38:50.7871550Z             allow_subclasses (bool): If ``True`` (default) and except for Python scalars, inputs of directly related types
2025-09-07T06:38:50.7871650Z                 are allowed. Otherwise type equality is required.
2025-09-07T06:38:50.7871870Z             rtol (Optional[float]): Relative tolerance. If specified ``atol`` must also be specified. If omitted, default
2025-09-07T06:38:50.7872030Z                 values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-09-07T06:38:50.7872240Z             atol (Optional[float]): Absolute tolerance. If specified ``rtol`` must also be specified. If omitted, default
2025-09-07T06:38:50.7872400Z                 values based on the :attr:`~torch.Tensor.dtype` are selected with the below table.
2025-09-07T06:38:50.7872550Z             equal_nan (Union[bool, str]): If ``True``, two ``NaN`` values will be considered equal.
2025-09-07T06:38:50.7872730Z             check_device (bool): If ``True`` (default), asserts that corresponding tensors are on the same
2025-09-07T06:38:50.7872880Z                 :attr:`~torch.Tensor.device`. If this check is disabled, tensors on different
2025-09-07T06:38:50.7873020Z                 :attr:`~torch.Tensor.device`'s are moved to the CPU before being compared.
2025-09-07T06:38:50.7873230Z             check_dtype (bool): If ``True`` (default), asserts that corresponding tensors have the same ``dtype``. If this
2025-09-07T06:38:50.7873440Z                 check is disabled, tensors with different ``dtype``'s are promoted  to a common ``dtype`` (according to
2025-09-07T06:38:50.7873560Z                 :func:`torch.promote_types`) before being compared.
2025-09-07T06:38:50.7873770Z             check_layout (bool): If ``True`` (default), asserts that corresponding tensors have the same ``layout``. If this
2025-09-07T06:38:50.7873970Z                 check is disabled, tensors with different ``layout``'s are converted to strided tensors before being
2025-09-07T06:38:50.7874020Z                 compared.
2025-09-07T06:38:50.7874240Z             check_stride (bool): If ``True`` and corresponding tensors are strided, asserts that they have the same stride.
2025-09-07T06:38:50.7874450Z             msg (Optional[Union[str, Callable[[str], str]]]): Optional error message to use in case a failure occurs during
2025-09-07T06:38:50.7874650Z                 the comparison. Can also passed as callable in which case it will be called with the generated message and
2025-09-07T06:38:50.7874750Z                 should return the new message.
2025-09-07T06:38:50.7874780Z     
2025-09-07T06:38:50.7874830Z         Raises:
2025-09-07T06:38:50.7874970Z             ValueError: If no :class:`torch.Tensor` can be constructed from an input.
2025-09-07T06:38:50.7875080Z             ValueError: If only ``rtol`` or ``atol`` is specified.
2025-09-07T06:38:50.7875270Z             AssertionError: If corresponding inputs are not Python scalars and are not directly related.
2025-09-07T06:38:50.7875490Z             AssertionError: If ``allow_subclasses`` is ``False``, but corresponding inputs are not Python scalars and have
2025-09-07T06:38:50.7875540Z                 different types.
2025-09-07T06:38:50.7875760Z             AssertionError: If the inputs are :class:`~collections.abc.Sequence`'s, but their length does not match.
2025-09-07T06:38:50.7875970Z             AssertionError: If the inputs are :class:`~collections.abc.Mapping`'s, but their set of keys do not match.
2025-09-07T06:38:50.7876160Z             AssertionError: If corresponding tensors do not have the same :attr:`~torch.Tensor.shape`.
2025-09-07T06:38:50.7876340Z             AssertionError: If ``check_layout`` is ``True``, but corresponding tensors do not have the same
2025-09-07T06:38:50.7876460Z                 :attr:`~torch.Tensor.layout`.
2025-09-07T06:38:50.7876590Z             AssertionError: If only one of corresponding tensors is quantized.
2025-09-07T06:38:50.7876820Z             AssertionError: If corresponding tensors are quantized, but have different :meth:`~torch.Tensor.qscheme`'s.
2025-09-07T06:38:50.7877010Z             AssertionError: If ``check_device`` is ``True``, but corresponding tensors are not on the same
2025-09-07T06:38:50.7877080Z                 :attr:`~torch.Tensor.device`.
2025-09-07T06:38:50.7877280Z             AssertionError: If ``check_dtype`` is ``True``, but corresponding tensors do not have the same ``dtype``.
2025-09-07T06:38:50.7877490Z             AssertionError: If ``check_stride`` is ``True``, but corresponding strided tensors do not have the same stride.
2025-09-07T06:38:50.7877710Z             AssertionError: If the values of corresponding tensors are not close according to the definition above.
2025-09-07T06:38:50.7877750Z     
2025-09-07T06:38:50.7877960Z         The following table displays the default ``rtol`` and ``atol`` for different ``dtype``'s. In case of mismatching
2025-09-07T06:38:50.7878050Z         ``dtype``'s, the maximum of both tolerances is used.
2025-09-07T06:38:50.7878100Z     
2025-09-07T06:38:50.7878180Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7878260Z         | ``dtype``                 | ``rtol``   | ``atol`` |
2025-09-07T06:38:50.7878330Z         +===========================+============+==========+
2025-09-07T06:38:50.7878420Z         | :attr:`~torch.float16`    | ``1e-3``   | ``1e-5`` |
2025-09-07T06:38:50.7878490Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7878580Z         | :attr:`~torch.bfloat16`   | ``1.6e-2`` | ``1e-5`` |
2025-09-07T06:38:50.7878650Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7878770Z         | :attr:`~torch.float32`    | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:50.7878850Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7878930Z         | :attr:`~torch.float64`    | ``1e-7``   | ``1e-7`` |
2025-09-07T06:38:50.7879010Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7879090Z         | :attr:`~torch.complex32`  | ``1e-3``   | ``1e-5`` |
2025-09-07T06:38:50.7879170Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7879250Z         | :attr:`~torch.complex64`  | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:50.7879320Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7879410Z         | :attr:`~torch.complex128` | ``1e-7``   | ``1e-7`` |
2025-09-07T06:38:50.7879500Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7879580Z         | :attr:`~torch.quint8`     | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:50.7879660Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7879740Z         | :attr:`~torch.quint2x4`   | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:50.7879820Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7879900Z         | :attr:`~torch.quint4x2`   | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:50.7879970Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7880050Z         | :attr:`~torch.qint8`      | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:50.7880130Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7880210Z         | :attr:`~torch.qint32`     | ``1.3e-6`` | ``1e-5`` |
2025-09-07T06:38:50.7880290Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7880360Z         | other                     | ``0.0``    | ``0.0``  |
2025-09-07T06:38:50.7880440Z         +---------------------------+------------+----------+
2025-09-07T06:38:50.7880470Z     
2025-09-07T06:38:50.7880520Z         .. note::
2025-09-07T06:38:50.7880560Z     
2025-09-07T06:38:50.7880780Z             :func:`~torch.testing.assert_close` is highly configurable with strict default settings. Users are encouraged
2025-09-07T06:38:50.7881010Z             to :func:`~functools.partial` it to fit their use case. For example, if an equality check is needed, one might
2025-09-07T06:38:50.7881170Z             define an ``assert_equal`` that uses zero tolerances for every ``dtype`` by default:
2025-09-07T06:38:50.7881220Z     
2025-09-07T06:38:50.7881280Z             >>> import functools
2025-09-07T06:38:50.7881440Z             >>> assert_equal = functools.partial(torch.testing.assert_close, rtol=0, atol=0)
2025-09-07T06:38:50.7881500Z             >>> assert_equal(1e-9, 1e-10)
2025-09-07T06:38:50.7881570Z             Traceback (most recent call last):
2025-09-07T06:38:50.7881610Z             ...
2025-09-07T06:38:50.7881690Z             AssertionError: Scalars are not equal!
2025-09-07T06:38:50.7881730Z             <BLANKLINE>
2025-09-07T06:38:50.7881800Z             Expected 1e-10 but got 1e-09.
2025-09-07T06:38:50.7881870Z             Absolute difference: 9.000000000000001e-10
2025-09-07T06:38:50.7881930Z             Relative difference: 9.0
2025-09-07T06:38:50.7881970Z     
2025-09-07T06:38:50.7882010Z         Examples:
2025-09-07T06:38:50.7882080Z             >>> # tensor to tensor comparison
2025-09-07T06:38:50.7882160Z             >>> expected = torch.tensor([1e0, 1e-1, 1e-2])
2025-09-07T06:38:50.7882240Z             >>> actual = torch.acos(torch.cos(expected))
2025-09-07T06:38:50.7882320Z             >>> torch.testing.assert_close(actual, expected)
2025-09-07T06:38:50.7882370Z     
2025-09-07T06:38:50.7882430Z             >>> # scalar to scalar comparison
2025-09-07T06:38:50.7882480Z             >>> import math
2025-09-07T06:38:50.7882540Z             >>> expected = math.sqrt(2.0)
2025-09-07T06:38:50.7882600Z             >>> actual = 2.0 / math.sqrt(2.0)
2025-09-07T06:38:50.7882750Z             >>> torch.testing.assert_close(actual, expected)
2025-09-07T06:38:50.7882790Z     
2025-09-07T06:38:50.7882870Z             >>> # numpy array to numpy array comparison
2025-09-07T06:38:50.7882920Z             >>> import numpy as np
2025-09-07T06:38:50.7883000Z             >>> expected = np.array([1e0, 1e-1, 1e-2])
2025-09-07T06:38:50.7883070Z             >>> actual = np.arccos(np.cos(expected))
2025-09-07T06:38:50.7883160Z             >>> torch.testing.assert_close(actual, expected)
2025-09-07T06:38:50.7883200Z     
2025-09-07T06:38:50.7883270Z             >>> # sequence to sequence comparison
2025-09-07T06:38:50.7883330Z             >>> import numpy as np
2025-09-07T06:38:50.7883480Z             >>> # The types of the sequences do not have to match. They only have to have the same
2025-09-07T06:38:50.7883590Z             >>> # length and their elements have to match.
2025-09-07T06:38:50.7883690Z             >>> expected = [torch.tensor([1.0]), 2.0, np.array(3.0)]
2025-09-07T06:38:50.7883750Z             >>> actual = tuple(expected)
2025-09-07T06:38:50.7883840Z             >>> torch.testing.assert_close(actual, expected)
2025-09-07T06:38:50.7883880Z     
2025-09-07T06:38:50.7883950Z             >>> # mapping to mapping comparison
2025-09-07T06:38:50.7884020Z             >>> from collections import OrderedDict
2025-09-07T06:38:50.7884080Z             >>> import numpy as np
2025-09-07T06:38:50.7884140Z             >>> foo = torch.tensor(1.0)
2025-09-07T06:38:50.7884180Z             >>> bar = 2.0
2025-09-07T06:38:50.7884240Z             >>> baz = np.array(3.0)
2025-09-07T06:38:50.7884390Z             >>> # The types and a possible ordering of mappings do not have to match. They only
2025-09-07T06:38:50.7884520Z             >>> # have to have the same set of keys and their elements have to match.
2025-09-07T06:38:50.7884640Z             >>> expected = OrderedDict([("foo", foo), ("bar", bar), ("baz", baz)])
2025-09-07T06:38:50.7884730Z             >>> actual = {"baz": baz, "bar": bar, "foo": foo}
2025-09-07T06:38:50.7884820Z             >>> torch.testing.assert_close(actual, expected)
2025-09-07T06:38:50.7884860Z     
2025-09-07T06:38:50.7884950Z             >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-09-07T06:38:50.7885010Z             >>> actual = expected.clone()
2025-09-07T06:38:50.7885110Z             >>> # By default, directly related instances can be compared
2025-09-07T06:38:50.7885250Z             >>> torch.testing.assert_close(torch.nn.Parameter(actual), expected)
2025-09-07T06:38:50.7885390Z             >>> # This check can be made more strict with allow_subclasses=False
2025-09-07T06:38:50.7885460Z             >>> torch.testing.assert_close(
2025-09-07T06:38:50.7885580Z             ...     torch.nn.Parameter(actual), expected, allow_subclasses=False
2025-09-07T06:38:50.7885620Z             ... )
2025-09-07T06:38:50.7885690Z             Traceback (most recent call last):
2025-09-07T06:38:50.7885730Z             ...
2025-09-07T06:38:50.7885860Z             TypeError: No comparison pair was able to handle inputs of type
2025-09-07T06:38:50.7885990Z             <class 'torch.nn.parameter.Parameter'> and <class 'torch.Tensor'>.
2025-09-07T06:38:50.7886130Z             >>> # If the inputs are not directly related, they are never considered close
2025-09-07T06:38:50.7886240Z             >>> torch.testing.assert_close(actual.numpy(), expected)
2025-09-07T06:38:50.7886310Z             Traceback (most recent call last):
2025-09-07T06:38:50.7886350Z             ...
2025-09-07T06:38:50.7886530Z             TypeError: No comparison pair was able to handle inputs of type <class 'numpy.ndarray'>
2025-09-07T06:38:50.7886590Z             and <class 'torch.Tensor'>.
2025-09-07T06:38:50.7886750Z             >>> # Exceptions to these rules are Python scalars. They can be checked regardless of
2025-09-07T06:38:50.7886820Z             >>> # their type if check_dtype=False.
2025-09-07T06:38:50.7886930Z             >>> torch.testing.assert_close(1.0, 1, check_dtype=False)
2025-09-07T06:38:50.7886960Z     
2025-09-07T06:38:50.7887040Z             >>> # NaN != NaN by default.
2025-09-07T06:38:50.7887120Z             >>> expected = torch.tensor(float("Nan"))
2025-09-07T06:38:50.7887190Z             >>> actual = expected.clone()
2025-09-07T06:38:50.7887270Z             >>> torch.testing.assert_close(actual, expected)
2025-09-07T06:38:50.7887340Z             Traceback (most recent call last):
2025-09-07T06:38:50.7887380Z             ...
2025-09-07T06:38:50.7887450Z             AssertionError: Scalars are not close!
2025-09-07T06:38:50.7887500Z             <BLANKLINE>
2025-09-07T06:38:50.7887560Z             Expected nan but got nan.
2025-09-07T06:38:50.7887650Z             Absolute difference: nan (up to 1e-05 allowed)
2025-09-07T06:38:50.7887730Z             Relative difference: nan (up to 1.3e-06 allowed)
2025-09-07T06:38:50.7887880Z             >>> torch.testing.assert_close(actual, expected, equal_nan=True)
2025-09-07T06:38:50.7887920Z     
2025-09-07T06:38:50.7887990Z             >>> expected = torch.tensor([1.0, 2.0, 3.0])
2025-09-07T06:38:50.7888070Z             >>> actual = torch.tensor([1.0, 4.0, 5.0])
2025-09-07T06:38:50.7888160Z             >>> # The default error message can be overwritten.
2025-09-07T06:38:50.7888220Z             >>> torch.testing.assert_close(
2025-09-07T06:38:50.7888330Z             ...     actual, expected, msg="Argh, the tensors are not close!"
2025-09-07T06:38:50.7888370Z             ... )
2025-09-07T06:38:50.7888440Z             Traceback (most recent call last):
2025-09-07T06:38:50.7888480Z             ...
2025-09-07T06:38:50.7888570Z             AssertionError: Argh, the tensors are not close!
2025-09-07T06:38:50.7888710Z             >>> # If msg is a callable, it can be used to augment the generated message with
2025-09-07T06:38:50.7888770Z             >>> # extra information
2025-09-07T06:38:50.7888830Z             >>> torch.testing.assert_close(
2025-09-07T06:38:50.7888950Z             ...     actual, expected, msg=lambda msg: f"Header\n\n{msg}\n\nFooter"
2025-09-07T06:38:50.7889000Z             ... )
2025-09-07T06:38:50.7889060Z             Traceback (most recent call last):
2025-09-07T06:38:50.7889100Z             ...
2025-09-07T06:38:50.7889190Z             AssertionError: Header
2025-09-07T06:38:50.7889240Z             <BLANKLINE>
2025-09-07T06:38:50.7889300Z             Tensor-likes are not close!
2025-09-07T06:38:50.7889340Z             <BLANKLINE>
2025-09-07T06:38:50.7889410Z             Mismatched elements: 2 / 3 (66.7%)
2025-09-07T06:38:50.7889560Z             Greatest absolute difference: 2.0 at index (1,) (up to 1e-05 allowed)
2025-09-07T06:38:50.7889700Z             Greatest relative difference: 1.0 at index (1,) (up to 1.3e-06 allowed)
2025-09-07T06:38:50.7889750Z             <BLANKLINE>
2025-09-07T06:38:50.7889790Z             Footer
2025-09-07T06:38:50.7889830Z         
2025-09-07T06:38:50.7889980Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7890020Z     
2025-09-07T06:38:50.7890070Z       warnings.warn(msg)
2025-09-07T06:38:50.7890110Z     
2025-09-07T06:38:50.7890220Z --- Parse Warning: 128 / 146 ---
2025-09-07T06:38:50.7890860Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=triton_op in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/triton.py line=96.
2025-09-07T06:38:50.7891020Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7891170Z     Create a custom operator whose implementation is backed by 1+ triton kernels.
2025-09-07T06:38:50.7891210Z     
2025-09-07T06:38:50.7891330Z         This is a more structured way of using triton kernels with PyTorch.
2025-09-07T06:38:50.7891490Z         Prefer using triton kernels with no ``torch.library`` custom operator wrappers
2025-09-07T06:38:50.7891640Z         (like :func:`torch.library.custom_op`, :func:`torch.library.triton_op`) because
2025-09-07T06:38:50.7891690Z         that is simpler;
2025-09-07T06:38:50.7891860Z         only use :func:`torch.library.custom_op`/:func:`torch.library.triton_op` if you
2025-09-07T06:38:50.7892010Z         want to create an operator that behaves like PyTorch built-in operators.
2025-09-07T06:38:50.7892140Z         For example, you may use a ``torch.library`` wrapper API to define the
2025-09-07T06:38:50.7892270Z         behavior of the triton kernel when passed a tensor subclass or under
2025-09-07T06:38:50.7892330Z         a TorchDispatchMode.
2025-09-07T06:38:50.7894990Z     
2025-09-07T06:38:50.7895150Z         Use :func:`torch.library.triton_op` instead of :func:`torch.library.custom_op`
2025-09-07T06:38:50.7895210Z         when the implementation
2025-09-07T06:38:50.7895340Z         consists of 1+ triton kernels. :func:`torch.library.custom_op` treats
2025-09-07T06:38:50.7895540Z         custom operators as opaque (:func:`torch.compile` and
2025-09-07T06:38:50.7895690Z         :func:`torch.export.export` will never trace into them), but ``triton_op``
2025-09-07T06:38:50.7895820Z         makes the implementation visible to these subsystems, allowing them
2025-09-07T06:38:50.7895890Z         to optimize the triton kernel(s).
2025-09-07T06:38:50.7895920Z     
2025-09-07T06:38:50.7896040Z         Note that ``fn`` must only consist of calls to PyTorch-understood
2025-09-07T06:38:50.7896180Z         operators and triton kernels. Any triton kernels called inside ``fn``
2025-09-07T06:38:50.7896290Z         must be wrapped in a call to :func:`torch.library.wrap_triton`.
2025-09-07T06:38:50.7896330Z     
2025-09-07T06:38:50.7896370Z         Args:
2025-09-07T06:38:50.7896520Z             name (str): A name for the custom op that looks like "{namespace}::{name}",
2025-09-07T06:38:50.7896640Z                 e.g. "mylib::my_linear". The name is used as the op's stable identifier
2025-09-07T06:38:50.7896750Z                 in PyTorch subsystems (e.g. torch.export, FX graphs).
2025-09-07T06:38:50.7896890Z                 To avoid name collisions, please use your project name as the namespace;
2025-09-07T06:38:50.7897020Z                 e.g. all custom ops in pytorch/fbgemm use "fbgemm" as the namespace.
2025-09-07T06:38:50.7897210Z             mutates_args (Iterable[str] or "unknown"): The names of args that the function mutates.
2025-09-07T06:38:50.7897360Z                 This MUST be accurate, otherwise, the behavior is undefined. If "unknown",
2025-09-07T06:38:50.7897510Z                 it pessimistically assumes that all inputs to the operator are being mutated.
2025-09-07T06:38:50.7897650Z             schema (None | str): A schema string for the operator. If None
2025-09-07T06:38:50.7897780Z                 (recommended) we'll infer a schema for the operator from its type
2025-09-07T06:38:50.7897910Z                 annotations. We recommend letting us infer a schema unless you
2025-09-07T06:38:50.7897970Z                 have a specific reason not to.
2025-09-07T06:38:50.7898070Z                 Example: "(Tensor x, int y) -> (Tensor, Tensor)".
2025-09-07T06:38:50.7898110Z     
2025-09-07T06:38:50.7898160Z         Example::
2025-09-07T06:38:50.7898190Z     
2025-09-07T06:38:50.7898280Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_CUDA)
2025-09-07T06:38:50.7898330Z             >>> import torch
2025-09-07T06:38:50.7898430Z             >>> from torch.library import triton_op, wrap_triton
2025-09-07T06:38:50.7898470Z             >>>
2025-09-07T06:38:50.7898520Z             >>> import triton
2025-09-07T06:38:50.7898590Z             >>> from triton import language as tl
2025-09-07T06:38:50.7898630Z             >>>
2025-09-07T06:38:50.7898680Z             >>> @triton.jit
2025-09-07T06:38:50.7898740Z             >>> def add_kernel(
2025-09-07T06:38:50.7898780Z             >>>     in_ptr0,
2025-09-07T06:38:50.7898830Z             >>>     in_ptr1,
2025-09-07T06:38:50.7898880Z             >>>     out_ptr,
2025-09-07T06:38:50.7898930Z             >>>     n_elements,
2025-09-07T06:38:50.7899000Z             >>>     BLOCK_SIZE: "tl.constexpr",
2025-09-07T06:38:50.7899040Z             >>> ):
2025-09-07T06:38:50.7899120Z             >>>     pid = tl.program_id(axis=0)
2025-09-07T06:38:50.7899200Z             >>>     block_start = pid * BLOCK_SIZE
2025-09-07T06:38:50.7899290Z             >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-09-07T06:38:50.7899350Z             >>>     mask = offsets < n_elements
2025-09-07T06:38:50.7899430Z             >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-09-07T06:38:50.7899510Z             >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-09-07T06:38:50.7899560Z             >>>     output = x + y
2025-09-07T06:38:50.7899660Z             >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-09-07T06:38:50.7899700Z             >>>
2025-09-07T06:38:50.7899780Z             >>> @triton_op("mylib::add", mutates_args={})
2025-09-07T06:38:50.7899900Z             >>> def add(x: torch.Tensor, y: torch.Tensor) -> torch.Tensor:
2025-09-07T06:38:50.7899970Z             >>>     output = torch.empty_like(x)
2025-09-07T06:38:50.7900040Z             >>>     n_elements = output.numel()
2025-09-07T06:38:50.7900080Z             >>>
2025-09-07T06:38:50.7900140Z             >>>     def grid(meta):
2025-09-07T06:38:50.7900240Z             >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-09-07T06:38:50.7900280Z             >>>
2025-09-07T06:38:50.7900400Z             >>>     # NB: we need to wrap the triton kernel in a call to wrap_triton
2025-09-07T06:38:50.7900510Z             >>>     wrap_triton(add_kernel)[grid](x, y, output, n_elements, 16)
2025-09-07T06:38:50.7900570Z             >>>     return output
2025-09-07T06:38:50.7900610Z             >>>
2025-09-07T06:38:50.7900660Z             >>> @torch.compile
2025-09-07T06:38:50.7900710Z             >>> def f(x, y):
2025-09-07T06:38:50.7900760Z             >>>     return add(x, y)
2025-09-07T06:38:50.7900810Z             >>>
2025-09-07T06:38:50.7900870Z             >>> x = torch.randn(3, device="cuda")
2025-09-07T06:38:50.7900940Z             >>> y = torch.randn(3, device="cuda")
2025-09-07T06:38:50.7900990Z             >>>
2025-09-07T06:38:50.7901030Z             >>> z = f(x, y)
2025-09-07T06:38:50.7901120Z             >>> assert torch.allclose(z, x + y)
2025-09-07T06:38:50.7901160Z     
2025-09-07T06:38:50.7901200Z         
2025-09-07T06:38:50.7901350Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7901390Z     
2025-09-07T06:38:50.7901440Z       warnings.warn(msg)
2025-09-07T06:38:50.7901480Z     
2025-09-07T06:38:50.7901610Z --- Parse Warning: 129 / 146 ---
2025-09-07T06:38:50.7902290Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=wrap_triton in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/triton.py line=296.
2025-09-07T06:38:50.7902450Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7902560Z     Allows capture of a triton kernel into a graph via make_fx or
2025-09-07T06:38:50.7902620Z         non-strict ``torch.export``.
2025-09-07T06:38:50.7902670Z     
2025-09-07T06:38:50.7902780Z         These technologies perform Dispatcher-based tracing (via
2025-09-07T06:38:50.7902900Z         ``__torch_dispatch__``) and cannot see calls to raw triton kernels.
2025-09-07T06:38:50.7903020Z         The ``wrap_triton`` API wraps a triton kernel into a callable that
2025-09-07T06:38:50.7903090Z         can actually be traced into a graph.
2025-09-07T06:38:50.7903130Z     
2025-09-07T06:38:50.7903250Z         Please use this API together with :func:`torch.library.triton_op`.
2025-09-07T06:38:50.7903290Z     
2025-09-07T06:38:50.7903340Z         Examples:
2025-09-07T06:38:50.7903380Z     
2025-09-07T06:38:50.7903430Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7903480Z             >>> import torch
2025-09-07T06:38:50.7903530Z             >>> import triton
2025-09-07T06:38:50.7903650Z             >>> from triton import language as tl
2025-09-07T06:38:50.7903760Z             >>> from torch.fx.experimental.proxy_tensor import make_fx
2025-09-07T06:38:50.7903840Z             >>> from torch.library import wrap_triton
2025-09-07T06:38:50.7903890Z             >>>
2025-09-07T06:38:50.7903930Z             >>> @triton.jit
2025-09-07T06:38:50.7903990Z             >>> def add_kernel(
2025-09-07T06:38:50.7904030Z             >>>     in_ptr0,
2025-09-07T06:38:50.7904080Z             >>>     in_ptr1,
2025-09-07T06:38:50.7904130Z             >>>     out_ptr,
2025-09-07T06:38:50.7904180Z             >>>     n_elements,
2025-09-07T06:38:50.7904240Z             >>>     BLOCK_SIZE: "tl.constexpr",
2025-09-07T06:38:50.7904290Z             >>> ):
2025-09-07T06:38:50.7904400Z             >>>     pid = tl.program_id(axis=0)
2025-09-07T06:38:50.7904470Z             >>>     block_start = pid * BLOCK_SIZE
2025-09-07T06:38:50.7904560Z             >>>     offsets = block_start + tl.arange(0, BLOCK_SIZE)
2025-09-07T06:38:50.7904630Z             >>>     mask = offsets < n_elements
2025-09-07T06:38:50.7904710Z             >>>     x = tl.load(in_ptr0 + offsets, mask=mask)
2025-09-07T06:38:50.7904790Z             >>>     y = tl.load(in_ptr1 + offsets, mask=mask)
2025-09-07T06:38:50.7904840Z             >>>     output = x + y
2025-09-07T06:38:50.7904930Z             >>>     tl.store(out_ptr + offsets, output, mask=mask)
2025-09-07T06:38:50.7904970Z             >>>
2025-09-07T06:38:50.7905020Z             >>> def add(x, y):
2025-09-07T06:38:50.7905090Z             >>>     output = torch.empty_like(x)
2025-09-07T06:38:50.7905150Z             >>>     n_elements = output.numel()
2025-09-07T06:38:50.7905200Z             >>>
2025-09-07T06:38:50.7905250Z             >>>     def grid_fn(meta):
2025-09-07T06:38:50.7905360Z             >>>         return (triton.cdiv(n_elements, meta["BLOCK_SIZE"]),)
2025-09-07T06:38:50.7905400Z             >>>
2025-09-07T06:38:50.7905520Z             >>>     wrap_triton(add_kernel)[grid_fn](x, y, output, n_elements, 16)
2025-09-07T06:38:50.7905570Z             >>>     return output
2025-09-07T06:38:50.7905630Z             >>>
2025-09-07T06:38:50.7905700Z             >>> x = torch.randn(3, device="cuda")
2025-09-07T06:38:50.7905760Z             >>> y = torch.randn(3, device="cuda")
2025-09-07T06:38:50.7905820Z             >>> gm = make_fx(add)(x, y)
2025-09-07T06:38:50.7905870Z             >>> print(gm.code)
2025-09-07T06:38:50.7905940Z             >>> # def forward(self, x_1, y_1):
2025-09-07T06:38:50.7906110Z             >>> #     empty_like = torch.ops.aten.empty_like.default(x_1, pin_memory = False)
2025-09-07T06:38:50.7906260Z             >>> #     triton_kernel_wrapper_mutation_proxy = triton_kernel_wrapper_mutation(
2025-09-07T06:38:50.7906350Z             >>> #         kernel_idx = 0, constant_args_idx = 0,
2025-09-07T06:38:50.7906420Z             >>> #         grid = [(1, 1, 1)], kwargs = {
2025-09-07T06:38:50.7906520Z             >>> #             'in_ptr0': x_1, 'in_ptr1': y_1, 'out_ptr': empty_like,
2025-09-07T06:38:50.7906590Z             >>> #             'n_elements': 3, 'BLOCK_SIZE': 16
2025-09-07T06:38:50.7906640Z             >>> #         })
2025-09-07T06:38:50.7906700Z             >>> #     return empty_like
2025-09-07T06:38:50.7906740Z     
2025-09-07T06:38:50.7906780Z         
2025-09-07T06:38:50.7906930Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7906970Z     
2025-09-07T06:38:50.7907020Z       warnings.warn(msg)
2025-09-07T06:38:50.7907060Z     
2025-09-07T06:38:50.7907160Z --- Parse Warning: 130 / 146 ---
2025-09-07T06:38:50.7907860Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=unsafe_generate_fake_kernels in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/fake_profile.py line=94.
2025-09-07T06:38:50.7908040Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7908080Z     
2025-09-07T06:38:50.7908220Z     Registers a fake kernel based on the given operator profiles. This fake
2025-09-07T06:38:50.7908360Z     kernel registration will override any existing fake kernel registrations.
2025-09-07T06:38:50.7908400Z     
2025-09-07T06:38:50.7908530Z     The input is a dictionary mapping operator names to a set of operator
2025-09-07T06:38:50.7908670Z     profiles, which we will use to generate fake kernels. The operator profiles
2025-09-07T06:38:50.7908800Z     are a record of the input and output tensor metadata. Based on this
2025-09-07T06:38:50.7908940Z     information we will match a given input to the recorded profile, and return
2025-09-07T06:38:50.7909070Z     an output with the same metadata as in the recorded profile. If a profile
2025-09-07T06:38:50.7909180Z     doesn't exist then an exception will be thrown.
2025-09-07T06:38:50.7909220Z     
2025-09-07T06:38:50.7909350Z     The fake kernel generation is considered unsafe because it relies on the
2025-09-07T06:38:50.7909490Z     rigid, pre-defined operator profiles that do not account for potential
2025-09-07T06:38:50.7909640Z     variations in output behavior. Specifically, the generated kernels assume a
2025-09-07T06:38:50.7909790Z     fixed relationship between input and output ranks. However, in reality, it's
2025-09-07T06:38:50.7909930Z     possible that data-dependent operations may produce outputs of different
2025-09-07T06:38:50.7910070Z     ranks even when given inputs of the same rank. The generated fake kernels
2025-09-07T06:38:50.7910200Z     are inflexible and unable to accommodate these nuances, making them
2025-09-07T06:38:50.7910250Z     potentially unsafe.
2025-09-07T06:38:50.7910290Z     
2025-09-07T06:38:50.7910330Z     Args:
2025-09-07T06:38:50.7910460Z         op_profiles (dict[str, set[OpProfile]]): A dictionary mapping operator
2025-09-07T06:38:50.7910590Z             name to a set of operator profiles from which we will generate fake
2025-09-07T06:38:50.7910630Z             kernels.
2025-09-07T06:38:50.7910670Z     
2025-09-07T06:38:50.7910740Z     Examples:
2025-09-07T06:38:50.7910780Z     
2025-09-07T06:38:50.7910890Z         >>> # Example: Registering an op-profile from draft-export
2025-09-07T06:38:50.7910930Z         >>> import torch
2025-09-07T06:38:50.7911030Z         >>> from torch.export._draft_export import draft_export
2025-09-07T06:38:50.7911070Z         >>>
2025-09-07T06:38:50.7911200Z         >>> @torch.library.custom_op("mylib::foo", mutates_args=())
2025-09-07T06:38:50.7911280Z         >>> def foo(x: Tensor, y: Tensor) -> Tensor:
2025-09-07T06:38:50.7911330Z         >>>     return x + y
2025-09-07T06:38:50.7911370Z         >>>
2025-09-07T06:38:50.7911430Z         >>> class M(torch.nn.Module):
2025-09-07T06:38:50.7911490Z         >>>     def forward(self, a, b):
2025-09-07T06:38:50.7911590Z         >>>         res = torch.ops.mylib.foo(a, b)  # no fake impl
2025-09-07T06:38:50.7911630Z         >>>         return res
2025-09-07T06:38:50.7911670Z         >>>
2025-09-07T06:38:50.7911780Z         >>> ep = draft_export(M(), (torch.ones(3, 4), torch.ones(3, 4))
2025-09-07T06:38:50.7911820Z         >>>
2025-09-07T06:38:50.7912000Z         >>> with torch._library.fake_profile.unsafe_generate_fake_kernels(ep._report.op_profiles):
2025-09-07T06:38:50.7912070Z         >>>     decomp = ep.run_decompositions()
2025-09-07T06:38:50.7912110Z     
2025-09-07T06:38:50.7912150Z     
2025-09-07T06:38:50.7912300Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7912340Z     
2025-09-07T06:38:50.7912390Z       warnings.warn(msg)
2025-09-07T06:38:50.7912430Z     
2025-09-07T06:38:50.7912530Z --- Parse Warning: 131 / 146 ---
2025-09-07T06:38:50.7913240Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=CustomOpDef.register_fake in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_library/custom_ops.py line=397.
2025-09-07T06:38:50.7913400Z     Caused by: DoctestParseError('Failed to parse doctest in _package_groups')
2025-09-07T06:38:50.7913510Z     Register a FakeTensor implementation for this custom op.
2025-09-07T06:38:50.7913550Z     
2025-09-07T06:38:50.7913690Z             This is necessary to get the operator to work efficiently with torch.compile.
2025-09-07T06:38:50.7913730Z     
2025-09-07T06:38:50.7913870Z             The Fake impl (sometimes also known as a meta kernel or abstract impl)
2025-09-07T06:38:50.7914010Z             specifies the behavior of this operator on Tensors that carry no data.
2025-09-07T06:38:50.7914100Z             Given some input Tensors with certain properties
2025-09-07T06:38:50.7914270Z             (sizes/strides/storage_offset/device), it specifies what the properties of
2025-09-07T06:38:50.7914330Z             the output Tensors are.
2025-09-07T06:38:50.7914370Z     
2025-09-07T06:38:50.7914500Z             Please see :func:`torch.library.register_fake` for more details.
2025-09-07T06:38:50.7914530Z     
2025-09-07T06:38:50.7914580Z             Args:
2025-09-07T06:38:50.7914680Z                 fn (Callable): The function to register as the FakeTensor
2025-09-07T06:38:50.7914740Z                     implementation.
2025-09-07T06:38:50.7914780Z     
2025-09-07T06:38:50.7914820Z             Examples:
2025-09-07T06:38:50.7914870Z                 >>> import torch
2025-09-07T06:38:50.7914930Z                 >>> import numpy as np
2025-09-07T06:38:50.7915000Z                 >>> from torch import Tensor
2025-09-07T06:38:50.7915040Z                 >>>
2025-09-07T06:38:50.7915150Z                 >>> # Example 1: an operator without data-dependent output shape
2025-09-07T06:38:50.7915270Z                 >>> @torch.library.custom_op("mylib::linear", mutates_args=())
2025-09-07T06:38:50.7915390Z                 >>> def linear(x: Tensor, weight: Tensor, bias: Tensor) -> Tensor:
2025-09-07T06:38:50.7915460Z                 >>>     return (x @ weight.t()) + bias
2025-09-07T06:38:50.7915500Z                 >>>
2025-09-07T06:38:50.7915590Z                 >>> @linear.register_fake
2025-09-07T06:38:50.7915650Z                 >>> def _(x, weight, bias):
2025-09-07T06:38:50.7915710Z                 >>>     assert x.dim() == 2
2025-09-07T06:38:50.7915770Z                 >>>     assert weight.dim() == 2
2025-09-07T06:38:50.7915830Z                 >>>     assert bias.dim() == 1
2025-09-07T06:38:50.7915930Z                 >>>     assert x.shape[1] == weight.shape[1]
2025-09-07T06:38:50.7916010Z                 >>>     assert weight.shape[0] == bias.shape[0]
2025-09-07T06:38:50.7916090Z                 >>>     assert x.device == weight.device
2025-09-07T06:38:50.7916180Z                 >>>     return x.new_empty(x.size(0), weight.size(0))
2025-09-07T06:38:50.7916220Z                 >>>
2025-09-07T06:38:50.7916280Z                 >>> x = torch.randn(2, 2)
2025-09-07T06:38:50.7916340Z                 >>> weight = torch.randn(2, 2)
2025-09-07T06:38:50.7916400Z                 >>> bias = torch.randn(2)
2025-09-07T06:38:50.7916490Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-09-07T06:38:50.7916600Z                 >>> out = torch.compile(linear, fullgraph=True)(x, weight, bias)
2025-09-07T06:38:50.7916680Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-09-07T06:38:50.7916840Z                 >>> assert torch.allclose(out, torch.nn.functional.linear(x, weight, bias))
2025-09-07T06:38:50.7916880Z                 >>>
2025-09-07T06:38:50.7916990Z                 >>> # Example 2: an operator with data-dependent output shape
2025-09-07T06:38:50.7917100Z                 >>> @torch.library.custom_op("mylib::nonzero", mutates_args=())
2025-09-07T06:38:50.7917180Z                 >>> def nonzero(x: Tensor) -> Tensor:
2025-09-07T06:38:50.7917240Z                 >>>     x_np = x.cpu().numpy()
2025-09-07T06:38:50.7917330Z                 >>>     res = np.stack(np.nonzero(x_np), axis=1)
2025-09-07T06:38:50.7917440Z                 >>>     return torch.tensor(res, device=x.device)
2025-09-07T06:38:50.7917480Z                 >>>
2025-09-07T06:38:50.7917540Z                 >>> @nonzero.register_fake
2025-09-07T06:38:50.7917590Z                 >>> def _(x):
2025-09-07T06:38:50.7917690Z                 >>> # Number of nonzero-elements is data-dependent.
2025-09-07T06:38:50.7917790Z                 >>> # Since we cannot peek at the data in an abstract impl,
2025-09-07T06:38:50.7917890Z                 >>> # we use the ctx object to construct a new symint that
2025-09-07T06:38:50.7917970Z                 >>> # represents the data-dependent size.
2025-09-07T06:38:50.7918040Z                 >>>     ctx = torch.library.get_ctx()
2025-09-07T06:38:50.7918110Z                 >>>     nnz = ctx.new_dynamic_size()
2025-09-07T06:38:50.7918200Z                 >>>     shape = [nnz, x.dim()]
2025-09-07T06:38:50.7918290Z                 >>>     result = x.new_empty(shape, dtype=torch.int64)
2025-09-07T06:38:50.7918350Z                 >>>     return result
2025-09-07T06:38:50.7918390Z                 >>>
2025-09-07T06:38:50.7918460Z                 >>> x = torch.tensor([0, 1, 2, 0, 0, 1])
2025-09-07T06:38:50.7918540Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-09-07T06:38:50.7918640Z                 >>> out = torch.compile(nonzero, fullgraph=True)(x)
2025-09-07T06:38:50.7918720Z                 >>> # xdoctest: +SKIP("Requires Python <= 3.11")
2025-09-07T06:38:50.7918800Z                 >>> assert torch.allclose(out, x.nonzero())
2025-09-07T06:38:50.7918840Z     
2025-09-07T06:38:50.7918880Z             
2025-09-07T06:38:50.7919190Z     Original Error: IndentationError('expected an indented block after function definition on line 36', ('<source_block>', 37, 1, '_._ = None\n', 37, 2))
2025-09-07T06:38:50.7919230Z     
2025-09-07T06:38:50.7919270Z     _._ = None
2025-09-07T06:38:50.7919310Z     ^
2025-09-07T06:38:50.7919360Z       warnings.warn(msg)
2025-09-07T06:38:50.7919400Z     
2025-09-07T06:38:50.7919510Z --- Parse Warning: 132 / 146 ---
2025-09-07T06:38:50.7920170Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=Conv1d in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/conv.py line=354.
2025-09-07T06:38:50.7920350Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7920500Z     Applies a 1D convolution over a quantized input signal composed of
2025-09-07T06:38:50.7920560Z         several quantized input planes.
2025-09-07T06:38:50.7920600Z     
2025-09-07T06:38:50.7920730Z         For details on input arguments, parameters, and implementation see
2025-09-07T06:38:50.7920790Z         :class:`~torch.nn.Conv1d`.
2025-09-07T06:38:50.7920830Z     
2025-09-07T06:38:50.7920870Z         .. note::
2025-09-07T06:38:50.7920990Z             Only `zeros` is supported for the :attr:`padding_mode` argument.
2025-09-07T06:38:50.7921030Z     
2025-09-07T06:38:50.7921070Z         .. note::
2025-09-07T06:38:50.7921180Z             Only `torch.quint8` is supported for the input data type.
2025-09-07T06:38:50.7921220Z     
2025-09-07T06:38:50.7921260Z     
2025-09-07T06:38:50.7921300Z         Attributes:
2025-09-07T06:38:50.7921430Z             weight (Tensor):     packed tensor derived from the learnable weight
2025-09-07T06:38:50.7921490Z                                  parameter.
2025-09-07T06:38:50.7921580Z             scale (Tensor):      scalar for the output scale
2025-09-07T06:38:50.7921680Z             zero_point (Tensor): scalar for the output zero point
2025-09-07T06:38:50.7921720Z     
2025-09-07T06:38:50.7921810Z         See :class:`~torch.nn.Conv1d` for other attributes.
2025-09-07T06:38:50.7921850Z     
2025-09-07T06:38:50.7921900Z         Examples::
2025-09-07T06:38:50.7921930Z     
2025-09-07T06:38:50.7922020Z             >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_QENGINE)
2025-09-07T06:38:50.7922130Z             >>> m = nn.quantized.Conv1d(16, 33, 3, stride=2)
2025-09-07T06:38:50.7922200Z             >>> input = torch.randn(20, 16, 100)
2025-09-07T06:38:50.7922270Z             >>> # quantize input to quint8
2025-09-07T06:38:50.7922320Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7922450Z             >>> q_input = torch.quantize_per_tensor(input, scale=1.0, zero_point=0,
2025-09-07T06:38:50.7922540Z             ...                                     dtype=torch.quint8)
2025-09-07T06:38:50.7922590Z             >>> output = m(q_input)
2025-09-07T06:38:50.7922630Z     
2025-09-07T06:38:50.7922670Z         
2025-09-07T06:38:50.7922820Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7922890Z     
2025-09-07T06:38:50.7922940Z       warnings.warn(msg)
2025-09-07T06:38:50.7922980Z     
2025-09-07T06:38:50.7923080Z --- Parse Warning: 133 / 146 ---
2025-09-07T06:38:50.7923740Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LSTM in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/nn/quantized/modules/rnn.py line=12.
2025-09-07T06:38:50.7923890Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7923970Z     A quantized long short-term memory (LSTM).
2025-09-07T06:38:50.7924010Z     
2025-09-07T06:38:50.7924180Z         For the description and the argument types, please, refer to :class:`~torch.nn.LSTM`
2025-09-07T06:38:50.7924220Z     
2025-09-07T06:38:50.7924260Z         Attributes:
2025-09-07T06:38:50.7924330Z             layers : instances of the `_LSTMLayer`
2025-09-07T06:38:50.7924370Z     
2025-09-07T06:38:50.7924420Z         .. note::
2025-09-07T06:38:50.7924540Z             To access the weights and biases, you need to access them per layer.
2025-09-07T06:38:50.7924650Z             See examples in :class:`~torch.ao.nn.quantizable.LSTM`
2025-09-07T06:38:50.7924690Z     
2025-09-07T06:38:50.7924750Z         Examples::
2025-09-07T06:38:50.7924810Z             >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7924870Z             >>> custom_module_config = {
2025-09-07T06:38:50.7924950Z             ...     'float_to_observed_custom_module_class': {
2025-09-07T06:38:50.7925030Z             ...         nn.LSTM: nn.quantizable.LSTM,
2025-09-07T06:38:50.7925070Z             ...     },
2025-09-07T06:38:50.7925210Z             ...     'observed_to_quantized_custom_module_class': {
2025-09-07T06:38:50.7925300Z             ...         nn.quantizable.LSTM: nn.quantized.LSTM,
2025-09-07T06:38:50.7925340Z             ...     }
2025-09-07T06:38:50.7925380Z             ... }
2025-09-07T06:38:50.7925520Z             >>> tq.prepare(model, prepare_custom_module_class=custom_module_config)
2025-09-07T06:38:50.7925640Z             >>> tq.convert(model, convert_custom_module_class=custom_module_config)
2025-09-07T06:38:50.7925680Z         
2025-09-07T06:38:50.7925840Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7925880Z     
2025-09-07T06:38:50.7925930Z       warnings.warn(msg)
2025-09-07T06:38:50.7925970Z     
2025-09-07T06:38:50.7926070Z --- Parse Warning: 134 / 146 ---
2025-09-07T06:38:50.7926800Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=DTypeConfig in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/backend_config/backend_config.py line=181.
2025-09-07T06:38:50.7926950Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7926990Z     
2025-09-07T06:38:50.7927140Z     Config object that specifies the supported data types passed as arguments to
2025-09-07T06:38:50.7927280Z     quantize ops in the reference model spec, for input and output activations,
2025-09-07T06:38:50.7927350Z     weights, and biases.
2025-09-07T06:38:50.7927390Z     
2025-09-07T06:38:50.7927490Z     For example, consider the following reference model:
2025-09-07T06:38:50.7927530Z     
2025-09-07T06:38:50.7927620Z       quant1 - [dequant1 - fp32_linear - quant2] - dequant2
2025-09-07T06:38:50.7927660Z     
2025-09-07T06:38:50.7927790Z     The pattern in the square brackets refers to the reference pattern of
2025-09-07T06:38:50.7927930Z     statically quantized linear. Setting the input dtype as `torch.quint8`
2025-09-07T06:38:50.7928070Z     in the DTypeConfig means we pass in `torch.quint8` as the dtype argument
2025-09-07T06:38:50.7928210Z     to the first quantize op (quant1). Similarly, setting the output dtype as
2025-09-07T06:38:50.7928360Z     `torch.quint8` means we pass in `torch.quint8` as the dtype argument to
2025-09-07T06:38:50.7928430Z     the second quantize op (quant2).
2025-09-07T06:38:50.7928470Z     
2025-09-07T06:38:50.7928600Z     Note that the dtype here does not refer to the interface dtypes of the
2025-09-07T06:38:50.7928720Z     op. For example, the "input dtype" here is not the dtype of the input
2025-09-07T06:38:50.7928850Z     tensor passed to the quantized linear op. Though it can still be the
2025-09-07T06:38:50.7928970Z     same as the interface dtype, this is not always the case, e.g. the
2025-09-07T06:38:50.7929100Z     interface dtype is fp32 in dynamic quantization but the "input dtype"
2025-09-07T06:38:50.7929220Z     specified in the DTypeConfig would still be quint8. The semantics of
2025-09-07T06:38:50.7929350Z     dtypes here are the same as the semantics of the dtypes specified in
2025-09-07T06:38:50.7929390Z     the observers.
2025-09-07T06:38:50.7929430Z     
2025-09-07T06:38:50.7929560Z     These dtypes are matched against the ones specified in the user's
2025-09-07T06:38:50.7929690Z     QConfig. If there is a match, and the QConfig satisfies the constraints
2025-09-07T06:38:50.7929820Z     specified in the DTypeConfig (if any), then we will quantize the given
2025-09-07T06:38:50.7929950Z     pattern using this DTypeConfig. Otherwise, the QConfig is ignored and
2025-09-07T06:38:50.7930050Z     the pattern will not be quantized.
2025-09-07T06:38:50.7930080Z     
2025-09-07T06:38:50.7930130Z     Example usage::
2025-09-07T06:38:50.7930170Z     
2025-09-07T06:38:50.7930230Z         >>> # xdoctest: +SKIP(failing)
2025-09-07T06:38:50.7930290Z         >>> dtype_config1 = DTypeConfig(
2025-09-07T06:38:50.7930370Z         ...     input_dtype=torch.quint8,
2025-09-07T06:38:50.7930430Z         ...     output_dtype=torch.quint8,
2025-09-07T06:38:50.7930490Z         ...     weight_dtype=torch.qint8,
2025-09-07T06:38:50.7930550Z         ...     bias_dtype=torch.float)
2025-09-07T06:38:50.7930590Z     
2025-09-07T06:38:50.7930650Z         >>> dtype_config2 = DTypeConfig(
2025-09-07T06:38:50.7930730Z         ...     input_dtype=DTypeWithConstraints(
2025-09-07T06:38:50.7930780Z         ...         dtype=torch.quint8,
2025-09-07T06:38:50.7930850Z         ...         quant_min_lower_bound=0,
2025-09-07T06:38:50.7930910Z         ...         quant_max_upper_bound=255,
2025-09-07T06:38:50.7930950Z         ...     ),
2025-09-07T06:38:50.7931030Z         ...     output_dtype=DTypeWithConstraints(
2025-09-07T06:38:50.7931080Z         ...         dtype=torch.quint8,
2025-09-07T06:38:50.7931150Z         ...         quant_min_lower_bound=0,
2025-09-07T06:38:50.7931210Z         ...         quant_max_upper_bound=255,
2025-09-07T06:38:50.7931250Z         ...     ),
2025-09-07T06:38:50.7931330Z         ...     weight_dtype=DTypeWithConstraints(
2025-09-07T06:38:50.7931380Z         ...         dtype=torch.qint8,
2025-09-07T06:38:50.7931450Z         ...         quant_min_lower_bound=-128,
2025-09-07T06:38:50.7931510Z         ...         quant_max_upper_bound=127,
2025-09-07T06:38:50.7931550Z         ...     ),
2025-09-07T06:38:50.7931610Z         ...     bias_dtype=torch.float)
2025-09-07T06:38:50.7931650Z     
2025-09-07T06:38:50.7931710Z         >>> dtype_config1.input_dtype
2025-09-07T06:38:50.7931770Z         torch.quint8
2025-09-07T06:38:50.7931810Z     
2025-09-07T06:38:50.7931870Z         >>> dtype_config2.input_dtype
2025-09-07T06:38:50.7931920Z         torch.quint8
2025-09-07T06:38:50.7931960Z     
2025-09-07T06:38:50.7932040Z         >>> dtype_config2.input_dtype_with_constraints
2025-09-07T06:38:50.7932360Z         DTypeWithConstraints(dtype=torch.quint8, quant_min_lower_bound=0, quant_max_upper_bound=255, scale_min_lower_bound=None, scale_max_upper_bound=None)
2025-09-07T06:38:50.7932400Z     
2025-09-07T06:38:50.7932550Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7932590Z     
2025-09-07T06:38:50.7932640Z       warnings.warn(msg)
2025-09-07T06:38:50.7932680Z     
2025-09-07T06:38:50.7932800Z --- Parse Warning: 135 / 146 ---
2025-09-07T06:38:50.7933660Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_filtered_tables in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=301.
2025-09-07T06:38:50.7933820Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7933860Z     
2025-09-07T06:38:50.7934020Z     Takes in optional filter values and generates two tables with desired information.
2025-09-07T06:38:50.7934060Z     
2025-09-07T06:38:50.7934180Z     The generated tables are presented in both a list-of-lists format
2025-09-07T06:38:50.7934220Z     
2025-09-07T06:38:50.7934340Z     The reason for the two tables are that they handle different things:
2025-09-07T06:38:50.7934440Z     1.) the first table handles all tensor level information
2025-09-07T06:38:50.7934570Z     2.) the second table handles and displays all channel based information
2025-09-07T06:38:50.7934610Z     
2025-09-07T06:38:50.7934800Z     The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-09-07T06:38:50.7935020Z         statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-09-07T06:38:50.7935230Z         tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-09-07T06:38:50.7935270Z     
2025-09-07T06:38:50.7935320Z     Tensor table columns:
2025-09-07T06:38:50.7935460Z         idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-09-07T06:38:50.7935570Z         ----  ---------  ---------   ---------   ---------        ---------
2025-09-07T06:38:50.7935600Z     
2025-09-07T06:38:50.7935660Z     Per-Channel table columns:
2025-09-07T06:38:50.7935800Z         idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-09-07T06:38:50.7935900Z         ----  ---------  -------  ---------   ---------   ---------        ---------
2025-09-07T06:38:50.7935940Z     
2025-09-07T06:38:50.7935980Z     Args:
2025-09-07T06:38:50.7936140Z         feature_filter (str, optional): Filters the features presented to only those that
2025-09-07T06:38:50.7936210Z             contain this filter substring
2025-09-07T06:38:50.7936310Z             Default = "", results in all the features being printed
2025-09-07T06:38:50.7936460Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-09-07T06:38:50.7936610Z             Default = "", results in all the modules in the reports to be visible in the table
2025-09-07T06:38:50.7936650Z     
2025-09-07T06:38:50.7936720Z     Returns a dictionary with two keys:
2025-09-07T06:38:50.7936820Z         (Dict[str, Tuple[List, List]]) A dict containing two keys:
2025-09-07T06:38:50.7936900Z         "tensor_level_info", "channel_level_info"
2025-09-07T06:38:50.7936960Z             Each key maps to a tuple with:
2025-09-07T06:38:50.7937030Z                 A list of the headers of each table
2025-09-07T06:38:50.7937160Z                 A list of lists containing the table information row by row
2025-09-07T06:38:50.7937270Z                 The 0th index row will contain the headers of the columns
2025-09-07T06:38:50.7937350Z                 The rest of the rows will contain data
2025-09-07T06:38:50.7937390Z     
2025-09-07T06:38:50.7937430Z     Example Use:
2025-09-07T06:38:50.7937510Z         >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:50.7937600Z         >>> mod_report_visualizer.generate_filtered_tables(
2025-09-07T06:38:50.7937720Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-09-07T06:38:50.7937880Z         ... )  # generates table with per_channel_min info for all modules in block 1 of the model
2025-09-07T06:38:50.7937940Z     
2025-09-07T06:38:50.7938090Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7938130Z     
2025-09-07T06:38:50.7938180Z       warnings.warn(msg)
2025-09-07T06:38:50.7938220Z     
2025-09-07T06:38:50.7938320Z --- Parse Warning: 136 / 146 ---
2025-09-07T06:38:50.7939180Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_table_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=399.
2025-09-07T06:38:50.7939340Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7939380Z     
2025-09-07T06:38:50.7939550Z     Takes in optional filter values and prints out formatted tables of the information.
2025-09-07T06:38:50.7939580Z     
2025-09-07T06:38:50.7939790Z     The reason for the two tables printed out instead of one large one are that they handle different things:
2025-09-07T06:38:50.7939890Z     1.) the first table handles all tensor level information
2025-09-07T06:38:50.7940020Z     2.) the second table handles and displays all channel based information
2025-09-07T06:38:50.7940080Z     
2025-09-07T06:38:50.7940270Z     The reasoning for this is that having all the info in one table can make it ambiguous which collected
2025-09-07T06:38:50.7940460Z         statistics are global, and which are actually per-channel, so it's better to split it up into two
2025-09-07T06:38:50.7940690Z         tables. This also makes the information much easier to digest given the plethora of statistics collected
2025-09-07T06:38:50.7940730Z     
2025-09-07T06:38:50.7940780Z     Tensor table columns:
2025-09-07T06:38:50.7940900Z      idx  layer_fqn  feature_1   feature_2   feature_3   .... feature_n
2025-09-07T06:38:50.7941000Z     ----  ---------  ---------   ---------   ---------        ---------
2025-09-07T06:38:50.7941040Z     
2025-09-07T06:38:50.7941100Z     Per-Channel table columns:
2025-09-07T06:38:50.7941140Z     
2025-09-07T06:38:50.7941270Z      idx  layer_fqn  channel  feature_1   feature_2   feature_3   .... feature_n
2025-09-07T06:38:50.7941380Z     ----  ---------  -------  ---------   ---------   ---------        ---------
2025-09-07T06:38:50.7941420Z     
2025-09-07T06:38:50.7941460Z     Args:
2025-09-07T06:38:50.7941610Z         feature_filter (str, optional): Filters the features presented to only those that
2025-09-07T06:38:50.7941680Z             contain this filter substring
2025-09-07T06:38:50.7941780Z             Default = "", results in all the features being printed
2025-09-07T06:38:50.7941940Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-09-07T06:38:50.7942090Z             Default = "", results in all the modules in the reports to be visible in the table
2025-09-07T06:38:50.7942130Z     
2025-09-07T06:38:50.7942170Z     Example Use:
2025-09-07T06:38:50.7942250Z         >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:50.7942350Z         >>> mod_report_visualizer.generate_table_visualization(
2025-09-07T06:38:50.7942500Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-09-07T06:38:50.7942540Z         ... )
2025-09-07T06:38:50.7942660Z         >>> # prints out neatly formatted table with per_channel_min info
2025-09-07T06:38:50.7942730Z         >>> # for all modules in block 1 of the model
2025-09-07T06:38:50.7942770Z     
2025-09-07T06:38:50.7942920Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7942960Z     
2025-09-07T06:38:50.7943010Z       warnings.warn(msg)
2025-09-07T06:38:50.7943050Z     
2025-09-07T06:38:50.7943150Z --- Parse Warning: 137 / 146 ---
2025-09-07T06:38:50.7944010Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_plot_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=564.
2025-09-07T06:38:50.7944190Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7946780Z     
2025-09-07T06:38:50.7946940Z     Takes in a feature and optional module_filter and plots of the desired data.
2025-09-07T06:38:50.7946980Z     
2025-09-07T06:38:50.7947140Z     For per channel features, it averages the value across the channels and plots a point
2025-09-07T06:38:50.7947300Z     per module. The reason for this is that for models with hundreds of channels, it can
2025-09-07T06:38:50.7947460Z     be hard to differentiate one channel line from another, and so the point of generating
2025-09-07T06:38:50.7947620Z     a single average point per module is to give a sense of general trends that encourage
2025-09-07T06:38:50.7947670Z     further deep dives.
2025-09-07T06:38:50.7947710Z     
2025-09-07T06:38:50.7947750Z     Note:
2025-09-07T06:38:50.7947910Z         Only features in the report that have tensor value data are plottable by this class
2025-09-07T06:38:50.7948020Z         When the tensor information is plotted, it will plot:
2025-09-07T06:38:50.7948150Z             idx as the x val, feature value as the y_val
2025-09-07T06:38:50.7948250Z         When the channel information is plotted, it will plot:
2025-09-07T06:38:50.7948410Z             the first idx of each module as the x val, feature value as the y_val [for each channel]
2025-09-07T06:38:50.7948610Z             The reason for this is that we want to be able to compare values across the
2025-09-07T06:38:50.7948760Z             channels for same layer, and it will be hard if values are staggered by idx
2025-09-07T06:38:50.7948860Z             This means each module is represented by only 1 x value
2025-09-07T06:38:50.7948900Z     Args:
2025-09-07T06:38:50.7949040Z         feature_filter (str): Filters the features presented to only those that
2025-09-07T06:38:50.7949100Z             contain this filter substring
2025-09-07T06:38:50.7949260Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-09-07T06:38:50.7949410Z             Default = "", results in all the modules in the reports to be visible in the table
2025-09-07T06:38:50.7949450Z     
2025-09-07T06:38:50.7949500Z     Example Use:
2025-09-07T06:38:50.7949580Z         >>> # xdoctest: +SKIP("undefined variables")
2025-09-07T06:38:50.7949670Z         >>> mod_report_visualizer.generate_plot_visualization(
2025-09-07T06:38:50.7949790Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-09-07T06:38:50.7949830Z         ... )
2025-09-07T06:38:50.7949950Z         >>> # outputs line plot of per_channel_min information for all
2025-09-07T06:38:50.7950050Z         >>> # modules in block1 of model each channel gets it's own line,
2025-09-07T06:38:50.7950160Z         >>> # and it's plotted across the in-order modules on the x-axis
2025-09-07T06:38:50.7950200Z     
2025-09-07T06:38:50.7950350Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7950410Z     
2025-09-07T06:38:50.7950470Z       warnings.warn(msg)
2025-09-07T06:38:50.7950510Z     
2025-09-07T06:38:50.7950620Z --- Parse Warning: 138 / 146 ---
2025-09-07T06:38:50.7951500Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReportVisualizer.generate_histogram_visualization in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report_visualizer.py line=643.
2025-09-07T06:38:50.7951660Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7951700Z     
2025-09-07T06:38:50.7951890Z     Takes in a feature and optional module_filter and plots the histogram of desired data.
2025-09-07T06:38:50.7951930Z     
2025-09-07T06:38:50.7951960Z     Note:
2025-09-07T06:38:50.7952130Z         Only features in the report that have tensor value data can be viewed as a histogram
2025-09-07T06:38:50.7952290Z         If you want to plot a histogram from all the channel values of a specific feature for
2025-09-07T06:38:50.7952440Z             a specific model, make sure to specify both the model and the feature properly
2025-09-07T06:38:50.7952580Z             in the filters and you should be able to see a distribution of the channel data
2025-09-07T06:38:50.7952620Z     
2025-09-07T06:38:50.7952660Z     Args:
2025-09-07T06:38:50.7952820Z         feature_filter (str, optional): Filters the features presented to only those that
2025-09-07T06:38:50.7952880Z             contain this filter substring
2025-09-07T06:38:50.7952980Z             Default = "", results in all the features being printed
2025-09-07T06:38:50.7953140Z         module_fqn_filter (str, optional): Only includes modules that contains this string
2025-09-07T06:38:50.7953280Z             Default = "", results in all the modules in the reports to be visible in the table
2025-09-07T06:38:50.7953420Z         num_bins (int, optional): The number of bins to create the histogram with
2025-09-07T06:38:50.7953590Z             Default = 10, the values will be split into 10 equal sized bins
2025-09-07T06:38:50.7953630Z     
2025-09-07T06:38:50.7953670Z     Example Use:
2025-09-07T06:38:50.7953730Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7953900Z         >>> mod_report_visualizer.generategenerate_histogram_visualization_plot_visualization(
2025-09-07T06:38:50.7954040Z         ...     feature_filter="per_channel_min", module_fqn_filter="block1"
2025-09-07T06:38:50.7954090Z         ... )
2025-09-07T06:38:50.7954250Z         # outputs histogram of per_channel_min information for all modules in block1 of model
2025-09-07T06:38:50.7954400Z             information is gathered across all channels for all modules in block 1 for the
2025-09-07T06:38:50.7954540Z             per_channel_min and is displayed in a histogram of equally sized bins
2025-09-07T06:38:50.7954580Z     
2025-09-07T06:38:50.7954730Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7954770Z     
2025-09-07T06:38:50.7954820Z       warnings.warn(msg)
2025-09-07T06:38:50.7954860Z     
2025-09-07T06:38:50.7954960Z --- Parse Warning: 139 / 146 ---
2025-09-07T06:38:50.7955690Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ModelReport in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/quantization/fx/_model_report/model_report.py line=24.
2025-09-07T06:38:50.7955840Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7955880Z     
2025-09-07T06:38:50.7956070Z     The ModelReport class aims to provide users an easy way to diagnose issues that they run into
2025-09-07T06:38:50.7956240Z     with their models. The class works with all traceable GraphModules to help diagnose issues,
2025-09-07T06:38:50.7956440Z     though the requirements on the type of model more-so depends on the specific report the user
2025-09-07T06:38:50.7956620Z     is trying to generate. With respect to the reports, the ModelReport class is initialized with
2025-09-07T06:38:50.7956790Z     a set of Detector classes, each of which generate reports on quantization configuration
2025-09-07T06:38:50.7956840Z     issues a use might have.
2025-09-07T06:38:50.7956880Z     
2025-09-07T06:38:50.7956960Z     Currently supports generating reports on:
2025-09-07T06:38:50.7957100Z     - Suggestions for per-channel vs. per-tensor quantization (nn.Module)
2025-09-07T06:38:50.7957260Z     - Suggestions for dynamic vs static quantization for linear layers (Graph Modules)
2025-09-07T06:38:50.7957450Z     - Suggestions for input-weight equalization for linear and conv layers (Graph Modules)
2025-09-07T06:38:50.7957580Z     - Suggestions for outlier detection for all layers (Graph Modules)
2025-09-07T06:38:50.7957620Z     
2025-09-07T06:38:50.7957860Z     The ModelReport class has the primary functionality of inserting observers (primarily the ModelReportObserver)
2025-09-07T06:38:50.7958080Z     where needed for each detector to gather the information it needs, and then after calibration, the ModelReport
2025-09-07T06:38:50.7958300Z     class compiles the report generated by each Detector class into a single report to return to the user. It also
2025-09-07T06:38:50.7958430Z     has the capability to remove all the observers it inserted as well.
2025-09-07T06:38:50.7958470Z     
2025-09-07T06:38:50.7958640Z     * :attr:`_model` The model we wish to generate the report for. Must be a traceable GraphModule
2025-09-07T06:38:50.7958680Z     
2025-09-07T06:38:50.7958910Z     * :attr:`_desired_report_detectors` The set of Detectors representing desired reports from the ModelReport class
2025-09-07T06:38:50.7959100Z         Make sure that these are all unique types of detectors [do not have more than 1 of the same class]
2025-09-07T06:38:50.7959140Z     
2025-09-07T06:38:50.7959310Z     * :attr:`_desired_detector_names` The set of detector names of the _desired_report_detectors.
2025-09-07T06:38:50.7959470Z         This set is generated by calling the get_detector_name() of each detector
2025-09-07T06:38:50.7959510Z     
2025-09-07T06:38:50.7959710Z     * :attr:`_detector_name_to_observer_fqns` The mapping from each detector to fqns of observers of interest
2025-09-07T06:38:50.7959920Z         The purpose of this is to keep track of what observers were inserted for each detector, so that they
2025-09-07T06:38:50.7959980Z         can be removed at the end if desired
2025-09-07T06:38:50.7960020Z     
2025-09-07T06:38:50.7960210Z     * :attr:`_prepared_flag` A boolean flag that keeps track of whether we have prepared the model or not
2025-09-07T06:38:50.7960350Z         This is to ensure we only insert observers once with the ModelReport instance
2025-09-07T06:38:50.7960400Z     
2025-09-07T06:38:50.7960550Z     * :attr:`_removed_observers` A boolean to track if we have removed observers already
2025-09-07T06:38:50.7960730Z         The purpose is to ensure we don't attempt to remove observers twice with the same ModelReport
2025-09-07T06:38:50.7960920Z         instance. This also allows the functionality where we can generate the report multiple times
2025-09-07T06:38:50.7961010Z         as long as we haven't removed the observers yet.
2025-09-07T06:38:50.7961040Z     
2025-09-07T06:38:50.7961090Z     Note:
2025-09-07T06:38:50.7961260Z         This class was initially designed to work with the Fx Graph Mode workflow in mind. However,
2025-09-07T06:38:50.7961450Z         full functionality is available as long as there is a traceable GraphModule that is being used.
2025-09-07T06:38:50.7961620Z         One method to get a traceable GraphModule without going through the Fx workflow is to use
2025-09-07T06:38:50.7961690Z         the QuantizationTracer class.
2025-09-07T06:38:50.7961730Z     
2025-09-07T06:38:50.7961780Z     General Flow for Fx workflow:
2025-09-07T06:38:50.7962030Z     1.) Initialize ModelReport object with reports of interest by passing in initialized detector objects and model
2025-09-07T06:38:50.7962100Z     2.) Prepare your model with prepare_fx
2025-09-07T06:38:50.7962250Z     3.) Call model_report.prepare_detailed_calibration to add relevant observers
2025-09-07T06:38:50.7962310Z     4.) Calibrate your model with data
2025-09-07T06:38:50.7962520Z     5.) Call model_report.generate_report on your model to generate report and optionally remove added observers
2025-09-07T06:38:50.7962560Z     Optional
2025-09-07T06:38:50.7962730Z         6.) Call model_report.generate_visualizer to get a ModelReportVisualizer instance
2025-09-07T06:38:50.7962870Z         7.) To help in parsing report information and debugging, view report info as a:
2025-09-07T06:38:50.7962940Z             - Table
2025-09-07T06:38:50.7962990Z             - Histogram
2025-09-07T06:38:50.7963030Z             - Line plot
2025-09-07T06:38:50.7963220Z     8.) Call model_report.generate_qconfigs to generate the qconfigs based on the report suggestions
2025-09-07T06:38:50.7963270Z     
2025-09-07T06:38:50.7963330Z     Example (with QuantizationTracer):
2025-09-07T06:38:50.7963380Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7963440Z         >>> # get the necessary qconfig
2025-09-07T06:38:50.7963510Z         >>> config = PrepareCustomConfig()
2025-09-07T06:38:50.7963600Z         >>> skipped_module_names, skipped_module_classes = (
2025-09-07T06:38:50.7963700Z         ...     get_skipped_module_name_and_classes(config, False)
2025-09-07T06:38:50.7963740Z         ... )
2025-09-07T06:38:50.7963780Z     
2025-09-07T06:38:50.7963860Z         >>> # initialize our model and get GraphModule
2025-09-07T06:38:50.7963910Z         >>> model = SomeModel()
2025-09-07T06:38:50.7964070Z         >>> tracer = QuantizationTracer(skipped_module_names, skipped_module_classes)
2025-09-07T06:38:50.7964170Z         >>> graph_module = GraphModule(model, tracer.trace(model))
2025-09-07T06:38:50.7964210Z     
2025-09-07T06:38:50.7964300Z         >>> # get our set of detectors and ModelReport instance
2025-09-07T06:38:50.7964380Z         >>> detector_set = set(
2025-09-07T06:38:50.7964420Z         ...     [
2025-09-07T06:38:50.7964510Z         ...         DynamicStaticDetector(tolerance=0.5),
2025-09-07T06:38:50.7964620Z         ...         InputWeightEqualizationDetector(ratio_threshold=0.7),
2025-09-07T06:38:50.7964670Z         ...     ]
2025-09-07T06:38:50.7964700Z         ... )
2025-09-07T06:38:50.7964840Z         >>> tracer_reporter = ModelReport(graph_module, tracer_detector_set)
2025-09-07T06:38:50.7964890Z     
2025-09-07T06:38:50.7964980Z         >>> # now we insert the observers and calibrate the model
2025-09-07T06:38:50.7965140Z         >>> tracer_model_with_observers = tracer_reporter.prepare_detailed_calibration()
2025-09-07T06:38:50.7965220Z         >>> for i in range(num_callibration_batches):
2025-09-07T06:38:50.7965300Z         >>>     example_input = get_callibration_input()
2025-09-07T06:38:50.7965380Z         >>>     tracer_model_with_observers(example_input)
2025-09-07T06:38:50.7965430Z     
2025-09-07T06:38:50.7965580Z         >>> # finally we generate the reports and optionally remove the observers we inserted
2025-09-07T06:38:50.7965680Z         >>> reports = tracer_reporter.generate_model_report(
2025-09-07T06:38:50.7965740Z         ...     remove_inserted_observers=True
2025-09-07T06:38:50.7965790Z         ... )
2025-09-07T06:38:50.7965820Z     
2025-09-07T06:38:50.7965960Z         >>> # Optional: we can generate the qconfig mapping based on the suggestions
2025-09-07T06:38:50.7966060Z         >>> qconfigs = model_report.generate_qconfig_mapping()
2025-09-07T06:38:50.7966090Z     
2025-09-07T06:38:50.7966240Z         >>> # Optional: we can generate the equalization mapping based on the suggestions
2025-09-07T06:38:50.7966350Z         >>> qconfigs = model_report.generate_equalization_mapping()
2025-09-07T06:38:50.7966390Z     
2025-09-07T06:38:50.7966580Z         >>> # Optional: we get a ModelReportVisualizer instance to do any visualizations desired
2025-09-07T06:38:50.7966720Z         >>> model_report_visualizer = tracer_reporter.generate_visualizer()
2025-09-07T06:38:50.7966760Z     
2025-09-07T06:38:50.7966800Z     
2025-09-07T06:38:50.7966950Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7966990Z     
2025-09-07T06:38:50.7967040Z       warnings.warn(msg)
2025-09-07T06:38:50.7967070Z     
2025-09-07T06:38:50.7967180Z --- Parse Warning: 140 / 146 ---
2025-09-07T06:38:50.7967930Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseSparsifier.squash_mask in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/pruning/sparsifier/base_sparsifier.py line=229.
2025-09-07T06:38:50.7968120Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7968230Z     Squashes the sparse masks into the appropriate tensors.
2025-09-07T06:38:50.7968270Z     
2025-09-07T06:38:50.7968400Z             If either the `params_to_keep` or `params_to_keep_per_layer` is set,
2025-09-07T06:38:50.7968510Z             the module will have a `sparse_params` dict attached to it.
2025-09-07T06:38:50.7968550Z     
2025-09-07T06:38:50.7968590Z             Args:
2025-09-07T06:38:50.7968710Z                 params_to_keep: List of keys to save in the module or a dict
2025-09-07T06:38:50.7968810Z                                 representing the modules and keys that will have
2025-09-07T06:38:50.7968880Z                                 sparsity parameters saved
2025-09-07T06:38:50.7969020Z                 params_to_keep_per_layer: Dict to specify the params that should be
2025-09-07T06:38:50.7969110Z                                 saved for specific layers. The keys in the dict
2025-09-07T06:38:50.7969210Z                                 should be the module fqn, while the values should
2025-09-07T06:38:50.7969310Z                                 be a list of strings with the names of the variables
2025-09-07T06:38:50.7969410Z                                 to save in the `sparse_params`
2025-09-07T06:38:50.7969450Z     
2025-09-07T06:38:50.7969490Z             Examples:
2025-09-07T06:38:50.7969570Z                 >>> # xdoctest: +SKIP("locals are undefined")
2025-09-07T06:38:50.7969640Z                 >>> # Don't save any sparse params
2025-09-07T06:38:50.7969730Z                 >>> sparsifier.squash_mask()
2025-09-07T06:38:50.7969820Z                 >>> hasattr(model.submodule1, "sparse_params")
2025-09-07T06:38:50.7969870Z                 False
2025-09-07T06:38:50.7969900Z     
2025-09-07T06:38:50.7969980Z                 >>> # Keep sparse params per layer
2025-09-07T06:38:50.7970040Z                 >>> sparsifier.squash_mask(
2025-09-07T06:38:50.7970110Z                 ...     params_to_keep_per_layer={
2025-09-07T06:38:50.7970190Z                 ...         "submodule1.linear1": ("foo", "bar"),
2025-09-07T06:38:50.7970270Z                 ...         "submodule2.linear42": ("baz",),
2025-09-07T06:38:50.7970320Z                 ...     }
2025-09-07T06:38:50.7970360Z                 ... )
2025-09-07T06:38:50.7970460Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-09-07T06:38:50.7970510Z                 {'foo': 42, 'bar': 24}
2025-09-07T06:38:50.7970610Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-09-07T06:38:50.7970660Z                 {'baz': 0.1}
2025-09-07T06:38:50.7970700Z     
2025-09-07T06:38:50.7970770Z                 >>> # Keep sparse params for all layers
2025-09-07T06:38:50.7970880Z                 >>> sparsifier.squash_mask(params_to_keep=("foo", "bar"))
2025-09-07T06:38:50.7970980Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-09-07T06:38:50.7971030Z                 {'foo': 42, 'bar': 24}
2025-09-07T06:38:50.7971130Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-09-07T06:38:50.7971200Z                 {'foo': 42, 'bar': 24}
2025-09-07T06:38:50.7971240Z     
2025-09-07T06:38:50.7971360Z                 >>> # Keep some sparse params for all layers, and specific ones for
2025-09-07T06:38:50.7971420Z                 >>> # some other layers
2025-09-07T06:38:50.7971480Z                 >>> sparsifier.squash_mask(
2025-09-07T06:38:50.7971550Z                 ...     params_to_keep=("foo", "bar"),
2025-09-07T06:38:50.7971680Z                 ...     params_to_keep_per_layer={"submodule2.linear42": ("baz",)},
2025-09-07T06:38:50.7971720Z                 ... )
2025-09-07T06:38:50.7971810Z                 >>> print(model.submodule1.linear1.sparse_params)
2025-09-07T06:38:50.7971870Z                 {'foo': 42, 'bar': 24}
2025-09-07T06:38:50.7971990Z                 >>> print(model.submodule2.linear42.sparse_params)
2025-09-07T06:38:50.7972050Z                 {'foo': 42, 'bar': 24, 'baz': 0.1}
2025-09-07T06:38:50.7972090Z             
2025-09-07T06:38:50.7972250Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7972290Z     
2025-09-07T06:38:50.7972340Z       warnings.warn(msg)
2025-09-07T06:38:50.7972540Z Running test_autoload_disable 1/1 ... [2025-09-07 06:38:50.683804]
2025-09-07T06:38:50.7972580Z     
2025-09-07T06:38:50.7972680Z --- Parse Warning: 141 / 146 ---
2025-09-07T06:38:50.7973500Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=ActivationSparsifier in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/pruning/_experimental/activation_sparsifier/activation_sparsifier.py line=16.
2025-09-07T06:38:50.7973650Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7973690Z     
2025-09-07T06:38:50.7973850Z     The Activation sparsifier class aims to sparsify/prune activations in a neural
2025-09-07T06:38:50.7973990Z     network. The idea is to attach the sparsifier to a layer (or layers) and it
2025-09-07T06:38:50.7974160Z     zeroes out the activations based on the mask_fn (or sparsification function)
2025-09-07T06:38:50.7974210Z     input by the user.
2025-09-07T06:38:50.7974350Z     The mask_fn is applied once all the inputs are aggregated and reduced i.e.
2025-09-07T06:38:50.7974440Z     mask = mask_fn(reduce_fn(aggregate_fn(activations)))
2025-09-07T06:38:50.7974480Z     
2025-09-07T06:38:50.7974540Z     Note::
2025-09-07T06:38:50.7974740Z         The sparsification mask is computed on the input **before it goes through the attached layer**.
2025-09-07T06:38:50.7974780Z     
2025-09-07T06:38:50.7974820Z     Args:
2025-09-07T06:38:50.7974870Z         model (nn.Module):
2025-09-07T06:38:50.7975010Z             The model whose layers will be sparsified. The layers that needs to be
2025-09-07T06:38:50.7975150Z             sparsified should be added separately using the register_layer() function
2025-09-07T06:38:50.7975220Z         aggregate_fn (Optional, Callable):
2025-09-07T06:38:50.7975380Z             default aggregate_fn that is used if not specified while registering the layer.
2025-09-07T06:38:50.7975480Z             specifies how inputs should be aggregated over time.
2025-09-07T06:38:50.7975650Z             The aggregate_fn should usually take 2 torch tensors and return the aggregated tensor.
2025-09-07T06:38:50.7975690Z             Example
2025-09-07T06:38:50.7975810Z                 def add_agg_fn(tensor1, tensor2):  return tensor1 + tensor2
2025-09-07T06:38:50.7975880Z                 reduce_fn (Optional, Callable):
2025-09-07T06:38:50.7976020Z                     default reduce_fn that is used if not specified while registering the layer.
2025-09-07T06:38:50.7976180Z                     reduce_fn will be called on the aggregated tensor i.e. the tensor obtained after
2025-09-07T06:38:50.7976250Z                     calling agg_fn() on all inputs.
2025-09-07T06:38:50.7976320Z                     Example
2025-09-07T06:38:50.7976440Z                 def mean_reduce_fn(agg_tensor):    return agg_tensor.mean(dim=0)
2025-09-07T06:38:50.7976500Z                 mask_fn (Optional, Callable):
2025-09-07T06:38:50.7976690Z                     default mask_fn that is used to create the sparsification mask using the tensor obtained after
2025-09-07T06:38:50.7976840Z                     calling the reduce_fn(). This is used by default if a custom one is passed in the
2025-09-07T06:38:50.7976900Z                     register_layer().
2025-09-07T06:38:50.7977100Z                     Note that the mask_fn() definition should contain the sparse arguments that is passed in sparse_config
2025-09-07T06:38:50.7977150Z                     arguments.
2025-09-07T06:38:50.7977240Z                 features (Optional, list):
2025-09-07T06:38:50.7977320Z                     default selected features to sparsify.
2025-09-07T06:38:50.7977480Z                     If this is non-empty, then the mask_fn will be applied for each feature of the input.
2025-09-07T06:38:50.7977540Z                     For example,
2025-09-07T06:38:50.7977690Z                 mask = [mask_fn(reduce_fn(aggregated_fn(input[feature])) for feature in features]
2025-09-07T06:38:50.7977760Z                 feature_dim (Optional, int):
2025-09-07T06:38:50.7977930Z                     default dimension of input features. Again, features along this dim will be chosen
2025-09-07T06:38:50.7977990Z                     for sparsification.
2025-09-07T06:38:50.7978040Z                 sparse_config (Dict):
2025-09-07T06:38:50.7978180Z                     Default configuration for the mask_fn. This config will be passed
2025-09-07T06:38:50.7978230Z                     with the mask_fn()
2025-09-07T06:38:50.7978280Z     
2025-09-07T06:38:50.7978320Z     Example:
2025-09-07T06:38:50.7978370Z         >>> # xdoctest: +SKIP
2025-09-07T06:38:50.7978420Z         >>> model = SomeModel()
2025-09-07T06:38:50.7978570Z         >>> act_sparsifier = ActivationSparsifier(...)  # init activation sparsifier
2025-09-07T06:38:50.7978630Z         >>> # Initialize aggregate_fn
2025-09-07T06:38:50.7978700Z         >>> def agg_fn(x, y):
2025-09-07T06:38:50.7978750Z         >>>     return x + y
2025-09-07T06:38:50.7978790Z         >>>
2025-09-07T06:38:50.7978840Z         >>> # Initialize reduce_fn
2025-09-07T06:38:50.7978900Z         >>> def reduce_fn(x):
2025-09-07T06:38:50.7978960Z         >>>     return torch.mean(x, dim=0)
2025-09-07T06:38:50.7979000Z         >>>
2025-09-07T06:38:50.7979070Z         >>> # Initialize mask_fn
2025-09-07T06:38:50.7979120Z         >>> def mask_fn(data):
2025-09-07T06:38:50.7979210Z         >>>     return torch.eye(data.shape).to(data.device)
2025-09-07T06:38:50.7979250Z         >>>
2025-09-07T06:38:50.7979290Z         >>>
2025-09-07T06:38:50.7979360Z         >>> act_sparsifier.register_layer(
2025-09-07T06:38:50.7979410Z         ...     model.some_layer,
2025-09-07T06:38:50.7979470Z         ...     aggregate_fn=agg_fn,
2025-09-07T06:38:50.7979520Z         ...     reduce_fn=reduce_fn,
2025-09-07T06:38:50.7979570Z         ...     mask_fn=mask_fn,
2025-09-07T06:38:50.7979610Z         ... )
2025-09-07T06:38:50.7979660Z         >>>
2025-09-07T06:38:50.7979710Z         >>> # start training process
2025-09-07T06:38:50.7979760Z         >>> for _ in [...]:
2025-09-07T06:38:50.7979810Z         >>> # epoch starts
2025-09-07T06:38:50.7979920Z         >>> # model.forward(), compute_loss() and model.backwards()
2025-09-07T06:38:50.7979960Z         >>> # epoch ends
2025-09-07T06:38:50.7980020Z         >>>     act_sparsifier.step()
2025-09-07T06:38:50.7980080Z         >>> # end training process
2025-09-07T06:38:50.7980140Z         >>> sparsifier.squash_mask()
2025-09-07T06:38:50.7980180Z     
2025-09-07T06:38:50.7980330Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7980370Z     
2025-09-07T06:38:50.7980420Z       warnings.warn(msg)
2025-09-07T06:38:50.7980460Z     
2025-09-07T06:38:50.7980580Z --- Parse Warning: 142 / 146 ---
2025-09-07T06:38:50.7981400Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=BaseDataScheduler.get_schedule_param in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/ao/pruning/_experimental/data_scheduler/base_data_scheduler.py line=91.
2025-09-07T06:38:50.7981560Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7981600Z     
2025-09-07T06:38:50.7981730Z     Abstract method that needs to be implemented by the child class.
2025-09-07T06:38:50.7981880Z     The expected return type should is a dictionary of name to schedule_param value
2025-09-07T06:38:50.7982060Z     The returned values will be updated in sparsifier when the scheduler step() function
2025-09-07T06:38:50.7982100Z     is called.
2025-09-07T06:38:50.7982140Z     
2025-09-07T06:38:50.7982180Z     Example:
2025-09-07T06:38:50.7982250Z         >>> def get_schedule_param(self):
2025-09-07T06:38:50.7982300Z         ...     new_param = {}
2025-09-07T06:38:50.7982400Z         ...     for name in self.sparsifier.data_groups.keys():
2025-09-07T06:38:50.7982450Z         ...         new_param[name] = (
2025-09-07T06:38:50.7982580Z         ...             self.sparsifier.data_groups[name][self.schedule_param] * 0.5
2025-09-07T06:38:50.7982620Z         ...         )
2025-09-07T06:38:50.7982680Z         ...     return new_param
2025-09-07T06:38:50.7982710Z     
2025-09-07T06:38:50.7982920Z     When the step() function is called, the value in self.sparsifier.data_groups[name][self.schedule_param]
2025-09-07T06:38:50.7982970Z     would be halved
2025-09-07T06:38:50.7983000Z     
2025-09-07T06:38:50.7983160Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7983200Z     
2025-09-07T06:38:50.7983250Z       warnings.warn(msg)
2025-09-07T06:38:50.7983290Z     
2025-09-07T06:38:50.7983390Z --- Parse Warning: 143 / 146 ---
2025-09-07T06:38:50.7984090Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedBernoulli in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/relaxed_bernoulli.py line=120.
2025-09-07T06:38:50.7984270Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7984330Z     
2025-09-07T06:38:50.7984440Z     Creates a RelaxedBernoulli distribution, parametrized by
2025-09-07T06:38:50.7984560Z     :attr:`temperature`, and either :attr:`probs` or :attr:`logits`
2025-09-07T06:38:50.7984690Z     (but not both). This is a relaxed version of the `Bernoulli` distribution,
2025-09-07T06:38:50.7984800Z     so the values are in (0, 1), and has reparametrizable samples.
2025-09-07T06:38:50.7984840Z     
2025-09-07T06:38:50.7984890Z     Example::
2025-09-07T06:38:50.7984930Z     
2025-09-07T06:38:50.7985010Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-09-07T06:38:50.7985090Z         >>> m = RelaxedBernoulli(torch.tensor([2.2]),
2025-09-07T06:38:50.7985170Z         ...                      torch.tensor([0.1, 0.2, 0.3, 0.99]))
2025-09-07T06:38:50.7985220Z         >>> m.sample()
2025-09-07T06:38:50.7985290Z         tensor([ 0.2951,  0.3442,  0.8918,  0.9021])
2025-09-07T06:38:50.7985330Z     
2025-09-07T06:38:50.7985370Z     Args:
2025-09-07T06:38:50.7985460Z         temperature (Tensor): relaxation temperature
2025-09-07T06:38:50.7985560Z         probs (Number, Tensor): the probability of sampling `1`
2025-09-07T06:38:50.7985660Z         logits (Number, Tensor): the log-odds of sampling `1`
2025-09-07T06:38:50.7985700Z     
2025-09-07T06:38:50.7985850Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7985890Z     
2025-09-07T06:38:50.7985940Z       warnings.warn(msg)
2025-09-07T06:38:50.7985980Z     
2025-09-07T06:38:50.7986110Z --- Parse Warning: 144 / 146 ---
2025-09-07T06:38:50.7986850Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=RelaxedOneHotCategorical in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/relaxed_categorical.py line=109.
2025-09-07T06:38:50.7987010Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7987050Z     
2025-09-07T06:38:50.7987180Z     Creates a RelaxedOneHotCategorical distribution parametrized by
2025-09-07T06:38:50.7987300Z     :attr:`temperature`, and either :attr:`probs` or :attr:`logits`.
2025-09-07T06:38:50.7987480Z     This is a relaxed version of the :class:`OneHotCategorical` distribution, so
2025-09-07T06:38:50.7987570Z     its samples are on simplex, and are reparametrizable.
2025-09-07T06:38:50.7987610Z     
2025-09-07T06:38:50.7987660Z     Example::
2025-09-07T06:38:50.7987700Z     
2025-09-07T06:38:50.7987780Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-09-07T06:38:50.7987880Z         >>> m = RelaxedOneHotCategorical(torch.tensor([2.2]),
2025-09-07T06:38:50.7987970Z         ...                              torch.tensor([0.1, 0.2, 0.3, 0.4]))
2025-09-07T06:38:50.7988010Z         >>> m.sample()
2025-09-07T06:38:50.7988080Z         tensor([ 0.1294,  0.2324,  0.3859,  0.2523])
2025-09-07T06:38:50.7988120Z     
2025-09-07T06:38:50.7988160Z     Args:
2025-09-07T06:38:50.7988250Z         temperature (Tensor): relaxation temperature
2025-09-07T06:38:50.7988310Z         probs (Tensor): event probabilities
2025-09-07T06:38:50.7988430Z         logits (Tensor): unnormalized log probability for each event
2025-09-07T06:38:50.7988470Z     
2025-09-07T06:38:50.7988620Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7988660Z     
2025-09-07T06:38:50.7988710Z       warnings.warn(msg)
2025-09-07T06:38:50.7988750Z     
2025-09-07T06:38:50.7988850Z --- Parse Warning: 145 / 146 ---
2025-09-07T06:38:50.7989630Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=LowRankMultivariateNormal in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/lowrank_multivariate_normal.py line=56.
2025-09-07T06:38:50.7989810Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7989850Z     
2025-09-07T06:38:50.7990040Z     Creates a multivariate normal distribution with covariance matrix having a low-rank form
2025-09-07T06:38:50.7990150Z     parameterized by :attr:`cov_factor` and :attr:`cov_diag`::
2025-09-07T06:38:50.7990190Z     
2025-09-07T06:38:50.7990300Z         covariance_matrix = cov_factor @ cov_factor.T + cov_diag
2025-09-07T06:38:50.7990340Z     
2025-09-07T06:38:50.7990380Z     Example:
2025-09-07T06:38:50.7990470Z         >>> # xdoctest: +REQUIRES(env:TORCH_DOCTEST_LAPACK)
2025-09-07T06:38:50.7990550Z         >>> # xdoctest: +IGNORE_WANT("non-deterministic")
2025-09-07T06:38:50.7990620Z         >>> m = LowRankMultivariateNormal(
2025-09-07T06:38:50.7990730Z         ...     torch.zeros(2), torch.tensor([[1.0], [0.0]]), torch.ones(2)
2025-09-07T06:38:50.7990770Z         ... )
2025-09-07T06:38:50.7990950Z         >>> m.sample()  # normally distributed with mean=`[0,0]`, cov_factor=`[[1],[0]]`, cov_diag=`[1,1]`
2025-09-07T06:38:50.7991000Z         tensor([-0.2102, -0.5429])
2025-09-07T06:38:50.7991040Z     
2025-09-07T06:38:50.7991080Z     Args:
2025-09-07T06:38:50.7991230Z         loc (Tensor): mean of the distribution with shape `batch_shape + event_shape`
2025-09-07T06:38:50.7991380Z         cov_factor (Tensor): factor part of low-rank form of covariance matrix with shape
2025-09-07T06:38:50.7991460Z             `batch_shape + event_shape + (rank,)`
2025-09-07T06:38:50.7991630Z         cov_diag (Tensor): diagonal part of low-rank form of covariance matrix with shape
2025-09-07T06:38:50.7991690Z             `batch_shape + event_shape`
2025-09-07T06:38:50.7991730Z     
2025-09-07T06:38:50.7991770Z     Note:
2025-09-07T06:38:50.7991930Z         The computation for determinant and inverse of covariance matrix is avoided when
2025-09-07T06:38:50.7992070Z         `cov_factor.shape[1] << cov_factor.shape[0]` thanks to `Woodbury matrix identity
2025-09-07T06:38:50.7992200Z         <https://en.wikipedia.org/wiki/Woodbury_matrix_identity>`_ and
2025-09-07T06:38:50.7992380Z         `matrix determinant lemma <https://en.wikipedia.org/wiki/Matrix_determinant_lemma>`_.
2025-09-07T06:38:50.7992530Z         Thanks to these formulas, we just need to compute the determinant and inverse of
2025-09-07T06:38:50.7992630Z         the small size "capacitance" matrix::
2025-09-07T06:38:50.7992670Z     
2025-09-07T06:38:50.7992780Z             capacitance = I + cov_factor.T @ inv(cov_diag) @ cov_factor
2025-09-07T06:38:50.7992820Z     
2025-09-07T06:38:50.7992970Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7993010Z     
2025-09-07T06:38:50.7993060Z       warnings.warn(msg)
2025-09-07T06:38:50.7993100Z     
2025-09-07T06:38:50.7993200Z --- Parse Warning: 146 / 146 ---
2025-09-07T06:38:50.7993910Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/xdoctest/core.py:423: UserWarning: Cannot scrape callname=MixtureSameFamily in modpath=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/distributions/mixture_same_family.py line=15.
2025-09-07T06:38:50.7994070Z     Caused by: DoctestParseError('Failed to parse doctest in _label_docsrc_lines')
2025-09-07T06:38:50.7994110Z     
2025-09-07T06:38:50.7994240Z     The `MixtureSameFamily` distribution implements a (batch of) mixture
2025-09-07T06:38:50.7994390Z     distribution where all component are from different parameterizations of
2025-09-07T06:38:50.7994510Z     the same distribution type. It is parameterized by a `Categorical`
2025-09-07T06:38:50.7994660Z     "selecting distribution" (over `k` component) and a component
2025-09-07T06:38:50.7994790Z     distribution, i.e., a `Distribution` with a rightmost batch shape
2025-09-07T06:38:50.7994890Z     (equal to `[k]`) which indexes each (batch of) component.
2025-09-07T06:38:50.7994920Z     
2025-09-07T06:38:50.7994970Z     Examples::
2025-09-07T06:38:50.7995010Z     
2025-09-07T06:38:50.7995100Z         >>> # xdoctest: +SKIP("undefined vars")
2025-09-07T06:38:50.7995220Z         >>> # Construct Gaussian Mixture Model in 1D consisting of 5 equally
2025-09-07T06:38:50.7995290Z         >>> # weighted normal distributions
2025-09-07T06:38:50.7995360Z         >>> mix = D.Categorical(torch.ones(5,))
2025-09-07T06:38:50.7995450Z         >>> comp = D.Normal(torch.randn(5,), torch.rand(5,))
2025-09-07T06:38:50.7995520Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-09-07T06:38:50.7995560Z     
2025-09-07T06:38:50.7995680Z         >>> # Construct Gaussian Mixture Model in 2D consisting of 5 equally
2025-09-07T06:38:50.7995760Z         >>> # weighted bivariate normal distributions
2025-09-07T06:38:50.7995830Z         >>> mix = D.Categorical(torch.ones(5,))
2025-09-07T06:38:50.7995890Z         >>> comp = D.Independent(D.Normal(
2025-09-07T06:38:50.7995970Z         ...          torch.randn(5,2), torch.rand(5,2)), 1)
2025-09-07T06:38:50.7996040Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-09-07T06:38:50.7996080Z     
2025-09-07T06:38:50.7996190Z         >>> # Construct a batch of 3 Gaussian Mixture Models in 2D each
2025-09-07T06:38:50.7996320Z         >>> # consisting of 5 random weighted bivariate normal distributions
2025-09-07T06:38:50.7996390Z         >>> mix = D.Categorical(torch.rand(3,5))
2025-09-07T06:38:50.7996450Z         >>> comp = D.Independent(D.Normal(
2025-09-07T06:38:50.7996530Z         ...         torch.randn(3,5,2), torch.rand(3,5,2)), 1)
2025-09-07T06:38:50.7996620Z         >>> gmm = MixtureSameFamily(mix, comp)
2025-09-07T06:38:50.7996660Z     
2025-09-07T06:38:50.7996700Z     Args:
2025-09-07T06:38:50.7996830Z         mixture_distribution: `torch.distributions.Categorical`-like
2025-09-07T06:38:50.7996940Z             instance. Manages the probability of selecting component.
2025-09-07T06:38:50.7997040Z             The number of categories must match the rightmost batch
2025-09-07T06:38:50.7997160Z             dimension of the `component_distribution`. Must have either
2025-09-07T06:38:50.7997250Z             scalar `batch_shape` or `batch_shape` matching
2025-09-07T06:38:50.7997330Z             `component_distribution.batch_shape[:-1]`
2025-09-07T06:38:50.7997460Z         component_distribution: `torch.distributions.Distribution`-like
2025-09-07T06:38:50.7997590Z             instance. Right-most batch dimension indexes component.
2025-09-07T06:38:50.7997630Z     
2025-09-07T06:38:50.7997780Z     Original Error: TokenError('unexpected EOF in multi-line statement', (1, 0))
2025-09-07T06:38:50.7997820Z     
2025-09-07T06:38:50.7997870Z       warnings.warn(msg)
2025-09-07T06:38:50.7997910Z     
2025-09-07T06:38:50.7997970Z 
2025-09-07T06:38:50.7998060Z === Found 8 run-time warnings ===
2025-09-07T06:38:50.7998160Z --- Runtime Warning: 1 / 8 ---
2025-09-07T06:38:50.7998330Z example = <DocTest(torch.library Library._impl_with_aoti_compile:0 ln 247) at 0x16af8a300>
2025-09-07T06:38:50.7998770Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py:282: UserWarning: Warning only once for all operators,  other operators may also be overridden.
2025-09-07T06:38:50.7998960Z       Overriding a previously registered kernel for the same operator and the same dispatch key
2025-09-07T06:38:50.7999080Z       operator: aten::div.Tensor(Tensor self, Tensor other) -> Tensor
2025-09-07T06:38:50.7999300Z         registered at /Users/ec2-user/runner/_work/pytorch/pytorch/build/aten/src/ATen/RegisterSchema.cpp:6
2025-09-07T06:38:50.7999350Z       dispatch key: CPU
2025-09-07T06:38:50.7999640Z       previous kernel: registered at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/LegacyBatchingRegistrations.cpp:1079
2025-09-07T06:38:50.8000360Z            new kernel: registered at <doctest:/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/library.py::Library._impl_with_aoti_compile:0>:1 (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/core/dispatch/OperatorEntry.cpp:225.)
2025-09-07T06:38:50.8000460Z       impl_fn(self.ns, name.split("::")[-1], dispatch_key)
2025-09-07T06:38:50.8000500Z     
2025-09-07T06:38:50.8000600Z --- Runtime Warning: 2 / 8 ---
2025-09-07T06:38:50.8000750Z example = <DocTest(torch._tensor Tensor.refine_names:0 ln 1333) at 0x16b83b860>
2025-09-07T06:38:50.8001620Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/_tensor.py:1351: UserWarning: Named tensors and all their associated APIs are an experimental feature and subject to change. Please do not use them for anything important until they are released as stable. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/c10/core/TensorImpl.h:1974.)
2025-09-07T06:38:50.8001690Z       return super().refine_names(names)
2025-09-07T06:38:50.8001730Z     
2025-09-07T06:38:50.8001820Z --- Runtime Warning: 3 / 8 ---
2025-09-07T06:38:50.8001960Z example = <DocTest(torch.nested as_nested_tensor:0 ln 61) at 0x16b9a1790>
2025-09-07T06:38:50.8003220Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nested/__init__.py:117: UserWarning: The PyTorch API of nested tensors is in prototype stage and will change in the near future. We recommend specifying layout=torch.jagged when constructing a nested tensor, as this layout receives active development, has better operator coverage, and works with torch.compile. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/aten/src/ATen/NestedTensorImpl.cpp:182.)
2025-09-07T06:38:50.8003380Z       return torch._nested_tensor_from_tensor_list(ts, dtype, None, device, None)
2025-09-07T06:38:50.8003420Z     
2025-09-07T06:38:50.8003510Z --- Runtime Warning: 4 / 8 ---
2025-09-07T06:38:50.8003690Z example = <DocTest(torch._functorch.eager_transforms linearize:0 ln 1704) at 0x16b9a31a0>
2025-09-07T06:38:50.8004610Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/fx/experimental/const_fold.py:278: UserWarning: Attempted to insert a get_attr Node with no underlying reference in the owning GraphModule! Call GraphModule.add_submodule to add the necessary submodule, GraphModule.add_parameter to add the necessary Parameter, or nn.Module.register_buffer to add the necessary buffer
2025-09-07T06:38:50.8004730Z       new_node = root_const_gm.graph.get_attr(in_node.target)
2025-09-07T06:38:50.8004770Z     
2025-09-07T06:38:50.8004870Z --- Runtime Warning: 5 / 8 ---
2025-09-07T06:38:50.8005030Z example = <DocTest(torch.nn.utils.weight_norm weight_norm:0 ln 134) at 0x16b98d3a0>
2025-09-07T06:38:50.8008320Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-09-07T06:38:50.8008410Z       WeightNorm.apply(module, name, dim)
2025-09-07T06:38:50.8008450Z     
2025-09-07T06:38:50.8008560Z --- Runtime Warning: 6 / 8 ---
2025-09-07T06:38:50.8008740Z example = <DocTest(torch.nn.utils.weight_norm remove_weight_norm:0 ln 156) at 0x16b98e420>
2025-09-07T06:38:50.8009270Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/utils/weight_norm.py:144: FutureWarning: `torch.nn.utils.weight_norm` is deprecated in favor of `torch.nn.utils.parametrizations.weight_norm`.
2025-09-07T06:38:50.8009340Z       WeightNorm.apply(module, name, dim)
2025-09-07T06:38:50.8009380Z     
2025-09-07T06:38:50.8009480Z --- Runtime Warning: 7 / 8 ---
2025-09-07T06:38:50.8009730Z example = <DocTest(torch.nn.modules.transformer Transformer:0 ln 90) at 0x16c8d1820>
2025-09-07T06:38:50.8010440Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-09-07T06:38:50.8010490Z       warnings.warn(
2025-09-07T06:38:50.8010530Z     
2025-09-07T06:38:50.8010620Z --- Runtime Warning: 8 / 8 ---
2025-09-07T06:38:50.8010810Z example = <DocTest(torch.nn.modules.transformer TransformerEncoder:0 ln 336) at 0x16c8d2120>
2025-09-07T06:38:50.8011490Z     /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/nn/modules/transformer.py:392: UserWarning: enable_nested_tensor is True, but self.use_nested_tensor is False because encoder_layer.self_attn.batch_first was not True(use batch_first for better inference performance)
2025-09-07T06:38:50.8011550Z       warnings.warn(
2025-09-07T06:38:50.8011590Z     
2025-09-07T06:38:50.8011760Z === 338 passed, 394 skipped, 154 warnings in 9.54 seconds ===
2025-09-07T06:38:50.8779800Z Processing /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions
2025-09-07T06:38:50.8783860Z   Preparing metadata (setup.py): started
2025-09-07T06:38:52.4192150Z   Preparing metadata (setup.py): finished with status 'done'
2025-09-07T06:38:52.4211620Z Building wheels for collected packages: torch_test_cpp_extension
2025-09-07T06:38:52.4218690Z   DEPRECATION: Building 'torch_test_cpp_extension' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torch_test_cpp_extension'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-09-07T06:38:52.4220040Z   Building wheel for torch_test_cpp_extension (setup.py): started
2025-09-07T06:39:22.7048660Z   Building wheel for torch_test_cpp_extension (setup.py): finished with status 'done'
2025-09-07T06:39:22.7054850Z   Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp312-cp312-macosx_14_0_arm64.whl size=371856 sha256=54f3f3d00f5cf6ef366ad1e815372b33e441a862a1ec144869f35e9fe2c65ee4
2025-09-07T06:39:22.7055870Z   Stored in directory: /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-ephem-wheel-cache-7rybm8i4/wheels/13/fd/2b/cbd255147070b1ddf079ebfdc11234c68b4b24a481cb702046
2025-09-07T06:39:22.7072080Z Successfully built torch_test_cpp_extension
2025-09-07T06:39:22.7788150Z Installing collected packages: torch_test_cpp_extension
2025-09-07T06:39:22.7857530Z Successfully installed torch_test_cpp_extension-0.0.0
2025-09-07T06:39:22.7882960Z 
2025-09-07T06:39:22.7883210Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T06:39:22.7883490Z [notice] To update, run: pip install --upgrade pip
2025-09-07T06:39:24.0588580Z 
2025-09-07T06:39:24.0589760Z Running tests...
2025-09-07T06:39:24.0590000Z ----------------------------------------------------------------------
2025-09-07T06:39:24.2004170Z .
2025-09-07T06:39:24.2004420Z ----------------------------------------------------------------------
2025-09-07T06:39:24.2004660Z Ran 1 test in 0.142s
2025-09-07T06:39:24.2004760Z 
2025-09-07T06:39:24.2004820Z OK
2025-09-07T06:39:24.2004880Z 
2025-09-07T06:39:24.2004950Z Generating XML reports...
2025-09-07T06:39:24.5099190Z Running test_autoload_enable 1/1 ... [2025-09-07 06:39:24.509774]
2025-09-07T06:39:24.6940360Z Processing /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions
2025-09-07T06:39:24.6944420Z   Preparing metadata (setup.py): started
2025-09-07T06:39:26.2197190Z   Preparing metadata (setup.py): finished with status 'done'
2025-09-07T06:39:26.2216840Z Building wheels for collected packages: torch_test_cpp_extension
2025-09-07T06:39:26.2224030Z   DEPRECATION: Building 'torch_test_cpp_extension' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torch_test_cpp_extension'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-09-07T06:39:26.2225340Z   Building wheel for torch_test_cpp_extension (setup.py): started
2025-09-07T06:39:56.1125280Z   Building wheel for torch_test_cpp_extension (setup.py): finished with status 'done'
2025-09-07T06:39:56.1131400Z   Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp312-cp312-macosx_14_0_arm64.whl size=371851 sha256=e982d2c8aa95aa77b8d43a3d8e07b840dfa02e58798ae27d43731ab530778128
2025-09-07T06:39:56.1132420Z   Stored in directory: /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-ephem-wheel-cache-6mkmlqch/wheels/13/fd/2b/cbd255147070b1ddf079ebfdc11234c68b4b24a481cb702046
2025-09-07T06:39:56.1148100Z Successfully built torch_test_cpp_extension
2025-09-07T06:39:56.1864470Z Installing collected packages: torch_test_cpp_extension
2025-09-07T06:39:56.1937230Z Successfully installed torch_test_cpp_extension-0.0.0
2025-09-07T06:39:56.1962890Z 
2025-09-07T06:39:56.1963130Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T06:39:56.1963410Z [notice] To update, run: pip install --upgrade pip
2025-09-07T06:39:57.4689230Z 
2025-09-07T06:39:57.4689540Z Running tests...
2025-09-07T06:39:57.4689780Z ----------------------------------------------------------------------
2025-09-07T06:39:57.6083010Z .
2025-09-07T06:39:57.6083500Z ----------------------------------------------------------------------
2025-09-07T06:39:57.6083770Z Ran 1 test in 0.139s
2025-09-07T06:39:57.6083870Z 
2025-09-07T06:39:57.6083910Z OK
2025-09-07T06:39:57.6083980Z 
2025-09-07T06:39:57.6084040Z Generating XML reports...
2025-09-07T06:39:57.9119830Z Running test_cpp_extensions_aot_ninja 1/1 ... [2025-09-07 06:39:57.911852]
2025-09-07T06:39:58.1385610Z Processing /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions
2025-09-07T06:39:58.1389700Z   Preparing metadata (setup.py): started
2025-09-07T06:39:59.7027610Z   Preparing metadata (setup.py): finished with status 'done'
2025-09-07T06:39:59.7047260Z Building wheels for collected packages: torch_test_cpp_extension
2025-09-07T06:39:59.7054330Z   DEPRECATION: Building 'torch_test_cpp_extension' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torch_test_cpp_extension'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-09-07T06:39:59.7055640Z   Building wheel for torch_test_cpp_extension (setup.py): started
2025-09-07T06:40:29.9544230Z   Building wheel for torch_test_cpp_extension (setup.py): finished with status 'done'
2025-09-07T06:40:29.9550390Z   Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp312-cp312-macosx_14_0_arm64.whl size=371946 sha256=f7efe874f4cac91996dfa8cfe3e315e7f2a67c49a6c4a1bdd89ef3345717c19d
2025-09-07T06:40:29.9551410Z   Stored in directory: /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-ephem-wheel-cache-mftv73k8/wheels/13/fd/2b/cbd255147070b1ddf079ebfdc11234c68b4b24a481cb702046
2025-09-07T06:40:29.9567310Z Successfully built torch_test_cpp_extension
2025-09-07T06:40:30.0284890Z Installing collected packages: torch_test_cpp_extension
2025-09-07T06:40:30.0373730Z Successfully installed torch_test_cpp_extension-0.0.0
2025-09-07T06:40:30.0399290Z 
2025-09-07T06:40:30.0399530Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T06:40:30.0399810Z [notice] To update, run: pip install --upgrade pip
2025-09-07T06:40:30.2517170Z Processing /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test
2025-09-07T06:40:30.2521540Z   Preparing metadata (setup.py): started
2025-09-07T06:40:31.1555370Z   Preparing metadata (setup.py): finished with status 'done'
2025-09-07T06:40:31.1574610Z Building wheels for collected packages: no_python_abi_suffix_test
2025-09-07T06:40:31.1581620Z   DEPRECATION: Building 'no_python_abi_suffix_test' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'no_python_abi_suffix_test'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-09-07T06:40:31.1582930Z   Building wheel for no_python_abi_suffix_test (setup.py): started
2025-09-07T06:40:32.2125480Z   Building wheel for no_python_abi_suffix_test (setup.py): finished with status 'done'
2025-09-07T06:40:32.2129280Z   Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp312-cp312-macosx_14_0_arm64.whl size=2172 sha256=0da360a2803367a1b89200072114ac0ef2a91054ea93679a5244df8c208dba31
2025-09-07T06:40:32.2130270Z   Stored in directory: /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-ephem-wheel-cache-w63vvbrg/wheels/c5/2d/34/77d7c88192227d22cd6f98e25e399687dca6007a8a63b50d3c
2025-09-07T06:40:32.2145780Z Successfully built no_python_abi_suffix_test
2025-09-07T06:40:32.2868210Z Installing collected packages: no_python_abi_suffix_test
2025-09-07T06:40:32.2931300Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-09-07T06:40:32.2957320Z 
2025-09-07T06:40:32.2957560Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T06:40:32.2957840Z [notice] To update, run: pip install --upgrade pip
2025-09-07T06:40:32.3264620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:40:32.3268880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_cpp_extensions_aot_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:40:32.326770]
2025-09-07T06:40:34.5610720Z 
2025-09-07T06:40:34.5611390Z test_cpp_extensions_aot_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_ninja_1.1_49c7453e23620c7a_.log
2025-09-07T06:40:34.5616380Z Running 21 items in this shard: test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_ninja.py::TestTorchLibrary::test_torch_library
2025-09-07T06:40:34.5620740Z 
2025-09-07T06:40:34.5620890Z Running test_cpp_extensions_aot_no_ninja 1/1 ... [2025-09-07 06:40:34.561745]
2025-09-07T06:40:34.5630740Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-09-07T06:40:34.5631060Z Uploading artifacts took 0.00 seconds
2025-09-07T06:40:34.7454330Z Processing /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions
2025-09-07T06:40:34.7458360Z   Preparing metadata (setup.py): started
2025-09-07T06:40:36.2734040Z   Preparing metadata (setup.py): finished with status 'done'
2025-09-07T06:40:36.2753690Z Building wheels for collected packages: torch_test_cpp_extension
2025-09-07T06:40:36.2760500Z   DEPRECATION: Building 'torch_test_cpp_extension' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'torch_test_cpp_extension'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-09-07T06:40:36.2761820Z   Building wheel for torch_test_cpp_extension (setup.py): started
2025-09-07T06:41:06.1489450Z   Building wheel for torch_test_cpp_extension (setup.py): finished with status 'done'
2025-09-07T06:41:06.1495490Z   Created wheel for torch_test_cpp_extension: filename=torch_test_cpp_extension-0.0.0-cp312-cp312-macosx_14_0_arm64.whl size=371850 sha256=8121fe5099f6ede90b928149363174b3519e2e39716def42362a297ae7e9d18e
2025-09-07T06:41:06.1496510Z   Stored in directory: /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-ephem-wheel-cache-opezz354/wheels/13/fd/2b/cbd255147070b1ddf079ebfdc11234c68b4b24a481cb702046
2025-09-07T06:41:06.1512450Z Successfully built torch_test_cpp_extension
2025-09-07T06:41:06.2235800Z Installing collected packages: torch_test_cpp_extension
2025-09-07T06:41:06.2316490Z Successfully installed torch_test_cpp_extension-0.0.0
2025-09-07T06:41:06.2342140Z 
2025-09-07T06:41:06.2342420Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T06:41:06.2342850Z [notice] To update, run: pip install --upgrade pip
2025-09-07T06:41:06.4451080Z Processing /Users/ec2-user/runner/_work/pytorch/pytorch/test/cpp_extensions/no_python_abi_suffix_test
2025-09-07T06:41:06.4455060Z   Preparing metadata (setup.py): started
2025-09-07T06:41:07.3439970Z   Preparing metadata (setup.py): finished with status 'done'
2025-09-07T06:41:07.3459310Z Building wheels for collected packages: no_python_abi_suffix_test
2025-09-07T06:41:07.3466070Z   DEPRECATION: Building 'no_python_abi_suffix_test' using the legacy setup.py bdist_wheel mechanism, which will be removed in a future version. pip 25.3 will enforce this behaviour change. A possible replacement is to use the standardized build interface by setting the `--use-pep517` option, (possibly combined with `--no-build-isolation`), or adding a `pyproject.toml` file to the source tree of 'no_python_abi_suffix_test'. Discussion can be found at https://github.com/pypa/pip/issues/6334
2025-09-07T06:41:07.3467390Z   Building wheel for no_python_abi_suffix_test (setup.py): started
2025-09-07T06:41:08.3765320Z   Building wheel for no_python_abi_suffix_test (setup.py): finished with status 'done'
2025-09-07T06:41:08.3769400Z   Created wheel for no_python_abi_suffix_test: filename=no_python_abi_suffix_test-0.0.0-cp312-cp312-macosx_14_0_arm64.whl size=2172 sha256=bf8ed7304d1447f076f9736fdd90b26f5d81542b0550972d40ba2c84bbb0fb9a
2025-09-07T06:41:08.3770700Z   Stored in directory: /private/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/pip-ephem-wheel-cache-32vawidv/wheels/c5/2d/34/77d7c88192227d22cd6f98e25e399687dca6007a8a63b50d3c
2025-09-07T06:41:08.3786150Z Successfully built no_python_abi_suffix_test
2025-09-07T06:41:08.4497590Z Installing collected packages: no_python_abi_suffix_test
2025-09-07T06:41:08.4553470Z Successfully installed no_python_abi_suffix_test-0.0.0
2025-09-07T06:41:08.4578680Z 
2025-09-07T06:41:08.4578910Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T06:41:08.4579180Z [notice] To update, run: pip install --upgrade pip
2025-09-07T06:41:08.4866280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:08.4870180Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_cpp_extensions_aot_no_ninja.py', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:08.486904]
2025-09-07T06:41:10.5480110Z 
2025-09-07T06:41:10.5481720Z test_cpp_extensions_aot_no_ninja 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cpp_extensions_aot_no_ninja_1.1_8b150c301ad0fb85_.log
2025-09-07T06:41:10.5486800Z Running 21 items in this shard: test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_backward, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cublas_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_dlink_libs, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cuda_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_cusolver_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_function, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_extension_module, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_mps_extension, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_no_python_abi_suffix_sets_the_correct_library_name, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_optional, test/test_cpp_extensions_aot_no_ninja.py::TestCppExtensionAOT::test_sycl_extension, test/test_cpp_extensions_aot_no_ninja.py::TestPybindTypeCasters::test_pybind_return_types, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_add, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_autocast_apis_for_maia_device, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_conv_backend_override, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_default_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_matmul_autocast_float16_precision, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_unregistered, test/test_cpp_extensions_aot_no_ninja.py::TestMAIATensor::test_zeros, test/test_cpp_extensions_aot_no_ninja.py::TestRNGExtension::test_rng, test/test_cpp_extensions_aot_no_ninja.py::TestTorchLibrary::test_torch_library
2025-09-07T06:41:10.5491390Z 
2025-09-07T06:41:10.5491550Z Running inductor/test_kernel_benchmark 1/1 ... [2025-09-07 06:41:10.548541]
2025-09-07T06:41:10.5491840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:10.5492630Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_kernel_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:10.548795]
2025-09-07T06:41:12.9794230Z 
2025-09-07T06:41:12.9794880Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_50d59f00b6235b33_.log
2025-09-07T06:41:12.9795410Z 
2025-09-07T06:41:12.9798520Z Running inductor/test_cudagraph_trees 1/1 ... [2025-09-07 06:41:12.979766]
2025-09-07T06:41:12.9798830Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:12.9801970Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:12.980071]
2025-09-07T06:41:15.4108510Z 
2025-09-07T06:41:15.4109140Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_068d3733de6824b1_.log
2025-09-07T06:41:15.4109650Z 
2025-09-07T06:41:15.4112750Z Running inductor/test_compile_subprocess 1/2 ... [2025-09-07 06:41:15.411196]
2025-09-07T06:41:15.4113080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:15.4116200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:15.411511]
2025-09-07T06:41:18.0837730Z 
2025-09-07T06:41:18.0838340Z inductor/test_compile_subprocess 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.2_0324558c9c2d7f7e_.log
2025-09-07T06:41:18.0838920Z Running 0 items in this shard:
2025-09-07T06:41:18.0839050Z 
2025-09-07T06:41:18.0842030Z Running inductor/test_minifier 1/1 ... [2025-09-07 06:41:18.084148]
2025-09-07T06:41:18.0842320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:18.0845240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:18.084430]
2025-09-07T06:41:20.4735690Z 
2025-09-07T06:41:20.4736260Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_76d8db0dad979a42_.log
2025-09-07T06:41:20.4736740Z 
2025-09-07T06:41:20.4740040Z Running test_cuda_expandable_segments 1/1 ... [2025-09-07 06:41:20.473929]
2025-09-07T06:41:20.4740380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:20.4743490Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:20.474235]
2025-09-07T06:41:22.7388740Z 
2025-09-07T06:41:22.7389390Z test_cuda_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_expandable_segments_1.1_bb01515e8b11a25f_.log
2025-09-07T06:41:22.7389870Z 
2025-09-07T06:41:22.7393310Z Running inductor/test_torchinductor_dynamic_shapes 2/4 ... [2025-09-07 06:41:22.739245]
2025-09-07T06:41:22.7393650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:22.7396670Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:22.739548]
2025-09-07T06:41:25.6005360Z 
2025-09-07T06:41:25.6006100Z inductor/test_torchinductor_dynamic_shapes 2/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.4_721627646c0c66aa_.log
2025-09-07T06:41:25.6006800Z Running 0 items in this shard:
2025-09-07T06:41:25.6007190Z 
2025-09-07T06:41:25.6010100Z Running inductor/test_torchinductor_dynamic_shapes 4/4 ... [2025-09-07 06:41:25.600934]
2025-09-07T06:41:25.6010490Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:25.6013980Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:25.601272]
2025-09-07T06:41:28.4419290Z 
2025-09-07T06:41:28.4420030Z inductor/test_torchinductor_dynamic_shapes 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_4.4_07dcbb9f1a52568c_.log
2025-09-07T06:41:28.4421050Z Running 1 items in this shard: test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_large_block_sizes_dynamic_shapes_mps
2025-09-07T06:41:28.4421510Z 
2025-09-07T06:41:28.4423920Z Running export/test_torchbind 1/1 ... [2025-09-07 06:41:28.442329]
2025-09-07T06:41:28.4429190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:28.4430080Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_torchbind.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:28.442643]
2025-09-07T06:41:30.9812970Z 
2025-09-07T06:41:30.9813660Z export/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_torchbind_1.1_0861920a0327de8b_.log
2025-09-07T06:41:30.9814380Z Running 0 items in this shard:
2025-09-07T06:41:30.9814550Z 
2025-09-07T06:41:30.9818700Z Running test_nestedtensor 1/2 ... [2025-09-07 06:41:30.981794]
2025-09-07T06:41:30.9819270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:30.9823020Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:30.982180]
2025-09-07T06:41:33.6414240Z 
2025-09-07T06:41:33.6414760Z test_nestedtensor 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.2_16cdcff211650726_.log
2025-09-07T06:41:33.6415280Z Running 0 items in this shard:
2025-09-07T06:41:33.6415410Z 
2025-09-07T06:41:33.6418770Z Running inductor/test_padding 1/1 ... [2025-09-07 06:41:33.641811]
2025-09-07T06:41:33.6419300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:33.6422110Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_padding.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:33.642117]
2025-09-07T06:41:36.0381630Z 
2025-09-07T06:41:36.0382200Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_e2a377d0564c615b_.log
2025-09-07T06:41:36.0382640Z 
2025-09-07T06:41:36.0385880Z Running dynamo/test_subclasses 1/1 ... [2025-09-07 06:41:36.038513]
2025-09-07T06:41:36.0386160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:36.0389110Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_subclasses.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:36.038806]
2025-09-07T06:41:38.5391510Z 
2025-09-07T06:41:38.5392260Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_a8deee3f402da407_.log
2025-09-07T06:41:38.5393020Z Running 0 items in this shard:
2025-09-07T06:41:38.5393160Z 
2025-09-07T06:41:38.5396020Z Running export/test_draft_export 1/1 ... [2025-09-07 06:41:38.539541]
2025-09-07T06:41:38.5396320Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:38.5399580Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_draft_export.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:38.539846]
2025-09-07T06:41:40.2608010Z 
2025-09-07T06:41:40.2608770Z export/test_draft_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_draft_export_1.1_0060f83ed2f7ba64_.log
2025-09-07T06:41:40.2609460Z Running 0 items in this shard:
2025-09-07T06:41:40.2609620Z 
2025-09-07T06:41:40.2613420Z Running test_sparse 1/1 ... [2025-09-07 06:41:40.261271]
2025-09-07T06:41:40.2613750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:40.2617360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_sparse.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:40.261628]
2025-09-07T06:41:43.0911550Z 
2025-09-07T06:41:43.0912080Z test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_1.1_522e8fe6a9214847_.log
2025-09-07T06:41:43.0912670Z Running 0 items in this shard:
2025-09-07T06:41:43.0912830Z 
2025-09-07T06:41:43.0915400Z Running test_package 1/1 ... [2025-09-07 06:41:43.091481]
2025-09-07T06:41:43.0915680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:43.0918510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_package.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:43.091761]
2025-09-07T06:41:44.7418820Z 
2025-09-07T06:41:44.7419340Z test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_package_1.1_094cf665a37e8428_.log
2025-09-07T06:41:44.7419840Z Running 0 items in this shard:
2025-09-07T06:41:44.7419970Z 
2025-09-07T06:41:44.7423000Z Running export/test_retraceability 1/1 ... [2025-09-07 06:41:44.742243]
2025-09-07T06:41:44.7423310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:44.7426340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_retraceability.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:44.742535]
2025-09-07T06:41:47.3810740Z 
2025-09-07T06:41:47.3811370Z export/test_retraceability 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_retraceability_1.1_7c783557b2674efb_.log
2025-09-07T06:41:47.3812010Z Running 0 items in this shard:
2025-09-07T06:41:47.3812150Z 
2025-09-07T06:41:47.3815630Z Running export/test_export_strict 1/1 ... [2025-09-07 06:41:47.381488]
2025-09-07T06:41:47.3815960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:47.3819190Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_export_strict.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:47.381815]
2025-09-07T06:41:49.9199620Z 
2025-09-07T06:41:49.9200290Z export/test_export_strict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_strict_1.1_da4098ea362587b1_.log
2025-09-07T06:41:49.9201190Z Running 0 items in this shard:
2025-09-07T06:41:49.9201350Z 
2025-09-07T06:41:49.9205150Z Running inductor/test_triton_extension_backend 1/1 ... [2025-09-07 06:41:49.920425]
2025-09-07T06:41:49.9205560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:49.9209520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:49.920817]
2025-09-07T06:41:52.3954620Z 
2025-09-07T06:41:52.3955270Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_819b5b6c14fc845a_.log
2025-09-07T06:41:52.3955810Z 
2025-09-07T06:41:52.3958770Z Running test_autoload 1/1 ... [2025-09-07 06:41:52.395801]
2025-09-07T06:41:52.3959050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:52.3961880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_autoload.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:52.396099]
2025-09-07T06:41:53.9866020Z 
2025-09-07T06:41:53.9866550Z test_autoload 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autoload_1.1_110cfdf19ef34467_.log
2025-09-07T06:41:53.9867070Z Running 0 items in this shard:
2025-09-07T06:41:53.9867210Z 
2025-09-07T06:41:53.9870930Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-09-07 06:41:53.987033]
2025-09-07T06:41:53.9871240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:53.9874490Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_deque_reconstruct.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:53.987330]
2025-09-07T06:41:55.5917280Z 
2025-09-07T06:41:55.5917990Z dynamo/test_deque_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deque_reconstruct_1.1_1f02b495a0cd7e3d_.log
2025-09-07T06:41:55.5918650Z Running 0 items in this shard:
2025-09-07T06:41:55.5918800Z 
2025-09-07T06:41:55.5922130Z Running test_utils_config_module 1/1 ... [2025-09-07 06:41:55.592145]
2025-09-07T06:41:55.5922640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:55.5925540Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_utils_config_module.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:55.592462]
2025-09-07T06:41:57.1851580Z 
2025-09-07T06:41:57.1852180Z test_utils_config_module 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_config_module_1.1_65921cf860469542_.log
2025-09-07T06:41:57.1852730Z Running 0 items in this shard:
2025-09-07T06:41:57.1852850Z 
2025-09-07T06:41:57.1856070Z Running test_mkl_verbose 1/1 ... [2025-09-07 06:41:57.185528]
2025-09-07T06:41:57.1856350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:57.1858890Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_mkl_verbose.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:57.185809]
2025-09-07T06:41:58.7882450Z 
2025-09-07T06:41:58.7882990Z test_mkl_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkl_verbose_1.1_d5f074d02e1931a3_.log
2025-09-07T06:41:58.7883640Z Running 0 items in this shard:
2025-09-07T06:41:58.7883770Z 
2025-09-07T06:41:58.7886620Z Running export/test_unflatten_training_ir 1/1 ... [2025-09-07 06:41:58.788597]
2025-09-07T06:41:58.7886930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:41:58.7890120Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_unflatten_training_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:41:58.788896]
2025-09-07T06:42:00.4304940Z 
2025-09-07T06:42:00.4305710Z export/test_unflatten_training_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_training_ir_1.1_a4f27324954e6887_.log
2025-09-07T06:42:00.4306480Z Running 0 items in this shard:
2025-09-07T06:42:00.4306650Z 
2025-09-07T06:42:00.4310390Z Running inductor/test_cpp_wrapper_hipify 1/1 ... [2025-09-07 06:42:00.430952]
2025-09-07T06:42:00.4310810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:00.4314490Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_cpp_wrapper_hipify.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:00.431319]
2025-09-07T06:42:02.2630130Z 
2025-09-07T06:42:02.2630820Z inductor/test_cpp_wrapper_hipify 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpp_wrapper_hipify_1.1_dce107dc487cca64_.log
2025-09-07T06:42:02.2631400Z Running 0 items in this shard:
2025-09-07T06:42:02.2631530Z 
2025-09-07T06:42:02.2634440Z Running inductor/test_external_callables 1/1 ... [2025-09-07 06:42:02.263345]
2025-09-07T06:42:02.2634780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:02.2637520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_external_callables.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:02.263639]
2025-09-07T06:42:03.9733180Z 
2025-09-07T06:42:03.9733880Z inductor/test_external_callables 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_external_callables_1.1_f7399868631efbbf_.log
2025-09-07T06:42:03.9734450Z Running 0 items in this shard:
2025-09-07T06:42:03.9734810Z 
2025-09-07T06:42:03.9736960Z Running inductor/test_remote_cache 1/1 ... [2025-09-07 06:42:03.973635]
2025-09-07T06:42:03.9737250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:03.9740130Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_remote_cache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:03.973914]
2025-09-07T06:42:05.5683980Z 
2025-09-07T06:42:05.5684580Z inductor/test_remote_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_remote_cache_1.1_e059a5d015a8ff5f_.log
2025-09-07T06:42:05.5685110Z Running 0 items in this shard:
2025-09-07T06:42:05.5685240Z 
2025-09-07T06:42:05.5688000Z Running export/test_export_training_ir_to_run_decomp 1/1 ... [2025-09-07 06:42:05.568739]
2025-09-07T06:42:05.5688330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:05.5691390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_export_training_ir_to_run_decomp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:05.569044]
2025-09-07T06:42:08.1160400Z 
2025-09-07T06:42:08.1161170Z export/test_export_training_ir_to_run_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_ffdb7b6efa0d66f1_.log
2025-09-07T06:42:08.1161930Z Running 0 items in this shard:
2025-09-07T06:42:08.1162090Z 
2025-09-07T06:42:08.1165870Z Running inductor/test_ck_backend 1/1 ... [2025-09-07 06:42:08.116483]
2025-09-07T06:42:08.1166250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:08.1169500Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_ck_backend.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:08.116835]
2025-09-07T06:42:10.5503960Z 
2025-09-07T06:42:10.5504550Z inductor/test_ck_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ck_backend_1.1_3d239e0950120bf2_.log
2025-09-07T06:42:10.5505010Z 
2025-09-07T06:42:10.5508280Z Running inductor/test_best_config 1/1 ... [2025-09-07 06:42:10.550746]
2025-09-07T06:42:10.5508580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:10.5511610Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:10.551054]
2025-09-07T06:42:12.9484940Z 
2025-09-07T06:42:12.9485570Z inductor/test_best_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_best_config_1.1_a5cfee19166cf934_.log
2025-09-07T06:42:12.9486050Z 
2025-09-07T06:42:12.9489470Z Running inductor/test_triton_wrapper 1/1 ... [2025-09-07 06:42:12.948844]
2025-09-07T06:42:12.9489780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:12.9492310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:12.949138]
2025-09-07T06:42:15.3579130Z 
2025-09-07T06:42:15.3579790Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_a845346cc8f9cfc4_.log
2025-09-07T06:42:15.3580490Z 
2025-09-07T06:42:15.3583000Z Running inductor/test_move_constructors_to_cuda 1/1 ... [2025-09-07 06:42:15.358245]
2025-09-07T06:42:15.3583330Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:15.3586670Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_move_constructors_to_cuda.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:15.358547]
2025-09-07T06:42:17.7733140Z 
2025-09-07T06:42:17.7733850Z inductor/test_move_constructors_to_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_cuda_1.1_0a216d6298746730_.log
2025-09-07T06:42:17.7734380Z 
2025-09-07T06:42:17.7737690Z Running inductor/test_autoheuristic 1/1 ... [2025-09-07 06:42:17.773683]
2025-09-07T06:42:17.7738000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:17.7740710Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:17.773988]
2025-09-07T06:42:20.1784990Z 
2025-09-07T06:42:20.1785800Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_8e82f3625d653cbf_.log
2025-09-07T06:42:20.1786270Z 
2025-09-07T06:42:20.1789540Z Running inductor/test_subgraph_choice 1/1 ... [2025-09-07 06:42:20.178873]
2025-09-07T06:42:20.1790040Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:20.1792650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:20.179164]
2025-09-07T06:42:22.5493120Z 
2025-09-07T06:42:22.5493860Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_10502fb675d58f37_.log
2025-09-07T06:42:22.5494360Z 
2025-09-07T06:42:22.5497460Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-09-07 06:42:22.549663]
2025-09-07T06:42:22.5497770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:22.5500760Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:22.549964]
2025-09-07T06:42:25.4243760Z 
2025-09-07T06:42:25.4244410Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_f23d38308052d588_.log
2025-09-07T06:42:25.4244930Z 
2025-09-07T06:42:25.4247810Z Running export/test_passes 1/1 ... [2025-09-07 06:42:25.424700]
2025-09-07T06:42:25.4248260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:25.4250690Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_passes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:25.424990]
2025-09-07T06:42:27.8305940Z 
2025-09-07T06:42:27.8306510Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_0e2eea809ed0cdf6_.log
2025-09-07T06:42:27.8307040Z Running 0 items in this shard:
2025-09-07T06:42:27.8307170Z 
2025-09-07T06:42:27.8310420Z Running inductor/test_kernel_optimization 1/1 ... [2025-09-07 06:42:27.830982]
2025-09-07T06:42:27.8310910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:27.8313760Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_kernel_optimization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:27.831276]
2025-09-07T06:42:31.9582040Z 
2025-09-07T06:42:31.9582710Z inductor/test_kernel_optimization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_optimization_1.1_e7ec9953c16e06a1_.log
2025-09-07T06:42:31.9584070Z Running 1 items in this shard: test/inductor/test_kernel_optimization.py::TestKernelOptimization::test_einsum_to_pointwise
2025-09-07T06:42:31.9584430Z 
2025-09-07T06:42:31.9590260Z Running test_namedtensor 1/1 ... [2025-09-07 06:42:31.958887]
2025-09-07T06:42:31.9590570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:31.9594820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_namedtensor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:31.959370]
2025-09-07T06:42:33.7377100Z 
2025-09-07T06:42:33.7377650Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_aa8d9298e04132a7_.log
2025-09-07T06:42:33.7378180Z Running 0 items in this shard:
2025-09-07T06:42:33.7378320Z 
2025-09-07T06:42:33.7381980Z Running dynamo/test_autograd_function 1/1 ... [2025-09-07 06:42:33.738113]
2025-09-07T06:42:33.7382310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:33.7385280Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_autograd_function.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:33.738429]
2025-09-07T06:42:36.3017710Z 
2025-09-07T06:42:36.3018430Z dynamo/test_autograd_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_autograd_function_1.1_8690c6b0e0543f85_.log
2025-09-07T06:42:36.3019150Z Running 0 items in this shard:
2025-09-07T06:42:36.3019310Z 
2025-09-07T06:42:36.3022920Z Running inductor/test_alignment 1/1 ... [2025-09-07 06:42:36.302217]
2025-09-07T06:42:36.3023270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:36.3026910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_alignment.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:36.302575]
2025-09-07T06:42:38.8900470Z 
2025-09-07T06:42:38.8901050Z inductor/test_alignment 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_alignment_1.1_306b9b6a0cd01f7b_.log
2025-09-07T06:42:38.8901800Z Running 0 items in this shard:
2025-09-07T06:42:38.8901950Z 
2025-09-07T06:42:38.8904890Z Running dynamo/test_config 1/1 ... [2025-09-07 06:42:38.890433]
2025-09-07T06:42:38.8905190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:38.8908330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:38.890738]
2025-09-07T06:42:40.5957130Z 
2025-09-07T06:42:40.5957720Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_09cd0f0de0ab3d5a_.log
2025-09-07T06:42:40.5958580Z Running 0 items in this shard:
2025-09-07T06:42:40.5958720Z 
2025-09-07T06:42:40.5962350Z Running dynamo/test_compile 1/1 ... [2025-09-07 06:42:40.596163]
2025-09-07T06:42:40.5962660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:40.5966000Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_compile.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:40.596494]
2025-09-07T06:42:42.3056750Z 
2025-09-07T06:42:42.3057390Z dynamo/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compile_1.1_0c41ed42dfbe64d0_.log
2025-09-07T06:42:42.3057990Z Running 0 items in this shard:
2025-09-07T06:42:42.3058150Z 
2025-09-07T06:42:42.3062200Z Running test_openmp 1/1 ... [2025-09-07 06:42:42.306132]
2025-09-07T06:42:42.3062530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:42.3066540Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_openmp.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:42.306539]
2025-09-07T06:42:43.9061630Z 
2025-09-07T06:42:43.9062140Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_bdcd4cdc17ef66b8_.log
2025-09-07T06:42:43.9062630Z Running 0 items in this shard:
2025-09-07T06:42:43.9062760Z 
2025-09-07T06:42:43.9066310Z Running functorch/test_ops 1/2 ... [2025-09-07 06:42:43.906564]
2025-09-07T06:42:43.9066800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:43.9069880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:43.906893]
2025-09-07T06:42:47.2867280Z 
2025-09-07T06:42:47.2867870Z functorch/test_ops 1/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.2_0c36c9ea1772f6ff_.log
2025-09-07T06:42:47.2868440Z Running 0 items in this shard:
2025-09-07T06:42:47.2868590Z 
2025-09-07T06:42:47.2872280Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-09-07 06:42:47.287145]
2025-09-07T06:42:47.2872750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:47.2876040Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:47.287487]
2025-09-07T06:42:49.0647370Z 
2025-09-07T06:42:49.0648400Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_7e27b5070fc0f5e7_.log
2025-09-07T06:42:49.0649180Z Running 0 items in this shard:
2025-09-07T06:42:49.0649310Z 
2025-09-07T06:42:49.0651900Z Running inductor/test_cooperative_reductions 1/1 ... [2025-09-07 06:42:49.065108]
2025-09-07T06:42:49.0652240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:49.0654750Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:49.065393]
2025-09-07T06:42:51.4182090Z 
2025-09-07T06:42:51.4182950Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_2a357b7de3b9d30a_.log
2025-09-07T06:42:51.4183470Z 
2025-09-07T06:42:51.4186480Z Running inductor/test_cudacodecache 1/1 ... [2025-09-07 06:42:51.418569]
2025-09-07T06:42:51.4186780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:51.4189410Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_cudacodecache.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:51.418855]
2025-09-07T06:42:53.8263770Z 
2025-09-07T06:42:53.8264420Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_f694251d0c2cb6e8_.log
2025-09-07T06:42:53.8264890Z 
2025-09-07T06:42:53.8268000Z Running inductor/test_halide 1/1 ... [2025-09-07 06:42:53.826718]
2025-09-07T06:42:53.8268280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:53.8271270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_halide.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:53.827020]
2025-09-07T06:42:56.3315790Z 
2025-09-07T06:42:56.3316380Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_8163460a0a526810_.log
2025-09-07T06:42:56.3316810Z 
2025-09-07T06:42:56.3320490Z Running inductor/test_multi_kernel 1/1 ... [2025-09-07 06:42:56.331945]
2025-09-07T06:42:56.3320800Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:56.3323620Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_multi_kernel.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:56.332248]
2025-09-07T06:42:58.7744910Z 
2025-09-07T06:42:58.7745490Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_5bbc82ead44389e6_.log
2025-09-07T06:42:58.7745960Z 
2025-09-07T06:42:58.7749150Z Running inductor/test_loop_ordering 1/1 ... [2025-09-07 06:42:58.774841]
2025-09-07T06:42:58.7749440Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:42:58.7752390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_loop_ordering.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:42:58.775132]
2025-09-07T06:43:01.1740000Z 
2025-09-07T06:43:01.1740630Z inductor/test_loop_ordering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_loop_ordering_1.1_c46cb94609f1a928_.log
2025-09-07T06:43:01.1741110Z 
2025-09-07T06:43:01.1744580Z Running inductor/test_perf 1/1 ... [2025-09-07 06:43:01.174349]
2025-09-07T06:43:01.1744870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:01.1751860Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_perf.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:01.174641]
2025-09-07T06:43:03.5769510Z 
2025-09-07T06:43:03.5770020Z inductor/test_perf 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_perf_1.1_2991462985dd877d_.log
2025-09-07T06:43:03.5770440Z 
2025-09-07T06:43:03.5773480Z Running test_jit 1/1 ... [2025-09-07 06:43:03.577269]
2025-09-07T06:43:03.5773730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:03.5776420Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_jit.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:03.577569]
2025-09-07T06:43:06.5442210Z 
2025-09-07T06:43:06.5442740Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_79a2065dea4b4422_.log
2025-09-07T06:43:06.5443230Z Running 0 items in this shard:
2025-09-07T06:43:06.5443380Z 
2025-09-07T06:43:06.5447240Z Running nn/test_multihead_attention 1/1 ... [2025-09-07 06:43:06.544654]
2025-09-07T06:43:06.5447580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:06.5450810Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:06.544973]
2025-09-07T06:43:08.3598760Z 
2025-09-07T06:43:08.3599420Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_9c0deb9430db377f_.log
2025-09-07T06:43:08.3600300Z Running 0 items in this shard:
2025-09-07T06:43:08.3600460Z 
2025-09-07T06:43:08.3603770Z Running inductor/test_snode_runtime 1/1 ... [2025-09-07 06:43:08.360301]
2025-09-07T06:43:08.3604130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:08.3607880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_snode_runtime.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:08.360659]
2025-09-07T06:43:10.7389720Z 
2025-09-07T06:43:10.7390370Z inductor/test_snode_runtime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_snode_runtime_1.1_135f58d1292b0543_.log
2025-09-07T06:43:10.7390890Z 
2025-09-07T06:43:10.7394400Z Running distributions/test_constraints 1/1 ... [2025-09-07 06:43:10.739354]
2025-09-07T06:43:10.7394730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:10.7397560Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'distributions/test_constraints.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:10.739659]
2025-09-07T06:43:12.5046980Z 
2025-09-07T06:43:12.5047630Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_1f20a6f03bca0bf6_.log
2025-09-07T06:43:12.5048260Z Running 0 items in this shard:
2025-09-07T06:43:12.5048390Z 
2025-09-07T06:43:12.5051660Z Running functorch/test_ac_knapsack 1/1 ... [2025-09-07 06:43:12.505090]
2025-09-07T06:43:12.5051970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:12.5054840Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'functorch/test_ac_knapsack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:12.505387]
2025-09-07T06:43:14.1456810Z 
2025-09-07T06:43:14.1457460Z functorch/test_ac_knapsack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_knapsack_1.1_ba71ac4be7ca721d_.log
2025-09-07T06:43:14.1458000Z Running 0 items in this shard:
2025-09-07T06:43:14.1458120Z 
2025-09-07T06:43:14.1461400Z Running profiler/test_record_function 1/1 ... [2025-09-07 06:43:14.146072]
2025-09-07T06:43:14.1461710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:14.1464760Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'profiler/test_record_function.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:14.146376]
2025-09-07T06:43:15.7760530Z 
2025-09-07T06:43:15.7761240Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_619b55b22955948a_.log
2025-09-07T06:43:15.7761950Z Running 0 items in this shard:
2025-09-07T06:43:15.7762120Z 
2025-09-07T06:43:15.7765700Z Running export/test_serialize 1/1 ... [2025-09-07 06:43:15.776496]
2025-09-07T06:43:15.7766050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:15.7769510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_serialize.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:15.776837]
2025-09-07T06:43:18.3630500Z 
2025-09-07T06:43:18.3631050Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_f16ddaed9914fdd9_.log
2025-09-07T06:43:18.3631560Z Running 0 items in this shard:
2025-09-07T06:43:18.3631690Z 
2025-09-07T06:43:18.3634700Z Running test_ops_gradients 1/1 ... [2025-09-07 06:43:18.363403]
2025-09-07T06:43:18.3635120Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:18.3637590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:18.363683]
2025-09-07T06:43:21.2475870Z 
2025-09-07T06:43:21.2476480Z test_ops_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.1_e20d80e6bb6fcae9_.log
2025-09-07T06:43:21.2477030Z Running 0 items in this shard:
2025-09-07T06:43:21.2477170Z 
2025-09-07T06:43:21.2480670Z Running functorch/test_vmap 1/1 ... [2025-09-07 06:43:21.248000]
2025-09-07T06:43:21.2480990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:21.2484310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:21.248327]
2025-09-07T06:43:23.8957070Z 
2025-09-07T06:43:23.8957610Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_b58fc1d58e563615_.log
2025-09-07T06:43:23.8958140Z Running 0 items in this shard:
2025-09-07T06:43:23.8958270Z 
2025-09-07T06:43:23.8961660Z Running dynamo/test_flat_apply 1/1 ... [2025-09-07 06:43:23.896094]
2025-09-07T06:43:23.8961950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:23.8964680Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:23.896376]
2025-09-07T06:43:25.6031420Z 
2025-09-07T06:43:25.6032070Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_d831673543036de7_.log
2025-09-07T06:43:25.6032700Z Running 0 items in this shard:
2025-09-07T06:43:25.6033070Z 
2025-09-07T06:43:25.6036410Z Running export/test_unflatten 1/1 ... [2025-09-07 06:43:25.603563]
2025-09-07T06:43:25.6036770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:25.6040470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:25.603929]
2025-09-07T06:43:27.2427150Z 
2025-09-07T06:43:27.2427790Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_ff2f21e045bebf2f_.log
2025-09-07T06:43:27.2428470Z Running 0 items in this shard:
2025-09-07T06:43:27.2428640Z 
2025-09-07T06:43:27.2432680Z Running lazy/test_step_closures 1/1 ... [2025-09-07 06:43:27.243188]
2025-09-07T06:43:27.2433030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:27.2436730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'lazy/test_step_closures.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:27.243559]
2025-09-07T06:43:28.8867760Z 
2025-09-07T06:43:28.8868480Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_bd0be29bb16e1151_.log
2025-09-07T06:43:28.8869170Z Running 0 items in this shard:
2025-09-07T06:43:28.8869340Z 
2025-09-07T06:43:28.8873410Z Running test_monitor 1/1 ... [2025-09-07 06:43:28.887262]
2025-09-07T06:43:28.8873980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:28.8877230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_monitor.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:28.887619]
2025-09-07T06:43:30.4820750Z 
2025-09-07T06:43:30.4821280Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_4dc2509812170097_.log
2025-09-07T06:43:30.4821750Z Running 0 items in this shard:
2025-09-07T06:43:30.4821890Z 
2025-09-07T06:43:30.4825170Z Running functorch/test_logging 1/1 ... [2025-09-07 06:43:30.482460]
2025-09-07T06:43:30.4825460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:30.4828360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'functorch/test_logging.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:30.482744]
2025-09-07T06:43:32.1337650Z 
2025-09-07T06:43:32.1338200Z functorch/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_logging_1.1_baa86550399f93a2_.log
2025-09-07T06:43:32.1338760Z Running 0 items in this shard:
2025-09-07T06:43:32.1338890Z 
2025-09-07T06:43:32.1342280Z Running test_stateless 1/1 ... [2025-09-07 06:43:32.134123]
2025-09-07T06:43:32.1342540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:32.1344950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_stateless.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:32.134398]
2025-09-07T06:43:33.8989690Z 
2025-09-07T06:43:33.8990320Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_60c5c36a0e32281f_.log
2025-09-07T06:43:33.8990850Z Running 0 items in this shard:
2025-09-07T06:43:33.8991000Z 
2025-09-07T06:43:33.8994990Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-09-07 06:43:33.899423]
2025-09-07T06:43:33.8995360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:33.8998430Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:33.899745]
2025-09-07T06:43:35.5538010Z 
2025-09-07T06:43:35.5538680Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_bb0ef2f81c7c7e4d_.log
2025-09-07T06:43:35.5539310Z Running 0 items in this shard:
2025-09-07T06:43:35.5539450Z 
2025-09-07T06:43:35.5542690Z Running test_weak 1/1 ... [2025-09-07 06:43:35.554210]
2025-09-07T06:43:35.5542950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:35.5546100Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_weak.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:35.554516]
2025-09-07T06:43:37.1636570Z 
2025-09-07T06:43:37.1637070Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_3c80252bdeb3816c_.log
2025-09-07T06:43:37.1637530Z Running 0 items in this shard:
2025-09-07T06:43:37.1637670Z 
2025-09-07T06:43:37.1641310Z Running inductor/test_mkldnn_pattern_matcher 1/1 ... [2025-09-07 06:43:37.164068]
2025-09-07T06:43:37.1641820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:37.1644670Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:37.164368]
2025-09-07T06:43:39.5947620Z 
2025-09-07T06:43:39.5948360Z inductor/test_mkldnn_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_ee84031fb8061ba8_.log
2025-09-07T06:43:39.5948870Z 
2025-09-07T06:43:39.5952080Z Running dynamo/test_optimizers 1/1 ... [2025-09-07 06:43:39.595129]
2025-09-07T06:43:39.5952380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:39.5955160Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_optimizers.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:39.595415]
2025-09-07T06:43:41.2852810Z 
2025-09-07T06:43:41.2853380Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_649ae5a824eca2ea_.log
2025-09-07T06:43:41.2853930Z Running 0 items in this shard:
2025-09-07T06:43:41.2854070Z 
2025-09-07T06:43:41.2857730Z Running test_content_store 1/1 ... [2025-09-07 06:43:41.285691]
2025-09-07T06:43:41.2858030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:41.2861070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_content_store.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:41.286005]
2025-09-07T06:43:43.1050130Z 
2025-09-07T06:43:43.1050800Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_b00ceb37dfdca160_.log
2025-09-07T06:43:43.1051420Z Running 0 items in this shard:
2025-09-07T06:43:43.1051580Z 
2025-09-07T06:43:43.1055680Z Running inductor/test_custom_lowering 1/1 ... [2025-09-07 06:43:43.105483]
2025-09-07T06:43:43.1058820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:43.1059840Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_custom_lowering.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:43.105839]
2025-09-07T06:43:45.5948070Z 
2025-09-07T06:43:45.5948720Z inductor/test_custom_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_lowering_1.1_5b1408ffd0eebf6b_.log
2025-09-07T06:43:45.5949370Z Running 0 items in this shard:
2025-09-07T06:43:45.5949510Z 
2025-09-07T06:43:45.5954110Z Running dynamo/test_profiler 1/1 ... [2025-09-07 06:43:45.595335]
2025-09-07T06:43:45.5954430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:45.5958330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:45.595726]
2025-09-07T06:43:47.3211710Z 
2025-09-07T06:43:47.3212320Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_2983f76264869da4_.log
2025-09-07T06:43:47.3212940Z Running 0 items in this shard:
2025-09-07T06:43:47.3213100Z 
2025-09-07T06:43:47.3217140Z Running optim/test_lrscheduler 1/1 ... [2025-09-07 06:43:47.321643]
2025-09-07T06:43:47.3217740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:47.3221080Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'optim/test_lrscheduler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:47.321993]
2025-09-07T06:43:48.8624060Z 
2025-09-07T06:43:48.8624680Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_21f555ee0be231b5_.log
2025-09-07T06:43:48.8625170Z 
2025-09-07T06:43:48.8628890Z Running inductor/test_config 1/1 ... [2025-09-07 06:43:48.862813]
2025-09-07T06:43:48.8629180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:48.8631740Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_config.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:48.863093]
2025-09-07T06:43:51.3540170Z 
2025-09-07T06:43:51.3540760Z inductor/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_config_1.1_4c972ed5881f71f0_.log
2025-09-07T06:43:51.3541370Z Running 0 items in this shard:
2025-09-07T06:43:51.3541510Z 
2025-09-07T06:43:51.3545250Z Running dynamo/test_sources 1/1 ... [2025-09-07 06:43:51.354459]
2025-09-07T06:43:51.3545720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:51.3548920Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_sources.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:51.354787]
2025-09-07T06:43:52.9458320Z 
2025-09-07T06:43:52.9458870Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_bec0cd08530a9d84_.log
2025-09-07T06:43:52.9459350Z Running 0 items in this shard:
2025-09-07T06:43:52.9459480Z 
2025-09-07T06:43:52.9462630Z Running dynamo/test_base_hop 1/1 ... [2025-09-07 06:43:52.946206]
2025-09-07T06:43:52.9463050Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:52.9465820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_base_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:52.946486]
2025-09-07T06:43:54.6687650Z 
2025-09-07T06:43:54.6688270Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_6a7d6669cbb9a59a_.log
2025-09-07T06:43:54.6688920Z Running 0 items in this shard:
2025-09-07T06:43:54.6689100Z 
2025-09-07T06:43:54.6692960Z Running export/test_nativert 1/1 ... [2025-09-07 06:43:54.669224]
2025-09-07T06:43:54.6693300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:54.6696930Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_nativert.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:54.669579]
2025-09-07T06:43:57.1598420Z 
2025-09-07T06:43:57.1598980Z export/test_nativert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_nativert_1.1_e6af9f29f1ed05b2_.log
2025-09-07T06:43:57.1599700Z Running 0 items in this shard:
2025-09-07T06:43:57.1599830Z 
2025-09-07T06:43:57.1602820Z Running dynamo/test_backends 1/1 ... [2025-09-07 06:43:57.160219]
2025-09-07T06:43:57.1603090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:57.1606150Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_backends.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:57.160511]
2025-09-07T06:43:59.6436110Z 
2025-09-07T06:43:59.6436680Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_a79e8ca84c2726d8_.log
2025-09-07T06:43:59.6437190Z Running 0 items in this shard:
2025-09-07T06:43:59.6437330Z 
2025-09-07T06:43:59.6440380Z Running dynamo/test_verify_correctness 1/1 ... [2025-09-07 06:43:59.643981]
2025-09-07T06:43:59.6440680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:43:59.6443540Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:43:59.644260]
2025-09-07T06:44:01.3574360Z 
2025-09-07T06:44:01.3574970Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_5b079912b614b9f2_.log
2025-09-07T06:44:01.3575620Z Running 0 items in this shard:
2025-09-07T06:44:01.3575770Z 
2025-09-07T06:44:01.3579270Z Running dynamo/test_python_dispatcher 1/1 ... [2025-09-07 06:44:01.357842]
2025-09-07T06:44:01.3579620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:01.3582810Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_python_dispatcher.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:01.358172]
2025-09-07T06:44:03.1970620Z 
2025-09-07T06:44:03.1971170Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_e77138d9da679c12_.log
2025-09-07T06:44:03.1971720Z Running 0 items in this shard:
2025-09-07T06:44:03.1972050Z 
2025-09-07T06:44:03.1975070Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-09-07 06:44:03.197449]
2025-09-07T06:44:03.1975370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:03.1978040Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:03.197724]
2025-09-07T06:44:04.7976050Z 
2025-09-07T06:44:04.7976730Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_bb3637271cef191d_.log
2025-09-07T06:44:04.7977340Z Running 0 items in this shard:
2025-09-07T06:44:04.7977480Z 
2025-09-07T06:44:04.7981180Z Running torch_np/test_indexing 1/1 ... [2025-09-07 06:44:04.798051]
2025-09-07T06:44:04.7981480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:04.7984870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/test_indexing.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:04.798387]
2025-09-07T06:44:06.3785490Z 
2025-09-07T06:44:06.3786080Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_9dfb9557f87ea580_.log
2025-09-07T06:44:06.3786590Z Running 0 items in this shard:
2025-09-07T06:44:06.3786730Z 
2025-09-07T06:44:06.3790240Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-09-07 06:44:06.378932]
2025-09-07T06:44:06.3790550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:06.3793190Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:06.379220]
2025-09-07T06:44:07.9802930Z 
2025-09-07T06:44:07.9803610Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_96b7459f966a44d3_.log
2025-09-07T06:44:07.9804250Z Running 0 items in this shard:
2025-09-07T06:44:07.9804400Z 
2025-09-07T06:44:07.9807800Z Running test_numba_integration 1/1 ... [2025-09-07 06:44:07.980708]
2025-09-07T06:44:07.9808130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:07.9811410Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_numba_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:07.981026]
2025-09-07T06:44:09.7573990Z 
2025-09-07T06:44:09.7574610Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_31a57fae2db5d84c_.log
2025-09-07T06:44:09.7575460Z Running 0 items in this shard:
2025-09-07T06:44:09.7575630Z 
2025-09-07T06:44:09.7579510Z Running dynamo/test_cudagraphs 1/1 ... [2025-09-07 06:44:09.757882]
2025-09-07T06:44:09.7579850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:09.7583400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:09.758230]
2025-09-07T06:44:11.3627020Z 
2025-09-07T06:44:11.3627610Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_5484ab8730420892_.log
2025-09-07T06:44:11.3628270Z 
2025-09-07T06:44:11.3631280Z Running dynamo/test_deviceguard 1/1 ... [2025-09-07 06:44:11.363056]
2025-09-07T06:44:11.3631580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:11.3634180Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_deviceguard.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:11.363335]
2025-09-07T06:44:13.1972990Z 
2025-09-07T06:44:13.1973520Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_e5d67495fc5c9b0c_.log
2025-09-07T06:44:13.1974030Z Running 0 items in this shard:
2025-09-07T06:44:13.1974160Z 
2025-09-07T06:44:13.1977380Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-09-07 06:44:13.197679]
2025-09-07T06:44:13.1977700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:13.1980530Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:13.197965]
2025-09-07T06:44:14.8557100Z 
2025-09-07T06:44:14.8557760Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_7f0569d238b0d130_.log
2025-09-07T06:44:14.8558580Z Running 0 items in this shard:
2025-09-07T06:44:14.8558720Z 
2025-09-07T06:44:14.8561510Z Running test_tensorboard 1/1 ... [2025-09-07 06:44:14.856093]
2025-09-07T06:44:14.8561770Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:14.8564790Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_tensorboard.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:14.856390]
2025-09-07T06:44:17.1710490Z 
2025-09-07T06:44:17.1711020Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_618b5feb37b514d8_.log
2025-09-07T06:44:17.1711520Z Running 0 items in this shard:
2025-09-07T06:44:17.1711640Z 
2025-09-07T06:44:17.1715110Z Running dynamo/test_higher_order_ops 1/1 ... [2025-09-07 06:44:17.171447]
2025-09-07T06:44:17.1715400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:17.1718110Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:17.171728]
2025-09-07T06:44:20.2019870Z 
2025-09-07T06:44:20.2020780Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_997087f11d9308d3_.log
2025-09-07T06:44:20.2021460Z Running 0 items in this shard:
2025-09-07T06:44:20.2021620Z 
2025-09-07T06:44:20.2025010Z Running dynamo/test_comptime 1/1 ... [2025-09-07 06:44:20.202424]
2025-09-07T06:44:20.2025360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:20.2028990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:20.202783]
2025-09-07T06:44:21.9125100Z 
2025-09-07T06:44:21.9125650Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_930f41b10c5b5359_.log
2025-09-07T06:44:21.9126340Z Running 0 items in this shard:
2025-09-07T06:44:21.9126480Z 
2025-09-07T06:44:21.9129550Z Running test_datapipe 1/1 ... [2025-09-07 06:44:21.912898]
2025-09-07T06:44:21.9129810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:21.9132850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_datapipe.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:21.913190]
2025-09-07T06:44:23.5568980Z 
2025-09-07T06:44:23.5569570Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_1f9c23b0bee3d8cb_.log
2025-09-07T06:44:23.5570140Z Running 0 items in this shard:
2025-09-07T06:44:23.5570290Z 
2025-09-07T06:44:23.5574860Z Running dynamo/test_debug_utils 1/1 ... [2025-09-07 06:44:23.557406]
2025-09-07T06:44:23.5575220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:23.5578720Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_debug_utils.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:23.557755]
2025-09-07T06:44:25.4285450Z 
2025-09-07T06:44:25.4286050Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_48391335073710e9_.log
2025-09-07T06:44:25.4286870Z Running 0 items in this shard:
2025-09-07T06:44:25.4287030Z 
2025-09-07T06:44:25.4290420Z Running test_out_dtype_op 1/1 ... [2025-09-07 06:44:25.428975]
2025-09-07T06:44:25.4290720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:25.4294020Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_out_dtype_op.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:25.429300]
2025-09-07T06:44:27.2666770Z 
2025-09-07T06:44:27.2667370Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_b64f7b697fe5636a_.log
2025-09-07T06:44:27.2667970Z Running 0 items in this shard:
2025-09-07T06:44:27.2668130Z 
2025-09-07T06:44:27.2672470Z Running functorch/test_eager_transforms 1/1 ... [2025-09-07 06:44:27.267167]
2025-09-07T06:44:27.2672860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:27.2676390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:27.267522]
2025-09-07T06:44:29.6929090Z 
2025-09-07T06:44:29.6929910Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_67d465868ff73303_.log
2025-09-07T06:44:29.6930480Z Running 0 items in this shard:
2025-09-07T06:44:29.6930620Z 
2025-09-07T06:44:29.6933880Z Running export/test_hop 1/1 ... [2025-09-07 06:44:29.693316]
2025-09-07T06:44:29.6934150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:29.6936910Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_hop.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:29.693597]
2025-09-07T06:44:31.9348630Z 
2025-09-07T06:44:31.9349220Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_77606d719fc19a27_.log
2025-09-07T06:44:31.9350060Z Running 0 items in this shard:
2025-09-07T06:44:31.9350210Z 
2025-09-07T06:44:31.9354080Z Running profiler/test_cpp_thread 1/1 ... [2025-09-07 06:44:31.935326]
2025-09-07T06:44:31.9354450Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:31.9358070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'profiler/test_cpp_thread.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:31.935683]
2025-09-07T06:44:39.1025790Z 
2025-09-07T06:44:39.1026520Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_3e978f6adb2eabf7_.log
2025-09-07T06:44:39.1027170Z Running 0 items in this shard:
2025-09-07T06:44:39.1027330Z 
2025-09-07T06:44:39.1031380Z Running inductor/test_auto_functionalize 1/1 ... [2025-09-07 06:44:39.103060]
2025-09-07T06:44:39.1031780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:39.1035020Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_auto_functionalize.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:39.103389]
2025-09-07T06:44:40.8136510Z 
2025-09-07T06:44:40.8137390Z inductor/test_auto_functionalize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_auto_functionalize_1.1_257f8e0ef78d524b_.log
2025-09-07T06:44:40.8138050Z Running 0 items in this shard:
2025-09-07T06:44:40.8138190Z 
2025-09-07T06:44:40.8141630Z Running torch_np/test_function_base 1/1 ... [2025-09-07 06:44:40.814089]
2025-09-07T06:44:40.8141970Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:40.8145280Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:40.814414]
2025-09-07T06:44:42.4509920Z 
2025-09-07T06:44:42.4510630Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_994fb086461312da_.log
2025-09-07T06:44:42.4511350Z Running 0 items in this shard:
2025-09-07T06:44:42.4511520Z 
2025-09-07T06:44:42.4515800Z Running cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 ... [2025-09-07 06:44:42.451485]
2025-09-07T06:44:42.4516360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:42.4519940Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:42.451856]
2025-09-07T06:44:44.2813470Z 
2025-09-07T06:44:44.2814510Z cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic_1.1_d78986852a3e2b94_.log
2025-09-07T06:44:44.2815550Z Running 0 items in this shard:
2025-09-07T06:44:44.2815720Z 
2025-09-07T06:44:44.2818530Z Running dynamo/test_aot_autograd 1/1 ... [2025-09-07 06:44:44.281778]
2025-09-07T06:44:44.2821960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:44.2823040Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:44.282150]
2025-09-07T06:44:45.9978990Z 
2025-09-07T06:44:45.9979600Z dynamo/test_aot_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_1.1_a31f88d9f6a1e1fa_.log
2025-09-07T06:44:45.9980160Z Running 0 items in this shard:
2025-09-07T06:44:45.9980300Z 
2025-09-07T06:44:45.9983780Z Running dynamo/test_graph_deduplication 1/1 ... [2025-09-07 06:44:45.998314]
2025-09-07T06:44:45.9984110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:45.9987310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:45.998626]
2025-09-07T06:44:47.6979110Z 
2025-09-07T06:44:47.6979710Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_706e776afc159085_.log
2025-09-07T06:44:47.6980320Z Running 0 items in this shard:
2025-09-07T06:44:47.6980440Z 
2025-09-07T06:44:47.6983880Z Running test_model_exports_to_core_aten 1/1 ... [2025-09-07 06:44:47.698322]
2025-09-07T06:44:47.6984350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:47.6987170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:47.698613]
2025-09-07T06:44:49.4088520Z 
2025-09-07T06:44:49.4089180Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_6b542c309f33933e_.log
2025-09-07T06:44:49.4089870Z Running 0 items in this shard:
2025-09-07T06:44:49.4090030Z 
2025-09-07T06:44:49.4093940Z Running test_itt 1/1 ... [2025-09-07 06:44:49.409334]
2025-09-07T06:44:49.4094250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:49.4097740Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_itt.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:49.409665]
2025-09-07T06:44:51.0104540Z 
2025-09-07T06:44:51.0105070Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_fc94562e3d105337_.log
2025-09-07T06:44:51.0105550Z Running 0 items in this shard:
2025-09-07T06:44:51.0105690Z 
2025-09-07T06:44:51.0109550Z Running test_modules 1/1 ... [2025-09-07 06:44:51.010882]
2025-09-07T06:44:51.0109820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:51.0113100Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_modules.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:51.011195]
2025-09-07T06:44:53.8733320Z 
2025-09-07T06:44:53.8733890Z test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.1_121cfbdcf734de70_.log
2025-09-07T06:44:53.8734360Z Running 0 items in this shard:
2025-09-07T06:44:53.8734480Z 
2025-09-07T06:44:53.8737880Z Running inductor/test_custom_partitioner_fn 1/1 ... [2025-09-07 06:44:53.873725]
2025-09-07T06:44:53.8738190Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:53.8741240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_custom_partitioner_fn.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:53.874025]
2025-09-07T06:44:56.2720620Z 
2025-09-07T06:44:56.2721300Z inductor/test_custom_partitioner_fn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_partitioner_fn_1.1_501a94f9388639f0_.log
2025-09-07T06:44:56.2721810Z 
2025-09-07T06:44:56.2725260Z Running test_decomp 4/5 ... [2025-09-07 06:44:56.272450]
2025-09-07T06:44:56.2725520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:56.2728640Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=4', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:56.272758]
2025-09-07T06:44:59.4697760Z 
2025-09-07T06:44:59.4698270Z test_decomp 4/5 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_4.5_5b8fb495f9c62b18_.log
2025-09-07T06:44:59.4698980Z Running 0 items in this shard:
2025-09-07T06:44:59.4699130Z 
2025-09-07T06:44:59.4702510Z Running test_decomp 5/5 ... [2025-09-07 06:44:59.470197]
2025-09-07T06:44:59.4702760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:44:59.4705510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_decomp.py', '-m', 'serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:44:59.470477]
2025-09-07T06:45:02.6794780Z 
2025-09-07T06:45:02.6795320Z test_decomp 5/5 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_5.5_38013a6330ba38ad_.log
2025-09-07T06:45:02.6795920Z Running 0 items in this shard:
2025-09-07T06:45:02.6796080Z 
2025-09-07T06:45:02.6800090Z Running optim/test_optim 1/1 ... [2025-09-07 06:45:02.679938]
2025-09-07T06:45:02.6800420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:02.6803950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'optim/test_optim.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:02.680281]
2025-09-07T06:45:04.1972190Z 
2025-09-07T06:45:04.1972730Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_aa8d81df0bcb6308_.log
2025-09-07T06:45:04.1973140Z 
2025-09-07T06:45:04.1976710Z Running test_jit_llga_fuser 1/1 ... [2025-09-07 06:45:04.197599]
2025-09-07T06:45:04.1976980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:04.1980000Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_jit_llga_fuser.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:04.197897]
2025-09-07T06:45:05.9680900Z 
2025-09-07T06:45:05.9681610Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_1088031d00a30ac7_.log
2025-09-07T06:45:05.9682100Z Running 0 items in this shard:
2025-09-07T06:45:05.9682230Z 
2025-09-07T06:45:05.9685370Z Running nn/test_module_hooks 1/1 ... [2025-09-07 06:45:05.968482]
2025-09-07T06:45:05.9685630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:05.9688490Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'nn/test_module_hooks.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:05.968765]
2025-09-07T06:45:07.7484490Z 
2025-09-07T06:45:07.7485070Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_3e0e7b1c3140c8ee_.log
2025-09-07T06:45:07.7485640Z Running 0 items in this shard:
2025-09-07T06:45:07.7485780Z 
2025-09-07T06:45:07.7489680Z Running test_view_ops 1/1 ... [2025-09-07 06:45:07.748895]
2025-09-07T06:45:07.7489980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:07.7493330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_view_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:07.749228]
2025-09-07T06:45:09.6189040Z 
2025-09-07T06:45:09.6189530Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_70580ebd55479eea_.log
2025-09-07T06:45:09.6190010Z Running 0 items in this shard:
2025-09-07T06:45:09.6190140Z 
2025-09-07T06:45:09.6193470Z Running test_xnnpack_integration 1/1 ... [2025-09-07 06:45:09.619288]
2025-09-07T06:45:09.6193750Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:09.6196510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:09.619559]
2025-09-07T06:45:11.2617130Z 
2025-09-07T06:45:11.2617960Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_568715a0a7ca4bf1_.log
2025-09-07T06:45:11.2618630Z Running 0 items in this shard:
2025-09-07T06:45:11.2618790Z 
2025-09-07T06:45:11.2622580Z Running test_mkldnn 1/1 ... [2025-09-07 06:45:11.262182]
2025-09-07T06:45:11.2622900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:11.2626480Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_mkldnn.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:11.262537]
2025-09-07T06:45:13.0195570Z 
2025-09-07T06:45:13.0196100Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_af4239af6f6171af_.log
2025-09-07T06:45:13.0196550Z Running 0 items in this shard:
2025-09-07T06:45:13.0196680Z 
2025-09-07T06:45:13.0200310Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-09-07 06:45:13.019943]
2025-09-07T06:45:13.0200630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:13.0203270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:13.020228]
2025-09-07T06:45:14.6148720Z 
2025-09-07T06:45:14.6149560Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_4ae136facb3f6438_.log
2025-09-07T06:45:14.6150150Z Running 0 items in this shard:
2025-09-07T06:45:14.6150280Z 
2025-09-07T06:45:14.6153430Z Running test_linalg 1/1 ... [2025-09-07 06:45:14.615282]
2025-09-07T06:45:14.6153680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:14.6156430Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_linalg.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:14.615566]
2025-09-07T06:45:16.7492330Z 
2025-09-07T06:45:16.7492840Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_4a7717246e580db6_.log
2025-09-07T06:45:16.7493910Z Running 4 items in this shard: test/test_linalg.py::TestLinalgCPU::test_svd_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_svd_cpu_float64
2025-09-07T06:45:16.7494610Z 
2025-09-07T06:45:16.7496760Z Running test_mkldnn_fusion 1/1 ... [2025-09-07 06:45:16.749620]
2025-09-07T06:45:16.7497030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:16.7499820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:16.749890]
2025-09-07T06:45:18.3434700Z 
2025-09-07T06:45:18.3435180Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_0229111ad39497f9_.log
2025-09-07T06:45:18.3438860Z Running 0 items in this shard:
2025-09-07T06:45:18.3438990Z 
2025-09-07T06:45:18.3439100Z Running test_sparse_csr 1/1 ... [2025-09-07 06:45:18.343833]
2025-09-07T06:45:18.3439520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:18.3442100Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_sparse_csr.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:18.344111]
2025-09-07T06:45:21.2719220Z 
2025-09-07T06:45:21.2719750Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_7c48e4804a648f58_.log
2025-09-07T06:45:21.2720270Z Running 0 items in this shard:
2025-09-07T06:45:21.2720400Z 
2025-09-07T06:45:21.2724020Z Running test_scatter_gather_ops 1/1 ... [2025-09-07 06:45:21.272335]
2025-09-07T06:45:21.2724310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:21.2727560Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_scatter_gather_ops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:21.272659]
2025-09-07T06:45:23.0557820Z 
2025-09-07T06:45:23.0558480Z test_scatter_gather_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scatter_gather_ops_1.1_f9c3b4d97a5a9c54_.log
2025-09-07T06:45:23.0559110Z Running 0 items in this shard:
2025-09-07T06:45:23.0559270Z 
2025-09-07T06:45:23.0563090Z Running dynamo/test_python_autograd 1/1 ... [2025-09-07 06:45:23.056243]
2025-09-07T06:45:23.0563470Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:23.0567380Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_python_autograd.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:23.056604]
2025-09-07T06:45:24.7712790Z 
2025-09-07T06:45:24.7713440Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_6eb1381f99a1c34d_.log
2025-09-07T06:45:24.7714100Z Running 0 items in this shard:
2025-09-07T06:45:24.7714260Z 
2025-09-07T06:45:24.7718310Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-09-07 06:45:24.771742]
2025-09-07T06:45:24.7721560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:24.7722620Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:24.772109]
2025-09-07T06:45:26.3937500Z 
2025-09-07T06:45:26.3938220Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_0dd0dc0c185960c3_.log
2025-09-07T06:45:26.3938950Z Running 0 items in this shard:
2025-09-07T06:45:26.3939090Z 
2025-09-07T06:45:26.3942550Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-09-07 06:45:26.394177]
2025-09-07T06:45:26.3942950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:26.3946250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:26.394517]
2025-09-07T06:45:27.9891730Z 
2025-09-07T06:45:27.9892390Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_4e1ec7ef302943ae_.log
2025-09-07T06:45:27.9893180Z Running 0 items in this shard:
2025-09-07T06:45:27.9893300Z 
2025-09-07T06:45:27.9896420Z Running profiler/test_memory_profiler 1/1 ... [2025-09-07 06:45:27.989578]
2025-09-07T06:45:27.9896710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:27.9899930Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:27.989885]
2025-09-07T06:45:29.7971780Z 
2025-09-07T06:45:29.7972390Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_94e69205cdbf8368_.log
2025-09-07T06:45:29.7972970Z Running 0 items in this shard:
2025-09-07T06:45:29.7973100Z 
2025-09-07T06:45:29.7976400Z Running test_unary_ufuncs 1/1 ... [2025-09-07 06:45:29.797584]
2025-09-07T06:45:29.7976660Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:29.7979580Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:29.797867]
2025-09-07T06:45:34.0734510Z 
2025-09-07T06:45:34.0735100Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_1cea4e978eecfa5d_.log
2025-09-07T06:45:34.0735670Z Running 0 items in this shard:
2025-09-07T06:45:34.0735810Z 
2025-09-07T06:45:34.0738890Z Running lazy/test_debug_util 1/1 ... [2025-09-07 06:45:34.073832]
2025-09-07T06:45:34.0739310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:34.0742150Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'lazy/test_debug_util.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:34.074118]
2025-09-07T06:45:35.6618280Z 
2025-09-07T06:45:35.6618910Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_e303d807c169139b_.log
2025-09-07T06:45:35.6619390Z Running 0 items in this shard:
2025-09-07T06:45:35.6619520Z 
2025-09-07T06:45:35.6623000Z Running nn/test_init 1/1 ... [2025-09-07 06:45:35.662243]
2025-09-07T06:45:35.6623510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:35.6626360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'nn/test_init.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:35.662549]
2025-09-07T06:45:37.6416350Z 
2025-09-07T06:45:37.6416890Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_88c20fd18f578fe3_.log
2025-09-07T06:45:37.6417450Z Running 0 items in this shard:
2025-09-07T06:45:37.6417600Z 
2025-09-07T06:45:37.6421960Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-09-07 06:45:37.642117]
2025-09-07T06:45:37.6422360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:37.6425870Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:37.642470]
2025-09-07T06:45:39.2883060Z 
2025-09-07T06:45:39.2883910Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_9630308751a0e3f5_.log
2025-09-07T06:45:39.2884990Z Running 0 items in this shard:
2025-09-07T06:45:39.2885160Z 
2025-09-07T06:45:39.2888820Z Running test_functional_autograd_benchmark 1/1 ... [2025-09-07 06:45:39.288795]
2025-09-07T06:45:39.2889250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:39.2893230Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:39.289178]
2025-09-07T06:45:40.8897660Z 
2025-09-07T06:45:40.8898310Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_3bdf27182572e09b_.log
2025-09-07T06:45:40.8898920Z Running 0 items in this shard:
2025-09-07T06:45:40.8899060Z 
2025-09-07T06:45:40.8902670Z Running test_function_schema 1/1 ... [2025-09-07 06:45:40.890199]
2025-09-07T06:45:40.8902960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:40.8906170Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_function_schema.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:40.890513]
2025-09-07T06:45:42.4714180Z 
2025-09-07T06:45:42.4714910Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_56d678815f343aa7_.log
2025-09-07T06:45:42.4715440Z Running 0 items in this shard:
2025-09-07T06:45:42.4715570Z 
2025-09-07T06:45:42.4719000Z Running test_type_promotion 1/1 ... [2025-09-07 06:45:42.471818]
2025-09-07T06:45:42.4719260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:42.4722200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_type_promotion.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:42.472123]
2025-09-07T06:45:44.2953510Z 
2025-09-07T06:45:44.2954220Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_b6485d5cd8824581_.log
2025-09-07T06:45:44.2954910Z Running 0 items in this shard:
2025-09-07T06:45:44.2955410Z 
2025-09-07T06:45:44.2959260Z Running torch_np/test_reductions 1/1 ... [2025-09-07 06:45:44.295848]
2025-09-07T06:45:44.2965140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:44.2966310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:44.296207]
2025-09-07T06:45:46.0131470Z 
2025-09-07T06:45:46.0132160Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_18485296494cb8a8_.log
2025-09-07T06:45:46.0132770Z Running 0 items in this shard:
2025-09-07T06:45:46.0132910Z 
2025-09-07T06:45:46.0136790Z Running test_dlpack 1/1 ... [2025-09-07 06:45:46.013612]
2025-09-07T06:45:46.0137090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:46.0140560Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_dlpack.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:46.013949]
2025-09-07T06:45:47.8518110Z 
2025-09-07T06:45:47.8518940Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_03efbd247625f7c4_.log
2025-09-07T06:45:47.8519540Z Running 0 items in this shard:
2025-09-07T06:45:47.8519710Z 
2025-09-07T06:45:47.8523860Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-09-07 06:45:47.852310]
2025-09-07T06:45:47.8524420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:47.8528120Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:47.852687]
2025-09-07T06:45:49.4630600Z 
2025-09-07T06:45:49.4631330Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_fb0b822ebfe8dddb_.log
2025-09-07T06:45:49.4631980Z Running 0 items in this shard:
2025-09-07T06:45:49.4632120Z 
2025-09-07T06:45:49.4635320Z Running profiler/test_profiler_tree 1/1 ... [2025-09-07 06:45:49.463471]
2025-09-07T06:45:49.4635640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:49.4638920Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:49.463788]
2025-09-07T06:45:51.0549910Z 
2025-09-07T06:45:51.0550520Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_b19a5a1a44525134_.log
2025-09-07T06:45:51.0551260Z Running 0 items in this shard:
2025-09-07T06:45:51.0554640Z 
2025-09-07T06:45:51.0554760Z Running test_prims 1/1 ... [2025-09-07 06:45:51.055415]
2025-09-07T06:45:51.0555030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:51.0558190Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_prims.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:51.055723]
2025-09-07T06:45:53.4129170Z 
2025-09-07T06:45:53.4129730Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_83183428a6fd18de_.log
2025-09-07T06:45:53.4130270Z Running 0 items in this shard:
2025-09-07T06:45:53.4130600Z 
2025-09-07T06:45:53.4134350Z Running test_jit_autocast 1/1 ... [2025-09-07 06:45:53.413366]
2025-09-07T06:45:53.4134700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:53.4138240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:53.413712]
2025-09-07T06:45:55.9515570Z 
2025-09-07T06:45:55.9516120Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_a42f3f2aecb9e33d_.log
2025-09-07T06:45:55.9516610Z Running 0 items in this shard:
2025-09-07T06:45:55.9516730Z 
2025-09-07T06:45:55.9520060Z Running profiler/test_torch_tidy 1/1 ... [2025-09-07 06:45:55.951944]
2025-09-07T06:45:55.9520360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:55.9523050Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:55.952227]
2025-09-07T06:45:57.5464840Z 
2025-09-07T06:45:57.5465430Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_937fc257e18e88ec_.log
2025-09-07T06:45:57.5466000Z Running 0 items in this shard:
2025-09-07T06:45:57.5466140Z 
2025-09-07T06:45:57.5469710Z Running profiler/test_python_tracer 1/1 ... [2025-09-07 06:45:57.546889]
2025-09-07T06:45:57.5470030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:57.5473010Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:57.547192]
2025-09-07T06:45:59.1307570Z 
2025-09-07T06:45:59.1308160Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_3cb682945e591bc4_.log
2025-09-07T06:45:59.1308730Z Running 0 items in this shard:
2025-09-07T06:45:59.1308860Z 
2025-09-07T06:45:59.1312210Z Running lazy/test_reuse_ir 1/1 ... [2025-09-07 06:45:59.131146]
2025-09-07T06:45:59.1312480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:45:59.1315570Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:45:59.131448]
2025-09-07T06:46:00.7103090Z 
2025-09-07T06:46:00.7103670Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_690ef8d2e9d56cee_.log
2025-09-07T06:46:00.7104150Z Running 0 items in this shard:
2025-09-07T06:46:00.7104550Z 
2025-09-07T06:46:00.7107640Z Running test_quantization 1/1 ... [2025-09-07 06:46:00.710688]
2025-09-07T06:46:00.7107920Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:46:00.7110610Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_quantization.py', '-m', 'serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:46:00.710973]
2025-09-07T06:46:03.6185820Z 
2025-09-07T06:46:03.6186360Z test_quantization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_quantization_1.1_5170ceb93bee5f58_.log
2025-09-07T06:46:03.6186910Z Running 0 items in this shard:
2025-09-07T06:46:03.6187320Z 
2025-09-07T06:46:05.7540580Z Running inductor/test_kernel_benchmark 1/1 ... [2025-09-07 06:46:05.753840]
2025-09-07T06:46:05.7541410Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:46:05.7541730Z Running inductor/test_cudagraph_trees 1/1 ... [2025-09-07 06:46:05.753897]
2025-09-07T06:46:05.7542030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:46:05.7542330Z Running inductor/test_compile_subprocess 1/2 ... [2025-09-07 06:46:05.753933]
2025-09-07T06:46:05.7542620Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:46:05.7543450Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_kernel_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:46:05.754118]
2025-09-07T06:46:05.7544930Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_cudagraph_trees.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:46:05.754143]
2025-09-07T06:46:05.7546450Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_compile_subprocess.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:46:05.754202]
2025-09-07T06:46:08.7626860Z 
2025-09-07T06:46:08.7628390Z inductor/test_cudagraph_trees 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudagraph_trees_1.1_72f2a91d7c09358a_.log
2025-09-07T06:46:08.7628890Z 
2025-09-07T06:46:08.7640230Z 
2025-09-07T06:46:08.7640880Z inductor/test_kernel_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_benchmark_1.1_3f690f319b6decca_.log
2025-09-07T06:46:08.7641370Z 
2025-09-07T06:46:11.2353150Z Running inductor/test_minifier 1/1 ... [2025-09-07 06:46:11.235107]
2025-09-07T06:46:11.2453080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:46:11.2556700Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_minifier.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:46:11.235714]
2025-09-07T06:46:11.2762730Z Running test_cuda_expandable_segments 1/1 ... [2025-09-07 06:46:11.272219]
2025-09-07T06:46:11.2862560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:46:11.2966300Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_cuda_expandable_segments.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:46:11.272464]
2025-09-07T06:46:14.1596450Z 
2025-09-07T06:46:14.1597560Z test_cuda_expandable_segments 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_cuda_expandable_segments_1.1_3138035bf1218fe1_.log
2025-09-07T06:46:14.1598050Z 
2025-09-07T06:46:14.3953330Z 
2025-09-07T06:46:14.4055220Z inductor/test_minifier 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_minifier_1.1_16ed256e4907a082_.log
2025-09-07T06:46:14.4154180Z 
2025-09-07T06:46:16.5494070Z Running inductor/test_torchinductor_dynamic_shapes 2/4 ... [2025-09-07 06:46:16.549194]
2025-09-07T06:46:16.5494430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:46:16.5495740Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'not serial', '--shard-id=2', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:46:16.549464]
2025-09-07T06:46:16.6530690Z Running inductor/test_torchinductor_dynamic_shapes 4/4 ... [2025-09-07 06:46:16.652909]
2025-09-07T06:46:16.6531070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:46:16.6532800Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_torchinductor_dynamic_shapes.py', '-m', 'not serial', '--shard-id=4', '--num-shards=4', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:46:16.653174]
2025-09-07T06:50:49.1919710Z 
2025-09-07T06:50:49.1921280Z inductor/test_compile_subprocess 1/2 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_compile_subprocess_1.2_62a9b4f4505e7db3_.log
2025-09-07T06:50:49.2028090Z Running 409 items in this shard: test/inductor/test_compile_subprocess.py::TestSubprocess::test_progressive, test/inductor/test_compile_subprocess.py::CpuTests::test_AllenaiLongformerBase_repro_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_adaptive_avg_pool1d_argmax_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_adaptive_avg_pool2d1_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_adaptive_avg_pool2d_low_prec_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_adaptive_avg_pool_with_output_size_0_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_adaptive_max_pool2d2_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_adaptive_max_pool2d3_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_add_complex5_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_add_complex7_cpu, test/inductor/test_compile_subprocess.py::CpuTests::test_add_complex9_cpu, 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2025-09-07T06:50:49.2119270Z 
2025-09-07T06:50:53.3808760Z Running export/test_torchbind 1/1 ... [2025-09-07 06:50:53.380723]
2025-09-07T06:50:53.3809080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:50:53.3811950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_torchbind.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:50:53.380976]
2025-09-07T06:50:56.8041340Z 
2025-09-07T06:50:56.8042930Z export/test_torchbind 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_torchbind_1.1_0bf61d6b47500df7_.log
2025-09-07T06:50:56.8067790Z Running 90 items in this shard: test/export/test_torchbind.py::TestExportTorchbind::test_aot_export_tensor_queue_operators, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_as_custom_op_argument_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_as_custom_op_argument_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_attribute_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_list_out_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_list_out_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_tuple_out_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_tuple_out_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_unbacked_symint_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_custom_obj_unbacked_symint_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_deepcopy, test/export/test_torchbind.py::TestExportTorchbind::test_export_inplace_custom_op, test/export/test_torchbind.py::TestExportTorchbind::test_identifying_torchbind_ops, test/export/test_torchbind.py::TestExportTorchbind::test_input_as_custom_op_argument_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_input_as_custom_op_argument_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_input_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_input_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_schema_checking_script_object, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_fakify_internal_states_make_fx_tracing_mode_fake, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_fakify_internal_states_make_fx_tracing_mode_symbolic, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_make_fx_tracing_mode_fake, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_methods_make_fx_tracing_mode_symbolic, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_operators_fallthrough_via_lib_impl, test/export/test_torchbind.py::TestExportTorchbind::test_make_fx_tensor_queue_operators_fallthrough_via_py_impl, test/export/test_torchbind.py::TestExportTorchbind::test_method_schema, test/export/test_torchbind.py::TestExportTorchbind::test_non_strict_export_methods, test/export/test_torchbind.py::TestExportTorchbind::test_none_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_none_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_safe_to_trace_with_real, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_alias_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_alias_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_input_and_alias_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_input_and_alias_pre_dispatch_True, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_op_fallthrough_keys_respects_lib_impl, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_op_register_fallthrough, test/export/test_torchbind.py::TestExportTorchbind::test_torchbind_register_attr_at_runtime_error, test/export/test_torchbind.py::TestExportTorchbind::test_unlift_custom_obj_pre_dispatch_False, test/export/test_torchbind.py::TestExportTorchbind::test_unlift_custom_obj_pre_dispatch_True, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_body_aliasing_contents_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_body_aliasing_contents_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_body_aliasing_contents_backend_inductor, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_input_aliasing_contents_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_input_aliasing_contents_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_input_aliasing_contents_backend_inductor, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_non_fakified_method_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_non_fakified_method_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_non_fakified_method_backend_inductor, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_missing_attr_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_missing_attr_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_setattr_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_error_on_script_obj_setattr_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_global_obj_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_global_obj_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_global_obj_backend_inductor, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_as_hop_input_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_as_hop_input_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_as_hop_input_backend_inductor, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_attributes_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_attributes_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_attributes_backend_inductor, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_closure_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_closure_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_closure_backend_inductor, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_graph_breaks, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_backend_inductor, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_with_autocast_device_cpu_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_with_autocast_device_cpu_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_with_autocast_device_cpu_backend_inductor, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_with_autocast_device_cuda_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_with_autocast_device_cuda_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_obj_torchbind_op_with_autocast_device_cuda_backend_inductor, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_automatic_dynamic_shape, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_backend_inductor, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_guards_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_guards_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_script_object_input_guards_backend_inductor, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_tensor_op_in_tensor_flatten_backend_aot_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_tensor_op_in_tensor_flatten_backend_eager, test/export/test_torchbind.py::TestCompileTorchbind::test_compile_tensor_op_in_tensor_flatten_backend_inductor, test/export/test_torchbind.py::TestCompileTorchbind::test_export_obj_torchbind_op_with_autocast_device_cpu, test/export/test_torchbind.py::TestCompileTorchbind::test_export_obj_torchbind_op_with_autocast_device_cuda, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_from_real_not_classmethod, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_no_from_real, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_no_torch_bind_class, test/export/test_torchbind.py::TestRegisterFakeClass::test_register_fake_class_valid
2025-09-07T06:50:56.8091300Z 
2025-09-07T06:50:58.8155540Z Running test_nestedtensor 1/2 ... [2025-09-07 06:50:58.815372]
2025-09-07T06:50:58.8156370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:50:58.8158530Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_nestedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:50:58.815651]
2025-09-07T06:53:52.7575960Z 
2025-09-07T06:53:52.7577580Z inductor/test_torchinductor_dynamic_shapes 4/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_4.4_36efc50f98d563a4_.log
2025-09-07T06:53:52.7733690Z Running 448 items in this shard: test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test__dyn_quant_pack_4bit_weight_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test__unsafe_masked_index_put_accumulate_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_abs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_adaptive_avg_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_adaptive_avg_pool_errors_with_long_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_adding_tensor_offsets_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_aoti_eager_override_registration_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_aoti_eager_support_out_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_arange3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_as_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_assert_size_stride_op_name_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d7_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d_backward3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_batch_norm_2d_2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bfloat16_to_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bitwise3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bmm1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_both_scalars_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_add_autotune_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int32_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int64_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_uint8_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_buffer_copied_in_graph_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_builtins_round_float_ndigits_pos_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_extern_kernel_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_unbacked_legacy_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cauchy_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_clamp_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_clamp_type_promotion_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_complex_from_real_imag_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_concat_add_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_config_option_dont_assume_alignment_cudagraphs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_const_int32_to_float_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv2d_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv_functional_bn_fuse_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv_inference_heuristics_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_convolution1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_convolution2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_convolution3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_convolution4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_copy_non_blocking_is_pinned_use_cat_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumprod_zero_dim_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_dynamic_shapes_cpu, 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test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dropout_trivial_0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dropout_trivial_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_bfloat16_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_bfloat16_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_bfloat16_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float16_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float32_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float32_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float32_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int16_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int32_int32_dynamic_shapes_cpu, 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test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_elu_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_empty2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_exact_stride_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_expand_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_expm1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fft_real_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fft_real_input_real_output_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fill1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_flip_cat_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_float16_to_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_float_repr_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fmod_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_forced_buffer_realize_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fractional_max_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_full_like_transposed_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fuse_large_params_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_generate_rand_fp8_dynamic_shapes_cpu, 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test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_indirect_load_broadcast_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inductor_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inf_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_add_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_where_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_input_mutation5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_insignificant_strides_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_isinf2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_kernel_names_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_broadcast_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_grid_use_block_ptr_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_strided_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_like_rands2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_linear1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_linear2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_linspace4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_list_clearing_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_low_memory_max_pool_dilation_1_dim_3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mark_dynamic_with_hint_override_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_masked_fill_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_matmul_layer_norm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mix_device_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mul_index_expr_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multi_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multilayer_any_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mutable_custom_op_fixed_layout2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nan_to_num_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_narrow_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_new_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_new_ones_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_no_op_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_no_specization_over_symbolic_value_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_output_strides_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pad_view_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_permute1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pixel_shuffle_channels_last_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_chebyshev_polynomial_u_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_expm1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_gammaln_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_i0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_i0e_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_i1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_i1e_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_psi_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_shifted_chebyshev_polynomial_v_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_spherical_bessel_j0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pow1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pow2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pow_by_natural_log2_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randint_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randint_int64_mod_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randn_generator_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reflection_pad2d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reflection_pad2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_relu_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remove_noop_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remove_noop_slice_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remove_noop_view_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_repeat_interleave_Tensor_decomp_int64_nd_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_roi_align_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_rsqrt_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_rsqrt_dynamic_shapes_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter6_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter_add3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter_bf16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scheduler_vertical_fusion1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sdpa_unaligned_mask_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_select_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_setitem_with_int_parameter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sigmoid_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_silu_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_simplify_loops_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sizehint_issue1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter_dtype_consistency_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_scatter_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_view_with_graph_break_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_softmax_one_kernel_loop_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_softmax_one_kernel_persist_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_cumsum_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_reduction_dynamic_shape_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum_int_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tensor_index_put_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tmp_not_defined_issue2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_to_memory_format_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_triu_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unfold_zero_dimension_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unroll_small_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_var_mean_tile_reduction_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_view_as_complex_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_view_as_real_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_views3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_weight_norm_bwd_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_where_with_logical_op_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_zero_element_mutation_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test__unsafe_masked_index_put_accumulate_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_adaptive_avg_pool2d1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_adaptive_avg_pool_with_output_size_0_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_adaptive_max_pool2d3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex10_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex6_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_aoti_eager_cache_hit_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_aoti_eager_with_persistent_cache_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_argmax_argmin_with_duplicates_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_argmax_argmin_with_nan_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_as_strided_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_as_strided_scatter_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_assert_alignment_op_name_fail_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool2d4_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool2d_backward2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool2d_backward4_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool3d_backward_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bitwise_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_both_scalars_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_add_autotune_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int16_int16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int32_int64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int64_int32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int8_int64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_uint8_int32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_nd_tiling_True_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_buffer_copied_in_graph_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cat_inplace_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_clone_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_complex_memory_overlap_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_concat_add_inplace_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_consecutive_split_cumprod_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_constant_pad_fill_dtype_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_conv2d_channels_last_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_conv_functional_bn_fuse_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_conv_inference_heuristics_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_copy_non_blocking_is_pinned_use_cat_False_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cummin_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cumprod_zero_dim_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cumsum_inf_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_op_1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_op_2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_op_3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dense_mask_index_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_diagonal_copy_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_div3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_div6_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dont_constant_fold_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout_trivial_0_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_bfloat16_float16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_bfloat16_int32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_bfloat16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_float64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_int8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float64_uint8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int16_bfloat16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int16_float16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int16_int16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int16_int32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int32_bfloat16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int32_float32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int32_int32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int64_bfloat16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int64_float16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int64_float64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int64_int64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int8_float32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int8_int64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int8_int8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_uint8_float16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_uint8_float64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_embedding_bag_byte_unpack_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_embedding_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_empty2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_erfc_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_erfinv_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_exact_stride_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_exp2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_exp_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fill1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fill2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_float32_to_int32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_float_repr_dynamic_shapes_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_floordiv_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fractional_max_pool2d1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fractional_max_pool2d2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fractional_max_pool2d3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_full_boolean_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_full_like_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_full_like_sliced_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_functionalize_rng_wrappers_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_gather1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_gather3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_getitem_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_graph_partition_constant_tensor1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_graph_partition_constant_tensor2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_graph_partition_scalar_inputs_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_grid_sampler_2d_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_propagation_abs_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_propagation_device_assert_masked_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_propagation_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_propagation_remainder_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_put2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_put4_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_put_deterministic_fallback_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_select_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_inplace_where_pointwise_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_input_mutation3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_input_mutation5_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_insignificant_strides_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_isinf2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_issue102546_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_kernel_names_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_kwargs_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_l1_loss_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_large_offset_pointwise_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_large_tensor_reduction_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_layer_norm_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_lerp_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_like_rands_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_linear2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_linear_float64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_log1p_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_log_softmax_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_logsumexp_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_low_memory_max_pool_dilation_2_dim_2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d4_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d6_dilation_1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d6_dilation_2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d7_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d_with_indices_backward_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_mixed_mm3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_mixed_mm_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_mm_views_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_move_arange_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_multi_device_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_multilayer_sum_low_prec_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_nan_sort_stable_False_descending_True_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_nan_sort_stable_True_descending_False_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_new_empty_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_nll_loss_backward_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_no_op_reduction_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_one_hot_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_philox_rand_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_chebyshev_polynomial_u_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_digamma_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_erf_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_gammaln_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_hermite_polynomial_h_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_i0_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_i0e_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_logit_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_modified_bessel_k0_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_scaled_modified_bessel_k1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_shifted_chebyshev_polynomial_t_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_shifted_chebyshev_polynomial_u_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_xlogy_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pow2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_randint_distribution_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_randn_generator_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_reduction3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_reduction5_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_reduction_config_limit_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_reflection_pad2d_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_remove_no_ops_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_remove_noop_copy_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_remove_noop_slice1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_remove_noop_slice_scatter_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_remove_noop_view_default_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_repeat_interleave_Tensor_decomp_int64_nd_2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_resize_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_reuse_buffers_with_aliasing_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_round_correctness_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_rsqrt_dynamic_shapes_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scalar_cpu_tensor_arg_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scalar_output_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scaled_dot_product_attention_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scatter6_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scatter_add1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_should_pad_bench_for_bmm_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_silu_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sin_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_slice_scatter3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_slice_scatter_reinplace_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_slice_view_with_graph_break_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_softmax_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_softmax_one_kernel_loop_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sort_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sort_stable_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_split_cumprod_low_prec_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_split_cumsum_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_split_cumsum_index_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_split_cumsum_low_prec_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_split_with_sizes_with_unbacked_symints_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_split_with_unbacked_symints_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_squeeze2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_stride_preservation_with_stride_modifying_fx_pass_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_strided_inputs_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sum2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sum_keepdims_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_tanh_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_to_dtype_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_transposed_propagates_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_triu_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_uint4x2_mixed_mm_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_unbacked_floordiv_simplify_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_unbacked_floordiv_simplify_errors_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_unspec_inputs_int8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_cat_conv_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_nearest2d_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_views3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_xblock_divides_xnumel_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_zeros_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_cat_unbacked_duplicate_size_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_float_item_inf_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_item_materialize_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_item_return_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_math_ops_op0_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_math_ops_op2_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_nonzero_no_realloc_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_nonzero_size_factory_nobreak_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_return_unbacked_view_split_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_slice_index_changing_sign_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_sym_stride_lowering_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_sym_sum_unbacked_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_unspecialized_float_fallback_specialization_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_unwrap_storage_didnt_work_repro_cpu
2025-09-07T06:53:52.7868180Z 
2025-09-07T06:53:54.8339550Z Running inductor/test_padding 1/1 ... [2025-09-07 06:53:54.833731]
2025-09-07T06:53:54.8340870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:53:54.8344350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_padding.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:53:54.834250]
2025-09-07T06:53:57.5946280Z 
2025-09-07T06:53:57.5947250Z inductor/test_padding 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_padding_1.1_2dcac0e22ad7fe11_.log
2025-09-07T06:53:59.7019910Z 
2025-09-07T06:53:59.7020720Z Running dynamo/test_subclasses 1/1 ... [2025-09-07 06:53:59.701864]
2025-09-07T06:53:59.7021490Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:53:59.7023580Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_subclasses.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:53:59.702157]
2025-09-07T06:54:28.4964540Z 
2025-09-07T06:54:28.4965940Z dynamo/test_subclasses 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_subclasses_1.1_95259b4374efa98d_.log
2025-09-07T06:54:28.4996980Z Running 125 items in this shard: test/dynamo/test_subclasses.py::SubclassTests::test_as_subclass_attr_mutation, test/dynamo/test_subclasses.py::SubclassTests::test_base_torch_function_tracing, test/dynamo/test_subclasses.py::SubclassTests::test_compile_higher_order_with_functionalization, test/dynamo/test_subclasses.py::SubclassTests::test_compile_with_fake_tensor_automatic_dynamic, test/dynamo/test_subclasses.py::SubclassTests::test_compile_with_fake_tensor_dynamic_dim, test/dynamo/test_subclasses.py::SubclassTests::test_compile_with_functionalization, test/dynamo/test_subclasses.py::SubclassTests::test_disable_all_torch_function, test/dynamo/test_subclasses.py::SubclassTests::test_disable_all_torch_function_restore_values, test/dynamo/test_subclasses.py::SubclassTests::test_disable_all_torch_function_restore_values_graph_break, test/dynamo/test_subclasses.py::SubclassTests::test_has_torch_function, test/dynamo/test_subclasses.py::SubclassTests::test_make_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_mark_static_with_subclass_desugaring_dynamic_False, test/dynamo/test_subclasses.py::SubclassTests::test_mark_static_with_subclass_desugaring_dynamic_True, test/dynamo/test_subclasses.py::SubclassTests::test_newly_constructed_tensor_subclass_attr_mutation, test/dynamo/test_subclasses.py::SubclassTests::test_njt_subclass_from_buffer, test/dynamo/test_subclasses.py::SubclassTests::test_njt_subclass_from_cat, test/dynamo/test_subclasses.py::SubclassTests::test_njt_subclass_simple, test/dynamo/test_subclasses.py::SubclassTests::test_no_call_to_new, test/dynamo/test_subclasses.py::SubclassTests::test_no_torch_function_on_size_bytecode, test/dynamo/test_subclasses.py::SubclassTests::test_no_torch_function_recompiles, test/dynamo/test_subclasses.py::SubclassTests::test_nontraceable_tensor_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_overridden_method_guarding, test/dynamo/test_subclasses.py::SubclassTests::test_parameter_subclass_custom_torch_func_and_dynamic_attr, test/dynamo/test_subclasses.py::SubclassTests::test_parameter_subclass_with_old_torch_function, test/dynamo/test_subclasses.py::SubclassTests::test_recompile_with_symbool_inputs, test/dynamo/test_subclasses.py::SubclassTests::test_recompiles_with_optional_inner_tensor, test/dynamo/test_subclasses.py::SubclassTests::test_return_as_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_return_local_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_return_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_TwoTensor_TwoTensor_TwoTensor, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_TwoTensor_nested_diff_sizes, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_constructor_proxying, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_dont_invoke_torch_function_on_overridden_attr, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_dont_invoke_torch_function_on_overridden_method, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_override_shape_and_to, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_views_dynamic_False, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_views_dynamic_True, test/dynamo/test_subclasses.py::SubclassTests::test_subclass_with_disabled_torch_function, test/dynamo/test_subclasses.py::SubclassTests::test_support_bases, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_automatic_dynamic_shapes, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_clone_view, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_different_shape, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_mark_dynamic_shapes, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_mul, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_nested, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_return_multiple, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_return_shape, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_return_tensor_and_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_simple, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_view, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_TwoTensor_view_mul, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_attr_codegen_tos, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_ctx_custom_guards_error_arg_num, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_ctx_custom_guards_error_not_classmethod, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_ctx_custom_guards_override, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_ctx_guards, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_ctx_recursive_guards, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_custom_attr, test/dynamo/test_subclasses.py::SubclassTests::test_tensor_subclass_with_non_classmethod_torch_function, test/dynamo/test_subclasses.py::SubclassTests::test_torch_dispatch_subclass_guard_recompile, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_call_on_attr, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_call_on_method, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_call_on_method_arg, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_list_args, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_state_graph_break, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_state_guards, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_state_nested, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_state_tracing, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_subclass_survives_into_aot_autograd, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_wrapper_class, test/dynamo/test_subclasses.py::SubclassTests::test_torch_function_wrapper_class_with_kwargs, test/dynamo/test_subclasses.py::SubclassTests::test_type_check_equality_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_type_check_equality_tensor, test/dynamo/test_subclasses.py::SubclassTests::test_type_check_identity_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_type_check_identity_tensor, test/dynamo/test_subclasses.py::SubclassTests::test_type_check_isinstance_subclass, test/dynamo/test_subclasses.py::SubclassTests::test_type_check_isinstance_tensor, test/dynamo/test_subclasses.py::SubclassTests::test_user_overridden_attr_unsupported, test/dynamo/test_subclasses.py::SubclassTests::test_user_overridden_method_unsupported, test/dynamo/test_subclasses.py::SubclassTests::test_user_overridden_property_unsupported, test/dynamo/test_subclasses.py::SubclassTests::test_wrapper_subclass_dynamo_attribute_access_on_intermediate, test/dynamo/test_subclasses.py::SubclassTests::test_wrapper_subclass_guards_on_inner_tensor, test/dynamo/test_subclasses.py::SubclassTests::test_wrapper_subclass_with_differently_sized_inner_tensor, test/dynamo/test_subclasses.py::SubclassTests::test_wrapper_subclass_with_same_sized_inner_tensor, test/dynamo/test_subclasses.py::TestNestedTensor::test_basic_autograd, test/dynamo/test_subclasses.py::TestNestedTensor::test_basic_autograd_inductor, test/dynamo/test_subclasses.py::TestNestedTensor::test_binary_does_not_recompile, test/dynamo/test_subclasses.py::TestNestedTensor::test_binary_recompiles, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_input, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_input_2, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_input_4, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_input_5, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_input_6, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_intermediate, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_intermediate_2, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_intermediate_3, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_intermediate_4, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_from_intermediate_5, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_mixed, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_mixed_2, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_construction_mixed_3, test/dynamo/test_subclasses.py::TestNestedTensor::test_in_graph_is_nested_call, test/dynamo/test_subclasses.py::TestNestedTensor::test_inference_tensor, test/dynamo/test_subclasses.py::TestNestedTensor::test_inline_nested_tensor_from_jagged, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_False_basic, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_False_leaf_False_False, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_False_leaf_False_True, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_False_leaf_True_False, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_False_leaf_True_True, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_False_obscure, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_True_basic, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_True_leaf_False_False, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_True_leaf_False_True, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_True_leaf_True_False, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_True_leaf_True_True, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_base_is_nt_True_obscure, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_dense_subclass_dense_subclass, test/dynamo/test_subclasses.py::TestNestedTensor::test_inputs_to_compiled_fn_are_views_nt_view_name_subclass_dense, test/dynamo/test_subclasses.py::TestNestedTensor::test_param_subclass_isinstance_input, test/dynamo/test_subclasses.py::TestNestedTensor::test_return_shape, test/dynamo/test_subclasses.py::TestNestedTensor::test_subclass_dense_subclass_dense_view, test/dynamo/test_subclasses.py::TestNestedTensor::test_subclass_gives_static_shapes_when_dynamic_false, test/dynamo/test_subclasses.py::TestNestedTensor::test_subclass_with_mutation_in_graph, test/dynamo/test_subclasses.py::TestNestedTensor::test_unary_does_not_recompile, test/dynamo/test_subclasses.py::TestNestedTensor::test_unbind
2025-09-07T06:54:28.5025740Z 
2025-09-07T06:54:30.6280380Z Running export/test_draft_export 1/1 ... [2025-09-07 06:54:30.627831]
2025-09-07T06:54:30.6281170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:54:30.6283300Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_draft_export.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:54:30.628113]
2025-09-07T06:54:32.9441780Z 
2025-09-07T06:54:32.9442950Z export/test_draft_export 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_draft_export_1.1_442e8884cd7853da_.log
2025-09-07T06:54:32.9449960Z Running 21 items in this shard: test/export/test_draft_export.py::TestDraftExport::test_complex_data_dependent_expr, test/export/test_draft_export.py::TestDraftExport::test_constantify_unbacked_symbol, test/export/test_draft_export.py::TestDraftExport::test_cuda_memory_usage, test/export/test_draft_export.py::TestDraftExport::test_data_dependent_failure, test/export/test_draft_export.py::TestDraftExport::test_dedup_data_dependent_failure, test/export/test_draft_export.py::TestDraftExport::test_fake_infer_dense_in_memory_check, test/export/test_draft_export.py::TestDraftExport::test_masked_linear, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_custom_op_basic, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_custom_op_multiple_profiles, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_custom_op_update_profile, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_guard, test/export/test_draft_export.py::TestDraftExport::test_missing_meta_kernel_impl, test/export/test_draft_export.py::TestDraftExport::test_offsets, test/export/test_draft_export.py::TestDraftExport::test_override_incorrectly_aliasing_kernel, test/export/test_draft_export.py::TestDraftExport::test_override_mismatched_fake_kernel_with_unbacked_symbols, test/export/test_draft_export.py::TestDraftExport::test_override_size_and_dtype_mismatched_fake_kernels, test/export/test_draft_export.py::TestDraftExport::test_shape_failure, test/export/test_draft_export.py::TestDraftExport::test_side_effect1, test/export/test_draft_export.py::TestDraftExport::test_side_effect_inps, test/export/test_draft_export.py::TestDraftExport::test_torchbind, test/export/test_draft_export.py::TestDraftExport::test_unbacked_div_mod_replacement
2025-09-07T06:54:32.9454690Z 
2025-09-07T06:54:35.0534030Z Running test_sparse 1/1 ... [2025-09-07 06:54:35.053213]
2025-09-07T06:54:35.0534730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:54:35.0537040Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_sparse.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:54:35.053503]
2025-09-07T06:56:22.2942040Z 
2025-09-07T06:56:22.2943530Z inductor/test_torchinductor_dynamic_shapes 2/4 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_torchinductor_dynamic_shapes_2.4_74d5419f3c4bb0a5_.log
2025-09-07T06:56:22.3088090Z Running 448 items in this shard: test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_adaptive_max_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_complex10_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_complex5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_add_complex6_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_allow_reuse_active_if_under_peak_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_aoti_eager_support_str_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_aoti_eager_with_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_arange1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_arange4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_argmax_argmin3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_as_strided_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_assert_alignment_op_name_fail_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_assert_alignment_op_name_pass_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_assert_size_stride_op_name_fail_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d6_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool2d_backward4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_avg_pool3d_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_baddbmm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bernoulli2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bool_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_computed_offsets_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_default_kwargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int32_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_int32_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_uint8_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_int_uint8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_nd_tiling_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_bucketize_nd_tiling_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_buffer_batch_norm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_builtins_round_float_ndigits_neg_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_single_empty_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cat_unbacked_empty_1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_check_stack_no_cycles_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_complex_fallback_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_computed_buffer_inlining_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_config_option_dont_assume_alignment_recompiles_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_constant_pad_2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_constant_pad_3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_constant_pad_nd_inplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv3d_channels_last_use_block_ptr_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv3d_channels_last_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_conv_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_copy_non_blocking_is_pinned_use_cat_False_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cos_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_inf_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_cumsum_no_mask_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_custom_op_fixed_layout_sequential_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_custom_op_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_custom_scan_op_multi_input_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_deterministic_codegen_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_div5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dropout2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dropout3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtype_mismatch_issue_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtype_sympy_expr_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_bfloat16_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_bfloat16_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_bfloat16_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float32_int8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_float64_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_fusion_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int16_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int32_bfloat16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int32_float32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int32_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_float16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int64_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int8_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_int8_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_uint8_float64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_dtypeview_uint8_int64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_embedding_sparse_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_empty1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_erfc_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_exp2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_expand_as_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_list_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_no_mutated_tensors_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fallback_mutable_op_with_return_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_flip_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fractional_max_pool2d5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_full_boolean_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_full_like_sliced_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_fuse_tiled_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gather3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_gather_scatter_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_generated_code_has_size_stride_assert_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_arange1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_both_scalars_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_constant_tensor2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_graph_partition_refcount_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_hardtanh_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_propagation_floordiv_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_propagation_remainder_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put_as_masked_fill_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put_failed_reinplace_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put_fallback1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_index_put_fallback2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inductor_layout_optimization_input_mutations_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inner_fn_str_and_stride_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_inplace_mixed_dtype_ops_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_input_mutation1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_input_mutation3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_int8_weight_only_quant_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_isin_tensor_scalar_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_isinf_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_kwargs_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_l1_loss_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_pointwise_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_large_tensor_reduction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_like_rands3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_linear_dynamic_maxautotune_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_linspace3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_log2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_log_fp64_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_long_tensor_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d6_dilation_1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d_with_indices_backward5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_max_pool2d_with_indices_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mean_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_min_max_reduction_nan_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_move_arange_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multi_gpu_recompile_on_index_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multilayer_prime_size_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_multilayer_sum_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_neg_max_uint8_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_new_empty_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nll_loss_backward_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_no_mega_fusion_during_lowering_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_nonzero_unbacked_refinement_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_norm_constant_overflow_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_one_hot_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pad_cast_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_airy_ai_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_bessel_y1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_chebyshev_polynomial_w_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_digamma_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_entr_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_erf_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_exp2_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_expit_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_gammaincc_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_ndtr_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_scaled_modified_bessel_k0_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_shifted_chebyshev_polynomial_t_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_pointwise_xlogy_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_prod_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randint_distribution_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_randint_kernel_count_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_reduction_config_limit_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_remove_noop_slice1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_repeat_as_strided_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_resize_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_roll_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scalar_cpu_tensor_arg_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_scatter3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_searchsorted_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_shape_padding_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_signbit_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_single_elem_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_slice_mutation3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_softmax_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sort_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sort_transpose_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_cumprod_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_cumprod_low_prec_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_reduction_with_int64_size_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_with_list_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_split_with_sizes_with_unbacked_symints_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_sum5_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tan_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tensor1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tensor3_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tensor_index_slice_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_tmp_not_defined_issue1_use_block_ptr_True_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_to_device_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_to_dtype_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_torch_device_split_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_transpose_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_triton_kernel_bool_param_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_uint4x2_mixed_mm_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unbacked_floordiv_simplify_errors_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unbind_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unsigned_constant_tensors_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_int16_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_unspec_inputs_int32_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_bicubic2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_bilinear2d_b_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_nearest1d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_nearest2d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_upsample_nearest3d_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_var_correction_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_var_mean_div_by_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_view_detach_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_views1_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_views4_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_views6_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesCpuTests::test_zeros_dynamic_shapes_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_AllenaiLongformerBase_repro_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test__dyn_quant_matmul_4bit_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_adaptive_max_pool2d2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex4_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex7_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex9_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_add_complex_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_addmv_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_allow_reuse_active_if_under_peak_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_any_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_aoti_eager_dtype_device_layout_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_arange2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_arange4_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_arange5_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_argmax_argmin1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_argmax_min_int32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_argmax_to_float_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool2d5_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool2d_backward_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool3d_backward2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_avg_pool3d_backward3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bitwise2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bitwise3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bmm2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_broadcast_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_default_kwargs_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int64_int16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int64_int64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int64_int8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int64_uint8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_int8_int16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_uint8_int16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_uint8_int64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_uint8_int8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_int_uint8_uint8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_bucketize_nd_tiling_False_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_builtins_round_float_ndigits_neg_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_builtins_round_int_ndigits_zero_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cat_extern_kernel_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cat_negative_dim_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cat_single_empty_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cat_uint8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cat_unbacked_2d_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cat_upcasting_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_chunk_recompiles_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_computed_buffer_inlining_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_config_option_dont_assume_alignment_cudagraphs_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_consecutive_split_cumsum_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_constant_pad_1d_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_constant_pad_2d_strides_nonpositive_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_constant_pad_nd_inplace_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_conv3d_channels_last_use_block_ptr_True_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_convolution1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_convolution3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_convolution4_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cos_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cumsum_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_cumsum_pattern_matcher_issue_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_op_fixed_layout_channels_last_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_op_fixed_layout_sequential_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_custom_scan_op_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_data_type_propogation_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_device_assert_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dist_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_div8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_div_softmax_symfloat_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dropout3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtype_sympy_expr_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_bfloat16_float64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_bfloat16_uint8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_int32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float16_int64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float32_bfloat16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float32_float16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float32_int16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float64_float16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float64_float64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float64_int32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_float64_int8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int16_float64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int16_int8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int32_int16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int64_float32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int64_int32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int64_int8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int64_uint8_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int8_float64_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_int8_int32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_dtypeview_uint8_bfloat16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_embedding_sparse_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_expand_as_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_expand_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_expm1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fallback_mutable_op_basic_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fallback_mutable_op_list_tensor_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_flip_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fmin_fmax_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_fuse_tiled_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_gelu_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_generated_code_has_alignment_assert_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_graph_partition_arange1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_graph_partition_mutation_real_name_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_graph_partition_pad_dynamic_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_graph_partition_unbacked_symint_as_output_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_hardsigmoid_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_hardtanh_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_dynamic_shapes_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_propagation_flip_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_put_as_masked_fill_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_index_put_reinplace_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_inductor_layout_optimization_input_mutations_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_inductor_triton_bucketize_respects_masking_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_inner_fn_str_and_stride_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_inplace_activations_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_inplace_add_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_inplace_mixed_dtype_ops_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_input_mutation2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_int8_weight_only_quant_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_int_input_dynamic_shapes_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_invalid_operand_issue1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_large_pointwise_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_like_rands3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_linspace4_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_list_clearing_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_low_memory_max_pool_dilation_1_dim_2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_low_memory_max_pool_dilation_2_dim_3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_masked_fill_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_masked_fill_promotion_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d5_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_max_pool2d_with_indices_backward4_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_min_max_reduction_nan_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_misaligned_address_issue1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_mul_softmax_symfloat_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_multi_gpu_device_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_multilayer_any_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_new_empty_strided_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_new_ones_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_output_strides_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pattern_matcher_multi_user_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_airy_ai_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_bessel_j0_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_bessel_y1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_chebyshev_polynomial_t_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_entr_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_erfcx_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_erfinv_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_exp2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_gammainc_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_log_ndtr_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_modified_bessel_i0_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_modified_bessel_k1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_ndtr_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_ndtri_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_shifted_chebyshev_polynomial_w_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pointwise_sinc_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_pow_by_natural_log2_dynamic_shapes_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_prod_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_randint_int64_mod_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_randint_kernel_count_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_reinterpret_dtypeview_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_relu_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_remainder_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_remove_noop_view_dtype_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_repeat_as_strided_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_repeat_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_repeat_interleave_Tensor_decomp_int32_nd_2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_resize_as_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_roll_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scatter1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scatter2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_scatter4_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sdpa_prefer_nd_tiling_False_use_block_ptr_True_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sdpa_prefer_nd_tiling_True_use_block_ptr_False_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sdpa_prefer_nd_tiling_True_use_block_ptr_True_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_select_scatter_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sgn_extremal_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_shape_prop_torch_ones_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sizehint_issue1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_slice1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_slice3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_slice_scatter2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_slice_scatter5_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_softmax_backward_data_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_softmax_one_kernel_persist_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sort_bool_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_split_with_list_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_squeeze1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_stack_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sum5_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sum_dtype_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_sum_int_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_tan_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_tensor1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_tensor2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_tensor3_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_tensor_index_put_slice_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_torch_device_split_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_unbind_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_unsigned_constant_tensors_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_unspec_inputs_float32_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_unspec_inputs_int16_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_bicubic2d_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_bilinear2d_b_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_nearest2d_backward_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_upsample_nearest3d_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_var_correction_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_var_mean_div_by_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_vdd_clamp_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_vectorized_ops_masked_var_novec_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_vertical_fusion1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_view_detach_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_views1_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_views2_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_views4_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_views5_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_views6_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_weight_norm_bwd_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_where_with_logical_op_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_zero_dim_reductions_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::DynamicShapesGPUTests::test_zero_element_mutation_dynamic_shapes_mps, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_adaptive_max_pool3d_with_indices_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_bool_mask_nobreak_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_dynamic_stride_nobreak_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_float_is_integer_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_floor_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_math_ops_op3_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_pad_dynamic_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_shape_as_constant_reciprocal_float_exp_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_sort_dynamic_shape_with_check_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_sub_constant_folding_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_unbacked_cat_backwards_save_data_dependent_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_unbacked_save_for_backwards_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_unspecialized_float_dynamic_cpu, test/inductor/test_torchinductor_dynamic_shapes.py::TestInductorDynamicCPU::test_unspecialized_float_fallback_symint_specialization_cpu
2025-09-07T06:56:22.3232960Z 
2025-09-07T06:56:24.3931170Z Running test_package 1/1 ... [2025-09-07 06:56:24.392926]
2025-09-07T06:56:24.3931900Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:56:24.3933950Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_package.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:56:24.393195]
2025-09-07T06:56:26.9946810Z 
2025-09-07T06:56:26.9947310Z test_package 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_package_1.1_885c3c5699bad961_.log
2025-09-07T06:56:26.9972750Z Running 137 items in this shard: test/test_package.py::TestAnalyze::test_trace_dependencies, test/test_package.py::TestDependencyAPI::test_allow_empty_with_error, test/test_package.py::TestDependencyAPI::test_broken_dependency, test/test_package.py::TestDependencyAPI::test_deny, test/test_package.py::TestDependencyAPI::test_deny_glob, test/test_package.py::TestDependencyAPI::test_extern, test/test_package.py::TestDependencyAPI::test_extern_glob, test/test_package.py::TestDependencyAPI::test_extern_glob_allow_empty, test/test_package.py::TestDependencyAPI::test_externing_c_extension, test/test_package.py::TestDependencyAPI::test_implicit_intern, test/test_package.py::TestDependencyAPI::test_intern_error, test/test_package.py::TestDependencyAPI::test_invalid_import, test/test_package.py::TestDependencyAPI::test_mock, test/test_package.py::TestDependencyAPI::test_mock_glob, test/test_package.py::TestDependencyAPI::test_mock_glob_allow_empty, test/test_package.py::TestDependencyAPI::test_pickle_mocked, test/test_package.py::TestDependencyAPI::test_pickle_mocked_all, test/test_package.py::TestDependencyAPI::test_repackage_mocked_module, test/test_package.py::TestDependencyHooks::test_extern_and_mock_hook, test/test_package.py::TestDependencyHooks::test_multiple_extern_hooks, test/test_package.py::TestDependencyHooks::test_multiple_mock_hooks, test/test_package.py::TestDependencyHooks::test_remove_hooks, test/test_package.py::TestDependencyHooks::test_single_hook, test/test_package.py::TestDiGraph::test_all_paths, test/test_package.py::TestDiGraph::test_contains, test/test_package.py::TestDiGraph::test_contains_non_hashable, test/test_package.py::TestDiGraph::test_edges, test/test_package.py::TestDiGraph::test_forward_closure, test/test_package.py::TestDiGraph::test_iter, test/test_package.py::TestDiGraph::test_node_attr_update, test/test_package.py::TestDiGraph::test_node_attrs, test/test_package.py::TestDiGraph::test_predecessor_not_in_graph, test/test_package.py::TestDiGraph::test_predecessors, test/test_package.py::TestDiGraph::test_successor_not_in_graph, test/test_package.py::TestDiGraph::test_successors, test/test_package.py::DirectoryReaderTest::test_importer_access, test/test_package.py::DirectoryReaderTest::test_loading_has_record, test/test_package.py::DirectoryReaderTest::test_loading_module, test/test_package.py::DirectoryReaderTest::test_loading_pickle, test/test_package.py::DirectoryReaderTest::test_package_resource_access, test/test_package.py::DirectoryReaderTest::test_resource_access_by_path, test/test_package.py::DirectoryReaderTest::test_resource_reader, test/test_package.py::DirectoryReaderTest::test_scriptobject_failure_message, test/test_package.py::TestGlobGroup::test_exclude, test/test_package.py::TestGlobGroup::test_exclude_from_all, test/test_package.py::TestGlobGroup::test_invalid_raw, test/test_package.py::TestGlobGroup::test_list_include_exclude, test/test_package.py::TestGlobGroup::test_one_star, test/test_package.py::TestGlobGroup::test_one_star_middle, test/test_package.py::TestGlobGroup::test_one_star_multiple_in_component, test/test_package.py::TestGlobGroup::test_one_star_partial, test/test_package.py::TestGlobGroup::test_one_star_partial_extension, test/test_package.py::TestGlobGroup::test_raw_two_star, test/test_package.py::TestGlobGroup::test_two_star, test/test_package.py::TestGlobGroup::test_two_star_end, test/test_package.py::TestGlobGroup::test_two_star_middle, test/test_package.py::TestGlobGroup::test_two_star_multiple, test/test_package.py::TestImporter::test_ordered_importer_basic, test/test_package.py::TestImporter::test_ordered_importer_whichmodule, test/test_package.py::TestImporter::test_package_importer_whichmodule_no_dunder_module, test/test_package.py::TestImporter::test_single_ordered_importer, test/test_package.py::TestImporter::test_sys_importer, test/test_package.py::TestImporter::test_sys_importer_roundtrip, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_fx_module, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_nn_module, test/test_package.py::TestLoadBCPackages::test_load_bc_packages_torchscript_module, test/test_package.py::TestMangling::test_demangle_base, test/test_package.py::TestMangling::test_demangler_multiple_manglers, test/test_package.py::TestMangling::test_is_mangled, test/test_package.py::TestMangling::test_mangle_empty_errors, test/test_package.py::TestMangling::test_mangle_prefix, test/test_package.py::TestMangling::test_mangler_is_consistent, test/test_package.py::TestMangling::test_package_mangler, test/test_package.py::TestMangling::test_roundtrip_mangling, test/test_package.py::TestMangling::test_unique_manglers, test/test_package.py::TestMangling::test_unique_module_names, test/test_package.py::TestMisc::test_dunder_package_present, test/test_package.py::TestMisc::test_dunder_package_works_from_package, test/test_package.py::TestMisc::test_exporter_content_lists, test/test_package.py::TestMisc::test_file_structure, test/test_package.py::TestMisc::test_file_structure_has_file, test/test_package.py::TestMisc::test_inspect_class, test/test_package.py::TestMisc::test_is_from_package, test/test_package.py::TestMisc::test_load_python_version_from_package, test/test_package.py::TestMisc::test_loaders_that_remap_files_work_ok, test/test_package.py::TestMisc::test_python_version, test/test_package.py::TestMisc::test_std_lib_sys_hackery_checks, test/test_package.py::ModelTest::test_model_save, test/test_package.py::ModelTest::test_resnet, test/test_package.py::ModelTest::test_script_resnet, test/test_package.py::TestPackageFX::test_package_fx_custom_tracer, test/test_package.py::TestPackageFX::test_package_fx_package, test/test_package.py::TestPackageFX::test_package_fx_simple, test/test_package.py::TestPackageFX::test_package_fx_with_imports, test/test_package.py::TestPackageFX::test_package_fx_wrap, test/test_package.py::TestPackageFX::test_package_gm_preserve_stack_trace, test/test_package.py::TestPackageFX::test_package_then_fx, test/test_package.py::TestPackageScript::test_different_package_interface, test/test_package.py::TestPackageScript::test_different_package_script_class, test/test_package.py::TestPackageScript::test_load_shared_scriptmodules, test/test_package.py::TestPackageScript::test_load_shared_tensors, test/test_package.py::TestPackageScript::test_load_shared_tensors_repackaged, test/test_package.py::TestPackageScript::test_mixing_packaged_and_inline_modules, test/test_package.py::TestPackageScript::test_mixing_packaged_and_inline_modules_shared_code, test/test_package.py::TestPackageScript::test_package_interface, test/test_package.py::TestPackageScript::test_package_script_class, test/test_package.py::TestPackageScript::test_package_script_class_referencing_self, test/test_package.py::TestPackageScript::test_save_eager_mods_sharing_scriptmodule, test/test_package.py::TestPackageScript::test_save_independent_scriptmodules, test/test_package.py::TestPackageScript::test_save_repeat_scriptmodules, test/test_package.py::TestPackageScript::test_save_scriptmodule, test/test_package.py::TestPackageScript::test_save_scriptmodule_file, test/test_package.py::TestPackageScript::test_save_scriptmodule_only_necessary_code, test/test_package.py::TestPackageScript::test_save_scriptmodule_with_submods, test/test_package.py::TestPackageScript::test_save_scriptmodules_in_container, test/test_package.py::TestPackageScript::test_save_scriptmodules_submod_redefinition, test/test_package.py::TestPackageScript::test_save_shared_tensors, test/test_package.py::TestPackageScript::test_saving_and_scripting_packaged_mod, test/test_package.py::TestPackageScript::test_scriptmodules_repeat_save, test/test_package.py::TestPackageScript::test_tensor_sharing_pickle, test/test_package.py::TestRepackage::test_repackage_import_indirectly_via_parent_module, test/test_package.py::TestResources::test_importer_access, test/test_package.py::TestResources::test_package_resource_access, test/test_package.py::TestResources::test_resource_access_by_path, test/test_package.py::TestResources::test_resource_reader, test/test_package.py::TestSaveLoad::test_bad_dunder_imports, test/test_package.py::TestSaveLoad::test_dunder_imports, test/test_package.py::TestSaveLoad::test_exporting_mismatched_code, test/test_package.py::TestSaveLoad::test_pickle, test/test_package.py::TestSaveLoad::test_pickle_long_name_with_protocol_4, test/test_package.py::TestSaveLoad::test_save_imported_module, test/test_package.py::TestSaveLoad::test_save_imported_module_using_package_importer, test/test_package.py::TestSaveLoad::test_save_load_fp8, test/test_package.py::TestSaveLoad::test_save_module, test/test_package.py::TestSaveLoad::test_save_module_binary, test/test_package.py::TestSaveLoad::test_saving_source, test/test_package.py::TestSaveLoad::test_saving_string
2025-09-07T06:56:26.9995920Z 
2025-09-07T06:56:29.0947000Z Running export/test_retraceability 1/1 ... [2025-09-07 06:56:29.094520]
2025-09-07T06:56:29.0947780Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:56:29.0949150Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_retraceability.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:56:29.094801]
2025-09-07T06:57:35.8053990Z 
2025-09-07T06:57:35.8054470Z test_sparse 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_1.1_4523ebe067157618_.log
2025-09-07T06:57:35.9025300Z Running 4706 items in this shard: test/test_sparse.py::TestSparseLegacyAndDeprecation::test_legacy_warnings, test/test_sparse.py::TestSparseOneOff::test_cuda_from_cpu, test/test_sparse.py::TestSparseOneOff::test_cuda_sparse_cpu_dense_add, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_add_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_fake_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseCSC_float64, test/test_sparse.py::TestSparseMeta::test_print_meta_SparseCSR_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseBSC_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseBSR_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseCOO_float64, test/test_sparse.py::TestSparseMeta::test_sum_meta_SparseCSC_float64, 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test/test_sparse.py::TestSparseMPS::test_contig_mps_complex64, test/test_sparse.py::TestSparseMPS::test_contig_mps_float32, test/test_sparse.py::TestSparseMPS::test_ctor_is_coalesced_with_gradcheck_mps_float64, test/test_sparse.py::TestSparseMPS::test_ctor_large_sizes_mps_float32, test/test_sparse.py::TestSparseMPS::test_ctor_size_checks_mps_complex64, test/test_sparse.py::TestSparseMPS::test_ctor_size_checks_mps_float32, test/test_sparse.py::TestSparseMPS::test_cuda_empty_mps, test/test_sparse.py::TestSparseMPS::test_div_by_sparse_error_mps, test/test_sparse.py::TestSparseMPS::test_div_rounding_mode_mps_float32, test/test_sparse.py::TestSparseMPS::test_div_rounding_mode_mps_float64, test/test_sparse.py::TestSparseMPS::test_dsmm_mps_float64, test/test_sparse.py::TestSparseMPS::test_dtypes_mps, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_False_mps_bfloat16, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_False_mps_bool, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_False_mps_complex128, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_False_mps_complex64, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_False_mps_float16, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_False_mps_float32, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_False_mps_float64, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_False_mps_int16, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_False_mps_int32, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_False_mps_int64, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_False_mps_int8, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_False_mps_uint8, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_True_mps_bfloat16, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_True_mps_bool, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_True_mps_complex128, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_True_mps_complex64, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_True_mps_float16, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_True_mps_float32, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_True_mps_float64, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_True_mps_int16, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_True_mps_int32, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_True_mps_int64, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_True_mps_int8, test/test_sparse.py::TestSparseMPS::test_empty_full_requires_grad_True_mps_uint8, test/test_sparse.py::TestSparseMPS::test_empty_like_mps_complex128, test/test_sparse.py::TestSparseMPS::test_empty_like_mps_float64, test/test_sparse.py::TestSparseMPS::test_factory_copy_mps, test/test_sparse.py::TestSparseMPS::test_factory_dense_dim_mps_complex64, test/test_sparse.py::TestSparseMPS::test_factory_dense_dim_mps_float32, test/test_sparse.py::TestSparseMPS::test_factory_device_type_inference_mps, test/test_sparse.py::TestSparseMPS::test_factory_empty_indices_mps, test/test_sparse.py::TestSparseMPS::test_factory_mps_complex128, test/test_sparse.py::TestSparseMPS::test_factory_mps_complex64, test/test_sparse.py::TestSparseMPS::test_factory_mps_float16, test/test_sparse.py::TestSparseMPS::test_factory_mps_float32, test/test_sparse.py::TestSparseMPS::test_factory_mps_float64, test/test_sparse.py::TestSparseMPS::test_factory_nnz_mps_complex64, test/test_sparse.py::TestSparseMPS::test_factory_nnz_mps_float32, test/test_sparse.py::TestSparseMPS::test_factory_nnz_zero_mps_complex64, test/test_sparse.py::TestSparseMPS::test_factory_nnz_zero_mps_float32, test/test_sparse.py::TestSparseMPS::test_factory_size_check_mps_complex64, test/test_sparse.py::TestSparseMPS::test_factory_size_check_mps_float32, test/test_sparse.py::TestSparseMPS::test_factory_type_inference_mps_complex128, test/test_sparse.py::TestSparseMPS::test_factory_type_inference_mps_complex64, test/test_sparse.py::TestSparseMPS::test_factory_type_inference_mps_float16, test/test_sparse.py::TestSparseMPS::test_factory_type_inference_mps_float32, test/test_sparse.py::TestSparseMPS::test_factory_type_inference_mps_float64, test/test_sparse.py::TestSparseMPS::test_factory_type_inference_mps_int64, test/test_sparse.py::TestSparseMPS::test_floor_divide_by_sparse_error_mps, test/test_sparse.py::TestSparseMPS::test_full_broadcast_to_mps_complex128, test/test_sparse.py::TestSparseMPS::test_full_broadcast_to_mps_float64, test/test_sparse.py::TestSparseMPS::test_hsmm_mps_float64, test/test_sparse.py::TestSparseMPS::test_index_select_empty_and_non_contiguous_index_mps_complex128, test/test_sparse.py::TestSparseMPS::test_index_select_empty_and_non_contiguous_index_mps_float64, test/test_sparse.py::TestSparseMPS::test_index_select_exhaustive_index_large_mps_complex128, test/test_sparse.py::TestSparseMPS::test_index_select_exhaustive_index_large_mps_float64, test/test_sparse.py::TestSparseMPS::test_index_select_exhaustive_index_small_mps_complex128, test/test_sparse.py::TestSparseMPS::test_index_select_exhaustive_index_small_mps_float64, test/test_sparse.py::TestSparseMPS::test_index_select_mps_complex128, test/test_sparse.py::TestSparseMPS::test_index_select_mps_float64, test/test_sparse.py::TestSparseMPS::test_index_select_parallelization_mps_complex128, test/test_sparse.py::TestSparseMPS::test_index_select_parallelization_mps_float64, test/test_sparse.py::TestSparseMPS::test_is_nonzero_mps, test/test_sparse.py::TestSparseMPS::test_is_sparse_mps, test/test_sparse.py::TestSparseMPS::test_isnan_mps, test/test_sparse.py::TestSparseMPS::test_legacy_new_device_mps, test/test_sparse.py::TestSparseMPS::test_legacy_new_mps, test/test_sparse.py::TestSparseMPS::test_log1p_mps_bfloat16, test/test_sparse.py::TestSparseMPS::test_log1p_mps_float16, test/test_sparse.py::TestSparseMPS::test_log1p_mps_float32, test/test_sparse.py::TestSparseMPS::test_log1p_mps_int16, test/test_sparse.py::TestSparseMPS::test_log1p_mps_int32, test/test_sparse.py::TestSparseMPS::test_log1p_mps_int64, test/test_sparse.py::TestSparseMPS::test_log1p_mps_int8, test/test_sparse.py::TestSparseMPS::test_log1p_mps_uint8, test/test_sparse.py::TestSparseMPS::test_log_softmax_zero_nnz_mps_float32, test/test_sparse.py::TestSparseMPS::test_log_softmax_zero_nnz_mps_float64, test/test_sparse.py::TestSparseMPS::test_mm_mps_complex128, test/test_sparse.py::TestSparseMPS::test_mm_mps_float64, test/test_sparse.py::TestSparseMPS::test_mv_mps_float64, test/test_sparse.py::TestSparseMPS::test_narrow_mps_complex128, test/test_sparse.py::TestSparseMPS::test_narrow_mps_float64, test/test_sparse.py::TestSparseMPS::test_neg_negative_mps_complex64, test/test_sparse.py::TestSparseMPS::test_neg_negative_mps_float32, test/test_sparse.py::TestSparseMPS::test_new_device_multi_gpu_mps, test/test_sparse.py::TestSparseMPS::test_new_device_single_gpu_mps, test/test_sparse.py::TestSparseMPS::test_new_mps_complex64, test/test_sparse.py::TestSparseMPS::test_new_mps_float32, test/test_sparse.py::TestSparseMPS::test_norm_mps_complex128, test/test_sparse.py::TestSparseMPS::test_norm_mps_float64, test/test_sparse.py::TestSparseMPS::test_permute_masked_mps_complex128, test/test_sparse.py::TestSparseMPS::test_permute_masked_mps_float64, test/test_sparse.py::TestSparseMPS::test_permute_sparse_mps_complex128, test/test_sparse.py::TestSparseMPS::test_permute_sparse_mps_float64, test/test_sparse.py::TestSparseMPS::test_pickle_mps_float64, test/test_sparse.py::TestSparseMPS::test_print_coalesced_mps_float32, test/test_sparse.py::TestSparseMPS::test_print_uncoalesced_mps_float32, test/test_sparse.py::TestSparseMPS::test_resize_as_mps, test/test_sparse.py::TestSparseMPS::test_resize_mps_complex64, test/test_sparse.py::TestSparseMPS::test_resize_mps_float32, test/test_sparse.py::TestSparseMPS::test_saddmm_mps_complex128, test/test_sparse.py::TestSparseMPS::test_saddmm_mps_float64, test/test_sparse.py::TestSparseMPS::test_same_gpu_mps, test/test_sparse.py::TestSparseMPS::test_scalar_mps_complex64, test/test_sparse.py::TestSparseMPS::test_scalar_mps_float32, test/test_sparse.py::TestSparseMPS::test_select_mps_complex64, test/test_sparse.py::TestSparseMPS::test_select_mps_float32, test/test_sparse.py::TestSparseMPS::test_select_no_type_promotion_mps_int16, test/test_sparse.py::TestSparseMPS::test_select_no_type_promotion_mps_int32, test/test_sparse.py::TestSparseMPS::test_select_no_type_promotion_mps_int64, test/test_sparse.py::TestSparseMPS::test_select_no_type_promotion_mps_int8, test/test_sparse.py::TestSparseMPS::test_select_no_type_promotion_mps_uint8, test/test_sparse.py::TestSparseMPS::test_shared_mps_complex64, test/test_sparse.py::TestSparseMPS::test_shared_mps_float32, test/test_sparse.py::TestSparseMPS::test_small_nnz_coalesced_mps, test/test_sparse.py::TestSparseMPS::test_softmax_mps_float64, test/test_sparse.py::TestSparseMPS::test_softmax_zero_nnz_mps_float32, test/test_sparse.py::TestSparseMPS::test_softmax_zero_nnz_mps_float64, test/test_sparse.py::TestSparseMPS::test_spadd_mps_float64, test/test_sparse.py::TestSparseMPS::test_sparse_add_coalesce_mps_bfloat16, test/test_sparse.py::TestSparseMPS::test_sparse_add_coalesce_mps_complex64, test/test_sparse.py::TestSparseMPS::test_sparse_add_coalesce_mps_float32, test/test_sparse.py::TestSparseMPS::test_sparse_add_out_bfloat16_mps_float32, test/test_sparse.py::TestSparseMPS::test_sparse_addmm_mps_bfloat16, test/test_sparse.py::TestSparseMPS::test_sparse_addmm_mps_complex128, test/test_sparse.py::TestSparseMPS::test_sparse_addmm_mps_float16, test/test_sparse.py::TestSparseMPS::test_sparse_addmm_mps_float64, test/test_sparse.py::TestSparseMPS::test_sparse_bool_mps_complex64, test/test_sparse.py::TestSparseMPS::test_sparse_bool_mps_float32, test/test_sparse.py::TestSparseMPS::test_sparse_broadcast_to_mps_complex128, test/test_sparse.py::TestSparseMPS::test_sparse_broadcast_to_mps_float64, test/test_sparse.py::TestSparseMPS::test_sparse_dense_mul_mps_bfloat16, test/test_sparse.py::TestSparseMPS::test_sparse_dense_mul_mps_bool, test/test_sparse.py::TestSparseMPS::test_sparse_dense_mul_mps_complex128, test/test_sparse.py::TestSparseMPS::test_sparse_dense_mul_mps_complex64, test/test_sparse.py::TestSparseMPS::test_sparse_dense_mul_mps_float16, test/test_sparse.py::TestSparseMPS::test_sparse_dense_mul_mps_float32, test/test_sparse.py::TestSparseMPS::test_sparse_dense_mul_mps_float64, test/test_sparse.py::TestSparseMPS::test_sparse_dense_mul_mps_int16, test/test_sparse.py::TestSparseMPS::test_sparse_dense_mul_mps_int32, test/test_sparse.py::TestSparseMPS::test_sparse_dense_mul_mps_int64, test/test_sparse.py::TestSparseMPS::test_sparse_dense_mul_mps_int8, test/test_sparse.py::TestSparseMPS::test_sparse_dense_mul_mps_uint8, test/test_sparse.py::TestSparseMPS::test_sparse_mask_backward_mps_complex128, test/test_sparse.py::TestSparseMPS::test_sparse_mask_backward_mps_float64, test/test_sparse.py::TestSparseMPS::test_sparse_mask_hybrid_mps_complex64, test/test_sparse.py::TestSparseMPS::test_sparse_mask_hybrid_mps_float32, test/test_sparse.py::TestSparseMPS::test_sparse_mask_mps_complex128, test/test_sparse.py::TestSparseMPS::test_sparse_mask_mps_float64, test/test_sparse.py::TestSparseMPS::test_sparse_matmul_mps_complex128, test/test_sparse.py::TestSparseMPS::test_sparse_matmul_mps_complex64, test/test_sparse.py::TestSparseMPS::test_sparse_matmul_mps_float32, test/test_sparse.py::TestSparseMPS::test_sparse_matmul_mps_float64, test/test_sparse.py::TestSparseMPS::test_sparse_mm_mps_float64, test/test_sparse.py::TestSparseMPS::test_sparse_mul_masked_mps_float64, test/test_sparse.py::TestSparseMPS::test_sparse_mul_sparse_mps_float64, test/test_sparse.py::TestSparseMPS::test_sparse_sparse_mul_mps_bfloat16, test/test_sparse.py::TestSparseMPS::test_sparse_sparse_mul_mps_complex128, test/test_sparse.py::TestSparseMPS::test_sparse_sparse_mul_mps_complex64, test/test_sparse.py::TestSparseMPS::test_sparse_sparse_mul_mps_float16, test/test_sparse.py::TestSparseMPS::test_sparse_sparse_mul_mps_float32, test/test_sparse.py::TestSparseMPS::test_sparse_sparse_mul_mps_float64, test/test_sparse.py::TestSparseMPS::test_sparse_sparse_mul_mps_int16, test/test_sparse.py::TestSparseMPS::test_sparse_sparse_mul_mps_int32, test/test_sparse.py::TestSparseMPS::test_sparse_sparse_mul_mps_int64, test/test_sparse.py::TestSparseMPS::test_sparse_sparse_mul_mps_int8, test/test_sparse.py::TestSparseMPS::test_sparse_sparse_mul_mps_uint8, test/test_sparse.py::TestSparseMPS::test_sparse_spdiags_mps_bool, test/test_sparse.py::TestSparseMPS::test_sparse_spdiags_mps_complex128, test/test_sparse.py::TestSparseMPS::test_sparse_spdiags_mps_complex64, test/test_sparse.py::TestSparseMPS::test_sparse_spdiags_mps_float32, test/test_sparse.py::TestSparseMPS::test_sparse_spdiags_mps_float64, test/test_sparse.py::TestSparseMPS::test_sparse_spdiags_mps_int16, test/test_sparse.py::TestSparseMPS::test_sparse_spdiags_mps_int32, test/test_sparse.py::TestSparseMPS::test_sparse_spdiags_mps_int64, test/test_sparse.py::TestSparseMPS::test_sparse_spdiags_mps_int8, test/test_sparse.py::TestSparseMPS::test_sparse_spdiags_mps_uint8, test/test_sparse.py::TestSparseMPS::test_sparse_sum_mps_float64, test/test_sparse.py::TestSparseMPS::test_sparse_to_numpy_mps, test/test_sparse.py::TestSparseMPS::test_sspaddmm_mps_complex128, test/test_sparse.py::TestSparseMPS::test_sspaddmm_mps_float64, test/test_sparse.py::TestSparseMPS::test_storage_not_null_mps, test/test_sparse.py::TestSparseMPS::test_sum_mps_bool, test/test_sparse.py::TestSparseMPS::test_sum_mps_complex128, test/test_sparse.py::TestSparseMPS::test_sum_mps_complex64, test/test_sparse.py::TestSparseMPS::test_sum_mps_float32, test/test_sparse.py::TestSparseMPS::test_sum_mps_float64, test/test_sparse.py::TestSparseMPS::test_sum_mps_int16, test/test_sparse.py::TestSparseMPS::test_sum_mps_int32, test/test_sparse.py::TestSparseMPS::test_sum_mps_int64, test/test_sparse.py::TestSparseMPS::test_sum_mps_int8, test/test_sparse.py::TestSparseMPS::test_sum_mps_uint8, test/test_sparse.py::TestSparseMPS::test_t_empty_mps_complex64, test/test_sparse.py::TestSparseMPS::test_t_empty_mps_float32, test/test_sparse.py::TestSparseMPS::test_to_dense_hybrid_masked_mps_complex128, test/test_sparse.py::TestSparseMPS::test_to_dense_hybrid_masked_mps_float64, test/test_sparse.py::TestSparseMPS::test_to_dense_hybrid_sparse_mps_complex128, test/test_sparse.py::TestSparseMPS::test_to_dense_hybrid_sparse_mps_float64, test/test_sparse.py::TestSparseMPS::test_to_dense_with_gradcheck_masked_mps_bfloat16, test/test_sparse.py::TestSparseMPS::test_to_dense_with_gradcheck_masked_mps_complex128, test/test_sparse.py::TestSparseMPS::test_to_dense_with_gradcheck_masked_mps_complex64, test/test_sparse.py::TestSparseMPS::test_to_dense_with_gradcheck_masked_mps_float16, test/test_sparse.py::TestSparseMPS::test_to_dense_with_gradcheck_masked_mps_float32, test/test_sparse.py::TestSparseMPS::test_to_dense_with_gradcheck_masked_mps_float64, test/test_sparse.py::TestSparseMPS::test_to_dense_with_gradcheck_sparse_mps_bfloat16, test/test_sparse.py::TestSparseMPS::test_to_dense_with_gradcheck_sparse_mps_complex128, test/test_sparse.py::TestSparseMPS::test_to_dense_with_gradcheck_sparse_mps_complex64, test/test_sparse.py::TestSparseMPS::test_to_dense_with_gradcheck_sparse_mps_float16, test/test_sparse.py::TestSparseMPS::test_to_dense_with_gradcheck_sparse_mps_float32, test/test_sparse.py::TestSparseMPS::test_to_dense_with_gradcheck_sparse_mps_float64, test/test_sparse.py::TestSparseMPS::test_to_sparse_mps_bfloat16, test/test_sparse.py::TestSparseMPS::test_to_sparse_mps_complex128, test/test_sparse.py::TestSparseMPS::test_to_sparse_mps_complex64, test/test_sparse.py::TestSparseMPS::test_to_sparse_mps_float16, test/test_sparse.py::TestSparseMPS::test_to_sparse_mps_float64, test/test_sparse.py::TestSparseMPS::test_to_sparse_mps_int32, test/test_sparse.py::TestSparseMPS::test_transpose_mps_complex64, test/test_sparse.py::TestSparseMPS::test_transpose_mps_float32, test/test_sparse.py::TestSparseMPS::test_unsqueeze_mps_complex128, test/test_sparse.py::TestSparseMPS::test_unsqueeze_mps_float64, test/test_sparse.py::TestSparseMPS::test_zeros_like_mps_complex128, test/test_sparse.py::TestSparseMPS::test_zeros_like_mps_float64, test/test_sparse.py::TestSparseMPS::test_zeros_mps_complex64, test/test_sparse.py::TestSparseMPS::test_zeros_mps_float32, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseBSC_masked_fast_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseBSC_masked_slow_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseBSC_nonmasked_fast_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseBSC_nonmasked_slow_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseBSR_masked_fast_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseBSR_masked_slow_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseBSR_nonmasked_fast_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseBSR_nonmasked_slow_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseCOO_masked_fast_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseCOO_masked_slow_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseCOO_nonmasked_fast_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseCOO_nonmasked_slow_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseCSC_masked_fast_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseCSC_masked_slow_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseCSC_nonmasked_fast_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseCSC_nonmasked_slow_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseCSR_masked_fast_cpu, test/test_sparse.py::TestSparseAnyCPU::test_as_sparse_gradcheck_SparseCSR_masked_slow_cpu, 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test/test_sparse.py::TestSparseAnyCPU::test_binary_operation_mul_SparseCSC_cpu_complex32, test/test_sparse.py::TestSparseAnyCPU::test_binary_operation_mul_SparseCSC_cpu_complex64, test/test_sparse.py::TestSparseAnyCPU::test_binary_operation_mul_SparseCSC_cpu_float16, test/test_sparse.py::TestSparseAnyCPU::test_binary_operation_mul_SparseCSC_cpu_float32, test/test_sparse.py::TestSparseAnyCPU::test_binary_operation_mul_SparseCSC_cpu_float64, test/test_sparse.py::TestSparseAnyCPU::test_binary_operation_mul_SparseCSC_cpu_int16, test/test_sparse.py::TestSparseAnyCPU::test_binary_operation_mul_SparseCSC_cpu_int32, test/test_sparse.py::TestSparseAnyCPU::test_binary_operation_mul_SparseCSC_cpu_int64, test/test_sparse.py::TestSparseAnyCPU::test_binary_operation_mul_SparseCSC_cpu_int8, test/test_sparse.py::TestSparseAnyCPU::test_binary_operation_mul_SparseCSC_cpu_uint8, test/test_sparse.py::TestSparseAnyCPU::test_binary_operation_mul_SparseCSR_cpu_bfloat16, 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test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_mm_SparseCSC_sparse_slow_cpu_complex128, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_mm_SparseCSC_sparse_slow_cpu_float64, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_mm_SparseCSR_masked_fast_cpu_complex128, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_mm_SparseCSR_masked_fast_cpu_float64, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_mm_SparseCSR_masked_slow_cpu_complex128, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_mm_SparseCSR_masked_slow_cpu_float64, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_mm_SparseCSR_sparse_fast_cpu_complex128, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_mm_SparseCSR_sparse_fast_cpu_float64, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_mm_SparseCSR_sparse_slow_cpu_complex128, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_mm_SparseCSR_sparse_slow_cpu_float64, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_to_dense_SparseBSC_int64_masked_cpu_complex128, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_to_dense_SparseBSC_int64_masked_cpu_float64, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_to_dense_SparseBSC_int64_sparse_cpu_complex128, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_to_dense_SparseBSC_int64_sparse_cpu_float64, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_to_dense_SparseBSR_int64_masked_cpu_complex128, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_to_dense_SparseBSR_int64_masked_cpu_float64, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_to_dense_SparseBSR_int64_sparse_cpu_complex128, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_to_dense_SparseBSR_int64_sparse_cpu_float64, test/test_sparse.py::TestSparseAnyCPU::test_gradcheck_to_dense_SparseCOO_int64_masked_cpu_complex128, 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2025-09-07T06:57:35.9970290Z 
2025-09-07T06:57:37.8806740Z Running export/test_export_strict 1/1 ... [2025-09-07 06:57:37.880476]
2025-09-07T06:57:37.8807940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:57:37.8810080Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_export_strict.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:57:37.880756]
2025-09-07T06:57:58.7120700Z 
2025-09-07T06:57:58.7121270Z test_nestedtensor 1/2 was successful, full logs can be found in artifacts with path test/test-reports/test_nestedtensor_1.2_7de7f63c53e397ea_.log
2025-09-07T06:57:58.7356270Z Running 783 items in this shard: test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_2d_nested_tensor_batch_size_2_max_seq_len_5_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_batch_size_2_max_seq_len_3_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_batch_size_4_max_seq_len_3_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_batch_size_4_max_seq_len_5_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_float_batch_size_2_max_seq_len_3_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_float_batch_size_2_max_seq_len_3_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_float_batch_size_4_max_seq_len_5_vocab_size_10, test/test_nestedtensor.py::TestNestedTensor::test_3d_nested_tensor_float_batch_size_4_max_seq_len_5_vocab_size_20, test/test_nestedtensor.py::TestNestedTensor::test_cat, test/test_nestedtensor.py::TestNestedTensor::test_copy_, test/test_nestedtensor.py::TestNestedTensor::test_is_contiguous, test/test_nestedtensor.py::TestNestedTensor::test_like_functions_randn_like, test/test_nestedtensor.py::TestNestedTensor::test_like_functions_zeros_like, test/test_nestedtensor.py::TestNestedTensor::test_nested_tensor, test/test_nestedtensor.py::TestNestedTensor::test_size_dim, test/test_nestedtensor.py::TestNestedTensor::test_unbind_3, test/test_nestedtensor.py::TestNestedTensor::test_unbind_4, test/test_nestedtensor.py::TestNestedInt::test_comparisons, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_binary_ops_with_scalar_ge_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_bmm_cpu_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_bmm_cuda_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_bmm_cuda_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_bmm_noncontiguous_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_contiguous_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_detach_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_detach_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_detach_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_device_checks_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_dropout_jagged_cpu_float32, 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test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_matmul_nt_with_broadcasted_t_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_matmul_nt_with_broadcasted_t_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_matmul_with_bmm_path_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_matmul_with_bmm_path_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_narrow_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_narrow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_narrow_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_add_in_place_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_add_in_place_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_add_transpose_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_chunk_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_128_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_128_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_256_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_384_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_dense_elementwise_embedding_dim_8_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_div_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_nested_tensor_indexing_cpu_float16, 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test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_padded_tensor_zero_numel_errors_cpu_float16, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_to_then_from_padded_tensor_no_transform0213_cpu_float32, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_transpose_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_transpose_inference_mode_interaction_cpu_float64, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_abs__cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_abs_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_cos_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_gelu__cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_isposinf_cpu, test/test_nestedtensor.py::TestNestedTensorDeviceTypeCPU::test_unary_funcs_relu_cpu, 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test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_jagged_requires_grad_True_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_False_contiguous_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_False_contiguous_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_False_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_True_contiguous_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_as_nested_tensor_from_tensor_dim_4_layout_strided_requires_grad_True_contiguous_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_autograd_function_with_None_grad_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_binary_pointwise_broadcasting_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_binary_pointwise_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_binary_pointwise_with_nested_int_second_arg_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_compile_padded_dense_conversion_preserves_metadata_cache_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_compile_preserves_metadata_cache_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_compile_with_dynamic_max_seq_len_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_compile_with_dynamic_min_seq_len_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_composite_op_with_custom_mode_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_construction_from_list_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_device_dtype_transfer_updates_offsets_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_dummy_mha_with_nt_use_legacy_api_False_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_dummy_mha_with_nt_use_legacy_api_True_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_flatten_decomp_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_flex_attention_noncontig_with_holes_False_cross_attention_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_flex_attention_noncontig_with_holes_True_cross_attention_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_flex_attention_noncontig_with_holes_True_cross_attention_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_index_put_error_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_is_contiguous_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_as_nested_tensor_components_require_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_as_nested_tensor_components_require_grad_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_as_nested_tensor_components_require_grad_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_nested_tensor_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_nested_tensor_requires_grad_False_components_require_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_layout_construction_nested_tensor_requires_grad_True_components_require_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_mean_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_mean_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_sum_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_op_different_output_shape_dim_sum_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_padded_dense_conversion_kernels_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_view_from_values_offsets_requires_grad_True_values_is_view_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_view_from_values_offsets_requires_grad_True_values_is_view_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_view_from_values_offsets_requires_grad_True_values_is_view_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_jagged_view_from_values_offsets_requires_grad_True_values_is_view_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_operate_on_batch_dim_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_operate_on_batch_dim_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_reduce_ragged_idx_1_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_reduce_ragged_idx_1_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layer_norm_with_lengths_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_layout_under_torch_dispatch_mode_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_like_value_rand_like_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_linear_nt_dim_3_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_linear_nt_dim_4_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_linear_nt_dim_5_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_narrow_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_nested_tensor_activation_checkpoint_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_nested_tensor_from_jagged_fx_trace_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_nested_tensor_from_jagged_pass_min_max_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_nested_tensor_from_jagged_pass_min_max_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_noncontiguous_pointwise_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_noncontiguous_to_noncontig_with_holes_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_noncontiguous_to_noncontig_with_holes_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_sum_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_batch_only_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_1_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_1_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_1_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_1_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_mean_transpose_offset_2_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_1_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_1_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_reduce_ragged_idx_greater_than_1_different_output_shape_sum_transpose_offset_2_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_mean_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_transpose_non_ragged_dim_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_mean_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_op_dim_with_lengths_different_output_shape_sum_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_permute_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_autocast_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_backwards_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_compile_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_flop_counter_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_with_constant_sequence_length_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_with_constant_sequence_length_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_with_packed_in_proj_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sdpa_with_packed_in_proj_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_1_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_1_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_1_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_1_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_2_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_reduce_ragged_idx_greater_than_1_same_output_shape_transpose_offset_2_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_requires_grad_False_components_require_grad_False_log_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_requires_grad_True_components_require_grad_False_log_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_requires_grad_True_components_require_grad_False_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_requires_grad_True_components_require_grad_True_log_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_with_lengths_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_dim_with_lengths_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_reduce_batch_dim_requires_grad_False_components_require_grad_False_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_reduce_batch_dim_requires_grad_False_components_require_grad_True_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_reduce_batch_dim_requires_grad_True_components_require_grad_False_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_reduce_batch_dim_requires_grad_True_components_require_grad_True_log_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_softmax_reduce_batch_dim_requires_grad_True_components_require_grad_True_softmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_specialize_dynamic_shape_recompile_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_squeeze_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_True_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_batch_and_non_batch_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_False_requires_grad_False_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_False_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_False_requires_grad_True_components_require_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_False_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_True_requires_grad_False_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_sum_dim_reduce_ragged_and_non_batch_keepdim_True_requires_grad_True_components_require_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_dtype_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_2_requires_grad_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_2_requires_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_2_requires_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_2_requires_grad_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_3_requires_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_3_requires_grad_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_3_requires_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_4_requires_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_4_requires_grad_False_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_4_requires_grad_False_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_4_requires_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_compile_nt_dim_4_requires_grad_True_cpu_float32, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_False_cpu_bool, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_True_cpu_bool, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_2_requires_grad_True_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_3_requires_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_3_requires_grad_True_cpu_bool, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_3_requires_grad_True_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_to_padded_tensor_nt_dim_4_requires_grad_False_cpu_float16, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unary_pointwise_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_backward_cpu_float64, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_lengths_ragged_idx_0_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_transpose_ragged_idx_3_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_unbind_transpose_ragged_idx_last_dim_cpu, test/test_nestedtensor.py::TestNestedTensorSubclassCPU::test_view_ragged_idx_not_one_cpu, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward___radd___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward___rdiv___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward___rmod___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward___rmul___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward___rpow___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_add_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_amax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_amin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_angle_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_asin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_atan_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_bfloat16_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_ceil_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_cfloat_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_chalf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_clamp_max_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_clamp_min_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_complex_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_conj_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_copysign_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_div_no_rounding_mode_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_erf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_erfc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_erfinv_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_exp2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_fill_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_float_power_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_fmax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_frac_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_half_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_i0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_linalg_vector_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_log10_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_log2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_logaddexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_masked_prod_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_masked_std_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_masked_sum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_masked_var_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_max_reduction_with_dim_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_min_binary_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_minimum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_mul_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_narrow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_celu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_hardtanh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_linear_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_logsigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_prelu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_relu6_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_relu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_softplus_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_softshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_tanhshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_nn_functional_threshold_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_polygamma_polygamma_n_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_polygamma_polygamma_n_1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_polygamma_polygamma_n_2_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_polygamma_polygamma_n_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_polygamma_polygamma_n_4_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_positive_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_rad2deg_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_real_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_reciprocal_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_remainder_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_round_decimals_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_round_decimals_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_rsqrt_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_sgn_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_sigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_sin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_erfcx_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_i1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_i1e_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_ndtr_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_ndtri_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_special_xlog1py_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_square_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_squeeze_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_std_unbiased_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_sum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_tan_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_where_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_backward_xlogy_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward___rmod___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward___rpow___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward___rsub___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_abs_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_acos_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_add_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_amax_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_angle_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_asin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_atan_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_bfloat16_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_bmm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_ceil_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_chalf_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_clamp_max_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_clamp_min_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_clone_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_complex_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_conj_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_cosh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_digamma_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_div_no_rounding_mode_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_div_trunc_rounding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_erfinv_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_frac_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_hypot_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_i0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_ldexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_lgamma_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_amin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_logsumexp_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_mean_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_prod_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_select_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_std_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_sum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_masked_var_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_max_binary_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_max_reduction_with_dim_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_maximum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_min_binary_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_min_reduction_with_dim_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_minimum_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_mul_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nanmean_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_narrow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_neg_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_embedding_bag_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_embedding_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_hardshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_mish_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_prelu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_rms_norm_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_rrelu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_selu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_silu_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_tanhshrink_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_nn_functional_threshold_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_polar_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_polygamma_polygamma_n_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_polygamma_polygamma_n_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_pow_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_prod_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_reciprocal_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_round_decimals_3_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_select_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sigmoid_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sin_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_i1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_log_ndtr_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_special_xlog1py_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_split_with_sizes_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sqrt_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_squeeze_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_std_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_sub_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_tan_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_tanh_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_true_divide_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_where_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_backward_xlogy_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward___rmod___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward___rmul___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward___rpow___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward___rsub___cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_compile_forward_abs_cpu_float32, 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test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_modified_bessel_k1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_polygamma_special_polygamma_n_0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_scaled_modified_bessel_k0_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_special_scaled_modified_bessel_k1_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_split_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_sqrt_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_std_unbiased_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_sub_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_tan_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_to_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_true_divide_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_trunc_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_unflatten_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_unsqueeze_cpu_float32, test/test_nestedtensor.py::TestNestedTensorOpInfoCPU::test_forward_xlogy_cpu_float32
2025-09-07T06:57:58.7579630Z 
2025-09-07T06:58:00.8331950Z Running inductor/test_triton_extension_backend 1/1 ... [2025-09-07 06:58:00.832963]
2025-09-07T06:58:00.8332840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:58:00.8335070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_triton_extension_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:58:00.833255]
2025-09-07T06:58:03.6669740Z 
2025-09-07T06:58:03.6670730Z inductor/test_triton_extension_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_extension_backend_1.1_92d0b8e35256f9f5_.log
2025-09-07T06:58:03.6671280Z 
2025-09-07T06:58:05.6141060Z Running test_autoload 1/1 ... [2025-09-07 06:58:05.613885]
2025-09-07T06:58:05.6141380Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:58:05.6146000Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_autoload.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:58:05.614451]
2025-09-07T06:58:07.7103550Z 
2025-09-07T06:58:07.7104350Z test_autoload 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_autoload_1.1_4bbc449f91744edb_.log
2025-09-07T06:58:07.7106290Z Running 1 items in this shard: test/test_autoload.py::TestDeviceBackendAutoload::test_autoload
2025-09-07T06:58:07.7106600Z 
2025-09-07T06:58:09.7746700Z Running dynamo/test_deque_reconstruct 1/1 ... [2025-09-07 06:58:09.774452]
2025-09-07T06:58:09.7747560Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:58:09.7749740Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_deque_reconstruct.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:58:09.774776]
2025-09-07T06:58:11.9618190Z 
2025-09-07T06:58:11.9618820Z dynamo/test_deque_reconstruct 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deque_reconstruct_1.1_47b4f50ead69d8c9_.log
2025-09-07T06:58:11.9621050Z Running 3 items in this shard: test/dynamo/test_deque_reconstruct.py::TestDequeReconstruct::test_deque_reconstruct_in_globals, test/dynamo/test_deque_reconstruct.py::TestDequeReconstruct::test_deque_reconstruct_not_in_globals, test/dynamo/test_deque_reconstruct.py::TestDequeReconstruct::test_deque_reconstruct_shallows_globals
2025-09-07T06:58:11.9621950Z 
2025-09-07T06:58:13.9244950Z Running test_utils_config_module 1/1 ... [2025-09-07 06:58:13.924322]
2025-09-07T06:58:13.9245280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:58:13.9246820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_utils_config_module.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:58:13.924581]
2025-09-07T06:58:15.9630170Z 
2025-09-07T06:58:15.9631190Z test_utils_config_module 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_utils_config_module_1.1_2a126d43f26e86c3_.log
2025-09-07T06:58:15.9637020Z Running 22 items in this shard: test/test_utils_config_module.py::TestConfigModule::test_alias, test/test_utils_config_module.py::TestConfigModule::test_bad_jk_type, test/test_utils_config_module.py::TestConfigModule::test_base_value_loading, test/test_utils_config_module.py::TestConfigModule::test_codegen_config, test/test_utils_config_module.py::TestConfigModule::test_codegen_config_function, test/test_utils_config_module.py::TestConfigModule::test_dict_copy_semantics, test/test_utils_config_module.py::TestConfigModule::test_env_name_semantics, test/test_utils_config_module.py::TestConfigModule::test_env_name_string_semantics, test/test_utils_config_module.py::TestConfigModule::test_get_hash, test/test_utils_config_module.py::TestConfigModule::test_invalid_config_float, test/test_utils_config_module.py::TestConfigModule::test_invalid_config_int, test/test_utils_config_module.py::TestConfigModule::test_make_closur_patcher, test/test_utils_config_module.py::TestConfigModule::test_multi_env, test/test_utils_config_module.py::TestConfigModule::test_none_override_semantics, test/test_utils_config_module.py::TestConfigModule::test_overrides, test/test_utils_config_module.py::TestConfigModule::test_patch, test/test_utils_config_module.py::TestConfigModule::test_reference_is_default, test/test_utils_config_module.py::TestConfigModule::test_reference_semantics, test/test_utils_config_module.py::TestConfigModule::test_save_config, test/test_utils_config_module.py::TestConfigModule::test_save_config_portable, test/test_utils_config_module.py::TestConfigModule::test_type_loading, test/test_utils_config_module.py::TestConfigModule::test_unittest_patch
2025-09-07T06:58:15.9641270Z 
2025-09-07T06:58:17.9409200Z Running test_mkl_verbose 1/1 ... [2025-09-07 06:58:17.940755]
2025-09-07T06:58:17.9409510Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:58:17.9411390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_mkl_verbose.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:58:17.941033]
2025-09-07T06:58:21.7472520Z 
2025-09-07T06:58:21.7474030Z test_mkl_verbose 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkl_verbose_1.1_41d464a7c8017169_.log
2025-09-07T06:58:21.7475390Z Running 2 items in this shard: test/test_mkl_verbose.py::TestMKLVerbose::test_verbose_off, test/test_mkl_verbose.py::TestMKLVerbose::test_verbose_on
2025-09-07T06:58:21.7475850Z 
2025-09-07T06:58:23.7452470Z Running export/test_unflatten_training_ir 1/1 ... [2025-09-07 06:58:23.745029]
2025-09-07T06:58:23.7453340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:58:23.7455540Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_unflatten_training_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:58:23.745338]
2025-09-07T06:58:31.8119870Z 
2025-09-07T06:58:31.8120880Z export/test_unflatten_training_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_training_ir_1.1_715a206a4edc0ce4_.log
2025-09-07T06:58:31.8131040Z Running 28 items in this shard: test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_assert_tensor_metadata_stack_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_attr_as_submod_input_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_dedup_sym_size_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_double_nested_submodule_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_duplicate_placeholder_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_fx_trace_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_nested_leaf_non_strict_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_placeholder_and_get_attr_ordering_after_unflattened_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_simple_alias_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_buffer_mutation_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_constant_obj_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_constant_tensor_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_container_type_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_eager_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_empty_branch_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_nested_access_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_nested_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_none_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_param_list_dict_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_preserve_signature_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_preserve_with_unused_input_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_requires_grad_param_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_shared_submodule_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_skipped_call_module_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_submodule_ordering_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_with_inplace_compile_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflatten_wrong_input_training_ir, test/export/test_unflatten_training_ir.py::TrainingIRUnflattenTestUnflatten::test_unflattened_module_nodes_has_meta_val_training_ir
2025-09-07T06:58:31.8140280Z 
2025-09-07T06:58:33.8489140Z Running inductor/test_cpp_wrapper_hipify 1/1 ... [2025-09-07 06:58:33.848658]
2025-09-07T06:58:33.8490000Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:58:33.8492200Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_cpp_wrapper_hipify.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:58:33.848964]
2025-09-07T06:58:36.1869910Z 
2025-09-07T06:58:36.1872370Z inductor/test_cpp_wrapper_hipify 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpp_wrapper_hipify_1.1_f1337730d8018cda_.log
2025-09-07T06:58:36.1873820Z Running 3 items in this shard: test/inductor/test_cpp_wrapper_hipify.py::TestCppWrapperHipify::test_hipify_aoti_driver_header, test/inductor/test_cpp_wrapper_hipify.py::TestCppWrapperHipify::test_hipify_basic_declaration, test/inductor/test_cpp_wrapper_hipify.py::TestCppWrapperHipify::test_hipify_cross_platform
2025-09-07T06:58:36.1874680Z 
2025-09-07T06:58:38.1657060Z Running inductor/test_external_callables 1/1 ... [2025-09-07 06:58:38.165543]
2025-09-07T06:58:38.1657420Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:58:38.1659270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_external_callables.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:58:38.165815]
2025-09-07T06:58:42.1655370Z 
2025-09-07T06:58:42.1656120Z inductor/test_external_callables 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_external_callables_1.1_f7dbb99b5f64c49c_.log
2025-09-07T06:58:42.1658330Z Running 3 items in this shard: test/inductor/test_external_callables.py::TestInductorExternalCallable::test_matmul_cpu, test/inductor/test_external_callables.py::TestInductorExternalCallable::test_matmul_cuda, test/inductor/test_external_callables.py::TestInductorExternalCallable::test_matmul_dup
2025-09-07T06:58:42.1659160Z 
2025-09-07T06:58:44.2165360Z Running inductor/test_remote_cache 1/1 ... [2025-09-07 06:58:44.216344]
2025-09-07T06:58:44.2166160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:58:44.2168340Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_remote_cache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:58:44.216599]
2025-09-07T06:58:46.2494760Z 
2025-09-07T06:58:46.2495610Z inductor/test_remote_cache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_remote_cache_1.1_a6ab99d530adcc02_.log
2025-09-07T06:58:46.2497380Z Running 3 items in this shard: test/inductor/test_remote_cache.py::TestRemoteCache::test_failure_logging, test/inductor/test_remote_cache.py::TestRemoteCache::test_failure_no_sample, test/inductor/test_remote_cache.py::TestRemoteCache::test_normal_logging
2025-09-07T06:58:46.2498080Z 
2025-09-07T06:58:48.3147380Z Running export/test_export_training_ir_to_run_decomp 1/1 ... [2025-09-07 06:58:48.314512]
2025-09-07T06:58:48.3148280Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:58:48.3150550Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_export_training_ir_to_run_decomp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:58:48.314806]
2025-09-07T06:58:54.8066340Z 
2025-09-07T06:58:54.8068080Z export/test_export_strict 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_strict_1.1_719b22cf457888ce_.log
2025-09-07T06:58:54.8177900Z Running 416 items in this shard: test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_assume_static_by_default_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_constraints_error_not_in_range_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_constraints_error_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_inline_constraints_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_slice_maxsize_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_slice_unbacked_dim1_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_export_strict_narrow_unbacked_expr_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_no_grad_param_inplace_strict, test/export/test_export_strict.py::StrictExportTestDynamismExpression::test_reshape_view_backed_size_oblivious_strict, test/export/test_export_strict.py::StrictExportTestExport::test__scaled_dot_product_flash_attention_strict, test/export/test_export_strict.py::StrictExportTestExport::test_additional_inputs_constants_strict, test/export/test_export_strict.py::StrictExportTestExport::test_allow_explicit_guards_as_runtime_asserts_strict, test/export/test_export_strict.py::StrictExportTestExport::test_args_type_checked_strict, test/export/test_export_strict.py::StrictExportTestExport::test_aten_lift_fresh_copy_strict, test/export/test_export_strict.py::StrictExportTestExport::test_attention_strict, test/export/test_export_strict.py::StrictExportTestExport::test_attr_assignment_extra_strict, test/export/test_export_strict.py::StrictExportTestExport::test_automatic_constrain_size_strict, test/export/test_export_strict.py::StrictExportTestExport::test_automatic_dynamic_shapes_constant_relation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_automatic_dynamic_shapes_linear_relation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_automatic_dynamic_shapes_simple_equality_strict, test/export/test_export_strict.py::StrictExportTestExport::test_baddbmm_strict, test/export/test_export_strict.py::StrictExportTestExport::test_basic_non_strict_fake_tensor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_basic_non_strict_real_tensor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_basic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_bincount_strict, test/export/test_export_strict.py::StrictExportTestExport::test_buffer_util_strict, test/export/test_export_strict.py::StrictExportTestExport::test_capture_subclass_constructor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_capture_subclass_constructor_torch_ir_strict, test/export/test_export_strict.py::StrictExportTestExport::test_capture_subclass_wrong_strict, test/export/test_export_strict.py::StrictExportTestExport::test_ccode_python_mod_strict, test/export/test_export_strict.py::StrictExportTestExport::test_check_specialized_int_strict, test/export/test_export_strict.py::StrictExportTestExport::test_checks_to_constrain_range_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cleanup_dynamic_markers_strict, test/export/test_export_strict.py::StrictExportTestExport::test_colin_unbacked_backed_vr_sub_strict, test/export/test_export_strict.py::StrictExportTestExport::test_colon_parameter_strict, test/export/test_export_strict.py::StrictExportTestExport::test_compiling_state_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_access_identical_symint_closure_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_branches_return_constant_int_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_branches_return_same_int_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_buffers_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_contains_unbacked_no_escape_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_int_closure_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_unflatten_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_with_module_stack_export_with_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cond_with_module_stack_export_with_unflatten_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_aliasing_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_input_naming_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_no_user_inp_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_output_dup_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_output_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_requires_grad_const_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_return_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_tensor_mutation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_tensor_with_non_functional_nested_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constant_tensor_with_non_functional_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constrain_decomp_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constrain_size_in_eager_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constrain_size_with_constrain_value_strict, test/export/test_export_strict.py::StrictExportTestExport::test_constrain_size_with_various_cases_strict, test/export/test_export_strict.py::StrictExportTestExport::test_conv_dynamic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_crop_like_strict, test/export/test_export_strict.py::StrictExportTestExport::test_cse_for_symint_strict, test/export/test_export_strict.py::StrictExportTestExport::test_custom_op_auto_functionalize_pre_dispatch_strict, test/export/test_export_strict.py::StrictExportTestExport::test_custom_op_auto_functionalize_strict, test/export/test_export_strict.py::StrictExportTestExport::test_custom_op_auto_warn_pre_dispatch_strict, test/export/test_export_strict.py::StrictExportTestExport::test_custom_op_preserve_strict, test/export/test_export_strict.py::StrictExportTestExport::test_custom_pytree_strict, test/export/test_export_strict.py::StrictExportTestExport::test_custom_tag_metadata_re_export_strict, test/export/test_export_strict.py::StrictExportTestExport::test_decomp_batch_norm_functional_predispatch_strict, test/export/test_export_strict.py::StrictExportTestExport::test_decomp_item_in_prim_after_decomposition_strict, test/export/test_export_strict.py::StrictExportTestExport::test_decomp_item_in_prim_before_decomposition_strict, test/export/test_export_strict.py::StrictExportTestExport::test_default_decomposition_core_cia_ops_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_1_2_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_basic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_integer_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_nested_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_out_of_order_repeat_derived_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_out_of_order_simplified_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_out_of_order_strict, test/export/test_export_strict.py::StrictExportTestExport::test_derived_dim_repeat_derived_strict, test/export/test_export_strict.py::StrictExportTestExport::test_detect_leak_nonstrict_strict, test/export/test_export_strict.py::StrictExportTestExport::test_detect_leak_nonstrict_with_stacktrace_strict, test/export/test_export_strict.py::StrictExportTestExport::test_detect_leak_strict_strict, test/export/test_export_strict.py::StrictExportTestExport::test_device_to_dynamic_strict, 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test/export/test_export_strict.py::StrictExportTestExport::test_draft_export_checks_aliasing_strict, test/export/test_export_strict.py::StrictExportTestExport::test_draft_export_checks_mutation_list_strict, test/export/test_export_strict.py::StrictExportTestExport::test_draft_export_checks_mutation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_draft_export_checks_mutation_with_nan_strict, test/export/test_export_strict.py::StrictExportTestExport::test_draft_export_fake_kernel_inference_errors_strict, test/export/test_export_strict.py::StrictExportTestExport::test_draft_export_infers_fake_kernel_strict, test/export/test_export_strict.py::StrictExportTestExport::test_duplicate_modules_with_non_persistent_buffers_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_lr_shift_strict, test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_shapes_bounds_strict, 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test/export/test_export_strict.py::StrictExportTestExport::test_dynamic_sym_round_strict, test/export/test_export_strict.py::StrictExportTestExport::test_ends_of_bounds_oblivious_strict, test/export/test_export_strict.py::StrictExportTestExport::test_error_does_not_reference_eager_fallback_strict, test/export/test_export_strict.py::StrictExportTestExport::test_error_when_passing_mutating_primitive_op_strict, test/export/test_export_strict.py::StrictExportTestExport::test_exception_strict, test/export/test_export_strict.py::StrictExportTestExport::test_expand_copy_export_handles_implicit_true_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_api_with_dynamic_shapes_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_as_backend_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_associative_scan_lifted_buffers_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_associative_scan_symbol_dim_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_associative_scan_symbol_scandim_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_aten_to_unflatten_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_aten_to_unflatten_subclass_pre_dispatch_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_aten_to_unflatten_subclass_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_cond_symbool_pred_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_cond_warns_constant_pred_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_custom_decomp_table_basic_pop_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_custom_decomp_table_container_methods_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_custom_op_lib_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_custom_triton_kernel_mutable_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_custom_triton_kernel_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_cyclic_reference_leak_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_decomp_torture_case_1_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_decomp_torture_case_2_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_decomps_dynamic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_decomps_simple_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_dynamo_config_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_for_training_run_decomp_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_for_training_with_container_type_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_for_training_with_dynamic_shapes_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_for_training_with_mutation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_for_training_with_state_dict_hooks_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_default_kwargs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_keyword_only_args_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_kwargs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_pytree_kwargs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_var_keyword_args_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_var_keyword_pytree_args_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_func_with_var_postional_args_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_function_schema_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_graph_with_no_inputs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_input_mutation_bug_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_input_mutation_dynamic_shape_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_input_mutation_static_shape_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_linear_preserve_dynamic_shape_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_max_nonstrict_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_max_onnx_reported_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_method_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_mod_constraints_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_module_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_preserve_linear_at_aot_level_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_preserve_linear_but_not_custom_op_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_scan_pytree_output_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_script_module_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_statically_known_true_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_then_compile_tensor_ctor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_with_autocast_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_with_fake_tensor_inputs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_with_inline_constraints_complex_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_with_inline_constraints_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_with_set_grad_enabled_strict, test/export/test_export_strict.py::StrictExportTestExport::test_export_with_wrong_inputs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_external_call_non_strict_real_tensor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_fake_inputs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_fake_weights_strict, test/export/test_export_strict.py::StrictExportTestExport::test_filter_traceback_frames_strict, test/export/test_export_strict.py::StrictExportTestExport::test_float_conversion_from_int_strict, test/export/test_export_strict.py::StrictExportTestExport::test_float_conversion_strict, test/export/test_export_strict.py::StrictExportTestExport::test_fqn_strict, test/export/test_export_strict.py::StrictExportTestExport::test_from_node_metadata_export_strict, test/export/test_export_strict.py::StrictExportTestExport::test_full_on_scalar_tensor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_function_holding_tensor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_hints_wrapper_strict, test/export/test_export_strict.py::StrictExportTestExport::test_hoo_inline_users_issue_strict, test/export/test_export_strict.py::StrictExportTestExport::test_if_functional_strict, test/export/test_export_strict.py::StrictExportTestExport::test_if_post_autograd_op_preserved_strict, test/export/test_export_strict.py::StrictExportTestExport::test_inline_script_class_method_recursive_strict, test/export/test_export_strict.py::StrictExportTestExport::test_inline_script_class_method_strict, test/export/test_export_strict.py::StrictExportTestExport::test_inline_script_function_strict, test/export/test_export_strict.py::StrictExportTestExport::test_inline_script_method_strict, test/export/test_export_strict.py::StrictExportTestExport::test_int_shape_specialization_strict, test/export/test_export_strict.py::StrictExportTestExport::test_intermediate_shape_comp_strict, test/export/test_export_strict.py::StrictExportTestExport::test_is_exporting_strict, test/export/test_export_strict.py::StrictExportTestExport::test_is_non_negative_check_function_strict, test/export/test_export_strict.py::StrictExportTestExport::test_is_nonzero_strict, test/export/test_export_strict.py::StrictExportTestExport::test_isnonzero_strict, test/export/test_export_strict.py::StrictExportTestExport::test_issue_113041_strict, test/export/test_export_strict.py::StrictExportTestExport::test_issue_157289_strict, test/export/test_export_strict.py::StrictExportTestExport::test_istft_op_strict, test/export/test_export_strict.py::StrictExportTestExport::test_keep_composite_ops_invalid_strict, test/export/test_export_strict.py::StrictExportTestExport::test_keep_composite_ops_linear_convd_for_training_ir_strict, test/export/test_export_strict.py::StrictExportTestExport::test_keep_composite_ops_linear_convd_strict, test/export/test_export_strict.py::StrictExportTestExport::test_kwarg_dynamic_shapes_diff_order_strict, test/export/test_export_strict.py::StrictExportTestExport::test_kwargs_reorder_strict, test/export/test_export_strict.py::StrictExportTestExport::test_layer_norm_unbacked_normalized_shape_strict, test/export/test_export_strict.py::StrictExportTestExport::test_layer_sharing_strict, test/export/test_export_strict.py::StrictExportTestExport::test_lazy_module_kwargs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_lifted_constants_strict, test/export/test_export_strict.py::StrictExportTestExport::test_linear_conv_strict, test/export/test_export_strict.py::StrictExportTestExport::test_malformed_fqn_from_source_name_strict, test/export/test_export_strict.py::StrictExportTestExport::test_map_buffers_strict, test/export/test_export_strict.py::StrictExportTestExport::test_map_strict, test/export/test_export_strict.py::StrictExportTestExport::test_mask_nonzero_static_strict, test/export/test_export_strict.py::StrictExportTestExport::test_masked_select_dynamic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_math_pow_strict, test/export/test_export_strict.py::StrictExportTestExport::test_mismatched_dynamic_shapes_strict, test/export/test_export_strict.py::StrictExportTestExport::test_mixed_input_strict, test/export/test_export_strict.py::StrictExportTestExport::test_module_dict_key_strict, test/export/test_export_strict.py::StrictExportTestExport::test_module_input_strict, test/export/test_export_strict.py::StrictExportTestExport::test_module_input_subclasses_parameterization_nested_strict, test/export/test_export_strict.py::StrictExportTestExport::test_module_list_slice_strict, test/export/test_export_strict.py::StrictExportTestExport::test_module_strict, test/export/test_export_strict.py::StrictExportTestExport::test_module_with_dict_container_inp_out_strict, test/export/test_export_strict.py::StrictExportTestExport::test_modules_access_for_deleted_submodule_strict, test/export/test_export_strict.py::StrictExportTestExport::test_more_multidimensional_slicing_strict, test/export/test_export_strict.py::StrictExportTestExport::test_multidimensional_slicing_strict, test/export/test_export_strict.py::StrictExportTestExport::test_multinomial_dynamic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_multiple_definitions_same_name_dim_strict, test/export/test_export_strict.py::StrictExportTestExport::test_nested_dynamic_shapes_spec_strict, test/export/test_export_strict.py::StrictExportTestExport::test_nested_module_strict, test/export/test_export_strict.py::StrictExportTestExport::test_nested_module_with_constant_buffer_strict, test/export/test_export_strict.py::StrictExportTestExport::test_nested_module_with_init_buffer_strict, test/export/test_export_strict.py::StrictExportTestExport::test_nested_module_with_parameter_strict, test/export/test_export_strict.py::StrictExportTestExport::test_nn_module_stack_shared_submodule_strict, test/export/test_export_strict.py::StrictExportTestExport::test_nn_module_stack_strict, test/export/test_export_strict.py::StrictExportTestExport::test_no_check_is_size_error_strict, test/export/test_export_strict.py::StrictExportTestExport::test_no_suggested_fixes_for_data_dependent_errors_strict, test/export/test_export_strict.py::StrictExportTestExport::test_no_tensor_computation_2_strict, test/export/test_export_strict.py::StrictExportTestExport::test_no_tensor_computation_3_strict, test/export/test_export_strict.py::StrictExportTestExport::test_no_tensor_computation_4_strict, test/export/test_export_strict.py::StrictExportTestExport::test_no_tensor_computation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_non_arg_name_dynamic_shapes_api_strict, test/export/test_export_strict.py::StrictExportTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_strict, test/export/test_export_strict.py::StrictExportTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_strict, test/export/test_export_strict.py::StrictExportTestExport::test_non_persistent_buffer_strict, test/export/test_export_strict.py::StrictExportTestExport::test_non_strict_dynamic_shapes_strict, test/export/test_export_strict.py::StrictExportTestExport::test_non_strict_dynamic_shapes_suggested_fixes_strict, test/export/test_export_strict.py::StrictExportTestExport::test_none_buffers_strict, test/export/test_export_strict.py::StrictExportTestExport::test_nonstrict_retrace_preserves_metadata_strict, test/export/test_export_strict.py::StrictExportTestExport::test_nonzero_2_strict, test/export/test_export_strict.py::StrictExportTestExport::test_nonzero_dynamic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_not_registered_parameter_strict, test/export/test_export_strict.py::StrictExportTestExport::test_operator_aten_tensor_mode_variant_strict, test/export/test_export_strict.py::StrictExportTestExport::test_output_node_name_strict, test/export/test_export_strict.py::StrictExportTestExport::test_pad_sequence_strict, test/export/test_export_strict.py::StrictExportTestExport::test_param_util_strict, test/export/test_export_strict.py::StrictExportTestExport::test_partial_patched_forward_strict, test/export/test_export_strict.py::StrictExportTestExport::test_placeholder_naming_collisions_hoo_subgraphs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_placeholder_naming_collisions_strict, test/export/test_export_strict.py::StrictExportTestExport::test_placeholder_naming_order_strict, test/export/test_export_strict.py::StrictExportTestExport::test_placeholder_naming_order_variadic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_placeholder_update_preserving_strict, test/export/test_export_strict.py::StrictExportTestExport::test_predispatch_cond_strict, test/export/test_export_strict.py::StrictExportTestExport::test_predispatch_grad_wrappers_strict, test/export/test_export_strict.py::StrictExportTestExport::test_preserve_module_call_signature_unflatten_specialization_strict, test/export/test_export_strict.py::StrictExportTestExport::test_preserve_requires_grad_placeholders_strict, test/export/test_export_strict.py::StrictExportTestExport::test_preserve_shape_dynamism_for_unused_inputs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_profiling_code_strict, test/export/test_export_strict.py::StrictExportTestExport::test_python_asserts_with_sym_int_strict, test/export/test_export_strict.py::StrictExportTestExport::test_pytree_register_data_class_strict, test/export/test_export_strict.py::StrictExportTestExport::test_pytree_register_nested_data_class_strict, test/export/test_export_strict.py::StrictExportTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_range_constraints_with_replacement_strict, test/export/test_export_strict.py::StrictExportTestExport::test_real_tensor_alias_dtype_mismatch_strict, test/export/test_export_strict.py::StrictExportTestExport::test_real_tensor_bool_cast_strict, test/export/test_export_strict.py::StrictExportTestExport::test_real_tensor_errors_on_aliasing_custom_op_strict, test/export/test_export_strict.py::StrictExportTestExport::test_real_tensor_for_max_op_strict, test/export/test_export_strict.py::StrictExportTestExport::test_real_tensor_size_mismatch_strict, test/export/test_export_strict.py::StrictExportTestExport::test_redundant_assert_max_upper_bound_strict, test/export/test_export_strict.py::StrictExportTestExport::test_redundant_asserts_strict, test/export/test_export_strict.py::StrictExportTestExport::test_refine_dynamic_shapes_from_suggested_fixes_strict, test/export/test_export_strict.py::StrictExportTestExport::test_register_constant_strict, test/export/test_export_strict.py::StrictExportTestExport::test_repeat_interleave_strict, test/export/test_export_strict.py::StrictExportTestExport::test_replace_unbacked_with_very_large_upperbound_strict, test/export/test_export_strict.py::StrictExportTestExport::test_replaced_unbacked_bindings_strict, test/export/test_export_strict.py::StrictExportTestExport::test_reshape_view_helper_strict, test/export/test_export_strict.py::StrictExportTestExport::test_retracable_ep_strict, test/export/test_export_strict.py::StrictExportTestExport::test_retrace_pre_autograd_strict, test/export/test_export_strict.py::StrictExportTestExport::test_run_decomposition_supports_user_input_mutation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_run_decompositions_keep_metadata_strict, test/export/test_export_strict.py::StrictExportTestExport::test_run_decompositions_keep_tensor_constant_metadata_strict, test/export/test_export_strict.py::StrictExportTestExport::test_runtime_assert_for_prim_strict, test/export/test_export_strict.py::StrictExportTestExport::test_runtime_assert_for_prm_str_strict, test/export/test_export_strict.py::StrictExportTestExport::test_runtime_assert_with_size_strict, test/export/test_export_strict.py::StrictExportTestExport::test_sdpa_gqa_strict, test/export/test_export_strict.py::StrictExportTestExport::test_sequential_slicing_strict, test/export/test_export_strict.py::StrictExportTestExport::test_set_example_inputs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_set_grad_as_side_effect_strict, test/export/test_export_strict.py::StrictExportTestExport::test_set_grad_empty_strict, test/export/test_export_strict.py::StrictExportTestExport::test_set_grad_unflatten_strict, test/export/test_export_strict.py::StrictExportTestExport::test_setgrad_lifted_tensor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_shared_submodule_nn_module_stack_strict, test/export/test_export_strict.py::StrictExportTestExport::test_simple_export_for_training_strict, test/export/test_export_strict.py::StrictExportTestExport::test_simple_unbacked_view_strict, test/export/test_export_strict.py::StrictExportTestExport::test_size_input_strict, test/export/test_export_strict.py::StrictExportTestExport::test_slice_nn_module_stack_strict, test/export/test_export_strict.py::StrictExportTestExport::test_solver_unsupported_sympy_function_strict, test/export/test_export_strict.py::StrictExportTestExport::test_specialize_derived_dim_roots_strict, test/export/test_export_strict.py::StrictExportTestExport::test_split_const_gm_with_lifted_constants_strict, test/export/test_export_strict.py::StrictExportTestExport::test_stack_trace_make_fx_strict, test/export/test_export_strict.py::StrictExportTestExport::test_stack_trace_strict, test/export/test_export_strict.py::StrictExportTestExport::test_state_primitives_strict, test/export/test_export_strict.py::StrictExportTestExport::test_state_shape_attribute_assignment_strict, test/export/test_export_strict.py::StrictExportTestExport::test_state_tensors_strict, test/export/test_export_strict.py::StrictExportTestExport::test_static_dim_constraints_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclass_nested_attr_access_complicated_metadata_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclass_nested_attr_access_const_metadata_not_top_level_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclass_nested_attr_access_const_metadata_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclass_nested_attr_access_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclass_nested_attr_access_submodule_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclasses_parameterization_nested_strict, test/export/test_export_strict.py::StrictExportTestExport::test_subclasses_parameterization_strict, test/export/test_export_strict.py::StrictExportTestExport::test_suggest_torch_checks_with_non_negative_check_strict, test/export/test_export_strict.py::StrictExportTestExport::test_suggest_torch_checks_with_regular_check_strict, test/export/test_export_strict.py::StrictExportTestExport::test_suggested_fixes_for_data_dependent_errors_basic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_strict, test/export/test_export_strict.py::StrictExportTestExport::test_suggested_fixes_new_roots_strict, test/export/test_export_strict.py::StrictExportTestExport::test_sym_float_operators_strict, test/export/test_export_strict.py::StrictExportTestExport::test_sym_or_sym_and_strict, test/export/test_export_strict.py::StrictExportTestExport::test_sym_sqrt_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symbool_item_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symfloat_item_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_input_additional_inputs_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_input_basic_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_input_ranges_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_input_shapes_collection_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_input_specialization_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_item_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_output_strict, test/export/test_export_strict.py::StrictExportTestExport::test_symint_tensor_return_strict, test/export/test_export_strict.py::StrictExportTestExport::test_tensor_attribute_zero_args_strict, test/export/test_export_strict.py::StrictExportTestExport::test_tensor_constant_aten_to_strict, test/export/test_export_strict.py::StrictExportTestExport::test_tensor_constant_with_wrapped_method_strict, test/export/test_export_strict.py::StrictExportTestExport::test_to_module_with_mutated_buffer_multiple_strict, test/export/test_export_strict.py::StrictExportTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_strict, test/export/test_export_strict.py::StrictExportTestExport::test_to_module_with_mutated_buffer_strict, test/export/test_export_strict.py::StrictExportTestExport::test_tolist_strict, test/export/test_export_strict.py::StrictExportTestExport::test_torch_check_eq_commutativity_strict, test/export/test_export_strict.py::StrictExportTestExport::test_torch_fn_strict, test/export/test_export_strict.py::StrictExportTestExport::test_trace_under_fake_strict, test/export/test_export_strict.py::StrictExportTestExport::test_train_eval_on_exported_preautograd_module_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_3d_matmul_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_bincount_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_bindings_for_divisible_u_symint_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_deferred_runtime_retrace_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_expand_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_infer_size_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_kth_value_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_linear_layer_norm_input_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_noncontig_lin_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_pad_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_scalar_constructor_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_slice_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_to_cond_passthrough_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_to_cond_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unbacked_unsqueeze_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_asserts_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_buffer_update_child2parent_swap_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_closure_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_isinstance_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_multiple_graphs_dispatch_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_multiple_graphs_preserve_signature_no_error_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_multiple_graphs_shared_submodule_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_multiple_graphs_state_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_no_unroll_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_placeholder_update_child2parent_swap_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_placeholder_update_grandchild2cousin_swap_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_5_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_6_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_buf_8_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_const_preserving_3_1_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_const_preserving_3_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_4_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_6_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_9_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_10_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_5_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_7_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unflatten_random_dag_preserving_4_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unused_aliases_strict, test/export/test_export_strict.py::StrictExportTestExport::test_unused_constant_strict, test/export/test_export_strict.py::StrictExportTestExport::test_use_embedding_twice_strict, test/export/test_export_strict.py::StrictExportTestExport::test_user_input_and_buffer_mutation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_vmap_strict, test/export/test_export_strict.py::StrictExportTestExport::test_while_loop_assert_separation_strict, test/export/test_export_strict.py::StrictExportTestExport::test_while_loop_index_assertions_strict, test/export/test_export_strict.py::StrictExportTestExport::test_while_loop_simple_strict, test/export/test_export_strict.py::StrictExportTestExport::test_while_loop_tensor_constant_idx_strict, test/export/test_export_strict.py::StrictExportTestExport::test_wrapper_module_strict
2025-09-07T06:58:54.8283310Z 
2025-09-07T06:58:56.8904680Z Running inductor/test_ck_backend 1/1 ... [2025-09-07 06:58:56.890254]
2025-09-07T06:58:56.8905460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:58:56.8907650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_ck_backend.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:58:56.890530]
2025-09-07T06:58:59.7160270Z 
2025-09-07T06:58:59.7160840Z inductor/test_ck_backend 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_ck_backend_1.1_49e304a0b8f14372_.log
2025-09-07T06:58:59.7161310Z 
2025-09-07T06:59:02.0391550Z Running inductor/test_best_config 1/1 ... [2025-09-07 06:59:02.038954]
2025-09-07T06:59:02.0392360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:59:02.0394520Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_best_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:59:02.039221]
2025-09-07T06:59:04.8476140Z 
2025-09-07T06:59:04.8477820Z inductor/test_best_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_best_config_1.1_d187fff600291ac0_.log
2025-09-07T06:59:04.8479080Z 
2025-09-07T06:59:07.2302340Z Running inductor/test_triton_wrapper 1/1 ... [2025-09-07 06:59:07.230018]
2025-09-07T06:59:07.2303160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:59:07.2305350Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_triton_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:59:07.230317]
2025-09-07T06:59:10.0902000Z 
2025-09-07T06:59:10.0902610Z inductor/test_triton_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_triton_wrapper_1.1_70ad9a7b81ea7532_.log
2025-09-07T06:59:10.0903590Z 
2025-09-07T06:59:12.2010010Z Running inductor/test_move_constructors_to_cuda 1/1 ... [2025-09-07 06:59:12.200796]
2025-09-07T06:59:12.2010910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:59:12.2013150Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_move_constructors_to_cuda.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:59:12.201053]
2025-09-07T06:59:15.1136450Z 
2025-09-07T06:59:15.1137090Z inductor/test_move_constructors_to_cuda 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_move_constructors_to_cuda_1.1_073751d12b76c6ab_.log
2025-09-07T06:59:15.1137610Z 
2025-09-07T06:59:17.2080460Z Running inductor/test_autoheuristic 1/1 ... [2025-09-07 06:59:17.207849]
2025-09-07T06:59:17.2081310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:59:17.2083470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_autoheuristic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:59:17.208105]
2025-09-07T06:59:20.0534800Z 
2025-09-07T06:59:20.0535670Z inductor/test_autoheuristic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_autoheuristic_1.1_40fa55ab1df8f431_.log
2025-09-07T06:59:20.0536160Z 
2025-09-07T06:59:22.2595170Z Running inductor/test_subgraph_choice 1/1 ... [2025-09-07 06:59:22.259309]
2025-09-07T06:59:22.2596590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:59:22.2598790Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_subgraph_choice.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:59:22.259609]
2025-09-07T06:59:25.0504350Z 
2025-09-07T06:59:25.0505320Z inductor/test_subgraph_choice 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_subgraph_choice_1.1_2744cc95ca51eefa_.log
2025-09-07T06:59:27.1728910Z 
2025-09-07T06:59:27.1729940Z Running inductor/test_cpu_cpp_wrapper 1/1 ... [2025-09-07 06:59:27.172762]
2025-09-07T06:59:27.1732340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:59:27.1734570Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_cpu_cpp_wrapper.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:59:27.173168]
2025-09-07T06:59:30.4180490Z 
2025-09-07T06:59:30.4181590Z inductor/test_cpu_cpp_wrapper 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cpu_cpp_wrapper_1.1_e5f22ed462b6846d_.log
2025-09-07T06:59:30.4182080Z 
2025-09-07T06:59:32.5410250Z Running export/test_passes 1/1 ... [2025-09-07 06:59:32.540823]
2025-09-07T06:59:32.5410990Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:59:32.5413080Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_passes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:59:32.541096]
2025-09-07T06:59:45.2641370Z 
2025-09-07T06:59:45.2641970Z export/test_passes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_passes_1.1_1266d178d95e1eb1_.log
2025-09-07T06:59:45.2655340Z Running 28 items in this shard: test/export/test_passes.py::TestPasses::test_constant_folding_pass, test/export/test_passes.py::TestPasses::test_custom_obj_tuple_out, test/export/test_passes.py::TestPasses::test_fakify_script_objects, test/export/test_passes.py::TestPasses::test_fakify_script_objects_properly_handle_containers, test/export/test_passes.py::TestPasses::test_functionalization_with_view_copy, test/export/test_passes.py::TestPasses::test_inline_, test/export/test_passes.py::TestPasses::test_math_ops, test/export/test_passes.py::TestPasses::test_move_device_example_inputs, test/export/test_passes.py::TestPasses::test_move_device_submod, test/export/test_passes.py::TestPasses::test_move_device_to, test/export/test_passes.py::TestPasses::test_move_to_device_pass, test/export/test_passes.py::TestPasses::test_predispatch_autocast, test/export/test_passes.py::TestPasses::test_predispatch_autocast_and_set_grad, test/export/test_passes.py::TestPasses::test_predispatch_set_grad, test/export/test_passes.py::TestPasses::test_remove_auto_functionalized_pass, test/export/test_passes.py::TestPasses::test_remove_auto_functionalized_pass_tuple, test/export/test_passes.py::TestPasses::test_remove_effect_token_kwargs, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_cond, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_item, test/export/test_passes.py::TestPasses::test_runtime_assert_inline_constraints_for_nonzero, test/export/test_passes.py::TestPasses::test_runtime_assert_multiple_dims, test/export/test_passes.py::TestPasses::test_runtime_assert_one_dim, test/export/test_passes.py::TestPasses::test_runtime_assert_some_dims_not_specified, test/export/test_passes.py::TestPasses::test_runtime_assert_some_inps_not_used, test/export/test_passes.py::TestPasses::test_sequential_split, test/export/test_passes.py::TestPasses::test_sequential_split_graph, test/export/test_passes.py::TestPasses::test_view_to_view_copy, test/export/test_passes.py::TestPasses::test_views_op_having_view_copy
2025-09-07T06:59:45.2660510Z 
2025-09-07T06:59:45.3244140Z 
2025-09-07T06:59:45.3245820Z export/test_retraceability 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_retraceability_1.1_98a80c1edc61417f_.log
2025-09-07T06:59:45.3528050Z Running 832 items in this shard: test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_assume_static_by_default_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_constraints_error_not_in_range_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_constraints_error_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_inline_constraints_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_slice_maxsize_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_slice_unbacked_dim1_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_export_strict_narrow_unbacked_expr_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_no_grad_param_inplace_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestDynamismExpression::test_reshape_view_backed_size_oblivious_retraceability_strict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_assume_static_by_default_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_constraints_error_not_in_range_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_constraints_error_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_inline_constraints_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_slice_maxsize_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_slice_unbacked_dim1_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_export_strict_narrow_unbacked_expr_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_no_grad_param_inplace_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestDynamismExpression::test_reshape_view_backed_size_oblivious_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportTestExport::test__scaled_dot_product_flash_attention_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_additional_inputs_constants_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_allow_explicit_guards_as_runtime_asserts_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_args_type_checked_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_aten_lift_fresh_copy_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_attention_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_attr_assignment_extra_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_automatic_constrain_size_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_automatic_dynamic_shapes_constant_relation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_automatic_dynamic_shapes_linear_relation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_automatic_dynamic_shapes_simple_equality_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_baddbmm_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_basic_non_strict_fake_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_basic_non_strict_real_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_basic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_bincount_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_buffer_util_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_capture_subclass_constructor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_capture_subclass_constructor_torch_ir_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_capture_subclass_wrong_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_ccode_python_mod_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_check_specialized_int_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_checks_to_constrain_range_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cleanup_dynamic_markers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_colin_unbacked_backed_vr_sub_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_colon_parameter_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_compiling_state_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_access_identical_symint_closure_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_branches_return_constant_int_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_branches_return_same_int_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_buffers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_contains_unbacked_no_escape_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_int_closure_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_unflatten_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_with_module_stack_export_with_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cond_with_module_stack_export_with_unflatten_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_aliasing_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_input_naming_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_no_user_inp_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_output_dup_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_output_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_requires_grad_const_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_return_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_tensor_mutation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_tensor_with_non_functional_nested_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constant_tensor_with_non_functional_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constrain_decomp_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constrain_size_in_eager_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constrain_size_with_constrain_value_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_constrain_size_with_various_cases_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_conv_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_crop_like_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_cse_for_symint_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_op_auto_functionalize_pre_dispatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_op_auto_functionalize_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_op_auto_warn_pre_dispatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_op_preserve_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_pytree_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_custom_tag_metadata_re_export_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_decomp_batch_norm_functional_predispatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_decomp_item_in_prim_after_decomposition_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_decomp_item_in_prim_before_decomposition_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_default_decomposition_core_cia_ops_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_1_2_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_basic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_integer_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_nested_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_out_of_order_repeat_derived_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_out_of_order_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_out_of_order_simplified_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_derived_dim_repeat_derived_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_detect_leak_nonstrict_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_detect_leak_nonstrict_with_stacktrace_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_detect_leak_strict_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_gpu_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_mutation_float_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_mutation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_device_to_static_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_1_2_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_auto_and_dim_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_dynamic_divisibility_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_dynamic_specialization_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_hint_range_violations_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dim_hint_ranges_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_disable_forced_specializations_errors_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_disable_forced_specializations_ok_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_distributed_all_gather_into_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_distributed_all_gather_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_distributed_all_reduce_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_distributed_all_to_all_single_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_distributed_reduce_scatter_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dont_duck_size_for_auto_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_double_lifted_constants_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_draft_export_checks_aliasing_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_draft_export_checks_mutation_list_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_draft_export_checks_mutation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_draft_export_checks_mutation_with_nan_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_draft_export_fake_kernel_inference_errors_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_draft_export_infers_fake_kernel_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_duplicate_modules_with_non_persistent_buffers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_lr_shift_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_bounds_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_builder_basic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_builder_kwargs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_builder_pytree_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_dataclass_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_inferred_basic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_serdes_generic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_serdes_user_errors_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_serdes_various_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_shapes_spec_with_pytree_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_dynamic_sym_round_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_ends_of_bounds_oblivious_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_error_does_not_reference_eager_fallback_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_error_when_passing_mutating_primitive_op_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_exception_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_expand_copy_export_handles_implicit_true_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_api_with_dynamic_shapes_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_as_backend_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_associative_scan_lifted_buffers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_associative_scan_symbol_dim_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_associative_scan_symbol_scandim_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_aten_to_unflatten_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_aten_to_unflatten_subclass_pre_dispatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_aten_to_unflatten_subclass_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_cond_symbool_pred_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_cond_warns_constant_pred_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_custom_decomp_table_basic_pop_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_custom_decomp_table_container_methods_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_custom_op_lib_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_custom_triton_kernel_mutable_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_custom_triton_kernel_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_cyclic_reference_leak_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_decomp_torture_case_1_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_decomp_torture_case_2_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_decomps_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_decomps_simple_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_dynamo_config_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_run_decomp_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_with_container_type_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_with_dynamic_shapes_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_with_mutation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_for_training_with_state_dict_hooks_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_default_kwargs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_keyword_only_args_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_kwargs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_pytree_kwargs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_var_keyword_args_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_var_keyword_pytree_args_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_func_with_var_postional_args_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_function_schema_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_graph_with_no_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_input_mutation_bug_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_input_mutation_dynamic_shape_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_input_mutation_static_shape_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_linear_preserve_dynamic_shape_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_max_nonstrict_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_max_onnx_reported_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_method_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_mod_constraints_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_module_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_preserve_linear_at_aot_level_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_preserve_linear_but_not_custom_op_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_scan_pytree_output_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_script_module_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_statically_known_true_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_then_compile_tensor_ctor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_autocast_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_fake_tensor_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_inline_constraints_complex_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_inline_constraints_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_set_grad_enabled_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_export_with_wrong_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_external_call_non_strict_real_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_fake_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_fake_weights_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_filter_traceback_frames_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_float_conversion_from_int_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_float_conversion_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_fqn_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_from_node_metadata_export_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_full_on_scalar_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_function_holding_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_hints_wrapper_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_hoo_inline_users_issue_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_if_functional_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_if_post_autograd_op_preserved_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_inline_script_class_method_recursive_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_inline_script_class_method_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_inline_script_function_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_inline_script_method_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_int_shape_specialization_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_intermediate_shape_comp_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_is_exporting_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_is_non_negative_check_function_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_is_nonzero_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_isnonzero_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_issue_113041_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_issue_157289_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_istft_op_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_keep_composite_ops_invalid_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_keep_composite_ops_linear_convd_for_training_ir_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_keep_composite_ops_linear_convd_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_kwarg_dynamic_shapes_diff_order_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_kwargs_reorder_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_layer_norm_unbacked_normalized_shape_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_layer_sharing_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_lazy_module_kwargs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_lifted_constants_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_linear_conv_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_malformed_fqn_from_source_name_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_map_buffers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_map_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_mask_nonzero_static_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_masked_select_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_math_pow_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_mismatched_dynamic_shapes_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_mixed_input_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_module_dict_key_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_module_input_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_module_input_subclasses_parameterization_nested_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_module_list_slice_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_module_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_module_with_dict_container_inp_out_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_modules_access_for_deleted_submodule_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_more_multidimensional_slicing_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_multidimensional_slicing_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_multinomial_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_multiple_definitions_same_name_dim_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_dynamic_shapes_spec_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_module_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_module_with_constant_buffer_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_module_with_init_buffer_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nested_module_with_parameter_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nn_module_stack_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nn_module_stack_shared_submodule_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_no_check_is_size_error_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_no_suggested_fixes_for_data_dependent_errors_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_no_tensor_computation_2_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_no_tensor_computation_3_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_no_tensor_computation_4_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_no_tensor_computation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_non_arg_name_dynamic_shapes_api_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_non_persistent_buffer_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_non_strict_dynamic_shapes_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_non_strict_dynamic_shapes_suggested_fixes_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_none_buffers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nonstrict_retrace_preserves_metadata_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nonzero_2_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_nonzero_dynamic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_not_registered_parameter_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_operator_aten_tensor_mode_variant_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_output_node_name_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_pad_sequence_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_param_util_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_partial_patched_forward_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_placeholder_naming_collisions_hoo_subgraphs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_placeholder_naming_collisions_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_placeholder_naming_order_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_placeholder_naming_order_variadic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_placeholder_update_preserving_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_predispatch_cond_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_predispatch_grad_wrappers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_preserve_module_call_signature_unflatten_specialization_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_preserve_requires_grad_placeholders_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_preserve_shape_dynamism_for_unused_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_profiling_code_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_python_asserts_with_sym_int_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_pytree_register_data_class_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_pytree_register_nested_data_class_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_range_constraints_with_replacement_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_real_tensor_alias_dtype_mismatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_real_tensor_bool_cast_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_real_tensor_errors_on_aliasing_custom_op_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_real_tensor_for_max_op_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_real_tensor_size_mismatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_redundant_assert_max_upper_bound_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_redundant_asserts_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_refine_dynamic_shapes_from_suggested_fixes_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_register_constant_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_repeat_interleave_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_replace_unbacked_with_very_large_upperbound_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_replaced_unbacked_bindings_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_reshape_view_helper_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_retracable_ep_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_retrace_pre_autograd_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_run_decomposition_supports_user_input_mutation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_run_decompositions_keep_metadata_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_run_decompositions_keep_tensor_constant_metadata_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_runtime_assert_for_prim_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_runtime_assert_for_prm_str_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_runtime_assert_with_size_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_sdpa_gqa_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_sequential_slicing_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_set_example_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_set_grad_as_side_effect_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_set_grad_empty_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_set_grad_unflatten_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_setgrad_lifted_tensor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_shared_submodule_nn_module_stack_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_simple_export_for_training_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_simple_unbacked_view_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_size_input_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_slice_nn_module_stack_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_solver_unsupported_sympy_function_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_specialize_derived_dim_roots_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_split_const_gm_with_lifted_constants_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_stack_trace_make_fx_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_stack_trace_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_state_primitives_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_state_shape_attribute_assignment_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_state_tensors_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_static_dim_constraints_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclass_nested_attr_access_complicated_metadata_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclass_nested_attr_access_const_metadata_not_top_level_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclass_nested_attr_access_const_metadata_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclass_nested_attr_access_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclass_nested_attr_access_submodule_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclasses_parameterization_nested_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_subclasses_parameterization_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_suggest_torch_checks_with_non_negative_check_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_suggest_torch_checks_with_regular_check_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_suggested_fixes_for_data_dependent_errors_basic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_suggested_fixes_new_roots_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_sym_float_operators_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_sym_or_sym_and_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_sym_sqrt_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symbool_item_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symfloat_item_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_input_additional_inputs_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_input_basic_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_input_ranges_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_input_shapes_collection_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_input_specialization_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_item_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_output_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_symint_tensor_return_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_tensor_attribute_zero_args_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_tensor_constant_aten_to_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_tensor_constant_with_wrapped_method_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_to_module_with_mutated_buffer_multiple_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_to_module_with_mutated_buffer_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_tolist_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_torch_check_eq_commutativity_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_torch_fn_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_trace_under_fake_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_train_eval_on_exported_preautograd_module_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_3d_matmul_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_bincount_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_bindings_for_divisible_u_symint_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_deferred_runtime_retrace_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_expand_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_infer_size_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_kth_value_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_linear_layer_norm_input_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_noncontig_lin_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_pad_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_scalar_constructor_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_slice_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_to_cond_passthrough_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_to_cond_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unbacked_unsqueeze_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_asserts_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_buffer_update_child2parent_swap_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_closure_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_isinstance_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_multiple_graphs_dispatch_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_multiple_graphs_preserve_signature_no_error_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_multiple_graphs_shared_submodule_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_multiple_graphs_state_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_no_unroll_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_placeholder_update_child2parent_swap_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_placeholder_update_grandchild2cousin_swap_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_5_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_6_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_buf_8_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_const_preserving_3_1_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_const_preserving_3_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_4_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_6_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_9_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_10_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_5_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_7_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unflatten_random_dag_preserving_4_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unused_aliases_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_unused_constant_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_use_embedding_twice_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_user_input_and_buffer_mutation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_vmap_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_while_loop_assert_separation_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_while_loop_index_assertions_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_while_loop_simple_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_while_loop_tensor_constant_idx_retraceability_strict, test/export/test_retraceability.py::RetraceExportTestExport::test_wrapper_module_retraceability_strict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test__scaled_dot_product_flash_attention_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_additional_inputs_constants_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_allow_explicit_guards_as_runtime_asserts_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_args_type_checked_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_aten_lift_fresh_copy_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_attention_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_attr_assignment_extra_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_automatic_constrain_size_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_automatic_dynamic_shapes_constant_relation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_automatic_dynamic_shapes_linear_relation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_automatic_dynamic_shapes_simple_equality_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_baddbmm_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_basic_non_strict_fake_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_basic_non_strict_real_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_basic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_bincount_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_buffer_util_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_capture_subclass_constructor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_capture_subclass_constructor_torch_ir_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_capture_subclass_wrong_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_ccode_python_mod_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_check_specialized_int_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_checks_to_constrain_range_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cleanup_dynamic_markers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_colin_unbacked_backed_vr_sub_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_colon_parameter_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_compiling_state_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_access_identical_symint_closure_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_branches_return_constant_int_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_branches_return_same_int_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_buffers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_contains_unbacked_no_escape_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_int_closure_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_unflatten_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_with_module_stack_export_with_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cond_with_module_stack_export_with_unflatten_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_aliasing_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_input_naming_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_no_user_inp_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_output_dup_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_output_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_requires_grad_const_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_return_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_tensor_mutation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_tensor_with_non_functional_nested_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constant_tensor_with_non_functional_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constrain_decomp_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constrain_size_in_eager_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constrain_size_with_constrain_value_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_constrain_size_with_various_cases_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_conv_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_crop_like_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_cse_for_symint_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_custom_op_auto_functionalize_pre_dispatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_custom_op_auto_functionalize_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_custom_op_auto_warn_pre_dispatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_custom_op_preserve_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_custom_pytree_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_custom_tag_metadata_re_export_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_decomp_batch_norm_functional_predispatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_decomp_item_in_prim_after_decomposition_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_decomp_item_in_prim_before_decomposition_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_default_decomposition_core_cia_ops_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_1_2_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_basic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_integer_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_nested_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_out_of_order_repeat_derived_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_out_of_order_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_out_of_order_simplified_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_derived_dim_repeat_derived_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_detect_leak_nonstrict_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_detect_leak_nonstrict_with_stacktrace_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_detect_leak_strict_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_device_to_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_device_to_gpu_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_device_to_mutation_float_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_device_to_mutation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_device_to_static_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_1_2_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_auto_and_dim_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_dynamic_divisibility_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_dynamic_specialization_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_hint_range_violations_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dim_hint_ranges_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_disable_forced_specializations_errors_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_disable_forced_specializations_ok_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_distributed_all_gather_into_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_distributed_all_gather_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_distributed_all_reduce_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_distributed_all_to_all_single_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_distributed_reduce_scatter_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dont_duck_size_for_auto_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_double_lifted_constants_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_draft_export_checks_aliasing_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_draft_export_checks_mutation_list_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_draft_export_checks_mutation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_draft_export_checks_mutation_with_nan_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_draft_export_fake_kernel_inference_errors_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_draft_export_infers_fake_kernel_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_duplicate_modules_with_non_persistent_buffers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_lr_shift_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_bounds_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_builder_basic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_builder_kwargs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_builder_pytree_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_dataclass_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_inferred_basic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_serdes_generic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_serdes_user_errors_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_serdes_various_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_shapes_spec_with_pytree_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_dynamic_sym_round_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_ends_of_bounds_oblivious_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_error_does_not_reference_eager_fallback_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_error_when_passing_mutating_primitive_op_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_exception_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_expand_copy_export_handles_implicit_true_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_api_with_dynamic_shapes_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_as_backend_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_associative_scan_lifted_buffers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_associative_scan_symbol_dim_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_associative_scan_symbol_scandim_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_aten_to_unflatten_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_aten_to_unflatten_subclass_pre_dispatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_aten_to_unflatten_subclass_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_cond_symbool_pred_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_cond_warns_constant_pred_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_custom_decomp_table_basic_pop_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_custom_decomp_table_container_methods_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_custom_op_lib_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_custom_triton_kernel_mutable_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_custom_triton_kernel_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_cyclic_reference_leak_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_decomp_torture_case_1_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_decomp_torture_case_2_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_decomps_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_decomps_simple_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_dynamo_config_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_for_training_run_decomp_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_for_training_with_container_type_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_for_training_with_dynamic_shapes_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_for_training_with_mutation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_for_training_with_state_dict_hooks_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_default_kwargs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_keyword_only_args_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_kwargs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_pytree_kwargs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_var_keyword_args_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_var_keyword_pytree_args_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_func_with_var_postional_args_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_function_schema_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_graph_with_no_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_input_mutation_bug_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_input_mutation_dynamic_shape_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_input_mutation_static_shape_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_linear_preserve_dynamic_shape_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_max_nonstrict_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_max_onnx_reported_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_method_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_mod_constraints_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_module_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_preserve_linear_at_aot_level_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_preserve_linear_but_not_custom_op_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_scan_pytree_output_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_script_module_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_statically_known_true_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_then_compile_tensor_ctor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_autocast_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_fake_tensor_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_inline_constraints_complex_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_inline_constraints_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_set_grad_enabled_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_export_with_wrong_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_external_call_non_strict_real_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_fake_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_fake_weights_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_filter_traceback_frames_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_float_conversion_from_int_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_float_conversion_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_fqn_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_from_node_metadata_export_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_full_on_scalar_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_function_holding_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_hints_wrapper_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_hoo_inline_users_issue_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_if_functional_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_if_post_autograd_op_preserved_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_inline_script_class_method_recursive_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_inline_script_class_method_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_inline_script_function_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_inline_script_method_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_int_shape_specialization_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_intermediate_shape_comp_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_is_exporting_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_is_non_negative_check_function_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_is_nonzero_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_isnonzero_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_issue_113041_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_issue_157289_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_istft_op_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_keep_composite_ops_invalid_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_keep_composite_ops_linear_convd_for_training_ir_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_keep_composite_ops_linear_convd_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_kwarg_dynamic_shapes_diff_order_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_kwargs_reorder_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_layer_norm_unbacked_normalized_shape_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_layer_sharing_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_lazy_module_kwargs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_lifted_constants_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_linear_conv_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_malformed_fqn_from_source_name_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_map_buffers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_map_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_mask_nonzero_static_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_masked_select_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_math_pow_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_mismatched_dynamic_shapes_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_mixed_input_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_module_dict_key_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_module_input_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_module_input_subclasses_parameterization_nested_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_module_list_slice_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_module_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_module_with_dict_container_inp_out_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_modules_access_for_deleted_submodule_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_more_multidimensional_slicing_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_multidimensional_slicing_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_multinomial_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_multiple_definitions_same_name_dim_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nested_dynamic_shapes_spec_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nested_module_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nested_module_with_constant_buffer_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nested_module_with_init_buffer_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nested_module_with_parameter_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nn_module_stack_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nn_module_stack_shared_submodule_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_no_check_is_size_error_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_no_suggested_fixes_for_data_dependent_errors_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_no_tensor_computation_2_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_no_tensor_computation_3_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_no_tensor_computation_4_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_no_tensor_computation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_non_persistent_buffer_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_non_strict_dynamic_shapes_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_non_strict_dynamic_shapes_suggested_fixes_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_none_buffers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nonstrict_retrace_preserves_metadata_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nonzero_2_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_nonzero_dynamic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_not_registered_parameter_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_operator_aten_tensor_mode_variant_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_output_node_name_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_pad_sequence_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_param_util_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_partial_patched_forward_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_placeholder_naming_collisions_hoo_subgraphs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_placeholder_naming_collisions_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_placeholder_naming_order_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_placeholder_naming_order_variadic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_placeholder_update_preserving_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_predispatch_cond_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_predispatch_grad_wrappers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_preserve_module_call_signature_unflatten_specialization_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_preserve_requires_grad_placeholders_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_preserve_shape_dynamism_for_unused_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_profiling_code_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_python_asserts_with_sym_int_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_pytree_register_data_class_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_pytree_register_nested_data_class_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_range_constraints_with_replacement_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_real_tensor_alias_dtype_mismatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_real_tensor_bool_cast_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_real_tensor_errors_on_aliasing_custom_op_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_real_tensor_for_max_op_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_real_tensor_size_mismatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_redundant_assert_max_upper_bound_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_redundant_asserts_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_refine_dynamic_shapes_from_suggested_fixes_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_register_constant_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_repeat_interleave_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_replace_unbacked_with_very_large_upperbound_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_replaced_unbacked_bindings_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_reshape_view_helper_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_retracable_ep_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_retrace_pre_autograd_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_run_decomposition_supports_user_input_mutation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_run_decompositions_keep_metadata_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_run_decompositions_keep_tensor_constant_metadata_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_runtime_assert_for_prim_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_runtime_assert_for_prm_str_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_runtime_assert_with_size_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_sdpa_gqa_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_sequential_slicing_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_set_example_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_set_grad_as_side_effect_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_set_grad_empty_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_set_grad_unflatten_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_setgrad_lifted_tensor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_shared_submodule_nn_module_stack_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_simple_export_for_training_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_simple_unbacked_view_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_size_input_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_slice_nn_module_stack_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_solver_unsupported_sympy_function_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_specialize_derived_dim_roots_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_split_const_gm_with_lifted_constants_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_stack_trace_make_fx_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_stack_trace_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_state_primitives_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_state_shape_attribute_assignment_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_state_tensors_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_static_dim_constraints_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclass_nested_attr_access_complicated_metadata_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclass_nested_attr_access_const_metadata_not_top_level_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclass_nested_attr_access_const_metadata_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclass_nested_attr_access_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclass_nested_attr_access_submodule_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclasses_parameterization_nested_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_subclasses_parameterization_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_suggest_torch_checks_with_non_negative_check_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_suggest_torch_checks_with_regular_check_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_suggested_fixes_for_data_dependent_errors_basic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_suggested_fixes_new_roots_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_sym_float_operators_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_sym_or_sym_and_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_sym_sqrt_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symbool_item_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symfloat_item_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_input_additional_inputs_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_input_basic_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_input_ranges_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_input_shapes_collection_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_input_specialization_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_item_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_output_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_symint_tensor_return_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_tensor_attribute_zero_args_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_tensor_constant_aten_to_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_tensor_constant_with_wrapped_method_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_to_module_with_mutated_buffer_multiple_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_to_module_with_mutated_buffer_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_tolist_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_torch_check_eq_commutativity_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_torch_fn_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_trace_under_fake_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_train_eval_on_exported_preautograd_module_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_3d_matmul_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_bincount_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_bindings_for_divisible_u_symint_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_deferred_runtime_retrace_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_expand_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_infer_size_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_kth_value_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_linear_layer_norm_input_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_noncontig_lin_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_pad_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_scalar_constructor_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_slice_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_to_cond_passthrough_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_to_cond_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unbacked_unsqueeze_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_asserts_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_buffer_update_child2parent_swap_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_closure_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_isinstance_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_multiple_graphs_dispatch_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_multiple_graphs_preserve_signature_no_error_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_multiple_graphs_shared_submodule_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_multiple_graphs_state_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_no_unroll_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_placeholder_update_child2parent_swap_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_placeholder_update_grandchild2cousin_swap_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_5_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_6_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_buf_8_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_const_preserving_3_1_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_const_preserving_3_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_4_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_6_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_9_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_10_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_5_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_7_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unflatten_random_dag_preserving_4_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unused_aliases_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_unused_constant_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_use_embedding_twice_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_user_input_and_buffer_mutation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_vmap_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_while_loop_assert_separation_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_while_loop_index_assertions_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_while_loop_simple_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_while_loop_tensor_constant_idx_retraceability_nonstrict, test/export/test_retraceability.py::RetraceExportNonStrictTestExport::test_wrapper_module_retraceability_nonstrict
2025-09-07T06:59:45.3800100Z 
2025-09-07T06:59:47.4845720Z Running inductor/test_kernel_optimization 1/1 ... [2025-09-07 06:59:47.484343]
2025-09-07T06:59:47.4846610Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:59:47.4848810Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_kernel_optimization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:59:47.484651]
2025-09-07T06:59:47.5330520Z Running test_namedtensor 1/1 ... [2025-09-07 06:59:47.532910]
2025-09-07T06:59:47.5330810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:59:47.5332590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_namedtensor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:59:47.533159]
2025-09-07T06:59:49.9367620Z 
2025-09-07T06:59:49.9369190Z test_namedtensor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_namedtensor_1.1_11585e3aac0b6513_.log
2025-09-07T06:59:49.9388180Z Running 88 items in this shard: test/test_namedtensor.py::TestNamedTensor::test_aaa_must_run_first_check_experimental_warning, test/test_namedtensor.py::TestNamedTensor::test_addcmul_addcdiv, test/test_namedtensor.py::TestNamedTensor::test_addmm, test/test_namedtensor.py::TestNamedTensor::test_addmv, test/test_namedtensor.py::TestNamedTensor::test_align_as, test/test_namedtensor.py::TestNamedTensor::test_align_tensors, test/test_namedtensor.py::TestNamedTensor::test_align_tensors_two_inputs, test/test_namedtensor.py::TestNamedTensor::test_align_to, test/test_namedtensor.py::TestNamedTensor::test_align_to_ellipsis, test/test_namedtensor.py::TestNamedTensor::test_any_all, test/test_namedtensor.py::TestNamedTensor::test_as_strided, test/test_namedtensor.py::TestNamedTensor::test_as_strided_cuda, test/test_namedtensor.py::TestNamedTensor::test_autograd_ignores_names, test/test_namedtensor.py::TestNamedTensor::test_autograd_smoke, test/test_namedtensor.py::TestNamedTensor::test_autograd_warns_named_grad, test/test_namedtensor.py::TestNamedTensor::test_bernoulli, test/test_namedtensor.py::TestNamedTensor::test_big_tensor_repr_has_names, test/test_namedtensor.py::TestNamedTensor::test_binary_ops, test/test_namedtensor.py::TestNamedTensor::test_bitwise_not, test/test_namedtensor.py::TestNamedTensor::test_bmm, test/test_namedtensor.py::TestNamedTensor::test_cat, test/test_namedtensor.py::TestNamedTensor::test_cdist, test/test_namedtensor.py::TestNamedTensor::test_comparison_ops, test/test_namedtensor.py::TestNamedTensor::test_copy_transpose, test/test_namedtensor.py::TestNamedTensor::test_cummax_cummin, test/test_namedtensor.py::TestNamedTensor::test_detach, test/test_namedtensor.py::TestNamedTensor::test_diagonal, test/test_namedtensor.py::TestNamedTensor::test_dot, test/test_namedtensor.py::TestNamedTensor::test_equal, test/test_namedtensor.py::TestNamedTensor::test_expand, test/test_namedtensor.py::TestNamedTensor::test_factory_coverage, test/test_namedtensor.py::TestNamedTensor::test_factory_edge_cases, test/test_namedtensor.py::TestNamedTensor::test_flatten, test/test_namedtensor.py::TestNamedTensor::test_flatten_index_error, test/test_namedtensor.py::TestNamedTensor::test_flatten_nodims, test/test_namedtensor.py::TestNamedTensor::test_has_names, test/test_namedtensor.py::TestNamedTensor::test_index_fill, test/test_namedtensor.py::TestNamedTensor::test_info_smoke, test/test_namedtensor.py::TestNamedTensor::test_logcumsumexp, test/test_namedtensor.py::TestNamedTensor::test_logical_not, test/test_namedtensor.py::TestNamedTensor::test_logical_ops, test/test_namedtensor.py::TestNamedTensor::test_masked_fill, test/test_namedtensor.py::TestNamedTensor::test_masked_select, test/test_namedtensor.py::TestNamedTensor::test_matmul, test/test_namedtensor.py::TestNamedTensor::test_max_pooling, test/test_namedtensor.py::TestNamedTensor::test_max_pooling_without_names_does_not_warn, test/test_namedtensor.py::TestNamedTensor::test_mm, test/test_namedtensor.py::TestNamedTensor::test_mv, test/test_namedtensor.py::TestNamedTensor::test_no_jit_script_support, test/test_namedtensor.py::TestNamedTensor::test_no_jit_tracer_support, test/test_namedtensor.py::TestNamedTensor::test_no_multiprocessing_support, test/test_namedtensor.py::TestNamedTensor::test_no_pickle_support, test/test_namedtensor.py::TestNamedTensor::test_no_save_support, test/test_namedtensor.py::TestNamedTensor::test_noncontig_contiguous, test/test_namedtensor.py::TestNamedTensor::test_none_names_refcount, test/test_namedtensor.py::TestNamedTensor::test_nyi_dimname_overload_msg, test/test_namedtensor.py::TestNamedTensor::test_out_fn_semantics, test/test_namedtensor.py::TestNamedTensor::test_pow_special, test/test_namedtensor.py::TestNamedTensor::test_py3_ellipsis, test/test_namedtensor.py::TestNamedTensor::test_reduction_fns, test/test_namedtensor.py::TestNamedTensor::test_refine_names, test/test_namedtensor.py::TestNamedTensor::test_rename, test/test_namedtensor.py::TestNamedTensor::test_rename_, test/test_namedtensor.py::TestNamedTensor::test_rename_globber, test/test_namedtensor.py::TestNamedTensor::test_rename_rename_map, test/test_namedtensor.py::TestNamedTensor::test_repr, test/test_namedtensor.py::TestNamedTensor::test_resize, test/test_namedtensor.py::TestNamedTensor::test_select, test/test_namedtensor.py::TestNamedTensor::test_select_cuda, test/test_namedtensor.py::TestNamedTensor::test_set_names_property, test/test_namedtensor.py::TestNamedTensor::test_size, test/test_namedtensor.py::TestNamedTensor::test_split_fns_propagates_names, test/test_namedtensor.py::TestNamedTensor::test_squeeze, test/test_namedtensor.py::TestNamedTensor::test_stride, test/test_namedtensor.py::TestNamedTensor::test_support_device_named_grad, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_lists, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_named_tensor, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_numpy, test/test_namedtensor.py::TestNamedTensor::test_tensor_from_tensor, test/test_namedtensor.py::TestNamedTensor::test_tensor_grad_is_unnamed, test/test_namedtensor.py::TestNamedTensor::test_transpose_variants, test/test_namedtensor.py::TestNamedTensor::test_trivial, test/test_namedtensor.py::TestNamedTensor::test_unary_propagate_names_fns, test/test_namedtensor.py::TestNamedTensor::test_unflatten, test/test_namedtensor.py::TestNamedTensor::test_unsupported_op_error_msg, test/test_namedtensor.py::TestNamedTensor::test_using_seen_interned_string_doesnt_bump_refcount, test/test_namedtensor.py::TestNamedTensor::test_using_unseen_interned_string_bumps_refcount_permanently, test/test_namedtensor.py::TestNamedTensor::test_using_unseen_uninterned_string_refcounts
2025-09-07T06:59:49.9402540Z 
2025-09-07T06:59:50.5515470Z 
2025-09-07T06:59:50.5517060Z inductor/test_kernel_optimization 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_kernel_optimization_1.1_9c05ac01b84c0721_.log
2025-09-07T06:59:50.5518220Z Running 0 items in this shard:
2025-09-07T06:59:50.5518370Z 
2025-09-07T06:59:52.1834310Z Running dynamo/test_autograd_function 1/1 ... [2025-09-07 06:59:52.183218]
2025-09-07T06:59:52.1835140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:59:52.1837300Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_autograd_function.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:59:52.183493]
2025-09-07T06:59:52.8682730Z Running inductor/test_alignment 1/1 ... [2025-09-07 06:59:52.868091]
2025-09-07T06:59:52.8683300Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T06:59:52.8684730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_alignment.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 06:59:52.868359]
2025-09-07T06:59:59.1629350Z 
2025-09-07T06:59:59.1630500Z dynamo/test_autograd_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_autograd_function_1.1_fb8f2b5a1639c0fa_.log
2025-09-07T06:59:59.1641370Z Running 40 items in this shard: test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_allow_in_graph, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_amp_custom_fwd_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_assert_is_contiguous_after_matmul, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_assert_is_contiguous_on_grad_output_directly, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_autograd_function_equivalence, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_autograd_function_has_graph_break, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_backward_returns_none_for_tensor_input, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_classmethod, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_data_in_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_default_values, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_enum_arg, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_forward_returns_constant, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_function_context_mark_and_save, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_function_context_save_and_mark, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_function_with_bound_free_variable, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_fwd_no_grad, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_fwd_propogation_correctness, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_linear_setup_context, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_mark_multi_output_non_differentiable, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_mark_non_differentiable, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_materialize_grad, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_multi_output, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_multiple_different_non_tensor_inputs, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_needs_input_grad, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_once_differentiable, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_print_in_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_repeated_save_for_backward_calls, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_requires_grad_in_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_save_for_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_set_materialize_grads_no_graph_break, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_smoke_from_test_autograd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_smuggle_symint_issue_111031, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_smuggle_tensor_and_complex_structures, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_stride_in_bwd, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_tensor_list_as_input, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_tensor_subclass_intermediary_input, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_triton_kernel_basic, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_triton_kernel_multiple_out, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_tuple_arg, test/dynamo/test_autograd_function.py::AutogradFunctionTests::test_user_defined_object_as_input
2025-09-07T06:59:59.1651320Z 
2025-09-07T07:00:01.2350920Z Running dynamo/test_config 1/1 ... [2025-09-07 07:00:01.234878]
2025-09-07T07:00:01.2351670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:00:01.2353760Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:00:01.235161]
2025-09-07T07:00:04.2705920Z 
2025-09-07T07:00:04.2706890Z dynamo/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_config_1.1_27ad302c745427bd_.log
2025-09-07T07:00:04.2709390Z Running 5 items in this shard: test/dynamo/test_config.py::ConfigTests::test_automatic_dynamic, test/dynamo/test_config.py::ConfigTests::test_config_compile_ignored, test/dynamo/test_config.py::ConfigTests::test_config_hash, test/dynamo/test_config.py::ConfigTests::test_no_assume_static_by_default, test/dynamo/test_config.py::ConfigTests::test_no_automatic_dynamic
2025-09-07T07:00:04.2710360Z 
2025-09-07T07:00:04.4235030Z 
2025-09-07T07:00:04.4235570Z inductor/test_alignment 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_alignment_1.1_ca574d7134aec2dc_.log
2025-09-07T07:00:04.4240500Z Running 12 items in this shard: test/inductor/test_alignment.py::CpuTests::test_Q4_K_dequantization_cpu, test/inductor/test_alignment.py::CpuTests::test_alignment_without_custom_op_cpu, test/inductor/test_alignment.py::CpuTests::test_incorrect_meta_for_custom_op_2d_cpu, test/inductor/test_alignment.py::CpuTests::test_no_align_for_custom_op_2d_cpu, test/inductor/test_alignment.py::CpuTests::test_no_align_for_custom_op_cpu, test/inductor/test_alignment.py::CpuTests::test_slice_cpu, test/inductor/test_alignment.py::CpuTests::test_slice_view_dtype_size_1024_cpu, test/inductor/test_alignment.py::CpuTests::test_slice_view_dtype_size_1048576_cpu, test/inductor/test_alignment.py::CpuTests::test_slice_view_dtype_size_128_cpu, test/inductor/test_alignment.py::CpuTests::test_unaligned_input_2d_cpu, test/inductor/test_alignment.py::CpuTests::test_unaligned_input_cpu, test/inductor/test_alignment.py::CpuTests::test_view_dtype_slice_cpu
2025-09-07T07:00:04.4242930Z 
2025-09-07T07:00:06.5652780Z Running dynamo/test_compile 1/1 ... [2025-09-07 07:00:06.565075]
2025-09-07T07:00:06.5653530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:00:06.5655660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_compile.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:00:06.565354]
2025-09-07T07:00:06.6618450Z Running test_openmp 1/1 ... [2025-09-07 07:00:06.661699]
2025-09-07T07:00:06.6618710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:00:06.6620760Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_openmp.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:00:06.661972]
2025-09-07T07:00:12.0148260Z 
2025-09-07T07:00:12.0149700Z dynamo/test_compile 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_compile_1.1_4a4389e6e9c6ca58_.log
2025-09-07T07:00:12.0154810Z Running 17 items in this shard: test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_callback, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_callback_with_graph_break, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_constant_hasattr_fail, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_evnum_hasattr_fail, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_name_error, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_nn_module_invalid_method, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compilation_tensor_invalid_method, test/dynamo/test_compile.py::InPlaceCompilationTests::test_compile_eager_options, test/dynamo/test_compile.py::InPlaceCompilationTests::test_jit_save, test/dynamo/test_compile.py::InPlaceCompilationTests::test_list_bad_access, test/dynamo/test_compile.py::InPlaceCompilationTests::test_overwrite_call_impl, test/dynamo/test_compile.py::InPlaceCompilationTests::test_save, test/dynamo/test_compile.py::InPlaceCompilationTests::test_state_dict_save, test/dynamo/test_compile.py::InPlaceCompilationTests::test_to_sparse_to_dense_with_graph_break, test/dynamo/test_compile.py::InPlaceCompilationTests::test_torch_script_compilation, test/dynamo/test_compile.py::PublicTorchCompilerTests::test_dynamo_signatures
2025-09-07T07:00:12.0158710Z 
2025-09-07T07:00:12.0752700Z 
2025-09-07T07:00:12.0753220Z test_openmp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_openmp_1.1_87eff1c59119dde3_.log
2025-09-07T07:00:12.0758800Z Running 2 items in this shard: test/test_openmp.py::TestOpenMP_ParallelFor::test_n_threads, test/test_openmp.py::TestOpenMP_ParallelFor::test_one_thread
2025-09-07T07:00:12.0759220Z 
2025-09-07T07:00:14.2386560Z Running functorch/test_ops 1/2 ... [2025-09-07 07:00:14.238447]
2025-09-07T07:00:14.2387740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:00:14.2389930Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'functorch/test_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=2', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:00:14.238737]
2025-09-07T07:00:14.3192230Z Running cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 ... [2025-09-07 07:00:14.319055]
2025-09-07T07:00:14.3192690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:00:14.3194390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:00:14.319314]
2025-09-07T07:00:16.4529040Z 
2025-09-07T07:00:16.4529970Z cpp_extensions/python_agnostic_extension/test/test_python_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.python_agnostic_extension.test.test_python_agnostic_1.1_a45ab3fc2c79635c_.log
2025-09-07T07:00:16.4531500Z Running 0 items in this shard:
2025-09-07T07:00:16.4531900Z 
2025-09-07T07:00:18.7418920Z Running inductor/test_cooperative_reductions 1/1 ... [2025-09-07 07:00:18.741572]
2025-09-07T07:00:18.7424760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:00:18.7427330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_cooperative_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:00:18.742025]
2025-09-07T07:00:22.2478890Z 
2025-09-07T07:00:22.2480730Z inductor/test_cooperative_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cooperative_reductions_1.1_9b93cc9f3aa1a5cd_.log
2025-09-07T07:00:24.6239740Z 
2025-09-07T07:00:24.6241360Z Running inductor/test_cudacodecache 1/1 ... [2025-09-07 07:00:24.623815]
2025-09-07T07:00:24.6247210Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:00:24.6249820Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_cudacodecache.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:00:24.624159]
2025-09-07T07:00:27.4180220Z 
2025-09-07T07:00:27.4181290Z inductor/test_cudacodecache 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_cudacodecache_1.1_a6594c2899eef044_.log
2025-09-07T07:00:27.4181780Z 
2025-09-07T07:00:29.5176610Z Running inductor/test_halide 1/1 ... [2025-09-07 07:00:29.517458]
2025-09-07T07:00:29.5177630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:00:29.5178610Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_halide.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:00:29.517712]
2025-09-07T07:00:32.4842040Z 
2025-09-07T07:00:32.4842930Z inductor/test_halide 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_halide_1.1_20a0feb4001cc478_.log
2025-09-07T07:00:34.5746970Z 
2025-09-07T07:00:34.5747700Z Running inductor/test_multi_kernel 1/1 ... [2025-09-07 07:00:34.574567]
2025-09-07T07:00:34.5748480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:00:34.5750630Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_multi_kernel.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:00:34.574838]
2025-09-07T07:00:37.3466850Z 
2025-09-07T07:00:37.3467660Z inductor/test_multi_kernel 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_multi_kernel_1.1_b67673a0887a9406_.log
2025-09-07T07:00:37.3468420Z 
2025-09-07T07:00:37.7557850Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-09-07T07:00:37.7558210Z Uploading artifacts took 0.00 seconds
2025-09-07T07:00:39.7013350Z Running inductor/test_loop_ordering 1/1 ... [2025-09-07 07:00:39.701147]
2025-09-07T07:00:39.7013700Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:00:39.7015960Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_loop_ordering.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:00:39.701480]
2025-09-07T07:00:42.4996560Z 
2025-09-07T07:00:42.4997520Z inductor/test_loop_ordering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_loop_ordering_1.1_463cc3b043d5f0d3_.log
2025-09-07T07:00:42.4997990Z 
2025-09-07T07:00:44.6061190Z Running inductor/test_perf 1/1 ... [2025-09-07 07:00:44.605905]
2025-09-07T07:00:44.6061940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:00:44.6064010Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_perf.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:00:44.606202]
2025-09-07T07:00:47.4319520Z 
2025-09-07T07:00:47.4320030Z inductor/test_perf 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_perf_1.1_63361f230815eda4_.log
2025-09-07T07:00:47.4320450Z 
2025-09-07T07:00:49.5200400Z Running test_jit 1/1 ... [2025-09-07 07:00:49.519707]
2025-09-07T07:00:49.5201090Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:00:49.5203130Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_jit.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:00:49.519976]
2025-09-07T07:01:34.6081500Z 
2025-09-07T07:01:34.6082890Z test_jit 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_1.1_f742b5c70c87d36a_.log
2025-09-07T07:01:34.6481470Z Running 2461 items in this shard: test/test_jit.py::TestTracer::test_call_traced_fn_from_traced_module, test/test_jit.py::TestTracer::test_call_traced_module_from_traced_module, test/test_jit.py::TestTracer::test_canonicalize_tensor_iterator, test/test_jit.py::TestTracer::test_constant, test/test_jit.py::TestTracer::test_conv, test/test_jit.py::TestTracer::test_export_no_reorder, test/test_jit.py::TestTracer::test_force_outplace_check_fill, test/test_jit.py::TestTracer::test_force_outplace_check_zero, test/test_jit.py::TestTracer::test_ge, test/test_jit.py::TestTracer::test_ge_cuda, test/test_jit.py::TestTracer::test_ge_optimized, test/test_jit.py::TestTracer::test_ge_unoptimized, test/test_jit.py::TestTracer::test_index_put, test/test_jit.py::TestTracer::test_index_put_trace_with_view, test/test_jit.py::TestTracer::test_index_put_trace_without_view, test/test_jit.py::TestTracer::test_inplace_check, test/test_jit.py::TestTracer::test_inplace_copy, test/test_jit.py::TestTracer::test_inplace_copy_force_outplace, test/test_jit.py::TestTracer::test_inplace_flags, test/test_jit.py::TestTracer::test_inplace_transplant, test/test_jit.py::TestTracer::test_inplace_warn, test/test_jit.py::TestTracer::test_input_dict_checkTrace_mut, test/test_jit.py::TestTracer::test_input_dict_empty, test/test_jit.py::TestTracer::test_input_dict_empty_list, test/test_jit.py::TestTracer::test_input_dict_insertion_order, test/test_jit.py::TestTracer::test_input_dict_of_dicts, test/test_jit.py::TestTracer::test_input_dict_of_lists, test/test_jit.py::TestTracer::test_input_dict_recursive, test/test_jit.py::TestTracer::test_input_dict_remembers_keys, test/test_jit.py::TestTracer::test_input_dict_unify, test/test_jit.py::TestTracer::test_input_flatten, test/test_jit.py::TestTracer::test_input_list_mixed_type, test/test_jit.py::TestTracer::test_input_list_of_tuples, test/test_jit.py::TestTracer::test_input_list_toplevel_flatten, test/test_jit.py::TestTracer::test_input_list_toplevel_flatten_direct, test/test_jit.py::TestTracer::test_input_tuple_of_dicts, test/test_jit.py::TestTracer::test_interpolate_trace, test/test_jit.py::TestTracer::test_large_nbr_kernel_args, test/test_jit.py::TestTracer::test_lhs_index_fails, test/test_jit.py::TestTracer::test_lhs_index_trivial, test/test_jit.py::TestTracer::test_max_pool, test/test_jit.py::TestTracer::test_nested_inplace, test/test_jit.py::TestTracer::test_non_tensor_tracing, test/test_jit.py::TestTracer::test_output_unflatten, test/test_jit.py::TestTracer::test_python_function, test/test_jit.py::TestTracer::test_python_function_tup, test/test_jit.py::TestTracer::test_repeated_input, test/test_jit.py::TestTracer::test_repeated_output, test/test_jit.py::TestTracer::test_shared_param, test/test_jit.py::TestTracer::test_simple, test/test_jit.py::TestTracer::test_tensor_with_grad_as_constant, test/test_jit.py::TestTracer::test_trace_aliased_parameter, test/test_jit.py::TestTracer::test_trace_annotation, test/test_jit.py::TestTracer::test_trace_arange, test/test_jit.py::TestTracer::test_trace_arange_with_grad, test/test_jit.py::TestTracer::test_trace_autograd_function, test/test_jit.py::TestTracer::test_trace_casts, test/test_jit.py::TestTracer::test_trace_checker_control_flow, test/test_jit.py::TestTracer::test_trace_checker_dot_data, test/test_jit.py::TestTracer::test_trace_checker_dropout_notrain, test/test_jit.py::TestTracer::test_trace_checker_dropout_train, test/test_jit.py::TestTracer::test_trace_checker_inplace_on_view, test/test_jit.py::TestTracer::test_trace_checker_memoization, test/test_jit.py::TestTracer::test_trace_checker_slice_lhs, test/test_jit.py::TestTracer::test_trace_checking_with_deprecated_name, test/test_jit.py::TestTracer::test_trace_checking_with_global_name, test/test_jit.py::TestTracer::test_trace_contiguous, test/test_jit.py::TestTracer::test_trace_contiguous_short_circuit, test/test_jit.py::TestTracer::test_trace_detach, test/test_jit.py::TestTracer::test_trace_detach_inplace, test/test_jit.py::TestTracer::test_trace_detach_inplace_redispatch, test/test_jit.py::TestTracer::test_trace_detach_redispatch, test/test_jit.py::TestTracer::test_trace_dict_input, test/test_jit.py::TestTracer::test_trace_dict_output, test/test_jit.py::TestTracer::test_trace_export_fns, test/test_jit.py::TestTracer::test_trace_export_fns_recursive, test/test_jit.py::TestTracer::test_trace_fork_join_and_module, test/test_jit.py::TestTracer::test_trace_full_dynamic_shape, test/test_jit.py::TestTracer::test_trace_func_argument_names_captured, test/test_jit.py::TestTracer::test_trace_index, test/test_jit.py::TestTracer::test_trace_index_constant, test/test_jit.py::TestTracer::test_trace_indexed_assignment, test/test_jit.py::TestTracer::test_trace_inline_shape, test/test_jit.py::TestTracer::test_trace_inverse, test/test_jit.py::TestTracer::test_trace_invert_module_hierarchy, test/test_jit.py::TestTracer::test_trace_legacy_ctor, test/test_jit.py::TestTracer::test_trace_module_argument_names_captured, test/test_jit.py::TestTracer::test_trace_modulelist, test/test_jit.py::TestTracer::test_trace_multi_output_function, test/test_jit.py::TestTracer::test_trace_namedtuple, test/test_jit.py::TestTracer::test_trace_nested_datatypes, test/test_jit.py::TestTracer::test_trace_nested_fn, test/test_jit.py::TestTracer::test_trace_no_duplicated_lifted_input_output, test/test_jit.py::TestTracer::test_trace_numel, test/test_jit.py::TestTracer::test_trace_optioanl_dtype, test/test_jit.py::TestTracer::test_trace_optional, test/test_jit.py::TestTracer::test_trace_out_operator_with_two_output, test/test_jit.py::TestTracer::test_trace_partial_func_argument_names_captured, test/test_jit.py::TestTracer::test_trace_random, test/test_jit.py::TestTracer::test_trace_records_names, test/test_jit.py::TestTracer::test_trace_save, test/test_jit.py::TestTracer::test_trace_save_load_copy, test/test_jit.py::TestTracer::test_trace_single_tuple, test/test_jit.py::TestTracer::test_trace_size, test/test_jit.py::TestTracer::test_trace_size_with_grad, test/test_jit.py::TestTracer::test_trace_skip_none_submodule, test/test_jit.py::TestTracer::test_trace_slice, test/test_jit.py::TestTracer::test_trace_slice_expr_complete_type, test/test_jit.py::TestTracer::test_trace_slice_full_dim, test/test_jit.py::TestTracer::test_trace_slice_setitem_dynamic_shape, test/test_jit.py::TestTracer::test_trace_slice_with_grad, test/test_jit.py::TestTracer::test_trace_tensor_factory, test/test_jit.py::TestTracer::test_trace_topk, test/test_jit.py::TestTracer::test_trace_tuple, test/test_jit.py::TestTracer::test_trace_variable_instantiation, test/test_jit.py::TestTracer::test_trace_warn, test/test_jit.py::TestTracer::test_trace_with_conditional_property, test/test_jit.py::TestTracer::test_trace_with_nested_strided_tensor_output, test/test_jit.py::TestTracer::test_trace_with_nested_tensor_list_output, test/test_jit.py::TestTracer::test_trace_with_number_list_output, test/test_jit.py::TestTracer::test_trace_with_tensor_list_output, test/test_jit.py::TestTracer::test_trace_with_tuple_tensor, test/test_jit.py::TestTracer::test_traced_module_cuda, test/test_jit.py::TestTracer::test_tracing_backward_hook_error, test/test_jit.py::TestTracer::test_tracing_hooks, test/test_jit.py::TestTracer::test_tracing_multiple_methods, test/test_jit.py::TestTracer::test_type_same_device, test/test_jit.py::TestTracer::test_typeas_trace_check, test/test_jit.py::TestTracer::test_wrapped_number, test/test_jit.py::TestMixTracingScripting::test_call_script_fn_from_traced_module, test/test_jit.py::TestMixTracingScripting::test_call_script_module_from_traced_module, test/test_jit.py::TestMixTracingScripting::test_call_traced_fn_from_script_fn, test/test_jit.py::TestMixTracingScripting::test_call_traced_mod_from_script_fn, test/test_jit.py::TestMixTracingScripting::test_call_tracing_fn_from_script_module, test/test_jit.py::TestMixTracingScripting::test_call_tracing_mod_from_script_module, test/test_jit.py::TestMixTracingScripting::test_jit_trace_callfunction_return_shapes, test/test_jit.py::TestMixTracingScripting::test_script_inline_trace_multiple_args, test/test_jit.py::TestMixTracingScripting::test_trace_dict_mix_script, test/test_jit.py::TestMixTracingScripting::test_trace_hierarchy, test/test_jit.py::TestMixTracingScripting::test_trace_linear, test/test_jit.py::TestMixTracingScripting::test_trace_mixed_by_script_with_dict_output, test/test_jit.py::TestMixTracingScripting::test_trace_of_script, test/test_jit.py::TestMixTracingScripting::test_trace_parameter, test/test_jit.py::TestMixTracingScripting::test_trace_returning_dict_with_tensor_tuples, test/test_jit.py::TestMixTracingScripting::test_trace_script, test/test_jit.py::TestMixTracingScripting::test_trace_script_returning_complex_dict, test/test_jit.py::TestMixTracingScripting::test_trace_with_size, test/test_jit.py::TestMixTracingScripting::test_traced_module_contains_scripted_interface_types, test/test_jit.py::TestMixTracingScripting::test_traced_module_implements_interface, test/test_jit.py::TestMixTracingScripting::test_tracing_indexing, test/test_jit.py::TestMixTracingScripting::test_tracing_slicing, test/test_jit.py::TestRecursiveScript::test_attributes, test/test_jit.py::TestRecursiveScript::test_class_compile, test/test_jit.py::TestRecursiveScript::test_constants_with_final, test/test_jit.py::TestRecursiveScript::test_dir, test/test_jit.py::TestRecursiveScript::test_error_stack, test/test_jit.py::TestRecursiveScript::test_error_stack_annotation, test/test_jit.py::TestRecursiveScript::test_error_stack_class, test/test_jit.py::TestRecursiveScript::test_error_stack_module, test/test_jit.py::TestRecursiveScript::test_failed_function_compilation, test/test_jit.py::TestRecursiveScript::test_function_attribute_in_submodule, test/test_jit.py::TestRecursiveScript::test_ignore_class, test/test_jit.py::TestRecursiveScript::test_inferred_nonetype, test/test_jit.py::TestRecursiveScript::test_init_error, test/test_jit.py::TestRecursiveScript::test_inner_traced_module, test/test_jit.py::TestRecursiveScript::test_iterable_modules, test/test_jit.py::TestRecursiveScript::test_method_call, test/test_jit.py::TestRecursiveScript::test_module_basic, test/test_jit.py::TestRecursiveScript::test_module_function_export, test/test_jit.py::TestRecursiveScript::test_module_name, test/test_jit.py::TestRecursiveScript::test_module_repr, test/test_jit.py::TestRecursiveScript::test_optional_module, test/test_jit.py::TestRecursiveScript::test_override_instance_method_ignore, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_basic, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_cycle, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_escape_hatch, test/test_jit.py::TestRecursiveScript::test_prepare_scriptable_iterable_modules, test/test_jit.py::TestRecursiveScript::test_python_function_attribute, test/test_jit.py::TestRecursiveScript::test_repeated_error_stack, test/test_jit.py::TestRecursiveScript::test_script_after_eval, test/test_jit.py::TestRecursiveScript::test_script_basic, test/test_jit.py::TestRecursiveScript::test_script_function_attribute, test/test_jit.py::TestRecursiveScript::test_script_loaded_module, test/test_jit.py::TestRecursiveScript::test_thread_safe_error_stacks, test/test_jit.py::TestTypeSharing::test_assign_python_attr, test/test_jit.py::TestTypeSharing::test_basic, test/test_jit.py::TestTypeSharing::test_builtin_function_different, test/test_jit.py::TestTypeSharing::test_builtin_function_same, test/test_jit.py::TestTypeSharing::test_constants, test/test_jit.py::TestTypeSharing::test_diff_attr_values, test/test_jit.py::TestTypeSharing::test_failed_attribute_compilation, test/test_jit.py::TestTypeSharing::test_ignored_fns, test/test_jit.py::TestTypeSharing::test_linear, test/test_jit.py::TestTypeSharing::test_loaded_modules_work, test/test_jit.py::TestTypeSharing::test_module_dict_same_type_different_name, test/test_jit.py::TestTypeSharing::test_mutate_attr_value, test/test_jit.py::TestTypeSharing::test_param_vs_attribute, test/test_jit.py::TestTypeSharing::test_python_function_attribute_different, test/test_jit.py::TestTypeSharing::test_python_function_attribute_same, test/test_jit.py::TestTypeSharing::test_same_but_different_classes, test/test_jit.py::TestTypeSharing::test_script_function_attribute_different, test/test_jit.py::TestTypeSharing::test_script_function_attribute_same, test/test_jit.py::TestTypeSharing::test_script_module_containing_traced_module, test/test_jit.py::TestTypeSharing::test_submodules, test/test_jit.py::TestTypeSharing::test_tracing_gives_different_types, test/test_jit.py::TestTypeSharing::test_type_not_shared_ignored_attributes, test/test_jit.py::TestTypeSharing::test_type_shared_ignored_attributes, test/test_jit.py::TestTypeSharing::test_type_sharing_define_in_init, test/test_jit.py::TestTypeSharing::test_type_sharing_disabled, test/test_jit.py::TestLogging::test_bump_numeric_counter, test/test_jit.py::TestLogging::test_counter_aggregation, test/test_jit.py::TestLogging::test_logging_levels_set, test/test_jit.py::TestLogging::test_time_measurement_counter, test/test_jit.py::TestLogging::test_time_measurement_counter_script, test/test_jit.py::TestLogging::test_trace_numeric_counter, test/test_jit.py::TestBackends::test_errors, test/test_jit.py::TestBackends::test_execution, test/test_jit.py::TestBackends::test_save_load, test/test_jit.py::TestBackendsWithCompiler::test_errors, test/test_jit.py::TestBackendsWithCompiler::test_execution, test/test_jit.py::TestNnapiBackend::test_adaptive_avg_pool2d, test/test_jit.py::TestNnapiBackend::test_avg_pool2d, test/test_jit.py::TestNnapiBackend::test_cat, test/test_jit.py::TestNnapiBackend::test_compile_spec_santiy, test/test_jit.py::TestNnapiBackend::test_conv2d, test/test_jit.py::TestNnapiBackend::test_conv2d_transpose, test/test_jit.py::TestNnapiBackend::test_dequantize, test/test_jit.py::TestNnapiBackend::test_detach, test/test_jit.py::TestNnapiBackend::test_flatten, test/test_jit.py::TestNnapiBackend::test_hardtanh, test/test_jit.py::TestNnapiBackend::test_linear, test/test_jit.py::TestNnapiBackend::test_log_softmax, test/test_jit.py::TestNnapiBackend::test_max_pool2d, test/test_jit.py::TestNnapiBackend::test_mean, test/test_jit.py::TestNnapiBackend::test_multi_output, test/test_jit.py::TestNnapiBackend::test_pointwise_binary, test/test_jit.py::TestNnapiBackend::test_pointwise_binary_const, test/test_jit.py::TestNnapiBackend::test_pointwise_unary, test/test_jit.py::TestNnapiBackend::test_prelu, test/test_jit.py::TestNnapiBackend::test_qadd, test/test_jit.py::TestNnapiBackend::test_qlinear, test/test_jit.py::TestNnapiBackend::test_quantize, test/test_jit.py::TestNnapiBackend::test_reshape, test/test_jit.py::TestNnapiBackend::test_seblock_mul, test/test_jit.py::TestNnapiBackend::test_slice, test/test_jit.py::TestNnapiBackend::test_softmax, test/test_jit.py::TestNnapiBackend::test_tensor_input, test/test_jit.py::TestNnapiBackend::test_to, test/test_jit.py::TestNnapiBackend::test_unsqueeze, test/test_jit.py::TestNnapiBackend::test_upsample_nearest2d, test/test_jit.py::TestList::test_comprehension_iterable, test/test_jit.py::TestList::test_comprehension_out_type_not_in_type, test/test_jit.py::TestList::test_comprehensions_basic, test/test_jit.py::TestList::test_comprehensions_basic_float, test/test_jit.py::TestList::test_comprehensions_two_comps, test/test_jit.py::TestList::test_copy_list_immutable, test/test_jit.py::TestList::test_copy_list_mutable, test/test_jit.py::TestList::test_del, test/test_jit.py::TestList::test_dict_keyword_is_correctly_typed, test/test_jit.py::TestList::test_dict_keyword_with_dict_comprehension, test/test_jit.py::TestList::test_dict_keyword_with_dict_comprehension_and_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_empty_dict_comprehension, test/test_jit.py::TestList::test_dict_keyword_with_empty_iterable, test/test_jit.py::TestList::test_dict_keyword_with_internal_aggregate_function, test/test_jit.py::TestList::test_dict_keyword_with_iterable, test/test_jit.py::TestList::test_dict_keyword_with_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_kwargs_using_container_values, test/test_jit.py::TestList::test_dict_keyword_with_mapping, test/test_jit.py::TestList::test_dict_keyword_with_mapping_and_kwargs, test/test_jit.py::TestList::test_dict_keyword_with_mismatched_annotations, test/test_jit.py::TestList::test_dict_keyword_with_nested_call, test/test_jit.py::TestList::test_dict_keyword_with_previously_declared_variable, test/test_jit.py::TestList::test_dict_keyword_with_previously_declared_variable_and_kwargs, test/test_jit.py::TestList::test_extend_list_immutable, test/test_jit.py::TestList::test_extend_list_mutable, test/test_jit.py::TestList::test_in_check, test/test_jit.py::TestList::test_list_bool_conversion, test/test_jit.py::TestList::test_list_count, test/test_jit.py::TestList::test_list_count_not_existing, test/test_jit.py::TestList::test_list_gather, test/test_jit.py::TestList::test_list_index, test/test_jit.py::TestList::test_list_index_not_existing, test/test_jit.py::TestList::test_list_keyword, test/test_jit.py::TestList::test_list_len, test/test_jit.py::TestList::test_list_literal, test/test_jit.py::TestList::test_list_none, test/test_jit.py::TestList::test_list_ops, test/test_jit.py::TestList::test_list_slice, test/test_jit.py::TestList::test_list_sort, test/test_jit.py::TestList::test_list_unification_hint, test/test_jit.py::TestList::test_list_variance, test/test_jit.py::TestList::test_min_bool_list, test/test_jit.py::TestList::test_min_max_list, test/test_jit.py::TestList::test_min_max_single_list, test/test_jit.py::TestList::test_mutable_list_append, test/test_jit.py::TestList::test_mutable_list_append_2, test/test_jit.py::TestList::test_mutable_list_append_if, test/test_jit.py::TestList::test_mutable_list_append_if_else, test/test_jit.py::TestList::test_mutable_list_append_loop, test/test_jit.py::TestList::test_mutable_list_append_loop_if, test/test_jit.py::TestList::test_mutable_list_clear, test/test_jit.py::TestList::test_mutable_list_clear_empty, test/test_jit.py::TestList::test_mutable_list_function_inline, test/test_jit.py::TestList::test_mutable_list_insert, test/test_jit.py::TestList::test_mutable_list_insert_neg_out_of_bounds, test/test_jit.py::TestList::test_mutable_list_insert_negative, test/test_jit.py::TestList::test_mutable_list_insert_out_of_bounds, test/test_jit.py::TestList::test_mutable_list_nested_loop, test/test_jit.py::TestList::test_mutable_list_pop, test/test_jit.py::TestList::test_mutable_list_pop2, test/test_jit.py::TestList::test_mutable_list_pop_at, test/test_jit.py::TestList::test_mutable_list_pop_at2, test/test_jit.py::TestList::test_mutable_list_pop_at_negative, test/test_jit.py::TestList::test_mutable_list_pop_at_negative2, test/test_jit.py::TestList::test_mutable_list_pop_empty, test/test_jit.py::TestList::test_mutable_list_pop_slice, test/test_jit.py::TestList::test_mutable_list_remove, test/test_jit.py::TestList::test_mutable_list_remove2, test/test_jit.py::TestList::test_mutable_list_remove_not_existing, test/test_jit.py::TestList::test_mutable_list_remove_tensor, test/test_jit.py::TestList::test_mutable_list_reverse, test/test_jit.py::TestList::test_mutable_list_reverse_empty, test/test_jit.py::TestList::test_mutable_tensor_list_reverse, test/test_jit.py::TestList::test_no_element_type_annotation, test/test_jit.py::TestList::test_slice_index, test/test_jit.py::TestList::test_tensor_list_count, test/test_jit.py::TestList::test_tensor_list_count_not_existing, test/test_jit.py::TestList::test_tensor_list_index, test/test_jit.py::TestList::test_tensor_list_index_not_existing, test/test_jit.py::TestList::test_to_list, test/test_jit.py::TestList::test_to_list_gpu, test/test_jit.py::TestDict::test_aug_assign, test/test_jit.py::TestDict::test_basic, test/test_jit.py::TestDict::test_clear, test/test_jit.py::TestDict::test_copy, test/test_jit.py::TestDict::test_del, test/test_jit.py::TestDict::test_dict_bool_conversion, test/test_jit.py::TestDict::test_dict_preserves_order, test/test_jit.py::TestDict::test_dict_to_python, test/test_jit.py::TestDict::test_dict_variance, test/test_jit.py::TestDict::test_get, test/test_jit.py::TestDict::test_get_boolkey, test/test_jit.py::TestDict::test_items, test/test_jit.py::TestDict::test_key_type, test/test_jit.py::TestDict::test_keys, test/test_jit.py::TestDict::test_len, test/test_jit.py::TestDict::test_loop, test/test_jit.py::TestDict::test_membership, test/test_jit.py::TestDict::test_mutability, test/test_jit.py::TestDict::test_optional_dict_construct, test/test_jit.py::TestDict::test_ordered_dict, test/test_jit.py::TestDict::test_pop, test/test_jit.py::TestDict::test_popitem, test/test_jit.py::TestDict::test_setdefault, test/test_jit.py::TestDict::test_type_annotation_missing_contained_type, test/test_jit.py::TestDict::test_update, test/test_jit.py::TestDict::test_update_existing_key, test/test_jit.py::TestDict::test_values, test/test_jit.py::TestDict::test_view, test/test_jit.py::TestNamedTuple::test_namedtuple, test/test_jit.py::TestNamedTuple::test_namedtuple_as_attr, test/test_jit.py::TestNamedTuple::test_namedtuple_constant, test/test_jit.py::TestNamedTuple::test_namedtuple_input_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_inside_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_kwarg_construct, test/test_jit.py::TestNamedTuple::test_namedtuple_lower, test/test_jit.py::TestNamedTuple::test_namedtuple_resolution, test/test_jit.py::TestNamedTuple::test_namedtuple_resolution_forwardref, test/test_jit.py::TestNamedTuple::test_namedtuple_serialization, test/test_jit.py::TestNamedTuple::test_namedtuple_slice_unpack, test/test_jit.py::TestNamedTuple::test_namedtuple_type_annotation, test/test_jit.py::TestNamedTuple::test_namedtuple_wrong_types, test/test_jit.py::TestNamedTuple::test_return_named_tuple, test/test_jit.py::TestScriptDict::test_bool, test/test_jit.py::TestScriptDict::test_contains, test/test_jit.py::TestScriptDict::test_delitem, test/test_jit.py::TestScriptDict::test_getitem, test/test_jit.py::TestScriptDict::test_items, test/test_jit.py::TestScriptDict::test_iter, test/test_jit.py::TestScriptDict::test_len, test/test_jit.py::TestScriptDict::test_nested, test/test_jit.py::TestScriptDict::test_reference_semantics, test/test_jit.py::TestScriptDict::test_repr, test/test_jit.py::TestScriptDict::test_setitem, test/test_jit.py::TestScriptList::test_append, test/test_jit.py::TestScriptList::test_bool, test/test_jit.py::TestScriptList::test_clear, test/test_jit.py::TestScriptList::test_contains, test/test_jit.py::TestScriptList::test_count, test/test_jit.py::TestScriptList::test_defaultdict, test/test_jit.py::TestScriptList::test_delitem, test/test_jit.py::TestScriptList::test_extend, test/test_jit.py::TestScriptList::test_getitem, test/test_jit.py::TestScriptList::test_insert, test/test_jit.py::TestScriptList::test_iter, test/test_jit.py::TestScriptList::test_len, test/test_jit.py::TestScriptList::test_nested, test/test_jit.py::TestScriptList::test_pop, test/test_jit.py::TestScriptList::test_reference_semantics, test/test_jit.py::TestScriptList::test_remove, test/test_jit.py::TestScriptList::test_repr, test/test_jit.py::TestScriptList::test_setitem, test/test_jit.py::TestAsync::test_async_future_type_python, test/test_jit.py::TestAsync::test_async_grad_guard_no_grad, test/test_jit.py::TestAsync::test_async_grad_guard_with_grad, test/test_jit.py::TestAsync::test_async_kwargs, test/test_jit.py::TestAsync::test_async_parsing, test/test_jit.py::TestAsync::test_async_python, test/test_jit.py::TestAsync::test_async_script, test/test_jit.py::TestAsync::test_async_script_capture, test/test_jit.py::TestAsync::test_async_script_error, test/test_jit.py::TestAsync::test_async_script_multi_forks, test/test_jit.py::TestAsync::test_async_script_multi_waits, test/test_jit.py::TestAsync::test_async_script_nested, test/test_jit.py::TestAsync::test_async_script_no_script_mod, test/test_jit.py::TestAsync::test_async_script_trace, test/test_jit.py::TestAsync::test_future_subtyping, test/test_jit.py::TestAsync::test_no_future_subtype_message, test/test_jit.py::TestAsync::test_trace_fork_wait, test/test_jit.py::TestAsync::test_trace_fork_wait_inline, test/test_jit.py::TestAsync::test_trace_fork_wait_leaking, test/test_jit.py::TestAsync::test_trace_fork_wait_list_modulecalls, test/test_jit.py::TestAsync::test_trace_modulecalls_with_different_output_types, test/test_jit.py::TestAwait::test_await_class_arg, test/test_jit.py::TestAwait::test_await_class_return, test/test_jit.py::TestAwait::test_await_eager_lazy, test/test_jit.py::TestAwait::test_await_func_arg, test/test_jit.py::TestAwait::test_await_getattr_implicit_convertion, test/test_jit.py::TestAwait::test_await_isinstance, test/test_jit.py::TestAwait::test_await_multiout_save, test/test_jit.py::TestAwait::test_await_nested, test/test_jit.py::TestAwait::test_await_out_of_interpreter, test/test_jit.py::TestAwait::test_await_python, test/test_jit.py::TestAwait::test_await_type_python, test/test_jit.py::TestAwait::test_awaitable_to_await, test/test_jit.py::TestAwait::test_eager_await_non_scriptable, test/test_jit.py::TestAwait::test_jit_trace, test/test_jit.py::TestAwait::test_nowait, test/test_jit.py::TestAwait::test_nowait_class, test/test_jit.py::TestAwait::test_script, test/test_jit.py::TestDataParallel::test_python_submodule_script, test/test_jit.py::TestDataParallel::test_shared_module, test/test_jit.py::TestDataParallel::test_tensor_sharing, test/test_jit.py::TestDataParallel::test_tensor_sharing_with_forward, test/test_jit.py::TestDataParallel::test_traced_module, test/test_jit.py::TestModels::test_alexnet, test/test_jit.py::TestModels::test_dcgan_models, test/test_jit.py::TestModels::test_dcgan_models_cuda, test/test_jit.py::TestModels::test_mnist, test/test_jit.py::TestModels::test_mnist_cuda, test/test_jit.py::TestModels::test_mnist_training_leaks_no_memory_cuda, test/test_jit.py::TestModels::test_neural_style, test/test_jit.py::TestModels::test_neural_style_cuda, test/test_jit.py::TestModels::test_reinforcement_learning, test/test_jit.py::TestModels::test_reinforcement_learning_cuda, test/test_jit.py::TestModels::test_script_module_script_resnet, test/test_jit.py::TestModels::test_script_module_trace_resnet18, test/test_jit.py::TestModels::test_snli, test/test_jit.py::TestModels::test_snli_cuda, test/test_jit.py::TestModels::test_super_resolution, test/test_jit.py::TestModels::test_super_resolution_cuda, test/test_jit.py::TestModels::test_time_sequence_prediction, test/test_jit.py::TestModels::test_vae, test/test_jit.py::TestModels::test_vae_cuda, test/test_jit.py::TestModules::test_script_module_with_constants_list, test/test_jit.py::TestAutodiffJit::test_autodiff_requires_grad_nograd, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs_profiled_twice, test/test_jit.py::TestAutodiffJit::test_requires_grad_outputs_side_effects, test/test_jit.py::TestAutodiffJit::test_undefined_tensor_lists, test/test_jit.py::TestAutodiffSubgraphSlicing::test_aliased_outputs, test/test_jit.py::TestAutodiffSubgraphSlicing::test_bias_as_arg, test/test_jit.py::TestAutodiffSubgraphSlicing::test_bias_as_module_attr, test/test_jit.py::TestAutodiffSubgraphSlicing::test_chunk_constant_script_ad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_constructed_bias, test/test_jit.py::TestAutodiffSubgraphSlicing::test_diff_graph_inline_threshold, test/test_jit.py::TestAutodiffSubgraphSlicing::test_differentiable_graph_ops_requires_grad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_does_not_create_cycles, test/test_jit.py::TestAutodiffSubgraphSlicing::test_does_not_merge_unrelated, test/test_jit.py::TestAutodiffSubgraphSlicing::test_has_profiled_info_aliasing_outputs, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merge_respects_aliasing, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_dense, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_down, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_up, test/test_jit.py::TestAutodiffSubgraphSlicing::test_merges_without_cycles, test/test_jit.py::TestAutodiffSubgraphSlicing::test_prune_grad, test/test_jit.py::TestAutodiffSubgraphSlicing::test_requires_grad_for_tensor_list, test/test_jit.py::TestAutodiffSubgraphSlicing::test_respects_lexical_scoping, test/test_jit.py::TestAutodiffSubgraphSlicing::test_simple_merge, test/test_jit.py::TestAutodiffSubgraphSlicing::test_simple_no_merge, test/test_jit.py::TestCustomOperators::test_calling_scripted_custom_op, test/test_jit.py::TestCustomOperators::test_calling_traced_custom_op, test/test_jit.py::TestCustomOperators::test_default_arguments_are_used, test/test_jit.py::TestCustomOperators::test_dynamic_op_registry, test/test_jit.py::TestCustomOperators::test_generic_list, test/test_jit.py::TestCustomOperators::test_getting_invalid_attr, test/test_jit.py::TestCustomOperators::test_passing_and_returning_lists, test/test_jit.py::TestCustomOperators::test_passing_one_positional_but_not_the_second, test/test_jit.py::TestCustomOperators::test_passing_too_few_args, test/test_jit.py::TestCustomOperators::test_passing_too_many_args, test/test_jit.py::TestCustomOperators::test_passing_unknown_kwargs, test/test_jit.py::TestCustomOperators::test_script_graph_contains_custom_op, test/test_jit.py::TestCustomOperators::test_script_graph_for_custom_ops_matches_traced_graph, test/test_jit.py::TestCustomOperators::test_simply_calling_an_operator, test/test_jit.py::TestCustomOperators::test_where_no_scalar, test/test_jit.py::TestGraphRewritePasses::test_fuse_linear, test/test_jit.py::TestClassType::test_cast_overloads, test/test_jit.py::TestClassType::test_class_attribute_wrong_type, test/test_jit.py::TestClassType::test_class_constant, test/test_jit.py::TestClassType::test_class_constructs_itself, test/test_jit.py::TestClassType::test_class_inheritance, test/test_jit.py::TestClassType::test_class_inheritance_implicit, test/test_jit.py::TestClassType::test_class_sorting, test/test_jit.py::TestClassType::test_class_specialization, test/test_jit.py::TestClassType::test_class_type_as_param, test/test_jit.py::TestClassType::test_classmethod, test/test_jit.py::TestClassType::test_conditional_set_attr, test/test_jit.py::TestClassType::test_custom_delete, test/test_jit.py::TestClassType::test_default_args, test/test_jit.py::TestClassType::test_get_attr, test/test_jit.py::TestClassType::test_get_attr_not_initialized, test/test_jit.py::TestClassType::test_get_with_method, test/test_jit.py::TestClassType::test_imported_classes, test/test_jit.py::TestClassType::test_in, test/test_jit.py::TestClassType::test_init_compiled_first, test/test_jit.py::TestClassType::test_interface, test/test_jit.py::TestClassType::test_optional_type_promotion, test/test_jit.py::TestClassType::test_out_of_order_methods, test/test_jit.py::TestClassType::test_overloaded_fn, test/test_jit.py::TestClassType::test_properties, test/test_jit.py::TestClassType::test_py_class_to_ivalue_missing_attribute, test/test_jit.py::TestClassType::test_python_interop, test/test_jit.py::TestClassType::test_recursive_class, test/test_jit.py::TestClassType::test_recursive_script_builtin_type_resolution, test/test_jit.py::TestClassType::test_recursive_script_module_builtin_type_resolution, test/test_jit.py::TestClassType::test_recursive_scripting, test/test_jit.py::TestClassType::test_recursive_scripting_failed, test/test_jit.py::TestClassType::test_reference_semantics, test/test_jit.py::TestClassType::test_save_load_with_classes, test/test_jit.py::TestClassType::test_save_load_with_classes_nested, test/test_jit.py::TestClassType::test_save_load_with_classes_returned, test/test_jit.py::TestClassType::test_schema_human_readable, test/test_jit.py::TestClassType::test_self_referential_method, test/test_jit.py::TestClassType::test_set_attr_in_method, test/test_jit.py::TestClassType::test_set_attr_non_initialized, test/test_jit.py::TestClassType::test_set_attr_type_mismatch, test/test_jit.py::TestClassType::test_staticmethod, test/test_jit.py::TestClassType::test_type_annotation, test/test_jit.py::TestClassType::test_type_annotations, test/test_jit.py::TestClassType::test_unresolved_class_attributes, test/test_jit.py::TestClassType::test_unused_method, test/test_jit.py::TestBuiltins::test_del, test/test_jit.py::TestBuiltins::test_del_multiple_operands, test/test_jit.py::TestBuiltins::test_has_attr, test/test_jit.py::TestBuiltins::test_has_attr_invalid_args, test/test_jit.py::TestBuiltins::test_torch_check, test/test_jit.py::TestBuiltins::test_torch_check_invalid_args, test/test_jit.py::TestTensorBuiltins::test_method_on_number, test/test_jit.py::TestTensorBuiltins::test_scalar_to_num_conversions, test/test_jit.py::TestTensorBuiltins::test_tensor_item, test/test_jit.py::TestTensorBuiltins::test_tensor_properties, test/test_jit.py::TestTensorBuiltins::test_tensor_subscript_assign, test/test_jit.py::TestTensorBuiltins::test_tensor_subscript_assign_device, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_inp_out, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_just_inp, test/test_jit.py::TestIgnoreContextManager::test_with_ignore_context_manager_with_just_out, test/test_jit.py::TestSymbolicShapeAnalysis::test_adaptive_avg_pool2d, test/test_jit.py::TestSymbolicShapeAnalysis::test_arange_shape, test/test_jit.py::TestSymbolicShapeAnalysis::test_binary_shape_fns_inplace, test/test_jit.py::TestSymbolicShapeAnalysis::test_binary_shape_functions, test/test_jit.py::TestSymbolicShapeAnalysis::test_conv_deconv, test/test_jit.py::TestSymbolicShapeAnalysis::test_convolution_backward, test/test_jit.py::TestSymbolicShapeAnalysis::test_cross_entropy_loss, test/test_jit.py::TestSymbolicShapeAnalysis::test_if_propagation, test/test_jit.py::TestSymbolicShapeAnalysis::test_partial_eval_graph_conv, test/test_jit.py::TestSymbolicShapeAnalysis::test_partial_eval_stitching, test/test_jit.py::TestSymbolicShapeAnalysis::test_refinement_through_graph_stitching, test/test_jit.py::TestSymbolicShapeAnalysis::test_register_function_error_checking, test/test_jit.py::TestSymbolicShapeAnalysis::test_returning_input_symbolic_shapes, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_analysis, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_concat, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_embedding_bag, test/test_jit.py::TestSymbolicShapeAnalysis::test_shape_function_includes, test/test_jit.py::TestSymbolicShapeAnalysis::test_shared_shape_graph, test/test_jit.py::TestSymbolicShapeAnalysis::test_size_and_sizes, test/test_jit.py::TestSymbolicShapeAnalysis::test_squeeze_dims, test/test_jit.py::TestSymbolicShapeAnalysis::test_stitching_concat, test/test_jit.py::TestSymbolicShapeAnalysis::test_stitching_multi_output, test/test_jit.py::TestSymbolicShapeAnalysis::test_sym_ir_parsing, test/test_jit.py::TestSymbolicShapeAnalysis::test_unary_shape_fns_inplace, test/test_jit.py::TestSymbolicShapeAnalysis::test_unary_shape_functions, test/test_jit.py::TestSymbolicShapeAnalysis::test_write, test/test_jit.py::TestOpDecompositions::test_op_decomposition, test/test_jit.py::TestOpDecompositions::test_registered_decomposition, test/test_jit.py::TestUnsupportedOps::test_factory_ops_requires_grad_fail, test/test_jit.py::TestUnsupportedOps::test_init_ops, test/test_jit.py::TestFreezing::test_freeze_interface_swapping_two_methods, test/test_jit.py::TestFreezing::test_freeze_interface_within_object, test/test_jit.py::TestFreezing::test_freeze_module, test/test_jit.py::TestFreezing::test_freeze_module_detach_gradient, test/test_jit.py::TestFreezing::test_freeze_module_in_training_mode, test/test_jit.py::TestFreezing::test_freeze_module_inlining, test/test_jit.py::TestFreezing::test_freeze_module_no_forward, test/test_jit.py::TestFreezing::test_freeze_module_return_self, test/test_jit.py::TestFreezing::test_freeze_module_return_sub_module, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr2, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_attr3, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr2, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr3, test/test_jit.py::TestFreezing::test_freeze_module_with_aliased_tensor_attr4, test/test_jit.py::TestFreezing::test_freeze_module_with_call_method, test/test_jit.py::TestFreezing::test_freeze_module_with_fork, test/test_jit.py::TestFreezing::test_freeze_module_with_fork2, test/test_jit.py::TestFreezing::test_freeze_module_with_fork_calling_module_method, test/test_jit.py::TestFreezing::test_freeze_module_with_helperfunction, test/test_jit.py::TestFreezing::test_freeze_module_with_inplace_mutable, test/test_jit.py::TestFreezing::test_freeze_module_with_list, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_dict, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_list, test/test_jit.py::TestFreezing::test_freeze_module_with_mutable_tensor, test/test_jit.py::TestFreezing::test_freeze_module_with_nested_fork, test/test_jit.py::TestFreezing::test_freeze_module_with_nestedaliasing, test/test_jit.py::TestFreezing::test_freeze_module_with_nestedaliasingscalar, test/test_jit.py::TestFreezing::test_freeze_module_with_non_static_module_container_index, test/test_jit.py::TestFreezing::test_freeze_module_with_overlapping_attrs, test/test_jit.py::TestFreezing::test_freeze_module_with_preserve_sub_module, test/test_jit.py::TestFreezing::test_freeze_module_with_preserve_sub_module_and_mutation, test/test_jit.py::TestFreezing::test_freeze_module_with_sharedclasstype, test/test_jit.py::TestFreezing::test_freeze_module_with_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_tensor, test/test_jit.py::TestFreezing::test_freeze_module_with_tuple, test/test_jit.py::TestFreezing::test_freeze_module_with_tupleoutput_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attr, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attribute_on_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_attribute_on_unused_submodule, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method2, test/test_jit.py::TestFreezing::test_freeze_module_with_user_preserved_method_on_submodule, test/test_jit.py::TestFreezing::test_freeze_no_forward, test/test_jit.py::TestFreezing::test_freeze_non_interface_module_swap, test/test_jit.py::TestFreezing::test_freeze_non_module_class_getattr, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces_same_name, test/test_jit.py::TestFreezing::test_freeze_recursive_interfaces_with_reassignment, test/test_jit.py::TestFreezing::test_freeze_with_interface_mutable, test/test_jit.py::TestFreezing::test_freeze_with_swapping_interfaces, test/test_jit.py::TestFreezing::test_module_getattr_indirection, test/test_jit.py::TestFreezing::test_module_with_shared_type_instances, test/test_jit.py::TestFrozenOptimizations::test_bn_not_broadcast_with_linear, test/test_jit.py::TestFrozenOptimizations::test_collapse_adjacent_conversions, test/test_jit.py::TestFrozenOptimizations::test_conv_add_folding, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding_autocast_scenario_cuda, test/test_jit.py::TestFrozenOptimizations::test_conv_bn_folding_not_forward, test/test_jit.py::TestFrozenOptimizations::test_conv_hardswish, test/test_jit.py::TestFrozenOptimizations::test_conv_mul_add_bn, test/test_jit.py::TestFrozenOptimizations::test_conv_to_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_conv_to_mkldnn_no_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_freeze_conv_relu_fusion, test/test_jit.py::TestFrozenOptimizations::test_freeze_conv_relu_fusion_not_forward, test/test_jit.py::TestFrozenOptimizations::test_freeze_mkdlnn, test/test_jit.py::TestFrozenOptimizations::test_freeze_remove_dropout, test/test_jit.py::TestFrozenOptimizations::test_freeze_remove_feature_dropout, test/test_jit.py::TestFrozenOptimizations::test_hardswish_hardsigmoid, test/test_jit.py::TestFrozenOptimizations::test_incompatible_perf_formats, test/test_jit.py::TestFrozenOptimizations::test_linear_bn_folding, test/test_jit.py::TestFrozenOptimizations::test_linear_bn_folding_autocast_scenario_cuda, test/test_jit.py::TestFrozenOptimizations::test_linear_concat, test/test_jit.py::TestFrozenOptimizations::test_linear_concat_complex, test/test_jit.py::TestFrozenOptimizations::test_linear_concat_different_input, test/test_jit.py::TestFrozenOptimizations::test_linear_multiple_blocks, test/test_jit.py::TestFrozenOptimizations::test_linear_non_constant_weight, test/test_jit.py::TestFrozenOptimizations::test_linear_transpose, test/test_jit.py::TestFrozenOptimizations::test_maxpool_mkldnn, test/test_jit.py::TestFrozenOptimizations::test_mkldnn_fuser_broadcasting, test/test_jit.py::TestFrozenOptimizations::test_mkldnn_inplace_removal, test/test_jit.py::TestFrozenOptimizations::test_numel_less_than_size_with_padding, test/test_jit.py::TestFrozenOptimizations::test_optimize_freeze_module, test/test_jit.py::TestFrozenOptimizations::test_pool2d_batchnorm, test/test_jit.py::TestFrozenOptimizations::test_pool3d_batchnorm, test/test_jit.py::TestFrozenOptimizations::test_remove_detach, test/test_jit.py::TestFrozenOptimizations::test_remove_detach_not_applied, test/test_jit.py::TestFrozenOptimizations::test_scalar_mul, test/test_jit.py::TestMKLDNNReinplacing::test_always_alive_values, test/test_jit.py::TestMKLDNNReinplacing::test_merge_liveness, test/test_jit.py::TestMKLDNNReinplacing::test_successful, test/test_jit.py::TestMKLDNNReinplacing::test_switch_inputs_to_inplace, test/test_jit.py::TestPeephole::test_conv_dim_folding, test/test_jit.py::TestPeephole::test_integer_refinement, test/test_jit.py::TestPeephole::test_noop_peephole, test/test_jit.py::TestPeephole::test_normalized_is_op, test/test_jit.py::TestPeephole::test_normalized_isnot_op, test/test_jit.py::TestPeephole::test_normalized_rsub, test/test_jit.py::TestPeephole::test_optimize_out_comparison_same_value, test/test_jit.py::TestPeephole::test_peephole, test/test_jit.py::TestPeephole::test_peephole_add_zero, test/test_jit.py::TestPeephole::test_peephole_arith, test/test_jit.py::TestPeephole::test_peephole_cuda, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_dict_modified, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_get_input_arg, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_keys_might_overlap, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_missing_key, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_overlapping_keys, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_no_optimization_unsupported_type, test/test_jit.py::TestPeephole::test_peephole_dict_getitem_simple, test/test_jit.py::TestPeephole::test_peephole_dict_len, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_keys_might_overlap, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_overlapping_keys, test/test_jit.py::TestPeephole::test_peephole_dict_len_no_optimization_unsupported_type, test/test_jit.py::TestPeephole::test_peephole_dynamic, test/test_jit.py::TestPeephole::test_peephole_int, test/test_jit.py::TestPeephole::test_peephole_len_list, test/test_jit.py::TestPeephole::test_peephole_list_len, test/test_jit.py::TestPeephole::test_peephole_list_ops, test/test_jit.py::TestPeephole::test_peephole_no_output_aliasing, test/test_jit.py::TestPeephole::test_peephole_optional_refine, test/test_jit.py::TestPeephole::test_peephole_slice_all_three_args, test/test_jit.py::TestPeephole::test_peephole_slice_one_empty_arg, test/test_jit.py::TestPeephole::test_peephole_slice_optimization_not_applied_list_modified, test/test_jit.py::TestPeephole::test_peephole_slice_optimization_not_applied_non_const_args, test/test_jit.py::TestPeephole::test_peephole_slice_two_empty_args, test/test_jit.py::TestPeephole::test_peephole_type_refinements, test/test_jit.py::TestPeephole::test_peephole_with_non_output_writes, test/test_jit.py::TestPeephole::test_peephole_with_writes, test/test_jit.py::TestPeephole::test_refine_integer_values, test/test_jit.py::TestPeephole::test_short_circuit_optimization, test/test_jit.py::TestAliasAnalysis::test_becomes_wildcard_annotations, test/test_jit.py::TestAliasAnalysis::test_multiple_compilation_units, test/test_jit.py::TestAliasAnalysis::test_nested_list_construct_not_wildcard, test/test_jit.py::TestAliasAnalysis::test_recursive_calls, test/test_jit.py::TestSaveLoad::test_different_functions, test/test_jit.py::TestSaveLoad::test_different_interfaces, test/test_jit.py::TestSaveLoad::test_different_modules, test/test_jit.py::TestSaveLoad::test_many_collisions, test/test_jit.py::TestSaveLoad::test_save_load_large_string_attribute, test/test_jit.py::TestSaveLoad::test_save_load_meta_tensors, test/test_jit.py::TestSaveLoad::test_save_load_meta_tensors_to_device, test/test_jit.py::TestSaveLoad::test_save_load_params_buffers_submodules, test/test_jit.py::TestSaveLoad::test_save_load_using_pathlib, test/test_jit.py::TestSaveLoad::test_save_load_with_extra_files, test/test_jit.py::TestSaveLoad::test_save_load_with_saved_traced_inputs, test/test_jit.py::TestSaveLoad::test_save_namedtuple_input_only, test/test_jit.py::TestSaveLoad::test_save_namedtuple_input_only_forwardref, test/test_jit.py::TestSaveLoad::test_save_namedtuple_output_only, test/test_jit.py::TestSaveLoad::test_save_nonexit_file, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_functions, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_interfaces, test/test_jit.py::TestSaveLoadFlatbuffer::test_different_modules, test/test_jit.py::TestSaveLoadFlatbuffer::test_many_collisions, test/test_jit.py::TestSaveLoadFlatbuffer::test_module_info_flatbuffer, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_params_buffers_submodules, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_using_pathlib, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_load_with_extra_files, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_namedtuple_input_only, test/test_jit.py::TestSaveLoadFlatbuffer::test_save_namedtuple_output_only, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_inplace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_reciprocal, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_scalar_scalar, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor_inplace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_div_tensor_out, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_linspace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_linspace_out, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_logspace, test/test_jit.py::TestSaveLoadForOpVersion::test_versioned_logspace_out, test/test_jit.py::TestModuleContainers::test_custom_container_forward, test/test_jit.py::TestModuleContainers::test_empty_dict_override_contains, test/test_jit.py::TestModuleContainers::test_module_inplace_construct, test/test_jit.py::TestModuleContainers::test_module_interface_special_methods, test/test_jit.py::TestModuleContainers::test_module_properties, test/test_jit.py::TestModuleContainers::test_moduledict, test/test_jit.py::TestModuleContainers::test_moduledict_getitem, test/test_jit.py::TestModuleContainers::test_moduledict_keyerror, test/test_jit.py::TestModuleContainers::test_normal_list_attribute_with_modules_error, test/test_jit.py::TestModuleContainers::test_parameterdict_script_getitem, test/test_jit.py::TestModuleContainers::test_parameterlist_script_getitem, test/test_jit.py::TestModuleContainers::test_parameterlist_script_iter, test/test_jit.py::TestModuleContainers::test_script_module_list_sequential, test/test_jit.py::TestModuleContainers::test_script_modulelist_index, test/test_jit.py::TestModuleContainers::test_sequential_intermediary_types, test/test_jit.py::TestModuleContainers::test_special_method_with_override, test/test_jit.py::TestModuleContainers::test_typed_module_dict, test/test_jit.py::TestModuleContainers::test_typed_module_list, test/test_jit.py::TestPythonBindings::test_add_input, test/test_jit.py::TestPythonBindings::test_aliasdb, test/test_jit.py::TestPythonBindings::test_canonicalize, test/test_jit.py::TestPythonBindings::test_cu_create_function, test/test_jit.py::TestPythonBindings::test_cu_get_functions, test/test_jit.py::TestPythonBindings::test_graph_create, test/test_jit.py::TestPythonBindings::test_graph_iterator_keepalive, test/test_jit.py::TestPythonBindings::test_invalidation, test/test_jit.py::TestPythonIr::test_param_strides, test/test_jit.py::TestPythonIr::test_permute_inputs_binding, test/test_jit.py::TestPythonIr::test_python_ir_utils, test/test_jit.py::TestPythonIr::test_python_ir_utils_graph, test/test_jit.py::TestFunctionalBlocks::test_subgraph_creation, test/test_jit.py::TestRemoveMutation::test_aten_inplace, test/test_jit.py::TestRemoveMutation::test_common_pytorch_list_ops, test/test_jit.py::TestRemoveMutation::test_if_output, test/test_jit.py::TestRemoveMutation::test_if_output_fail, test/test_jit.py::TestRemoveMutation::test_list_indexing_removal, test/test_jit.py::TestRemoveMutation::test_lists_append, test/test_jit.py::TestRemoveMutation::test_lists_insert, test/test_jit.py::TestRemoveMutation::test_special_mapped_op, test/test_jit.py::TestTorchbind::test_default_args, test/test_jit.py::TestTorchbind::test_hasattr, test/test_jit.py::TestTorchbind::test_lambda_as_constructor, test/test_jit.py::TestTorchbind::test_profiler_custom_op, test/test_jit.py::TestTorchbind::test_staticmethod, test/test_jit.py::TestTorchbind::test_torchbind, test/test_jit.py::TestTorchbind::test_torchbind_attr_exception, test/test_jit.py::TestTorchbind::test_torchbind_class_attr_recursive, test/test_jit.py::TestTorchbind::test_torchbind_class_attribute, test/test_jit.py::TestTorchbind::test_torchbind_deepcopy, test/test_jit.py::TestTorchbind::test_torchbind_def_property_getter_setter, test/test_jit.py::TestTorchbind::test_torchbind_def_property_just_getter, test/test_jit.py::TestTorchbind::test_torchbind_def_property_readwrite, test/test_jit.py::TestTorchbind::test_torchbind_getattr, test/test_jit.py::TestTorchbind::test_torchbind_getstate, test/test_jit.py::TestTorchbind::test_torchbind_instantiate_missing_class, test/test_jit.py::TestTorchbind::test_torchbind_lambda_method, test/test_jit.py::TestTorchbind::test_torchbind_no_init, test/test_jit.py::TestTorchbind::test_torchbind_optional_explicit_attr, test/test_jit.py::TestTorchbind::test_torchbind_pass_wrong_type, test/test_jit.py::TestTorchbind::test_torchbind_pickle_serialization, test/test_jit.py::TestTorchbind::test_torchbind_python_deepcopy, test/test_jit.py::TestTorchbind::test_torchbind_return_instance, test/test_jit.py::TestTorchbind::test_torchbind_return_instance_from_method, test/test_jit.py::TestTorchbind::test_torchbind_return_tuple, test/test_jit.py::TestTorchbind::test_torchbind_save_load, test/test_jit.py::TestTorchbind::test_torchbind_take_as_arg, test/test_jit.py::TestTorchbind::test_torchbind_take_instance_as_method_arg, test/test_jit.py::TestTorchbind::test_torchbind_tracing, test/test_jit.py::TestTorchbind::test_torchbind_tracing_nested, test/test_jit.py::TestModuleInterface::test_freeze_module_with_inplace_mutation_in_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_interface_and_fork, test/test_jit.py::TestModuleInterface::test_freeze_module_with_mutated_interface, test/test_jit.py::TestModuleInterface::test_freeze_module_with_setattr_in_interface, test/test_jit.py::TestModuleInterface::test_module_apis_interface, test/test_jit.py::TestModuleInterface::test_module_doc_string, test/test_jit.py::TestModuleInterface::test_module_interface, test/test_jit.py::TestModuleInterface::test_module_interface_inheritance, test/test_jit.py::TestModuleInterface::test_module_interface_subtype, test/test_jit.py::TestModuleInterface::test_module_swap, test/test_jit.py::TestModuleInterface::test_module_swap_no_lazy_compile, test/test_jit.py::TestModuleInterface::test_module_swap_no_module_interface, test/test_jit.py::TestModuleInterface::test_module_swap_wrong_module, test/test_jit.py::TestModuleInterface::test_not_submodule_interface_call, test/test_jit.py::TestModuleInterface::test_script_module_as_interface_swap, test/test_jit.py::TestWith::test_with_as, test/test_jit.py::TestWith::test_with_errors, test/test_jit.py::TestWith::test_with_exceptions, test/test_jit.py::TestWith::test_with_no_as, test/test_jit.py::TestWith::test_with_no_grad, test/test_jit.py::TestWith::test_with_record_function, test/test_jit.py::TestEnum::test_closed_over_enum_constant, test/test_jit.py::TestEnum::test_enum_as_const, test/test_jit.py::TestEnum::test_enum_as_module_attribute, test/test_jit.py::TestEnum::test_enum_comp, test/test_jit.py::TestEnum::test_enum_comp_diff_classes, test/test_jit.py::TestEnum::test_enum_explicit_script, test/test_jit.py::TestEnum::test_enum_iterate, test/test_jit.py::TestEnum::test_enum_ivalue_type, test/test_jit.py::TestEnum::test_enum_module_return, test/test_jit.py::TestEnum::test_enum_name, test/test_jit.py::TestEnum::test_enum_return, test/test_jit.py::TestEnum::test_enum_value, test/test_jit.py::TestEnum::test_enum_value_types, test/test_jit.py::TestEnum::test_heterogenous_value_type_enum_error, test/test_jit.py::TestEnum::test_non_existent_enum_value, test/test_jit.py::TestEnum::test_string_enum_as_module_attribute, test/test_jit.py::TestEnum::test_typed_enum, test/test_jit.py::TestStringFormatting::test_modulo_operator, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_alternate_digit_placeholder, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_capital_exponent_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_char_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_char_placeholder_and_true_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_digit_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_digit_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_double_percent_in_string, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_exponent_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_float_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_float_placeholder_and_float_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_lowercase_exponent_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_multiple_placeholders, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_percent_in_string, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_digit_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_format_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_string_placeholder_and_string_variable, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_subscript, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_too_few_arguments, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_too_many_arguments, test/test_jit.py::TestStringFormatting::test_string_interpolation_with_unknown_format_specifier, test/test_jit.py::TestProfiler::test_aliasing_merge, test/test_jit.py::TestProfiler::test_autograd_fallback_graph, test/test_jit.py::TestProfiler::test_fallback_graph_not_specialized, test/test_jit.py::TestProfiler::test_iterative_fusion, test/test_jit.py::TestProfiler::test_local_fusion_strategy, test/test_jit.py::TestProfiler::test_not_fusing_scalar_ops, test/test_jit.py::TestProfiler::test_not_optimizing_property, test/test_jit.py::TestProfiler::test_specialize_backward, test/test_jit.py::TestProfiler::test_specialized_types, test/test_jit.py::TestProfiler::test_tensor_constant, test/test_jit.py::TestProfiler::test_tensor_type_not_determined_by_inputs, test/test_jit.py::TestProfiler::test_use_not_profiled, test/test_jit.py::TestSlice::test_module_list_slicing, test/test_jit.py::TestSlice::test_slice_as_variable, test/test_jit.py::TestSlice::test_slice_dynamic_index, test/test_jit.py::TestSlice::test_slice_kwarg, test/test_jit.py::TestSlice::test_slice_one_none, test/test_jit.py::TestSlice::test_slice_start_stop, test/test_jit.py::TestSlice::test_slice_start_stop_step, test/test_jit.py::TestSlice::test_slice_start_stop_with_none, test/test_jit.py::TestSlice::test_slice_stop_clipped, test/test_jit.py::TestSlice::test_slice_stop_only, test/test_jit.py::TestSlice::test_slice_stop_only_with_nones, test/test_jit.py::TestSlice::test_slice_string, test/test_jit.py::TestSlice::test_slice_tensor, test/test_jit.py::TestSlice::test_slice_tensor_multidim, test/test_jit.py::TestSlice::test_slice_tensor_multidim_with_dots, test/test_jit.py::TestSlice::test_slice_three_nones, test/test_jit.py::TestSlice::test_slice_two_nones, test/test_jit.py::TestSlice::test_tuple_slicing, test/test_jit.py::TestIgnorableArgs::test_add_out_ignorable_args, test/test_jit.py::TestIgnorableArgs::test_slice_ignorable_args_for_slice, test/test_jit.py::TestHooks::test_forward_tuple_input, test/test_jit.py::TestHooks::test_hook_compilation_hint, test/test_jit.py::TestHooks::test_hook_hook_name_collision, test/test_jit.py::TestHooks::test_hook_method_name_collision, test/test_jit.py::TestHooks::test_module_direct_forward_invocation, test/test_jit.py::TestHooks::test_module_forward_multiple_inputs, test/test_jit.py::TestHooks::test_module_forward_single_input, test/test_jit.py::TestHooks::test_module_hook_return_nothing, test/test_jit.py::TestHooks::test_module_multiple_hooks_multiple_inputs, test/test_jit.py::TestHooks::test_module_multiple_hooks_single_input, test/test_jit.py::TestHooks::test_module_no_forward_input, test/test_jit.py::TestHooks::test_module_same_hook_repeated, test/test_jit.py::TestHooks::test_submodule_called_directly_with_hooks, test/test_jit.py::TestHooks::test_submodule_direct_forward_invocation, test/test_jit.py::TestHooks::test_submodule_forward_multiple_inputs, test/test_jit.py::TestHooks::test_submodule_forward_single_input, test/test_jit.py::TestHooks::test_submodule_forward_single_input_return_not_tupled, test/test_jit.py::TestHooks::test_submodule_hook_return_nothing, test/test_jit.py::TestHooks::test_submodule_multiple_hooks_multiple_inputs, test/test_jit.py::TestHooks::test_submodule_multiple_hooks_single_input, test/test_jit.py::TestHooks::test_submodule_no_forward_input, test/test_jit.py::TestHooks::test_submodule_same_hook_repeated, test/test_jit.py::TestHooks::test_wrong_hook_signatures, test/test_jit.py::TestHooks::test_wrong_pre_hook_signatures, test/test_jit.py::TestWarn::test_warn, test/test_jit.py::TestWarn::test_warn_multiple_calls_multiple_warnings, test/test_jit.py::TestWarn::test_warn_multiple_calls_same_func_diff_stack, test/test_jit.py::TestWarn::test_warn_once_per_func, test/test_jit.py::TestWarn::test_warn_once_per_func_in_loop, test/test_jit.py::TestWarn::test_warn_only_once, test/test_jit.py::TestWarn::test_warn_only_once_in_loop_func, test/test_jit.py::TestIsinstance::test_bool, test/test_jit.py::TestIsinstance::test_dict, test/test_jit.py::TestIsinstance::test_dict_nested, test/test_jit.py::TestIsinstance::test_dict_no_contained_type, test/test_jit.py::TestIsinstance::test_dict_tensor, test/test_jit.py::TestIsinstance::test_empty_container_special_cases, test/test_jit.py::TestIsinstance::test_empty_container_throws_warning_in_eager, test/test_jit.py::TestIsinstance::test_float, test/test_jit.py::TestIsinstance::test_if_else, test/test_jit.py::TestIsinstance::test_in_if, test/test_jit.py::TestIsinstance::test_in_while_loop, test/test_jit.py::TestIsinstance::test_int, test/test_jit.py::TestIsinstance::test_list, test/test_jit.py::TestIsinstance::test_list_nested, test/test_jit.py::TestIsinstance::test_list_no_contained_type, test/test_jit.py::TestIsinstance::test_list_tensor, test/test_jit.py::TestIsinstance::test_list_tensor_type_true, test/test_jit.py::TestIsinstance::test_nontuple_container_rhs_throws_in_eager, test/test_jit.py::TestIsinstance::test_optional, test/test_jit.py::TestIsinstance::test_optional_nested, test/test_jit.py::TestIsinstance::test_optional_no_contained_type, test/test_jit.py::TestIsinstance::test_optional_none, test/test_jit.py::TestIsinstance::test_tensor_type_false, test/test_jit.py::TestIsinstance::test_tuple, test/test_jit.py::TestIsinstance::test_tuple_nested, test/test_jit.py::TestIsinstance::test_tuple_no_contained_type, test/test_jit.py::TestIsinstance::test_tuple_rhs, test/test_jit.py::TestIsinstance::test_tuple_tensor, test/test_jit.py::TestIsinstance::test_type_refinement, test/test_jit.py::TestPythonBuiltinOP::test_add, test/test_jit.py::TestPythonBuiltinOP::test_adv_indexing_list, test/test_jit.py::TestPythonBuiltinOP::test_advancedindex, test/test_jit.py::TestPythonBuiltinOP::test_gather, test/test_jit.py::TestPythonBuiltinOP::test_index, test/test_jit.py::TestPythonBuiltinOP::test_index_ellipses, test/test_jit.py::TestPythonBuiltinOP::test_inf, test/test_jit.py::TestPythonBuiltinOP::test_matmul_py3, test/test_jit.py::TestPythonBuiltinOP::test_mul, test/test_jit.py::TestPythonBuiltinOP::test_pow, test/test_jit.py::TestPythonBuiltinOP::test_random, test/test_jit.py::TestPythonBuiltinOP::test_slice, test/test_jit.py::TestPythonBuiltinOP::test_stepped_tuple_slicing, test/test_jit.py::TestPythonBuiltinOP::test_str_to_float, test/test_jit.py::TestPythonBuiltinOP::test_triple, test/test_jit.py::TestTyping::test_bool_list_io, test/test_jit.py::TestTyping::test_dict_comprehension, test/test_jit.py::TestTyping::test_dict_comprehension_scope, test/test_jit.py::TestTyping::test_dict_comprehension_with_type_annotation, test/test_jit.py::TestTyping::test_dict_in_not_in, test/test_jit.py::TestTyping::test_dict_invalid_annotations, test/test_jit.py::TestTyping::test_dict_type_refinement_annotation_key_mismatch, test/test_jit.py::TestTyping::test_dict_type_refinement_annotation_value_mismatch, test/test_jit.py::TestTyping::test_for_in_dict, test/test_jit.py::TestTyping::test_for_in_string, test/test_jit.py::TestTyping::test_for_tuple_assign, test/test_jit.py::TestTyping::test_for_tuple_unpack, test/test_jit.py::TestTyping::test_inherited_annotations_python_310, test/test_jit.py::TestTyping::test_list_io, test/test_jit.py::TestTyping::test_list_iterables, test/test_jit.py::TestTyping::test_list_sum, test/test_jit.py::TestTyping::test_list_type_refinement_annotation_element_mismatch, test/test_jit.py::TestTyping::test_list_unification, test/test_jit.py::TestTyping::test_multiple_assign, test/test_jit.py::TestTyping::test_namedtuple_error_source_attribution, test/test_jit.py::TestTyping::test_namedtuple_good_error, test/test_jit.py::TestTyping::test_namedtuple_py2, test/test_jit.py::TestTyping::test_namedtuple_redefine, test/test_jit.py::TestTyping::test_nested_list, test/test_jit.py::TestTyping::test_opt_opt_refinement, test/test_jit.py::TestTyping::test_optional_conversion, test/test_jit.py::TestTyping::test_optional_refinement, test/test_jit.py::TestTyping::test_optional_tuple, test/test_jit.py::TestTyping::test_singleton_tuple_unpack, test/test_jit.py::TestTyping::test_sum_list_diff_elms, test/test_jit.py::TestTyping::test_sum_list_empty, test/test_jit.py::TestTyping::test_sum_list_literal, test/test_jit.py::TestTyping::test_sum_list_one, test/test_jit.py::TestTyping::test_sum_list_wrong_type, test/test_jit.py::TestTyping::test_tuple_assignments, test/test_jit.py::TestTyping::test_tuple_create_return, test/test_jit.py::TestTyping::test_tuple_io, test/test_jit.py::TestTyping::test_tuple_keyword, test/test_jit.py::TestTyping::test_tuple_specialization, test/test_jit.py::TestHash::test_hash_bool, test/test_jit.py::TestHash::test_hash_device, test/test_jit.py::TestHash::test_hash_float, test/test_jit.py::TestHash::test_hash_int, test/test_jit.py::TestHash::test_hash_none, test/test_jit.py::TestHash::test_hash_string, test/test_jit.py::TestHash::test_hash_tensor, test/test_jit.py::TestHash::test_hash_tuple, test/test_jit.py::TestHash::test_hash_tuple_nested_unhashable_type, test/test_jit.py::TestComplex::test_binary_op_complex_tensor, test/test_jit.py::TestComplex::test_comparison_ops, test/test_jit.py::TestComplex::test_complex_constants_and_ops, test/test_jit.py::TestComplex::test_complex_constructor, test/test_jit.py::TestComplex::test_complex_list_sum, test/test_jit.py::TestComplex::test_complex_parse, test/test_jit.py::TestComplex::test_complexdict, test/test_jit.py::TestComplex::test_complexlist, test/test_jit.py::TestComplex::test_div, test/test_jit.py::TestComplex::test_infj_nanj_pickle, test/test_jit.py::TestComplex::test_pickle, test/test_jit.py::TestComplex::test_script, test/test_jit.py::TestComplex::test_tensor_attributes, test/test_jit.py::TestComplex::test_torch_complex_constructor_with_tensor, test/test_jit.py::TestJitUtils::test_checkscriptassertraisesregex, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_hybrid, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_keyword_only, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_positional_only, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_positional_or_keyword, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_var_keyword, test/test_jit.py::TestJitUtils::test_get_callable_argument_names_var_positional, test/test_jit.py::TestJitUtils::test_no_tracer_warn_context_manager, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_annotation_and_init_annotation, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_annotation_only, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_class_level_jit_annotation, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_dict, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_dict_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_list, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_list_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_optional, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_empty_tensor, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_falsy_base_type, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_nonempty_container, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_attribute, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_dict, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_dict_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_list, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_list_lowercase, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_jit_empty_optional, test/test_jit.py::TestScriptModuleInstanceAttributeTypeAnnotation::test_annotated_with_torch_jit_import, test/test_jit.py::TestTypesAndAnnotation::test_annotate_outside_init, test/test_jit.py::TestTypesAndAnnotation::test_bad_types, test/test_jit.py::TestTypesAndAnnotation::test_ignore_with_types, test/test_jit.py::TestTypesAndAnnotation::test_ignoring_fn_with_nonscriptable_types, test/test_jit.py::TestTypesAndAnnotation::test_ignoring_module_attributes, test/test_jit.py::TestTypesAndAnnotation::test_inferred_type_error_message, test/test_jit.py::TestTypesAndAnnotation::test_mismatched_annotation, test/test_jit.py::TestTypesAndAnnotation::test_optional_no_element_type_annotation, test/test_jit.py::TestTypesAndAnnotation::test_parser_bug, test/test_jit.py::TestTypesAndAnnotation::test_pep585_type, test/test_jit.py::TestTypesAndAnnotation::test_python_callable, test/test_jit.py::TestTypesAndAnnotation::test_reannotate, test/test_jit.py::TestTypesAndAnnotation::test_tuple_no_element_type_annotation, test/test_jit.py::TestTypesAndAnnotation::test_type_annotate_py3, test/test_jit.py::TestTypesAndAnnotation::test_types_as_values, test/test_jit.py::TestTypesAndAnnotation::test_unimported_type_resolution, test/test_jit.py::TestMisc::test_broadcasting_list, test/test_jit.py::TestMisc::test_export_opnames_interface, test/test_jit.py::TestMisc::test_future_isinstance, test/test_jit.py::TestMisc::test_hacked_twin, test/test_jit.py::TestMisc::test_if_returning_any, test/test_jit.py::TestMisc::test_jit_get_operation_order, test/test_jit.py::TestMisc::test_joined_str, test/test_jit.py::TestMisc::test_kwarg_support, test/test_jit.py::TestMisc::test_legacy_tensor_constructor, test/test_jit.py::TestMisc::test_list_literal_infer, test/test_jit.py::TestMisc::test_math_inf, test/test_jit.py::TestMisc::test_parse_ir_annotate, test/test_jit.py::TestMisc::test_parse_ir_single_element_tensor_negative, test/test_jit.py::TestMisc::test_parse_ir_single_element_tensor_positive, test/test_jit.py::TestMisc::test_pow_multiple_dtype, test/test_jit.py::TestMisc::test_script_many_decorators, test/test_jit.py::TestMisc::test_str_refine_any, test/test_jit.py::TestMisc::test_subexpression_Dict_int_Future, test/test_jit.py::TestMisc::test_subexpression_Future_annotate, test/test_jit.py::TestMisc::test_subexpression_List_Future, test/test_jit.py::TestMisc::test_subexpression_Optional, test/test_jit.py::TestMisc::test_subexpression_Tuple_int_int_Future, test/test_jit.py::TestMisc::test_tuple_subscripted_assign, test/test_jit.py::TestMisc::test_unsafe_hacked_twin, test/test_jit.py::TestUpgraders::test_add_value_to_version_map, test/test_jit.py::TestUpgraders::test_aten_div_scalar_at_3, test/test_jit.py::TestUpgraders::test_aten_div_tensor_at_3, test/test_jit.py::TestUpgraders::test_aten_div_tensor_out_at_3, test/test_jit.py::TestUpgraders::test_aten_full_at_4, test/test_jit.py::TestUpgraders::test_aten_full_other_variants, test/test_jit.py::TestUpgraders::test_aten_full_out_at_4, test/test_jit.py::TestUpgraders::test_aten_linspace, test/test_jit.py::TestUpgraders::test_aten_linspace_out, test/test_jit.py::TestUpgraders::test_aten_logspace, test/test_jit.py::TestUpgraders::test_aten_logspace_out, test/test_jit.py::TestUpgraders::test_aten_test_serialization, test/test_jit.py::TestUpgraders::test_populated_test_upgrader_graph, test/test_jit.py::TestUpgraders::test_populated_upgrader_graph, test/test_jit.py::TestTensorCreationOps::test_randperm_default_dtype, test/test_jit.py::TestTensorCreationOps::test_randperm_specifed_dtype, test/test_jit.py::TestTensorCreationOps::test_tril_indices_default_dtype, test/test_jit.py::TestTensorCreationOps::test_tril_indices_specified_dtype, test/test_jit.py::TestTensorCreationOps::test_triu_indices_default_dtype, test/test_jit.py::TestTensorCreationOps::test_triu_indices_specified_dtype, test/test_jit.py::TestModuleAPIs::test_customized_state_dict_methods, test/test_jit.py::TestModuleAPIs::test_default_state_dict_methods, test/test_jit.py::TestModuleAPIs::test_submodule_customized_state_dict_methods, test/test_jit.py::TestScriptProfile::test_basic, test/test_jit.py::TestScriptProfile::test_empty, test/test_jit.py::TestScriptProfile::test_multi, test/test_jit.py::TestScriptProfile::test_script, test/test_jit.py::TestScriptProfile::test_section, test/test_jit.py::TestFunctionalToInplaceActivation::test_check_no_type_promotion, test/test_jit.py::TestFunctionalToInplaceActivation::test_functional_to_inplace_activation, test/test_jit.py::TestFunctionalToInplaceActivation::test_no_functional_to_inplace, test/test_jit.py::TestFunctionalToInplaceActivation::test_resnet18_correctness, test/test_jit.py::TestInplaceToFunctionalActivation::test_inplace_to_functional_activation, test/test_jit.py::TestInplaceToFunctionalActivation::test_resnet18_correctness, test/test_jit.py::TestParametrization::test_scriptable, test/test_jit.py::TestParametrization::test_traceable, test/test_jit.py::TestGetDefaultAttr::test_getattr_named_tuple, test/test_jit.py::TestGetDefaultAttr::test_getattr_tuple, test/test_jit.py::TestGetDefaultAttr::test_getattr_with_default, test/test_jit.py::TestAtenPow::test_aten_pow_zero_negative_exponent, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_1, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_2, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_3, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_fuse_activation_with_pack_ops_linear_conv2d_4, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_insert_pre_packed_linear_before_inline_and_conv_2d_op, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_insert_pre_packed_linear_op, test/test_jit.py::TestOptimizeForMobilePreserveDebugInfo::test_replace_conv1d_with_conv2d, test/test_jit.py::TestUnion::test_check_union_annotation, test/test_jit.py::TestUnion::test_union_T_None_is_equivalent_to_optional_T, test/test_jit.py::TestUnion::test_union_argument_order_is_ignored, test/test_jit.py::TestUnion::test_union_argument_order_is_ignored_container, test/test_jit.py::TestUnion::test_union_as_annotation, test/test_jit.py::TestUnion::test_union_as_annotation_in_typed_container, test/test_jit.py::TestUnion::test_union_as_annotation_py2, 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test/test_jit.py::TestUnion::test_union_optional_of_union_is_flattened, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped_container, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped_optional, test/test_jit.py::TestUnion::test_union_redundant_arguments_are_skipped_subtyping, test/test_jit.py::TestUnion::test_union_return_type, test/test_jit.py::TestUnion::test_union_schema_matching_on_internal_type, test/test_jit.py::TestUnion::test_union_serialization_preserves_type_annotations, test/test_jit.py::TestUnion::test_union_subclasses_larger_union, test/test_jit.py::TestUnion::test_union_subtractive_refinement, test/test_jit.py::TestUnion::test_union_subtractive_refinement_with_container, test/test_jit.py::TestUnion::test_union_type_refinement, test/test_jit.py::TestUnion::test_union_type_refinement_internal_declaration, 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test/test_jit.py::TestUnion::test_unions_of_a_single_argument_vanish, test/test_jit.py::TestUnion::test_unions_of_unions_are_flattened, test/test_jit.py::TestBatchMM::test_batch_mm_no_mutation, test/test_jit.py::TestBatchMM::test_batch_mm_permitted_mutation, test/test_jit.py::TestBatchMM::test_batch_mm_prohibited_mutation, test/test_jit.py::TestBatchMM::test_batch_mm_prohibited_mutation_if_node, test/test_jit.py::TestBatchMM::test_batch_mm_prohibited_mutation_multiple_adds, test/test_jit.py::TestBatchMM::test_batch_mm_side_permitted_mutation, test/test_jit.py::TestBatchMM::test_batch_mm_side_prohibited_mutation_common_side, test/test_jit.py::TestBatchMM::test_batch_mm_side_prohibited_mutation_uncommon_side, test/test_jit.py::TestDtypeAnalysis::test_binary_scalar, test/test_jit.py::TestDtypeAnalysis::test_binary_tensors, test/test_jit.py::TestDtypeAnalysis::test_combined, test/test_jit.py::TestDtypeAnalysis::test_conv_no_mixed_args, 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test/test_jit.py::TestScript::test_script_sequential_sliced_iteration, test/test_jit.py::TestScript::test_script_star_assign, test/test_jit.py::TestScript::test_script_star_expr, test/test_jit.py::TestScript::test_script_star_expr_string, test/test_jit.py::TestScript::test_scriptable_fn_as_attr, test/test_jit.py::TestScript::test_scriptmodule_multi_head_attn_cuda, test/test_jit.py::TestScript::test_scriptmodule_releases_tensors_cuda, test/test_jit.py::TestScript::test_scriptmodule_transformer_cuda, test/test_jit.py::TestScript::test_select_after_chunk, test/test_jit.py::TestScript::test_sequence_parsing, test/test_jit.py::TestScript::test_sequential_intermediary_types, test/test_jit.py::TestScript::test_serialization_big_ints, test/test_jit.py::TestScript::test_serialization_sharing, test/test_jit.py::TestScript::test_serialize_long_lines, test/test_jit.py::TestScript::test_serialized_source_ranges, test/test_jit.py::TestScript::test_serialized_source_ranges2, 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test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_groups, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_groups_thnn, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_pad_same, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_pad_same_dilated, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_pad_valid, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_padding, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_reflect_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_replicate_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_strided, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_zero_batch, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv2d_zeros_stride2_pad2, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d, test/test_jit.py::TestJitGeneratedModule::test_nn_Conv3d_1x1x1_no_bias, 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test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_HingeEmbeddingLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_delta, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_HuberLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_log_target, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_no_reduce_scalar_log_target, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_with_log_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_KLDivLoss_with_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce_complex, test/test_jit.py::TestJitGeneratedModule::test_nn_L1Loss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_LSTMCell, test/test_jit.py::TestJitGeneratedModule::test_nn_LayerNorm_3d_no_affine_large_feature, test/test_jit.py::TestJitGeneratedModule::test_nn_LeakyReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Linear_no_bias, test/test_jit.py::TestJitGeneratedModule::test_nn_LogSigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MSELoss_no_reduce_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MarginRankingLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_Mish_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_0d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_1d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_index_neg, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiLabelSoftMarginLoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_1d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_margin_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_p_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiMarginLoss_weights_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_MultiheadAttention, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss2d_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLossNd_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights_ignore_index, test/test_jit.py::TestJitGeneratedModule::test_nn_NLLLoss_no_reduce_weights_ignore_index_neg, test/test_jit.py::TestJitGeneratedModule::test_nn_PReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_broadcast_lhs, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_broadcast_rhs, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_PairwiseDistance_with_non_default_args, test/test_jit.py::TestJitGeneratedModule::test_nn_PixelShuffle, test/test_jit.py::TestJitGeneratedModule::test_nn_PixelUnshuffle, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_none, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_batch_dim_sum, test/test_jit.py::TestJitGeneratedModule::test_nn_PoissonNLLLoss_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_RNNCell, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_with_up_down, test/test_jit.py::TestJitGeneratedModule::test_nn_RReLU_with_up_down_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_ReLU6_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_ReLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d_complex, test/test_jit.py::TestJitGeneratedModule::test_nn_ReplicationPad3d_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SELU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SiLU_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_Sigmoid_no_batch_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_beta, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_mean, test/test_jit.py::TestJitGeneratedModule::test_nn_SmoothL1Loss_no_batch_dim_none, 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test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_linear_tuple_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_1d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d_launch_configs, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_2d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_3d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_scale_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_1d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_2d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_nearest_tuple_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_3d_zero_dim, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_scale_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_scale_3d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_tuple_3d, test/test_jit.py::TestJitGeneratedModule::test_nn_interpolate_trilinear_tuple_3d_align_corners, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_dim0, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_dim3, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_lastdim, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_spatial, test/test_jit.py::TestJitGeneratedModule::test_nn_log_softmax_spatial_special, test/test_jit.py::TestJitGeneratedModule::test_nn_multimarginloss_1d_input_0d_target_no_reduce, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_dim0, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_dim3, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_functional_scalar, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_lastdim, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_lastdim_dtype, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial_dtype, test/test_jit.py::TestJitGeneratedModule::test_nn_softmax_spatial_special, test/test_jit.py::TestProducerVersion::test_version
2025-09-07T07:01:34.6875270Z 
2025-09-07T07:01:36.6644130Z Running nn/test_multihead_attention 1/1 ... [2025-09-07 07:01:36.664211]
2025-09-07T07:01:36.6644940Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:01:36.6647360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'nn/test_multihead_attention.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:01:36.664520]
2025-09-07T07:01:46.0174820Z 
2025-09-07T07:01:46.0175570Z nn/test_multihead_attention 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_multihead_attention_1.1_af29edec8dfc4456_.log
2025-09-07T07:01:46.0185820Z Running 19 items in this shard: test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attention_average_attn_weights_False, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attention_average_attn_weights_True, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_3d_attn_mask, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_fast_path_invalid_shape, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_invalid_shape, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_nested_tensor_outside_fast_path, test/nn/test_multihead_attention.py::TestMultiheadAttentionNN::test_multihead_attn_no_bias, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float16, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float32, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_batch_first_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float16, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float32, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attention_dtype_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_fast_path_query_and_bias_have_different_dtypes_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_fast_path_small_test_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_in_proj_bias_none_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_attn_in_proj_weight_none_cpu_float64, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_self_attn_two_masks_fast_path_cpu, test/nn/test_multihead_attention.py::TestMultiheadAttentionNNDeviceTypeCPU::test_multihead_self_attn_two_masks_fast_path_mock_cpu
2025-09-07T07:01:46.0192110Z 
2025-09-07T07:01:48.1305330Z Running inductor/test_snode_runtime 1/1 ... [2025-09-07 07:01:48.130294]
2025-09-07T07:01:48.1305790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:01:48.1306620Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_snode_runtime.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:01:48.130562]
2025-09-07T07:01:49.7623270Z 
2025-09-07T07:01:49.7624030Z export/test_export_training_ir_to_run_decomp 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_export_training_ir_to_run_decomp_1.1_ef569ab1fc1e7ab6_.log
2025-09-07T07:01:49.8001560Z Running 832 items in this shard: test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_assume_static_by_default_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_constraints_error_not_in_range_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_constraints_error_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_inline_constraints_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_slice_maxsize_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_slice_unbacked_dim1_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_export_strict_narrow_unbacked_expr_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_no_grad_param_inplace_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestDynamismExpression::test_reshape_view_backed_size_oblivious_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_assume_static_by_default_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_constraints_error_not_in_range_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_constraints_error_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_inline_constraints_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_slice_maxsize_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_slice_unbacked_dim1_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_export_strict_narrow_unbacked_expr_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_no_grad_param_inplace_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestDynamismExpression::test_reshape_view_backed_size_oblivious_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test__scaled_dot_product_flash_attention_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_additional_inputs_constants_training_ir_to_decomp_strict, 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test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_automatic_dynamic_shapes_constant_relation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_automatic_dynamic_shapes_linear_relation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_automatic_dynamic_shapes_simple_equality_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_baddbmm_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_basic_non_strict_fake_tensor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_basic_non_strict_real_tensor_training_ir_to_decomp_strict, 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test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_compiling_state_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_access_identical_symint_closure_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_branches_return_constant_int_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_branches_return_same_int_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_buffers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_contains_unbacked_no_escape_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_int_closure_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_unflatten_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_with_module_stack_export_with_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_cond_with_module_stack_export_with_unflatten_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_aliasing_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_input_naming_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_no_user_inp_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_output_dup_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_output_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_requires_grad_const_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_return_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_tensor_mutation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_tensor_with_non_functional_nested_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constant_tensor_with_non_functional_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constrain_decomp_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constrain_size_in_eager_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constrain_size_with_constrain_value_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_constrain_size_with_various_cases_training_ir_to_decomp_strict, 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test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_custom_op_preserve_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_custom_pytree_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_custom_tag_metadata_re_export_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_decomp_batch_norm_functional_predispatch_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_decomp_item_in_prim_after_decomposition_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_decomp_item_in_prim_before_decomposition_training_ir_to_decomp_strict, 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test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_associative_scan_lifted_buffers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_associative_scan_symbol_dim_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_associative_scan_symbol_scandim_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_aten_to_unflatten_subclass_pre_dispatch_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_aten_to_unflatten_subclass_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_aten_to_unflatten_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_cond_symbool_pred_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_cond_warns_constant_pred_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_custom_decomp_table_basic_pop_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_custom_decomp_table_container_methods_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_custom_op_lib_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_custom_triton_kernel_mutable_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_custom_triton_kernel_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_cyclic_reference_leak_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_decomp_torture_case_1_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_decomp_torture_case_2_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_decomps_dynamic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_decomps_simple_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_dynamo_config_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_run_decomp_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_with_container_type_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_with_dynamic_shapes_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_with_mutation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_for_training_with_state_dict_hooks_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_default_kwargs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_keyword_only_args_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_kwargs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_pytree_kwargs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_var_keyword_args_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_var_keyword_pytree_args_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_func_with_var_postional_args_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_function_schema_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_graph_with_no_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_input_mutation_bug_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_input_mutation_dynamic_shape_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_input_mutation_static_shape_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_linear_preserve_dynamic_shape_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_max_nonstrict_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_max_onnx_reported_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_method_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_mod_constraints_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_module_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_preserve_linear_at_aot_level_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_preserve_linear_but_not_custom_op_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_scan_pytree_output_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_script_module_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_statically_known_true_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_then_compile_tensor_ctor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_autocast_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_fake_tensor_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_inline_constraints_complex_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_inline_constraints_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_set_grad_enabled_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_export_with_wrong_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_external_call_non_strict_real_tensor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_fake_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_fake_weights_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_filter_traceback_frames_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_float_conversion_from_int_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_float_conversion_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_fqn_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_from_node_metadata_export_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_full_on_scalar_tensor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_function_holding_tensor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_hints_wrapper_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_hoo_inline_users_issue_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_if_functional_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_if_post_autograd_op_preserved_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_inline_script_class_method_recursive_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_inline_script_class_method_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_inline_script_function_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_inline_script_method_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_int_shape_specialization_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_intermediate_shape_comp_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_is_exporting_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_is_non_negative_check_function_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_is_nonzero_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_isnonzero_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_issue_113041_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_issue_157289_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_istft_op_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_keep_composite_ops_invalid_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_keep_composite_ops_linear_convd_for_training_ir_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_keep_composite_ops_linear_convd_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_kwarg_dynamic_shapes_diff_order_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_kwargs_reorder_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_layer_norm_unbacked_normalized_shape_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_layer_sharing_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_lazy_module_kwargs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_lifted_constants_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_linear_conv_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_malformed_fqn_from_source_name_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_map_buffers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_map_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_mask_nonzero_static_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_masked_select_dynamic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_math_pow_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_mismatched_dynamic_shapes_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_mixed_input_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_dict_key_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_input_subclasses_parameterization_nested_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_input_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_list_slice_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_module_with_dict_container_inp_out_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_modules_access_for_deleted_submodule_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_more_multidimensional_slicing_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_multidimensional_slicing_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_multinomial_dynamic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_multiple_definitions_same_name_dim_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_dynamic_shapes_spec_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_module_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_module_with_constant_buffer_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_module_with_init_buffer_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nested_module_with_parameter_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nn_module_stack_shared_submodule_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nn_module_stack_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_check_is_size_error_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_suggested_fixes_for_data_dependent_errors_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_tensor_computation_2_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_tensor_computation_3_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_tensor_computation_4_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_no_tensor_computation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_arg_name_dynamic_shapes_api_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_persistent_buffer_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_strict_dynamic_shapes_suggested_fixes_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_non_strict_dynamic_shapes_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_none_buffers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nonstrict_retrace_preserves_metadata_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nonzero_2_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_nonzero_dynamic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_not_registered_parameter_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_operator_aten_tensor_mode_variant_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_output_node_name_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_pad_sequence_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_param_util_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_partial_patched_forward_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_placeholder_naming_collisions_hoo_subgraphs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_placeholder_naming_collisions_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_placeholder_naming_order_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_placeholder_naming_order_variadic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_placeholder_update_preserving_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_predispatch_cond_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_predispatch_grad_wrappers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_preserve_module_call_signature_unflatten_specialization_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_preserve_requires_grad_placeholders_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_preserve_shape_dynamism_for_unused_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_profiling_code_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_python_asserts_with_sym_int_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_pytree_register_data_class_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_pytree_register_nested_data_class_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_range_constraints_with_replacement_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_real_tensor_alias_dtype_mismatch_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_real_tensor_bool_cast_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_real_tensor_errors_on_aliasing_custom_op_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_real_tensor_for_max_op_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_real_tensor_size_mismatch_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_redundant_assert_max_upper_bound_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_redundant_asserts_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_refine_dynamic_shapes_from_suggested_fixes_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_register_constant_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_repeat_interleave_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_replace_unbacked_with_very_large_upperbound_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_replaced_unbacked_bindings_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_reshape_view_helper_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_retracable_ep_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_retrace_pre_autograd_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_run_decomposition_supports_user_input_mutation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_run_decompositions_keep_metadata_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_run_decompositions_keep_tensor_constant_metadata_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_runtime_assert_for_prim_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_runtime_assert_for_prm_str_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_runtime_assert_with_size_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_sdpa_gqa_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_sequential_slicing_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_set_example_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_set_grad_as_side_effect_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_set_grad_empty_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_set_grad_unflatten_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_setgrad_lifted_tensor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_shared_submodule_nn_module_stack_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_simple_export_for_training_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_simple_unbacked_view_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_size_input_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_slice_nn_module_stack_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_solver_unsupported_sympy_function_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_specialize_derived_dim_roots_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_split_const_gm_with_lifted_constants_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_stack_trace_make_fx_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_stack_trace_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_state_primitives_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_state_shape_attribute_assignment_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_state_tensors_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_static_dim_constraints_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclass_nested_attr_access_complicated_metadata_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclass_nested_attr_access_const_metadata_not_top_level_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclass_nested_attr_access_const_metadata_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclass_nested_attr_access_submodule_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclass_nested_attr_access_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclasses_parameterization_nested_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_subclasses_parameterization_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_suggest_torch_checks_with_non_negative_check_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_suggest_torch_checks_with_regular_check_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_suggested_fixes_for_data_dependent_errors_basic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_suggested_fixes_new_roots_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_sym_float_operators_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_sym_or_sym_and_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_sym_sqrt_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symbool_item_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symfloat_item_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_input_additional_inputs_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_input_basic_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_input_ranges_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_input_shapes_collection_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_input_specialization_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_item_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_output_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_symint_tensor_return_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_tensor_attribute_zero_args_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_tensor_constant_aten_to_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_tensor_constant_with_wrapped_method_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_to_module_with_mutated_buffer_multiple_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_to_module_with_mutated_buffer_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_tolist_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_torch_check_eq_commutativity_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_torch_fn_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_trace_under_fake_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_train_eval_on_exported_preautograd_module_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_3d_matmul_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_bincount_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_bindings_for_divisible_u_symint_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_deferred_runtime_retrace_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_expand_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_infer_size_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_kth_value_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_linear_layer_norm_input_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_noncontig_lin_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_pad_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_scalar_constructor_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_slice_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_to_cond_passthrough_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_to_cond_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unbacked_unsqueeze_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_asserts_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_buffer_update_child2parent_swap_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_closure_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_isinstance_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_multiple_graphs_dispatch_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_multiple_graphs_preserve_signature_no_error_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_multiple_graphs_shared_submodule_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_multiple_graphs_state_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_no_unroll_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_placeholder_update_child2parent_swap_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_placeholder_update_grandchild2cousin_swap_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_5_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_6_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_buf_8_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_const_preserving_3_1_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_const_preserving_3_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_4_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_6_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_9_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_10_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_5_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_mutating_buf_preserving_7_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unflatten_random_dag_preserving_4_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unused_aliases_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_unused_constant_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_use_embedding_twice_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_user_input_and_buffer_mutation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_vmap_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_while_loop_assert_separation_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_while_loop_index_assertions_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_while_loop_simple_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_while_loop_tensor_constant_idx_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportTestExport::test_wrapper_module_training_ir_to_decomp_strict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test__scaled_dot_product_flash_attention_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_additional_inputs_constants_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_allow_explicit_guards_as_runtime_asserts_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_args_type_checked_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_aten_lift_fresh_copy_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_attention_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_attr_assignment_extra_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_automatic_constrain_size_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_automatic_dynamic_shapes_constant_relation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_automatic_dynamic_shapes_linear_relation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_automatic_dynamic_shapes_simple_equality_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_baddbmm_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_basic_non_strict_fake_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_basic_non_strict_real_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_basic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_bincount_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_buffer_util_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_capture_subclass_constructor_torch_ir_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_capture_subclass_constructor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_capture_subclass_wrong_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_ccode_python_mod_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_check_specialized_int_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_checks_to_constrain_range_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cleanup_dynamic_markers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_colin_unbacked_backed_vr_sub_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_colon_parameter_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_compiling_state_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_access_identical_symint_closure_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_branches_return_constant_int_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_branches_return_same_int_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_buffers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_contains_unbacked_no_escape_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_int_closure_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_unflatten_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_with_module_stack_export_with_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cond_with_module_stack_export_with_unflatten_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_aliasing_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_input_naming_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_no_user_inp_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_output_dup_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_output_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_requires_grad_const_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_return_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_tensor_mutation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_tensor_with_non_functional_nested_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constant_tensor_with_non_functional_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constrain_decomp_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constrain_size_in_eager_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constrain_size_with_constrain_value_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_constrain_size_with_various_cases_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_conv_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_crop_like_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_cse_for_symint_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_op_auto_functionalize_pre_dispatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_op_auto_functionalize_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_op_auto_warn_pre_dispatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_op_preserve_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_pytree_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_custom_tag_metadata_re_export_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_decomp_batch_norm_functional_predispatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_decomp_item_in_prim_after_decomposition_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_decomp_item_in_prim_before_decomposition_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_default_decomposition_core_cia_ops_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_1_2_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_basic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_integer_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_nested_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_out_of_order_repeat_derived_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_out_of_order_simplified_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_out_of_order_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_derived_dim_repeat_derived_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_detect_leak_nonstrict_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_detect_leak_nonstrict_with_stacktrace_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_detect_leak_strict_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_gpu_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_mutation_float_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_mutation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_device_to_static_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_1_2_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_auto_and_dim_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_dynamic_divisibility_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_dynamic_specialization_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_hint_range_violations_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dim_hint_ranges_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_disable_forced_specializations_errors_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_disable_forced_specializations_ok_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_distributed_all_gather_into_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_distributed_all_gather_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_distributed_all_reduce_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_distributed_all_to_all_single_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_distributed_reduce_scatter_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dont_duck_size_for_auto_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_double_lifted_constants_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_draft_export_checks_aliasing_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_draft_export_checks_mutation_list_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_draft_export_checks_mutation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_draft_export_checks_mutation_with_nan_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_draft_export_fake_kernel_inference_errors_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_draft_export_infers_fake_kernel_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_duplicate_modules_with_non_persistent_buffers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_lr_shift_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_bounds_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_builder_basic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_builder_kwargs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_builder_pytree_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_dataclass_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_inferred_basic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_serdes_generic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_serdes_user_errors_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_serdes_various_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_shapes_spec_with_pytree_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_dynamic_sym_round_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_ends_of_bounds_oblivious_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_error_does_not_reference_eager_fallback_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_error_when_passing_mutating_primitive_op_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_exception_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_expand_copy_export_handles_implicit_true_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_api_with_dynamic_shapes_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_as_backend_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_associative_scan_lifted_buffers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_associative_scan_symbol_dim_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_associative_scan_symbol_scandim_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_aten_to_unflatten_subclass_pre_dispatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_aten_to_unflatten_subclass_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_aten_to_unflatten_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_cond_symbool_pred_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_cond_warns_constant_pred_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_custom_decomp_table_basic_pop_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_custom_decomp_table_container_methods_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_custom_op_lib_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_custom_triton_kernel_mutable_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_custom_triton_kernel_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_cyclic_reference_leak_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_decomp_torture_case_1_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_decomp_torture_case_2_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_decomps_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_decomps_simple_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_dynamo_config_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_run_decomp_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_with_container_type_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_with_dynamic_shapes_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_with_mutation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_for_training_with_state_dict_hooks_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_default_kwargs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_keyword_only_args_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_kwargs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_pytree_kwargs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_var_keyword_args_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_var_keyword_pytree_args_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_func_with_var_postional_args_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_function_schema_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_graph_with_no_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_input_mutation_bug_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_input_mutation_dynamic_shape_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_input_mutation_static_shape_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_linear_preserve_dynamic_shape_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_max_nonstrict_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_max_onnx_reported_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_method_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_mod_constraints_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_module_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_preserve_linear_at_aot_level_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_preserve_linear_but_not_custom_op_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_scan_pytree_output_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_script_module_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_statically_known_true_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_then_compile_tensor_ctor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_autocast_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_fake_tensor_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_inline_constraints_complex_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_inline_constraints_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_set_grad_enabled_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_export_with_wrong_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_external_call_non_strict_real_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_fake_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_fake_weights_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_filter_traceback_frames_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_float_conversion_from_int_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_float_conversion_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_fqn_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_from_node_metadata_export_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_full_on_scalar_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_function_holding_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_hints_wrapper_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_hoo_inline_users_issue_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_if_functional_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_if_post_autograd_op_preserved_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_inline_script_class_method_recursive_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_inline_script_class_method_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_inline_script_function_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_inline_script_method_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_int_shape_specialization_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_intermediate_shape_comp_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_is_exporting_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_is_non_negative_check_function_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_is_nonzero_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_isnonzero_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_issue_113041_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_issue_157289_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_istft_op_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_keep_composite_ops_invalid_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_keep_composite_ops_linear_convd_for_training_ir_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_keep_composite_ops_linear_convd_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_kwarg_dynamic_shapes_diff_order_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_kwargs_reorder_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_layer_norm_unbacked_normalized_shape_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_layer_sharing_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_lazy_module_kwargs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_lifted_constants_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_linear_conv_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_malformed_fqn_from_source_name_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_map_buffers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_map_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_mask_nonzero_static_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_masked_select_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_math_pow_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_mismatched_dynamic_shapes_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_mixed_input_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_dict_key_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_input_subclasses_parameterization_nested_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_input_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_list_slice_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_module_with_dict_container_inp_out_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_modules_access_for_deleted_submodule_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_more_multidimensional_slicing_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_multidimensional_slicing_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_multinomial_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_multiple_definitions_same_name_dim_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_dynamic_shapes_spec_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_module_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_module_with_constant_buffer_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_module_with_init_buffer_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nested_module_with_parameter_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nn_module_stack_shared_submodule_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nn_module_stack_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_check_is_size_error_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_suggested_fixes_for_data_dependent_errors_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_tensor_computation_2_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_tensor_computation_3_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_tensor_computation_4_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_no_tensor_computation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_persistent_buffer_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_strict_dynamic_shapes_suggested_fixes_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_non_strict_dynamic_shapes_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_none_buffers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nonstrict_retrace_preserves_metadata_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nonzero_2_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_nonzero_dynamic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_not_registered_parameter_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_operator_aten_tensor_mode_variant_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_output_node_name_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_pad_sequence_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_param_util_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_partial_patched_forward_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_placeholder_naming_collisions_hoo_subgraphs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_placeholder_naming_collisions_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_placeholder_naming_order_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_placeholder_naming_order_variadic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_placeholder_update_preserving_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_predispatch_cond_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_predispatch_grad_wrappers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_preserve_module_call_signature_unflatten_specialization_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_preserve_requires_grad_placeholders_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_preserve_shape_dynamism_for_unused_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_profiling_code_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_python_asserts_with_sym_int_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_pytree_register_data_class_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_pytree_register_nested_data_class_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_range_constraints_with_replacement_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_real_tensor_alias_dtype_mismatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_real_tensor_bool_cast_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_real_tensor_errors_on_aliasing_custom_op_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_real_tensor_for_max_op_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_real_tensor_size_mismatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_redundant_assert_max_upper_bound_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_redundant_asserts_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_refine_dynamic_shapes_from_suggested_fixes_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_register_constant_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_repeat_interleave_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_replace_unbacked_with_very_large_upperbound_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_replaced_unbacked_bindings_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_reshape_view_helper_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_retracable_ep_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_retrace_pre_autograd_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_run_decomposition_supports_user_input_mutation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_run_decompositions_keep_metadata_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_run_decompositions_keep_tensor_constant_metadata_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_runtime_assert_for_prim_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_runtime_assert_for_prm_str_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_runtime_assert_with_size_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_sdpa_gqa_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_sequential_slicing_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_set_example_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_set_grad_as_side_effect_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_set_grad_empty_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_set_grad_unflatten_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_setgrad_lifted_tensor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_shared_submodule_nn_module_stack_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_simple_export_for_training_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_simple_unbacked_view_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_size_input_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_slice_nn_module_stack_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_solver_unsupported_sympy_function_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_specialize_derived_dim_roots_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_split_const_gm_with_lifted_constants_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_stack_trace_make_fx_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_stack_trace_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_state_primitives_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_state_shape_attribute_assignment_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_state_tensors_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_static_dim_constraints_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclass_nested_attr_access_complicated_metadata_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclass_nested_attr_access_const_metadata_not_top_level_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclass_nested_attr_access_const_metadata_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclass_nested_attr_access_submodule_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclass_nested_attr_access_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclasses_parameterization_nested_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_subclasses_parameterization_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_suggest_torch_checks_with_non_negative_check_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_suggest_torch_checks_with_regular_check_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_suggested_fixes_for_data_dependent_errors_basic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_suggested_fixes_new_roots_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_sym_float_operators_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_sym_or_sym_and_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_sym_sqrt_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symbool_item_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symfloat_item_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_input_additional_inputs_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_input_basic_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_input_ranges_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_input_shapes_collection_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_input_specialization_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_item_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_output_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_symint_tensor_return_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_tensor_attribute_zero_args_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_tensor_constant_aten_to_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_tensor_constant_with_wrapped_method_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_to_module_with_mutated_buffer_multiple_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_to_module_with_mutated_buffer_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_tolist_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_torch_check_eq_commutativity_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_torch_fn_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_trace_under_fake_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_train_eval_on_exported_preautograd_module_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_3d_matmul_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_bincount_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_bindings_for_divisible_u_symint_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_deferred_runtime_retrace_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_expand_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_infer_size_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_kth_value_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_linear_layer_norm_input_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_noncontig_lin_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_pad_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_scalar_constructor_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_slice_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_to_cond_passthrough_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_to_cond_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unbacked_unsqueeze_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_asserts_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_buffer_update_child2parent_swap_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_closure_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_isinstance_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_multiple_graphs_dispatch_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_multiple_graphs_preserve_signature_no_error_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_multiple_graphs_shared_submodule_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_multiple_graphs_state_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_no_unroll_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_placeholder_update_child2parent_swap_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_placeholder_update_grandchild2cousin_swap_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_5_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_6_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_buf_8_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_const_preserving_3_1_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_const_preserving_3_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_4_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_6_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_9_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_10_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_5_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_mutating_buf_preserving_7_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unflatten_random_dag_preserving_4_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unused_aliases_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_unused_constant_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_use_embedding_twice_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_user_input_and_buffer_mutation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_vmap_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_while_loop_assert_separation_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_while_loop_index_assertions_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_while_loop_simple_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_while_loop_tensor_constant_idx_training_ir_to_decomp_nonstrict, test/export/test_export_training_ir_to_run_decomp.py::TrainingIRToRunDecompExportNonStrictTestExport::test_wrapper_module_training_ir_to_decomp_nonstrict
2025-09-07T07:01:49.8355840Z 
2025-09-07T07:01:51.1212720Z 
2025-09-07T07:01:51.1213590Z inductor/test_snode_runtime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_snode_runtime_1.1_19c716ec6a4e47c7_.log
2025-09-07T07:01:51.1214100Z 
2025-09-07T07:01:51.9767770Z Running distributions/test_constraints 1/1 ... [2025-09-07 07:01:51.976594]
2025-09-07T07:01:51.9769220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:01:51.9771800Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'distributions/test_constraints.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:01:51.976850]
2025-09-07T07:01:53.3241850Z Running functorch/test_ac_knapsack 1/1 ... [2025-09-07 07:01:53.324011]
2025-09-07T07:01:53.3242180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:01:53.3245190Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'functorch/test_ac_knapsack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:01:53.324269]
2025-09-07T07:01:54.3536430Z 
2025-09-07T07:01:54.3538340Z distributions/test_constraints 1/1 was successful, full logs can be found in artifacts with path test/test-reports/distributions.test_constraints_1.1_e20b67c8649256cf_.log
2025-09-07T07:01:54.3570580Z Running 136 items in this shard: test/distributions/test_constraints.py::test_constraint[False-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[False-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[False-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[False-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[False-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[False-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[False-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[False-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[False-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[False-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[False-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[False-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[False-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[False-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[False-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[False-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[False-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[False-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_constraint[True-constraint_fn0-False-value0], test/distributions/test_constraints.py::test_constraint[True-constraint_fn1-False-value1], test/distributions/test_constraints.py::test_constraint[True-constraint_fn2-False-value2], test/distributions/test_constraints.py::test_constraint[True-constraint_fn3-True-value3], test/distributions/test_constraints.py::test_constraint[True-constraint_fn4-False-value4], test/distributions/test_constraints.py::test_constraint[True-constraint_fn5-False-value5], test/distributions/test_constraints.py::test_constraint[True-constraint_fn6-True-value6], test/distributions/test_constraints.py::test_constraint[True-constraint_fn7-True-value7], test/distributions/test_constraints.py::test_constraint[True-constraint_fn8-False-value8], test/distributions/test_constraints.py::test_constraint[True-constraint_fn9-True-value9], test/distributions/test_constraints.py::test_constraint[True-constraint_fn10-False-value10], test/distributions/test_constraints.py::test_constraint[True-constraint_fn11-False-value11], test/distributions/test_constraints.py::test_constraint[True-constraint_fn12-True-value12], test/distributions/test_constraints.py::test_constraint[True-constraint_fn13-True-value13], test/distributions/test_constraints.py::test_constraint[True-constraint_fn14-False-value14], test/distributions/test_constraints.py::test_constraint[True-constraint_fn15-True-value15], test/distributions/test_constraints.py::test_constraint[True-constraint_fn16-True-value16], test/distributions/test_constraints.py::test_constraint[True-constraint_fn17-True-value17], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[False-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_biject_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_biject_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args15], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args16], test/distributions/test_constraints.py::test_biject_to[True-_Interval-args17], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_biject_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_biject_to[True-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[False-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[False-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[False-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[False-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[False-constraint_fn24-args24], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn0-args0], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn1-args1], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn2-args2], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args3], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args4], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args5], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThan-args6], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args7], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args8], test/distributions/test_constraints.py::test_transform_to[True-_GreaterThanEq-args9], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args10], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args11], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args12], test/distributions/test_constraints.py::test_transform_to[True-_LessThan-args13], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn14-args14], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args15], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args16], test/distributions/test_constraints.py::test_transform_to[True-_Interval-args17], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args18], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args19], test/distributions/test_constraints.py::test_transform_to[True-_HalfOpenInterval-args20], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn21-args21], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn22-args22], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn23-args23], test/distributions/test_constraints.py::test_transform_to[True-constraint_fn24-args24]
2025-09-07T07:01:54.3601000Z 
2025-09-07T07:01:55.5983630Z 
2025-09-07T07:01:55.5984790Z functorch/test_ac_knapsack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ac_knapsack_1.1_75f13ab971b47a39_.log
2025-09-07T07:01:55.5990190Z Running 15 items in this shard: test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_full_joint_nx_graph, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_get_knapsack_memory_input, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_get_knapsack_runtime_input, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_get_non_ac_peak_memory, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_get_theoretical_max_runtime, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_inialize_from_graph, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_recomputable_node_only_graph, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_recomputable_node_only_graph_with_larger_graph_context, test/functorch/test_ac_knapsack.py::TestGraphInfoProvider::test_simplified_fx_joint_graph, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_evaluate_distribution_of_results_for_knapsack_algo, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_evaluate_knapsack_output_accounting_for_backward_pass, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_evaluate_knapsack_output_not_accounting_for_backward_pass, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_evaluate_knapsack_output_with_wrong_sized_values, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_get_backward_memory_from_topologically_sorted_graph, test/functorch/test_ac_knapsack.py::TestKnapsackEvaluator::test_get_knee_point_memory_budget
2025-09-07T07:01:55.5994350Z 
2025-09-07T07:01:56.5842550Z Running profiler/test_record_function 1/1 ... [2025-09-07 07:01:56.584039]
2025-09-07T07:01:56.5843390Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:01:56.5844800Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'profiler/test_record_function.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:01:56.584313]
2025-09-07T07:01:57.7727120Z Running export/test_serialize 1/1 ... [2025-09-07 07:01:57.772499]
2025-09-07T07:01:57.7728170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:01:57.7730300Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_serialize.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:01:57.772746]
2025-09-07T07:01:58.7532310Z 
2025-09-07T07:01:58.7533150Z profiler/test_record_function 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_record_function_1.1_65c6a555ff7da4ff_.log
2025-09-07T07:01:58.7535460Z Running 4 items in this shard: test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_delegation_with_profiler, test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_with_record_function, test/profiler/test_record_function.py::TestRecordFunction::test_datapipe_with_record_function_fork, test/profiler/test_record_function.py::TestRecordFunction::test_record_function
2025-09-07T07:01:58.7536810Z 
2025-09-07T07:02:00.7656980Z Running test_ops_gradients 1/1 ... [2025-09-07 07:02:00.765507]
2025-09-07T07:02:00.7657730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:02:00.7659780Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_ops_gradients.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:02:00.765788]
2025-09-07T07:02:05.4702580Z 
2025-09-07T07:02:05.4704070Z export/test_serialize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_serialize_1.1_97624e00a6ee0a26_.log
2025-09-07T07:02:05.4729530Z Running 108 items in this shard: test/export/test_serialize.py::TestSerialize::test_canonicalize, test/export/test_serialize.py::TestSerialize::test_complex_constant, test/export/test_serialize.py::TestSerialize::test_empty_constant, test/export/test_serialize.py::TestSerialize::test_empty_state_dict, test/export/test_serialize.py::TestSerialize::test_export_example_inputs_preserved, test/export/test_serialize.py::TestSerialize::test_export_with_extension_op_serialization, test/export/test_serialize.py::TestSerialize::test_int_list, test/export/test_serialize.py::TestSerialize::test_kwargs_default, test/export/test_serialize.py::TestSerialize::test_metadata_parsing_with_layer_split, test/export/test_serialize.py::TestSerialize::test_metadata_run_decomp_serder, test/export/test_serialize.py::TestSerialize::test_multi_return_some_unused, test/export/test_serialize.py::TestSerialize::test_nested_layer_split, test/export/test_serialize.py::TestSerialize::test_nonfinite_inputs, test/export/test_serialize.py::TestSerialize::test_predispatch_export_with_autograd_op, test/export/test_serialize.py::TestSerialize::test_preserve_aliasing, test/export/test_serialize.py::TestSerialize::test_rational_ranges, test/export/test_serialize.py::TestSerialize::test_serialize_constant_outputs, test/export/test_serialize.py::TestSerialize::test_serialize_infinite_sym_int, test/export/test_serialize.py::TestSerialize::test_serialize_list_returns, test/export/test_serialize.py::TestSerialize::test_serialize_multiple_returns_from_node, test/export/test_serialize.py::TestSerialize::test_serialize_param_mutation, test/export/test_serialize.py::TestSerialize::test_serialize_sym_float, test/export/test_serialize.py::TestSerialize::test_serialize_sym_int, test/export/test_serialize.py::TestSerialize::test_storage_offset, test/export/test_serialize.py::TestSerialize::test_symint_list, test/export/test_serialize.py::TestSerialize::test_triton_hop, test/export/test_serialize.py::TestDeserialize::test_arg_from, test/export/test_serialize.py::TestDeserialize::test_auto_functionalize, test/export/test_serialize.py::TestDeserialize::test_basic, test/export/test_serialize.py::TestDeserialize::test_cond, test/export/test_serialize.py::TestDeserialize::test_constraints, test/export/test_serialize.py::TestDeserialize::test_custom_obj, test/export/test_serialize.py::TestDeserialize::test_custom_obj_list_out, test/export/test_serialize.py::TestDeserialize::test_custom_obj_tuple_out, test/export/test_serialize.py::TestDeserialize::test_device, test/export/test_serialize.py::TestDeserialize::test_dynamic, test/export/test_serialize.py::TestDeserialize::test_export_no_inputs, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_assume_constant_result, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_autograd_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_class_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_class_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_nested_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_branch_nonlocal_variables, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_closed_over_variable, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_operands, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_cond_predicate, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_constrain_as_size_example, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_constrain_as_value_example, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_decorator, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dictionary, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_assert, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_constructor, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_if_guard, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_map, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_slicing, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_dynamic_shape_view, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_fn_with_kwargs, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_list_contains, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_list_unpack, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_nested_function, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_null_context_manager, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_pytree_flatten, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_scalar_output, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_specialized_attribute, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_static_for_loop, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_static_if, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_tensor_setattr, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_type_reflection_method, test/export/test_serialize.py::TestDeserialize::test_exportdb_supported_case_user_input_mutation, test/export/test_serialize.py::TestDeserialize::test_forward_compatibility, test/export/test_serialize.py::TestDeserialize::test_get_attr, test/export/test_serialize.py::TestDeserialize::test_get_attr_list, test/export/test_serialize.py::TestDeserialize::test_hoo_symint_input, test/export/test_serialize.py::TestDeserialize::test_list_of_optional_tensors, test/export/test_serialize.py::TestDeserialize::test_map, test/export/test_serialize.py::TestDeserialize::test_module, test/export/test_serialize.py::TestDeserialize::test_module_meta, test/export/test_serialize.py::TestDeserialize::test_multi_return, test/export/test_serialize.py::TestDeserialize::test_multiple_getitem, test/export/test_serialize.py::TestDeserialize::test_none_input, test/export/test_serialize.py::TestDeserialize::test_optional_tuple, test/export/test_serialize.py::TestDeserialize::test_positional_argument_with_default_value, test/export/test_serialize.py::TestDeserialize::test_pytree_namedtuple, test/export/test_serialize.py::TestDeserialize::test_serialize_float8, test/export/test_serialize.py::TestDeserialize::test_shape, test/export/test_serialize.py::TestDeserialize::test_sym_bool, test/export/test_serialize.py::TestDeserialize::test_sym_bool_dynamic_shapes, test/export/test_serialize.py::TestDeserialize::test_sym_bool_torch_check_equal, test/export/test_serialize.py::TestDeserialize::test_sym_float, test/export/test_serialize.py::TestDeserialize::test_sym_int_torch_check_equal, test/export/test_serialize.py::TestDeserialize::test_sym_ite, test/export/test_serialize.py::TestDeserialize::test_tensor_tensor_list, test/export/test_serialize.py::TestDeserialize::test_unbacked_bindings_serialize, test/export/test_serialize.py::TestSchemaVersioning::test_error, test/export/test_serialize.py::TestSaveLoad::test_save_buffer, test/export/test_serialize.py::TestSaveLoad::test_save_constants, test/export/test_serialize.py::TestSaveLoad::test_save_extra, test/export/test_serialize.py::TestSaveLoad::test_save_file, test/export/test_serialize.py::TestSaveLoad::test_save_path, test/export/test_serialize.py::TestSaveLoad::test_version_error, test/export/test_serialize.py::TestSerializeCustomClass::test_backed_size_oblivious_serdes, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class_containing_fake_tensor, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_class_input_to_function, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_copy, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_decomp, test/export/test_serialize.py::TestSerializeCustomClass::test_custom_tag_metadata_serialization, test/export/test_serialize.py::TestSerializeCustomClass::test_unbacked_range_serdes
2025-09-07T07:02:05.4751830Z 
2025-09-07T07:02:07.4721180Z Running functorch/test_vmap 1/1 ... [2025-09-07 07:02:07.471889]
2025-09-07T07:02:07.4721960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:02:07.4724500Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'functorch/test_vmap.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:02:07.472149]
2025-09-07T07:07:06.1206840Z 
2025-09-07T07:07:06.1208150Z test_ops_gradients 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_ops_gradients_1.1_c6fc582609c5dbf5_.log
2025-09-07T07:07:06.2547750Z Running 5391 items in this shard: test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_H_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyCatCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyCubeCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyMulCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyMulScalarCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyNMSCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyNonzeroCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpySortCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpySplitCopyCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpySplitCopyWithIntCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyTakeCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_NumpyViewCopyCustomOp_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_T_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_T_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___getitem___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___getitem___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___radd___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___radd___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rdiv___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rdiv___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmatmul___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmatmul___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmod___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmul___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rmul___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rpow___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rpow___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rsub___cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad___rsub___cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__batch_norm_with_update_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__chunk_cat_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__chunk_cat_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__native_batch_norm_legit_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__segment_reduce_lengths_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__segment_reduce_offsets_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__softmax_backward_data_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__unsafe_masked_index_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__unsafe_masked_index_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__unsafe_masked_index_put_accumulate_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad__upsample_bilinear2d_aa_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_abs_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_abs_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acos_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acos_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acosh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_acosh_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_add_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_add_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addbmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addbmm_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addcdiv_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addcdiv_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addcmul_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addcmul_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_decomposed_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmm_decomposed_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmv_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addmv_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addr_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_addr_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_alias_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_alias_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_all_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_all_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_allclose_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_allclose_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_amax_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_amin_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_aminmax_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_angle_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_angle_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_any_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_any_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_arange_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argmax_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argmin_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argsort_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argwhere_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_argwhere_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_copy_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_copy_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_partial_views_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_partial_views_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_scatter_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_as_strided_scatter_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asin_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asin_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asinh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_asinh_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atan2_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atan_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atan_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atanh_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atanh_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_1d_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_1d_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_2d_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_2d_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_3d_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_atleast_3d_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_baddbmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_baddbmm_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bernoulli_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bfloat16_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bfloat16_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_block_diag_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_block_diag_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bmm_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bmm_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bool_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bool_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_broadcast_tensors_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_broadcast_tensors_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_broadcast_to_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_broadcast_to_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_bucketize_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_byte_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_byte_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cartesian_prod_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cartesian_prod_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cat_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_fn_fail_gradgrad_cat_cpu_float64, 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test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_cpu_float64, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_complex128, test/test_ops_gradients.py::TestBwdGradientsCPU::test_inplace_gradgrad_zeros_like_cpu_float64
2025-09-07T07:07:06.3815130Z 
2025-09-07T07:07:08.3144840Z Running dynamo/test_flat_apply 1/1 ... [2025-09-07 07:07:08.314273]
2025-09-07T07:07:08.3145640Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:08.3147580Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_flat_apply.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:08.314561]
2025-09-07T07:07:10.9397420Z 
2025-09-07T07:07:10.9400970Z dynamo/test_flat_apply 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_flat_apply_1.1_3fbe27b5c5d69d7d_.log
2025-09-07T07:07:10.9403050Z Running 4 items in this shard: test/dynamo/test_flat_apply.py::FlatApplyTests::test_non_tensor_output, test/dynamo/test_flat_apply.py::FlatApplyTests::test_nonstrict_trace_captured_tensor_post_aot_graph, test/dynamo/test_flat_apply.py::FlatApplyTests::test_nonstrict_trace_dynamo_graph, test/dynamo/test_flat_apply.py::FlatApplyTests::test_simple
2025-09-07T07:07:10.9406460Z 
2025-09-07T07:07:13.1579930Z Running export/test_unflatten 1/1 ... [2025-09-07 07:07:13.157826]
2025-09-07T07:07:13.1580740Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:13.1587510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_unflatten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:13.158083]
2025-09-07T07:07:18.0882910Z 
2025-09-07T07:07:18.0884360Z export/test_unflatten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_unflatten_1.1_65faf44177c1bd66_.log
2025-09-07T07:07:18.0901500Z Running 28 items in this shard: test/export/test_unflatten.py::TestUnflatten::test_assert_tensor_metadata_stack, test/export/test_unflatten.py::TestUnflatten::test_attr_as_submod_input, test/export/test_unflatten.py::TestUnflatten::test_dedup_sym_size, test/export/test_unflatten.py::TestUnflatten::test_double_nested_submodule, test/export/test_unflatten.py::TestUnflatten::test_duplicate_placeholder, test/export/test_unflatten.py::TestUnflatten::test_fx_trace, test/export/test_unflatten.py::TestUnflatten::test_nested_leaf_non_strict, test/export/test_unflatten.py::TestUnflatten::test_placeholder_and_get_attr_ordering_after_unflattened, test/export/test_unflatten.py::TestUnflatten::test_simple_alias, test/export/test_unflatten.py::TestUnflatten::test_unflatten_buffer_mutation, test/export/test_unflatten.py::TestUnflatten::test_unflatten_constant_obj, test/export/test_unflatten.py::TestUnflatten::test_unflatten_constant_tensor, test/export/test_unflatten.py::TestUnflatten::test_unflatten_container_type, test/export/test_unflatten.py::TestUnflatten::test_unflatten_eager, test/export/test_unflatten.py::TestUnflatten::test_unflatten_empty_branch, test/export/test_unflatten.py::TestUnflatten::test_unflatten_nested, test/export/test_unflatten.py::TestUnflatten::test_unflatten_nested_access, test/export/test_unflatten.py::TestUnflatten::test_unflatten_none, test/export/test_unflatten.py::TestUnflatten::test_unflatten_param_list_dict, test/export/test_unflatten.py::TestUnflatten::test_unflatten_preserve_signature, test/export/test_unflatten.py::TestUnflatten::test_unflatten_preserve_with_unused_input, test/export/test_unflatten.py::TestUnflatten::test_unflatten_requires_grad_param, test/export/test_unflatten.py::TestUnflatten::test_unflatten_shared_submodule, test/export/test_unflatten.py::TestUnflatten::test_unflatten_skipped_call_module, test/export/test_unflatten.py::TestUnflatten::test_unflatten_submodule_ordering, test/export/test_unflatten.py::TestUnflatten::test_unflatten_with_inplace_compile, test/export/test_unflatten.py::TestUnflatten::test_unflatten_wrong_input, test/export/test_unflatten.py::TestUnflatten::test_unflattened_module_nodes_has_meta_val
2025-09-07T07:07:18.0916150Z 
2025-09-07T07:07:20.2604660Z Running lazy/test_step_closures 1/1 ... [2025-09-07 07:07:20.260149]
2025-09-07T07:07:20.2605720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:20.2606570Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'lazy/test_step_closures.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:20.260566]
2025-09-07T07:07:24.4745370Z 
2025-09-07T07:07:24.4746990Z lazy/test_step_closures 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_step_closures_1.1_f0e4226dd3668592_.log
2025-09-07T07:07:24.4750470Z Running 4 items in this shard: test/lazy/test_step_closures.py::ClosuresTest::test_asynchronous, test/lazy/test_step_closures.py::ClosuresTest::test_asynchronous_exception, test/lazy/test_step_closures.py::ClosuresTest::test_synchronous, test/lazy/test_step_closures.py::ClosuresTest::test_synchronous_exception
2025-09-07T07:07:24.4751410Z 
2025-09-07T07:07:26.8486150Z Running test_monitor 1/1 ... [2025-09-07 07:07:26.848437]
2025-09-07T07:07:26.8486860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:26.8488940Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_monitor.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:26.848698]
2025-09-07T07:07:29.3658140Z 
2025-09-07T07:07:29.3661830Z test_monitor 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_monitor_1.1_3fad1f6762a435c1_.log
2025-09-07T07:07:29.3663320Z Running 6 items in this shard: test/test_monitor.py::TestMonitor::test_event_handler, test/test_monitor.py::TestMonitor::test_fixed_count_stat, test/test_monitor.py::TestMonitor::test_interval_stat, test/test_monitor.py::TestMonitor::test_log_event, test/test_monitor.py::TestMonitor::test_wait_counter, test/test_monitor.py::TestMonitorTensorboard::test_event_handler
2025-09-07T07:07:29.3664420Z 
2025-09-07T07:07:31.5843480Z Running functorch/test_logging 1/1 ... [2025-09-07 07:07:31.584141]
2025-09-07T07:07:31.5844270Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:31.5847390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'functorch/test_logging.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:31.584447]
2025-09-07T07:07:33.8141190Z 
2025-09-07T07:07:33.8143130Z functorch/test_logging 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_logging_1.1_e1d03c3c26e4b7a7_.log
2025-09-07T07:07:33.8144240Z Running 1 items in this shard: test/functorch/test_logging.py::TestAOTLogging::test_logging
2025-09-07T07:07:33.8144530Z 
2025-09-07T07:07:35.0250560Z 
2025-09-07T07:07:35.0251550Z functorch/test_vmap 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_vmap_1.1_78efbfb6c0dc76ca_.log
2025-09-07T07:07:35.0850940Z Running 2126 items in this shard: test/functorch/test_vmap.py::TestVmapAPI::test_accepts_nested_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_backward_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_batch_rule_does_not_need_to_handle_no_batched_input, test/functorch/test_vmap.py::TestVmapAPI::test_batched_gradient_basic, test/functorch/test_vmap.py::TestVmapAPI::test_checkpoint, test/functorch/test_vmap.py::TestVmapAPI::test_constant_function, test/functorch/test_vmap.py::TestVmapAPI::test_data_attribute, test/functorch/test_vmap.py::TestVmapAPI::test_data_dependent_control_flow_throws, test/functorch/test_vmap.py::TestVmapAPI::test_decomposition_under_python_dispatcher, test/functorch/test_vmap.py::TestVmapAPI::test_different_map_dim_size_raises, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_does_not_warn_by_default, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_masked_fill, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_multiple_returns, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warning, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_warns_when_warnings_are_enabled, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_with_undefined_grad, test/functorch/test_vmap.py::TestVmapAPI::test_fallback_zero_dim, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_func_with_no_tensors, test/functorch/test_vmap.py::TestVmapAPI::test_functools_partial, test/functorch/test_vmap.py::TestVmapAPI::test_grad_unsupported_interaction, test/functorch/test_vmap.py::TestVmapAPI::test_in_dim_not_in_tensor_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_in_dims_wrong_type_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_different_levels, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_nary_same_levels, test/functorch/test_vmap.py::TestVmapAPI::test_inplace_fallback_unary, test/functorch/test_vmap.py::TestVmapAPI::test_integer_in_dim_but_not_tensor_input_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_item_throws, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_outputs, test/functorch/test_vmap.py::TestVmapAPI::test_multiple_outputs2, test/functorch/test_vmap.py::TestVmapAPI::test_nested_negative_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_non_default_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_diag_embed, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_different_map_dim, test/functorch/test_vmap.py::TestVmapAPI::test_nested_with_same_map_dim, test/functorch/test_vmap.py::TestVmapAPI::test_nn_module, test/functorch/test_vmap.py::TestVmapAPI::test_non_default_in_dims_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_non_tensor_output_raises, test/functorch/test_vmap.py::TestVmapAPI::test_non_zero_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_none_in_dims, test/functorch/test_vmap.py::TestVmapAPI::test_nonzero_out_dims, test/functorch/test_vmap.py::TestVmapAPI::test_noop_in_inner_vmap, test/functorch/test_vmap.py::TestVmapAPI::test_not_enough_in_dims_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dim_out_of_bounds_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_and_num_outputs_mismatch_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_edge_case, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_must_be_int_or_collection_of_int_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_none, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_none_tuple, test/functorch/test_vmap.py::TestVmapAPI::test_out_dims_normal_tensor, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_odict_returns, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns_broadcast_nested, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns_broadcast_simple, test/functorch/test_vmap.py::TestVmapAPI::test_pytree_returns_outdims, test/functorch/test_vmap.py::TestVmapAPI::test_reshape_dim_into, test/functorch/test_vmap.py::TestVmapAPI::test_reshape_dim_outof, test/functorch/test_vmap.py::TestVmapAPI::test_restore_vmap_no_vmapped_inputs, test/functorch/test_vmap.py::TestVmapAPI::test_restore_vmap_pytree_input_output, test/functorch/test_vmap.py::TestVmapAPI::test_restore_vmap_unexpanded_outputs, test/functorch/test_vmap.py::TestVmapAPI::test_single_input, test/functorch/test_vmap.py::TestVmapAPI::test_unsupported_op_err_msg, test/functorch/test_vmap.py::TestVmapAPI::test_vmap_autocast_cpu, test/functorch/test_vmap.py::TestVmapAPI::test_vmap_autocast_cuda, test/functorch/test_vmap.py::TestVmapOperators::test_T_numpy, test/functorch/test_vmap.py::TestVmapOperators::test_adaptive_avg_pool2d, test/functorch/test_vmap.py::TestVmapOperators::test_argmax_dim, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_add, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_add_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_div, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_div_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_mul, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_mul_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_pow, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_pow_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_sub, test/functorch/test_vmap.py::TestVmapOperators::test_arithmetic_sub_dunder, test/functorch/test_vmap.py::TestVmapOperators::test_as_strided, test/functorch/test_vmap.py::TestVmapOperators::test_bmm, test/functorch/test_vmap.py::TestVmapOperators::test_cat, test/functorch/test_vmap.py::TestVmapOperators::test_chunk, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_2_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_0_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_2_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_1_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_0_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_0_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_1_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_1_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_2_randomness_error, test/functorch/test_vmap.py::TestVmapOperators::test_chunk_vmap_in_dim_2_out_dim_2_randomness_same, test/functorch/test_vmap.py::TestVmapOperators::test_clamp, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_inplace_variant_clamp_max_, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_inplace_variant_clamp_min_, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_variant_clamp_max, test/functorch/test_vmap.py::TestVmapOperators::test_clamp_variant_clamp_min, test/functorch/test_vmap.py::TestVmapOperators::test_clone, test/functorch/test_vmap.py::TestVmapOperators::test_comparison_ops, test/functorch/test_vmap.py::TestVmapOperators::test_conj, test/functorch/test_vmap.py::TestVmapOperators::test_conj_bit, test/functorch/test_vmap.py::TestVmapOperators::test_contiguous, test/functorch/test_vmap.py::TestVmapOperators::test_conv2d, test/functorch/test_vmap.py::TestVmapOperators::test_copy_, test/functorch/test_vmap.py::TestVmapOperators::test_cross_batch_size_three, test/functorch/test_vmap.py::TestVmapOperators::test_diagonal, test/functorch/test_vmap.py::TestVmapOperators::test_dot, test/functorch/test_vmap.py::TestVmapOperators::test_expand_as, test/functorch/test_vmap.py::TestVmapOperators::test_fill_and_zero_inplace, test/functorch/test_vmap.py::TestVmapOperators::test_imag, test/functorch/test_vmap.py::TestVmapOperators::test_is_complex, test/functorch/test_vmap.py::TestVmapOperators::test_is_contiguous, test/functorch/test_vmap.py::TestVmapOperators::test_is_floating_point, test/functorch/test_vmap.py::TestVmapOperators::test_mean, test/functorch/test_vmap.py::TestVmapOperators::test_mean_dim, test/functorch/test_vmap.py::TestVmapOperators::test_mm, test/functorch/test_vmap.py::TestVmapOperators::test_mode_key, test/functorch/test_vmap.py::TestVmapOperators::test_movedim, test/functorch/test_vmap.py::TestVmapOperators::test_mv, test/functorch/test_vmap.py::TestVmapOperators::test_narrow, test/functorch/test_vmap.py::TestVmapOperators::test_new_empty, test/functorch/test_vmap.py::TestVmapOperators::test_new_empty_strided, test/functorch/test_vmap.py::TestVmapOperators::test_new_zeros, test/functorch/test_vmap.py::TestVmapOperators::test_nll_loss, test/functorch/test_vmap.py::TestVmapOperators::test_one_hot, test/functorch/test_vmap.py::TestVmapOperators::test_real, test/functorch/test_vmap.py::TestVmapOperators::test_repeat, test/functorch/test_vmap.py::TestVmapOperators::test_reshape, test/functorch/test_vmap.py::TestVmapOperators::test_reshape_as, test/functorch/test_vmap.py::TestVmapOperators::test_result_type, test/functorch/test_vmap.py::TestVmapOperators::test_roll_no_dims, test/functorch/test_vmap.py::TestVmapOperators::test_select, test/functorch/test_vmap.py::TestVmapOperators::test_silu_backward, test/functorch/test_vmap.py::TestVmapOperators::test_slice, test/functorch/test_vmap.py::TestVmapOperators::test_slogdet, test/functorch/test_vmap.py::TestVmapOperators::test_split, test/functorch/test_vmap.py::TestVmapOperators::test_squeeze, test/functorch/test_vmap.py::TestVmapOperators::test_stack, test/functorch/test_vmap.py::TestVmapOperators::test_stride, test/functorch/test_vmap.py::TestVmapOperators::test_sum, test/functorch/test_vmap.py::TestVmapOperators::test_sum_dim, test/functorch/test_vmap.py::TestVmapOperators::test_t, test/functorch/test_vmap.py::TestVmapOperators::test_tensor_split, test/functorch/test_vmap.py::TestVmapOperators::test_to, test/functorch/test_vmap.py::TestVmapOperators::test_trace, test/functorch/test_vmap.py::TestVmapOperators::test_transpose, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_abs, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_acos, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_asin, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_atan, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_ceil, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_cos, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_cosh, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_digamma, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_exp, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_expm1, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_floor, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_frac, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_lgamma, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_log, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_log10, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_log1p, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_log2, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_neg, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_reciprocal, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_relu, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_round, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_rsqrt, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_sigmoid, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_sign, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_sin, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_sinh, test/functorch/test_vmap.py::TestVmapOperators::test_unary_pointwise_sqrt, 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test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_trunc_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unbind_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unbind_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unflatten_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unfold_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unfold_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_uniform_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unique_consecutive_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unique_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unravel_index_cpu_int64, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsafe_chunk_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsafe_split_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsqueeze_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_unsqueeze_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_var_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_var_mean_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_var_mean_unbiased_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_var_unbiased_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_vdot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_as_complex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_as_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_as_real_cpu_complex64, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_copy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_view_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_vsplit_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_vstack_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_where_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_xlogy_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_zero__cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_zeros_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_exhaustive_zeros_like_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cholesky_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cholesky_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cond_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_cross_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_det_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_diagonal_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eig_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eigh_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eigvals_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_eigvalsh_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_householder_product_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_inv_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_inv_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_ldl_factor_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_ldl_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lstsq_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_factor_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_factor_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_lu_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_power_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_rank_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_multi_dot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_hermitian_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_pinv_singular_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_qr_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_slogdet_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_ex_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_solve_triangular_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_svd_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_svdvals_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_tensorinv_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_tensorsolve_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vander_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vecdot_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_linalg_failure_1D_input_linalg_vector_norm_cpu_float32, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_multi_dot_failure_1D_input_cpu, test/functorch/test_vmap.py::TestVmapOperatorsOpInfoCPU::test_vmap_with_anomaly_detection_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_add_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_binary_cross_entropy_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_diagonal_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_div_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_expand_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_index_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_inplace_manyview_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_inplace_view_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_lgamma_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log1p_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_log_softmax_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_logsumexp_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_max_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_median_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_min_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_mul_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_permute_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_different_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_error_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_randomness_backend0_randomness_same_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_reshape_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sdpa_backend0_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_select_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sigmoid_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_slice_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_stack_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_sub_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_threshold_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_trace_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_unrelated_output_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_unrelated_output_multiple_grad_cpu, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_vmap_fallback_check_ok, test/functorch/test_vmap.py::TestVmapBatchedGradientCPU::test_where_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_and_value_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_grad_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacfwd_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jacrev_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_jvp_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vjp_cpu, test/functorch/test_vmap.py::TestTransformFailureCPU::test_fails_with_autograd_function_transform_vmap_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_alpha_dropout_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_error_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_False_randomness_same_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_first_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_last_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_different_batched_input_none_batched_probability_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_bernoulli_in_place_use_generator_True_randomness_error_batched_input_first_batched_probability_first_cpu, 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test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_different_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_error_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_first_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_last_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_binary_out_of_place_use_generator_True_randomness_same_batched_input_none_batched_other_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_False_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_inplace_use_generator_True_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_False_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_different_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_error_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_first_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_last_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_random_unary_out_of_place_use_generator_True_randomness_same_batched_input_none_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_different_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_different_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_error_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_error_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_same_use_generator_False_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_randperm_randomness_same_use_generator_True_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_unsupported_random_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_0_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_1_out_dim_2_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_0_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_1_cpu, test/functorch/test_vmap.py::TestRandomnessCPU::test_vmap_chunksize_in_dim_2_out_dim_2_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_all_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test__is_any_true_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_check_tensor_cpu, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapDeviceTypeCPU::test_vmap_fallback_check_ok, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_cat_batching_rule_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_batched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_binary_nt_and_unbatched_dense_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_unary_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_fallback_with_nt_and_batched_dense_with_nonzero_bdim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_multilevel_vmap_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_acts_as_dense_in_vmap_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_in_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_nt_with_nonzero_out_dim_raises_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_shape_call_cpu, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check, test/functorch/test_vmap.py::TestVmapNestedTensorCPU::test_vmap_fallback_check_ok
2025-09-07T07:07:35.1430870Z 
2025-09-07T07:07:36.0434080Z Running test_stateless 1/1 ... [2025-09-07 07:07:36.043219]
2025-09-07T07:07:36.0435350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:36.0437470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_stateless.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:36.043491]
2025-09-07T07:07:37.2611550Z Running torch_np/numpy_tests/core/test_numeric 1/1 ... [2025-09-07 07:07:37.260987]
2025-09-07T07:07:37.2611930Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:37.2613420Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numeric.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:37.261242]
2025-09-07T07:07:41.5040810Z 
2025-09-07T07:07:41.5041460Z torch_np/numpy_tests/core/test_numeric 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numeric_1.1_150bbb56b48fa4c7_.log
2025-09-07T07:07:41.5103780Z Running 273 items in this shard: test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_copies, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_negative_resize, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_repeats, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_reshape_from_zero, test/torch_np/numpy_tests/core/test_numeric.py::TestResize::test_zeroresize, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_choose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_clip, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_compress, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_count_nonzero, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_cumproduct, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_diagonal, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_accuracy, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype0, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype3, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype4, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype5, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype6, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_dtype7, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-1, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-10, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_dunder_round_edgecases_val_2147483647_ndigits_-9, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_mean, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_prod, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ptp, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_ravel, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_repeat, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_reshape, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_2, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_round_py_consistency, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_searchsorted, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_size, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_squeeze, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_std, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_sum, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_swapaxes, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_take, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_trace, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_transpose, test/torch_np/numpy_tests/core/test_numeric.py::TestNonarrayArgs::test_var, test/torch_np/numpy_tests/core/test_numeric.py::TestIsscalar::test_isscalar, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_and_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_and_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_or_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_or_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_xor_eq, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_bitwise_xor_is, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolScalar::test_logical, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_all_any, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_logical_and_or_xor, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolArray::test_logical_not_abs, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolCmp::test_double, test/torch_np/numpy_tests/core/test_numeric.py::TestBoolCmp::test_float, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_default, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_divide_err, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_errobj, test/torch_np/numpy_tests/core/test_numeric.py::TestSeterr::test_set, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_D, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_F, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_d, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_e, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_floating_exceptions_typecode_f, test/torch_np/numpy_tests/core/test_numeric.py::TestFloatExceptions::test_warnings, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_can_cast_values, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_coercion_2, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_promote_types_endian, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_result_type, test/torch_np/numpy_tests/core/test_numeric.py::TestTypes::test_tesult_type_2, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_5, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_2592_dtype0_count_10_error_index_9, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_empty_result, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_failed_itemsetting, test/torch_np/numpy_tests/core/test_numeric.py::TestFromiter::test_lengths, 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test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_broadcasting_shapes, test/torch_np/numpy_tests/core/test_numeric.py::TestCross::test_uint8_int32_mixed_dtypes, test/torch_np/numpy_tests/core/test_numeric.py::TestOuterMisc::test_outer_out_param, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype0_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims1, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype1_dims2, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims0, test/torch_np/numpy_tests/core/test_numeric.py::TestIndices::test_return_type_dtype2_dims1, 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test/torch_np/numpy_tests/core/test_numeric.py::TestRequire::test_unknown_requirement, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_error_kwargs, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_in_args, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_broadcast_single_arg, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_number_of_arguments, test/torch_np/numpy_tests/core/test_numeric.py::TestBroadcast::test_shape_mismatch_error_message, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimension_einsum, test/torch_np/numpy_tests/core/test_numeric.py::TestTensordot::test_zero_dimensional
2025-09-07T07:07:41.5163200Z 
2025-09-07T07:07:41.5163220Z 
2025-09-07T07:07:41.5163570Z test_stateless 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_stateless_1.1_f7a3f9ae71fb5ebe_.log
2025-09-07T07:07:41.5176810Z Running 50 items in this shard: test/test_stateless.py::TestStatelessFunctionalAPI::test_circular_references_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_circular_references_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_batch_norm_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_batch_norm_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_member_reference_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_member_reference_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_multiple_dicts_error, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_tuple_dicts, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_error_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_error_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_data_parallel_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_gradient_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_gradient_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_jit_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_jit_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_kwargs_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_functional_call_with_kwargs_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_in_place_operator_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_in_place_operator_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_module_fail_reset_to_original_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_module_fail_reset_to_original_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_some_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_some_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_special_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_special_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_some_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_some_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrize_tie_weights_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrized_module_change_parametrization_original_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_reparametrized_module_change_parametrization_original_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_strict_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_strict_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_setattr_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_errors_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_errors_torch_func, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_no_error_without_flag, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_warns_stateless, test/test_stateless.py::TestStatelessFunctionalAPI::test_tied_weights_warns_torch_func, test/test_stateless.py::TestStatelessDeprecation::test_private_stateless_warns, test/test_stateless.py::TestStatelessDeprecation::test_stateless_functional_call_warns, test/test_stateless.py::TestPythonOptimizeMode::test_runs_with_optimize_flag
2025-09-07T07:07:41.5189840Z 
2025-09-07T07:07:43.7246750Z Running test_weak 1/1 ... [2025-09-07 07:07:43.724473]
2025-09-07T07:07:43.7247490Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:43.7248280Z Running inductor/test_mkldnn_pattern_matcher 1/1 ... [2025-09-07 07:07:43.724529]
2025-09-07T07:07:43.7249730Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:43.7252050Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_weak.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:43.724744]
2025-09-07T07:07:43.7254890Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_mkldnn_pattern_matcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:43.724783]
2025-09-07T07:07:46.6874210Z 
2025-09-07T07:07:46.6875120Z inductor/test_mkldnn_pattern_matcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_mkldnn_pattern_matcher_1.1_03cbb01e019c68e4_.log
2025-09-07T07:07:46.6875660Z 
2025-09-07T07:07:48.1678510Z 
2025-09-07T07:07:48.1679230Z test_weak 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_weak_1.1_532a97e48bdb792b_.log
2025-09-07T07:07:48.1687270Z Running 39 items in this shard: test/test_weak.py::WeakTest::test_make_weak_keyed_dict_from_dict, test/test_weak.py::WeakTest::test_make_weak_keyed_dict_from_weak_keyed_dict, test/test_weak.py::WeakTest::test_make_weak_keyed_dict_repr, test/test_weak.py::WeakTest::test_threaded_weak_key_dict_copy, test/test_weak.py::WeakTest::test_threaded_weak_key_dict_deepcopy, test/test_weak.py::WeakTest::test_weak_keyed_bad_delitem, test/test_weak.py::WeakTest::test_weak_keyed_delitem, test/test_weak.py::WeakTest::test_weak_keyed_dict_popitem, test/test_weak.py::WeakTest::test_weak_keyed_dict_setdefault, test/test_weak.py::WeakTest::test_weak_keyed_dict_update, test/test_weak.py::WeakTest::test_weak_keyed_union_operators, test/test_weak.py::WeakKeyDictionaryTestCase::test_bool, test/test_weak.py::WeakKeyDictionaryTestCase::test_constructor, test/test_weak.py::WeakKeyDictionaryTestCase::test_get, test/test_weak.py::WeakKeyDictionaryTestCase::test_getitem, test/test_weak.py::WeakKeyDictionaryTestCase::test_items, test/test_weak.py::WeakKeyDictionaryTestCase::test_keys, test/test_weak.py::WeakKeyDictionaryTestCase::test_len, test/test_weak.py::WeakKeyDictionaryTestCase::test_pop, test/test_weak.py::WeakKeyDictionaryTestCase::test_popitem, test/test_weak.py::WeakKeyDictionaryTestCase::test_read, test/test_weak.py::WeakKeyDictionaryTestCase::test_setdefault, test/test_weak.py::WeakKeyDictionaryTestCase::test_update, test/test_weak.py::WeakKeyDictionaryTestCase::test_values, test/test_weak.py::WeakKeyDictionaryTestCase::test_write, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_bool, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_constructor, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_get, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_getitem, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_items, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_keys, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_len, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_pop, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_popitem, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_read, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_setdefault, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_update, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_values, test/test_weak.py::WeakKeyDictionaryScriptObjectTestCase::test_write
2025-09-07T07:07:48.1693800Z 
2025-09-07T07:07:48.9098600Z Running dynamo/test_optimizers 1/1 ... [2025-09-07 07:07:48.904290]
2025-09-07T07:07:48.9199140Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:48.9246620Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_optimizers.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:48.904865]
2025-09-07T07:07:50.3829270Z Running test_content_store 1/1 ... [2025-09-07 07:07:50.382783]
2025-09-07T07:07:50.3829590Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:50.3831430Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_content_store.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:50.383044]
2025-09-07T07:07:52.2105540Z 
2025-09-07T07:07:52.2106220Z dynamo/test_optimizers 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_optimizers_1.1_fcc1cc0ce0afcab8_.log
2025-09-07T07:07:52.2108000Z Running 3 items in this shard: test/dynamo/test_optimizers.py::End2EndTests::test_init_group, test/dynamo/test_optimizers.py::End2EndTests::test_optimizing_over_tensor_with_requires_grad, test/dynamo/test_optimizers.py::End2EndTests::test_state_dict
2025-09-07T07:07:52.2108680Z 
2025-09-07T07:07:54.4064200Z Running inductor/test_custom_lowering 1/1 ... [2025-09-07 07:07:54.406216]
2025-09-07T07:07:54.4065030Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:54.4067240Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_custom_lowering.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:54.406473]
2025-09-07T07:07:56.0137430Z 
2025-09-07T07:07:56.0138140Z test_content_store 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_content_store_1.1_bfacb539d9e608c2_.log
2025-09-07T07:07:56.0141210Z Running 8 items in this shard: test/test_content_store.py::TestContentStoreCPU::test_basic_cpu, test/test_content_store.py::TestContentStoreCPU::test_load_tensor_cpu, test/test_content_store.py::TestContentStoreCPU::test_repeated_hash_cpu, test/test_content_store.py::TestContentStoreCPU::test_scalar_cpu, test/test_content_store.py::TestContentStoreMPS::test_basic_mps, test/test_content_store.py::TestContentStoreMPS::test_load_tensor_mps, test/test_content_store.py::TestContentStoreMPS::test_repeated_hash_mps, test/test_content_store.py::TestContentStoreMPS::test_scalar_mps
2025-09-07T07:07:56.0142700Z 
2025-09-07T07:07:57.4285060Z 
2025-09-07T07:07:57.4285880Z inductor/test_custom_lowering 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_lowering_1.1_e65857ac759317de_.log
2025-09-07T07:07:57.4288200Z Running 5 items in this shard: test/inductor/test_custom_lowering.py::TestCustomLowering::test_jagged_to_padded_dense_sanity_cuda, test/inductor/test_custom_lowering.py::TestCustomLowering::test_jagged_to_padded_dense_zero_size, test/inductor/test_custom_lowering.py::TestCustomLowering::test_multi_inp_asm, test/inductor/test_custom_lowering.py::TestCustomLowering::test_register_lowering_custom_dict, test/inductor/test_custom_lowering.py::TestCustomLowering::test_tanh_approx
2025-09-07T07:07:57.4289460Z 
2025-09-07T07:07:58.2227130Z Running dynamo/test_profiler 1/1 ... [2025-09-07 07:07:58.222529]
2025-09-07T07:07:58.2306020Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:58.2308250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:58.223392]
2025-09-07T07:07:59.6533080Z Running optim/test_lrscheduler 1/1 ... [2025-09-07 07:07:59.653156]
2025-09-07T07:07:59.6533860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:07:59.6535220Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'optim/test_lrscheduler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:07:59.653408]
2025-09-07T07:08:01.3791120Z 
2025-09-07T07:08:01.3792120Z optim/test_lrscheduler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_lrscheduler_1.1_4aa9447747025101_.log
2025-09-07T07:08:01.3793030Z 
2025-09-07T07:08:03.5813180Z Running inductor/test_config 1/1 ... [2025-09-07 07:08:03.581111]
2025-09-07T07:08:03.5813950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:08:03.5816120Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_config.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:08:03.581376]
2025-09-07T07:08:06.2307150Z 
2025-09-07T07:08:06.2308170Z dynamo/test_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_profiler_1.1_e0c5b22f4ce43ddb_.log
2025-09-07T07:08:06.2311820Z Running 11 items in this shard: test/dynamo/test_profiler.py::DynamoProfilerTests::test_dynamo_timed_profiling_backend_compile, test/dynamo/test_profiler.py::DynamoProfilerTests::test_dynamo_timed_profiling_isolated, test/dynamo/test_profiler.py::DynamoProfilerTests::test_execution_trace_dynamic_shapes, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profile_dynamic_shapes_compilation, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profile_dynamic_shapes_list_compilation, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profile_dynamic_shapes_runtime, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_cache_lookup, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_cache_lookup_profiler_step, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_dynamo_compiled_region, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_enabled, test/dynamo/test_profiler.py::DynamoProfilerTests::test_profiler_record_function_ignore
2025-09-07T07:08:06.2314430Z 
2025-09-07T07:08:08.4450140Z Running dynamo/test_sources 1/1 ... [2025-09-07 07:08:08.444854]
2025-09-07T07:08:08.4450480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:08:08.4452070Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_sources.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:08:08.445108]
2025-09-07T07:08:10.3025830Z 
2025-09-07T07:08:10.3026760Z inductor/test_config 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_config_1.1_3b3043dcaf6dd24f_.log
2025-09-07T07:08:10.3030580Z Running 13 items in this shard: test/inductor/test_config.py::TestInductorConfig::test_api_options, test/inductor/test_config.py::TestInductorConfig::test_codegen_skips_custom_passes, test/inductor/test_config.py::TestInductorConfig::test_compile_api, test/inductor/test_config.py::TestInductorConfig::test_compile_api_passes_config, test/inductor/test_config.py::TestInductorConfig::test_get_compiler_config, test/inductor/test_config.py::TestInductorConfig::test_hasattr, test/inductor/test_config.py::TestInductorConfig::test_invalid_backend, test/inductor/test_config.py::TestInductorConfig::test_invalid_names, test/inductor/test_config.py::TestInductorConfig::test_non_inductor_backend, test/inductor/test_config.py::TestInductorConfig::test_options_do_something, test/inductor/test_config.py::TestInductorConfig::test_patch, test/inductor/test_config.py::TestInductorConfig::test_save_load, test/inductor/test_config.py::TestInductorConfig::test_set
2025-09-07T07:08:10.3033330Z 
2025-09-07T07:08:10.8197800Z 
2025-09-07T07:08:10.8199750Z dynamo/test_sources 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_sources_1.1_8cf21932c56dc263_.log
2025-09-07T07:08:10.8202700Z Running 3 items in this shard: test/dynamo/test_sources.py::SourceTests::test_is_local, test/dynamo/test_sources.py::SourceTests::test_property_closure, test/dynamo/test_sources.py::SourceTests::test_supported_nodes
2025-09-07T07:08:10.8204280Z 
2025-09-07T07:08:12.5642590Z Running dynamo/test_base_hop 1/1 ... [2025-09-07 07:08:12.564057]
2025-09-07T07:08:12.5643350Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:08:12.5645470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_base_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:08:12.564324]
2025-09-07T07:08:13.0116650Z Running export/test_nativert 1/1 ... [2025-09-07 07:08:13.011503]
2025-09-07T07:08:13.0117400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:08:13.0119600Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_nativert.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:08:13.011758]
2025-09-07T07:08:16.0382170Z 
2025-09-07T07:08:16.0383300Z dynamo/test_base_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_base_hop_1.1_c86c0147d61d072b_.log
2025-09-07T07:08:16.0387020Z Running 11 items in this shard: test/dynamo/test_base_hop.py::BaseHOPTest::test_aliasing_mutation_error, test/dynamo/test_base_hop.py::BaseHOPTest::test_aot_eager, test/dynamo/test_base_hop.py::BaseHOPTest::test_auto_functionalize, test/dynamo/test_base_hop.py::BaseHOPTest::test_dynamo, test/dynamo/test_base_hop.py::BaseHOPTest::test_eager_call, test/dynamo/test_base_hop.py::BaseHOPTest::test_int_input, test/dynamo/test_base_hop.py::BaseHOPTest::test_none_input, test/dynamo/test_base_hop.py::BaseHOPTest::test_schema_gen_pytree_in_out, test/dynamo/test_base_hop.py::BaseHOPTest::test_schema_gen_pytree_in_out_with_mutation, test/dynamo/test_base_hop.py::BaseHOPTest::test_schema_gen_single_return, test/dynamo/test_base_hop.py::BaseHOPTest::test_schema_gen_single_return_with_mutation
2025-09-07T07:08:16.0389100Z 
2025-09-07T07:08:18.1551520Z Running dynamo/test_backends 1/1 ... [2025-09-07 07:08:18.155004]
2025-09-07T07:08:18.1551880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:08:18.1555190Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_backends.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:08:18.155287]
2025-09-07T07:08:25.7301460Z 
2025-09-07T07:08:25.7302060Z dynamo/test_backends 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_backends_1.1_33998fc6204f235c_.log
2025-09-07T07:08:25.7308230Z Running 21 items in this shard: test/dynamo/test_backends.py::NormalizeIRTests::test_inplace_normalize, test/dynamo/test_backends.py::MPSSupportedTest::test_mps_supported, test/dynamo/test_backends.py::TestExplainWithBackend::test_explain_with_backend, test/dynamo/test_backends.py::TestCustomBackendAPI::test_aot_autograd_api, test/dynamo/test_backends.py::TestCustomBackendAPI::test_backend_graph_freeze, test/dynamo/test_backends.py::TestCustomBackendAPI::test_backend_recompilation, test/dynamo/test_backends.py::TestCustomBackendAPI::test_lookup_backend, test/dynamo/test_backends.py::TestCustomBackendAPI::test_lookup_custom_backend, test/dynamo/test_backends.py::TestCustomBackendAPI::test_register_backend_api, test/dynamo/test_backends.py::TestOptimizationsCPU::test_aot_cudagraphs_cpu, test/dynamo/test_backends.py::TestOptimizationsCPU::test_aot_eager_cpu, test/dynamo/test_backends.py::TestOptimizationsCPU::test_aot_eager_decomp_partition_cpu, test/dynamo/test_backends.py::TestOptimizationsCPU::test_aot_ts_cpu, test/dynamo/test_backends.py::TestOptimizationsCPU::test_eager_cpu, test/dynamo/test_backends.py::TestOptimizationsCPU::test_eager_noexcept_cpu, test/dynamo/test_backends.py::TestOptimizationsCPU::test_example_inputs_cpu, test/dynamo/test_backends.py::TestOptimizationsCPU::test_example_inputs_runtime_use_cpu, test/dynamo/test_backends.py::TestOptimizationsCPU::test_intel_gaudi_backend_cpu, test/dynamo/test_backends.py::TestOptimizationsCPU::test_list_backends_cpu, test/dynamo/test_backends.py::TestOptimizationsCPU::test_torchscript_cpu, test/dynamo/test_backends.py::TestOptimizationsCPU::test_tvm_cpu
2025-09-07T07:08:25.7312980Z 
2025-09-07T07:08:27.8214760Z Running dynamo/test_verify_correctness 1/1 ... [2025-09-07 07:08:27.821289]
2025-09-07T07:08:27.8215870Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:08:27.8217730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_verify_correctness.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:08:27.821562]
2025-09-07T07:08:30.5026210Z 
2025-09-07T07:08:30.5027010Z dynamo/test_verify_correctness 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_verify_correctness_1.1_42eff73ef108190b_.log
2025-09-07T07:08:30.5029160Z Running 4 items in this shard: test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_example_inputs, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_incorrect_verify_false, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_incorrect_verify_true, test/dynamo/test_verify_correctness.py::TestVerifyCorrectness::test_torchscript
2025-09-07T07:08:30.5030200Z 
2025-09-07T07:08:32.5575740Z Running dynamo/test_python_dispatcher 1/1 ... [2025-09-07 07:08:32.557364]
2025-09-07T07:08:32.5576580Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:08:32.5578780Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_python_dispatcher.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:08:32.557637]
2025-09-07T07:08:34.9516500Z 
2025-09-07T07:08:34.9517110Z dynamo/test_python_dispatcher 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_dispatcher_1.1_6664037fabb4f12b_.log
2025-09-07T07:08:34.9520110Z Running 6 items in this shard: test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key1, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key2, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key3, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key4, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_dispatch_key_set_guard, test/dynamo/test_python_dispatcher.py::PythonDispatcherTests::test_functorch_interpreter
2025-09-07T07:08:34.9521620Z 
2025-09-07T07:08:37.0337590Z Running test_set_default_mobile_cpu_allocator 1/1 ... [2025-09-07 07:08:37.033549]
2025-09-07T07:08:37.0338460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:08:37.0340690Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_set_default_mobile_cpu_allocator.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:08:37.033856]
2025-09-07T07:08:39.0616520Z 
2025-09-07T07:08:39.0617470Z test_set_default_mobile_cpu_allocator 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_set_default_mobile_cpu_allocator_1.1_904c0160d6dda0f4_.log
2025-09-07T07:08:39.0622360Z Running 2 items in this shard: test/test_set_default_mobile_cpu_allocator.py::TestSetDefaultMobileCPUAllocator::test_exception, test/test_set_default_mobile_cpu_allocator.py::TestSetDefaultMobileCPUAllocator::test_no_exception
2025-09-07T07:08:39.0623000Z 
2025-09-07T07:08:41.1352050Z Running torch_np/test_indexing 1/1 ... [2025-09-07 07:08:41.134994]
2025-09-07T07:08:41.1352960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:08:41.1355270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/test_indexing.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:08:41.135266]
2025-09-07T07:08:44.4983350Z 
2025-09-07T07:08:44.4984470Z torch_np/test_indexing 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_indexing_1.1_8bc6a03f41885aac_.log
2025-09-07T07:08:44.4986650Z Running 5 items in this shard: test/torch_np/test_indexing.py::TestAdvancedIndexing::test_advanced_separation_patterns, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_broadcast_and_numpy_compatibility, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_comprehensive_indexing, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_ellipsis, test/torch_np/test_indexing.py::TestAdvancedIndexing::test_special_index_types
2025-09-07T07:08:44.4987820Z 
2025-09-07T07:08:46.5753710Z Running torch_np/test_scalars_0D_arrays 1/1 ... [2025-09-07 07:08:46.575103]
2025-09-07T07:08:46.5754530Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:08:46.5756620Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/test_scalars_0D_arrays.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:08:46.575370]
2025-09-07T07:08:48.6979080Z 
2025-09-07T07:08:48.6979970Z torch_np/test_scalars_0D_arrays 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_scalars_0D_arrays_1.1_98ec6708283bdda4_.log
2025-09-07T07:08:48.6988110Z Running 33 items in this shard: test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_array_scalar_basic_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_conversion_to_int_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_array, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_asarray_int, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_decay_to_py_scalar_int64, test/torch_np/test_scalars_0D_arrays.py::TestArrayScalars::test_scalar_comparisons, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value0, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value1, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value10, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value11, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value4, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value5, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value6, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value7, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value8, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value9, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_s, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_not_scalar_value_string, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_0D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_1D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_array_2D, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_float32, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_int, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_list-list, test/torch_np/test_scalars_0D_arrays.py::TestIsScalar::test_is_scalar_literal
2025-09-07T07:08:48.6995480Z 
2025-09-07T07:08:50.7221960Z Running test_numba_integration 1/1 ... [2025-09-07 07:08:50.721993]
2025-09-07T07:08:50.7222760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:08:50.7224880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_numba_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:08:50.722269]
2025-09-07T07:08:52.7521970Z 
2025-09-07T07:08:52.7522550Z test_numba_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_numba_integration_1.1_dddeab5b2904ebd4_.log
2025-09-07T07:08:52.7525830Z Running 8 items in this shard: test/test_numba_integration.py::TestNumbaIntegration::test_active_device, test/test_numba_integration.py::TestNumbaIntegration::test_array_adaptor, test/test_numba_integration.py::TestNumbaIntegration::test_conversion_errors, test/test_numba_integration.py::TestNumbaIntegration::test_cuda_array_interface, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_active_device, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_inferred_strides, test/test_numba_integration.py::TestNumbaIntegration::test_from_cuda_array_interface_lifetime
2025-09-07T07:08:52.7527700Z 
2025-09-07T07:08:54.7657980Z Running dynamo/test_cudagraphs 1/1 ... [2025-09-07 07:08:54.765604]
2025-09-07T07:08:54.7659110Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:08:54.7659920Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_cudagraphs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:08:54.765865]
2025-09-07T07:08:56.6200230Z 
2025-09-07T07:08:56.6201040Z dynamo/test_cudagraphs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_cudagraphs_1.1_9f3ba373f6d335ac_.log
2025-09-07T07:08:56.6201500Z 
2025-09-07T07:08:58.6227700Z Running dynamo/test_deviceguard 1/1 ... [2025-09-07 07:08:58.622562]
2025-09-07T07:08:58.6228860Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:08:58.6231090Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_deviceguard.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:08:58.622841]
2025-09-07T07:09:00.7885880Z 
2025-09-07T07:09:00.7886760Z dynamo/test_deviceguard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_deviceguard_1.1_5188525de9b623c7_.log
2025-09-07T07:09:00.7888560Z Running 4 items in this shard: test/dynamo/test_deviceguard.py::TestDeviceGuard::test_device_guard, test/dynamo/test_deviceguard.py::TestDeviceGuard::test_device_guard_no_index, test/dynamo/test_deviceguard.py::TestCUDADeviceGuard::test_device_guard, test/dynamo/test_deviceguard.py::TestCUDADeviceGuard::test_device_guard_no_index
2025-09-07T07:09:00.7889510Z 
2025-09-07T07:09:02.7980230Z Running torch_np/numpy_tests/lib/test_function_base 1/1 ... [2025-09-07 07:09:02.797787]
2025-09-07T07:09:02.7981170Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:09:02.7983470Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:09:02.798110]
2025-09-07T07:09:05.9266610Z 
2025-09-07T07:09:05.9267540Z torch_np/numpy_tests/lib/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_function_base_1.1_ac339b013279ad01_.log
2025-09-07T07:09:05.9400580Z Running 505 items in this shard: test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestRot90::test_rotation_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis0, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis1, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_3d_swap_axis2, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_4d, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_basic_lr, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_basic_ud, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_default_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestFlip::test_multiple_axes, test/torch_np/numpy_tests/lib/test_function_base.py::TestAny::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAny::test_nd, test/torch_np/numpy_tests/lib/test_function_base.py::TestAll::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAll::test_nd, test/torch_np/numpy_tests/lib/test_function_base.py::TestCopy::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCopy::test_order, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_average_class_without_dtype, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_basic_keepdims_x0_axis0_expected_avg0_weights0_expected_wavg0_expected_wsum0, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_basic_keepdims_x1_axis_0_expected_avg1_weights1_expected_wavg1_expected_wsum1, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_returned, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_upcasting, test/torch_np/numpy_tests/lib/test_function_base.py::TestAverage::test_weights, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_broadcasting, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_deprecated_empty, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_many_arguments, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_non_bool_deprecation, test/torch_np/numpy_tests/lib/test_function_base.py::TestSelect::test_return_dtype, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_0d, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_array_copied, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_floats, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_out_of_bounds_idx_-4, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_index_out_of_bounds_idx_4, test/torch_np/numpy_tests/lib/test_function_base.py::TestInsert::test_multidim, test/torch_np/numpy_tests/lib/test_function_base.py::TestAmax::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestAmin::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestPtp::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCumsum::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestProd::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestCumprod::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_append, test/torch_np/numpy_tests/lib/test_function_base.py::TestDiff::test_axis, 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test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_b_expected_dtype1_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_h_expected_dtype2_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_i_expected_dtype3_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_averaged_inverted_cdf_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_closest_observation_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_hazen_expected_27_5, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_interpolated_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_inverted_cdf_expected_20, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_linear_expected_29, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_median_unbiased_expected_27, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_normal_unbiased_expected_27_125, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_interpolation_input_dtype_l_expected_dtype4_method_weibull_expected_26, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_linear_nan_1D_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_lower_higher_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_midpoint_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nan_behavior, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nan_q, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_d, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_e, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_f, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_nearest_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_no_p_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_out_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_empty_dim, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_list, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_no_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_percentile_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_scalar_q, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_scalar_q_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestPercentile::test_sequence, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_correct_quantile_value, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_fraction, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_max_ulp, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_no_p_overwrite, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_hypo, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_averaged_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_closest_observation, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_hazen, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_higher, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_interpolated_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_inverted_cdf, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_linear, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_lower, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_median_unbiased, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_midpoint, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_nearest, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_normal_unbiased, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_monotonic_method_weibull, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_B, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_b, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_h, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_i, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_preserve_int_type_dtype_l, test/torch_np/numpy_tests/lib/test_function_base.py::TestQuantile::test_quantile_scalar_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_array_like, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_axis_keyword, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_basic, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_basic_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_empty, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_extended_axis, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_extended_axis_invalid, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis0, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis3, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis4, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_keepdims_out_axis_1, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior_2, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_nan_behavior_3, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_out, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_out_nan, test/torch_np/numpy_tests/lib/test_function_base.py::TestMedian::test_overwrite_keyword, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_complex, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_B_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_H_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_b_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_g_type_out_G, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_h_type_out_F, test/torch_np/numpy_tests/lib/test_function_base.py::TestSortComplex::test_sort_real_type_in_l_type_out_D
2025-09-07T07:09:05.9523650Z 
2025-09-07T07:09:07.9609420Z Running test_tensorboard 1/1 ... [2025-09-07 07:09:07.960765]
2025-09-07T07:09:07.9610160Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:09:07.9612660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_tensorboard.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:09:07.961026]
2025-09-07T07:09:10.9642940Z 
2025-09-07T07:09:10.9643810Z test_tensorboard 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_tensorboard_1.1_0d06f05a9a38a66b_.log
2025-09-07T07:09:10.9655070Z Running 50 items in this shard: test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_autograd_np, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_histogram, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_histogram_raw, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_np, test/test_tensorboard.py::TestTensorBoardPyTorchNumpy::test_pytorch_write, test/test_tensorboard.py::TestTensorBoardUtils::test_convert_to_HWC_dtype_remains_same, test/test_tensorboard.py::TestTensorBoardUtils::test_numpy_vid_uint8, test/test_tensorboard.py::TestTensorBoardUtils::test_prepare_video, test/test_tensorboard.py::TestTensorBoardUtils::test_to_HWC, test/test_tensorboard.py::TestTensorBoardWriter::test_writer, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_pathlib, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_summary_writer_close, test/test_tensorboard.py::TestTensorBoardSummaryWriter::test_summary_writer_ctx, test/test_tensorboard.py::TestTensorBoardEmbedding::test_embedding, test/test_tensorboard.py::TestTensorBoardEmbedding::test_embedding_64, test/test_tensorboard.py::TestTensorBoardSummary::test_audio, test/test_tensorboard.py::TestTensorBoardSummary::test_custom_scalars, test/test_tensorboard.py::TestTensorBoardSummary::test_empty_input, test/test_tensorboard.py::TestTensorBoardSummary::test_float32_image, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_auto, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_doane, test/test_tensorboard.py::TestTensorBoardSummary::test_histogram_fd, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_3_channel_batched, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_boxes, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_one_channel, test/test_tensorboard.py::TestTensorBoardSummary::test_image_with_one_channel_batched, test/test_tensorboard.py::TestTensorBoardSummary::test_image_without_channel, test/test_tensorboard.py::TestTensorBoardSummary::test_list_input, test/test_tensorboard.py::TestTensorBoardSummary::test_mesh, test/test_tensorboard.py::TestTensorBoardSummary::test_scalar_new_style, test/test_tensorboard.py::TestTensorBoardSummary::test_text, test/test_tensorboard.py::TestTensorBoardSummary::test_uint8_image, test/test_tensorboard.py::TestTensorBoardSummary::test_video, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_mlp_graph, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_nested_nn_squential, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_pytorch_graph, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_pytorch_graph_dict_input, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_torchvision_smoke, test/test_tensorboard.py::TestTensorBoardPytorchGraph::test_wrong_input_size, test/test_tensorboard.py::TestTensorBoardFigure::test_figure, test/test_tensorboard.py::TestTensorBoardFigure::test_figure_list, test/test_tensorboard.py::TestTensorBoardNumpy::test_pytorch_np_expect_fail, test/test_tensorboard.py::TestTensorBoardNumpy::test_scalar, test/test_tensorboard.py::TestTensorProtoSummary::test_complex_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_empty_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_float_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_half_tensor_proto_bfloat16_proto_type_14, test/test_tensorboard.py::TestTensorProtoSummary::test_half_tensor_proto_float16_proto_type_19, test/test_tensorboard.py::TestTensorProtoSummary::test_int_tensor_proto, test/test_tensorboard.py::TestTensorProtoSummary::test_scalar_tensor_proto
2025-09-07T07:09:10.9671380Z 
2025-09-07T07:09:13.0328300Z Running dynamo/test_higher_order_ops 1/1 ... [2025-09-07 07:09:13.032642]
2025-09-07T07:09:13.0329130Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:09:13.0331270Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_higher_order_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:09:13.032904]
2025-09-07T07:09:41.5935130Z 
2025-09-07T07:09:41.5935710Z export/test_nativert 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_nativert_1.1_2ec8433c50196f19_.log
2025-09-07T07:09:41.6054050Z Running 407 items in this shard: test/export/test_nativert.py::NativeRTTestExport::test__scaled_dot_product_flash_attention_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_additional_inputs_constants_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_allow_explicit_guards_as_runtime_asserts_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_args_type_checked_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_aten_lift_fresh_copy_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_attention_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_attr_assignment_extra_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_automatic_constrain_size_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_automatic_dynamic_shapes_constant_relation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_automatic_dynamic_shapes_linear_relation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_automatic_dynamic_shapes_simple_equality_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_baddbmm_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_basic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_basic_non_strict_fake_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_basic_non_strict_real_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_bincount_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_buffer_util_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_capture_subclass_constructor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_capture_subclass_constructor_torch_ir_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_capture_subclass_wrong_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_ccode_python_mod_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_check_specialized_int_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_checks_to_constrain_range_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cleanup_dynamic_markers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_colin_unbacked_backed_vr_sub_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_colon_parameter_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_compiling_state_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_access_identical_symint_closure_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_branches_return_constant_int_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_branches_return_same_int_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_buffers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_contains_unbacked_no_escape_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_int_closure_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_unflatten_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_with_module_stack_export_with_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cond_with_module_stack_export_with_unflatten_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_aliasing_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_input_naming_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_no_user_inp_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_output_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_output_dup_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_requires_grad_const_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_return_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_tensor_mutation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_tensor_with_non_functional_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constant_tensor_with_non_functional_nested_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constrain_decomp_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constrain_size_in_eager_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constrain_size_with_constrain_value_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_constrain_size_with_various_cases_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_conv_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_crop_like_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_cse_for_symint_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_custom_op_auto_functionalize_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_custom_op_auto_functionalize_pre_dispatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_custom_op_auto_warn_pre_dispatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_custom_op_preserve_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_custom_pytree_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_custom_tag_metadata_re_export_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_decomp_batch_norm_functional_predispatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_decomp_item_in_prim_after_decomposition_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_decomp_item_in_prim_before_decomposition_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_default_decomposition_core_cia_ops_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_1_2_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_basic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_integer_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_nested_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_out_of_order_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_out_of_order_repeat_derived_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_out_of_order_simplified_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_out_of_order_simplified_repeat_non_derived_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_derived_dim_repeat_derived_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_detect_leak_nonstrict_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_detect_leak_nonstrict_with_stacktrace_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_detect_leak_strict_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_device_to_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_device_to_gpu_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_device_to_mutation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_device_to_mutation_float_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_device_to_static_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_1_2_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_auto_and_dim_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_dynamic_divisibility_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_dynamic_specialization_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_hint_range_violations_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dim_hint_ranges_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_disable_forced_specializations_errors_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_disable_forced_specializations_ok_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_distributed_all_gather_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_distributed_all_gather_into_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_distributed_all_reduce_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_distributed_all_to_all_single_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_distributed_reduce_scatter_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dont_duck_size_for_auto_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_double_lifted_constants_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_draft_export_checks_aliasing_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_draft_export_checks_mutation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_draft_export_checks_mutation_list_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_draft_export_checks_mutation_with_nan_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_draft_export_fake_kernel_inference_errors_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_draft_export_infers_fake_kernel_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_duplicate_modules_with_non_persistent_buffers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_lr_shift_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_bounds_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_builder_basic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_builder_kwargs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_builder_pytree_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_dataclass_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_inferred_basic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_serdes_generic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_serdes_user_errors_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_serdes_various_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_shapes_spec_with_pytree_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_dynamic_sym_round_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_ends_of_bounds_oblivious_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_error_does_not_reference_eager_fallback_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_error_when_passing_mutating_primitive_op_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_exception_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_expand_copy_export_handles_implicit_true_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_api_with_dynamic_shapes_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_as_backend_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_associative_scan_lifted_buffers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_associative_scan_symbol_dim_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_associative_scan_symbol_scandim_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_aten_to_unflatten_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_aten_to_unflatten_subclass_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_aten_to_unflatten_subclass_pre_dispatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_cond_preserve_torch_fn_for_subgraphs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_cond_symbool_pred_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_cond_warns_constant_pred_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_custom_decomp_table_basic_pop_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_custom_decomp_table_container_methods_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_custom_op_lib_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_custom_triton_kernel_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_custom_triton_kernel_mutable_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_cyclic_reference_leak_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_decomp_torture_case_1_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_decomp_torture_case_2_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_decomps_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_decomps_simple_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_dynamo_config_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_for_training_run_decomp_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_for_training_with_container_type_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_for_training_with_dynamic_shapes_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_for_training_with_mutation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_for_training_with_state_dict_hooks_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_default_kwargs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_keyword_only_args_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_kwargs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_pytree_kwargs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_var_keyword_args_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_var_keyword_pytree_args_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_func_with_var_postional_args_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_function_schema_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_graph_with_no_inputs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_input_mutation_bug_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_input_mutation_dynamic_shape_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_input_mutation_static_shape_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_linear_preserve_dynamic_shape_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_max_nonstrict_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_max_onnx_reported_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_method_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_mod_constraints_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_module_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_preserve_linear_at_aot_level_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_preserve_linear_but_not_custom_op_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_scan_pytree_output_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_script_module_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_statically_known_true_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_then_compile_tensor_ctor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_with_autocast_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_with_fake_tensor_inputs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_with_fake_tensor_inputs_on_cuda_devices_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_with_inline_constraints_complex_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_with_inline_constraints_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_with_set_grad_enabled_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_export_with_wrong_inputs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_external_call_non_strict_real_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_fake_inputs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_fake_weights_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_filter_traceback_frames_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_float_conversion_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_float_conversion_from_int_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_fqn_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_from_node_metadata_export_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_full_on_scalar_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_function_holding_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_hints_wrapper_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_hoo_inline_users_issue_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_if_functional_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_if_post_autograd_op_preserved_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_inline_script_class_method_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_inline_script_class_method_recursive_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_inline_script_function_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_inline_script_method_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_int_shape_specialization_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_intermediate_shape_comp_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_is_exporting_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_is_non_negative_check_function_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_is_nonzero_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_isnonzero_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_issue_113041_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_issue_157289_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_istft_op_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_keep_composite_ops_invalid_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_keep_composite_ops_linear_convd_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_keep_composite_ops_linear_convd_for_training_ir_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_kwarg_dynamic_shapes_diff_order_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_kwargs_reorder_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_layer_norm_unbacked_normalized_shape_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_layer_sharing_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_lazy_module_kwargs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_lifted_constants_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_linear_conv_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_malformed_fqn_from_source_name_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_map_buffers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_map_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_mask_nonzero_static_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_masked_select_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_math_pow_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_mismatched_dynamic_shapes_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_mixed_input_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_module_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_module_dict_key_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_module_input_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_module_input_subclasses_parameterization_nested_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_module_list_slice_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_module_with_dict_container_inp_out_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_modules_access_for_deleted_submodule_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_more_multidimensional_slicing_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_multidimensional_slicing_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_multinomial_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_multiple_definitions_same_name_dim_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nested_dynamic_shapes_spec_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nested_module_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nested_module_with_constant_buffer_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nested_module_with_init_buffer_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nested_module_with_parameter_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nn_module_stack_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nn_module_stack_shared_submodule_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_no_check_is_size_error_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_no_suggested_fixes_for_data_dependent_errors_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_no_tensor_computation_2_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_no_tensor_computation_3_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_no_tensor_computation_4_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_no_tensor_computation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_non_arg_name_dynamic_shapes_api_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_non_arg_name_dynamic_shapes_api_with_container_type_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_non_arg_name_dynamic_shapes_api_with_kwarg_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_non_persistent_buffer_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_non_strict_dynamic_shapes_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_non_strict_dynamic_shapes_suggested_fixes_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_none_buffers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nonstrict_retrace_preserves_metadata_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nonzero_2_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_nonzero_dynamic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_not_registered_parameter_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_operator_aten_tensor_mode_variant_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_output_node_name_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_pad_sequence_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_param_util_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_partial_patched_forward_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_placeholder_naming_collisions_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_placeholder_naming_collisions_hoo_subgraphs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_placeholder_naming_order_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_placeholder_naming_order_variadic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_placeholder_update_preserving_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_predispatch_cond_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_predispatch_grad_wrappers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_preserve_module_call_signature_unflatten_specialization_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_preserve_requires_grad_placeholders_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_preserve_shape_dynamism_for_unused_inputs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_profiling_code_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_python_asserts_with_sym_int_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_pytree_register_data_class_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_pytree_register_nested_data_class_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_raise_user_error_when_guard_on_data_dependent_operation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_range_constraints_with_replacement_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_real_tensor_alias_dtype_mismatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_real_tensor_bool_cast_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_real_tensor_errors_on_aliasing_custom_op_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_real_tensor_for_max_op_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_real_tensor_size_mismatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_redundant_assert_max_upper_bound_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_redundant_asserts_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_refine_dynamic_shapes_from_suggested_fixes_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_register_constant_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_repeat_interleave_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_replace_unbacked_with_very_large_upperbound_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_replaced_unbacked_bindings_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_reshape_view_helper_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_retracable_ep_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_retrace_pre_autograd_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_run_decomposition_supports_user_input_mutation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_run_decompositions_keep_metadata_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_run_decompositions_keep_tensor_constant_metadata_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_runtime_assert_for_prim_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_runtime_assert_for_prm_str_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_runtime_assert_with_size_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_sdpa_gqa_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_sequential_slicing_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_set_example_inputs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_set_grad_as_side_effect_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_set_grad_empty_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_set_grad_unflatten_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_setgrad_lifted_tensor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_shared_submodule_nn_module_stack_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_simple_export_for_training_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_simple_unbacked_view_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_size_input_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_slice_nn_module_stack_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_solver_unsupported_sympy_function_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_specialize_derived_dim_roots_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_split_const_gm_with_lifted_constants_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_stack_trace_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_stack_trace_make_fx_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_state_primitives_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_state_shape_attribute_assignment_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_state_tensors_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_static_dim_constraints_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclass_nested_attr_access_complicated_metadata_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclass_nested_attr_access_const_metadata_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclass_nested_attr_access_const_metadata_not_top_level_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclass_nested_attr_access_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclass_nested_attr_access_submodule_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclasses_parameterization_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_subclasses_parameterization_nested_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_suggest_torch_checks_with_non_negative_check_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_suggest_torch_checks_with_regular_check_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_suggested_fixes_for_data_dependent_errors_basic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_suggested_fixes_for_data_dependent_errors_puzzlers_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_suggested_fixes_new_roots_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_sym_float_operators_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_sym_or_sym_and_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_sym_sqrt_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symbool_item_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symfloat_item_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_input_additional_inputs_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_input_basic_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_input_ranges_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_input_shapes_collection_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_input_specialization_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_item_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_output_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_symint_tensor_return_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_tensor_attribute_zero_args_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_tensor_constant_aten_to_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_tensor_constant_with_wrapped_method_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_to_module_with_mutated_buffer_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_to_module_with_mutated_buffer_multiple_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_to_module_with_mutated_buffer_multiple_update_sub_later_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_tolist_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_torch_check_eq_commutativity_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_torch_fn_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_trace_under_fake_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_train_eval_on_exported_preautograd_module_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_3d_matmul_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_bincount_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_bindings_for_divisible_u_symint_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_deferred_runtime_retrace_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_expand_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_infer_size_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_kth_value_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_linear_layer_norm_input_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_noncontig_lin_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_pad_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_scalar_constructor_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_slice_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_to_cond_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_to_cond_passthrough_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unbacked_unsqueeze_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_asserts_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_buffer_update_child2parent_swap_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_closure_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_isinstance_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_multiple_graphs_dispatch_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_multiple_graphs_preserve_signature_no_error_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_multiple_graphs_shared_submodule_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_multiple_graphs_state_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_no_unroll_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_placeholder_update_child2parent_swap_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_placeholder_update_grandchild2cousin_swap_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_5_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_6_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_buf_8_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_const_preserving_3_1_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_const_preserving_3_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_4_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_6_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_9_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_preserving_10_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_1_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_preserving_4_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_preserving_5_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_mutating_buf_preserving_7_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unflatten_random_dag_preserving_4_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unused_aliases_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_unused_constant_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_use_embedding_twice_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_user_input_and_buffer_mutation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_vmap_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_while_loop_assert_separation_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_while_loop_index_assertions_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_while_loop_simple_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_while_loop_tensor_constant_idx_cpp_runtime_nonstrict, test/export/test_nativert.py::NativeRTTestExport::test_wrapper_module_cpp_runtime_nonstrict
2025-09-07T07:09:41.6166010Z 
2025-09-07T07:09:41.8341880Z 
2025-09-07T07:09:41.8342520Z dynamo/test_higher_order_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_higher_order_ops_1.1_c43a7057849e2925_.log
2025-09-07T07:09:41.8405170Z Running 217 items in this shard: test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_access_module_attr, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_allow_python_side_effects_utility, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_capture_constants, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_capture_global_num, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_capture_global_num_adds_guard, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_capture_input_num, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_capture_numpy_number, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_capture_tracked, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_capture_tracked_nested, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_capture_untracked_global, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_capture_untracked_global_nested, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_capture_untracked_nonlocal, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_capture_value_created_in_subgraph, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_concat_unbacked_shape_tensor, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_cond_branches_no_arguments, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_cond_branches_no_arguments_no_closure, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_cond_free_variable_in_both_branches, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_cond_graph_break_in_one_branch, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_cond_pytree_operands, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_cond_pytree_operands_with_non_tensor_leaves, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_cond_side_effect_in_one_branches, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_cond_source_fn_stack, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_cond_subgraph_name_is_valid, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_cond_with_constant_pred, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_cond_with_empty_operands, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_dynamic_shapes_over_vmap_batch_size, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_enum_arg, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_error_message_sane, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_fallback_on_graph_break_complicated, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_fallback_on_graph_break_simple, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_flat_list_output, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_fn_with_kwargs_in_torch_ops, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_freevars_as_inputs_to_wrap, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_grad_source_fn_stack, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_hints_wrapper, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_hints_wrapper_incorrect_type, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_hints_wrapper_no_hints, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_hints_wrapper_pytree_inputs, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_hooks, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_hopify_generic_wrap, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_inlined_functions, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_internal_nonlocal, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_lift_tensor_constant, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_lift_tensors_with_compound_expressions, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_lift_tensors_with_shared_symbols, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_make_closure, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_map_example_value_metadata_consistent_with_eager, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_map_graph_break, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_map_kwargs, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_map_lowers_to_graph, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_map_multi_return, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_map_pytree_return, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_map_side_effect, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_map_source_fn_stack, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_map_subgraph_name_is_valid, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_map_symint_input, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_modules, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_nested_tuple_output, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_nested_wrap, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_no_freevars, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_output_with_dict, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_register_mode, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_register_subclass, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_return_captured_var, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_return_captured_var_used_multiple_times, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_return_captured_vars, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_same_freevar_twice, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_del_existing_attr_global_module, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_del_existing_attr_global_obj, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_del_existing_attr_nonlocal_module, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_del_existing_attr_nonlocal_obj, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_in_body, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_local_list_append_no_graph_break, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_mutate_global_list, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_mutate_global_num, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_mutate_global_num_builtin, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_mutate_global_tensor, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_mutate_global_tensor_builtin, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_mutate_nonlocal_num, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_mutate_nonlocal_num_builtin, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_mutate_nonlocal_tensor, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_mutate_nonlocal_tensor_builtin, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_nested_nonlocal_list_append_graph_break, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_nonlocal_list_append_graph_break, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_set_existing_attr_global_module, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_set_existing_attr_global_obj, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_set_existing_attr_nonlocal_module, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_set_existing_attr_nonlocal_obj, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_set_new_attr_global_module, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_set_new_attr_global_obj, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_set_new_attr_nonlocal_module, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_side_effect_set_new_attr_nonlocal_obj, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_support_float_in_output, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_symint_in_slice, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_symint_input, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_tensor_and_unbacked_symbol_closure, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_tensor_to_list_closure, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_tensor_with_unbacked_shape_closure, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_unbacked_symbol_closure, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_vmap_multiply_scalar, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_vmap_source_fn_stack, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_all_kwarg, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_allow_local_assign_in_body_fn, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_kwarg, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_kwarg_default, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_kwarg_default_else_branch, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_kwarg_default_if_branch, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_kwarg_int, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_kwarg_only, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_kwarg_recompile, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_pytree_args_nested, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_pytree_args_not_const_symint_tensor, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_pytree_args_with_symint_constant, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_pytree_kwargs, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_source_fn_stack, test/dynamo/test_higher_order_ops.py::HigherOrderOpTests::test_wrap_subgraph_name_is_valid, test/dynamo/test_higher_order_ops.py::HigherOrderOpVmapGuardTests::test_dual_level_guard, test/dynamo/test_higher_order_ops.py::HigherOrderOpVmapGuardTests::test_emit_functorch_guard_if_active, test/dynamo/test_higher_order_ops.py::HigherOrderOpVmapGuardTests::test_grad_guard_fail, test/dynamo/test_higher_order_ops.py::HigherOrderOpVmapGuardTests::test_jvp_guard_fail, test/dynamo/test_higher_order_ops.py::HigherOrderOpVmapGuardTests::test_linearize_recompiles, test/dynamo/test_higher_order_ops.py::HigherOrderOpVmapGuardTests::test_vmap_grad_guard_ok, test/dynamo/test_higher_order_ops.py::HigherOrderOpVmapGuardTests::test_vmap_grad_vmap_guard_fail, test/dynamo/test_higher_order_ops.py::HigherOrderOpVmapGuardTests::test_vmap_guard_fail, test/dynamo/test_higher_order_ops.py::HigherOrderOpVmapGuardTests::test_vmap_guard_fail_different_state, test/dynamo/test_higher_order_ops.py::HigherOrderOpVmapGuardTests::test_vmap_guard_ok, test/dynamo/test_higher_order_ops.py::HigherOrderOpVmapGuardTests::test_vmap_recompile_different_states, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_functional_call, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_functional_call_disable_inline_nn_module, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_functional_call_sequential_params_and_buffers, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_call_compiled_backward_fn, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_call_torch_compile_fn, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_capture_tensor, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_closure_scalar, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_fn_with_kwargs, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_freevar_python_scalar, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_freevar_tensor, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_has_aux, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_non_tensor_input, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_over_grad, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_pytree, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_recompile, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_two_tensor_all_grad_has_aux, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_two_tensor_has_aux, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_with_graph_break, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_grad_with_side_effect, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_hessian, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_hessian_argnums, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jacfwd, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jacfwd_has_aux, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jacfwd_randomness, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jacfwd_two_tensors_argnums, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jacrev, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jacrev_has_aux, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jacrev_two_tensors_argnums, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jvp_call_torch_compile_fn, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jvp_freevar_python_scalar, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jvp_freevar_tensor, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jvp_has_aux, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jvp_jvp, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jvp_simple, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jvp_two_tensors_disable_enable_disable_grad, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jvp_two_tensors_disable_grad, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_jvp_two_tensors_has_aux, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_linearize_jvp_fn, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vjp, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vjp_call_compiled_backward_fn, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vjp_has_aux, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vjp_multiple_outputs, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vjp_multiple_outputs_python_struct, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_call_compiled_backward_fn, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_call_torch_compile_fn, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_free_const, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_free_tensor, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_get_wrapped, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_kwargs, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_multiple_invocation_in_dims, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_multiple_invocation_out_dims, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_multiple_outputs, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_diff_dims, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_multiple_outputs_out_dims_tuple, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_new_tensor_implicit_via_op, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_new_tensor_in_body, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_new_tensor_unused_in_body, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_out_dims_None, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_over_vmap_captured, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_over_vmap_two_inputs, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_previous_illegal_op_no_graph_break, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_pytree_inputs, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_recompile, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_recompile_different_config, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_recompile_same_config, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_recompile_with_randomness, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_side_effects, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_side_effects_append_input, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_two_inputs, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_two_inputs_tuple_in_dims, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_with_conditional_graph_break, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_with_graph_break, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_with_graph_break_2, test/dynamo/test_higher_order_ops.py::FuncTorchHigherOrderOpTests::test_vmap_with_graph_break_lambda, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_cond_with_invalid_kwargs, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_cond_with_kwargs, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_cond_with_mismatched_output, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_dropout, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_dropout_inductor, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_fallback, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_flop_counter_for_cond, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_flop_counter_for_cond_unbalanced_branches, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_flop_counter_for_nested_cond, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_function, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_function_with_kwargs, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_module, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_non_aliasing_util, test/dynamo/test_higher_order_ops.py::ActivationCheckpointingTests::test_override_fallthrough_dispatch_key
2025-09-07T07:09:41.8459160Z 
2025-09-07T07:09:43.8749440Z Running dynamo/test_comptime 1/1 ... [2025-09-07 07:09:43.874736]
2025-09-07T07:09:43.8750200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:09:43.8752330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_comptime.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:09:43.874994]
2025-09-07T07:09:44.1320650Z Running test_datapipe 1/1 ... [2025-09-07 07:09:44.131721]
2025-09-07T07:09:44.1481840Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:09:44.1483990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_datapipe.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:09:44.131970]
2025-09-07T07:09:51.5804200Z 
2025-09-07T07:09:51.5805140Z dynamo/test_comptime 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_comptime_1.1_fad2c8682508a891_.log
2025-09-07T07:09:51.5808590Z Running 12 items in this shard: test/dynamo/test_comptime.py::ComptimeTests::test_get_local, test/dynamo/test_comptime.py::ComptimeTests::test_get_local_closure_variable, test/dynamo/test_comptime.py::ComptimeTests::test_graph_break, test/dynamo/test_comptime.py::ComptimeTests::test_print_bt, test/dynamo/test_comptime.py::ComptimeTests::test_print_direct, test/dynamo/test_comptime.py::ComptimeTests::test_print_disas, test/dynamo/test_comptime.py::ComptimeTests::test_print_graph, test/dynamo/test_comptime.py::ComptimeTests::test_print_guards, test/dynamo/test_comptime.py::ComptimeTests::test_print_locals, test/dynamo/test_comptime.py::ComptimeTests::test_print_single, test/dynamo/test_comptime.py::ComptimeTests::test_print_value_stack, test/dynamo/test_comptime.py::ComptimeTests::test_sleep
2025-09-07T07:09:51.5810640Z 
2025-09-07T07:09:53.4596340Z Running dynamo/test_debug_utils 1/1 ... [2025-09-07 07:09:53.459478]
2025-09-07T07:09:53.4596680Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:09:53.4598400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_debug_utils.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:09:53.459736]
2025-09-07T07:09:55.5040600Z 
2025-09-07T07:09:55.5041160Z dynamo/test_debug_utils 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_debug_utils_1.1_6bd249c9bdd47d20_.log
2025-09-07T07:09:55.5043990Z Running 2 items in this shard: test/dynamo/test_debug_utils.py::TestDebugUtilsCPU::test_cast_model_to_fp64_dtype_args_cpu, test/dynamo/test_debug_utils.py::TestDebugUtilsCPU::test_generate_env_vars_string_cpu
2025-09-07T07:09:55.5044740Z 
2025-09-07T07:09:57.3522250Z Running test_out_dtype_op 1/1 ... [2025-09-07 07:09:57.352065]
2025-09-07T07:09:57.3522570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:09:57.3524360Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_out_dtype_op.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:09:57.352330]
2025-09-07T07:10:00.1487630Z 
2025-09-07T07:10:00.1529430Z test_out_dtype_op 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_out_dtype_op_1.1_4da0e137ecc752d9_.log
2025-09-07T07:10:00.1536290Z Running 12 items in this shard: test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_dynamo, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_inductor_decomp, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_inductor_decomp_trace, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_int_mm_default_trace, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_make_fx, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_mm_numerical, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_mul_scalar_numerical, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_no_autograd, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_non_functional, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_non_op_overload, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_op_functional, test/test_out_dtype_op.py::TestOutDtypeOp::test_out_dtype_wrong_output
2025-09-07T07:10:00.1542360Z 
2025-09-07T07:10:02.2849750Z Running functorch/test_eager_transforms 1/1 ... [2025-09-07 07:10:02.284798]
2025-09-07T07:10:02.2850100Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:10:02.2851710Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'functorch/test_eager_transforms.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:10:02.285066]
2025-09-07T07:10:12.0849120Z 
2025-09-07T07:10:12.0850970Z test_datapipe 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_datapipe_1.1_a5ab2f150341b118_.log
2025-09-07T07:10:12.0875760Z Running 94 items in this shard: test/test_datapipe.py::TestDataChunk::test_as_string, test/test_datapipe.py::TestDataChunk::test_getitem, test/test_datapipe.py::TestDataChunk::test_iter, test/test_datapipe.py::TestDataChunk::test_len, test/test_datapipe.py::TestDataChunk::test_random_shuffle, test/test_datapipe.py::TestDataChunk::test_reverse, test/test_datapipe.py::TestDataChunk::test_sort, test/test_datapipe.py::TestStreamWrapper::test_api, test/test_datapipe.py::TestStreamWrapper::test_dir, test/test_datapipe.py::TestStreamWrapper::test_pickle, test/test_datapipe.py::TestStreamWrapper::test_repr, test/test_datapipe.py::TestIterableDataPipeBasic::test_demux_mux_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_groupby_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_listdirfiles_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_listdirfilesdeterministic_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_map_with_col_file_handle_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_openfilesfromdisk_iterable_datapipe, test/test_datapipe.py::TestIterableDataPipeBasic::test_routeddecoder_iterable_datapipe, test/test_datapipe.py::TestCaptureDataFrame::test_basic_capture, test/test_datapipe.py::TestDataFramesPipes::test_batch, test/test_datapipe.py::TestDataFramesPipes::test_capture, test/test_datapipe.py::TestDataFramesPipes::test_collate, test/test_datapipe.py::TestDataFramesPipes::test_filter, test/test_datapipe.py::TestDataFramesPipes::test_shuffle, test/test_datapipe.py::TestDataFramesPipes::test_unbatch, test/test_datapipe.py::TestFunctionalIterDataPipe::test_batch_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_collate_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_concat_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_demux_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_docstring, test/test_datapipe.py::TestFunctionalIterDataPipe::test_filter_datapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_fork_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_iterable_wrapper_datapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_dict_with_col_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_map_tuple_list_with_col_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_mux_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_sampler_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_serializable, test/test_datapipe.py::TestFunctionalIterDataPipe::test_serializable_with_dill, test/test_datapipe.py::TestFunctionalIterDataPipe::test_shuffler_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_stream_reader_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_unbatch_iterdatapipe, test/test_datapipe.py::TestFunctionalIterDataPipe::test_zip_iterdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_batch_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_concat_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_docstring, test/test_datapipe.py::TestFunctionalMapDataPipe::test_map_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_sequence_wrapper_datapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_serializable, test/test_datapipe.py::TestFunctionalMapDataPipe::test_serializable_with_dill, test/test_datapipe.py::TestFunctionalMapDataPipe::test_shuffler_mapdatapipe, test/test_datapipe.py::TestFunctionalMapDataPipe::test_zip_mapdatapipe, test/test_datapipe.py::TestTyping::test_compile_time, test/test_datapipe.py::TestTyping::test_construct_time, test/test_datapipe.py::TestTyping::test_isinstance, test/test_datapipe.py::TestTyping::test_issubinstance, test/test_datapipe.py::TestTyping::test_protocol, test/test_datapipe.py::TestTyping::test_reinforce, test/test_datapipe.py::TestTyping::test_runtime, test/test_datapipe.py::TestTyping::test_subtype, test/test_datapipe.py::TestGraph::test_simple_traverse, test/test_datapipe.py::TestGraph::test_traverse_circular_datapipe, test/test_datapipe.py::TestGraph::test_traverse_forked, test/test_datapipe.py::TestGraph::test_traverse_mapdatapipe, test/test_datapipe.py::TestGraph::test_traverse_mixdatapipe, test/test_datapipe.py::TestGraph::test_traverse_unhashable_datapipe, test/test_datapipe.py::TestSerialization::test_spawn_lambdas_iter, test/test_datapipe.py::TestSerialization::test_spawn_lambdas_map, test/test_datapipe.py::TestCircularSerialization::test_circular_serialization_with_dill, test/test_datapipe.py::TestCircularSerialization::test_circular_serialization_with_pickle, test/test_datapipe.py::TestSharding::test_legacy_custom_sharding, test/test_datapipe.py::TestSharding::test_legacy_custom_sharding_with_old_dataloader, test/test_datapipe.py::TestSharding::test_multi_sharding, test/test_datapipe.py::TestSharding::test_old_dataloader, test/test_datapipe.py::TestSharding::test_sharding_groups, test/test_datapipe.py::TestSharding::test_sharding_groups_in_legacy_grouping_package, test/test_datapipe.py::TestSharding::test_sharding_length, test/test_datapipe.py::TestSharding::test_simple_sharding, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_buggy, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_constraint_multiple_outputs, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_generator, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_new_object, test/test_datapipe.py::TestIterDataPipeSingletonConstraint::test_iterdatapipe_singleton_self_next, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_generator_function, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_generator_function_exception, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_next, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_next_exception, test/test_datapipe.py::TestIterDataPipeCountSampleYielded::test_iterdatapipe_sample_yielded_return_self, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_custom_non_generator, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_custom_self_next, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph_repeated, test/test_datapipe.py::TestIterDataPipeGraphFastForward::test_simple_snapshot_graph_with_serialization
2025-09-07T07:10:12.0894100Z 
2025-09-07T07:10:12.3268710Z 
2025-09-07T07:10:12.3270420Z functorch/test_eager_transforms 1/1 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_eager_transforms_1.1_9dc61b2ae1920272_.log
2025-09-07T07:10:12.3370000Z Running 355 items in this shard: test/functorch/test_eager_transforms.py::TestSliceArgnums::test_argnums_reorders, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_duplicate_argnums, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_negative_int_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_positive_int_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_flat_args_with_tuple_argnum, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_invalid_argnum_type, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_not_enough_argnums, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_out_of_bounds_argnum_values, test/functorch/test_eager_transforms.py::TestSliceArgnums::test_pytree_args, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_buffer_tying, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_combine_state_for_ensemble_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_combine_state_for_ensemble_smoke, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_correctness_mnist_mechanism_functional_call, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_correctness_mnist_mechanism_make_functional, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_disable_autograd_tracking_disable_autograd_tracking_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_disable_autograd_tracking_disable_autograd_tracking_True, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_make_functional_state_correctly_returned_after_forward_mechanism_functional_call, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_make_functional_state_correctly_returned_after_forward_mechanism_make_functional, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying_ensemble, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_parameter_tying_grad, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_leaf, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_mismatch_error, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_stack_module_state_smoke, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_using_detach_functional_call_detach_params_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_using_detach_functional_call_detach_params_True, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_with_buffers_disable_autograd_tracking_disable_autograd_tracking_False, test/functorch/test_eager_transforms.py::TestMakeFunctional::test_with_buffers_disable_autograd_tracking_disable_autograd_tracking_True, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_advanced_indexing_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composed_with_autograd_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_complicated_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_composite_two_ops_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_conj_bit_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_dtype_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_escaped_wrappers_are_ignored_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_escaped_wrappers_are_marked_as_dead_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_fn_with_kwargs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_functional_init_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_functional_init_with_buffers_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_aux_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_aux_tensor_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_of_vjp_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_of_vjp_of_grad_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_grad_pytree_inputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_captures_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_view_base_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_inplace_on_view_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_invalid_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_is_cuda_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_manual_seed_inside_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_negative_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_nesting_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_inside_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_mixed_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_nested_complicated_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_nested_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_fn_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_outside_vjp_only_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_no_grad_value_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_numel_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_out_of_order_argnums_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_primitive_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_print_captured_tensor_inside_transform_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_shape_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_ctor_inside_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_grad_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_tensor_print_vmap_vmap_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_grad_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_hessian_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_unrelated_vjp_multiple_inputs_outputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_view_inplace_simple_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_views_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_aux_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_aux_tensor_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_of_grad_composition_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_outputs_can_any_pytree_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_error_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_input_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_pytree_output_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_vjp_two_outputs_cpu, test/functorch/test_eager_transforms.py::TestGradTransformCPU::test_zero_grad_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_log_softmax_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_new_empty_materializes_tensor_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_new_zeros_materializes_tensor_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_embeddingnet_mechanism_functional_call_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_embeddingnet_mechanism_make_functional_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_inplace_view_cpu, test/functorch/test_eager_transforms.py::TestVmapOfGradCPU::test_per_sample_grads_simple_cpu, 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test/functorch/test_eager_transforms.py::TestExamplesCorrectnessCPU::test_update_batch_norm_mechanism_make_functional_originally_track_running_stats_True_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_basic_sum_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_functional_call_multiple_dicts_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_grad_grad_sum_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_grad_name_wrapping_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_grad_sum_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_no_grad_inside_grad_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_no_grad_outside_grad_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_vmap_grad_sum_cpu, test/functorch/test_eager_transforms.py::TestHigherOrderOperatorInteractionCPU::test_vmap_sum_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fake_tensors_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_multi_out_op_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_out_op_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_reapply_views_simple_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_simple_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_fx_transpose_simple_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_grad_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_nonfunctional_output_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_opt_tensor_list_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_optional_tensorlist1_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_functionalize_optional_tensorlist2_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_inplace_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_linear_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_multioutput_inplace_slice_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_multioutput_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_resize_program_inputs_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_simple_view_cpu, test/functorch/test_eager_transforms.py::TestFunctionalizeCPU::test_vmap_functionalize_jvp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_jvp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_False_save_for_vjp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_jvp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_input_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_input_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_neither_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_neither_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_output_mark_dirty_False_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_function_returns_input_inner_requires_grad_True_save_for_vjp_save_tensors_output_mark_dirty_True_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_grad_fn_name_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_needs_input_grads_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_once_differentiable_autograd_vjp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_once_differentiable_grad_vjp_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionCPU::test_set_materialize_grads_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_has_vmap_staticmethod_and_has_generate_vmap_rule_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_in_dims_multiple_inputs_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_in_dims_single_input_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_incompatible_out_dims_error_msg_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_info_object_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_kwarg_only_tensors_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_no_vmap_staticmethod_and_no_generate_vmap_rule_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_none_returns_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_should_have_two_returns_cpu, test/functorch/test_eager_transforms.py::TestAutogradFunctionVmapAPICPU::test_skips_empty_layer_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_error_if_name_collision_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_nesting_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_overrides_saved_tensors_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_CtxWithSavedTensors_passthrough_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_debug_unwrap_cpu, test/functorch/test_eager_transforms.py::TestHelpersCPU::test_reductify_leaf_cpu, test/functorch/test_eager_transforms.py::TestCompileTransformsCPU::test_compile_vmap_hessian_cpu, test/functorch/test_eager_transforms.py::TestCompileTransformsCPU::test_grad_deprecated_api_cpu
2025-09-07T07:10:12.3462190Z 
2025-09-07T07:10:14.3883980Z Running export/test_hop 1/1 ... [2025-09-07 07:10:14.388207]
2025-09-07T07:10:14.3884720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:10:14.3886830Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'export/test_hop.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:10:14.388464]
2025-09-07T07:10:14.5306920Z Running profiler/test_cpp_thread 1/1 ... [2025-09-07 07:10:14.530492]
2025-09-07T07:10:14.5307820Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:10:14.5308740Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'profiler/test_cpp_thread.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:10:14.530755]
2025-09-07T07:10:16.8791770Z 
2025-09-07T07:10:16.8792400Z profiler/test_cpp_thread 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_cpp_thread_1.1_36317252b58e1586_.log
2025-09-07T07:10:16.8795590Z Running 6 items in this shard: test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_profile_memory_cuda, test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_with_enable_profiler_in_child_thread_cuda, test/profiler/test_cpp_thread.py::CppThreadTestCUDA::test_without_enable_profiler_in_child_thread_cuda, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_profile_memory_xpu, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_with_enable_profiler_in_child_thread_xpu, test/profiler/test_cpp_thread.py::CppThreadTestXPU::test_without_enable_profiler_in_child_thread_xpu
2025-09-07T07:10:16.8797140Z 
2025-09-07T07:10:18.8987910Z Running inductor/test_auto_functionalize 1/1 ... [2025-09-07 07:10:18.898576]
2025-09-07T07:10:18.8988790Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:10:18.8991410Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_auto_functionalize.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:10:18.898844]
2025-09-07T07:10:23.7437890Z 
2025-09-07T07:10:23.7438830Z export/test_hop 1/1 was successful, full logs can be found in artifacts with path test/test-reports/export.test_hop_1.1_b83abef4e909eeb4_.log
2025-09-07T07:10:23.7449950Z Running 40 items in this shard: test/export/test_hop.py::TestHOPCPU::test_aot_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_aot_export_while_loop_stack_output_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_pre_dispatch_export_while_loop_stack_output_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_retrace_export_while_loop_stack_output_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_auto_functionalize_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_cond_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_flex_attention_backward_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_flex_attention_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_quant_packed_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_quant_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_invoke_subgraph_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_scan_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_while_loop_simple_cpu_float32, test/export/test_hop.py::TestHOPCPU::test_serialize_export_while_loop_stack_output_simple_cpu_float32
2025-09-07T07:10:23.7459320Z 
2025-09-07T07:10:25.7912710Z Running torch_np/test_function_base 1/1 ... [2025-09-07 07:10:25.791063]
2025-09-07T07:10:25.7913540Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:10:25.7915710Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/test_function_base.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:10:25.791338]
2025-09-07T07:10:27.8534390Z 
2025-09-07T07:10:27.8534990Z torch_np/test_function_base 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_function_base_1.1_5642bd6c1d08ceb1_.log
2025-09-07T07:10:27.8536510Z Running 1 items in this shard: test/torch_np/test_function_base.py::TestAppend::test_basic
2025-09-07T07:10:27.8536800Z 
2025-09-07T07:10:29.9300190Z Running cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 ... [2025-09-07 07:10:29.929771]
2025-09-07T07:10:29.9301310Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:10:29.9303790Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:10:29.930027]
2025-09-07T07:10:34.3184090Z 
2025-09-07T07:10:34.3186630Z cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic 1/1 was successful, full logs can be found in artifacts with path test/test-reports/cpp_extensions.libtorch_agnostic_extension.test.test_libtorch_agnostic_1.1_75aa9f6fd386017e_.log
2025-09-07T07:10:34.3197570Z Running 24 items in this shard: test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_default_constructor_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_device_guard_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_device_guard_set_index_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_divide_neg_exp_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_exp_neg_is_leaf_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_fill_infinity_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_get_current_device_index_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_identity_does_not_hog_memory_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_is_contiguous_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_abs_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_amax_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_amax_vec_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_empty_like_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_is_cpu_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_narrow_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_new_empty_dtype_variant_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_new_zeros_dtype_variant_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_ones_like_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_pad_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_transpose_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_my_zero__cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_neg_exp_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_slow_sgd_cpu, test/cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic.py::TestLibtorchAgnosticCPU::test_stream_cpu
2025-09-07T07:10:34.3206060Z 
2025-09-07T07:10:36.4911070Z Running dynamo/test_aot_autograd 1/1 ... [2025-09-07 07:10:36.490914]
2025-09-07T07:10:36.4911850Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:10:36.4913990Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_aot_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:10:36.491169]
2025-09-07T07:10:37.3553860Z 
2025-09-07T07:10:37.3554920Z inductor/test_auto_functionalize 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_auto_functionalize_1.1_e661109209ec9363_.log
2025-09-07T07:10:37.3566790Z Running 39 items in this shard: test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias2_dynamic, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias_id_input_to_custom_op, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_alias_id_output, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_can_with_default, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_can_with_none_return, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra1, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra3, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra4, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_extra5, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_old, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_on_view, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_optional_old, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_optional_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_self_as_mutate_arg, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_tensorlist, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_with_returns_old, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_auto_functionalize_with_returns_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_can_auto_functionalize, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_dynamic2_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_dynamic3_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_dynamic_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_graph_input_is_view, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode1_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode2_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode3_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode4_v2, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_inference_mode_view, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_recompile, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_scheduling_with_multiple_mutates, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_slice, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_slice_dynamic, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_split, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_split_dynamic, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_try_use_slice, test/inductor/test_auto_functionalize.py::AutoFunctionalizeTests::test_unbacked_auto_functionalize_op
2025-09-07T07:10:37.3577180Z 
2025-09-07T07:10:39.5636360Z Running dynamo/test_graph_deduplication 1/1 ... [2025-09-07 07:10:39.563445]
2025-09-07T07:10:39.5636760Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:10:39.5638730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_graph_deduplication.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:10:39.563742]
2025-09-07T07:10:46.3894310Z 
2025-09-07T07:10:46.3895060Z dynamo/test_graph_deduplication 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_graph_deduplication_1.1_f5fa0a9fc838179e_.log
2025-09-07T07:10:46.3901250Z Running 18 items in this shard: test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_autocast_ordering, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_arg_and_additional_deps, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_complex, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_no_cycle, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_simple, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_single_node, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_cycle_detection_two_node, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_dependent_subgraphs, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_input_aliasing, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_input_mutation, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_multiple_subgraphs, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_mutation_ordering, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_output_nodes_last, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_param_transfer_to_submodule, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_single_subgraph, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_single_subgraph2, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_tuple_inputs, test/dynamo/test_graph_deduplication.py::GraphDededuplicationTests::test_tuple_return
2025-09-07T07:10:46.3906170Z 
2025-09-07T07:10:48.4767520Z Running test_model_exports_to_core_aten 1/1 ... [2025-09-07 07:10:48.476479]
2025-09-07T07:10:48.4768360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:10:48.4770610Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_model_exports_to_core_aten.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:10:48.476790]
2025-09-07T07:10:50.4683490Z 
2025-09-07T07:10:50.4684170Z test_model_exports_to_core_aten 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_model_exports_to_core_aten_1.1_8c92d75d5e5edeeb_.log
2025-09-07T07:10:50.4686000Z Running 1 items in this shard: test/test_model_exports_to_core_aten.py::TestQuantizePT2EModels::test_vit_aten_export
2025-09-07T07:10:50.4686330Z 
2025-09-07T07:10:52.6228650Z Running test_itt 1/1 ... [2025-09-07 07:10:52.622672]
2025-09-07T07:10:52.6229360Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:10:52.6231390Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_itt.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:10:52.622936]
2025-09-07T07:10:54.5208200Z 
2025-09-07T07:10:54.5209100Z test_itt 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_itt_1.1_632f9aae488ec866_.log
2025-09-07T07:10:54.5210420Z Running 1 items in this shard: test/test_itt.py::TestItt::test_itt
2025-09-07T07:10:56.5456210Z 
2025-09-07T07:10:56.5456900Z Running test_modules 1/1 ... [2025-09-07 07:10:56.545520]
2025-09-07T07:10:56.5458220Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:10:56.5460280Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_modules.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:10:56.545790]
2025-09-07T07:11:09.4550050Z 
2025-09-07T07:11:09.4550780Z dynamo/test_aot_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_aot_autograd_1.1_3f1d71580bf0fbca_.log
2025-09-07T07:11:09.4566490Z Running 48 items in this shard: test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_LSTM, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_alias_inputs, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_autograd_expand_mutation_backwards, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_autograd_expand_mutation_error, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_autograd_expand_mutation_functionalizes, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_autograd_raises_invalid_leaf_set, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_export_joint_simple_repro, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_grad_mode_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_aot_sequence_nr, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_args_param_non_tensor_arg_list, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_arg_dupe_via_dynamo_recompiles_many_with_global, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_autograd_function_tangent_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_safe, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_call_fn_with_non_const_inputs_aot_unsafe_control_flow, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_data_ptr_access_copy, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_data_ptr_access_fails_in_backward, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_data_ptr_access_fails_in_forward, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_different_inputs_overlapping_set_with_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer1, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer2, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer3, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer4, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer5, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer6, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph1, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph2, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph3, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_donated_buffer_with_retain_or_create_graph4, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_double_backward_errors, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_eager_sequence_nr, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_grad_inputs_alias_inputs, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_inputs_overlapping_with_mutation_recompile, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_inputs_overlapping_with_mutation_stress, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_multiple_aot_autograd_calls_dupe_args, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_mutation1, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_negative_testing, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_negative_testing_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_nn_parameter_construction, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_no_storage_overlap_guards_no_aliasing, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_no_storage_overlap_guards_no_mutation, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_requires_grad_fake_via_dynamo_recompiles, test/dynamo/test_aot_autograd.py::AotAutogradFallbackTests::test_split_with_sizes_aot_autograd_cleans_up_traceback_meta
2025-09-07T07:11:09.4580350Z 
2025-09-07T07:11:11.5153720Z Running inductor/test_custom_partitioner_fn 1/1 ... [2025-09-07 07:11:11.515162]
2025-09-07T07:11:11.5154630Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:11:11.5156840Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'inductor/test_custom_partitioner_fn.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:11:11.515437]
2025-09-07T07:11:14.4884330Z 
2025-09-07T07:11:14.4885270Z inductor/test_custom_partitioner_fn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/inductor.test_custom_partitioner_fn_1.1_5d7fc718a653c4ef_.log
2025-09-07T07:11:14.4885780Z 
2025-09-07T07:11:16.4884140Z Running test_decomp 4/5 ... [2025-09-07 07:11:16.488258]
2025-09-07T07:11:16.4884430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:11:16.4886670Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=4', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:11:16.488538]
2025-09-07T07:11:26.6460730Z 
2025-09-07T07:11:26.6461510Z functorch/test_ops 1/2 was successful, full logs can be found in artifacts with path test/test-reports/functorch.test_ops_1.2_0b31de6e92d30915_.log
2025-09-07T07:11:26.7644300Z Running 5201 items in this shard: test/functorch/test_ops.py::TestOperatorsCPU::test_data_write_errors_under_transform_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_cross_entropy_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_l1_loss_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_layer_norm_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_log_softmax_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_mse_loss_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_nll_loss_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_extremal_numerics_softmax_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_eye_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pairwise_distance_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_grad_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_index_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_eigh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_rrelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpjvpvmap_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_histogram_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_adaptive_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvjpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_jvpvmapvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_bool_raises_argmax_cpu_bool, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_bool_raises_argmin_cpu_bool, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_bool_raises_ceil_cpu_bool, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_amax_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_amin_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_argmax_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_argmax_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_argmin_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_ceil_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_ceil_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_floor_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_floor_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_ge_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_lt_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_lt_cpu_complex32, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_lt_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_maximum_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_maximum_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_minimum_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_minimum_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_sort_cpu_complex128, test/functorch/test_ops.py::TestOperatorsCPU::test_ordered_complex_raises_sort_cpu_complex64, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_conj_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_contiguous_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_diagonal_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_expand_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_expand_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_flatten_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_flatten_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_dsplit_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_hsplit_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_split_list_args_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_split_list_args_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_list_return_unbind_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_mT_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_narrow_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_reshape_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_conj_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_neg_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_resolve_neg_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_select_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_select_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_special_grad_op_jvp_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_special_grad_op_vjp_cpu, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_squeeze_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_squeeze_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_squeeze_multiple_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_squeeze_multiple_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unflatten_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unflatten_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unfold_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unsqueeze_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_unsqueeze_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_as_complex_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_grad_op_jvp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_view_then_inplace_view_grad_op_vjp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_floor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_index_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_kthvalue_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_gelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_normalize_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_tensordot_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_H_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_linalg_matrix_rank_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_meshgrid_list_of_tensors_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_nn_functional_fractional_max_pool2d_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvjpvmap_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_abs_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cov_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_deg2rad_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_kron_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lgamma_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_adaptive_max_pool1d_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmap_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vjpvmapvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_H_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_NumpyTakeAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ScaleGradGenVmapAutogradFunction_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___getitem___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___getitem___functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___radd___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rdiv___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad___rsub___cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__segment_reduce_lengths_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__segment_reduce_lengths_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__softmax_backward_data_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__unsafe_masked_index_put_accumulate_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_acos_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_acosh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmm_decomposed_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addmv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_addr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_allclose_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_amin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_aminmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_angle_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_argsort_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_partial_views_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_as_strided_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atanh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_atleast_3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_baddbmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bernoulli_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_block_diag_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bool_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_broadcast_tensors_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_broadcast_to_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_byte_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_byte_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cartesian_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cdouble_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ceil_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_char_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_inverse_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cholesky_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_chunk_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_clone_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_combinations_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_complex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_conj_physical_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_constant_pad_nd_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_contiguous_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cosh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cov_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cross_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumprod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_cumulative_trapezoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_digamma_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_no_rounding_mode_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_div_trunc_rounding_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_einsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_empty_permuted_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_eq_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_erfinv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_expand_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_exponential_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_fftshift_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_hfftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ifftshift_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_irfftn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfft2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fft_rfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fill_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_float_power_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_floor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_floor_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_fmod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_frac_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gather_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ge_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_geometric_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_grid_sampler_2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_gt_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_half_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hash_tensor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_heaviside_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histogram_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_histogramdd_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hsplit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hstack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_igammac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_fill_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_put_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_index_reduce_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_inner_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_int_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_int_functorch_no_channels_last_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isfinite_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isposinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isposinf_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_isreal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_2inputs_2outputs_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_4inputs_with_extra_args_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_jiterator_unary_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_kthvalue_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ldexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lerp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lgamma_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cholesky_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cholesky_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cond_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_cross_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eig_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigh_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_eigvals_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_householder_product_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_inv_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_inv_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_factor_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_ldl_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lstsq_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lstsq_grad_oriented_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_factor_ex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_lu_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_matrix_rank_hermitian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_multi_dot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_norm_subgradients_at_zero_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_pinv_hermitian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_qr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_solve_triangular_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_svd_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_tensorsolve_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vander_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vecdot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linalg_vector_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linspace_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_linspace_tensor_overload_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log10_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log2_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_softmax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_log_softmax_with_dtype_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logaddexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logdet_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_and_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logical_not_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lt_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mT_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_cumsum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_logaddexp_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_median_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_select_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_softmin_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_std_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_sum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_masked_var_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matmul_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_matrix_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_maximum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_median_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_meshgrid_variadic_tensors_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_binary_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_no_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_minimum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mode_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_multinomial_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mv_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_mvlgamma_mvlgamma_p_3_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanmean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanmedian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nanquantile_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nansum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_narrow_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_native_dropout_backward_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ne_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_neg_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_empty_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_new_zeros_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_adaptive_max_pool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_alpha_dropout_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_batch_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_channel_shuffle_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_no_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_depthwise_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_no_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_stride_padding_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose1d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_conv_transpose3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cosine_similarity_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_cross_entropy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_ctc_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_elu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_bag_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_embedding_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_feature_alpha_dropout_without_train_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_gelu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_glu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardshrink_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardsigmoid_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hardswish_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_huber_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_instance_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bicubic_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_bilinear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_linear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_interpolate_trilinear_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_kl_div_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_leaky_relu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_margin_ranking_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool1d_grad_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool2d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool3d_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_max_unpool3d_grad_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mish_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_mse_loss_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_head_attention_forward_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multi_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_multilabel_soft_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_nll_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_circular_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_constant_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pad_replicate_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pairwise_distance_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pdist_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_pixel_unshuffle_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_scaled_dot_product_attention_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_silu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_smooth_l1_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_soft_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_softplus_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_tanhshrink_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_threshold_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_triplet_margin_with_distance_loss_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nn_functional_unfold_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_nonzero_static_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_fro_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_nuc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_norm_nuc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ops_aten_index_put_functorch_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_outer_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pinverse_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polar_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_positive_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_pow_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_quantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rand_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randint_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_randn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_ravel_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reciprocal_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_remainder_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_as_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_reshape_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resize_as__cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_resolve_neg_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_roll_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rot90_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_round_decimals_neg_3_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scalar_tensor_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amax_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_prod_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_scatter_reduce_sum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_searchsorted_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_select_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sgn_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_blackman_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_exponential_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_gaussian_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_cosine_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_general_hamming_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_hamming_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_signbit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_slice_scatter_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sparse_mm_reduce_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sparse_sampled_addmm_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_airy_ai_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_j0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_y0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_bessel_y1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_v_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_chebyshev_polynomial_w_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_entr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_erfcx_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_hermite_polynomial_h_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_hermite_polynomial_he_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_i1e_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_laguerre_polynomial_l_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_legendre_polynomial_p_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_log_ndtr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_modified_bessel_k1_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_ndtr_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_scaled_modified_bessel_k0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_t_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_shifted_chebyshev_polynomial_w_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_spherical_bessel_j0_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_special_zeta_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_list_args_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sqrt_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stack_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_mean_unbiased_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_stft_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sum_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_sum_to_size_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_svd_lowrank_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_t_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_along_dim_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_take_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tan_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tensordot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tile_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_transpose_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_tril_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_triu_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_trunc_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unbind_copy_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unbind_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unflatten_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unique_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsafe_chunk_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsafe_split_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_unsqueeze_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_mean_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_mean_unbiased_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vdot_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_as_complex_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_as_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_view_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_vsplit_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zeros_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmap_autograd_grad_zeros_like_cpu_float64, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rmatmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__native_batch_norm_legit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_char_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_eq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_hfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ifftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_ihfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_rfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_flatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_flip_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_frexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_MulGenVmapAutogradFunction_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log10_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_gaussian_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_pixel_unshuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_selu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_tanhshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_ormqr_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rand_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_rsqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_blackman_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_bessel_y1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_entr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_xlog1py_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unique_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_has_batch_rule_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_heaviside_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_igamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_index_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_item_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_4inputs_with_extra_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_jiterator_binary_return_by_ref_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_le_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cholesky_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_tensorsolve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linalg_vector_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log1p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logical_or_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_select_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_masked_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_max_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_max_pool2d_with_indices_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_min_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_binary_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv2d_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_dropout3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_embedding_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool1d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_softsign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_triplet_margin_with_distance_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_nonzero_static_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_permute_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polygamma_polygamma_n_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_polygamma_polygamma_n_2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_randint_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_remainder_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_round_decimals_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_scatter_reduce_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sparse_mm_reduce_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_unsafe_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpall_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__chunk_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__segment_reduce_offsets_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_abs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_acos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addcdiv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_all_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_aminmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_as_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_asinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bfloat16_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_bool_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_broadcast_shapes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_broadcast_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cholesky_inverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_clone_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_constant_pad_nd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cummin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_expand_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_expand_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ihfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_irfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fft_rfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fliplr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_float_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_float_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_fmod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_gradient_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_grid_sampler_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_histc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_histogramdd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_hsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_hstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_hypot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_index_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_inner_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_int_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_int_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isfinite_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isinf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isnan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isneginf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_isreal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_2inputs_2outputs_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_jiterator_unary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ldexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lgamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_eigvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_inv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lstsq_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lstsq_grad_oriented_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_matrix_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_matrix_rank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_matrix_rank_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_pinv_hermitian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_tensorinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linalg_vecdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_log_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logaddexp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_long_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_logsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_masked_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_maximum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_native_batch_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_channel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_groups_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv_transpose1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_cross_entropy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_dropout2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_embedding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_feature_alpha_dropout_without_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_fractional_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardswish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_interpolate_nearest-exact_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_max_unpool3d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_mse_loss_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_circular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_reflect_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pad_replicate_negative_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_pixel_shuffle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_prelu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_rms_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_silu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_softmin_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_threshold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_triplet_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_upsample_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nn_functional_upsample_nearest_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_normal_number_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ones_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_pca_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_pinverse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_pow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_rad2deg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_reshape_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_resize__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_round_decimals_neg_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_rsub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scalar_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_add_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_signbit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sparse_sampled_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_polygamma_special_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sqrt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_stft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_take_along_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_transpose_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_xlogy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapjvpvmap_SelectGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyExpMarkDirtyAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_SortGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_T_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_ZeroGradientsGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___getitem___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___getitem___functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rmod___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__batch_norm_with_update_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp__upsample_bilinear2d_aa_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_arange_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_asin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atan2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bernoulli_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bfloat16_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bool_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cauchy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cdist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_char_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_clamp_max_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_column_stack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_corrcoef_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cos_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_count_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cummax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diag_embed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_diff_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_double_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_double_functorch_no_channels_last_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_min_binary_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_min_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nansum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_narrow_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_native_dropout_backward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_native_layer_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_new_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_new_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_new_ones_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_avg_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_batch_norm_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_hinge_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_instance_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_local_response_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_logsigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_nn_functional_max_unpool3d_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_reduce_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_reduce_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_searchsorted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sigmoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_general_cosine_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_hann_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sinh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_slice_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_slice_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_airy_ai_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_bessel_j1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_erfcx_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_i1e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_log_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_modified_bessel_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_ndtr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_ndtri_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_shifted_chebyshev_polynomial_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_square_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_squeeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_std_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sub_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_svd_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_svd_lowrank_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_take_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_tensordot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_tile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_torch_ops_aten__safe_softmax_default_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_tril_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unflatten_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_view_as_complex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_where_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ForwardHasDefaultArgsAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_H_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpyMulAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_NumpySortAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ScaleGradGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_SelectAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___radd___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___rdiv___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___rmul___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___rpow___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp___rsub___cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__softmax_backward_data_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__unsafe_masked_index_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp__unsafe_masked_index_put_accumulate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_acosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addcmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addmm_decomposed_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addmv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_addr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_alias_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_allclose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_amax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_angle_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_any_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_argmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_argsort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_argwhere_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_as_strided_partial_views_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_as_strided_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atan_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atleast_1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_atleast_3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_baddbmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_block_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bmm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_broadcast_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_bucketize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_byte_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_byte_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cartesian_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cdouble_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ceil_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cfloat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_chalf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cholesky_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cholesky_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_clamp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_clamp_min_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_combinations_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_conj_physical_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_copysign_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cosh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cumsum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_cumulative_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_deg2rad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diagflat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diagonal_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_diagonal_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_digamma_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_dist_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_div_floor_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_div_no_rounding_mode_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_div_trunc_rounding_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_double_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_dstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_empty_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_empty_permuted_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_equal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_erf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_erfc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_erfinv_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_exp2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_exp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_expand_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_expm1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_fft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_fft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_fftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_fftshift_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_hfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_hfftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ifft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ifft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ifftn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_ihfft_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fft_irfft2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_flipud_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_float_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_frac_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_full_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_full_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_gather_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ge_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_geometric_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_geqrf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_grid_sampler_2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_gt_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_half_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_hash_tensor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_hypot_cpu_float32, 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test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lerp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_cond_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_cross_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_det_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_diagonal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_eigvalsh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_householder_product_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_ldl_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_ldl_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_ldl_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lu_factor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lu_factor_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_lu_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_matrix_power_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_multi_dot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_norm_subgradients_at_zero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_pinv_singular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_slogdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_solve_ex_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_solve_triangular_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_svdvals_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linalg_vander_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linspace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_linspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log2_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_log_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logaddexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logcumsumexp_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logdet_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logical_and_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logical_not_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logical_xor_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_logspace_tensor_overload_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_long_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_lu_unpack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mH_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mT_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_argmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_cumprod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_fill_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_fill_functorch_Scalar_only_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_median_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_prod_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_softmax_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_masked_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_matmul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_max_reduction_no_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_max_reduction_with_dim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_meshgrid_list_of_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_meshgrid_variadic_tensors_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_minimum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_movedim_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_msort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mul_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_multinomial_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mvlgamma_mvlgamma_p_1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mvlgamma_mvlgamma_p_3_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_mvlgamma_mvlgamma_p_5_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nan_to_num_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nanmean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nanmedian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nanquantile_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_narrow_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_new_empty_strided_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_new_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nextafter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_avg_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_max_pool1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_adaptive_max_pool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_alpha_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_avg_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_celu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv1d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_stride_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_stride_padding_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_stride_padding_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_stride_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_strided_padding_dilation_no_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv2d_strided_padding_dilation_with_bias_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_conv_transpose2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_cosine_embedding_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_cosine_similarity_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_ctc_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_dropout_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_elu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_embedding_bag_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_feature_alpha_dropout_with_train_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_fractional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_glu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_grid_sample_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_group_norm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_hardshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_hardtanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_huber_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_area_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_bicubic_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_bilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_linear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_interpolate_trilinear_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_kl_div_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_leaky_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_margin_ranking_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_pool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool2d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool2d_grad_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_max_unpool3d_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_mish_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_mse_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_multi_head_attention_forward_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_multi_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_multilabel_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_multilabel_soft_margin_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_normalize_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_pad_replicate_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_poisson_nll_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_relu6_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_relu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_scaled_dot_product_attention_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_smooth_l1_loss_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_softmin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_softplus_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_softshrink_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nn_functional_unfold_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_nonzero_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_norm_fro_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_norm_inf_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_normal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_normal_in_place_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ops_aten__new_zeros_with_same_feature_meta_functorchonly_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ops_aten_index_put_functorch_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ormqr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_outer_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_permute_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polar_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_polygamma_polygamma_n_4_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_positive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_put_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_qr_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_randint_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_randn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_randn_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_ravel_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_real_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_reciprocal_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_renorm_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_repeat_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_repeat_interleave_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_reshape_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resize_as__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resolve_conj_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_resolve_neg_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_roll_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_rot90_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_round_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_round_decimals_0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_amin_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_scatter_reduce_sum_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_select_scatter_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sgn_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_short_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_short_functorch_no_channels_last_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_bartlett_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_exponential_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_gaussian_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_general_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_hamming_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_kaiser_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_signal_windows_nuttall_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sinc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_softmax_with_dtype_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sort_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_bessel_y0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_hermite_polynomial_h_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_hermite_polynomial_he_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_i0e_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_i1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_laguerre_polynomial_l_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_legendre_polynomial_p_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_modified_bessel_i0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_scaled_modified_bessel_k0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_scaled_modified_bessel_k1_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_shifted_chebyshev_polynomial_u_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_shifted_chebyshev_polynomial_v_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_shifted_chebyshev_polynomial_w_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_spherical_bessel_j0_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_special_zeta_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_split_list_args_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_split_with_sizes_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_split_with_sizes_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_squeeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_squeeze_multiple_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_std_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_sum_to_size_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_t_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tanh_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_tensor_split_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_to_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_to_sparse_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_topk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_trace_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_transpose_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_trapezoid_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_trapz_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_triangular_solve_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_triu_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_true_divide_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_trunc_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unbind_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unbind_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unfold_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_uniform_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unique_consecutive_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unsafe_chunk_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unsqueeze_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_unsqueeze_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_var_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_var_mean_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_var_mean_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_var_unbiased_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_vdot_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_view_as_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_view_copy_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_view_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_vsplit_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_vstack_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_zero__cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_zeros_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvjp_zeros_like_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_CubeGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_MulGenVmapAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyCubeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyCubeNotComposableAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_NumpyTakeAutogradFunction_cpu_float32, test/functorch/test_ops.py::TestOperatorsCPU::test_vmapvjpvmap_SortGenVmapAutogradFunction_cpu_float32
2025-09-07T07:11:26.8808560Z 
2025-09-07T07:11:28.5525910Z Running test_decomp 5/5 ... [2025-09-07 07:11:28.552382]
2025-09-07T07:11:28.5526600Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:11:28.5528650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_decomp.py', '-m', 'not serial', '--shard-id=5', '--num-shards=5', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:11:28.552639]
2025-09-07T07:17:04.4198440Z 
2025-09-07T07:17:04.4199410Z test_modules 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_modules_1.1_875fa79ca3d8533b_.log
2025-09-07T07:17:04.5683540Z Running 6841 items in this shard: test/test_modules.py::TestModuleCPU::test_check_inplace_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_check_inplace_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_AdaptiveAvgPool1d_cpu_float32, 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test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ConvTranspose2d_cpu_complex64, 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test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_cpu_gpu_parity_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_device_ctx_init_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_errors_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_errors_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_factory_kwargs_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_forward_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_forward_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_forward_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_forward_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_grad_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_gradgrad_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_BatchNorm3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GRU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_InstanceNorm1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_InstanceNorm1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_InstanceNorm2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_InstanceNorm2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_InstanceNorm3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_InstanceNorm3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LSTM_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LSTM_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiheadAttention_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_MultiheadAttention_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNN_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_RNN_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerEncoder_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_TransformerEncoder_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_if_train_and_eval_modes_differ_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_memory_format_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_multiple_device_transfer_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_non_contiguous_tensors_nn_GELU_cpu_float32, 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test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_repr_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_repr_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_repr_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_repr_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveAvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AdaptiveMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_AvgPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCEWithLogitsLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BCEWithLogitsLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_BatchNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Bilinear_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Bilinear_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CTCLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CTCLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CircularPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConstantPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Conv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose3d_cpu_complex128, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose3d_cpu_complex32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose3d_cpu_complex64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CosineEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CosineEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_CrossEntropyLoss_cpu_float16, test/test_modules.py::TestModuleCPU::test_save_load_nn_CrossEntropyLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_CrossEntropyLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Embedding_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Embedding_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_FractionalMaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_FractionalMaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_FractionalMaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_FractionalMaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRUCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRUCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GRU_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GaussianNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GaussianNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_GroupNorm_cpu_bfloat16, test/test_modules.py::TestModuleCPU::test_save_load_nn_GroupNorm_cpu_float16, test/test_modules.py::TestModuleCPU::test_save_load_nn_GroupNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_GroupNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardswish_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardswish_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardtanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Hardtanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_HingeEmbeddingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_HingeEmbeddingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_HuberLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_HuberLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm1d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm1d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm1d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm1d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm2d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm2d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm2d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm2d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm3d_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm3d_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm3d_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_InstanceNorm3d_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_KLDivLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_KLDivLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_L1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_L1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LPPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTMCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTMCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTM_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTM_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTM_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LSTM_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LayerNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LayerNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConv3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LazyConvTranspose3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LeakyReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LeakyReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Linear_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Linear_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LocalResponseNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LocalResponseNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LogSigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LogSigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_LogSoftmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_LogSoftmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MSELoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MSELoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MarginRankingLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MarginRankingLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MaxPool3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Mish_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Mish_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiLabelMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiLabelMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiLabelSoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiLabelSoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiheadAttention_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiheadAttention_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiheadAttention_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_MultiheadAttention_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_NLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_NLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_PReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_PReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_PoissonNLLLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_PoissonNLLLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RMSNorm_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RMSNorm_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNNCell_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNNCell_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_RNN_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU6_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU6_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReflectionPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReplicationPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReplicationPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReplicationPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReplicationPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReplicationPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ReplicationPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SELU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SELU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SiLU_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SiLU_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Sigmoid_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Sigmoid_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SmoothL1Loss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SmoothL1Loss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_SoftMarginLoss_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_SoftMarginLoss_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmax_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmin_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softmin_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softplus_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softplus_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softsign_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Softsign_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Tanh_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Tanh_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Tanhshrink_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Tanhshrink_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Threshold_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Threshold_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerDecoderLayer_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerDecoderLayer_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoderLayer_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoder_eval_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoder_eval_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoder_train_mode_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_TransformerEncoder_train_mode_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_Transformer_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_Transformer_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad1d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad1d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad2d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad2d_cpu_float64, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad3d_cpu_float32, test/test_modules.py::TestModuleCPU::test_save_load_nn_ZeroPad3d_cpu_float64, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveAvgPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AdaptiveMaxPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_AvgPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BCELoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BCELoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BCEWithLogitsLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BCEWithLogitsLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm1d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm2d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm2d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm2d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm2d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm3d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm3d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm3d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_BatchNorm3d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Bilinear_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Bilinear_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CELU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CELU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CTCLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CTCLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CircularPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConstantPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Conv3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ConvTranspose3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CosineEmbeddingLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CosineEmbeddingLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CrossEntropyLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_CrossEntropyLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ELU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ELU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Embedding_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Embedding_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_FractionalMaxPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GELU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GELU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRUCell_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRUCell_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRU_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRU_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRU_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GRU_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GaussianNLLLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GaussianNLLLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GroupNorm_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_GroupNorm_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardshrink_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardshrink_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardswish_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardswish_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardtanh_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Hardtanh_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_HingeEmbeddingLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_HingeEmbeddingLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_HuberLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_HuberLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm1d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm1d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm1d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm1d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm2d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm3d_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm3d_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm3d_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_InstanceNorm3d_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_KLDivLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_KLDivLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_L1Loss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_L1Loss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LPPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTMCell_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTMCell_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTM_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTM_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTM_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LSTM_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LayerNorm_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LayerNorm_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LeakyReLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LeakyReLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Linear_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Linear_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LocalResponseNorm_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LocalResponseNorm_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LogSigmoid_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LogSigmoid_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LogSoftmax_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_LogSoftmax_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MSELoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MSELoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MarginRankingLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MarginRankingLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MaxPool3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Mish_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Mish_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiLabelMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiLabelMarginLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiLabelSoftMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiLabelSoftMarginLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiMarginLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiheadAttention_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiheadAttention_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiheadAttention_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_MultiheadAttention_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_NLLLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_NLLLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_PReLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_PReLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_PoissonNLLLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_PoissonNLLLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RMSNorm_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RMSNorm_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNNCell_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNNCell_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_RNN_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReLU6_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReLU6_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReflectionPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ReplicationPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SELU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SELU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SiLU_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SiLU_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Sigmoid_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Sigmoid_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SmoothL1Loss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SmoothL1Loss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SoftMarginLoss_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_SoftMarginLoss_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmax_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmin_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softmin_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softplus_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softplus_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softshrink_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softshrink_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softsign_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Softsign_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Tanh_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Tanh_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Tanhshrink_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Tanhshrink_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Threshold_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Threshold_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerDecoderLayer_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerDecoderLayer_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoderLayer_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoderLayer_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoderLayer_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoderLayer_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_eval_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_eval_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_train_mode_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_TransformerEncoder_train_mode_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Transformer_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_Transformer_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad1d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad1d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad2d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad2d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad3d_swap_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_empty_nn_ZeroPad3d_swap_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveAvgPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_AvgPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCELoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCEWithLogitsLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCEWithLogitsLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCEWithLogitsLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BCEWithLogitsLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm1d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Bilinear_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CELU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CTCLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CircularPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConstantPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Conv3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ConvTranspose3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CosineEmbeddingLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_CrossEntropyLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ELU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Embedding_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GELU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRUCell_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GRU_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GaussianNLLLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_GroupNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardshrink_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardswish_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Hardtanh_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HingeEmbeddingLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_HuberLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm1d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_InstanceNorm3d_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_KLDivLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_L1Loss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LPPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTMCell_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LSTM_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LayerNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LeakyReLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Linear_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LocalResponseNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSigmoid_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_LogSoftmax_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MSELoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MarginRankingLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MaxPool3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Mish_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelMarginLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiLabelSoftMarginLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiMarginLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_MultiheadAttention_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_NLLLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PReLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_PoissonNLLLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RMSNorm_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNNCell_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_RNN_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU6_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReflectionPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ReplicationPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SELU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SiLU_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Sigmoid_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SmoothL1Loss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SoftMarginLoss_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SoftMarginLoss_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SoftMarginLoss_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_SoftMarginLoss_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmax_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softmin_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softplus_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softshrink_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Softsign_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanh_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanh_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanh_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanh_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Tanhshrink_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Threshold_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerDecoderLayer_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_eval_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_TransformerEncoder_train_mode_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_Transformer_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad1d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad2d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_False_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_False_set_grad_True_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_True_set_grad_False_cpu_float32, test/test_modules.py::TestModuleCPU::test_to_nn_ZeroPad3d_swap_True_set_grad_True_cpu_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_check_inplace_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_cpu_gpu_parity_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_device_ctx_init_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_errors_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_errors_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_factory_kwargs_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_forward_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_forward_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BatchNorm1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BatchNorm1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BatchNorm2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BatchNorm2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BatchNorm3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_BatchNorm3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GRU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GRU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_InstanceNorm1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_InstanceNorm1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_InstanceNorm2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_InstanceNorm2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_InstanceNorm3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_InstanceNorm3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LSTM_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LSTM_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiheadAttention_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_MultiheadAttention_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_RNN_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_RNN_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_TransformerEncoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_TransformerEncoder_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_TransformerEncoder_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_if_train_and_eval_modes_differ_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_memory_format_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_multiple_device_transfer_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_non_contiguous_tensors_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_repr_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_repr_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveAvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveAvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveAvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveAvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveAvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveAvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveMaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveMaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AdaptiveMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AvgPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AvgPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AvgPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AvgPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_AvgPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_AvgPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BCELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BCELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BCEWithLogitsLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BCEWithLogitsLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_BatchNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Bilinear_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Bilinear_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CELU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CELU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CTCLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CTCLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CircularPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CircularPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CircularPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CircularPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CircularPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CircularPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConstantPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConstantPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConstantPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConstantPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConstantPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConstantPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Conv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Conv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Conv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Conv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Conv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Conv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CosineEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CosineEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_CrossEntropyLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_CrossEntropyLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ELU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ELU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Embedding_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Embedding_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_FractionalMaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_FractionalMaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_FractionalMaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_FractionalMaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GELU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GELU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GLU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GLU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GRUCell_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GRUCell_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GRU_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GRU_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GRU_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GRU_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GaussianNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GaussianNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_GroupNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_GroupNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Hardshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Hardshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Hardswish_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Hardswish_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Hardtanh_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Hardtanh_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_HingeEmbeddingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_HingeEmbeddingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_HuberLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_HuberLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm1d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm1d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm1d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm1d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm2d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm2d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm2d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm2d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm3d_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm3d_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm3d_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_InstanceNorm3d_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_KLDivLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_KLDivLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_L1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_L1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LPPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LPPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LPPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LPPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LPPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LPPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LSTMCell_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LSTMCell_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LSTM_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LSTM_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LSTM_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LSTM_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LayerNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LayerNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConv1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConv1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConv2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConv2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConv3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConv3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConvTranspose1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConvTranspose1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConvTranspose2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConvTranspose2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConvTranspose3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LazyConvTranspose3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LeakyReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LeakyReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Linear_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Linear_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LocalResponseNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LocalResponseNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LogSigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LogSigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_LogSoftmax_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_LogSoftmax_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MSELoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MSELoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MarginRankingLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MarginRankingLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MaxPool1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MaxPool1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MaxPool2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MaxPool2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MaxPool3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MaxPool3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Mish_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Mish_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiLabelMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiLabelMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiLabelSoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiLabelSoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiheadAttention_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiheadAttention_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiheadAttention_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_MultiheadAttention_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_NLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_NLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_PReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_PReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_PoissonNLLLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_PoissonNLLLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_RMSNorm_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_RMSNorm_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_RNNCell_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_RNNCell_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_RNN_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_RNN_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_RNN_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_RNN_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReLU6_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReLU6_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReLU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReLU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReflectionPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReflectionPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReflectionPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReflectionPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReflectionPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReflectionPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReplicationPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReplicationPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReplicationPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReplicationPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReplicationPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ReplicationPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_SELU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_SELU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_SiLU_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_SiLU_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Sigmoid_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Sigmoid_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_SmoothL1Loss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_SmoothL1Loss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_SoftMarginLoss_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_SoftMarginLoss_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softmax2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softmax2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softmax_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softmax_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softmin_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softmin_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softplus_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softplus_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softsign_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Softsign_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Tanh_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Tanh_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Tanhshrink_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Tanhshrink_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Threshold_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Threshold_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerDecoderLayer_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerDecoderLayer_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoderLayer_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoderLayer_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoderLayer_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoderLayer_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoder_eval_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoder_eval_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoder_train_mode_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_TransformerEncoder_train_mode_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_Transformer_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_Transformer_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ZeroPad1d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ZeroPad1d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ZeroPad2d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ZeroPad2d_mps_float32, test/test_modules.py::TestModuleMPS::test_save_load_nn_ZeroPad3d_mps_float16, test/test_modules.py::TestModuleMPS::test_save_load_nn_ZeroPad3d_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveAvgPool1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveAvgPool1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveAvgPool2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveAvgPool2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveAvgPool3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveAvgPool3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveMaxPool1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveMaxPool1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveMaxPool2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveMaxPool2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveMaxPool3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AdaptiveMaxPool3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AvgPool1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AvgPool1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AvgPool2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AvgPool2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AvgPool3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_AvgPool3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BCELoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BCELoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BCEWithLogitsLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BCEWithLogitsLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm1d_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm1d_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm1d_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm1d_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm2d_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm2d_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm2d_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm2d_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm3d_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm3d_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm3d_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_BatchNorm3d_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Bilinear_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Bilinear_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CELU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CELU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CTCLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CTCLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CircularPad1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CircularPad1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CircularPad2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CircularPad2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CircularPad3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CircularPad3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConstantPad1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConstantPad1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConstantPad2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConstantPad2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConstantPad3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConstantPad3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Conv1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Conv1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Conv2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Conv2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Conv3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Conv3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConvTranspose1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConvTranspose1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConvTranspose2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConvTranspose2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConvTranspose3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ConvTranspose3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CosineEmbeddingLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CosineEmbeddingLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CrossEntropyLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_CrossEntropyLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ELU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ELU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Embedding_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Embedding_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_FractionalMaxPool2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_FractionalMaxPool2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_FractionalMaxPool3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_FractionalMaxPool3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GELU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GELU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GLU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GLU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GRUCell_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GRUCell_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GRU_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GRU_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GRU_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GRU_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GaussianNLLLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GaussianNLLLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GroupNorm_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_GroupNorm_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Hardshrink_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Hardshrink_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Hardswish_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Hardswish_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Hardtanh_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Hardtanh_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_HingeEmbeddingLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_HingeEmbeddingLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_HuberLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_HuberLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm1d_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm1d_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm1d_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm1d_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm2d_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm2d_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm2d_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm2d_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm3d_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm3d_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm3d_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_InstanceNorm3d_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_KLDivLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_KLDivLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_L1Loss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_L1Loss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LPPool1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LPPool1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LPPool2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LPPool2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LPPool3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LPPool3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LSTMCell_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LSTMCell_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LSTM_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LSTM_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LSTM_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LSTM_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LayerNorm_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LayerNorm_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LeakyReLU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LeakyReLU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Linear_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Linear_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LocalResponseNorm_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LocalResponseNorm_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LogSigmoid_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LogSigmoid_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LogSoftmax_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_LogSoftmax_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MSELoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MSELoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MarginRankingLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MarginRankingLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MaxPool1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MaxPool1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MaxPool2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MaxPool2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MaxPool3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MaxPool3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Mish_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Mish_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiLabelMarginLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiLabelMarginLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiLabelSoftMarginLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiLabelSoftMarginLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiMarginLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiMarginLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiheadAttention_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiheadAttention_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiheadAttention_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_MultiheadAttention_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_NLLLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_NLLLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_PReLU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_PReLU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_PoissonNLLLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_PoissonNLLLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RMSNorm_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RMSNorm_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RNNCell_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RNNCell_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RNN_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RNN_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RNN_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_RNN_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReLU6_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReLU6_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReLU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReLU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReflectionPad1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReflectionPad1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReflectionPad2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReflectionPad2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReflectionPad3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReflectionPad3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReplicationPad1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReplicationPad1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReplicationPad2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReplicationPad2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReplicationPad3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ReplicationPad3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SELU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SELU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SiLU_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SiLU_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Sigmoid_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Sigmoid_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SmoothL1Loss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SmoothL1Loss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SoftMarginLoss_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_SoftMarginLoss_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softmax2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softmax2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softmax_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softmax_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softmin_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softmin_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softplus_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softplus_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softshrink_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softshrink_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softsign_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Softsign_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Tanh_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Tanh_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Tanhshrink_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Tanhshrink_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Threshold_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Threshold_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerDecoderLayer_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerDecoderLayer_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoderLayer_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoderLayer_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoderLayer_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoderLayer_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoder_eval_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoder_eval_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoder_train_mode_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_TransformerEncoder_train_mode_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Transformer_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_Transformer_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ZeroPad1d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ZeroPad1d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ZeroPad2d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ZeroPad2d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ZeroPad3d_swap_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_empty_nn_ZeroPad3d_swap_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveAvgPool3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AdaptiveMaxPool3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_AvgPool3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCELoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCELoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCELoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCELoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCEWithLogitsLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCEWithLogitsLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCEWithLogitsLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BCEWithLogitsLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm1d_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm2d_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_BatchNorm3d_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Bilinear_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Bilinear_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Bilinear_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Bilinear_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CELU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CELU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CELU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CELU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CTCLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CTCLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CTCLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CTCLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CircularPad3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConstantPad3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Conv3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ConvTranspose3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CosineEmbeddingLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CosineEmbeddingLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CosineEmbeddingLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CosineEmbeddingLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CrossEntropyLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CrossEntropyLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CrossEntropyLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_CrossEntropyLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ELU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ELU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ELU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ELU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Embedding_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Embedding_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Embedding_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Embedding_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_FractionalMaxPool3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GELU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GELU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GELU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GELU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GLU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GLU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GLU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GLU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRUCell_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRUCell_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRUCell_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRUCell_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GRU_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GaussianNLLLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GaussianNLLLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GaussianNLLLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GaussianNLLLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GroupNorm_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GroupNorm_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GroupNorm_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_GroupNorm_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardshrink_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardshrink_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardshrink_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardshrink_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardswish_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardswish_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardswish_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardswish_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardtanh_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardtanh_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardtanh_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Hardtanh_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HingeEmbeddingLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HingeEmbeddingLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HingeEmbeddingLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HingeEmbeddingLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HuberLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HuberLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HuberLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_HuberLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm1d_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm2d_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_InstanceNorm3d_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_KLDivLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_KLDivLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_KLDivLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_KLDivLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_L1Loss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_L1Loss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_L1Loss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_L1Loss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LPPool3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTMCell_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTMCell_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTMCell_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTMCell_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LSTM_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LayerNorm_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LayerNorm_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LayerNorm_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LayerNorm_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LeakyReLU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LeakyReLU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LeakyReLU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LeakyReLU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Linear_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Linear_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Linear_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Linear_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LocalResponseNorm_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LocalResponseNorm_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LocalResponseNorm_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LocalResponseNorm_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSigmoid_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSigmoid_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSigmoid_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSigmoid_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSoftmax_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSoftmax_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSoftmax_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_LogSoftmax_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MSELoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MSELoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MSELoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MSELoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MarginRankingLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MarginRankingLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MarginRankingLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MarginRankingLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MaxPool3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Mish_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Mish_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Mish_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Mish_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelMarginLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelMarginLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelMarginLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelSoftMarginLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelSoftMarginLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelSoftMarginLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiLabelSoftMarginLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiMarginLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiMarginLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiMarginLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiMarginLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_MultiheadAttention_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_NLLLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_NLLLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_NLLLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_NLLLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PReLU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PReLU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PReLU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PReLU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PoissonNLLLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PoissonNLLLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PoissonNLLLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_PoissonNLLLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RMSNorm_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RMSNorm_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RMSNorm_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RMSNorm_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNNCell_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNNCell_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNNCell_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNNCell_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_RNN_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU6_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU6_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU6_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU6_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReLU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReflectionPad3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ReplicationPad3d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SELU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SELU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SELU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SELU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SiLU_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SiLU_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SiLU_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SiLU_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Sigmoid_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Sigmoid_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Sigmoid_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Sigmoid_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SmoothL1Loss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SmoothL1Loss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SmoothL1Loss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SmoothL1Loss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SoftMarginLoss_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SoftMarginLoss_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SoftMarginLoss_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_SoftMarginLoss_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmax_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmin_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmin_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmin_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softmin_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softplus_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softplus_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softplus_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softplus_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softshrink_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softshrink_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softshrink_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softshrink_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softsign_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softsign_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softsign_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Softsign_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanh_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanh_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanh_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanh_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanhshrink_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanhshrink_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanhshrink_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Tanhshrink_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Threshold_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Threshold_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Threshold_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Threshold_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerDecoderLayer_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerDecoderLayer_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerDecoderLayer_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerDecoderLayer_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoderLayer_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_eval_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_eval_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_eval_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_eval_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_train_mode_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_train_mode_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_train_mode_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_TransformerEncoder_train_mode_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Transformer_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Transformer_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Transformer_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_Transformer_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad1d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad1d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad1d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad1d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad2d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad2d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad2d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad2d_swap_True_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad3d_swap_False_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad3d_swap_False_set_grad_True_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad3d_swap_True_set_grad_False_mps_float32, test/test_modules.py::TestModuleMPS::test_to_nn_ZeroPad3d_swap_True_set_grad_True_mps_float32
2025-09-07T07:17:04.7132020Z 
2025-09-07T07:17:06.8174330Z Running optim/test_optim 1/1 ... [2025-09-07 07:17:06.817239]
2025-09-07T07:17:06.8175080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:17:06.8177190Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'optim/test_optim.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:17:06.817514]
2025-09-07T07:17:08.4839410Z 
2025-09-07T07:17:08.4840040Z optim/test_optim 1/1 was successful, full logs can be found in artifacts with path test/test-reports/optim.test_optim_1.1_c34314970bf4109b_.log
2025-09-07T07:17:08.4841380Z 
2025-09-07T07:17:10.4504410Z Running test_jit_llga_fuser 1/1 ... [2025-09-07 07:17:10.450238]
2025-09-07T07:17:10.4505150Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:17:10.4507220Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_jit_llga_fuser.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:17:10.450508]
2025-09-07T07:17:12.5691250Z 
2025-09-07T07:17:12.5693000Z test_jit_llga_fuser 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_llga_fuser_1.1_c18b6de9996bf5d3_.log
2025-09-07T07:17:12.5713630Z Running 107 items in this shard: test/test_jit_llga_fuser.py::TestEnableDisableLlgaFuser::test_context_manager, test/test_jit_llga_fuser.py::TestDynamoAOT::test_dynamo_aot_ts_onednn, test/test_jit_llga_fuser.py::TestModel::test_vision_alexnet_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_alexnet_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet121_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet121_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet161_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet161_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet169_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet169_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet201_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_densenet201_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b1_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b1_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b2_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b2_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b3_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b3_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b4_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b4_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b5_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b5_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b6_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b6_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b7_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_efficientnet_b7_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_googlenet_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_googlenet_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_mnasnet1_0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_mnasnet1_0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v2_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v2_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v3_large_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_mobilenet_v3_large_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_regnet_y_400mf_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_regnet_y_400mf_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_resnet50_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_resnet50_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext101_32x8d_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext101_32x8d_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext50_32x4d_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_resnext50_32x4d_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_shufflenet_v2_x1_0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_shufflenet_v2_x1_0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_squeezenet1_0_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_squeezenet1_0_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_vgg16_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_vgg16_float32, test/test_jit_llga_fuser.py::TestModel::test_vision_wide_resnet50_2_bfloat16, test/test_jit_llga_fuser.py::TestModel::test_vision_wide_resnet50_2_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_bn2d_eltwise_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_bn2d_eltwise_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_bn_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_bn_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_bn_relu_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_bn_relu_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_clamp_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_clamp_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_eltwise_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_eltwise_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_silu_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_silu_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_sum_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_conv2d_sum_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_ensure_tensor_is_rewrapped_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_ensure_tensor_is_rewrapped_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_linear_eltwise_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_linear_eltwise_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_rewrap_tensor_input_to_pytorch_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_rewrap_tensor_input_to_pytorch_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_wildcard_cpu_bfloat16, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_wildcard_cpu_float32, test/test_jit_llga_fuser.py::TestFusionPatternCPU::test_wildcard_unsupported_dtype_cpu_int32, test/test_jit_llga_fuser.py::TestOpCPU::test_add_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_add_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_add_scalar_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_add_scalar_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_addmm_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_addmm_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_avg_pool2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_avg_pool2d_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_bn2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_bn2d_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_cat_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_cat_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_conv2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_conv2d_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_eltwise_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_eltwise_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_identity_binary_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_identity_binary_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_layer_norm_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_layer_norm_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_linear_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_linear_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_max_pool2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_max_pool2d_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_mul_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_mul_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_softmax_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_softmax_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_typecheck_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_typecheck_cpu_float32, test/test_jit_llga_fuser.py::TestOpCPU::test_variable_kernel_avg_pool2d_cpu_bfloat16, test/test_jit_llga_fuser.py::TestOpCPU::test_variable_kernel_avg_pool2d_cpu_float32
2025-09-07T07:17:14.5302040Z 
2025-09-07T07:17:14.5302770Z Running nn/test_module_hooks 1/1 ... [2025-09-07 07:17:14.530075]
2025-09-07T07:17:14.5303520Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:17:14.5306030Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'nn/test_module_hooks.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:17:14.530332]
2025-09-07T07:17:16.5823690Z 
2025-09-07T07:17:16.5825220Z nn/test_module_hooks 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_module_hooks_1.1_cd315e68fa25e16d_.log
2025-09-07T07:17:16.5837750Z Running 53 items in this shard: test/nn/test_module_hooks.py::TestModuleHooks::test_always_called_forward_hooks, test/nn/test_module_hooks.py::TestModuleHooks::test_bw_hook_warning_for_non_tensor_or_tuple, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_pre_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_forward_pre_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_pre_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_full_backward_pre_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_kwarg_hooks, test/nn/test_module_hooks.py::TestModuleHooks::test_mixed_hooks_named_tuple_False, test/nn/test_module_hooks.py::TestModuleHooks::test_mixed_hooks_named_tuple_True, test/nn/test_module_hooks.py::TestModuleHooks::test_remove_kwarg_hooks, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_module_pre_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_module_pre_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_backward_compatibility_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_backward_compatibility_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_post_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_pre_hook_swap_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_load_state_dict_pre_hook_swap_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_no_extra_ref_to_module, test/nn/test_module_hooks.py::TestStateDictHooks::test_pickled_hook, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_post_hook_private_False, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_post_hook_private_True, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook_backward_compat, test/nn/test_module_hooks.py::TestStateDictHooks::test_register_state_dict_pre_hook_lazy_module, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_global_and_local_hooks_order, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_backward_global_hook_writeable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_forward_forward_hook_removable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_forward_preforward_hook_removable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_forward_preforward_hook_writeable, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hook_invalid_outputs, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hooks, test/nn/test_module_hooks.py::TestModuleGlobalHooks::test_module_global_hooks_with_kwargs, test/nn/test_module_hooks.py::TestModuleHookNN::test_backward_hooks_interaction, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_backward_size, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_backward_writeable, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_buffer_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_cpp, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_extra_input, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_forward_preforward_writable, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_inplace, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_invalid_outputs, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_last_arg_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_no_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_non_full_warning, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_parameter_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_requires_grad, test/nn/test_module_hooks.py::TestModuleHookNN::test_hook_submodule_registration, test/nn/test_module_hooks.py::TestModuleHookNN::test_hooks
2025-09-07T07:17:16.5849230Z 
2025-09-07T07:17:18.5383230Z Running test_view_ops 1/1 ... [2025-09-07 07:17:18.538121]
2025-09-07T07:17:18.5383980Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:17:18.5386040Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_view_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:17:18.538383]
2025-09-07T07:17:28.8286110Z 
2025-09-07T07:17:28.8286840Z test_view_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_view_ops_1.1_4b55070039304d55_.log
2025-09-07T07:17:28.8392450Z Running 587 items in this shard: test/test_view_ops.py::TestViewOpsCPU::test_T_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_advanced_indexing_assignment_cpu, test/test_view_ops.py::TestViewOpsCPU::test_advanced_indexing_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_as_strided_gradients_cpu, test/test_view_ops.py::TestViewOpsCPU::test_as_strided_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_as_strided_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_basic_indexing_ellipses_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_basic_indexing_newaxis_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_basic_indexing_slice_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_chunk_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_conj_imag_view_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_conj_imag_view_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_conj_self_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_conj_view_with_shared_memory_cpu, test/test_view_ops.py::TestViewOpsCPU::test_contiguous_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_contiguous_self_cpu, test/test_view_ops.py::TestViewOpsCPU::test_diagonal_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_expand_as_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_expand_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_flatten_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_flatten_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_imag_noncomplex_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_movedim_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_narrow_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_permute_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_real_imag_view_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_real_imag_view_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_reshape_as_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_reshape_nonview_cpu, test/test_view_ops.py::TestViewOpsCPU::test_reshape_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_select_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_bool, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_complex128, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_complex64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_float16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_float32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_float64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_int8, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex128_uint8, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_bool, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_complex128, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_complex64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_float16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_float32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_float64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int16, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int32, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int64, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_int8, test/test_view_ops.py::TestViewOpsCPU::test_set_real_imag_cpu_complex64_uint8, test/test_view_ops.py::TestViewOpsCPU::test_split_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_squeeze_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_squeeze_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_t_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_t_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_transpose_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_transpose_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unbind_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unbind_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unfold_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unsqueeze_inplace_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_unsqueeze_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_as_complex_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_as_real_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_as_real_cpu_complex32, test/test_view_ops.py::TestViewOpsCPU::test_view_as_real_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_as_view_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_copy_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_copy_out_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_copy_output_contiguous_cpu, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_new_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_dtype_upsize_errors_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_dsplit_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_hsplit_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_split_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_bfloat16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_bool, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_complex128, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_complex64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_float16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_float32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_float64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int16, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int32, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int64, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_int8, test/test_view_ops.py::TestViewOpsCPU::test_view_tensor_vsplit_cpu_uint8, test/test_view_ops.py::TestViewOpsCPU::test_view_view_cpu, test/test_view_ops.py::TestViewOpsMPS::test_T_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_advanced_indexing_assignment_mps, test/test_view_ops.py::TestViewOpsMPS::test_advanced_indexing_nonview_mps, test/test_view_ops.py::TestViewOpsMPS::test_as_strided_gradients_mps, test/test_view_ops.py::TestViewOpsMPS::test_as_strided_inplace_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_as_strided_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_basic_indexing_ellipses_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_basic_indexing_newaxis_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_basic_indexing_slice_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_chunk_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_conj_imag_view_mps_complex128, test/test_view_ops.py::TestViewOpsMPS::test_conj_imag_view_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_float64, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_conj_self_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_conj_view_with_shared_memory_mps, test/test_view_ops.py::TestViewOpsMPS::test_contiguous_nonview_mps, test/test_view_ops.py::TestViewOpsMPS::test_contiguous_self_mps, test/test_view_ops.py::TestViewOpsMPS::test_diagonal_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_expand_as_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_expand_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_flatten_nonview_mps, test/test_view_ops.py::TestViewOpsMPS::test_flatten_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_imag_noncomplex_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_movedim_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_narrow_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_permute_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_real_imag_view_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_reshape_as_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_reshape_nonview_mps, test/test_view_ops.py::TestViewOpsMPS::test_reshape_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_select_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_bool, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_complex32, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_complex64, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_float16, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_float32, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_int16, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_int32, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_int64, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_int8, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex32_uint8, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_bool, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_complex32, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_complex64, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_float16, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_float32, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_int16, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_int32, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_int64, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_int8, test/test_view_ops.py::TestViewOpsMPS::test_set_real_imag_mps_complex64_uint8, test/test_view_ops.py::TestViewOpsMPS::test_split_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_squeeze_inplace_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_squeeze_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_t_inplace_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_t_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_transpose_inplace_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_transpose_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_unbind_mps, test/test_view_ops.py::TestViewOpsMPS::test_unbind_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_unfold_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_unsqueeze_inplace_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_unsqueeze_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_view_as_complex_mps, test/test_view_ops.py::TestViewOpsMPS::test_view_as_real_mps_complex32, test/test_view_ops.py::TestViewOpsMPS::test_view_as_real_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_view_as_view_mps, test/test_view_ops.py::TestViewOpsMPS::test_view_copy_mps, test/test_view_ops.py::TestViewOpsMPS::test_view_copy_out_mps, test/test_view_ops.py::TestViewOpsMPS::test_view_copy_output_contiguous_mps, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_new_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_view_dtype_upsize_errors_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_dsplit_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_hsplit_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_split_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_bfloat16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_bool, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_complex64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_float16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_float32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_int16, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_int32, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_int64, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_int8, test/test_view_ops.py::TestViewOpsMPS::test_view_tensor_vsplit_mps_uint8, test/test_view_ops.py::TestViewOpsMPS::test_view_view_mps, test/test_view_ops.py::TestViewOpsLAZY::test_T_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_advanced_indexing_assignment_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_advanced_indexing_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_as_strided_gradients_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_as_strided_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_as_strided_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_basic_indexing_ellipses_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_basic_indexing_newaxis_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_basic_indexing_slice_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_chunk_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_conj_imag_view_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_conj_imag_view_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_conj_self_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_conj_view_with_shared_memory_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_contiguous_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_contiguous_self_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_diagonal_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_expand_as_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_expand_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_flatten_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_flatten_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_imag_noncomplex_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_movedim_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_narrow_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_permute_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_real_imag_view_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_real_imag_view_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_reshape_as_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_reshape_nonview_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_reshape_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_select_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_bool, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_float16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_float32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_float64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_int8, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex128_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_bool, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_float16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_float32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_float64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int16, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int32, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int64, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_int8, test/test_view_ops.py::TestViewOpsLAZY::test_set_real_imag_lazy_complex64_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_split_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_squeeze_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_squeeze_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_t_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_t_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_transpose_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_transpose_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unbind_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unbind_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unfold_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unsqueeze_inplace_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_unsqueeze_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_complex_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_real_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_real_lazy_complex32, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_real_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_as_view_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_copy_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_copy_out_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_copy_output_contiguous_lazy, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_new_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_dtype_upsize_errors_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_dsplit_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_hsplit_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_split_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_bfloat16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_bool, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_complex128, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_complex64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_float16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_float32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_float64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int16, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int32, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int64, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_int8, test/test_view_ops.py::TestViewOpsLAZY::test_view_tensor_vsplit_lazy_uint8, test/test_view_ops.py::TestViewOpsLAZY::test_view_view_lazy, test/test_view_ops.py::TestOldViewOpsCPU::test_T_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_as_strided_overflow_storage_offset_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_atleast_gradient_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_big_transpose_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_shapes_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_tensors_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_broadcast_to_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_chunk_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_conj_neg_view_numpy_error_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_contiguous_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_crow_col_indices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_empty_reshape_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_expand_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_flatten_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_memory_format_resize__cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_memory_format_resize_as_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_narrow_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_narrow_tensor_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_python_types_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_ravel_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_bfloat16, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_reshape_view_semantics_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_all_dtypes_and_devices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_as_all_dtypes_and_devices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_as_preserves_strides_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_resize_overflow_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_split_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_t_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_errors_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_indices_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_tensor_split_sections_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_invalid_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_invalid_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_invalid_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_vs_numpy_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_vs_numpy_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transpose_vs_numpy_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_bfloat16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_bfloat16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_bool, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_complex128, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_complex64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_float16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_float32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_float64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_int16, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_int32, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_int64, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_int8, test/test_view_ops.py::TestOldViewOpsCPU::test_transposes_errors_cpu_uint8, test/test_view_ops.py::TestOldViewOpsCPU::test_unsqueeze_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_view_all_dtypes_and_devices_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_view_cpu, test/test_view_ops.py::TestOldViewOpsCPU::test_view_empty_cpu
2025-09-07T07:17:28.8493640Z 
2025-09-07T07:17:30.7757550Z Running test_xnnpack_integration 1/1 ... [2025-09-07 07:17:30.775494]
2025-09-07T07:17:30.7758340Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:17:30.7760670Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_xnnpack_integration.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:17:30.775759]
2025-09-07T07:17:35.7890430Z 
2025-09-07T07:17:35.7891290Z test_xnnpack_integration 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_xnnpack_integration_1.1_12ec598aacded139_.log
2025-09-07T07:17:35.7895020Z Running 12 items in this shard: test/test_xnnpack_integration.py::TestXNNPACKOps::test_conv2d, test/test_xnnpack_integration.py::TestXNNPACKOps::test_conv2d_transpose, test/test_xnnpack_integration.py::TestXNNPACKOps::test_linear, test/test_xnnpack_integration.py::TestXNNPACKOps::test_linear_1d_input, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_combined_model, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_conv2d, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_conv2d_transpose, test/test_xnnpack_integration.py::TestXNNPACKSerDes::test_linear, test/test_xnnpack_integration.py::TestXNNPACKRewritePass::test_decomposed_linear, test/test_xnnpack_integration.py::TestXNNPACKRewritePass::test_linear, test/test_xnnpack_integration.py::TestXNNPACKConv1dTransformPass::test_conv1d_basic, test/test_xnnpack_integration.py::TestXNNPACKConv1dTransformPass::test_conv1d_with_relu_fc
2025-09-07T07:17:35.7897400Z 
2025-09-07T07:17:37.7278950Z Running test_mkldnn 1/1 ... [2025-09-07 07:17:37.727699]
2025-09-07T07:17:37.7280370Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:17:37.7282460Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_mkldnn.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:17:37.727952]
2025-09-07T07:17:39.7608890Z 
2025-09-07T07:17:39.7609690Z test_mkldnn 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_1.1_e12556e98221a2ad_.log
2025-09-07T07:17:39.7624790Z Running 89 items in this shard: test/test_mkldnn.py::TestMkldnnCPU::test_0_dimension_tensor_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_adaptive_avg_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_adaptive_avg_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_add_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_autograd_from_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_autograd_to_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool2d_stride_none_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_avg_pool3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_batch_norm_3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_clone_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv1d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv1d_functional_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv2d_legacy_jit_model_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_1d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_1d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_2d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_2d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_3d_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_deconv_3d_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_fp32_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_nhwc_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose1d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_fp32_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_conv_transpose_nhwc_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_conversion_byte_char_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_conversion_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_copy_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_default_use_parent_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_detach_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_empty_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_gelu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_gelu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_generic_precision_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_is_mkldnn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_is_mkldnn_jit_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_legacy_new_failure_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_backward_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_linear_lowp_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_linear_lowp_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_linear_non_contiguous_weight_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_lstm_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_matmul_lower_precision_cpu_bfloat16, test/test_mkldnn.py::TestMkldnnCPU::test_matmul_lower_precision_cpu_float16, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool2d_stride_none_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool3d_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool3d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_max_pool_unsupported_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_conv_shapecheck_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_error_on_zero_stride_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_scaled_mm_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mkldnn_setflags_nowarn_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mlkdnn_get_set_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_mul_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_prelu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_prelu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu__cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_relu_inplace_bf16_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_repr_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_backward_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_blocked_format_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_reshape_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_resnet18_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_resnext50_32x4d_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_set_data_tensorimpl_type_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_sigmoid_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_softmax_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_tanh_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_transpose_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_transpose_invalid_dime_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_unsupported_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_view_cpu, test/test_mkldnn.py::TestMkldnnCPU::test_zero__cpu
2025-09-07T07:17:39.7638570Z 
2025-09-07T07:17:41.7022520Z Running torch_np/numpy_tests/core/test_dlpack 1/1 ... [2025-09-07 07:17:41.701993]
2025-09-07T07:17:41.7023400Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:17:41.7025650Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/core/test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:17:41.702249]
2025-09-07T07:17:43.7581100Z 
2025-09-07T07:17:43.7581720Z torch_np/numpy_tests/core/test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_dlpack_1.1_61348abdafe7277d_.log
2025-09-07T07:17:43.7594940Z Running 53 items in this shard: test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dlpack_destructor_exception, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dlpack_device, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype1, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype2, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype3, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype4, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype5, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype6, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype7, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype8, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dtype_passthrough_dtype9, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dunder_dlpack_refcount, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_dunder_dlpack_stream, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_from_dlpack_refcount, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_from_torch, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_1, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_10, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_11, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_12, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_13, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_14, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_15, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_16, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_17, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_18, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_19, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_2, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_20, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_21, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_22, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_23, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_24, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_25, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_26, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_27, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_28, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_29, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_3, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_30, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_31, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_32, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_4, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_5, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_6, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_7, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_8, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_higher_dims_ndim_9, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_ndim0, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_non_contiguous, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_readonly, test/torch_np/numpy_tests/core/test_dlpack.py::TestDLPack::test_to_torch
2025-09-07T07:17:43.7606180Z 
2025-09-07T07:17:45.7013990Z Running test_linalg 1/1 ... [2025-09-07 07:17:45.701207]
2025-09-07T07:17:45.7014720Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:17:45.7016740Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_linalg.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:17:45.701461]
2025-09-07T07:20:21.7423910Z 
2025-09-07T07:20:21.7424980Z test_decomp 4/5 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_4.5_02adbe711b8d8379_.log
2025-09-07T07:20:21.7764270Z Running 1751 items in this shard: test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rand___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___ror___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__batch_norm_with_update_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive__chunk_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argsort_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atanh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_atanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_atanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_baddbmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_baddbmm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_baddbmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_baddbmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bernoulli_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bernoulli_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bfloat16_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_left_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_left_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_not_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_right_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_right_shift_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_xor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_block_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_block_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bool_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bool_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bool_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_to_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_to_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_byte_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_byte_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_byte_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cfloat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_char_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cholesky_inverse_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_chunk_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_max_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clamp_min_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_clone_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_column_stack_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_column_stack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_column_stack_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_combinations_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_complex_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_physical_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_conj_physical_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_constant_pad_nd_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_contiguous_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_corrcoef_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_corrcoef_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_corrcoef_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cos_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cos_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cosh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_count_nonzero_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_count_nonzero_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumulative_trapezoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_embed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_dist_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_floor_rounding_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_no_rounding_mode_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_div_trunc_rounding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_double_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_dsplit_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_dstack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_einsum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_permuted_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_empty_strided_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eq_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_equal_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_erf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfc_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_hfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ifftshift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_ihfftn_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_geqrf_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_power_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_matrix_rank_hermitian_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_multi_dot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_norm_subgradients_at_zero_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_hermitian_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_pinv_singular_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_solve_triangular_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_svd_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorinv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_tensorsolve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vander_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linalg_vector_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_linspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_log10_cpu_bfloat16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_long_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_lt_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_solve_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_solve_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_lu_unpack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mH_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mT_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_amin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_argmin_cpu_int8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_logsumexp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_median_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_prod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_select_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_std_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_sum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_masked_var_cpu_complex64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_no_dim_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_max_reduction_with_dim_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_maximum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tile_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_to_sparse_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_topk_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_torch_ops_aten__safe_softmax_default_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trace_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_transpose_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapezoid_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_trapz_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_triangular_solve_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_tril_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_triu_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_true_divide_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_trunc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unbind_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unflatten_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unfold_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_uniform_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_consecutive_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_unique_cpu_uint64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsafe_split_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_unsqueeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_mean_unbiased_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_var_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vdot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_complex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_real_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_as_real_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__upsample_bilinear2d_aa_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_acos_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_and_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_ceil_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_deg2rad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_diagonal_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_dot_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_expand_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logaddexp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_logaddexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_binary_cross_entropy_with_logits_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool2d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_roll_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_rsub_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_sgn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_xlog1py_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_take_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_transpose_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_unfold_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_dist_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_div_floor_rounding_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_quick_linspace_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_linspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log10_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log1p_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_log2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_log_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_log_normal_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_logaddexp_cpu_complex64, 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test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_native_batch_norm_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_polar_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_remainder_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_0_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_rsqrt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sinh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_slice_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_entr_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_erfcx_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_i1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_log_ndtr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_log_ndtr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_special_zeta_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_take_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_triu_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_var_unbiased_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_view_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_train_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_eval_mode_cpu_float64, test/test_decomp.py::DecompOneOffTestsCPU::test_exponential_non_inf_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_sdpa_nn_functional_scaled_dot_product_attention_cpu_float16, test/test_decomp.py::DecompOneOffTestsCPU::test_threshold_backward_dtype_cpu
2025-09-07T07:20:21.8083830Z 
2025-09-07T07:20:24.1821210Z Running test_mkldnn_fusion 1/1 ... [2025-09-07 07:20:24.181941]
2025-09-07T07:20:24.1821960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:20:24.1825550Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_mkldnn_fusion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:20:24.182296]
2025-09-07T07:20:26.4754970Z 
2025-09-07T07:20:26.4755480Z test_mkldnn_fusion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_mkldnn_fusion_1.1_6514dca666eaa19d_.log
2025-09-07T07:20:26.4759400Z Running 8 items in this shard: test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_binary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_transpose_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_nnc, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_conv_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_linear_binary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_linear_unary_fusion_ops, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_single_conv, test/test_mkldnn_fusion.py::TestMkldnnFusion::test_unsupported_conv
2025-09-07T07:20:26.4761340Z 
2025-09-07T07:20:28.7586470Z Running test_sparse_csr 1/1 ... [2025-09-07 07:20:28.758435]
2025-09-07T07:20:28.7587230Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:20:28.7589290Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_sparse_csr.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:20:28.758709]
2025-09-07T07:20:33.2482090Z 
2025-09-07T07:20:33.2482590Z test_linalg 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_linalg_1.1_0761ac8b55ee8ad5_.log
2025-09-07T07:20:33.2747870Z Running 1241 items in this shard: test/test_linalg.py::TestLinalgCPU::test_1_sized_with_0_strided_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_1_sized_with_0_strided_cpu_float64, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_1_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_matmul_4bit_m_32_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_256_n_128_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_256_n_32_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_256_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_256_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_64_n_128_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_64_n_32_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__dyn_quant_pack_4bit_weight_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_32_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_64_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_64_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_64_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test__int4_mm_m_64_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_large_shape_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_48_compile_False_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_48_compile_False_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_48_compile_True_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_48_compile_True_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_64_compile_False_slice_False_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_64_compile_False_slice_True_cpu, test/test_linalg.py::TestLinalgCPU::test__int8_mm_m_32_k_32_n_64_compile_True_slice_False_cpu, 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test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_backward_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_broadcasting_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_batched_many_batches_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_out_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_out_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_out_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cholesky_solve_out_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_ck_blas_library_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_1_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_1_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_1_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_1_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_32_k_128_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_32_k_128_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_32_k_64_n_11008_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_dyn_quant_matmul_4bit_m_32_k_64_n_4096_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_32_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_32_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_32_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_32_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_64_k_32_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_64_k_32_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_64_k_64_n_48_cpu, test/test_linalg.py::TestLinalgCPU::test_compile_int4_mm_m_64_k_64_n_64_cpu, test/test_linalg.py::TestLinalgCPU::test_cond_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cond_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cond_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cond_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_cond_errors_and_warnings_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_cond_errors_and_warnings_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cond_errors_and_warnings_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cond_errors_and_warnings_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_bfloat16, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_float64, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_int16, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_int32, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_int64, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_int8, test/test_linalg.py::TestLinalgCPU::test_corner_cases_of_cublasltmatmul_cpu_uint8, test/test_linalg.py::TestLinalgCPU::test_cross_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_cross_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_cross_error_cpu, 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test/test_linalg.py::TestLinalgCPU::test_vector_norm_dim_tuple_arg_cpu, test/test_linalg.py::TestLinalgCPU::test_vector_norm_extreme_values_cpu, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_complex128, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_complex64, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_float32, test/test_linalg.py::TestLinalgCPU::test_vector_norm_reduce_over_1D_vector_cpu_float64
2025-09-07T07:20:33.2997610Z 
2025-09-07T07:20:35.2195890Z Running test_scatter_gather_ops 1/1 ... [2025-09-07 07:20:35.219357]
2025-09-07T07:20:35.2196670Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:20:35.2198780Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_scatter_gather_ops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:20:35.219611]
2025-09-07T07:20:40.8845190Z 
2025-09-07T07:20:40.8845730Z test_scatter_gather_ops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_scatter_gather_ops_1.1_ab357eae355e2e7a_.log
2025-09-07T07:20:40.8867500Z Running 84 items in this shard: test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_backward_with_empty_index_tensor_sparse_grad_False_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_backward_with_empty_index_tensor_sparse_grad_False_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_backward_with_empty_index_tensor_sparse_grad_True_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_backward_with_empty_index_tensor_sparse_grad_True_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_bool_cpu_bool, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_expanded_index_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_expanded_index_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_expanded_index_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_large_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_gather_large_cpu_int8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__reductions_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__reductions_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__reductions_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__scalar_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__scalar_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter__scalar_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add__cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add__cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add__cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add_broadcasted_index_deterministic_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_add_mult_index_base_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_expanded_index_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_expanded_index_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_expanded_index_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_expanded_index_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_bool, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_int16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_int32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_int64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_int8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amax_cpu_uint8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_bool, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_int16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_int32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_int64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_int8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_amin_cpu_uint8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_complex128, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_int16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_int32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_int64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_int8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_mean_cpu_uint8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_bool, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_complex128, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_int16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_int32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_int64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_int8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_prod_cpu_uint8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_bfloat16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_complex128, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_complex64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_float16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_float32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_float64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_int16, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_int32, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_int64, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_int8, test/test_scatter_gather_ops.py::TestScatterGatherCPU::test_scatter_reduce_sum_cpu_uint8
2025-09-07T07:20:40.8886830Z 
2025-09-07T07:20:41.2490450Z GITHUB_RUN_ID, GITHUB_RUN_ATTEMPT, or ARTIFACTS_FILE_SUFFIX not set, not uploading
2025-09-07T07:20:41.2490900Z Uploading artifacts took 0.00 seconds
2025-09-07T07:20:42.8586210Z Running dynamo/test_python_autograd 1/1 ... [2025-09-07 07:20:42.858433]
2025-09-07T07:20:42.8587710Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:20:42.8589880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'dynamo/test_python_autograd.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:20:42.858688]
2025-09-07T07:20:45.1500010Z 
2025-09-07T07:20:45.1500720Z dynamo/test_python_autograd 1/1 was successful, full logs can be found in artifacts with path test/test-reports/dynamo.test_python_autograd_1.1_6c700b4fdcd6b83f_.log
2025-09-07T07:20:45.1505220Z Running 5 items in this shard: test/dynamo/test_python_autograd.py::TestPythonAutograd::test_backwards1, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_backwards2, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_forwards1, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_forwards2, test/dynamo/test_python_autograd.py::TestPythonAutograd::test_split
2025-09-07T07:20:45.1506330Z 
2025-09-07T07:20:47.1212310Z Running torch_np/numpy_tests/core/test_scalar_methods 1/1 ... [2025-09-07 07:20:47.121029]
2025-09-07T07:20:47.1213240Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:20:47.1215880Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_methods.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:20:47.121285]
2025-09-07T07:20:48.9886370Z 
2025-09-07T07:20:48.9887270Z torch_np/numpy_tests/core/test_scalar_methods 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_methods_1.1_2ae9b2e11a86a117_.log
2025-09-07T07:20:48.9907780Z Running 77 items in this shard: test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_against_known_values, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_errors_ftype0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_errors_ftype1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_errors_ftype2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_roundtrip_ftype0_frac_vals0_exp_vals0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_roundtrip_ftype1_frac_vals1_exp_vals1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_roundtrip_ftype2_frac_vals2_exp_vals2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_simple_fractions_ftype0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_simple_fractions_ftype1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_simple_fractions_ftype2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype0_f_-0_875_ratio1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype0_f_0_0_ratio2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype0_f_0_875_ratio0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype0_f_11_5_ratio3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype1_f_-0_875_ratio1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype1_f_0_0_ratio2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype1_f_0_875_ratio0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype1_f_11_5_ratio3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype2_f_-0_875_ratio1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype2_f_0_0_ratio2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype2_f_0_875_ratio0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestAsIntegerRatio::test_small_ftype2_f_11_5_ratio3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_false_code_b, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_false_code_h, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_false_code_i, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_false_code_l, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_inf_code_d, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_inf_code_e, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_inf_code_f, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_nan_code_d, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_nan_code_e, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_special_str_value_nan_code_f, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_B, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_b, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_d, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_e, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_f, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_h, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_i, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestIsInteger::test_true_code_l, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls4, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_cls5, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating_subscript_tuple_arg_len_0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating_subscript_tuple_arg_len_1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating_subscript_tuple_arg_len_2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_complexfloating_subscript_tuple_arg_len_3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_abc_non_numeric_cls0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_?, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_B, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_D, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_F, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_b, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_d, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_e, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_f, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_h, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_i, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_concrete_code_l, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_scalar, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_tuple_arg_len_0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_tuple_arg_len_1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_tuple_arg_len_2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestClassGetItem::test_subscript_tuple_arg_len_3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_bit_count, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype0, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype1, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype2, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype3, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype4, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype5, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype6, test/torch_np/numpy_tests/core/test_scalar_methods.py::TestBitCount::test_small_itype7
2025-09-07T07:20:48.9926940Z 
2025-09-07T07:20:50.9575550Z Running torch_np/numpy_tests/core/test_numerictypes 1/1 ... [2025-09-07 07:20:50.957359]
2025-09-07T07:20:50.9576950Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:20:50.9579400Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/core/test_numerictypes.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:20:50.957612]
2025-09-07T07:20:52.9551080Z 
2025-09-07T07:20:52.9552030Z torch_np/numpy_tests/core/test_numerictypes 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_numerictypes_1.1_adf87ea09647f9af_.log
2025-09-07T07:20:52.9562450Z Running 34 items in this shard: test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_loses1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_loses2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestCommonType::test_scalar_wins3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_both_abstract, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_nondtype_nonscalartype, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_same, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_sibling_class, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_subclass, test/torch_np/numpy_tests/core/test_numerictypes.py::TestIsSubDType::test_subclass_backwards, test/torch_np/numpy_tests/core/test_numerictypes.py::TestBitName::test_abstract, test/torch_np/numpy_tests/core/test_numerictypes.py::TestDocStrings::test_platform_dependent_aliases, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t0, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t4, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t5, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t6, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t7, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t8, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_undersood_by_dtype_t9, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_are_unique, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t0, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t1, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t2, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t3, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t4, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t5, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t6, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t7, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t8, test/torch_np/numpy_tests/core/test_numerictypes.py::TestScalarTypeNames::test_names_reflect_attributes_t9
2025-09-07T07:20:52.9571510Z 
2025-09-07T07:20:54.9397850Z Running profiler/test_memory_profiler 1/1 ... [2025-09-07 07:20:54.939573]
2025-09-07T07:20:54.9398690Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:20:54.9400850Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'profiler/test_memory_profiler.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:20:54.939859]
2025-09-07T07:20:55.6759410Z 
2025-09-07T07:20:55.6759910Z test_decomp 5/5 was successful, full logs can be found in artifacts with path test/test-reports/test_decomp_5.5_4709ecd8b54015b2_.log
2025-09-07T07:20:55.7098620Z Running 1780 items in this shard: test/test_decomp.py::TestDecompCPU::test_arange_graph_cpu, test/test_decomp.py::TestDecompCPU::test_batch_norm_unflatten_weight_bias_cpu, test/test_decomp.py::TestDecompCPU::test_broadcasting_index_copy_cpu, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_H_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_T_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___getitem___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive___radd___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rdiv___cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmatmul___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmod___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rmul___cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rpow___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive___rsub___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive___rxor___cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_lengths_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_lengths_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__segment_reduce_offsets_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__softmax_backward_data_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_abs_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_acos_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_acosh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addbmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcdiv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addcmul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmm_decomposed_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_addmv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_addr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_alias_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_all_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_allclose_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_aminmax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_angle_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_any_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_arange_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_argmin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_argwhere_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_partial_views_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_as_strided_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_asin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_asinh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_1d_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_atleast_3d_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bernoulli_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bfloat16_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bfloat16_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_and_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_left_shift_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_left_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_or_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bitwise_or_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_block_diag_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_block_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_bmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bool_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bool_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_to_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_broadcast_to_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_bucketize_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_byte_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cartesian_prod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cauchy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cauchy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cdouble_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ceil_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cfloat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cfloat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_chalf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_char_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_char_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_char_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_cholesky_inverse_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cholesky_solve_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cov_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cross_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummax_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cummin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumprod_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_cumsum_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_deg2rad_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diag_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagflat_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_diagonal_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_erfinv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_exp_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_as_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_expand_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_expm1_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e4m3fn, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e5m2, test/test_decomp.py::TestDecompCPU::test_comprehensive_eye_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fft_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_fftn_cpu_int64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_irfft2_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fft_rfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flatten_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flip_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fliplr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_flipud_cpu_complex128, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_floor_divide_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmax_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmin_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_fmod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frac_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_frexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_uint16, test/test_decomp.py::TestDecompCPU::test_comprehensive_full_like_cpu_uint32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gather_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_gcd_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_ge_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_geometric_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_geqrf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_geqrf_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_gradient_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_grid_sampler_2d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_grid_sampler_3d_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_gt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_half_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hash_tensor_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_heaviside_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_hsplit_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_i0_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_igammac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_imag_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_fill_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_put_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amax_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amin_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_index_reduce_amin_cpu_uint8, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isfinite_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isinf_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isnan_cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_isposinf_cpu_float64, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mean_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_median_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_list_of_tensors_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_meshgrid_variadic_tensors_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_mm_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mode_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_msort_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mul_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_multinomial_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_mv_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nanmedian_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_nansum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_narrow_copy_cpu_bfloat16, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_neg_cpu_int32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_full_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_new_ones_cpu_float32, 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test/test_decomp.py::TestDecompCPU::test_comprehensive_view_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vsplit_cpu_float16, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_vstack_cpu_int16, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_int8, test/test_decomp.py::TestDecompCPU::test_comprehensive_where_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_xlogy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_float64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zero__cpu_int64, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_bool, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_cpu_float32, test/test_decomp.py::TestDecompCPU::test_comprehensive_zeros_like_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick__batch_norm_with_update_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick__chunk_cat_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__softmax_backward_data_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick__unsafe_masked_index_put_accumulate_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_abs_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_acosh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addcdiv_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addcmul_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_addmm_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_addmm_decomposed_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_addmv_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_addr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_alias_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_all_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_amin_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_aminmax_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_any_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_arange_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_as_strided_scatter_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_asin_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_asinh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_atan2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_atan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_atanh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_baddbmm_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_bernoulli_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_left_shift_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_not_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_or_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_right_shift_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_bitwise_xor_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_block_diag_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_bucketize_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_cat_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cauchy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cauchy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_clamp_max_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_clamp_min_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_clone_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_complex_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_conj_physical_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_constant_pad_nd_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_copysign_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_core_backward__unsafe_masked_index_put_accumulate_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_baddbmm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_frac_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nan_to_num_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nansum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_max_unpool2d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_nn_functional_unfold_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_rot90_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_sinc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_special_log_ndtr_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_split_with_sizes_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_squeeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_std_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_core_backward_triu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_cos_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cosh_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_count_nonzero_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_cumprod_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_cumsum_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_deg2rad_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diag_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diag_embed_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_diagonal_scatter_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_digamma_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_div_no_rounding_mode_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_div_trunc_rounding_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_dot_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_empty_like_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_empty_strided_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_eq_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erf_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_erfc_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_erfinv_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_exp2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_exp_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_expand_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_expand_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_expm1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_float8_e5m2fnuz, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_eye_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_fftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft2_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfft_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_fft_hfftn_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft2_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_ifftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfft_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fft_ihfftn_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfft_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_irfftn_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft2_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfft_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fft_rfftn_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_flip_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_floor_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_floor_divide_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_fmax_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_fmin_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_fmod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_frac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_frexp_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_gcd_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_geometric_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_grid_sampler_2d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_gt_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_heaviside_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_hypot_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_i0_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_igamma_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_igammac_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_add_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_index_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_index_fill_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_index_select_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isin_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_isinf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_isnan_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isneginf_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_isposinf_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lcm_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_le_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_lgamma_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_linalg_cross_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_linalg_diagonal_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_logspace_tensor_overload_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_logsumexp_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_lt_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_masked_fill_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_maximum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_list_of_tensors_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_meshgrid_variadic_tensors_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_minimum_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mul_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_mv_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nan_to_num_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nansum_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_narrow_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_native_layer_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ne_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_neg_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_empty_strided_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_new_full_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_ones_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_new_zeros_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_nextafter_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_binary_cross_entropy_with_logits_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_embedding_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_glu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardsigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_hardtanh_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_leaky_relu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool2d_grad_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_max_unpool3d_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_mse_loss_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_pad_constant_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu6_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_relu_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_silu_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_softshrink_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_nn_functional_unfold_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_norm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_norm_inf_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_norm_nuc_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_normal_in_place_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_normal_number_mean_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_ones_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_ones_like_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_permute_copy_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_permute_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_polar_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_pow_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_prod_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_rad2deg_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_randn_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_reciprocal_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_renorm_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_repeat_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_roll_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_rot90_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_round_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_3_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_round_decimals_neg_3_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_rsub_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_select_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_select_scatter_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_sgn_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sigmoid_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sign_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_signbit_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sin_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_sinc_cpu_float16, 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test/test_decomp.py::TestDecompCPU::test_quick_special_i0e_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_i1e_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_log_ndtr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtr_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_special_ndtri_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_special_xlog1py_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_list_args_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_split_with_sizes_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sqrt_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_squeeze_multiple_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_stack_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_std_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_std_mean_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_std_unbiased_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_sub_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_sum_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_t_copy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_t_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_tan_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_tanh_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_trace_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_copy_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_transpose_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_tril_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_tril_indices_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_triu_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_trunc_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unbind_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unbind_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unfold_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_uniform_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_bfloat16, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_complex32, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsafe_split_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_copy_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_int8, test/test_decomp.py::TestDecompCPU::test_quick_unsqueeze_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_cpu_float16, test/test_decomp.py::TestDecompCPU::test_quick_var_mean_unbiased_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_vdot_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_bool, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_view_cpu_int32, test/test_decomp.py::TestDecompCPU::test_quick_where_cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_xlogy_cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_float32, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zero__cpu_uint8, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_float64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int16, test/test_decomp.py::TestDecompCPU::test_quick_zeros_cpu_int64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex128, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_complex64, test/test_decomp.py::TestDecompCPU::test_quick_zeros_like_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_LSTM_train_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_eval_mode_cpu_float32, test/test_decomp.py::TestDecompCPU::test_rnn_decomp_module_nn_RNN_train_mode_cpu_float64, test/test_decomp.py::DecompOneOffTestsCPU::test_contiguous_log_softmax_cpu, test/test_decomp.py::DecompOneOffTestsCPU::test_rms_norm_decomp_cuda_cpu, test/test_decomp.py::HasDecompTest::test_aten_core_operators, test/test_decomp.py::HasDecompTest::test_has_decomposition
2025-09-07T07:20:55.7421060Z 
2025-09-07T07:20:57.7713740Z Running test_unary_ufuncs 1/1 ... [2025-09-07 07:20:57.771183]
2025-09-07T07:20:57.7714650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:20:57.7716730Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_unary_ufuncs.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:20:57.771426]
2025-09-07T07:20:59.5757910Z 
2025-09-07T07:20:59.5758740Z profiler/test_memory_profiler 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_memory_profiler_1.1_a0df9764cc17ba03_.log
2025-09-07T07:20:59.5771660Z Running 33 items in this shard: test/profiler/test_memory_profiler.py::TestMemoryProfiler::test_config_check, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_module, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_module_and_optimizer, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_from_optimizer_set_to_none, test/profiler/test_memory_profiler.py::TestIdentifyGradients::test_extract_gradients_low_level, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_complicated, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_non_op_allocations, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_simple, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_simple_backward, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_simple_inplace, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_stacked, test/profiler/test_memory_profiler.py::TestDataFlow::test_data_flow_graph_with_annotations, test/profiler/test_memory_profiler.py::TestDataFlow::test_match_schemas, test/profiler/test_memory_profiler.py::TestDataFlow::test_match_schemas_backward, test/profiler/test_memory_profiler.py::TestDataFlow::test_match_schemas_tensorlist, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_sequential_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_sequential_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_fwd_bwd_step, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_module_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_module_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_categories_e2e_simple_module_fwd_bwd_step, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_inputs_fwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_inputs_fwd_bwd, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_inputs_fwd_lazy, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_lazily_initialized, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_manual_optimizer_step, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_memory_timeline, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_parameters_and_gradients, test/profiler/test_memory_profiler.py::TestMemoryProfilerE2E::test_parameters_and_gradients_set_to_none, test/profiler/test_memory_profiler.py::TestMemoryProfilerTimelineCPU::test_memory_timeline_no_id_cpu
2025-09-07T07:20:59.5779800Z 
2025-09-07T07:21:01.6412720Z Running lazy/test_debug_util 1/1 ... [2025-09-07 07:21:01.641127]
2025-09-07T07:21:01.6413480Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:21:01.6415770Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'lazy/test_debug_util.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:21:01.641386]
2025-09-07T07:21:03.7455090Z 
2025-09-07T07:21:03.7455660Z lazy/test_debug_util 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_debug_util_1.1_d32e7e01c7d04139_.log
2025-09-07T07:21:03.7457230Z Running 1 items in this shard: test/lazy/test_debug_util.py::DebugUtilTest::test_get_python_frames
2025-09-07T07:21:03.7457530Z 
2025-09-07T07:21:05.7880880Z Running nn/test_init 1/1 ... [2025-09-07 07:21:05.787908]
2025-09-07T07:21:05.7881570Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:21:05.7883660Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'nn/test_init.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:21:05.788159]
2025-09-07T07:21:10.5400950Z 
2025-09-07T07:21:10.5401750Z nn/test_init 1/1 was successful, full logs can be found in artifacts with path test/test-reports/nn.test_init_1.1_7ff36480af49d6ce_.log
2025-09-07T07:21:10.5408030Z Running 30 items in this shard: test/nn/test_init.py::TestNNInit::test_calculate_gain_leaky_relu, test/nn/test_init.py::TestNNInit::test_calculate_gain_leaky_relu_only_accepts_numbers, test/nn/test_init.py::TestNNInit::test_calculate_gain_linear, test/nn/test_init.py::TestNNInit::test_calculate_gain_nonlinear, test/nn/test_init.py::TestNNInit::test_calculate_gain_only_accepts_valid_nonlinearities, test/nn/test_init.py::TestNNInit::test_constant, test/nn/test_init.py::TestNNInit::test_deprecation, test/nn/test_init.py::TestNNInit::test_dirac_identity, test/nn/test_init.py::TestNNInit::test_dirac_only_works_on_3_4_5d_inputs, test/nn/test_init.py::TestNNInit::test_dirac_properties, test/nn/test_init.py::TestNNInit::test_eye, test/nn/test_init.py::TestNNInit::test_eye_only_works_on_2d_inputs, test/nn/test_init.py::TestNNInit::test_kaiming_normal, test/nn/test_init.py::TestNNInit::test_kaiming_normal_errors_on_inputs_smaller_than_2d, test/nn/test_init.py::TestNNInit::test_kaiming_normal_warning_on_0element_tensor, test/nn/test_init.py::TestNNInit::test_kaiming_uniform, test/nn/test_init.py::TestNNInit::test_kaiming_uniform_errors_on_inputs_smaller_than_2d, test/nn/test_init.py::TestNNInit::test_kaiming_uniform_warning_on_0element_tensor, test/nn/test_init.py::TestNNInit::test_normal, test/nn/test_init.py::TestNNInit::test_ones_and_zeros, test/nn/test_init.py::TestNNInit::test_orthogonal, test/nn/test_init.py::TestNNInit::test_sparse_default_std, test/nn/test_init.py::TestNNInit::test_sparse_only_works_on_2d_inputs, test/nn/test_init.py::TestNNInit::test_trunc_normal, test/nn/test_init.py::TestNNInit::test_trunc_normal_generator, test/nn/test_init.py::TestNNInit::test_uniform, test/nn/test_init.py::TestNNInit::test_xavier_normal, test/nn/test_init.py::TestNNInit::test_xavier_normal_errors_on_inputs_smaller_than_2d, test/nn/test_init.py::TestNNInit::test_xavier_uniform, test/nn/test_init.py::TestNNInit::test_xavier_uniform_errors_on_inputs_smaller_than_2d
2025-09-07T07:21:10.5412790Z 
2025-09-07T07:21:12.5136590Z Running torch_np/numpy_tests/lib/test_arraysetops 1/1 ... [2025-09-07 07:21:12.513413]
2025-09-07T07:21:12.5137880Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:21:12.5141310Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/lib/test_arraysetops.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:21:12.513756]
2025-09-07T07:21:14.6779210Z 
2025-09-07T07:21:14.6780360Z torch_np/numpy_tests/lib/test_arraysetops 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.lib.test_arraysetops_1.1_ebb94c7633390170_.log
2025-09-07T07:21:14.6796570Z Running 62 items in this shard: test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary0_prepend0_append_nan_expected_to_end, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary1_prepend1_append1_expected_to_begin, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_forbidden_type_casts_ary2_prepend_nan_append_nan_expected_to_begin, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary0_prepend_65536_append_65540_expected0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary1_prepend1_append1_expected1, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary2_prepend_0_append_0_expected2, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_ediff1d_scalar_handling_ary3_prepend_3_append_-9_expected3, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_boolean_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_both_arrays_are_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_both_arrays_have_structured_dtype, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_char_array, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_errors, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_first_array_is_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_hit_alternate_algorithm, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_invert_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_boolean_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype10_dtype20_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_mixed_dtype_dtype11_dtype21_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_ravel_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_second_array_is_object, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_table_timedelta_fails, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_timedelta_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_timedelta_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_in1d_with_arrays_containing_tuples, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d_array_like, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_intersect1d_indices, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind_sort, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_isin_kind_table, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_manyways, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d_char_array, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setdiff1d_unique, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_setxor1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestSetOps::test_union1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_2, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_with_axis_axis_-1, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_1d_with_axis_axis_0, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_errors, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_list, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_axis_zeros, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_nanequals, test/torch_np/numpy_tests/lib/test_arraysetops.py::TestUnique::test_unique_sort_order_with_axis
2025-09-07T07:21:14.6811460Z 
2025-09-07T07:21:16.6649200Z Running test_functional_autograd_benchmark 1/1 ... [2025-09-07 07:21:16.664734]
2025-09-07T07:21:16.6650070Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:21:16.6652800Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_functional_autograd_benchmark.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:21:16.664983]
2025-09-07T07:21:32.0628240Z 
2025-09-07T07:21:32.0628880Z test_sparse_csr 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_sparse_csr_1.1_55427ff7800665fb_.log
2025-09-07T07:21:32.1779110Z Running 4709 items in this shard: test/test_sparse_csr.py::TestSparseCSRSampler::test_make_crow_indices, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSC_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSR_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_add_SparseCSR_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_complex64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSC_cpu_float64, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_complex128, test/test_sparse_csr.py::TestSparseCSRCPU::test_addmm_all_sparse_csr_SparseCSR_cpu_complex64, 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test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseBSR_cpu_bool, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseBSR_cpu_complex128, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseBSR_cpu_complex64, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseBSR_cpu_float16, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseBSR_cpu_float32, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseBSR_cpu_float64, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseBSR_cpu_int16, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseBSR_cpu_int32, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseBSR_cpu_int64, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseBSR_cpu_int8, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseBSR_cpu_uint8, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSC_cpu_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSC_cpu_bool, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSC_cpu_complex128, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSC_cpu_complex64, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSC_cpu_float16, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSC_cpu_float32, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSC_cpu_float64, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSC_cpu_int16, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSC_cpu_int32, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSC_cpu_int64, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSC_cpu_int8, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSC_cpu_uint8, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_bfloat16, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_bool, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_complex128, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_complex64, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_float16, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_float32, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_float64, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_int16, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_int32, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_int64, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_int8, test/test_sparse_csr.py::TestSparseCompressedCPU::test_validate_SparseCSR_cpu_uint8, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_TensorAsKey, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_dense_addmm_meta, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_dense_bmm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_dense_bmm_error_messages, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_scatter_mm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_bsr_softmax, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_kernel, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_sampled_addmm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_scaled_dot_product_attention, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_scatter_mm, test/test_sparse_csr.py::TestSparseCompressedTritonKernelsCPU::test_triton_tune
2025-09-07T07:21:32.2892730Z 
2025-09-07T07:21:34.3972410Z Running test_function_schema 1/1 ... [2025-09-07 07:21:34.397046]
2025-09-07T07:21:34.3973180Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:21:34.3975330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_function_schema.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:21:34.397306]
2025-09-07T07:21:37.0807900Z 
2025-09-07T07:21:37.0808480Z test_function_schema 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_function_schema_1.1_f1f182e8201439e2_.log
2025-09-07T07:21:37.0814770Z Running 15 items in this shard: test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_arguments, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_outputs, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_structure, test/test_function_schema.py::TestFunctionSchema::test_backward_compatible_with_smart_serialization, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_real_use_case, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_with_out, test/test_function_schema.py::TestFunctionSchema::test_forward_compatible_arguments_without_out, test/test_function_schema.py::TestFunctionSchema::test_hash_schema, test/test_function_schema.py::TestFunctionSchema::test_out_schema, test/test_function_schema.py::TestFunctionSchema::test_schema_error, test/test_function_schema.py::TestFunctionSchema::test_serialize_and_deserialize, test/test_function_schema.py::TestFunctionSchema::test_string_optional_parameter_default_value, test/test_function_schema.py::TestFunctionSchema::test_sym_int_argument_properly_parsed, test/test_function_schema.py::TestFunctionSchema::test_tensor_list_alias_annotation_properly_parsed, test/test_function_schema.py::TestFunctionSchema::test_tensor_option_arguments_properly_parsed
2025-09-07T07:21:37.0818320Z 
2025-09-07T07:21:39.6895520Z Running test_type_promotion 1/1 ... [2025-09-07 07:21:39.689370]
2025-09-07T07:21:39.6896810Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:21:39.6899320Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_type_promotion.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:21:39.689720]
2025-09-07T07:21:42.8187810Z 
2025-09-07T07:21:42.8191030Z test_functional_autograd_benchmark 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_functional_autograd_benchmark_1.1_edc0fc15551b5019_.log
2025-09-07T07:21:42.8194020Z Running 2 items in this shard: test/test_functional_autograd_benchmark.py::TestFunctionalAutogradBenchmark::test_fast_tasks, test/test_functional_autograd_benchmark.py::TestFunctionalAutogradBenchmark::test_slow_tasks
2025-09-07T07:21:42.8195820Z 
2025-09-07T07:21:43.7174560Z 
2025-09-07T07:21:43.7175270Z test_type_promotion 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_type_promotion_1.1_7e3d0b0a7215744a_.log
2025-09-07T07:21:43.7347750Z Running 423 items in this shard: test/test_type_promotion.py::TestTypePromotionCPU::test_add_wrapped_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alpha_mismatch_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_alternate_result_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_bfloat16_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_booleans_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_can_cast_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_cat_out_different_dtypes_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_bool_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float32_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_float64_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_float64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_clamp_type_promotion_cpu_int32_int32_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_comparison_ops_with_type_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_complex_assertraises_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_complex_half_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_complex_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_complex_scalar_mult_tensor_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_computation_ignores_out_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_create_bool_tensors_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_cpu_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_inplace_cpu_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_div_promotion_out_cpu_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_float_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_from_issue_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_half_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_indexing_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_indexing_fail_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_inplace_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_int_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_int_to_float_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_integer_addcdiv_deprecated_cpu_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_integer_addcdiv_deprecated_cpu_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_integer_addcdiv_deprecated_cpu_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_integer_addcdiv_deprecated_cpu_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_integer_addcdiv_deprecated_cpu_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_lt_with_type_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_many_promotions_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_mixed_type_backward_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_non_promoting_ops_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_bool_int8, 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test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_complex128_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_complex128_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_complex128_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_complex128_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_complex64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_complex64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_complex64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_numpy_array_binary_ufunc_promotion_cpu_complex64_float16, 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test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int64_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_int8_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_bfloat16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_int8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_cpu_uint8_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_result_type_tensor_vs_scalar_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_add_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_bool, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_int16, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_int32, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_div_promotion_cpu_uint8, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_mul_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_sparse_sub_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_ternary_out_promotion_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_transpose_cpu, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex128_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_complex64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float32_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_float64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_complex128, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_complex64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_float32, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_float64, test/test_type_promotion.py::TestTypePromotionCPU::test_unary_op_out_casting_cpu_int64_int64, test/test_type_promotion.py::TestTypePromotionCPU::test_unsigned_cpu
2025-09-07T07:21:43.7457320Z 
2025-09-07T07:21:45.1068450Z Running torch_np/test_reductions 1/1 ... [2025-09-07 07:21:45.106675]
2025-09-07T07:21:45.1069260Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:21:45.1071370Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/test_reductions.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:21:45.106945]
2025-09-07T07:21:46.0071650Z Running test_dlpack 1/1 ... [2025-09-07 07:21:46.007006]
2025-09-07T07:21:46.0073650Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:21:46.0075420Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_dlpack.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:21:46.007286]
2025-09-07T07:21:48.6953160Z 
2025-09-07T07:21:48.6954340Z test_dlpack 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_dlpack_1.1_117e9f6b2d0e3336_.log
2025-09-07T07:21:48.7014000Z Running 268 items in this shard: test/test_dlpack.py::TestTorchDlPackCPU::test_automatically_select_in_creation_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_copy_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_capsule_conversion_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_diff_streams_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_conversion_with_streams_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_convert_default_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_cuda_per_thread_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_default_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_is_conj_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_non_strided_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_export_requires_grad_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_invalid_cpu_stream_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_invalid_cuda_streams_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_invalid_rocm_streams_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_normalize_strides_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_protocol_conversion_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_shared_storage_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_invalid_stream_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_tensor_on_different_device_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_dlpack_unsupported_dtype_error_cpu, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_float64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_int8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint32, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_dtype_cpu_uint8, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_bfloat16, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_bool, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_complex128, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_complex64, test/test_dlpack.py::TestTorchDlPackCPU::test_from_dlpack_noncontinguous_cpu_float16, 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2025-09-07T07:21:48.7070180Z 
2025-09-07T07:21:49.2975970Z 
2025-09-07T07:21:49.2976720Z torch_np/test_reductions 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.test_reductions_1.1_7374fbffa88f0982_.log
2025-09-07T07:21:49.3229020Z Running 966 items in this shard: test/torch_np/test_reductions.py::TestFlatnonzero::test_basic, test/torch_np/test_reductions.py::TestAny::test_basic, test/torch_np/test_reductions.py::TestAny::test_method_vs_function, test/torch_np/test_reductions.py::TestAny::test_nd, test/torch_np/test_reductions.py::TestAll::test_basic, test/torch_np/test_reductions.py::TestAll::test_method_vs_function, test/torch_np/test_reductions.py::TestAll::test_nd, test/torch_np/test_reductions.py::TestMean::test_mean, test/torch_np/test_reductions.py::TestMean::test_mean_float16, test/torch_np/test_reductions.py::TestMean::test_mean_values, test/torch_np/test_reductions.py::TestMean::test_mean_where, test/torch_np/test_reductions.py::TestSum::test_sum, test/torch_np/test_reductions.py::TestSum::test_sum_boolean, test/torch_np/test_reductions.py::TestSum::test_sum_complex_1_dt0, test/torch_np/test_reductions.py::TestSum::test_sum_complex_1_dt1, test/torch_np/test_reductions.py::TestSum::test_sum_complex_2_dt0, test/torch_np/test_reductions.py::TestSum::test_sum_complex_2_dt1, test/torch_np/test_reductions.py::TestSum::test_sum_dtypes_2, test/torch_np/test_reductions.py::TestSum::test_sum_dtypes_warnings, test/torch_np/test_reductions.py::TestSum::test_sum_initial, test/torch_np/test_reductions.py::TestSum::test_sum_stability, test/torch_np/test_reductions.py::TestSum::test_sum_where, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_array_axis_func3, 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test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func7_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func8_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_-1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_-2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_axis_keepdims_True_dtype_int32_func9_axis_2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func0, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func1, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func10, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func11, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func2, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func3, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func4, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func5, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func6, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func7, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func8, test/torch_np/test_reductions.py::TestGenericReductions::test_out_scalar_func9, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_array_axis_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_array_axis_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_bad_tuple_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_bad_tuple_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_empty_generic_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_axis_empty_generic_func1, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_bad_axis_func0, test/torch_np/test_reductions.py::TestGenericCumSumProd::test_bad_axis_func1
2025-09-07T07:21:49.3490980Z 
2025-09-07T07:21:50.9784630Z Running torch_np/numpy_tests/core/test_scalar_ctors 1/1 ... [2025-09-07 07:21:50.978264]
2025-09-07T07:21:50.9785550Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:21:50.9788250Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'torch_np/numpy_tests/core/test_scalar_ctors.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:21:50.978537]
2025-09-07T07:21:51.6013640Z Running profiler/test_profiler_tree 1/1 ... [2025-09-07 07:21:51.601197]
2025-09-07T07:21:51.6014460Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:21:51.6016590Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'profiler/test_profiler_tree.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:21:51.601444]
2025-09-07T07:21:53.3186760Z 
2025-09-07T07:21:53.3187410Z torch_np/numpy_tests/core/test_scalar_ctors 1/1 was successful, full logs can be found in artifacts with path test/test-reports/torch_np.numpy_tests.core.test_scalar_ctors_1.1_a987da070583b592_.log
2025-09-07T07:21:53.3206110Z Running 65 items in this shard: test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_bool, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_floating, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromString::test_floating_overflow, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromInt::test_intp, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestFromInt::test_uint64_from_negative, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t10_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_complex_t11_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_byte_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_int__t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_intc_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_longlong_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_np_short_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_byte, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_int_, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_intc, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_longlong, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_np_short, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_t25, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_integers_t15_t26, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t10_t23, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t11_t23, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t20, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t21, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t22, test/torch_np/numpy_tests/core/test_scalar_ctors.py::TestArrayFromScalar::test_reals_t12_t23
2025-09-07T07:21:53.3222780Z 
2025-09-07T07:21:53.5727680Z 
2025-09-07T07:21:53.5728400Z profiler/test_profiler_tree 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_profiler_tree_1.1_f728f9f01050b5a2_.log
2025-09-07T07:21:53.5737890Z Running 10 items in this shard: test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda_detailed, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_cuda_with_stream, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_memory, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_memory_and_stack, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_record_function, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_modules, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_torch_dispatch, test/profiler/test_profiler_tree.py::TestProfilerTree::test_profiler_experimental_tree_with_stack_and_torch_function
2025-09-07T07:21:53.5740770Z 
2025-09-07T07:21:55.6266000Z Running test_prims 1/1 ... [2025-09-07 07:21:55.626374]
2025-09-07T07:21:55.6266960Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:21:55.6269630Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_prims.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:21:55.626756]
2025-09-07T07:21:55.7355020Z Running test_jit_autocast 1/1 ... [2025-09-07 07:21:55.735357]
2025-09-07T07:21:55.7355430Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:21:55.7357150Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_jit_autocast.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:21:55.735620]
2025-09-07T07:21:58.6295420Z 
2025-09-07T07:21:58.6296060Z test_prims 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_prims_1.1_6d8338cd119a4ab8_.log
2025-09-07T07:21:58.6341430Z Running 24 items in this shard: test/test_prims.py::TestPrimsBasic::test_check_deprecation_warning, test/test_prims.py::TestPrimsBasic::test_clone_complex, test/test_prims.py::TestPrimsBasic::test_mul_complex, test/test_prims.py::TestPrimsBasic::test_torch_ops, test/test_prims.py::TestPrimsCPU::test_aten_overload_to_prims_cpu, test/test_prims.py::TestPrimsCPU::test_broadcast_in_dim_cpu_float32, test/test_prims.py::TestPrimsCPU::test_broadcast_in_dim_sum_cpu_float32, test/test_prims.py::TestPrimsCPU::test_cbrt_prim_cpu_float64, test/test_prims.py::TestPrimsCPU::test_cbrt_prim_cpu_int64, test/test_prims.py::TestPrimsCPU::test_collapse_cpu_float32, test/test_prims.py::TestPrimsCPU::test_functional_rng_wrappers_cpu_float32, test/test_prims.py::TestPrimsCPU::test_memory_format_strides_cpu_float32, test/test_prims.py::TestPrimsCPU::test_philox_rand_cpu_float32, test/test_prims.py::TestPrimsCPU::test_reshape_view_method_cpu_float32, test/test_prims.py::TestPrimsCPU::test_var_correction_0_cpu_float32, test/test_prims.py::TestPrimsCPU::test_var_correction_1_cpu_float32, test/test_prims.py::TestRefsCPU::test_constant_pad_nd_memory_format_cpu_float32, test/test_prims.py::TestRefsCPU::test_inferred_tags_cpu, test/test_prims.py::TestRefsCPU::test_infinite_loop_from_py_dispatcher_cpu, test/test_prims.py::TestRefsCPU::test_linspace_with_complex_input_cpu, test/test_prims.py::TestRefsCPU::test_logspace_with_complex_input_cpu, test/test_prims.py::TestRefsCPU::test_unbind_cpu, test/test_prims.py::TestDecompCPU::test_decomposition_method_vararg_ones_cpu_float32, test/test_prims.py::TestDecompCPU::test_decomposition_method_vararg_permute_cpu_float32
2025-09-07T07:21:58.6346150Z 
2025-09-07T07:22:01.2093410Z Running profiler/test_torch_tidy 1/1 ... [2025-09-07 07:22:01.207897]
2025-09-07T07:22:01.2102250Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:22:01.2126330Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'profiler/test_torch_tidy.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:22:01.208888]
2025-09-07T07:22:06.0748650Z 
2025-09-07T07:22:06.0754510Z profiler/test_torch_tidy 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_torch_tidy_1.1_aaf2ddcbd9f8d730_.log
2025-09-07T07:22:06.0769590Z Running 22 items in this shard: test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_id_uniqueness, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocation_ids_with_other_ops, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_allocations, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_extra_fields, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_impl_reuse, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_mkldnn_tensors, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_module_and_optimizer_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_nnmodule_params, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer_parameters_adam, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_optimizer_parameters_sgd, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_pointers_and_ids, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_refcounts, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_scalar_ins, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_sparse_tensors, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensor_lists, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensor_properties, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_full, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_keep_alive, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_scalar_args, test/profiler/test_torch_tidy.py::TestTorchTidyProfiler::test_tensorimpl_invalidation_set
2025-09-07T07:22:06.0779340Z 
2025-09-07T07:22:08.6305080Z Running profiler/test_python_tracer 1/1 ... [2025-09-07 07:22:08.630329]
2025-09-07T07:22:08.6305910Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:22:08.6310930Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'profiler/test_python_tracer.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:22:08.630605]
2025-09-07T07:22:15.8681430Z 
2025-09-07T07:22:15.8682760Z test_jit_autocast 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_jit_autocast_1.1_f94d51fd2b4df9fb_.log
2025-09-07T07:22:15.8692600Z Running 54 items in this shard: test/test_jit_autocast.py::TestAutocast::test_autocast_api, test/test_jit_autocast.py::TestAutocast::test_autocast_api_not_supported, test/test_jit_autocast.py::TestAutocast::test_autocast_autodiff, test/test_jit_autocast.py::TestAutocast::test_autocast_decorator, test/test_jit_autocast.py::TestAutocast::test_autocast_decorator_outside_jit, test/test_jit_autocast.py::TestAutocast::test_autocast_mixed_dtypes, test/test_jit_autocast.py::TestAutocast::test_callees, test/test_jit_autocast.py::TestAutocast::test_callees_with_autocast_off, test/test_jit_autocast.py::TestAutocast::test_callees_with_autocast_on, test/test_jit_autocast.py::TestAutocast::test_conditional_autocast, test/test_jit_autocast.py::TestAutocast::test_control_flow, test/test_jit_autocast.py::TestAutocast::test_divergent_autocast, test/test_jit_autocast.py::TestAutocast::test_divergent_types, test/test_jit_autocast.py::TestAutocast::test_duplicate_inputs, test/test_jit_autocast.py::TestAutocast::test_eager_and_script, test/test_jit_autocast.py::TestAutocast::test_explicit_casts, test/test_jit_autocast.py::TestAutocast::test_fp32_policy, test/test_jit_autocast.py::TestAutocast::test_fp32_policy_with_fp64, test/test_jit_autocast.py::TestAutocast::test_fp32_set_opt_dtype_policy, test/test_jit_autocast.py::TestAutocast::test_fp32_set_opt_dtype_policy_fp64, test/test_jit_autocast.py::TestAutocast::test_ignore_amp, test/test_jit_autocast.py::TestAutocast::test_implicitly_nested_autocast, test/test_jit_autocast.py::TestAutocast::test_inplace, test/test_jit_autocast.py::TestAutocast::test_jit_autocast_softmax_cpu, test/test_jit_autocast.py::TestAutocast::test_jit_autocast_softmax_gpu, test/test_jit_autocast.py::TestAutocast::test_jit_call_method_under_autocast, test/test_jit_autocast.py::TestAutocast::test_jit_executor_under_autocast, test/test_jit_autocast.py::TestAutocast::test_jit_freeze_autocast_basic, test/test_jit_autocast.py::TestAutocast::test_jit_freeze_autocast_constants, test/test_jit_autocast.py::TestAutocast::test_jit_generic_autocast, test/test_jit_autocast.py::TestAutocast::test_linear_bf16, test/test_jit_autocast.py::TestAutocast::test_minimal, test/test_jit_autocast.py::TestAutocast::test_minimal_cpu, test/test_jit_autocast.py::TestAutocast::test_minimal_off, test/test_jit_autocast.py::TestAutocast::test_nested_autocast, test/test_jit_autocast.py::TestAutocast::test_promote_policy, test/test_jit_autocast.py::TestAutocast::test_promote_policy_fp64, test/test_jit_autocast.py::TestAutocast::test_reused_autocast, test/test_jit_autocast.py::TestAutocast::test_reused_autocast_expr, test/test_jit_autocast.py::TestAutocast::test_runtime_autocast_state, test/test_jit_autocast.py::TestAutocast::test_runtime_autocast_state_expr, test/test_jit_autocast.py::TestAutocast::test_script_and_tracing, test/test_jit_autocast.py::TestAutocast::test_script_and_tracing_with_autocast, test/test_jit_autocast.py::TestAutocast::test_script_module, test/test_jit_autocast.py::TestAutocast::test_tracing_and_script, test/test_jit_autocast.py::TestAutocast::test_tracing_with_autocast_and_script, test/test_jit_autocast.py::TestJitTraceAutocast::test_cat_promote, test/test_jit_autocast.py::TestJitTraceAutocast::test_generate_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_nchw_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_nhwc_autocast_jit_trace_model, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_cpu, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_cuda, test/test_jit_autocast.py::TestJitTraceAutocast::test_script_autocast_enable_and_check, test/test_jit_autocast.py::TestJitTraceAutocast::test_scripted_aliasing
2025-09-07T07:22:15.8701910Z 
2025-09-07T07:22:16.8133380Z 
2025-09-07T07:22:16.8134770Z profiler/test_python_tracer 1/1 was successful, full logs can be found in artifacts with path test/test-reports/profiler.test_python_tracer_1.1_20c01dadae2a8c1b_.log
2025-09-07T07:22:16.8138030Z Running 3 items in this shard: test/profiler/test_python_tracer.py::TestPythonTracer::test_method_with_c_function, test/profiler/test_python_tracer.py::TestPythonTracer::test_monitoring_callback, test/profiler/test_python_tracer.py::TestPythonTracer::test_unexpected_c_return_events
2025-09-07T07:22:16.8140190Z 
2025-09-07T07:22:18.1704900Z Running lazy/test_reuse_ir 1/1 ... [2025-09-07 07:22:18.170340]
2025-09-07T07:22:18.1705200Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:22:18.1706810Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'lazy/test_reuse_ir.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:22:18.170589]
2025-09-07T07:22:18.9939770Z Running test_quantization 1/1 ... [2025-09-07 07:22:18.993776]
2025-09-07T07:22:18.9940080Z SCRIBE_GRAPHQL_ACCESS_TOKEN is NOT set
2025-09-07T07:22:18.9942510Z Executing ['/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python', '-bb', 'test_quantization.py', '-m', 'not serial', '--shard-id=1', '--num-shards=1', '-v', '-vv', '-rfEX', '-p', 'no:xdist', '--use-pytest', '-x', '--reruns=2', '--import-slow-tests', '--import-disabled-tests'] ... [2025-09-07 07:22:18.994118]
2025-09-07T07:22:20.6086410Z 
2025-09-07T07:22:20.6087020Z lazy/test_reuse_ir 1/1 was successful, full logs can be found in artifacts with path test/test-reports/lazy.test_reuse_ir_1.1_604d44066594d04b_.log
2025-09-07T07:22:20.6094870Z Running 4 items in this shard: test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAdd, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSub, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testAddSubFallback, test/lazy/test_reuse_ir.py::TestLazyReuseIr::testBatchNorm
2025-09-07T07:22:20.6095590Z 
2025-09-07T07:24:27.2974670Z 
2025-09-07T07:24:27.2975160Z test_unary_ufuncs 1/1 was successful, full logs can be found in artifacts with path test/test-reports/test_unary_ufuncs_1.1_683afdc872c61185_.log
2025-09-07T07:24:27.8887930Z Running 24601 items in this shard: test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_angle_complex_to_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_angle_complex_to_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_big_number_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_signed_zero_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_signed_zero_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_zero_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_abs_zero_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cdouble_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing__refs__conversions_char_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bitwise_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bitwise_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bitwise_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bitwise_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bitwise_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cdouble_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_char_cpu_complex64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_digamma_cpu_int64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_double_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_erf_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isfinite_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isinf_cpu_uint8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isnan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isneginf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isneginf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isneginf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isneginf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isneginf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isneginf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isneginf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isneginf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isneginf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isneginf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isposinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_jiterator_unary_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_long_cpu_complex64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_mvlgamma_mvlgamma_p_5_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_hardsigmoid_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_batch_vs_slicing_nn_functional_softsign_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other__refs_reciprocal_cpu_complex64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_angle_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asin_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_asinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_atanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bitwise_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cdouble_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_cpu_complex32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_conj_physical_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_i0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_imag_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_int_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isfinite_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isnan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isneginf_cpu_bool, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isposinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_jiterator_unary_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_lgamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_reciprocal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_neg_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_neg_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_round_decimals_neg_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_rsqrt_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_sgn_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_every_other_short_cpu_uint8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_acosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_angle_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asin_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_asinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_atanh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bfloat16_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bitwise_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_bool_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cdouble_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_double_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_erfinv_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_exp_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_expm1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_fill_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_float_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_floor_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frac_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_half_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_i0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_imag_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_int_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isfinite_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isnan_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isneginf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isposinf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_isreal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_jiterator_unary_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_lgamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_log_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_logit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_celu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_elu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_reciprocal_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_round_decimals_neg_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_rsqrt_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sgn_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_short_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sigmoid_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_signbit_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sin_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_sinh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_airy_ai_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_j1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_bessel_y1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_entr_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_erfcx_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_special_i0e_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_contig_vs_transposed_trunc_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_special_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_digamma_special_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_exp_slow_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_multigammaln_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains__refs_sqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_acosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_asin_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_atanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_erfinv_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_log_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_logit_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_rsqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_special_ndtri_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_special_ndtri_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_float_domains_sqrt_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_assert_raises_cpu, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_frexp_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardshrink_edge_cases_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_backward_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardswish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardswish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_hardswish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_range3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_i0_special_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_common_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igamma_edge_cases_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_common_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_edge_cases_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_edge_cases_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_edge_cases_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_igammac_edge_cases_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_isposinf_isneginf_non_boolean_output_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_log1p_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_log1p_complex_cpu_complex64, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_byte_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cdouble_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_ceil_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cfloat_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_chalf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_char_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_conj_physical_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cos_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_cosh_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_deg2rad_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_digamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_double_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erf_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_erfc_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_exp2_cpu_int8, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_jiterator_unary_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_lgamma_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log10_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log1p_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_log2_cpu_int16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logical_not_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_logit_cpu_float32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_long_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_mvlgamma_mvlgamma_p_5_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nan_to_num_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_neg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_celu_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_hardtanh_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_logsigmoid_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_mish_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_prelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu6_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_relu_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_rrelu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_selu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_complex_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_complex_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_silu_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softplus_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_softsign_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_tanhshrink_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_nn_functional_threshold_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_1_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_2_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_3_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_polygamma_polygamma_n_4_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_complex32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_positive_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_rad2deg_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_bfloat16, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_real_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_bfloat16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_complex128, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_complex64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_reciprocal_cpu_int32, 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test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_airy_ai_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j0_cpu_uint8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_bool, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_float32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_float64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_int16, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_int32, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_int64, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_int8, test/test_unary_ufuncs.py::TestUnaryUfuncsCPU::test_non_contig_expand_special_bessel_j1_cpu_uint8, 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2025-09-07T07:24:28.5909050Z 
2025-09-07T07:28:26.6944960Z 
2025-09-07T07:28:26.6945430Z PRINTING LOG FILE of test_quantization 1/1 (test/test-reports/test_quantization_1.1_c800ff37fdd20169_.log)
2025-09-07T07:28:26.6946210Z cannot import name 'TestBitsCUDA' from 'quantization.core.experimental.test_bits' (/Users/ec2-user/runner/_work/pytorch/pytorch/test/quantization/core/experimental/test_bits.py)
2025-09-07T07:28:26.6947160Z cannot import name 'TestFloat8DtypeCUDA' from 'quantization.core.experimental.test_floatx' (/Users/ec2-user/runner/_work/pytorch/pytorch/test/quantization/core/experimental/test_floatx.py)
2025-09-07T07:28:26.6947960Z Test results will be stored in test-reports/python-pytest/test_quantization/test_quantization-c3543d1ceaed05a9.xml
2025-09-07T07:28:26.6948390Z ============================= test session starts ==============================
2025-09-07T07:28:26.6948860Z platform darwin -- Python 3.12.11, pytest-7.3.2, pluggy-1.6.0 -- /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/python
2025-09-07T07:28:26.6949560Z cachedir: .pytest_cache
2025-09-07T07:28:26.6950020Z hypothesis profile 'pytorch_ci' -> database=None, deadline=None, max_examples=50, derandomize=True, suppress_health_check=[HealthCheck.too_slow]
2025-09-07T07:28:26.6950530Z rootdir: /Users/ec2-user/runner/_work/pytorch/pytorch
2025-09-07T07:28:26.6950760Z configfile: pytest.ini
2025-09-07T07:28:26.6951160Z plugins: xdoctest-1.1.0, cpp-2.3.0, rerunfailures-10.3, flakefinder-1.1.0, hypothesis-6.56.4, xdist-3.3.1, subtests-0.13.1, typeguard-4.3.0
2025-09-07T07:28:26.6951600Z collecting ... collected 1338 items
2025-09-07T07:28:26.6951850Z stepcurrent: Cannot find last run test, not skipping
2025-09-07T07:28:26.7230010Z Running 1338 items in this shard: test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool, test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool3d_ndhwc, test/test_quantization.py::TestQuantizedOps::test_add_scalar_relu, test/test_quantization.py::TestQuantizedOps::test_advanced_indexing, test/test_quantization.py::TestQuantizedOps::test_avg_pool2d, test/test_quantization.py::TestQuantizedOps::test_avg_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_avg_pool3d, test/test_quantization.py::TestQuantizedOps::test_avg_pool3d_nhwc, test/test_quantization.py::TestQuantizedOps::test_batch_norm, test/test_quantization.py::TestQuantizedOps::test_batch_norm_relu, test/test_quantization.py::TestQuantizedOps::test_cat, test/test_quantization.py::TestQuantizedOps::test_cat_nhwc, test/test_quantization.py::TestQuantizedOps::test_channel_shuffle, test/test_quantization.py::TestQuantizedOps::test_custom_module_lstm, test/test_quantization.py::TestQuantizedOps::test_custom_module_multi_head_attention, test/test_quantization.py::TestQuantizedOps::test_empty_batch, test/test_quantization.py::TestQuantizedOps::test_equal, test/test_quantization.py::TestQuantizedOps::test_group_norm, test/test_quantization.py::TestQuantizedOps::test_hardswish, test/test_quantization.py::TestQuantizedOps::test_hardtanh, test/test_quantization.py::TestQuantizedOps::test_instance_norm, test/test_quantization.py::TestQuantizedOps::test_int8_add_onednn, test/test_quantization.py::TestQuantizedOps::test_int8_batch_norm_onednn, test/test_quantization.py::TestQuantizedOps::test_int8_mul_onednn, test/test_quantization.py::TestQuantizedOps::test_interpolate, test/test_quantization.py::TestQuantizedOps::test_interpolate3d, test/test_quantization.py::TestQuantizedOps::test_leaky_relu, test/test_quantization.py::TestQuantizedOps::test_leaky_relu_observed_output, test/test_quantization.py::TestQuantizedOps::test_linear_bias_unpack, test/test_quantization.py::TestQuantizedOps::test_max_pool1d, test/test_quantization.py::TestQuantizedOps::test_max_pool2d, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_cudnn, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_nhwc, test/test_quantization.py::TestQuantizedOps::test_max_pool2d_pt2e, test/test_quantization.py::TestQuantizedOps::test_max_pool3d, test/test_quantization.py::TestQuantizedOps::test_max_pool3d_nhwc, test/test_quantization.py::TestQuantizedOps::test_mean, test/test_quantization.py::TestQuantizedOps::test_mul_scalar_relu, test/test_quantization.py::TestQuantizedOps::test_qadd_broadcast, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn_nhwc, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_different_qparams, test/test_quantization.py::TestQuantizedOps::test_qadd_relu_same_qparams, test/test_quantization.py::TestQuantizedOps::test_qcelu, test/test_quantization.py::TestQuantizedOps::test_qclamp, test/test_quantization.py::TestQuantizedOps::test_qelu, test/test_quantization.py::TestQuantizedOps::test_qgelu, test/test_quantization.py::TestQuantizedOps::test_qhardsigmoid, test/test_quantization.py::TestQuantizedOps::test_qlayer_norm, test/test_quantization.py::TestQuantizedOps::test_qmatmul, test/test_quantization.py::TestQuantizedOps::test_qmul_broadcast, test/test_quantization.py::TestQuantizedOps::test_qmul_relu_different_qparams, test/test_quantization.py::TestQuantizedOps::test_qmul_relu_same_qparams, test/test_quantization.py::TestQuantizedOps::test_qprelu, test/test_quantization.py::TestQuantizedOps::test_qrelu, test/test_quantization.py::TestQuantizedOps::test_qrelu6, test/test_quantization.py::TestQuantizedOps::test_qsoftmax, test/test_quantization.py::TestQuantizedOps::test_qsoftmax_qnnpack, test/test_quantization.py::TestQuantizedOps::test_qtanh, test/test_quantization.py::TestQuantizedOps::test_qthreshold, test/test_quantization.py::TestQuantizedOps::test_qtopk, test/test_quantization.py::TestQuantizedOps::test_quantized_equal, test/test_quantization.py::TestQuantizedOps::test_quantized_mean_qnnpack, test/test_quantization.py::TestQuantizedOps::test_sigmoid, test/test_quantization.py::TestQuantizedOps::test_sigmoid_dequantize_rounding_error, test/test_quantization.py::TestQuantizedOps::test_sigmoid_non_observed, test/test_quantization.py::TestQuantizedOps::test_std, test/test_quantization.py::TestQNNPackOps::test_adaptive_avg_pool2d, test/test_quantization.py::TestQNNPackOps::test_avg_pool2d, test/test_quantization.py::TestQNNPackOps::test_hardtanh, test/test_quantization.py::TestQNNPackOps::test_mean, test/test_quantization.py::TestQNNPackOps::test_qnnpack_add, test/test_quantization.py::TestQNNPackOps::test_qnnpack_add_broadcast, test/test_quantization.py::TestQNNPackOps::test_qnnpack_maxpool2d, test/test_quantization.py::TestQNNPackOps::test_qnnpack_mul, test/test_quantization.py::TestQNNPackOps::test_qnnpack_relu, test/test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid, test/test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid_sweep, test/test_quantization.py::TestQNNPackOps::test_qnnpack_tanh, test/test_quantization.py::TestQuantizedLinear::test_qlinear, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_relu_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_add_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_cudnn, test/test_quantization.py::TestQuantizedLinear::test_qlinear_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_gelu_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_gelu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_leaky_relu, test/test_quantization.py::TestQuantizedLinear::test_qlinear_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_qnnpack_free_memory_and_unpack, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_relu_fp8, test/test_quantization.py::TestQuantizedLinear::test_qlinear_sum_relu_pt2e, test/test_quantization.py::TestQuantizedLinear::test_qlinear_tanh, test/test_quantization.py::TestQuantizedLinear::test_qlinear_unpack, test/test_quantization.py::TestQuantizedLinear::test_qlinear_with_input_q_dq_qweight_dq_output_fp32, test/test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear, test/test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear_prepacked, test/test_quantization.py::TestQuantizedConv::test_benchmark, test/test_quantization.py::TestQuantizedConv::test_conv_reorder_issue_onednn, test/test_quantization.py::TestQuantizedConv::test_conv_transpose_reorder_issue_onednn, test/test_quantization.py::TestQuantizedConv::test_qconv1d, test/test_quantization.py::TestQuantizedConv::test_qconv1d_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv1d_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv1d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv1d_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv1d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv2d, test/test_quantization.py::TestQuantizedConv::test_qconv2d_add, test/test_quantization.py::TestQuantizedConv::test_qconv2d_add_relu, test/test_quantization.py::TestQuantizedConv::test_qconv2d_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv2d_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardtanh_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_hardtanh_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_cudnn, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_float_output_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_swish_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv2d_swish_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv2d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv3d, test/test_quantization.py::TestQuantizedConv::test_qconv3d_fp8, test/test_quantization.py::TestQuantizedConv::test_qconv3d_pt2e, test/test_quantization.py::TestQuantizedConv::test_qconv3d_relu, test/test_quantization.py::TestQuantizedConv::test_qconv3d_unpack, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose1d, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose2d, test/test_quantization.py::TestQuantizedConv::test_qconv_transpose3d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv1d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv2d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv3d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose1d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose2d, test/test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose3d, test/test_quantization.py::TestDynamicQuantizedOps::test_linear_dynamic_fp16_onednn, test/test_quantization.py::TestDynamicQuantizedOps::test_linear_prepack_fp16_numerics, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear_dynamic_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_qlinear_legacy, test/test_quantization.py::TestDynamicQuantizedOps::test_qlstmGRU, test/test_quantization.py::TestDynamicQuantizedOps::test_qrnncell, test/test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16_opcheck, test/test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_linear_fp16, test/test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_pack_gemm_matrix_fp16_pt2_compliant, test/test_quantization.py::TestComparatorOps::test_compare_tensor_scalar, test/test_quantization.py::TestComparatorOps::test_compare_tensor_tensor, test/test_quantization.py::TestPadding::test_constant_padNd, test/test_quantization.py::TestPadding::test_reflection_pad1d, test/test_quantization.py::TestPadding::test_reflection_pad2d, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_2d_indices, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2bit, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2d_indices, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_4bit, test/test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_byte, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv1d_api, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv2d_api, test/test_quantization.py::TestQuantizedFunctionalOps::test_conv3d_api, test/test_quantization.py::TestQuantizedFunctionalOps::test_grid_sample, test/test_quantization.py::TestQuantizedFunctionalOps::test_relu_api, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor_cachemask_cpu, test/test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor_cachemask_cuda, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quant_control, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quant_per_channel_qparam_range, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quant_preserves_qparam_shapes_for_activations, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quantize_per_channel_affine_scale_dtypes, test/test_quantization.py::TestFakeQuantizeOps::test_fake_quantize_per_tensor_affine_inf, 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test/test_quantization.py::TestFusedObsFakeQuant::test_fused_backward_op_fake_quant_off, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_backward_op, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg, test/test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg_per_channel, test/test_quantization.py::TestQuantizedTensor::test_bfp16_quantize, test/test_quantization.py::TestQuantizedTensor::test_choose_qparams, test/test_quantization.py::TestQuantizedTensor::test_choose_qparams_optimized, test/test_quantization.py::TestQuantizedTensor::test_clone, test/test_quantization.py::TestQuantizedTensor::test_compare_per_channel_device_numerics, test/test_quantization.py::TestQuantizedTensor::test_compare_per_tensor_device_numerics, test/test_quantization.py::TestQuantizedTensor::test_cuda_quantization_does_not_pin_memory, 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test/test_quantization.py::TestObserver::test_per_channel_observers_load_state_dict, test/test_quantization.py::TestObserver::test_per_tensor_observers, test/test_quantization.py::TestObserver::test_save_load_state_dict_script, test/test_quantization.py::TestObserver::test_state_dict_respects_device_affinity, test/test_quantization.py::TestObserver::test_zero_numel, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d, test/test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_channel_shuffle, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv1d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_add_relu, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv2d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_api, test/test_quantization.py::TestStaticQuantizedModule::test_conv3d_relu_api, test/test_quantization.py::TestStaticQuantizedModule::test_dropout, test/test_quantization.py::TestStaticQuantizedModule::test_dropout_serialization, test/test_quantization.py::TestStaticQuantizedModule::test_elu, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_api, test/test_quantization.py::TestStaticQuantizedModule::test_embedding_bag_api, test/test_quantization.py::TestStaticQuantizedModule::test_group_norm, test/test_quantization.py::TestStaticQuantizedModule::test_hard_swish, test/test_quantization.py::TestStaticQuantizedModule::test_instance_norm, test/test_quantization.py::TestStaticQuantizedModule::test_layer_norm, test/test_quantization.py::TestStaticQuantizedModule::test_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_linear, test/test_quantization.py::TestStaticQuantizedModule::test_linear_leaky_relu, test/test_quantization.py::TestStaticQuantizedModule::test_linear_relu, test/test_quantization.py::TestStaticQuantizedModule::test_linear_tanh, test/test_quantization.py::TestStaticQuantizedModule::test_pool_api, test/test_quantization.py::TestStaticQuantizedModule::test_prelu, test/test_quantization.py::TestStaticQuantizedModule::test_quant_dequant_api, test/test_quantization.py::TestStaticQuantizedModule::test_relu, test/test_quantization.py::TestStaticQuantizedModule::test_sigmoid, test/test_quantization.py::TestDynamicQuantizedModule::test_cell_api, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv1d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv2d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv3d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose1d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose2d, test/test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose3d, test/test_quantization.py::TestDynamicQuantizedModule::test_gru_api, test/test_quantization.py::TestDynamicQuantizedModule::test_linear_api, test/test_quantization.py::TestDynamicQuantizedModule::test_lstm_api, test/test_quantization.py::TestReferenceQuantizedModule::test_linear_decomposed_weight_custom_qmin_qmax, test/test_quantization.py::TestReferenceQuantizedModule::test_rnn, test/test_quantization.py::TestReferenceQuantizedModule::test_rnn_cell, test/test_quantization.py::TestReferenceQuantizedModule::test_sparse, test/test_quantization.py::TestRecordHistogramObserver::test_observer_scriptable, test/test_quantization.py::TestRecordHistogramObserver::test_record_observer, test/test_quantization.py::TestHistogramObserver::test_histogram_observer, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_against_reference, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_correct_numel, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_extreme_inputs, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_one_sided, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_same_inputs, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_single_inputs, test/test_quantization.py::TestHistogramObserver::test_histogram_observer_update_within_range_succeeds, test/test_quantization.py::TestHistogramObserver::test_observer_scriptable, test/test_quantization.py::TestDistributed::test_device_affinity, test/test_quantization.py::TestDistributed::test_fake_quant_preserves_buffers, test/test_quantization.py::TestDistributed::test_observers_preserve_buffers, test/test_quantization.py::TestDistributed::test_qat_convbn_fused_syncbn_replacement, test/test_quantization.py::TestDistributed::test_qat_data_parallel, test/test_quantization.py::TestDistributed::test_syncbn_preserves_qconfig, test/test_quantization.py::TestFusedObsFakeQuantModule::test_compare_fused_obs_fq_oss_module, test/test_quantization.py::TestFusedObsFakeQuantModule::test_default_fused_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_bag_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_qat_config, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_per_channel, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_reduce_range, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_module, test/test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_moving_avg_module, test/test_quantization.py::TestBackendConfig::test_backend_config_from_dict, test/test_quantization.py::TestBackendConfig::test_backend_config_set_backend_pattern_config, test/test_quantization.py::TestBackendConfig::test_backend_config_set_name, test/test_quantization.py::TestBackendConfig::test_backend_config_to_dict, test/test_quantization.py::TestBackendConfig::test_backend_op_config_add_dtype_config, test/test_quantization.py::TestBackendConfig::test_backend_op_config_from_dict, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_extra_inputs_getter, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_fused_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_fuser_method, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_input_type_to_index, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_num_tensor_args_to_observation_type, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_observation_type, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_qat_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_reference_quantized_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_root_module, test/test_quantization.py::TestBackendConfig::test_backend_op_config_set_root_node_getter, test/test_quantization.py::TestBackendConfig::test_backend_op_config_to_dict, test/test_quantization.py::TestBackendConfig::test_dtype_config_from_dict, test/test_quantization.py::TestBackendConfig::test_dtype_config_to_dict, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_complex_args, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_default_kwargs, test/test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_simple, test/test_quantization.py::TestUtils::test_quantize_weight_clamping_per_channel, test/test_quantization.py::TestUtils::test_quantize_weight_clamping_per_tensor, test/test_quantization.py::TestUtils::test_uint4_int4_dtype, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_activations, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_activations_in_non_leaf_module_list, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_fails_early, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_qconfig_none, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_custom_module_class, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_dequant_stub, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_manual, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_mha_batch_first_attr_is_copied_in_prepare, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested1, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested2, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_nested3, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_normalization, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding_bag, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_quantwrapper_attaches_qconfig_to_dequant, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_resnet_base, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_save_load_state_dict, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_single_layer, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_skip_quant, test/test_quantization.py::TestQuantizeEagerPTQStatic::test_two_layers, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_bag_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_ops_dynamic, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_linear_relu_fusion, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested1, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested2, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested3, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_per_channel_linear_quantize, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn_cell, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_single_layer, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_two_layers, test/test_quantization.py::TestQuantizeEagerPTQDynamic::test_type_match_rule, test/test_quantization.py::TestQuantizeEagerOps::test_conv_1d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_2d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_3d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_1d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_2d, test/test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_3d, test/test_quantization.py::TestQuantizeEagerOps::test_functional_module, test/test_quantization.py::TestQuantizeEagerOps::test_int16_reference_module, test/test_quantization.py::TestQuantizeEagerOps::test_leaky_relu, test/test_quantization.py::TestQuantizeEagerOps::test_linear, test/test_quantization.py::TestQuantizeEagerOps::test_relu, test/test_quantization.py::TestQuantizeEagerQAT::test_add_scalar_uses_input_qparams, test/test_quantization.py::TestQuantizeEagerQAT::test_conv_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_conv_linear_symm, test/test_quantization.py::TestQuantizeEagerQAT::test_defused_embedding_bag_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_dropout, test/test_quantization.py::TestQuantizeEagerQAT::test_dynamic_qat_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_embedding_bag_linear, test/test_quantization.py::TestQuantizeEagerQAT::test_embedding_qat_qconfig_equal, test/test_quantization.py::TestQuantizeEagerQAT::test_eval_only_fake_quant, test/test_quantization.py::TestQuantizeEagerQAT::test_forward_hooks_preserved, test/test_quantization.py::TestQuantizeEagerQAT::test_manual, test/test_quantization.py::TestQuantizeEagerQAT::test_mul_scalar_uses_input_qparams, test/test_quantization.py::TestQuantizeEagerQAT::test_qat_embedding_bag_errors, test/test_quantization.py::TestQuantizeEagerQAT::test_train_save_load_eval, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_folded_vs_unfolded, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_relu, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_fixed_qparam_ops, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_leaky_relu, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_numerics, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_symm_numerics, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_workflow, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_precomputed_fake_quant, test/test_quantization.py::TestQuantizeEagerQATNumerics::test_relu, test/test_quantization.py::TestFuseEager::test_forward_hooks_preserved, test/test_quantization.py::TestFuseEager::test_fuse_function_customization, test/test_quantization.py::TestFuseEager::test_fuse_module_eval, test/test_quantization.py::TestFuseEager::test_fuse_module_train, test/test_quantization.py::TestFuseEager::test_fuse_modules_with_nested_hooks, test/test_quantization.py::TestFuseEager::test_fusion_conv_with_bias, test/test_quantization.py::TestFuseEager::test_fusion_convtranspose_bn_eval, test/test_quantization.py::TestFuseEager::test_fusion_linear_bn_eval, test/test_quantization.py::TestFuseEager::test_fusion_sequential_model_eval, test/test_quantization.py::TestFuseEager::test_fusion_sequential_model_train, test/test_quantization.py::TestModelNumericsEager::test_fake_quant_true_quant_compare, test/test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_channel, test/test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_tensor, test/test_quantization.py::TestModelNumericsEager::test_weight_only_activation_only_fakequant, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_functional_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_functional_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_partial, test/test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_submodule_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_conv_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_static, test/test_quantization.py::TestNumericSuiteEager::test_compare_weights_lstm_dynamic, test/test_quantization.py::TestNumericSuiteEager::test_mobilenet_v2, test/test_quantization.py::TestNumericSuiteEager::test_mobilenet_v3, test/test_quantization.py::TestNumericSuiteEager::test_output_logger, test/test_quantization.py::TestNumericSuiteEager::test_shadow_logger, test/test_quantization.py::TestEqualizeEager::test_converged, test/test_quantization.py::TestEqualizeEager::test_cross_layer_equalization, test/test_quantization.py::TestEqualizeEager::test_equalize, test/test_quantization.py::TestEqualizeEager::test_equalize_fused_convrelu, test/test_quantization.py::TestEqualizeEager::test_equalize_fused_linearrelu, test/test_quantization.py::TestBiasCorrectionEager::test_conv_chain, test/test_quantization.py::TestBiasCorrectionEager::test_linear_chain, test/test_quantization.py::TestFuseFx::test_fuse_addtional_fuser_method, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_by_default, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_lowering, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_onednn, test/test_quantization.py::TestFuseFx::test_fuse_conv_bn_relu, test/test_quantization.py::TestFuseFx::test_fuse_convtranspose_bn_eval, test/test_quantization.py::TestFuseFx::test_fuse_custom_pattern, test/test_quantization.py::TestFuseFx::test_fuse_linear_bn_eval, test/test_quantization.py::TestFuseFx::test_fuse_linear_bn_leaky_relu_onednn, test/test_quantization.py::TestFuseFx::test_fuse_linear_tanh_for_onednn_backend, test/test_quantization.py::TestFuseFx::test_fuse_module_relu, test/test_quantization.py::TestFuseFx::test_fusion_pattern_with_matchallnode, test/test_quantization.py::TestFuseFx::test_fusion_pattern_with_multiple_inputs, test/test_quantization.py::TestFuseFx::test_linear_bn_leaky_relu_not_fused_by_default, test/test_quantization.py::TestFuseFx::test_linear_tanh_not_fused_by_default, test/test_quantization.py::TestFuseFx::test_problematic_fuse_example, test/test_quantization.py::TestFuseFx::test_qconfig_fused_module, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx_dynamic_quant, test/test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx_per_channel_quant, test/test_quantization.py::TestQuantizeFx::test_assert_on_size_after_quant_layer, test/test_quantization.py::TestQuantizeFx::test_attention, test/test_quantization.py::TestQuantizeFx::test_backend_config_check_for_weight_and_bias, test/test_quantization.py::TestQuantizeFx::test_backend_config_quantization_range, test/test_quantization.py::TestQuantizeFx::test_backend_config_scale_min, test/test_quantization.py::TestQuantizeFx::test_change_backend_config_for_fixed_qparam_ops, test/test_quantization.py::TestQuantizeFx::test_channel_shuffle_lowering, test/test_quantization.py::TestQuantizeFx::test_conv_bn_relu, test/test_quantization.py::TestQuantizeFx::test_conv_linear_not_reference, test/test_quantization.py::TestQuantizeFx::test_conv_linear_reference, test/test_quantization.py::TestQuantizeFx::test_conv_lowering, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_not_reference, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_reference, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_relu_not_reference, test/test_quantization.py::TestQuantizeFx::test_conv_transpose_relu_reference, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_observed_to_quantized_mapping, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_convert_custom_config_to_dict, test/test_quantization.py::TestQuantizeFx::test_convert_qconfig_mapping, test/test_quantization.py::TestQuantizeFx::test_convtranspose_per_channel_fails_early, test/test_quantization.py::TestQuantizeFx::test_copy_node_has_shared_actpp_instance, test/test_quantization.py::TestQuantizeFx::test_custom_module_class, test/test_quantization.py::TestQuantizeFx::test_custom_module_class_input_has_duplicate_nodes, test/test_quantization.py::TestQuantizeFx::test_custom_module_class_input_has_multiple_users, test/test_quantization.py::TestQuantizeFx::test_deepcopy_preserve_attributes, test/test_quantization.py::TestQuantizeFx::test_default_qconfig_mapping_override_global, test/test_quantization.py::TestQuantizeFx::test_default_quant_after_none_qconfig, test/test_quantization.py::TestQuantizeFx::test_dequantize, test/test_quantization.py::TestQuantizeFx::test_dict_output, test/test_quantization.py::TestQuantizeFx::test_dynamic_linear_input_multiple_use, test/test_quantization.py::TestQuantizeFx::test_dynamic_quant_fp16, test/test_quantization.py::TestQuantizeFx::test_dynamic_quant_weight_observer, test/test_quantization.py::TestQuantizeFx::test_dynamic_with_fusion, test/test_quantization.py::TestQuantizeFx::test_dynamic_with_fusion_multiple_uses, test/test_quantization.py::TestQuantizeFx::test_fold_quant_dequant, test/test_quantization.py::TestQuantizeFx::test_fp32_input_fp32_output, test/test_quantization.py::TestQuantizeFx::test_fp32_input_quantized_output, test/test_quantization.py::TestQuantizeFx::test_fp32_sum, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_set_preserved_attributes, test/test_quantization.py::TestQuantizeFx::test_fuse_custom_config_to_dict, test/test_quantization.py::TestQuantizeFx::test_fused_module_qat_swap, test/test_quantization.py::TestQuantizeFx::test_fusion_pattern_unquantized, test/test_quantization.py::TestQuantizeFx::test_get_default_qconfig_valid_backend, test/test_quantization.py::TestQuantizeFx::test_get_executorch_backend_config, test/test_quantization.py::TestQuantizeFx::test_getattr_with_nontensor_result, test/test_quantization.py::TestQuantizeFx::test_keep_original_weights, test/test_quantization.py::TestQuantizeFx::test_linear_bn, test/test_quantization.py::TestQuantizeFx::test_linear_leaky_relu_lowering, test/test_quantization.py::TestQuantizeFx::test_linear_qint8_activation, test/test_quantization.py::TestQuantizeFx::test_linear_shape_view, test/test_quantization.py::TestQuantizeFx::test_linear_size_view, test/test_quantization.py::TestQuantizeFx::test_linear_tanh_lowering, test/test_quantization.py::TestQuantizeFx::test_lowering_functional_conv_transpose_with_kwargs, test/test_quantization.py::TestQuantizeFx::test_lowering_functional_conv_with_kwargs, test/test_quantization.py::TestQuantizeFx::test_lowering_functional_linear_with_kwargs, test/test_quantization.py::TestQuantizeFx::test_masked_fill_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_match_pattern_with_multiple_args, test/test_quantization.py::TestQuantizeFx::test_mixed_dtypes, test/test_quantization.py::TestQuantizeFx::test_mul_add_fp16_config, test/test_quantization.py::TestQuantizeFx::test_no_obs_between_unmatched_node_and_copy_node, test/test_quantization.py::TestQuantizeFx::test_non_traceable_module, test/test_quantization.py::TestQuantizeFx::test_not_used, test/test_quantization.py::TestQuantizeFx::test_observer_fqn, test/test_quantization.py::TestQuantizeFx::test_output_lists_and_dicts, test/test_quantization.py::TestQuantizeFx::test_packed_weight_fused_op, test/test_quantization.py::TestQuantizeFx::test_pattern_match, test/test_quantization.py::TestQuantizeFx::test_pattern_match_constant, test/test_quantization.py::TestQuantizeFx::test_permute_nontensor_args_not_observed, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_from_dict, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_float_to_observed_mapping, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_input_quantized_indexes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_classes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_names, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_output_quantized_indexes, test/test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_preserved_attributes, 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test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern, test/test_quantization.py::TestSubgraphRewriter::test_subgraph_writer_replace_consecutive_submodules, test/test_quantization.py::TestGraphUtils::test_conv_bn_conv_relu, test/test_quantization.py::TestGraphUtils::test_conv_bn_relu, test/test_quantization.py::TestGraphUtils::test_customized_equivalet_types_dict, test/test_quantization.py::TestDuplicateDQPass::test_avgpool_use_different_qconfig, test/test_quantization.py::TestDuplicateDQPass::test_no_add_quant_duplicate_dq, 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test/test_quantization.py::TestQuantizePT2E::test_embedding_quantizer, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_observer_dedup, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_ptq, test/test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_qat, test/test_quantization.py::TestQuantizePT2E::test_fold_all_ops_before_quantize, test/test_quantization.py::TestQuantizePT2E::test_fold_quantize, test/test_quantization.py::TestQuantizePT2E::test_fold_quantize_per_channel, test/test_quantization.py::TestQuantizePT2E::test_groupwise_per_channel_quant, test/test_quantization.py::TestQuantizePT2E::test_input_edge_sanity_check, test/test_quantization.py::TestQuantizePT2E::test_max_pool2d_quantizer, test/test_quantization.py::TestQuantizePT2E::test_model_is_exported, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_bn_device_cpu, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout, test/test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout_inplace, test/test_quantization.py::TestQuantizePT2E::test_multi_users_without_output_observer, test/test_quantization.py::TestQuantizePT2E::test_observer_callback, test/test_quantization.py::TestQuantizePT2E::test_prepare_obs_or_fq_callback, test/test_quantization.py::TestQuantizePT2E::test_preserve_nn_module_stack, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_float8_e4m3fn, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_float8_e5m2, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_int16, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e4m3fn, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e5m2, test/test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_int16, test/test_quantization.py::TestQuantizePT2E::test_reentrant, test/test_quantization.py::TestQuantizePT2E::test_save_load, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity, test/test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity_case_2, test/test_quantization.py::TestQuantizePT2E::test_simple_quantizer, test/test_quantization.py::TestQuantizePT2E::test_speed, test/test_quantization.py::TestQuantizePT2E::test_transform_for_annotation, test/test_quantization.py::TestQuantizePT2E::test_wo_annotate_conv_output_quantizer, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_channel_group_quantization, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_affine_act_per_channel_weights, test/test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_per_tok_act_per_group_weights, test/test_quantization.py::TestPT2ERepresentation::test_add, test/test_quantization.py::TestPT2ERepresentation::test_add_relu, test/test_quantization.py::TestPT2ERepresentation::test_conv2d, test/test_quantization.py::TestPT2ERepresentation::test_dynamic_linear, test/test_quantization.py::TestPT2ERepresentation::test_maxpool2d, test/test_quantization.py::TestPT2ERepresentation::test_qdq, test/test_quantization.py::TestPT2ERepresentation::test_qdq_per_channel, test/test_quantization.py::TestPT2ERepresentation::test_static_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_add_and_inplace_add, test/test_quantization.py::TestXNNPACKQuantizer::test_add_mul_long, test/test_quantization.py::TestXNNPACKQuantizer::test_add_mul_scalar, test/test_quantization.py::TestXNNPACKQuantizer::test_cat_same_node, test/test_quantization.py::TestXNNPACKQuantizer::test_conv1d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv1d_with_conv2d, test/test_quantization.py::TestXNNPACKQuantizer::test_conv2d, 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test/test_quantization.py::TestXNNPACKQuantizer::test_propagate_annotation, test/test_quantization.py::TestXNNPACKQuantizer::test_qat_dynamic_linear, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_name, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_name_with_underscores, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_type, test/test_quantization.py::TestXNNPACKQuantizer::test_set_module_type_case_2, test/test_quantization.py::TestXNNPACKQuantizerModels::test_resnet18, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_adaptive_avg_pool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_attention_block, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_avg_pool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_same_inputs, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_single_input, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_serials_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_dynamic_quant_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_conv2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_linear_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_maxpool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_serials, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_qat, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_lowering_to_x86, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_maxpool2d_recipe, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_unary, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_dynamic_quant_linear, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_case1, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_case2, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_with_mixed_configs, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig_for_dynamic_quant, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig_with_underscores, test/test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_with_mixed_configs, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_add_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_bn_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_bias_derived_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_literal_args, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_per_channel_weight_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_inplace_add_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_per_channel_weight_custom_dtype, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_preserve_source_fn_stack, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_update_shared_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_add_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_bn_node, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_bias_derived_qspec, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_literal_args, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_per_channel_weight_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_cuda, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_no_conv_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_no_bias, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_transpose_bn, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_transpose_bn_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_inplace_add_relu, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_per_channel_weight_custom_dtype, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_preserve_source_fn_stack, test/test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_update_shared_qspec, test/test_quantization.py::TestQuantizePT2EQATModels::test_qat_mobilenet_v2, test/test_quantization.py::TestQuantizePT2EQATModels::test_qat_resnet18, test/test_quantization.py::TestFXGraphMatcher::test_dict_return_type, test/test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_count, test/test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_type, test/test_quantization.py::TestFXGraphMatcher::test_methods, test/test_quantization.py::TestFXGraphMatcher::test_nodes_before_cat, test/test_quantization.py::TestFXGraphMatcher::test_nodes_with_equal_types_get_matched, test/test_quantization.py::TestFXGraphMatcher::test_op_relationship_mapping, test/test_quantization.py::TestFXGraphMatcher::test_results_order, test/test_quantization.py::TestFXGraphMatcher::test_simple_fun, test/test_quantization.py::TestFXGraphMatcher::test_simple_fusion, test/test_quantization.py::TestFXGraphMatcher::test_simple_mod, test/test_quantization.py::TestFXGraphMatcher::test_simple_mod_multi, test/test_quantization.py::TestFXGraphMatcher::test_simple_tensor_ops, test/test_quantization.py::TestFXGraphMatcher::test_user_defined_function, test/test_quantization.py::TestFXGraphMatcherModels::test_mobilenet_v2, test/test_quantization.py::TestFXGraphMatcherModels::test_mobilenet_v2_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_loggers_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_mul_inputs_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_meth_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extend_logger_results_with_comparison, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_cuda, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_fp16_shadows_fp32, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_coverage, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_simple, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_fun, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_mod, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_layer_names, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_shadow_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_vs_linear_fp16_shadow_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_weights, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_kwargs_shadow, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_loggers_preserve_qat_numerics, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_logging_inputs, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_meth_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_ptq, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_qat, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_mul_add_cat_stack_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_io_dtype_coverage, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_either_fp32_or_int8_input, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_only_kwargs_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_ops_with_same_fp32_and_int8_signature, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_activations_fqn, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_loggers_preserve_qat_numerics, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_unsupported_op_copy_skips_shadowing, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_defined_function, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module, test/test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module_scriptable, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_functions, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_fp32, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_quant, test/test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteNShadows::test_conv_bn_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_custom_functions_and_tracer, test/test_quantization.py::TestFXNumericSuiteNShadows::test_extract_weights_linear, test/test_quantization.py::TestFXNumericSuiteNShadows::test_functions, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_linear_relu_mod, test/test_quantization.py::TestFXNumericSuiteNShadows::test_logger_enabled_and_save_activations_flags, test/test_quantization.py::TestFXNumericSuiteNShadows::test_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteNShadows::test_partial_qconfig_mapping, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_deduplication, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_end_to_end, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_from_list, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_insert_padding, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_ordering, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_repr, test/test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_retroactive_padding, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_linear, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_linear, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_conv, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_linear, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_lstm_dynamic, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_mobilenet_v2, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_resnet18, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_compare_activations, test/test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_shadow, test/test_quantization.py::TestFxModelReportDetector::test_conv_sub_class_considered, test/test_quantization.py::TestFxModelReportDetector::test_fusion_layer_in_sequential, test/test_quantization.py::TestFxModelReportDetector::test_multi_linear_model_without_per_channel, test/test_quantization.py::TestFxModelReportDetector::test_multiple_q_config_options, test/test_quantization.py::TestFxModelReportDetector::test_qat_aware_model_example, test/test_quantization.py::TestFxModelReportDetector::test_sequential_model_format, test/test_quantization.py::TestFxModelReportDetector::test_simple_conv, test/test_quantization.py::TestFxModelReportObserver::test_observer_after_relu, test/test_quantization.py::TestFxModelReportObserver::test_random_epochs_and_batches, test/test_quantization.py::TestFxModelReportObserver::test_single_batch_of_ones, test/test_quantization.py::TestFxModelReportObserver::test_zero_tensor_errors, test/test_quantization.py::TestFxModelReportDetectDynamicStatic::test_nested_detection_case, test/test_quantization.py::TestFxModelReportClass::test_constructor, test/test_quantization.py::TestFxModelReportClass::test_equalization_mapping_generation, test/test_quantization.py::TestFxModelReportClass::test_generate_report, test/test_quantization.py::TestFxModelReportClass::test_generate_visualizer, test/test_quantization.py::TestFxModelReportClass::test_prepare_model_callibration, test/test_quantization.py::TestFxModelReportClass::test_qconfig_mapping_generation, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_determine_points, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen, test/test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen_empty, test/test_quantization.py::TestFxDetectOutliers::test_all_outlier_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_multiple_run_consistent_spike_outlier_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_no_outlier_report_gen, test/test_quantization.py::TestFxDetectOutliers::test_outlier_detection_determine_points, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_match_with_report, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_no_match, test/test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_single_feat_match, test/test_quantization.py::TestFxModelReportVisualizer::test_get_modules_and_features, test/test_quantization.py::TestEqualizeFx::test_input_weight_eq_observer, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_activation_values, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_branching, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_convert, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_equalization_scales, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_graphs, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_prepare, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_results, test/test_quantization.py::TestEqualizeFx::test_input_weight_equalization_weights_bias, test/test_quantization.py::TestEqualizeFx::test_selective_equalization, test/test_quantization.py::TestSerialization::test_conv2d, test/test_quantization.py::TestSerialization::test_conv2d_graph, test/test_quantization.py::TestSerialization::test_conv2d_graph_v2, test/test_quantization.py::TestSerialization::test_conv2d_graph_v3, test/test_quantization.py::TestSerialization::test_conv2d_nobias, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v2, test/test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v3, test/test_quantization.py::TestSerialization::test_conv2d_relu, test/test_quantization.py::TestSerialization::test_conv3d, test/test_quantization.py::TestSerialization::test_conv3d_relu, test/test_quantization.py::TestSerialization::test_default_qat_qconfig, test/test_quantization.py::TestSerialization::test_linear, test/test_quantization.py::TestSerialization::test_linear_dynamic, test/test_quantization.py::TestSerialization::test_linear_relu, test/test_quantization.py::TestSerialization::test_linear_relu_package_quantization_transforms, test/test_quantization.py::TestSerialization::test_lstm, test/test_quantization.py::TestSerialization::test_per_channel_observer, test/test_quantization.py::TestSerialization::test_per_tensor_observer, test/test_quantization.py::TestQuantizeJit::test_conv, test/test_quantization.py::TestQuantizeJit::test_conv_bn, test/test_quantization.py::TestQuantizeJit::test_conv_transpose, test/test_quantization.py::TestQuantizeJit::test_linear_dynamic_fp16, test/test_quantization.py::TestQuantizeJit::test_nested, test/test_quantization.py::TestQuantizeJit::test_observer_with_ignored_function, test/test_quantization.py::TestQuantizeJit::test_single_linear, test/test_quantization.py::TestQuantizeJit::test_single_linear_dynamic, test/test_quantization.py::TestQuantizeJit::test_skip_quant, test/test_quantization.py::TestQuantizeJitPasses::test_conv_trace, test/test_quantization.py::TestQuantizeJitPasses::test_convtranspose_trace, test/test_quantization.py::TestQuantizeJitPasses::test_dedup_module_uses, test/test_quantization.py::TestQuantizeJitPasses::test_finalize_debug, test/test_quantization.py::TestQuantizeJitPasses::test_finalize_for_linear, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_complex_cases, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_no_fusion, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_shared_classtype, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial, test/test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial_nobias, test/test_quantization.py::TestQuantizeJitPasses::test_fuse_linear, test/test_quantization.py::TestQuantizeJitPasses::test_inplace_option, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_child_qconfig, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_general_ops, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if_consistent_observation, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_nested_if, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_reused_weight, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface_unshare_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_for_function, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_in_submodule, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_shared_class_type, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_skip_values, test/test_quantization.py::TestQuantizeJitPasses::test_insert_observers_weight_dtype, test/test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant, test/test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant_shared_class_type, test/test_quantization.py::TestQuantizeJitPasses::test_interface_with_fork, test/test_quantization.py::TestQuantizeJitPasses::test_module_list, test/test_quantization.py::TestQuantizeJitPasses::test_quantize_fork_wait, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequant_same_value, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize_in_block, test/test_quantization.py::TestQuantizeJitPasses::test_replicate_quantize_for_if, test/test_quantization.py::TestQuantizeJitPasses::test_skip_dequant_constant_prop, test/test_quantization.py::TestQuantizeJitPasses::test_swap_functional_linear, test/test_quantization.py::TestQuantizeJitOps::test_cat_linear, test/test_quantization.py::TestQuantizeJitOps::test_clamp, test/test_quantization.py::TestQuantizeJitOps::test_conv_with_benchmark_flag, test/test_quantization.py::TestQuantizeJitOps::test_dequantize_tuple, test/test_quantization.py::TestQuantizeJitOps::test_elu, test/test_quantization.py::TestQuantizeJitOps::test_general_shape_ops, test/test_quantization.py::TestQuantizeJitOps::test_general_value_ops, test/test_quantization.py::TestQuantizeJitOps::test_group_norm, test/test_quantization.py::TestQuantizeJitOps::test_hardswish, test/test_quantization.py::TestQuantizeJitOps::test_instance_norm, test/test_quantization.py::TestQuantizeJitOps::test_layer_norm, test/test_quantization.py::TestQuantizeJitOps::test_linear, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncInplaceRelu, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncRelu, test/test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNRelu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu_alpha, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar, test/test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_cat, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv, test/test_quantization.py::TestQuantizeJitOps::test_quantized_conv_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_relu, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar, test/test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar_relu, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_convert_dynamic_fp16, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_multi_op, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_quant_multi_uses, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_shared_weights, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_weight_observer, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_with_if, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_insert_quant_dequant_linear_dynamic, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic_child_qconfig, test/test_quantization.py::TestQuantizeDynamicJitPasses::test_quantize_dynamic_fp16, test/test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag, test/test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag_padding_idx_error, test/test_quantization.py::TestQuantizeDynamicJitOps::test_linear, test/test_quantization.py::TestFusionPasses::test_quantized_add_relu_fusion, test/test_quantization.py::TestDeprecatedJitQuantized::test_erase_class_tensor_shapes, test/test_quantization.py::TestDeprecatedJitQuantized::test_rnn_cell_quantized, test/test_quantization.py::TestDeprecatedJitQuantized::test_rnn_quantized, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fake_quantize, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuse_modules, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_fuser_method_mappings, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_observer, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_qconfig, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quant_type, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantization_mappings, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize_jit, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_stubs, test/test_quantization.py::TestAOMigrationQuantization::test_function_import_utils, test/test_quantization.py::TestAOMigrationNNQuantized::test_functional_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_conv, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_dynamic_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_embedding_ops, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_rnn, test/test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantized_dynamic_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_activation, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_batchnorm, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_conv, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_dropout, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_embedding_ops, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_functional_modules, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_import, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_linear, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_normalization, test/test_quantization.py::TestAOMigrationNNQuantized::test_modules_utils, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_qat, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_quantized, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_conv_fused, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_fused, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_bn_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_conv_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_linear_relu, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_nn_intrinsic_fused, test/test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_no_import_nn_intrinsic_quantized_dynamic, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_convert, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_equalize, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fuse, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fusion_patterns, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_graph_module, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_match_utils, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_pattern_utils, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_prepare, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_quantization_patterns, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_utils, test/test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_quantize_fx, test/test_quantization.py::TestBitsCPU::test_cat_cpu, test/test_quantization.py::TestBitsCPU::test_subclass_cpu, test/test_quantization.py::TestBitsCPU::test_types_cpu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_float8_e8m0fnu_rne_rounding_cpu, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2fnuz, test/test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e8m0fnu, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e4m3fn, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e5m2, test/test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e8m0fnu
2025-09-07T07:28:26.7493250Z 
2025-09-07T07:28:26.7493720Z test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool <- test/quantization/core/test_quantized_op.py SKIPPED [0.0003s] (not currently working and feature isn't used) [  0%]
2025-09-07T07:28:26.7494520Z test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool2d_nhwc <- test/quantization/core/test_quantized_op.py PASSED [0.0232s] [  0%]
2025-09-07T07:28:26.7495210Z test_quantization.py::TestQuantizedOps::test_adaptive_avg_pool3d_ndhwc <- test/quantization/core/test_quantized_op.py PASSED [0.0222s] [  0%]
2025-09-07T07:28:26.7495930Z test_quantization.py::TestQuantizedOps::test_add_scalar_relu <- test/quantization/core/test_quantized_op.py SKIPPED [0.0002s] (skipping macos test) [  0%]
2025-09-07T07:28:26.7496640Z test_quantization.py::TestQuantizedOps::test_advanced_indexing <- test/quantization/core/test_quantized_op.py PASSED [0.0019s] [  0%]
2025-09-07T07:28:26.7497290Z test_quantization.py::TestQuantizedOps::test_avg_pool2d <- test/quantization/core/test_quantized_op.py PASSED [0.2212s] [  0%]
2025-09-07T07:28:26.7497940Z test_quantization.py::TestQuantizedOps::test_avg_pool2d_nhwc <- test/quantization/core/test_quantized_op.py PASSED [0.5154s] [  0%]
2025-09-07T07:28:26.7498580Z test_quantization.py::TestQuantizedOps::test_avg_pool3d <- test/quantization/core/test_quantized_op.py PASSED [1.2717s] [  0%]
2025-09-07T07:28:26.7499210Z test_quantization.py::TestQuantizedOps::test_avg_pool3d_nhwc <- test/quantization/core/test_quantized_op.py PASSED [1.0376s] [  0%]
2025-09-07T07:28:26.7500130Z test_quantization.py::TestQuantizedOps::test_batch_norm <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  0%]
2025-09-07T07:28:26.7501340Z test_quantization.py::TestQuantizedOps::test_batch_norm_relu <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  0%]
2025-09-07T07:28:26.7502450Z test_quantization.py::TestQuantizedOps::test_cat <- test/quantization/core/test_quantized_op.py PASSED [0.0940s] [  0%]
2025-09-07T07:28:26.7503080Z test_quantization.py::TestQuantizedOps::test_cat_nhwc <- test/quantization/core/test_quantized_op.py PASSED [0.1448s] [  0%]
2025-09-07T07:28:26.7503710Z test_quantization.py::TestQuantizedOps::test_channel_shuffle <- test/quantization/core/test_quantized_op.py PASSED [0.3470s] [  1%]
2025-09-07T07:28:26.7504660Z test_quantization.py::TestQuantizedOps::test_custom_module_lstm <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0002s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [  1%]
2025-09-07T07:28:26.7505790Z test_quantization.py::TestQuantizedOps::test_custom_module_multi_head_attention <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [  1%]
2025-09-07T07:28:26.7506820Z test_quantization.py::TestQuantizedOps::test_empty_batch <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [  1%]
2025-09-07T07:28:26.7507650Z test_quantization.py::TestQuantizedOps::test_equal <- test/quantization/core/test_quantized_op.py PASSED [0.0971s] [  1%]
2025-09-07T07:28:26.7508400Z test_quantization.py::TestQuantizedOps::test_group_norm <- test/quantization/core/test_quantized_op.py SKIPPED [0.0002s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [  1%]
2025-09-07T07:28:26.7509300Z test_quantization.py::TestQuantizedOps::test_hardswish <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [  1%]
2025-09-07T07:28:26.7510340Z test_quantization.py::TestQuantizedOps::test_hardtanh <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  1%]
2025-09-07T07:28:26.7511610Z test_quantization.py::TestQuantizedOps::test_instance_norm <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  1%]
2025-09-07T07:28:26.7512620Z test_quantization.py::TestQuantizedOps::test_int8_add_onednn <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  1%]
2025-09-07T07:28:26.7513460Z test_quantization.py::TestQuantizedOps::test_int8_batch_norm_onednn <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  1%]
2025-09-07T07:28:26.7514300Z test_quantization.py::TestQuantizedOps::test_int8_mul_onednn <- test/quantization/core/test_quantized_op.py SKIPPED [0.0009s] (Quantized operations require ONEDNN.) [  1%]
2025-09-07T07:28:26.7515030Z test_quantization.py::TestQuantizedOps::test_interpolate <- test/quantization/core/test_quantized_op.py PASSED [0.9603s] [  1%]
2025-09-07T07:28:26.7515680Z test_quantization.py::TestQuantizedOps::test_interpolate3d <- test/quantization/core/test_quantized_op.py PASSED [3.4399s] [  2%]
2025-09-07T07:28:26.7516310Z test_quantization.py::TestQuantizedOps::test_leaky_relu <- test/quantization/core/test_quantized_op.py PASSED [0.0072s] [  2%]
2025-09-07T07:28:26.7517110Z test_quantization.py::TestQuantizedOps::test_leaky_relu_observed_output <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [  2%]
2025-09-07T07:28:26.7518070Z test_quantization.py::TestQuantizedOps::test_linear_bias_unpack <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [  2%]
2025-09-07T07:28:26.7518840Z test_quantization.py::TestQuantizedOps::test_max_pool1d <- test/quantization/core/test_quantized_op.py PASSED [0.1166s] [  2%]
2025-09-07T07:28:26.7519570Z test_quantization.py::TestQuantizedOps::test_max_pool2d <- test/quantization/core/test_quantized_op.py PASSED [0.2456s] [  2%]
2025-09-07T07:28:26.7520490Z test_quantization.py::TestQuantizedOps::test_max_pool2d_cudnn <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0508s] (cudnn is not enabled.) [  2%]
2025-09-07T07:28:26.7521390Z test_quantization.py::TestQuantizedOps::test_max_pool2d_nhwc <- test/quantization/core/test_quantized_op.py PASSED [0.2906s] [  2%]
2025-09-07T07:28:26.7522030Z test_quantization.py::TestQuantizedOps::test_max_pool2d_pt2e <- test/quantization/core/test_quantized_op.py PASSED [0.0036s] [  2%]
2025-09-07T07:28:26.7522660Z test_quantization.py::TestQuantizedOps::test_max_pool3d <- test/quantization/core/test_quantized_op.py PASSED [0.0091s] [  2%]
2025-09-07T07:28:26.7523280Z test_quantization.py::TestQuantizedOps::test_max_pool3d_nhwc <- test/quantization/core/test_quantized_op.py PASSED [0.1100s] [  2%]
2025-09-07T07:28:26.7524090Z test_quantization.py::TestQuantizedOps::test_mean <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [  2%]
2025-09-07T07:28:26.7524960Z test_quantization.py::TestQuantizedOps::test_mul_scalar_relu <- test/quantization/core/test_quantized_op.py SKIPPED [0.0002s] (skipping macos test) [  2%]
2025-09-07T07:28:26.7526550Z test_quantization.py::TestQuantizedOps::test_qadd_broadcast <- test/quantization/core/test_quantized_op.py [W907 07:22:30.194995000 Resize.cpp:38] Warning: An output with one or more elements was resized since it had shape [1, 1, 4, 4], which does not match the required output shape [2, 1, 4, 4]. This behavior is deprecated, and in a future PyTorch release outputs will not be resized unless they have zero elements. You can explicitly reuse an out tensor t by resizing it, inplace, to zero elements with t.resize_(0). (function _resize_output_check)
2025-09-07T07:28:26.7527890Z PASSED [0.0009s] [  2%]
2025-09-07T07:28:26.7528350Z test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (cudnn is not enabled.) [  3%]
2025-09-07T07:28:26.7529120Z test_quantization.py::TestQuantizedOps::test_qadd_relu_cudnn_nhwc <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (cudnn is not enabled.) [  3%]
2025-09-07T07:28:26.7529860Z test_quantization.py::TestQuantizedOps::test_qadd_relu_different_qparams <- test/quantization/core/test_quantized_op.py PASSED [0.0018s] [  3%]
2025-09-07T07:28:26.7530550Z test_quantization.py::TestQuantizedOps::test_qadd_relu_same_qparams <- test/quantization/core/test_quantized_op.py PASSED [0.0014s] [  3%]
2025-09-07T07:28:26.7531190Z test_quantization.py::TestQuantizedOps::test_qcelu <- test/quantization/core/test_quantized_op.py PASSED [0.0688s] [  3%]
2025-09-07T07:28:26.7531790Z test_quantization.py::TestQuantizedOps::test_qclamp <- test/quantization/core/test_quantized_op.py PASSED [0.3232s] [  3%]
2025-09-07T07:28:26.7532390Z test_quantization.py::TestQuantizedOps::test_qelu <- test/quantization/core/test_quantized_op.py PASSED [0.0749s] [  3%]
2025-09-07T07:28:26.7532980Z test_quantization.py::TestQuantizedOps::test_qgelu <- test/quantization/core/test_quantized_op.py PASSED [0.0155s] [  3%]
2025-09-07T07:28:26.7533740Z test_quantization.py::TestQuantizedOps::test_qhardsigmoid <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [  3%]
2025-09-07T07:28:26.7534790Z test_quantization.py::TestQuantizedOps::test_qlayer_norm <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  3%]
2025-09-07T07:28:26.7535690Z test_quantization.py::TestQuantizedOps::test_qmatmul <- test/quantization/core/test_quantized_op.py PASSED [0.0255s] [  3%]
2025-09-07T07:28:26.7536480Z test_quantization.py::TestQuantizedOps::test_qmul_broadcast <- test/quantization/core/test_quantized_op.py PASSED [0.0008s] [  3%]
2025-09-07T07:28:26.7537190Z test_quantization.py::TestQuantizedOps::test_qmul_relu_different_qparams <- test/quantization/core/test_quantized_op.py PASSED [0.0016s] [  3%]
2025-09-07T07:28:26.7537880Z test_quantization.py::TestQuantizedOps::test_qmul_relu_same_qparams <- test/quantization/core/test_quantized_op.py PASSED [0.1170s] [  4%]
2025-09-07T07:28:26.7538520Z test_quantization.py::TestQuantizedOps::test_qprelu <- test/quantization/core/test_quantized_op.py PASSED [0.0158s] [  4%]
2025-09-07T07:28:26.7539260Z test_quantization.py::TestQuantizedOps::test_qrelu <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [  4%]
2025-09-07T07:28:26.7540000Z test_quantization.py::TestQuantizedOps::test_qrelu6 <- test/quantization/core/test_quantized_op.py PASSED [0.0759s] [  4%]
2025-09-07T07:28:26.7540710Z test_quantization.py::TestQuantizedOps::test_qsoftmax <- test/quantization/core/test_quantized_op.py PASSED [0.0432s] [  4%]
2025-09-07T07:28:26.7551830Z test_quantization.py::TestQuantizedOps::test_qsoftmax_qnnpack <- test/quantization/core/test_quantized_op.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/157243 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [  4%]
2025-09-07T07:28:26.7554610Z test_quantization.py::TestQuantizedOps::test_qtanh <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0029s] (this is broken without changes to any relevant code, we need to remove hypothesis testing in CI) [  4%]
2025-09-07T07:28:26.7555970Z test_quantization.py::TestQuantizedOps::test_qthreshold <- test/quantization/core/test_quantized_op.py PASSED [0.0583s] [  4%]
2025-09-07T07:28:26.7556810Z test_quantization.py::TestQuantizedOps::test_qtopk <- test/quantization/core/test_quantized_op.py PASSED [0.0163s] [  4%]
2025-09-07T07:28:26.7557440Z test_quantization.py::TestQuantizedOps::test_quantized_equal <- test/quantization/core/test_quantized_op.py PASSED [0.0007s] [  4%]
2025-09-07T07:28:26.7558790Z test_quantization.py::TestQuantizedOps::test_quantized_mean_qnnpack <- test/quantization/core/test_quantized_op.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/157255 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [  4%]
2025-09-07T07:28:26.7560380Z test_quantization.py::TestQuantizedOps::test_sigmoid <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  4%]
2025-09-07T07:28:26.7561610Z test_quantization.py::TestQuantizedOps::test_sigmoid_dequantize_rounding_error <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  4%]
2025-09-07T07:28:26.7562740Z test_quantization.py::TestQuantizedOps::test_sigmoid_non_observed <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [  5%]
2025-09-07T07:28:26.7563800Z test_quantization.py::TestQuantizedOps::test_std <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0002s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [  5%]
2025-09-07T07:28:26.7565030Z test_quantization.py::TestQNNPackOps::test_adaptive_avg_pool2d <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-09-07T07:28:26.7566010Z test_quantization.py::TestQNNPackOps::test_avg_pool2d <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-09-07T07:28:26.7566940Z test_quantization.py::TestQNNPackOps::test_hardtanh <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-09-07T07:28:26.7567850Z test_quantization.py::TestQNNPackOps::test_mean <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-09-07T07:28:26.7568770Z test_quantization.py::TestQNNPackOps::test_qnnpack_add <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-09-07T07:28:26.7569810Z test_quantization.py::TestQNNPackOps::test_qnnpack_add_broadcast <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-09-07T07:28:26.7570860Z test_quantization.py::TestQNNPackOps::test_qnnpack_maxpool2d <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-09-07T07:28:26.7571810Z test_quantization.py::TestQNNPackOps::test_qnnpack_mul <- test/quantization/core/test_quantized_op.py SKIPPED [0.0003s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-09-07T07:28:26.7572760Z test_quantization.py::TestQNNPackOps::test_qnnpack_relu <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-09-07T07:28:26.7573710Z test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-09-07T07:28:26.7574770Z test_quantization.py::TestQNNPackOps::test_qnnpack_sigmoid_sweep <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-09-07T07:28:26.7575730Z test_quantization.py::TestQNNPackOps::test_qnnpack_tanh <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (This Pytorch Build has not been built with or does not support QNNPACK) [  5%]
2025-09-07T07:28:26.7576660Z test_quantization.py::TestQuantizedLinear::test_qlinear <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [  6%]
2025-09-07T07:28:26.7577540Z test_quantization.py::TestQuantizedLinear::test_qlinear_add_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  6%]
2025-09-07T07:28:26.7578390Z test_quantization.py::TestQuantizedLinear::test_qlinear_add_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  6%]
2025-09-07T07:28:26.7579250Z test_quantization.py::TestQuantizedLinear::test_qlinear_add_relu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [  6%]
2025-09-07T07:28:26.7580110Z test_quantization.py::TestQuantizedLinear::test_qlinear_add_relu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  6%]
2025-09-07T07:28:26.7581310Z test_quantization.py::TestQuantizedLinear::test_qlinear_cudnn <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0033s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  6%]
2025-09-07T07:28:26.7582630Z test_quantization.py::TestQuantizedLinear::test_qlinear_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  6%]
2025-09-07T07:28:26.7583500Z test_quantization.py::TestQuantizedLinear::test_qlinear_gelu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [  6%]
2025-09-07T07:28:26.7584360Z test_quantization.py::TestQuantizedLinear::test_qlinear_gelu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  6%]
2025-09-07T07:28:26.7585210Z test_quantization.py::TestQuantizedLinear::test_qlinear_leaky_relu <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  6%]
2025-09-07T07:28:26.7586060Z test_quantization.py::TestQuantizedLinear::test_qlinear_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  6%]
2025-09-07T07:28:26.7587070Z test_quantization.py::TestQuantizedLinear::test_qlinear_qnnpack_free_memory_and_unpack <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0462s] [  6%]
2025-09-07T07:28:26.7588130Z test_quantization.py::TestQuantizedLinear::test_qlinear_relu <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [  6%]
2025-09-07T07:28:26.7589020Z test_quantization.py::TestQuantizedLinear::test_qlinear_relu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  7%]
2025-09-07T07:28:26.7589870Z test_quantization.py::TestQuantizedLinear::test_qlinear_relu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  7%]
2025-09-07T07:28:26.7590710Z test_quantization.py::TestQuantizedLinear::test_qlinear_sum_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  7%]
2025-09-07T07:28:26.7591640Z test_quantization.py::TestQuantizedLinear::test_qlinear_sum_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  7%]
2025-09-07T07:28:26.7592500Z test_quantization.py::TestQuantizedLinear::test_qlinear_sum_relu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [  7%]
2025-09-07T07:28:26.7593370Z test_quantization.py::TestQuantizedLinear::test_qlinear_sum_relu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  7%]
2025-09-07T07:28:26.7594220Z test_quantization.py::TestQuantizedLinear::test_qlinear_tanh <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  7%]
2025-09-07T07:28:26.7595110Z test_quantization.py::TestQuantizedLinear::test_qlinear_unpack <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0376s] [  7%]
2025-09-07T07:28:26.7596420Z test_quantization.py::TestQuantizedLinear::test_qlinear_with_input_q_dq_qweight_dq_output_fp32 <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0036s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  7%]
2025-09-07T07:28:26.7597900Z test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  7%]
2025-09-07T07:28:26.7599190Z test_quantization.py::TestQuantizedLinear::test_wrapped_quantized_linear_prepacked <- test/quantization/core/test_quantized_op.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  7%]
2025-09-07T07:28:26.7600430Z test_quantization.py::TestQuantizedConv::test_benchmark <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (used for local benchmarking, comment when we want to run it) [  7%]
2025-09-07T07:28:26.7601260Z test_quantization.py::TestQuantizedConv::test_conv_reorder_issue_onednn <- test/quantization/core/test_quantized_op.py PASSED [0.0007s] [  7%]
2025-09-07T07:28:26.7602080Z test_quantization.py::TestQuantizedConv::test_conv_transpose_reorder_issue_onednn <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  7%]
2025-09-07T07:28:26.7602990Z test_quantization.py::TestQuantizedConv::test_qconv1d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0321s] [  8%]
2025-09-07T07:28:26.7604250Z test_quantization.py::TestQuantizedConv::test_qconv1d_cudnn <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0031s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  8%]
2025-09-07T07:28:26.7605460Z test_quantization.py::TestQuantizedConv::test_qconv1d_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  8%]
2025-09-07T07:28:26.7606270Z test_quantization.py::TestQuantizedConv::test_qconv1d_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  8%]
2025-09-07T07:28:26.7607140Z test_quantization.py::TestQuantizedConv::test_qconv1d_relu <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0316s] [  8%]
2025-09-07T07:28:26.7608370Z test_quantization.py::TestQuantizedConv::test_qconv1d_relu_cudnn <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0030s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  8%]
2025-09-07T07:28:26.7609600Z test_quantization.py::TestQuantizedConv::test_qconv1d_relu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  8%]
2025-09-07T07:28:26.7610440Z test_quantization.py::TestQuantizedConv::test_qconv1d_relu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  8%]
2025-09-07T07:28:26.7611330Z test_quantization.py::TestQuantizedConv::test_qconv1d_unpack <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.2097s] [  8%]
2025-09-07T07:28:26.7612240Z test_quantization.py::TestQuantizedConv::test_qconv2d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0338s] [  8%]
2025-09-07T07:28:26.7613090Z test_quantization.py::TestQuantizedConv::test_qconv2d_add <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  8%]
2025-09-07T07:28:26.7613930Z test_quantization.py::TestQuantizedConv::test_qconv2d_add_relu <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  8%]
2025-09-07T07:28:26.7615100Z test_quantization.py::TestQuantizedConv::test_qconv2d_cudnn <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0031s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  8%]
2025-09-07T07:28:26.7616250Z test_quantization.py::TestQuantizedConv::test_qconv2d_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0009s] (Quantized operations require ONEDNN.) [  9%]
2025-09-07T07:28:26.7617090Z test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  9%]
2025-09-07T07:28:26.7618100Z test_quantization.py::TestQuantizedConv::test_qconv2d_hardswish_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  9%]
2025-09-07T07:28:26.7619000Z test_quantization.py::TestQuantizedConv::test_qconv2d_hardtanh_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  9%]
2025-09-07T07:28:26.7619850Z test_quantization.py::TestQuantizedConv::test_qconv2d_hardtanh_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  9%]
2025-09-07T07:28:26.7620690Z test_quantization.py::TestQuantizedConv::test_qconv2d_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  9%]
2025-09-07T07:28:26.7621570Z test_quantization.py::TestQuantizedConv::test_qconv2d_relu <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0343s] [  9%]
2025-09-07T07:28:26.7622990Z test_quantization.py::TestQuantizedConv::test_qconv2d_relu_cudnn <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0031s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [  9%]
2025-09-07T07:28:26.7624300Z test_quantization.py::TestQuantizedConv::test_qconv2d_relu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  9%]
2025-09-07T07:28:26.7625140Z test_quantization.py::TestQuantizedConv::test_qconv2d_relu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  9%]
2025-09-07T07:28:26.7625980Z test_quantization.py::TestQuantizedConv::test_qconv2d_sum_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [  9%]
2025-09-07T07:28:26.7626810Z test_quantization.py::TestQuantizedConv::test_qconv2d_sum_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  9%]
2025-09-07T07:28:26.7627760Z test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_float_output_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [  9%]
2025-09-07T07:28:26.7628640Z test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [ 10%]
2025-09-07T07:28:26.7629490Z test_quantization.py::TestQuantizedConv::test_qconv2d_sum_relu_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [ 10%]
2025-09-07T07:28:26.7630340Z test_quantization.py::TestQuantizedConv::test_qconv2d_swish_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [ 10%]
2025-09-07T07:28:26.7631190Z test_quantization.py::TestQuantizedConv::test_qconv2d_swish_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [ 10%]
2025-09-07T07:28:26.7632080Z test_quantization.py::TestQuantizedConv::test_qconv2d_unpack <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.1352s] [ 10%]
2025-09-07T07:28:26.7632850Z test_quantization.py::TestQuantizedConv::test_qconv3d <- test/quantization/core/test_quantized_op.py PASSED [0.0386s] [ 10%]
2025-09-07T07:28:26.7633570Z test_quantization.py::TestQuantizedConv::test_qconv3d_fp8 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [ 10%]
2025-09-07T07:28:26.7634380Z test_quantization.py::TestQuantizedConv::test_qconv3d_pt2e <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [ 10%]
2025-09-07T07:28:26.7635220Z test_quantization.py::TestQuantizedConv::test_qconv3d_relu <- test/quantization/core/test_quantized_op.py PASSED [0.0378s] [ 10%]
2025-09-07T07:28:26.7636030Z test_quantization.py::TestQuantizedConv::test_qconv3d_unpack <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.1300s] [ 10%]
2025-09-07T07:28:26.7636960Z test_quantization.py::TestQuantizedConv::test_qconv_transpose1d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 10%]
2025-09-07T07:28:26.7637890Z test_quantization.py::TestQuantizedConv::test_qconv_transpose2d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0350s] [ 10%]
2025-09-07T07:28:26.7638840Z test_quantization.py::TestQuantizedConv::test_qconv_transpose3d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0400s] [ 10%]
2025-09-07T07:28:26.7639860Z test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv1d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 10%]
2025-09-07T07:28:26.7640880Z test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv2d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 11%]
2025-09-07T07:28:26.7641830Z test_quantization.py::TestDynamicQuantizedOps::test_dynamic_conv3d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 11%]
2025-09-07T07:28:26.7642810Z test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose1d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 11%]
2025-09-07T07:28:26.7643830Z test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose2d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 11%]
2025-09-07T07:28:26.7644900Z test_quantization.py::TestDynamicQuantizedOps::test_dynamic_convtranspose3d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 11%]
2025-09-07T07:28:26.7645870Z test_quantization.py::TestDynamicQuantizedOps::test_linear_dynamic_fp16_onednn <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [ 11%]
2025-09-07T07:28:26.7646990Z test_quantization.py::TestDynamicQuantizedOps::test_linear_prepack_fp16_numerics <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 11%]
2025-09-07T07:28:26.7648120Z test_quantization.py::TestDynamicQuantizedOps::test_qlinear <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 11%]
2025-09-07T07:28:26.7649220Z test_quantization.py::TestDynamicQuantizedOps::test_qlinear_dynamic_fp16 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0006s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 11%]
2025-09-07T07:28:26.7650480Z test_quantization.py::TestDynamicQuantizedOps::test_qlinear_legacy <- test/quantization/core/test_quantized_op.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 11%]
2025-09-07T07:28:26.7651560Z test_quantization.py::TestDynamicQuantizedOps::test_qlstmGRU <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0156s] [ 11%]
2025-09-07T07:28:26.7652750Z test_quantization.py::TestDynamicQuantizedOps::test_qrnncell <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0002s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 11%]
2025-09-07T07:28:26.7654070Z test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 11%]
2025-09-07T07:28:26.7655400Z test_quantization.py::TestDynamicQuantizedOps::test_unpacked_qlinear_dynamic_fp16_opcheck <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 12%]
2025-09-07T07:28:26.7656720Z test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_linear_fp16 <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 12%]
2025-09-07T07:28:26.7658140Z test_quantization.py::TestDynamicQuantizedOps::test_wrapped_fbgemm_pack_gemm_matrix_fp16_pt2_compliant <- test/quantization/core/test_quantized_op.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 12%]
2025-09-07T07:28:26.7659260Z test_quantization.py::TestComparatorOps::test_compare_tensor_scalar <- test/quantization/core/test_quantized_op.py PASSED [0.2189s] [ 12%]
2025-09-07T07:28:26.7659940Z test_quantization.py::TestComparatorOps::test_compare_tensor_tensor <- test/quantization/core/test_quantized_op.py PASSED [0.1032s] [ 12%]
2025-09-07T07:28:26.7660590Z test_quantization.py::TestPadding::test_constant_padNd <- test/quantization/core/test_quantized_op.py PASSED [0.2454s] [ 12%]
2025-09-07T07:28:26.7661210Z test_quantization.py::TestPadding::test_reflection_pad1d <- test/quantization/core/test_quantized_op.py PASSED [0.1462s] [ 12%]
2025-09-07T07:28:26.7661830Z test_quantization.py::TestPadding::test_reflection_pad2d <- test/quantization/core/test_quantized_op.py PASSED [9.1089s] [ 12%]
2025-09-07T07:28:26.7662620Z test_quantization.py::TestQuantizedEmbeddingOps::test_embedding <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (Known test failure on Mac.) [ 12%]
2025-09-07T07:28:26.7663460Z test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_2d_indices <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (Known test failure on Mac.) [ 12%]
2025-09-07T07:28:26.7664320Z test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2bit <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (Known test failure on Mac.) [ 12%]
2025-09-07T07:28:26.7665190Z test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_2d_indices <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (Known test failure on Mac.) [ 12%]
2025-09-07T07:28:26.7666060Z test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_4bit <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (Known test failure on Mac.) [ 12%]
2025-09-07T07:28:26.7666910Z test_quantization.py::TestQuantizedEmbeddingOps::test_embedding_bag_byte <- test/quantization/core/test_quantized_op.py SKIPPED [0.0001s] (Known test failure on Mac.) [ 13%]
2025-09-07T07:28:26.7668390Z test_quantization.py::TestQuantizedFunctionalOps::test_conv1d_api <- test/quantization/core/test_quantized_functional.py SKIPPED [0.0003s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/157296 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 13%]
2025-09-07T07:28:26.7669840Z test_quantization.py::TestQuantizedFunctionalOps::test_conv2d_api <- test/quantization/core/test_quantized_functional.py ('RERUN', {'yellow': True}) [0.0158s] [ 13%]
2025-09-07T07:28:26.7670710Z test_quantization.py::TestQuantizedFunctionalOps::test_conv2d_api <- test/quantization/core/test_quantized_functional.py PASSED [0.0623s] [ 13%]
2025-09-07T07:28:26.7671450Z test_quantization.py::TestQuantizedFunctionalOps::test_conv3d_api <- test/quantization/core/test_quantized_functional.py PASSED [0.0414s] [ 13%]
2025-09-07T07:28:26.7672170Z test_quantization.py::TestQuantizedFunctionalOps::test_grid_sample <- test/quantization/core/test_quantized_functional.py PASSED [0.0285s] [ 13%]
2025-09-07T07:28:26.7672900Z test_quantization.py::TestQuantizedFunctionalOps::test_relu_api <- test/quantization/core/test_quantized_functional.py PASSED [0.0010s] [ 13%]
2025-09-07T07:28:26.7674020Z test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0059s] (this is broken without changes to any relevant code, we need to remove hypothesis testing in CI) [ 13%]
2025-09-07T07:28:26.7675210Z test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cpu <- test/quantization/core/test_workflow_ops.py PASSED [0.0058s] [ 13%]
2025-09-07T07:28:26.7676080Z test_quantization.py::TestFakeQuantizeOps::test_backward_per_channel_cachemask_cuda <- test/quantization/core/test_workflow_ops.py SKIPPED [0.0001s] (No gpu is not available.) [ 13%]
2025-09-07T07:28:26.7677130Z test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0031s] (temporarily disable the test) [ 13%]
2025-09-07T07:28:26.7678110Z test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor_cachemask_cpu <- test/quantization/core/test_workflow_ops.py PASSED [0.0040s] [ 13%]
2025-09-07T07:28:26.7678920Z test_quantization.py::TestFakeQuantizeOps::test_backward_per_tensor_cachemask_cuda <- test/quantization/core/test_workflow_ops.py SKIPPED [0.0001s] (No gpu is not available.) [ 13%]
2025-09-07T07:28:26.7679750Z test_quantization.py::TestFakeQuantizeOps::test_fake_quant_control <- test/quantization/core/test_workflow_ops.py PASSED [0.0039s] [ 13%]
2025-09-07T07:28:26.7680460Z test_quantization.py::TestFakeQuantizeOps::test_fake_quant_per_channel_qparam_range <- test/quantization/core/test_workflow_ops.py PASSED [0.0641s] [ 13%]
2025-09-07T07:28:26.7681250Z test_quantization.py::TestFakeQuantizeOps::test_fake_quant_preserves_qparam_shapes_for_activations <- test/quantization/core/test_workflow_ops.py PASSED [0.0028s] [ 14%]
2025-09-07T07:28:26.7682060Z test_quantization.py::TestFakeQuantizeOps::test_fake_quantize_per_channel_affine_scale_dtypes <- test/quantization/core/test_workflow_ops.py PASSED [0.0010s] [ 14%]
2025-09-07T07:28:26.7682840Z test_quantization.py::TestFakeQuantizeOps::test_fake_quantize_per_tensor_affine_inf <- test/quantization/core/test_workflow_ops.py PASSED [0.0033s] [ 14%]
2025-09-07T07:28:26.7683570Z test_quantization.py::TestFakeQuantizeOps::test_fixed_qparams_fq_module <- test/quantization/core/test_workflow_ops.py PASSED [0.0685s] [ 14%]
2025-09-07T07:28:26.7684310Z test_quantization.py::TestFakeQuantizeOps::test_forward_backward_per_tensor_with_amp <- test/quantization/core/test_workflow_ops.py PASSED [0.0037s] [ 14%]
2025-09-07T07:28:26.7685030Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel <- test/quantization/core/test_workflow_ops.py PASSED [0.0636s] [ 14%]
2025-09-07T07:28:26.7685740Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_cachemask_cpu <- test/quantization/core/test_workflow_ops.py PASSED [0.0065s] [ 14%]
2025-09-07T07:28:26.7686550Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_cachemask_cuda <- test/quantization/core/test_workflow_ops.py SKIPPED [0.0001s] (No gpu is not available.) [ 14%]
2025-09-07T07:28:26.7687400Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_channel_half_precision_numerics <- test/quantization/core/test_workflow_ops.py PASSED [0.0038s] [ 14%]
2025-09-07T07:28:26.7688270Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor <- test/quantization/core/test_workflow_ops.py PASSED [0.0492s] [ 14%]
2025-09-07T07:28:26.7688990Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_cachemask_cpu <- test/quantization/core/test_workflow_ops.py PASSED [0.0052s] [ 14%]
2025-09-07T07:28:26.7689800Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_cachemask_cuda <- test/quantization/core/test_workflow_ops.py SKIPPED [0.0001s] (No gpu is not available.) [ 14%]
2025-09-07T07:28:26.7690630Z test_quantization.py::TestFakeQuantizeOps::test_forward_per_tensor_half_precision_numerics <- test/quantization/core/test_workflow_ops.py PASSED [0.0021s] [ 14%]
2025-09-07T07:28:26.7691360Z test_quantization.py::TestFakeQuantizeOps::test_fq_module_per_tensor <- test/quantization/core/test_workflow_ops.py PASSED [0.0653s] [ 15%]
2025-09-07T07:28:26.7692130Z test_quantization.py::TestFakeQuantizeOps::test_fq_serializable_per_tensor <- test/quantization/core/test_workflow_ops.py PASSED [0.0064s] [ 15%]
2025-09-07T07:28:26.7693340Z test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_channel_cpu <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0036s] (this is broken without changes to any relevant code, we need to remove hypothesis testing in CI) [ 15%]
2025-09-07T07:28:26.7694770Z test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_channel_cuda <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0027s] (No gpu is not available.) [ 15%]
2025-09-07T07:28:26.7695790Z test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cpu <- test/quantization/core/test_workflow_ops.py PASSED [0.1162s] [ 15%]
2025-09-07T07:28:26.7696800Z test_quantization.py::TestFakeQuantizeOps::test_learnable_backward_per_tensor_cuda <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0028s] (No gpu is not available.) [ 15%]
2025-09-07T07:28:26.7698570Z test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_channel_cpu <- test/quantization/core/test_workflow_ops.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/107155 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 15%]
2025-09-07T07:28:26.7700240Z test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_channel_cuda <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0035s] (No gpu is not available.) [ 15%]
2025-09-07T07:28:26.7701660Z test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cpu <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0029s] (this is broken without changes to any relevant code, we need to remove hypothesis testing in CI) [ 15%]
2025-09-07T07:28:26.7703070Z test_quantization.py::TestFakeQuantizeOps::test_learnable_forward_per_tensor_cuda <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0030s] (No gpu is not available.) [ 15%]
2025-09-07T07:28:26.7704080Z test_quantization.py::TestFakeQuantizeOps::test_numerical_consistency_per_channel <- test/quantization/core/test_workflow_ops.py PASSED [0.0261s] [ 15%]
2025-09-07T07:28:26.7704830Z test_quantization.py::TestFakeQuantizeOps::test_numerical_consistency_per_tensor <- test/quantization/core/test_workflow_ops.py PASSED [0.0090s] [ 15%]
2025-09-07T07:28:26.7705690Z test_quantization.py::TestFusedObsFakeQuant::test_fused_backward_op_fake_quant_off <- test/quantization/core/test_workflow_ops.py PASSED [0.0027s] [ 15%]
2025-09-07T07:28:26.7706460Z test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_backward_op <- test/quantization/core/test_workflow_ops.py PASSED [0.0026s] [ 15%]
2025-09-07T07:28:26.7707200Z test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg <- test/quantization/core/test_workflow_ops.py PASSED [0.0073s] [ 16%]
2025-09-07T07:28:26.7707970Z test_quantization.py::TestFusedObsFakeQuant::test_fused_obs_fake_quant_moving_avg_per_channel <- test/quantization/core/test_workflow_ops.py PASSED [0.0298s] [ 16%]
2025-09-07T07:28:26.7708700Z test_quantization.py::TestQuantizedTensor::test_bfp16_quantize <- test/quantization/core/test_quantized_tensor.py PASSED [0.0010s] [ 16%]
2025-09-07T07:28:26.7709850Z test_quantization.py::TestQuantizedTensor::test_choose_qparams <- ../../../../../../opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/unittest/case.py SKIPPED [0.0056s] (this is broken without changes to any relevant code, we need to remove hypothesis testing in CI) [ 16%]
2025-09-07T07:28:26.7711010Z test_quantization.py::TestQuantizedTensor::test_choose_qparams_optimized <- test/quantization/core/test_quantized_tensor.py PASSED [0.0060s] [ 16%]
2025-09-07T07:28:26.7711690Z test_quantization.py::TestQuantizedTensor::test_clone <- test/quantization/core/test_quantized_tensor.py PASSED [0.0014s] [ 16%]
2025-09-07T07:28:26.7712450Z test_quantization.py::TestQuantizedTensor::test_compare_per_channel_device_numerics <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (CUDA is not available) [ 16%]
2025-09-07T07:28:26.7713350Z test_quantization.py::TestQuantizedTensor::test_compare_per_tensor_device_numerics <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (CUDA is not available) [ 16%]
2025-09-07T07:28:26.7714250Z test_quantization.py::TestQuantizedTensor::test_cuda_quantization_does_not_pin_memory <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (CUDA is not available) [ 16%]
2025-09-07T07:28:26.7715200Z test_quantization.py::TestQuantizedTensor::test_decomposed_choose_qparams_per_token_asymmetric_backward <- test/quantization/core/test_quantized_tensor.py PASSED [0.0012s] [ 16%]
2025-09-07T07:28:26.7716020Z test_quantization.py::TestQuantizedTensor::test_decomposed_dequantize_per_channel <- test/quantization/core/test_quantized_tensor.py PASSED [0.0010s] [ 16%]
2025-09-07T07:28:26.7716790Z test_quantization.py::TestQuantizedTensor::test_decomposed_dequantize_per_tensor <- test/quantization/core/test_quantized_tensor.py PASSED [0.0012s] [ 16%]
2025-09-07T07:28:26.7717560Z test_quantization.py::TestQuantizedTensor::test_decomposed_dynamic_quant_pattern <- test/quantization/core/test_quantized_tensor.py PASSED [0.0010s] [ 16%]
2025-09-07T07:28:26.7718330Z test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel <- test/quantization/core/test_quantized_tensor.py PASSED [0.0009s] [ 17%]
2025-09-07T07:28:26.7719130Z test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_bfloat16_input <- test/quantization/core/test_quantized_tensor.py PASSED [0.0014s] [ 17%]
2025-09-07T07:28:26.7719940Z test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_channel_group <- test/quantization/core/test_quantized_tensor.py PASSED [0.0016s] [ 17%]
2025-09-07T07:28:26.7720700Z test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor <- test/quantization/core/test_quantized_tensor.py PASSED [0.0011s] [ 17%]
2025-09-07T07:28:26.7721500Z test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_tensor_bfloat16_input <- test/quantization/core/test_quantized_tensor.py PASSED [0.0008s] [ 17%]
2025-09-07T07:28:26.7722290Z test_quantization.py::TestQuantizedTensor::test_decomposed_quantize_per_token <- test/quantization/core/test_quantized_tensor.py PASSED [0.0018s] [ 17%]
2025-09-07T07:28:26.7723110Z test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cpu <- test/quantization/core/test_quantized_tensor.py PASSED [0.0008s] [ 17%]
2025-09-07T07:28:26.7723890Z test_quantization.py::TestQuantizedTensor::test_dequantize_fp16_cuda <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 17%]
2025-09-07T07:28:26.7724650Z test_quantization.py::TestQuantizedTensor::test_fp16_saturate_op <- test/quantization/core/test_quantized_tensor.py PASSED [0.0009s] [ 17%]
2025-09-07T07:28:26.7725340Z test_quantization.py::TestQuantizedTensor::test_jit_serialization <- test/quantization/core/test_quantized_tensor.py PASSED [0.0089s] [ 17%]
2025-09-07T07:28:26.7726070Z test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cpu <- test/quantization/core/test_quantized_tensor.py PASSED [0.0016s] [ 17%]
2025-09-07T07:28:26.7726940Z test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_creation_cuda <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 17%]
2025-09-07T07:28:26.7727820Z test_quantization.py::TestQuantizedTensor::test_per_channel_qtensor_to_memory_format <- test/quantization/core/test_quantized_tensor.py PASSED [0.0011s] [ 17%]
2025-09-07T07:28:26.7728610Z test_quantization.py::TestQuantizedTensor::test_per_channel_to_device <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 18%]
2025-09-07T07:28:26.7729410Z test_quantization.py::TestQuantizedTensor::test_per_tensor_qtensor_to_memory_format <- test/quantization/core/test_quantized_tensor.py PASSED [0.0011s] [ 18%]
2025-09-07T07:28:26.7730200Z test_quantization.py::TestQuantizedTensor::test_per_tensor_to_device <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 18%]
2025-09-07T07:28:26.7730980Z test_quantization.py::TestQuantizedTensor::test_pickle_checkpoint_qtensor <- test/quantization/core/test_quantized_tensor.py PASSED [0.0216s] [ 18%]
2025-09-07T07:28:26.7731750Z test_quantization.py::TestQuantizedTensor::test_qscheme_pickle <- test/quantization/core/test_quantized_tensor.py PASSED [0.0017s] [ 18%]
2025-09-07T07:28:26.7732470Z test_quantization.py::TestQuantizedTensor::test_qtensor_channel_float_assignment <- test/quantization/core/test_quantized_tensor.py PASSED [0.0068s] [ 18%]
2025-09-07T07:28:26.7733190Z test_quantization.py::TestQuantizedTensor::test_qtensor_copy <- test/quantization/core/test_quantized_tensor.py PASSED [0.0015s] [ 18%]
2025-09-07T07:28:26.7733860Z test_quantization.py::TestQuantizedTensor::test_qtensor_cpu <- test/quantization/core/test_quantized_tensor.py PASSED [0.0033s] [ 18%]
2025-09-07T07:28:26.7734530Z test_quantization.py::TestQuantizedTensor::test_qtensor_creation <- test/quantization/core/test_quantized_tensor.py PASSED [0.0010s] [ 18%]
2025-09-07T07:28:26.7735260Z test_quantization.py::TestQuantizedTensor::test_qtensor_cuda <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 18%]
2025-09-07T07:28:26.7736000Z test_quantization.py::TestQuantizedTensor::test_qtensor_dtypes <- test/quantization/core/test_quantized_tensor.py PASSED [0.0008s] [ 18%]
2025-09-07T07:28:26.7736680Z test_quantization.py::TestQuantizedTensor::test_qtensor_equal <- test/quantization/core/test_quantized_tensor.py PASSED [0.0009s] [ 18%]
2025-09-07T07:28:26.7737380Z test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_channel <- test/quantization/core/test_quantized_tensor.py PASSED [0.0020s] [ 18%]
2025-09-07T07:28:26.7738110Z test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_channel_nhwc <- test/quantization/core/test_quantized_tensor.py PASSED [0.0032s] [ 18%]
2025-09-07T07:28:26.7738840Z test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor <- test/quantization/core/test_quantized_tensor.py PASSED [0.0016s] [ 19%]
2025-09-07T07:28:26.7739560Z test_quantization.py::TestQuantizedTensor::test_qtensor_fill_per_tensor_nhwc <- test/quantization/core/test_quantized_tensor.py PASSED [0.0028s] [ 19%]
2025-09-07T07:28:26.7740390Z test_quantization.py::TestQuantizedTensor::test_qtensor_float_assignment <- test/quantization/core/test_quantized_tensor.py PASSED [0.0014s] [ 19%]
2025-09-07T07:28:26.7741110Z test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cpu <- test/quantization/core/test_quantized_tensor.py PASSED [0.0042s] [ 19%]
2025-09-07T07:28:26.7741880Z test_quantization.py::TestQuantizedTensor::test_qtensor_index_put_cuda <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 19%]
2025-09-07T07:28:26.7742650Z test_quantization.py::TestQuantizedTensor::test_qtensor_index_select_cpu <- test/quantization/core/test_quantized_tensor.py PASSED [0.0010s] [ 19%]
2025-09-07T07:28:26.7743430Z test_quantization.py::TestQuantizedTensor::test_qtensor_index_select_cuda <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 19%]
2025-09-07T07:28:26.7744230Z test_quantization.py::TestQuantizedTensor::test_qtensor_int_repr <- test/quantization/core/test_quantized_tensor.py PASSED [0.0008s] [ 19%]
2025-09-07T07:28:26.7744980Z test_quantization.py::TestQuantizedTensor::test_qtensor_legacy_new_failure <- test/quantization/core/test_quantized_tensor.py PASSED [0.0008s] [ 19%]
2025-09-07T07:28:26.7745690Z test_quantization.py::TestQuantizedTensor::test_qtensor_load_save <- test/quantization/core/test_quantized_tensor.py PASSED [0.0074s] [ 19%]
2025-09-07T07:28:26.7746390Z test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cpu <- test/quantization/core/test_quantized_tensor.py PASSED [0.0034s] [ 19%]
2025-09-07T07:28:26.7747150Z test_quantization.py::TestQuantizedTensor::test_qtensor_masked_fill_cuda <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (No gpu is available.) [ 19%]
2025-09-07T07:28:26.7747950Z test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_load_save <- test/quantization/core/test_quantized_tensor.py PASSED [0.0070s] [ 19%]
2025-09-07T07:28:26.7748730Z test_quantization.py::TestQuantizedTensor::test_qtensor_per_channel_permute <- test/quantization/core/test_quantized_tensor.py PASSED [0.0013s] [ 20%]
2025-09-07T07:28:26.7749450Z test_quantization.py::TestQuantizedTensor::test_qtensor_permute <- test/quantization/core/test_quantized_tensor.py PASSED [0.0024s] [ 20%]
2025-09-07T07:28:26.7750150Z test_quantization.py::TestQuantizedTensor::test_qtensor_quant_dequant <- test/quantization/core/test_quantized_tensor.py PASSED [0.0010s] [ 20%]
2025-09-07T07:28:26.7750880Z test_quantization.py::TestQuantizedTensor::test_qtensor_quantize_per_channel <- test/quantization/core/test_quantized_tensor.py PASSED [0.2096s] [ 20%]
2025-09-07T07:28:26.7751590Z test_quantization.py::TestQuantizedTensor::test_qtensor_reshape <- test/quantization/core/test_quantized_tensor.py PASSED [0.0013s] [ 20%]
2025-09-07T07:28:26.7752280Z test_quantization.py::TestQuantizedTensor::test_qtensor_resize <- test/quantization/core/test_quantized_tensor.py PASSED [0.0011s] [ 20%]
2025-09-07T07:28:26.7753000Z test_quantization.py::TestQuantizedTensor::test_qtensor_sub_byte_aligned_cols <- test/quantization/core/test_quantized_tensor.py PASSED [0.0051s] [ 20%]
2025-09-07T07:28:26.7753780Z test_quantization.py::TestQuantizedTensor::test_qtensor_sub_byte_not_aligned_cols <- test/quantization/core/test_quantized_tensor.py PASSED [0.0053s] [ 20%]
2025-09-07T07:28:26.7754510Z test_quantization.py::TestQuantizedTensor::test_qtensor_unsqueeze <- test/quantization/core/test_quantized_tensor.py PASSED [0.0014s] [ 20%]
2025-09-07T07:28:26.7755190Z test_quantization.py::TestQuantizedTensor::test_qtensor_view <- test/quantization/core/test_quantized_tensor.py PASSED [0.0013s] [ 20%]
2025-09-07T07:28:26.7755940Z test_quantization.py::TestQuantizedTensor::test_quant_pin_memory <- test/quantization/core/test_quantized_tensor.py SKIPPED [0.0001s] (CUDA is not available) [ 20%]
2025-09-07T07:28:26.7756840Z test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_float_qparams <- test/quantization/core/test_quantized_tensor.py PASSED [0.2121s] [ 20%]
2025-09-07T07:28:26.7757620Z test_quantization.py::TestQuantizedTensor::test_quantize_per_channel_sub_byte <- test/quantization/core/test_quantized_tensor.py PASSED [0.0085s] [ 20%]
2025-09-07T07:28:26.7758320Z test_quantization.py::TestQuantizedTensor::test_repeat <- test/quantization/core/test_quantized_tensor.py PASSED [0.0010s] [ 21%]
2025-09-07T07:28:26.7759010Z test_quantization.py::TestQuantizedTensor::test_torch_qtensor_deepcopy <- test/quantization/core/test_quantized_tensor.py PASSED [0.0009s] [ 21%]
2025-09-07T07:28:26.7759720Z test_quantization.py::TestFakeQuantize::test_fq_module_per_channel <- test/quantization/core/test_workflow_module.py PASSED [0.0961s] [ 21%]
2025-09-07T07:28:26.7760430Z test_quantization.py::TestFakeQuantize::test_fq_serializable_per_channel <- test/quantization/core/test_workflow_module.py PASSED [0.0035s] [ 21%]
2025-09-07T07:28:26.7761190Z test_quantization.py::TestFakeQuantize::test_quant_min_max_override <- test/quantization/core/test_workflow_module.py PASSED [0.0011s] [ 21%]
2025-09-07T07:28:26.7761930Z test_quantization.py::TestObserver::test_dynamic_quant_observer <- test/quantization/core/test_workflow_module.py PASSED [0.0068s] [ 21%]
2025-09-07T07:28:26.7762660Z test_quantization.py::TestObserver::test_dynamic_quant_observer_matching_choose_qparams <- test/quantization/core/test_workflow_module.py PASSED [0.0012s] [ 21%]
2025-09-07T07:28:26.7763450Z test_quantization.py::TestObserver::test_histogram_observer_consistent_buffer_shape <- test/quantization/core/test_workflow_module.py PASSED [0.0018s] [ 21%]
2025-09-07T07:28:26.7764250Z test_quantization.py::TestObserver::test_histogram_observer_handle_OOM_due_to_close_min_max_value <- test/quantization/core/test_workflow_module.py PASSED [0.0029s] [ 21%]
2025-09-07T07:28:26.7765040Z test_quantization.py::TestObserver::test_histogram_observer_handle_close_to_infinity <- test/quantization/core/test_workflow_module.py PASSED [0.5722s] [ 21%]
2025-09-07T07:28:26.7765860Z test_quantization.py::TestObserver::test_histogram_observer_ignore_infinity <- test/quantization/core/test_workflow_module.py PASSED [0.0015s] [ 21%]
2025-09-07T07:28:26.7766600Z test_quantization.py::TestObserver::test_histogram_observer_save_load_state_dict <- test/quantization/core/test_workflow_module.py PASSED [0.0010s] [ 21%]
2025-09-07T07:28:26.7767420Z test_quantization.py::TestObserver::test_observer_qparams_respects_device_affinity <- test/quantization/core/test_workflow_module.py SKIPPED [0.0001s] (multi-GPU not supported) [ 21%]
2025-09-07T07:28:26.7768200Z test_quantization.py::TestObserver::test_observer_scriptable <- test/quantization/core/test_workflow_module.py PASSED [0.0469s] [ 21%]
2025-09-07T07:28:26.7768870Z test_quantization.py::TestObserver::test_per_channel_observers <- test/quantization/core/test_workflow_module.py PASSED [0.1418s] [ 22%]
2025-09-07T07:28:26.7769560Z test_quantization.py::TestObserver::test_per_channel_observers_load_state_dict <- test/quantization/core/test_workflow_module.py PASSED [0.0013s] [ 22%]
2025-09-07T07:28:26.7770270Z test_quantization.py::TestObserver::test_per_tensor_observers <- test/quantization/core/test_workflow_module.py PASSED [0.1286s] [ 22%]
2025-09-07T07:28:26.7770960Z test_quantization.py::TestObserver::test_save_load_state_dict_script <- test/quantization/core/test_workflow_module.py PASSED [0.0983s] [ 22%]
2025-09-07T07:28:26.7771880Z test_quantization.py::TestObserver::test_state_dict_respects_device_affinity <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (multi-GPU not supported) [ 22%]
2025-09-07T07:28:26.7772770Z test_quantization.py::TestObserver::test_zero_numel <- test/quantization/core/test_workflow_module.py PASSED [0.0012s] [ 22%]
2025-09-07T07:28:26.7773440Z test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d <- test/quantization/core/test_quantized_module.py PASSED [0.0014s] [ 22%]
2025-09-07T07:28:26.7774280Z test_quantization.py::TestStaticQuantizedModule::test_batch_norm2d_serialization <- test/quantization/core/test_quantized_module.py PASSED [0.0044s] [ 22%]
2025-09-07T07:28:26.7775050Z test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d <- test/quantization/core/test_quantized_module.py PASSED [0.0013s] [ 22%]
2025-09-07T07:28:26.7775790Z test_quantization.py::TestStaticQuantizedModule::test_batch_norm3d_serialization <- test/quantization/core/test_quantized_module.py PASSED [0.0043s] [ 22%]
2025-09-07T07:28:26.7776550Z test_quantization.py::TestStaticQuantizedModule::test_channel_shuffle <- test/quantization/core/test_quantized_module.py PASSED [0.0020s] [ 22%]
2025-09-07T07:28:26.7777390Z test_quantization.py::TestStaticQuantizedModule::test_conv1d_api <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 22%]
2025-09-07T07:28:26.7778410Z test_quantization.py::TestStaticQuantizedModule::test_conv1d_relu_api <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 22%]
2025-09-07T07:28:26.7779400Z test_quantization.py::TestStaticQuantizedModule::test_conv2d_add <- test/quantization/core/test_quantized_module.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [ 23%]
2025-09-07T07:28:26.7780290Z test_quantization.py::TestStaticQuantizedModule::test_conv2d_add_relu <- test/quantization/core/test_quantized_module.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [ 23%]
2025-09-07T07:28:26.7781220Z test_quantization.py::TestStaticQuantizedModule::test_conv2d_api <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 23%]
2025-09-07T07:28:26.7782190Z test_quantization.py::TestStaticQuantizedModule::test_conv2d_relu_api <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 23%]
2025-09-07T07:28:26.7791810Z test_quantization.py::TestStaticQuantizedModule::test_conv3d_api <- test/quantization/core/test_quantized_module.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 23%]
2025-09-07T07:28:26.7793190Z test_quantization.py::TestStaticQuantizedModule::test_conv3d_relu_api <- test/quantization/core/test_quantized_module.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 23%]
2025-09-07T07:28:26.7794160Z test_quantization.py::TestStaticQuantizedModule::test_dropout <- test/quantization/core/test_quantized_module.py PASSED [0.0009s] [ 23%]
2025-09-07T07:28:26.7794890Z test_quantization.py::TestStaticQuantizedModule::test_dropout_serialization <- test/quantization/core/test_quantized_module.py PASSED [0.0031s] [ 23%]
2025-09-07T07:28:26.7795600Z test_quantization.py::TestStaticQuantizedModule::test_elu <- test/quantization/core/test_quantized_module.py PASSED [0.0013s] [ 23%]
2025-09-07T07:28:26.7796710Z test_quantization.py::TestStaticQuantizedModule::test_embedding_api <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0053s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 23%]
2025-09-07T07:28:26.7798270Z test_quantization.py::TestStaticQuantizedModule::test_embedding_bag_api <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantization.py SKIPPED [0.0053s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 23%]
2025-09-07T07:28:26.7799400Z test_quantization.py::TestStaticQuantizedModule::test_group_norm <- test/quantization/core/test_quantized_module.py PASSED [0.0021s] [ 23%]
2025-09-07T07:28:26.7800100Z test_quantization.py::TestStaticQuantizedModule::test_hard_swish <- test/quantization/core/test_quantized_module.py PASSED [0.0014s] [ 23%]
2025-09-07T07:28:26.7801040Z test_quantization.py::TestStaticQuantizedModule::test_instance_norm <- test/quantization/core/test_quantized_module.py PASSED [0.0056s] [ 23%]
2025-09-07T07:28:26.7801770Z test_quantization.py::TestStaticQuantizedModule::test_layer_norm <- test/quantization/core/test_quantized_module.py PASSED [0.0019s] [ 24%]
2025-09-07T07:28:26.7802460Z test_quantization.py::TestStaticQuantizedModule::test_leaky_relu <- test/quantization/core/test_quantized_module.py PASSED [0.0017s] [ 24%]
2025-09-07T07:28:26.7803420Z test_quantization.py::TestStaticQuantizedModule::test_linear <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0002s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 24%]
2025-09-07T07:28:26.7804490Z test_quantization.py::TestStaticQuantizedModule::test_linear_leaky_relu <- test/quantization/core/test_quantized_module.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [ 24%]
2025-09-07T07:28:26.7805640Z test_quantization.py::TestStaticQuantizedModule::test_linear_relu <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0002s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 24%]
2025-09-07T07:28:26.7806780Z test_quantization.py::TestStaticQuantizedModule::test_linear_tanh <- test/quantization/core/test_quantized_module.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [ 24%]
2025-09-07T07:28:26.7807570Z test_quantization.py::TestStaticQuantizedModule::test_pool_api <- test/quantization/core/test_quantized_module.py PASSED [0.0096s] [ 24%]
2025-09-07T07:28:26.7808260Z test_quantization.py::TestStaticQuantizedModule::test_prelu <- test/quantization/core/test_quantized_module.py PASSED [0.0046s] [ 24%]
2025-09-07T07:28:26.7808970Z test_quantization.py::TestStaticQuantizedModule::test_quant_dequant_api <- test/quantization/core/test_quantized_module.py PASSED [0.0010s] [ 24%]
2025-09-07T07:28:26.7809740Z test_quantization.py::TestStaticQuantizedModule::test_relu <- test/quantization/core/test_quantized_module.py PASSED [0.0010s] [ 24%]
2025-09-07T07:28:26.7811120Z test_quantization.py::TestStaticQuantizedModule::test_sigmoid <- test/quantization/core/test_quantized_module.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/157244 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 24%]
2025-09-07T07:28:26.7812620Z test_quantization.py::TestDynamicQuantizedModule::test_cell_api <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0025s] [ 24%]
2025-09-07T07:28:26.7813600Z test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv1d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 24%]
2025-09-07T07:28:26.7814580Z test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv2d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 25%]
2025-09-07T07:28:26.7815560Z test_quantization.py::TestDynamicQuantizedModule::test_dynamic_conv3d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 25%]
2025-09-07T07:28:26.7816570Z test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose1d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 25%]
2025-09-07T07:28:26.7817610Z test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose2d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 25%]
2025-09-07T07:28:26.7818760Z test_quantization.py::TestDynamicQuantizedModule::test_dynamic_convtranspose3d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 25%]
2025-09-07T07:28:26.7819770Z test_quantization.py::TestDynamicQuantizedModule::test_gru_api <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 25%]
2025-09-07T07:28:26.7820720Z test_quantization.py::TestDynamicQuantizedModule::test_linear_api <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0169s] [ 25%]
2025-09-07T07:28:26.7821670Z test_quantization.py::TestDynamicQuantizedModule::test_lstm_api <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0024s] [ 25%]
2025-09-07T07:28:26.7822630Z test_quantization.py::TestReferenceQuantizedModule::test_linear_decomposed_weight_custom_qmin_qmax <- test/quantization/core/test_quantized_module.py PASSED [0.0067s] [ 25%]
2025-09-07T07:28:26.7823450Z test_quantization.py::TestReferenceQuantizedModule::test_rnn <- test/quantization/core/test_quantized_module.py PASSED [0.0040s] [ 25%]
2025-09-07T07:28:26.7824160Z test_quantization.py::TestReferenceQuantizedModule::test_rnn_cell <- test/quantization/core/test_quantized_module.py PASSED [0.0023s] [ 25%]
2025-09-07T07:28:26.7824860Z test_quantization.py::TestReferenceQuantizedModule::test_sparse <- test/quantization/core/test_quantized_module.py PASSED [0.0019s] [ 25%]
2025-09-07T07:28:26.7825590Z test_quantization.py::TestRecordHistogramObserver::test_observer_scriptable <- test/quantization/core/test_workflow_module.py PASSED [0.0072s] [ 25%]
2025-09-07T07:28:26.7826340Z test_quantization.py::TestRecordHistogramObserver::test_record_observer <- test/quantization/core/test_workflow_module.py PASSED [0.0009s] [ 26%]
2025-09-07T07:28:26.7827080Z test_quantization.py::TestHistogramObserver::test_histogram_observer <- test/quantization/core/test_workflow_module.py PASSED [6.6561s] [ 26%]
2025-09-07T07:28:26.7827890Z test_quantization.py::TestHistogramObserver::test_histogram_observer_against_reference <- test/quantization/core/test_workflow_module.py PASSED [1.5893s] [ 26%]
2025-09-07T07:28:26.7828680Z test_quantization.py::TestHistogramObserver::test_histogram_observer_correct_numel <- test/quantization/core/test_workflow_module.py PASSED [0.0019s] [ 26%]
2025-09-07T07:28:26.7829450Z test_quantization.py::TestHistogramObserver::test_histogram_observer_extreme_inputs <- test/quantization/core/test_workflow_module.py PASSED [0.0011s] [ 26%]
2025-09-07T07:28:26.7830220Z test_quantization.py::TestHistogramObserver::test_histogram_observer_one_sided <- test/quantization/core/test_workflow_module.py PASSED [0.0706s] [ 26%]
2025-09-07T07:28:26.7830980Z test_quantization.py::TestHistogramObserver::test_histogram_observer_same_inputs <- test/quantization/core/test_workflow_module.py PASSED [0.0846s] [ 26%]
2025-09-07T07:28:26.7831760Z test_quantization.py::TestHistogramObserver::test_histogram_observer_single_inputs <- test/quantization/core/test_workflow_module.py PASSED [0.0013s] [ 26%]
2025-09-07T07:28:26.7832580Z test_quantization.py::TestHistogramObserver::test_histogram_observer_update_within_range_succeeds <- test/quantization/core/test_workflow_module.py PASSED [0.0010s] [ 26%]
2025-09-07T07:28:26.7833360Z test_quantization.py::TestHistogramObserver::test_observer_scriptable <- test/quantization/core/test_workflow_module.py PASSED [0.3670s] [ 26%]
2025-09-07T07:28:26.7834260Z test_quantization.py::TestDistributed::test_device_affinity <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (multi-GPU not supported) [ 26%]
2025-09-07T07:28:26.7835150Z test_quantization.py::TestDistributed::test_fake_quant_preserves_buffers <- test/quantization/core/test_workflow_module.py PASSED [0.0015s] [ 26%]
2025-09-07T07:28:26.7836000Z test_quantization.py::TestDistributed::test_observers_preserve_buffers <- test/quantization/core/test_workflow_module.py PASSED [0.0031s] [ 26%]
2025-09-07T07:28:26.7836750Z test_quantization.py::TestDistributed::test_qat_convbn_fused_syncbn_replacement <- test/quantization/core/test_workflow_module.py PASSED [0.0008s] [ 26%]
2025-09-07T07:28:26.7837520Z test_quantization.py::TestDistributed::test_qat_data_parallel <- test/quantization/core/test_workflow_module.py SKIPPED [0.0001s] (multi-GPU not supported) [ 27%]
2025-09-07T07:28:26.7838270Z test_quantization.py::TestDistributed::test_syncbn_preserves_qconfig <- test/quantization/core/test_workflow_module.py PASSED [0.0010s] [ 27%]
2025-09-07T07:28:26.7839020Z test_quantization.py::TestFusedObsFakeQuantModule::test_compare_fused_obs_fq_oss_module <- test/quantization/core/test_workflow_module.py PASSED [0.0043s] [ 27%]
2025-09-07T07:28:26.7839810Z test_quantization.py::TestFusedObsFakeQuantModule::test_default_fused_qat_config <- test/quantization/core/test_workflow_module.py PASSED [0.0067s] [ 27%]
2025-09-07T07:28:26.7840650Z test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_bag_qat_config <- test/quantization/core/test_workflow_module.py PASSED [0.0131s] [ 27%]
2025-09-07T07:28:26.7841480Z test_quantization.py::TestFusedObsFakeQuantModule::test_embedding_qat_config <- test/quantization/core/test_workflow_module.py PASSED [0.0008s] [ 27%]
2025-09-07T07:28:26.7842230Z test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_per_channel <- test/quantization/core/test_workflow_module.py PASSED [0.0141s] [ 27%]
2025-09-07T07:28:26.7842990Z test_quantization.py::TestFusedObsFakeQuantModule::test_fused_mod_reduce_range <- test/quantization/core/test_workflow_module.py PASSED [0.0010s] [ 27%]
2025-09-07T07:28:26.7843740Z test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_module <- test/quantization/core/test_workflow_module.py PASSED [0.0022s] [ 27%]
2025-09-07T07:28:26.7844520Z test_quantization.py::TestFusedObsFakeQuantModule::test_fused_obs_fq_moving_avg_module <- test/quantization/core/test_workflow_module.py PASSED [0.0031s] [ 27%]
2025-09-07T07:28:26.7845350Z test_quantization.py::TestBackendConfig::test_backend_config_from_dict <- test/quantization/core/test_backend_config.py PASSED [0.0021s] [ 27%]
2025-09-07T07:28:26.7846100Z test_quantization.py::TestBackendConfig::test_backend_config_set_backend_pattern_config <- test/quantization/core/test_backend_config.py PASSED [0.0011s] [ 27%]
2025-09-07T07:28:26.7846840Z test_quantization.py::TestBackendConfig::test_backend_config_set_name <- test/quantization/core/test_backend_config.py PASSED [0.0008s] [ 27%]
2025-09-07T07:28:26.7847540Z test_quantization.py::TestBackendConfig::test_backend_config_to_dict <- test/quantization/core/test_backend_config.py PASSED [0.0014s] [ 28%]
2025-09-07T07:28:26.7848270Z test_quantization.py::TestBackendConfig::test_backend_op_config_add_dtype_config <- test/quantization/core/test_backend_config.py PASSED [0.0011s] [ 28%]
2025-09-07T07:28:26.7849010Z test_quantization.py::TestBackendConfig::test_backend_op_config_from_dict <- test/quantization/core/test_backend_config.py PASSED [0.0014s] [ 28%]
2025-09-07T07:28:26.7849770Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_extra_inputs_getter <- test/quantization/core/test_backend_config.py PASSED [0.0008s] [ 28%]
2025-09-07T07:28:26.7850530Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_fused_module <- test/quantization/core/test_backend_config.py PASSED [0.0007s] [ 28%]
2025-09-07T07:28:26.7851300Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_fuser_method <- test/quantization/core/test_backend_config.py PASSED [0.0008s] [ 28%]
2025-09-07T07:28:26.7852060Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_input_type_to_index <- test/quantization/core/test_backend_config.py PASSED [0.0009s] [ 28%]
2025-09-07T07:28:26.7853000Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_num_tensor_args_to_observation_type <- test/quantization/core/test_backend_config.py PASSED [0.0009s] [ 28%]
2025-09-07T07:28:26.7853840Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_observation_type <- test/quantization/core/test_backend_config.py PASSED [0.0008s] [ 28%]
2025-09-07T07:28:26.7854600Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_qat_module <- test/quantization/core/test_backend_config.py PASSED [0.0008s] [ 28%]
2025-09-07T07:28:26.7855380Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_reference_quantized_module <- test/quantization/core/test_backend_config.py PASSED [0.0008s] [ 28%]
2025-09-07T07:28:26.7856170Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_root_module <- test/quantization/core/test_backend_config.py PASSED [0.0009s] [ 28%]
2025-09-07T07:28:26.7856920Z test_quantization.py::TestBackendConfig::test_backend_op_config_set_root_node_getter <- test/quantization/core/test_backend_config.py PASSED [0.0008s] [ 28%]
2025-09-07T07:28:26.7857710Z test_quantization.py::TestBackendConfig::test_backend_op_config_to_dict <- test/quantization/core/test_backend_config.py PASSED [0.0014s] [ 28%]
2025-09-07T07:28:26.7858470Z test_quantization.py::TestBackendConfig::test_dtype_config_from_dict <- test/quantization/core/test_backend_config.py PASSED [0.0010s] [ 29%]
2025-09-07T07:28:26.7859150Z test_quantization.py::TestBackendConfig::test_dtype_config_to_dict <- test/quantization/core/test_backend_config.py PASSED [0.0010s] [ 29%]
2025-09-07T07:28:26.7859840Z test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_complex_args <- test/quantization/core/test_utils.py PASSED [0.0013s] [ 29%]
2025-09-07T07:28:26.7860510Z test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_default_kwargs <- test/quantization/core/test_utils.py PASSED [0.0012s] [ 29%]
2025-09-07T07:28:26.7861160Z test_quantization.py::TestUtils::test_get_fqn_to_example_inputs_simple <- test/quantization/core/test_utils.py PASSED [0.0012s] [ 29%]
2025-09-07T07:28:26.7861900Z test_quantization.py::TestUtils::test_quantize_weight_clamping_per_channel <- test/quantization/core/test_utils.py PASSED [0.0011s] [ 29%]
2025-09-07T07:28:26.7862580Z test_quantization.py::TestUtils::test_quantize_weight_clamping_per_tensor <- test/quantization/core/test_utils.py PASSED [0.0009s] [ 29%]
2025-09-07T07:28:26.7863200Z test_quantization.py::TestUtils::test_uint4_int4_dtype <- test/quantization/core/test_utils.py PASSED [0.0008s] [ 29%]
2025-09-07T07:28:26.7864170Z test_quantization.py::TestQuantizeEagerPTQStatic::test_activations <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 29%]
2025-09-07T07:28:26.7865250Z test_quantization.py::TestQuantizeEagerPTQStatic::test_activations_in_non_leaf_module_list <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0018s] [ 29%]
2025-09-07T07:28:26.7866390Z test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_fails_early <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 29%]
2025-09-07T07:28:26.7867810Z test_quantization.py::TestQuantizeEagerPTQStatic::test_convtranspose_per_channel_qconfig_none <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 29%]
2025-09-07T07:28:26.7869180Z test_quantization.py::TestQuantizeEagerPTQStatic::test_custom_module_class <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 29%]
2025-09-07T07:28:26.7870640Z test_quantization.py::TestQuantizeEagerPTQStatic::test_dequant_stub <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-09-07T07:28:26.7871860Z test_quantization.py::TestQuantizeEagerPTQStatic::test_forward_hooks_preserved <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 30%]
2025-09-07T07:28:26.7873010Z test_quantization.py::TestQuantizeEagerPTQStatic::test_manual <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-09-07T07:28:26.7874340Z test_quantization.py::TestQuantizeEagerPTQStatic::test_mha_batch_first_attr_is_copied_in_prepare <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-09-07T07:28:26.7875500Z test_quantization.py::TestQuantizeEagerPTQStatic::test_nested1 <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0008s] [ 30%]
2025-09-07T07:28:26.7876570Z test_quantization.py::TestQuantizeEagerPTQStatic::test_nested2 <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-09-07T07:28:26.7877550Z test_quantization.py::TestQuantizeEagerPTQStatic::test_nested3 <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0007s] [ 30%]
2025-09-07T07:28:26.7878550Z test_quantization.py::TestQuantizeEagerPTQStatic::test_normalization <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-09-07T07:28:26.7879880Z test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-09-07T07:28:26.7881040Z test_quantization.py::TestQuantizeEagerPTQStatic::test_quantized_embedding_bag <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0433s] [ 30%]
2025-09-07T07:28:26.7882160Z test_quantization.py::TestQuantizeEagerPTQStatic::test_quantwrapper_attaches_qconfig_to_dequant <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 30%]
2025-09-07T07:28:26.7883230Z test_quantization.py::TestQuantizeEagerPTQStatic::test_resnet_base <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0007s] [ 30%]
2025-09-07T07:28:26.7883980Z test_quantization.py::TestQuantizeEagerPTQStatic::test_save_load_state_dict <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0007s] [ 30%]
2025-09-07T07:28:26.7884730Z test_quantization.py::TestQuantizeEagerPTQStatic::test_single_layer <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0009s] [ 31%]
2025-09-07T07:28:26.7885460Z test_quantization.py::TestQuantizeEagerPTQStatic::test_skip_quant <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0008s] [ 31%]
2025-09-07T07:28:26.7886470Z test_quantization.py::TestQuantizeEagerPTQStatic::test_two_layers <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-09-07T07:28:26.7887780Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_bag_dynamic <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-09-07T07:28:26.7889290Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_embedding_ops_dynamic <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-09-07T07:28:26.7890660Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_forward_hooks_preserved <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-09-07T07:28:26.7891990Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_linear_relu_fusion <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-09-07T07:28:26.7893330Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested1 <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-09-07T07:28:26.7894650Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested2 <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-09-07T07:28:26.7895910Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_nested3 <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-09-07T07:28:26.7897220Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_per_channel_linear_quantize <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-09-07T07:28:26.7898610Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-09-07T07:28:26.7899910Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_quantized_rnn_cell <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-09-07T07:28:26.7901210Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_single_layer <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 31%]
2025-09-07T07:28:26.7902500Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_two_layers <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 32%]
2025-09-07T07:28:26.7903800Z test_quantization.py::TestQuantizeEagerPTQDynamic::test_type_match_rule <- test/quantization/eager/test_quantize_eager_ptq.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 32%]
2025-09-07T07:28:26.7904790Z test_quantization.py::TestQuantizeEagerOps::test_conv_1d <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0010s] [ 32%]
2025-09-07T07:28:26.7905460Z test_quantization.py::TestQuantizeEagerOps::test_conv_2d <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0007s] [ 32%]
2025-09-07T07:28:26.7906130Z test_quantization.py::TestQuantizeEagerOps::test_conv_3d <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0007s] [ 32%]
2025-09-07T07:28:26.7906990Z test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_1d <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0008s] [ 32%]
2025-09-07T07:28:26.7907740Z test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_2d <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0007s] [ 32%]
2025-09-07T07:28:26.7908460Z test_quantization.py::TestQuantizeEagerOps::test_conv_transpose_3d <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0007s] [ 32%]
2025-09-07T07:28:26.7909170Z test_quantization.py::TestQuantizeEagerOps::test_functional_module <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.2886s] [ 32%]
2025-09-07T07:28:26.7910040Z test_quantization.py::TestQuantizeEagerOps::test_int16_reference_module <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 32%]
2025-09-07T07:28:26.7910880Z test_quantization.py::TestQuantizeEagerOps::test_leaky_relu <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0021s] [ 32%]
2025-09-07T07:28:26.7911770Z test_quantization.py::TestQuantizeEagerOps::test_linear <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0008s] [ 32%]
2025-09-07T07:28:26.7912580Z test_quantization.py::TestQuantizeEagerOps::test_relu <- test/quantization/eager/test_quantize_eager_ptq.py PASSED [0.0018s] [ 32%]
2025-09-07T07:28:26.7913290Z test_quantization.py::TestQuantizeEagerQAT::test_add_scalar_uses_input_qparams <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0044s] [ 33%]
2025-09-07T07:28:26.7914020Z test_quantization.py::TestQuantizeEagerQAT::test_conv_linear <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0008s] [ 33%]
2025-09-07T07:28:26.7914720Z test_quantization.py::TestQuantizeEagerQAT::test_conv_linear_symm <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0007s] [ 33%]
2025-09-07T07:28:26.7915470Z test_quantization.py::TestQuantizeEagerQAT::test_defused_embedding_bag_linear <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0007s] [ 33%]
2025-09-07T07:28:26.7916300Z test_quantization.py::TestQuantizeEagerQAT::test_dropout <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0007s] [ 33%]
2025-09-07T07:28:26.7917000Z test_quantization.py::TestQuantizeEagerQAT::test_dynamic_qat_linear <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0007s] [ 33%]
2025-09-07T07:28:26.7917720Z test_quantization.py::TestQuantizeEagerQAT::test_embedding_bag_linear <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0007s] [ 33%]
2025-09-07T07:28:26.7918470Z test_quantization.py::TestQuantizeEagerQAT::test_embedding_qat_qconfig_equal <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0031s] [ 33%]
2025-09-07T07:28:26.7919200Z test_quantization.py::TestQuantizeEagerQAT::test_eval_only_fake_quant <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0008s] [ 33%]
2025-09-07T07:28:26.7920080Z test_quantization.py::TestQuantizeEagerQAT::test_forward_hooks_preserved <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 33%]
2025-09-07T07:28:26.7920920Z test_quantization.py::TestQuantizeEagerQAT::test_manual <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0007s] [ 33%]
2025-09-07T07:28:26.7921640Z test_quantization.py::TestQuantizeEagerQAT::test_mul_scalar_uses_input_qparams <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0026s] [ 33%]
2025-09-07T07:28:26.7922520Z test_quantization.py::TestQuantizeEagerQAT::test_qat_embedding_bag_errors <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 33%]
2025-09-07T07:28:26.7923380Z test_quantization.py::TestQuantizeEagerQAT::test_train_save_load_eval <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0007s] [ 34%]
2025-09-07T07:28:26.7924140Z test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_folded_vs_unfolded <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.3636s] [ 34%]
2025-09-07T07:28:26.7925060Z test_quantization.py::TestQuantizeEagerQATNumerics::test_conv_bn_relu <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.1638s] [ 34%]
2025-09-07T07:28:26.7925850Z test_quantization.py::TestQuantizeEagerQATNumerics::test_fixed_qparam_ops <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0062s] [ 34%]
2025-09-07T07:28:26.7926590Z test_quantization.py::TestQuantizeEagerQATNumerics::test_leaky_relu <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0032s] [ 34%]
2025-09-07T07:28:26.7927470Z test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_numerics <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 34%]
2025-09-07T07:28:26.7928510Z test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_symm_numerics <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 34%]
2025-09-07T07:28:26.7929610Z test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_bn_workflow <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 34%]
2025-09-07T07:28:26.7930730Z test_quantization.py::TestQuantizeEagerQATNumerics::test_linear_precomputed_fake_quant <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 34%]
2025-09-07T07:28:26.7931620Z test_quantization.py::TestQuantizeEagerQATNumerics::test_relu <- test/quantization/eager/test_quantize_eager_qat.py PASSED [0.0013s] [ 34%]
2025-09-07T07:28:26.7932590Z test_quantization.py::TestFuseEager::test_forward_hooks_preserved <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 34%]
2025-09-07T07:28:26.7933830Z test_quantization.py::TestFuseEager::test_fuse_function_customization <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 34%]
2025-09-07T07:28:26.7935130Z test_quantization.py::TestFuseEager::test_fuse_module_eval <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 34%]
2025-09-07T07:28:26.7936310Z test_quantization.py::TestFuseEager::test_fuse_module_train <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 34%]
2025-09-07T07:28:26.7937520Z test_quantization.py::TestFuseEager::test_fuse_modules_with_nested_hooks <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 35%]
2025-09-07T07:28:26.7938740Z test_quantization.py::TestFuseEager::test_fusion_conv_with_bias <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 35%]
2025-09-07T07:28:26.7939970Z test_quantization.py::TestFuseEager::test_fusion_convtranspose_bn_eval <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 35%]
2025-09-07T07:28:26.7941180Z test_quantization.py::TestFuseEager::test_fusion_linear_bn_eval <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 35%]
2025-09-07T07:28:26.7942530Z test_quantization.py::TestFuseEager::test_fusion_sequential_model_eval <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 35%]
2025-09-07T07:28:26.7943800Z test_quantization.py::TestFuseEager::test_fusion_sequential_model_train <- test/quantization/eager/test_fuse_eager.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 35%]
2025-09-07T07:28:26.7944800Z test_quantization.py::TestModelNumericsEager::test_fake_quant_true_quant_compare <- test/quantization/eager/test_model_numerics.py PASSED [0.0008s] [ 35%]
2025-09-07T07:28:26.7945580Z test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_channel <- test/quantization/eager/test_model_numerics.py PASSED [0.0158s] [ 35%]
2025-09-07T07:28:26.7946350Z test_quantization.py::TestModelNumericsEager::test_float_quant_compare_per_tensor <- test/quantization/eager/test_model_numerics.py PASSED [0.0009s] [ 35%]
2025-09-07T07:28:26.7947210Z test_quantization.py::TestModelNumericsEager::test_weight_only_activation_only_fakequant <- test/quantization/eager/test_model_numerics.py PASSED [0.0007s] [ 35%]
2025-09-07T07:28:26.7948220Z test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_conv_static <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 35%]
2025-09-07T07:28:26.7949290Z test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_functional_static <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 35%]
2025-09-07T07:28:26.7950360Z test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_dynamic <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 35%]
2025-09-07T07:28:26.7951430Z test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_linear_static <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-09-07T07:28:26.7952550Z test_quantization.py::TestNumericSuiteEager::test_compare_model_outputs_lstm_dynamic <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-09-07T07:28:26.7953590Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_conv_static <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-09-07T07:28:26.7954630Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_functional_static <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-09-07T07:28:26.7955680Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_dynamic <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-09-07T07:28:26.7956720Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_linear_static <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-09-07T07:28:26.7957750Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_lstm_dynamic <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-09-07T07:28:26.7958760Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_partial <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-09-07T07:28:26.7959790Z test_quantization.py::TestNumericSuiteEager::test_compare_model_stub_submodule_static <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-09-07T07:28:26.7960940Z test_quantization.py::TestNumericSuiteEager::test_compare_weights_conv_static <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-09-07T07:28:26.7961980Z test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_dynamic <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-09-07T07:28:26.7963010Z test_quantization.py::TestNumericSuiteEager::test_compare_weights_linear_static <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-09-07T07:28:26.7964030Z test_quantization.py::TestNumericSuiteEager::test_compare_weights_lstm_dynamic <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 36%]
2025-09-07T07:28:26.7964980Z test_quantization.py::TestNumericSuiteEager::test_mobilenet_v2 <- test/quantization/eager/test_numeric_suite_eager.py SKIPPED [0.0001s] (no torchvision) [ 36%]
2025-09-07T07:28:26.7965830Z test_quantization.py::TestNumericSuiteEager::test_mobilenet_v3 <- test/quantization/eager/test_numeric_suite_eager.py SKIPPED [0.0001s] (no torchvision) [ 37%]
2025-09-07T07:28:26.7966710Z test_quantization.py::TestNumericSuiteEager::test_output_logger <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 37%]
2025-09-07T07:28:26.7967660Z test_quantization.py::TestNumericSuiteEager::test_shadow_logger <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 37%]
2025-09-07T07:28:26.7968470Z test_quantization.py::TestEqualizeEager::test_converged <- test/quantization/eager/test_equalize_eager.py PASSED [0.0009s] [ 37%]
2025-09-07T07:28:26.7969160Z test_quantization.py::TestEqualizeEager::test_cross_layer_equalization <- test/quantization/eager/test_equalize_eager.py PASSED [0.0014s] [ 37%]
2025-09-07T07:28:26.7969920Z test_quantization.py::TestEqualizeEager::test_equalize <- test/quantization/eager/test_equalize_eager.py PASSED [0.0065s] [ 37%]
2025-09-07T07:28:26.7970600Z test_quantization.py::TestEqualizeEager::test_equalize_fused_convrelu <- test/quantization/eager/test_equalize_eager.py PASSED [0.0143s] [ 37%]
2025-09-07T07:28:26.7971320Z test_quantization.py::TestEqualizeEager::test_equalize_fused_linearrelu <- test/quantization/eager/test_equalize_eager.py PASSED [0.0105s] [ 37%]
2025-09-07T07:28:26.7972320Z test_quantization.py::TestBiasCorrectionEager::test_conv_chain <- test/quantization/eager/test_bias_correction_eager.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 37%]
2025-09-07T07:28:26.7973630Z test_quantization.py::TestBiasCorrectionEager::test_linear_chain <- test/quantization/eager/test_bias_correction_eager.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 37%]
2025-09-07T07:28:26.7974820Z test_quantization.py::TestFuseFx::test_fuse_addtional_fuser_method <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Temporarily skipping the test case, will enable after the simplepattern format is supported) [ 37%]
2025-09-07T07:28:26.7975710Z test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_by_default <- test/quantization/fx/test_quantize_fx.py PASSED [0.0637s] [ 37%]
2025-09-07T07:28:26.7976460Z test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_lowering <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [ 37%]
2025-09-07T07:28:26.7977200Z test_quantization.py::TestFuseFx::test_fuse_conv_bn_add_relu_onednn <- test/quantization/fx/test_quantize_fx.py PASSED [0.0625s] [ 38%]
2025-09-07T07:28:26.7977980Z test_quantization.py::TestFuseFx::test_fuse_conv_bn_relu <- test/quantization/fx/test_quantize_fx.py PASSED [0.0232s] [ 38%]
2025-09-07T07:28:26.7978640Z test_quantization.py::TestFuseFx::test_fuse_convtranspose_bn_eval <- test/quantization/fx/test_quantize_fx.py PASSED [0.0035s] [ 38%]
2025-09-07T07:28:26.7979280Z test_quantization.py::TestFuseFx::test_fuse_custom_pattern <- test/quantization/fx/test_quantize_fx.py PASSED [0.0037s] [ 38%]
2025-09-07T07:28:26.7979890Z test_quantization.py::TestFuseFx::test_fuse_linear_bn_eval <- test/quantization/fx/test_quantize_fx.py PASSED [0.0027s] [ 38%]
2025-09-07T07:28:26.7980630Z test_quantization.py::TestFuseFx::test_fuse_linear_bn_leaky_relu_onednn <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0008s] (Quantized operations require ONEDNN.) [ 38%]
2025-09-07T07:28:26.7981490Z test_quantization.py::TestFuseFx::test_fuse_linear_tanh_for_onednn_backend <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0007s] (Quantized operations require ONEDNN.) [ 38%]
2025-09-07T07:28:26.7982320Z test_quantization.py::TestFuseFx::test_fuse_module_relu <- test/quantization/fx/test_quantize_fx.py PASSED [0.0042s] [ 38%]
2025-09-07T07:28:26.7983050Z test_quantization.py::TestFuseFx::test_fusion_pattern_with_matchallnode <- test/quantization/fx/test_quantize_fx.py PASSED [0.0024s] [ 38%]
2025-09-07T07:28:26.7983730Z test_quantization.py::TestFuseFx::test_fusion_pattern_with_multiple_inputs <- test/quantization/fx/test_quantize_fx.py PASSED [0.0023s] [ 38%]
2025-09-07T07:28:26.7984430Z test_quantization.py::TestFuseFx::test_linear_bn_leaky_relu_not_fused_by_default <- test/quantization/fx/test_quantize_fx.py PASSED [0.0044s] [ 38%]
2025-09-07T07:28:26.7985120Z test_quantization.py::TestFuseFx::test_linear_tanh_not_fused_by_default <- test/quantization/fx/test_quantize_fx.py PASSED [0.0025s] [ 38%]
2025-09-07T07:28:26.7985780Z test_quantization.py::TestFuseFx::test_problematic_fuse_example <- test/quantization/fx/test_quantize_fx.py PASSED [0.0081s] [ 38%]
2025-09-07T07:28:26.7986700Z test_quantization.py::TestFuseFx::test_qconfig_fused_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.7988100Z test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.7989400Z test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx_dynamic_quant <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.7990730Z test_quantization.py::TestQuantizeFx::test__convert_to_reference_decomposed_fx_per_channel_quant <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.7992030Z test_quantization.py::TestQuantizeFx::test_assert_on_size_after_quant_layer <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.7993390Z test_quantization.py::TestQuantizeFx::test_attention <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.7994760Z test_quantization.py::TestQuantizeFx::test_backend_config_check_for_weight_and_bias <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.7996190Z test_quantization.py::TestQuantizeFx::test_backend_config_quantization_range <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.7997460Z test_quantization.py::TestQuantizeFx::test_backend_config_scale_min <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.7998720Z test_quantization.py::TestQuantizeFx::test_change_backend_config_for_fixed_qparam_ops <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.8000050Z test_quantization.py::TestQuantizeFx::test_channel_shuffle_lowering <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.8001300Z test_quantization.py::TestQuantizeFx::test_conv_bn_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.8002490Z test_quantization.py::TestQuantizeFx::test_conv_linear_not_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.8003690Z test_quantization.py::TestQuantizeFx::test_conv_linear_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 39%]
2025-09-07T07:28:26.8004960Z test_quantization.py::TestQuantizeFx::test_conv_lowering <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-09-07T07:28:26.8006150Z test_quantization.py::TestQuantizeFx::test_conv_transpose_not_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-09-07T07:28:26.8007380Z test_quantization.py::TestQuantizeFx::test_conv_transpose_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-09-07T07:28:26.8008620Z test_quantization.py::TestQuantizeFx::test_conv_transpose_relu_not_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-09-07T07:28:26.8009880Z test_quantization.py::TestQuantizeFx::test_conv_transpose_relu_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-09-07T07:28:26.8011110Z test_quantization.py::TestQuantizeFx::test_convert_custom_config_from_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-09-07T07:28:26.8012400Z test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_observed_to_quantized_mapping <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-09-07T07:28:26.8013870Z test_quantization.py::TestQuantizeFx::test_convert_custom_config_set_preserved_attributes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-09-07T07:28:26.8015170Z test_quantization.py::TestQuantizeFx::test_convert_custom_config_to_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-09-07T07:28:26.8016390Z test_quantization.py::TestQuantizeFx::test_convert_qconfig_mapping <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-09-07T07:28:26.8017710Z test_quantization.py::TestQuantizeFx::test_convtranspose_per_channel_fails_early <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-09-07T07:28:26.8019050Z test_quantization.py::TestQuantizeFx::test_copy_node_has_shared_actpp_instance <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-09-07T07:28:26.8020270Z test_quantization.py::TestQuantizeFx::test_custom_module_class <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 40%]
2025-09-07T07:28:26.8021510Z test_quantization.py::TestQuantizeFx::test_custom_module_class_input_has_duplicate_nodes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-09-07T07:28:26.8022830Z test_quantization.py::TestQuantizeFx::test_custom_module_class_input_has_multiple_users <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-09-07T07:28:26.8024200Z test_quantization.py::TestQuantizeFx::test_deepcopy_preserve_attributes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-09-07T07:28:26.8025460Z test_quantization.py::TestQuantizeFx::test_default_qconfig_mapping_override_global <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-09-07T07:28:26.8026730Z test_quantization.py::TestQuantizeFx::test_default_quant_after_none_qconfig <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-09-07T07:28:26.8027930Z test_quantization.py::TestQuantizeFx::test_dequantize <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-09-07T07:28:26.8029070Z test_quantization.py::TestQuantizeFx::test_dict_output <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-09-07T07:28:26.8030270Z test_quantization.py::TestQuantizeFx::test_dynamic_linear_input_multiple_use <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-09-07T07:28:26.8031590Z test_quantization.py::TestQuantizeFx::test_dynamic_quant_fp16 <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-09-07T07:28:26.8032820Z test_quantization.py::TestQuantizeFx::test_dynamic_quant_weight_observer <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-09-07T07:28:26.8034020Z test_quantization.py::TestQuantizeFx::test_dynamic_with_fusion <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-09-07T07:28:26.8035230Z test_quantization.py::TestQuantizeFx::test_dynamic_with_fusion_multiple_uses <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-09-07T07:28:26.8036500Z test_quantization.py::TestQuantizeFx::test_fold_quant_dequant <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 41%]
2025-09-07T07:28:26.8037750Z test_quantization.py::TestQuantizeFx::test_fp32_input_fp32_output <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8038960Z test_quantization.py::TestQuantizeFx::test_fp32_input_quantized_output <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8040140Z test_quantization.py::TestQuantizeFx::test_fp32_sum <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8041370Z test_quantization.py::TestQuantizeFx::test_fuse_custom_config_from_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8048110Z test_quantization.py::TestQuantizeFx::test_fuse_custom_config_set_preserved_attributes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8049460Z test_quantization.py::TestQuantizeFx::test_fuse_custom_config_to_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8050670Z test_quantization.py::TestQuantizeFx::test_fused_module_qat_swap <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8051880Z test_quantization.py::TestQuantizeFx::test_fusion_pattern_unquantized <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8053120Z test_quantization.py::TestQuantizeFx::test_get_default_qconfig_valid_backend <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8054580Z test_quantization.py::TestQuantizeFx::test_get_executorch_backend_config <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8055820Z test_quantization.py::TestQuantizeFx::test_getattr_with_nontensor_result <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8057040Z test_quantization.py::TestQuantizeFx::test_keep_original_weights <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8058200Z test_quantization.py::TestQuantizeFx::test_linear_bn <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8059450Z test_quantization.py::TestQuantizeFx::test_linear_leaky_relu_lowering <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 42%]
2025-09-07T07:28:26.8060750Z test_quantization.py::TestQuantizeFx::test_linear_qint8_activation <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-09-07T07:28:26.8062090Z test_quantization.py::TestQuantizeFx::test_linear_shape_view <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-09-07T07:28:26.8063570Z test_quantization.py::TestQuantizeFx::test_linear_size_view <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-09-07T07:28:26.8064990Z test_quantization.py::TestQuantizeFx::test_linear_tanh_lowering <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-09-07T07:28:26.8066260Z test_quantization.py::TestQuantizeFx::test_lowering_functional_conv_transpose_with_kwargs <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-09-07T07:28:26.8067550Z test_quantization.py::TestQuantizeFx::test_lowering_functional_conv_with_kwargs <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-09-07T07:28:26.8068830Z test_quantization.py::TestQuantizeFx::test_lowering_functional_linear_with_kwargs <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-09-07T07:28:26.8070100Z test_quantization.py::TestQuantizeFx::test_masked_fill_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-09-07T07:28:26.8071350Z test_quantization.py::TestQuantizeFx::test_match_pattern_with_multiple_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-09-07T07:28:26.8072670Z test_quantization.py::TestQuantizeFx::test_mixed_dtypes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-09-07T07:28:26.8073850Z test_quantization.py::TestQuantizeFx::test_mul_add_fp16_config <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-09-07T07:28:26.8075080Z test_quantization.py::TestQuantizeFx::test_no_obs_between_unmatched_node_and_copy_node <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-09-07T07:28:26.8076310Z test_quantization.py::TestQuantizeFx::test_non_traceable_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 43%]
2025-09-07T07:28:26.8077530Z test_quantization.py::TestQuantizeFx::test_not_used <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8078710Z test_quantization.py::TestQuantizeFx::test_observer_fqn <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8079870Z test_quantization.py::TestQuantizeFx::test_output_lists_and_dicts <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8081070Z test_quantization.py::TestQuantizeFx::test_packed_weight_fused_op <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8082310Z test_quantization.py::TestQuantizeFx::test_pattern_match <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8083490Z test_quantization.py::TestQuantizeFx::test_pattern_match_constant <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8084720Z test_quantization.py::TestQuantizeFx::test_permute_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8085970Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_from_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8087260Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_float_to_observed_mapping <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8088630Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_input_quantized_indexes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8089970Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_classes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8091440Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_non_traceable_module_names <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8092800Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_output_quantized_indexes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8094120Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_preserved_attributes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 44%]
2025-09-07T07:28:26.8095500Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_class <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-09-07T07:28:26.8096880Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_set_standalone_module_name <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-09-07T07:28:26.8098140Z test_quantization.py::TestQuantizeFx::test_prepare_custom_config_to_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-09-07T07:28:26.8099330Z test_quantization.py::TestQuantizeFx::test_prepare_mode <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-09-07T07:28:26.8100590Z test_quantization.py::TestQuantizeFx::test_prepared_model_deepcopy <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-09-07T07:28:26.8101790Z test_quantization.py::TestQuantizeFx::test_preserve_attributes <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-09-07T07:28:26.8102960Z test_quantization.py::TestQuantizeFx::test_preserve_qconfig <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-09-07T07:28:26.8104130Z test_quantization.py::TestQuantizeFx::test_preserve_tuple <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-09-07T07:28:26.8105360Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-09-07T07:28:26.8106680Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_split_tuple_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-09-07T07:28:26.8108000Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_dict_tuple_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-09-07T07:28:26.8109400Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_list_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-09-07T07:28:26.8110720Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_split_list_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 45%]
2025-09-07T07:28:26.8112030Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_split_tuple_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-09-07T07:28:26.8113370Z test_quantization.py::TestQuantizeFx::test_propagate_dtypes_for_known_nodes_tuple_args <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-09-07T07:28:26.8114650Z test_quantization.py::TestQuantizeFx::test_qat_and_script <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-09-07T07:28:26.8115990Z test_quantization.py::TestQuantizeFx::test_qat_prepare_device_affinity <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-09-07T07:28:26.8117350Z test_quantization.py::TestQuantizeFx::test_qat_skip_untraced <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-09-07T07:28:26.8118570Z test_quantization.py::TestQuantizeFx::test_qconfig_dict_setup <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-09-07T07:28:26.8119940Z test_quantization.py::TestQuantizeFx::test_qconfig_dict_with_fused_modules <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-09-07T07:28:26.8121310Z test_quantization.py::TestQuantizeFx::test_qconfig_for_call_func <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-09-07T07:28:26.8122500Z test_quantization.py::TestQuantizeFx::test_qconfig_for_call_method <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-09-07T07:28:26.8123690Z test_quantization.py::TestQuantizeFx::test_qconfig_function <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-09-07T07:28:26.8124880Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_from_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-09-07T07:28:26.8126230Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_repr <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-09-07T07:28:26.8127460Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_global <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 46%]
2025-09-07T07:28:26.8128690Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8129970Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_object_type_order <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8131340Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_module_name_regex <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8132660Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_set_object_type <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8133880Z test_quantization.py::TestQuantizeFx::test_qconfig_mapping_to_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8135110Z test_quantization.py::TestQuantizeFx::test_qconfig_module_name_object_type_order <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8136450Z test_quantization.py::TestQuantizeFx::test_qconfig_module_name_regex <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8137660Z test_quantization.py::TestQuantizeFx::test_qconfig_module_type <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8138830Z test_quantization.py::TestQuantizeFx::test_qconfig_none <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8140000Z test_quantization.py::TestQuantizeFx::test_qconfig_precedence <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8141220Z test_quantization.py::TestQuantizeFx::test_qconfig_qat_module_type <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8142420Z test_quantization.py::TestQuantizeFx::test_qnnpack_backend_config <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8143600Z test_quantization.py::TestQuantizeFx::test_qparams_buffers <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8144900Z test_quantization.py::TestQuantizeFx::test_qparams_fqn <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 47%]
2025-09-07T07:28:26.8146140Z test_quantization.py::TestQuantizeFx::test_quant_output_always_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-09-07T07:28:26.8147360Z test_quantization.py::TestQuantizeFx::test_quantized_input_fp32_output <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-09-07T07:28:26.8148670Z test_quantization.py::TestQuantizeFx::test_quantized_input_quantized_output <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-09-07T07:28:26.8149960Z test_quantization.py::TestQuantizeFx::test_quantized_model_type <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-09-07T07:28:26.8151150Z test_quantization.py::TestQuantizeFx::test_ref_conv_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-09-07T07:28:26.8152310Z test_quantization.py::TestQuantizeFx::test_ref_linear_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-09-07T07:28:26.8153500Z test_quantization.py::TestQuantizeFx::test_register_patterns <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-09-07T07:28:26.8154770Z test_quantization.py::TestQuantizeFx::test_relu_lowering <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-09-07T07:28:26.8155930Z test_quantization.py::TestQuantizeFx::test_remove_qconfig <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-09-07T07:28:26.8157140Z test_quantization.py::TestQuantizeFx::test_repeat_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-09-07T07:28:26.8158410Z test_quantization.py::TestQuantizeFx::test_reroute_tuple_getitem_patterns <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-09-07T07:28:26.8159660Z test_quantization.py::TestQuantizeFx::test_reshape_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-09-07T07:28:26.8160870Z test_quantization.py::TestQuantizeFx::test_return_none <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 48%]
2025-09-07T07:28:26.8162160Z test_quantization.py::TestQuantizeFx::test_reuse_input_qconfig <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-09-07T07:28:26.8163400Z test_quantization.py::TestQuantizeFx::test_save_observer_state_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-09-07T07:28:26.8164580Z test_quantization.py::TestQuantizeFx::test_sequential <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-09-07T07:28:26.8165770Z test_quantization.py::TestQuantizeFx::test_shape_followed_by_quantized_op <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-09-07T07:28:26.8167080Z test_quantization.py::TestQuantizeFx::test_size_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-09-07T07:28:26.8168410Z test_quantization.py::TestQuantizeFx::test_stack_trace_preserved_linear <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-09-07T07:28:26.8169650Z test_quantization.py::TestQuantizeFx::test_standalone_module_float_interface <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-09-07T07:28:26.8170930Z test_quantization.py::TestQuantizeFx::test_standalone_module_quantized_interface <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-09-07T07:28:26.8172220Z test_quantization.py::TestQuantizeFx::test_state_dict <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-09-07T07:28:26.8173360Z test_quantization.py::TestQuantizeFx::test_static_lstm <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-09-07T07:28:26.8174540Z test_quantization.py::TestQuantizeFx::test_static_lstm_consume_tuple <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-09-07T07:28:26.8175780Z test_quantization.py::TestQuantizeFx::test_static_lstm_with_custom_fixed_qparams <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-09-07T07:28:26.8176990Z test_quantization.py::TestQuantizeFx::test_sub_scalar <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 49%]
2025-09-07T07:28:26.8178190Z test_quantization.py::TestQuantizeFx::test_symmetric_qnnpack_qat_qconfig_mapping <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8179460Z test_quantization.py::TestQuantizeFx::test_symmetric_qnnpack_qconfig_mapping <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8180870Z test_quantization.py::TestQuantizeFx::test_torch_transpose_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8182190Z test_quantization.py::TestQuantizeFx::test_torch_unsqueeze_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8183450Z test_quantization.py::TestQuantizeFx::test_trace_quantize_per_tensor <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8184750Z test_quantization.py::TestQuantizeFx::test_transpose_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8186070Z test_quantization.py::TestQuantizeFx::test_unsqueeze__nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8187340Z test_quantization.py::TestQuantizeFx::test_unsqueeze_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8188670Z test_quantization.py::TestQuantizeFx::test_view_nontensor_args_not_observed <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8189940Z test_quantization.py::TestQuantizeFxOps::test_add <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8191080Z test_quantization.py::TestQuantizeFxOps::test_add_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8192270Z test_quantization.py::TestQuantizeFxOps::test_add_relu_multiple_uses_of_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8193500Z test_quantization.py::TestQuantizeFxOps::test_ave_pool_with_custom_cfg <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8194680Z test_quantization.py::TestQuantizeFxOps::test_bmm <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0002s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 50%]
2025-09-07T07:28:26.8195840Z test_quantization.py::TestQuantizeFxOps::test_bmm_int_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-09-07T07:28:26.8197030Z test_quantization.py::TestQuantizeFxOps::test_boolean_tensor <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-09-07T07:28:26.8198340Z test_quantization.py::TestQuantizeFxOps::test_cat <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-09-07T07:28:26.8199520Z test_quantization.py::TestQuantizeFxOps::test_chunk <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-09-07T07:28:26.8200650Z test_quantization.py::TestQuantizeFxOps::test_clamp <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-09-07T07:28:26.8201800Z test_quantization.py::TestQuantizeFxOps::test_conv_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-09-07T07:28:26.8203170Z test_quantization.py::TestQuantizeFxOps::test_conv_transpose_1d <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-09-07T07:28:26.8204490Z test_quantization.py::TestQuantizeFxOps::test_conv_transpose_2d <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-09-07T07:28:26.8205690Z test_quantization.py::TestQuantizeFxOps::test_copy_node_fp32_input <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-09-07T07:28:26.8206850Z test_quantization.py::TestQuantizeFxOps::test_div <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-09-07T07:28:26.8208050Z test_quantization.py::TestQuantizeFxOps::test_elu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-09-07T07:28:26.8209200Z test_quantization.py::TestQuantizeFxOps::test_embedding <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-09-07T07:28:26.8210360Z test_quantization.py::TestQuantizeFxOps::test_embedding_bag <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 51%]
2025-09-07T07:28:26.8211540Z test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8212750Z test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_fp16 <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8213960Z test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_qint8 <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8215190Z test_quantization.py::TestQuantizeFxOps::test_fixed_qparams_ops_wrong_qconfig <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8216550Z test_quantization.py::TestQuantizeFxOps::test_float_functional <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8217790Z test_quantization.py::TestQuantizeFxOps::test_functional_conv <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8218990Z test_quantization.py::TestQuantizeFxOps::test_functional_linear <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8220170Z test_quantization.py::TestQuantizeFxOps::test_gelu_normal <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8221410Z test_quantization.py::TestQuantizeFxOps::test_gelu_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8222650Z test_quantization.py::TestQuantizeFxOps::test_general_shape_ops <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8223840Z test_quantization.py::TestQuantizeFxOps::test_general_value_ops <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8225010Z test_quantization.py::TestQuantizeFxOps::test_getitem <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8226230Z test_quantization.py::TestQuantizeFxOps::test_hardswish <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8227400Z test_quantization.py::TestQuantizeFxOps::test_instance_norm <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 52%]
2025-09-07T07:28:26.8228600Z test_quantization.py::TestQuantizeFxOps::test_int8_input_no_unnecessary_fq <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-09-07T07:28:26.8229800Z test_quantization.py::TestQuantizeFxOps::test_layer_norm <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-09-07T07:28:26.8230970Z test_quantization.py::TestQuantizeFxOps::test_leaky_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-09-07T07:28:26.8232160Z test_quantization.py::TestQuantizeFxOps::test_linear_dynamic_fp16 <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-09-07T07:28:26.8233350Z test_quantization.py::TestQuantizeFxOps::test_linear_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0003s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-09-07T07:28:26.8234680Z test_quantization.py::TestQuantizeFxOps::test_linear_static_fp16 <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-09-07T07:28:26.8235910Z test_quantization.py::TestQuantizeFxOps::test_mish_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-09-07T07:28:26.8237070Z test_quantization.py::TestQuantizeFxOps::test_mul <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-09-07T07:28:26.8238200Z test_quantization.py::TestQuantizeFxOps::test_mul_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-09-07T07:28:26.8239480Z test_quantization.py::TestQuantizeFxOps::test_multiple_qconfigs_for_single_value <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-09-07T07:28:26.8240750Z test_quantization.py::TestQuantizeFxOps::test_narrow <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-09-07T07:28:26.8241920Z test_quantization.py::TestQuantizeFxOps::test_norm_weight_bias <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-09-07T07:28:26.8243110Z test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 53%]
2025-09-07T07:28:26.8244380Z test_quantization.py::TestQuantizeFxOps::test_pixel_shuffle_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-09-07T07:28:26.8245590Z test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-09-07T07:28:26.8246790Z test_quantization.py::TestQuantizeFxOps::test_pixel_unshuffle_module <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-09-07T07:28:26.8247970Z test_quantization.py::TestQuantizeFxOps::test_prelu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-09-07T07:28:26.8249120Z test_quantization.py::TestQuantizeFxOps::test_qbatch_norm <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-09-07T07:28:26.8250300Z test_quantization.py::TestQuantizeFxOps::test_qbatch_norm_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-09-07T07:28:26.8251470Z test_quantization.py::TestQuantizeFxOps::test_qmatmul <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-09-07T07:28:26.8252770Z test_quantization.py::TestQuantizeFxOps::test_quantized_add_qat <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-09-07T07:28:26.8254010Z test_quantization.py::TestQuantizeFxOps::test_quantized_conv_relu <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-09-07T07:28:26.8255200Z test_quantization.py::TestQuantizeFxOps::test_quantized_mul_qat <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-09-07T07:28:26.8256450Z test_quantization.py::TestQuantizeFxOps::test_ref_pattern_multi_use <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-09-07T07:28:26.8257700Z test_quantization.py::TestQuantizeFxOps::test_reshape_fp16 <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-09-07T07:28:26.8259020Z test_quantization.py::TestQuantizeFxOps::test_rnn <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 54%]
2025-09-07T07:28:26.8260470Z test_quantization.py::TestQuantizeFxOps::test_rnn_cell <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 55%]
2025-09-07T07:28:26.8261880Z test_quantization.py::TestQuantizeFxOps::test_silu_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 55%]
2025-09-07T07:28:26.8263080Z test_quantization.py::TestQuantizeFxOps::test_softmax_normal <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 55%]
2025-09-07T07:28:26.8264280Z test_quantization.py::TestQuantizeFxOps::test_softmax_reference <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 55%]
2025-09-07T07:28:26.8265450Z test_quantization.py::TestQuantizeFxOps::test_sub <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 55%]
2025-09-07T07:28:26.8266600Z test_quantization.py::TestQuantizeFxOps::test_sum <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 55%]
2025-09-07T07:28:26.8267530Z test_quantization.py::TestQuantizeFxModels::test_model_dropout <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (no torchvision) [ 55%]
2025-09-07T07:28:26.8268360Z test_quantization.py::TestQuantizeFxModels::test_prepare_serialize_switch_device_convert <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (gpu is not available.) [ 55%]
2025-09-07T07:28:26.8269310Z test_quantization.py::TestQuantizeFxModels::test_qat_embedding_linear <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 55%]
2025-09-07T07:28:26.8270480Z test_quantization.py::TestQuantizeFxModels::test_qat_embeddingbag_linear <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 55%]
2025-09-07T07:28:26.8271530Z test_quantization.py::TestQuantizeFxModels::test_qat_functional_linear <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0017s] [ 55%]
2025-09-07T07:28:26.8272390Z test_quantization.py::TestQuantizeFxModels::test_resnet18_ddp <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (no torchvision) [ 55%]
2025-09-07T07:28:26.8273230Z test_quantization.py::TestQuantizeFxModels::test_resnet_base <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 55%]
2025-09-07T07:28:26.8274110Z test_quantization.py::TestQuantizeFxModels::test_static_gpu_convert_basic <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (gpu is not available.) [ 55%]
2025-09-07T07:28:26.8275060Z test_quantization.py::TestQuantizeFxModels::test_switch_device_prepare_convert <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (gpu is not available.) [ 56%]
2025-09-07T07:28:26.8275940Z test_quantization.py::TestQuantizeFxModels::test_torchvision <- test/quantization/fx/test_quantize_fx.py SKIPPED [0.0001s] (no torchvision) [ 56%]
2025-09-07T07:28:26.8276710Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_annotations_int <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0062s] [ 56%]
2025-09-07T07:28:26.8277520Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_correct_output_replacement <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0051s] [ 56%]
2025-09-07T07:28:26.8278340Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_graph_argument_order <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0042s] [ 56%]
2025-09-07T07:28:26.8279250Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_internal_pattern_nodes_cannot_have_users_that_are_not_matched <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0041s] [ 56%]
2025-09-07T07:28:26.8280250Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_multiple_pattern_match <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0051s] [ 56%]
2025-09-07T07:28:26.8281070Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_is_entire_graph <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0042s] [ 56%]
2025-09-07T07:28:26.8281990Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_pattern_output_pattern_node_can_have_users_that_are_not_matched <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0042s] [ 56%]
2025-09-07T07:28:26.8282880Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_placeholder_matching <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0041s] [ 56%]
2025-09-07T07:28:26.8283690Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_preserves_logic <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0043s] [ 56%]
2025-09-07T07:28:26.8284520Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_replaces_referenced_submodules <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0045s] [ 56%]
2025-09-07T07:28:26.8285350Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_single_pattern_match <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0042s] [ 56%]
2025-09-07T07:28:26.8286150Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_traced_as_callable <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0042s] [ 57%]
2025-09-07T07:28:26.8286950Z test_quantization.py::TestSubgraphRewriter::test_subgraph_rewriter_with_oneliner_pattern <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0041s] [ 57%]
2025-09-07T07:28:26.8287910Z test_quantization.py::TestSubgraphRewriter::test_subgraph_writer_replace_consecutive_submodules <- test/quantization/fx/test_subgraph_rewriter.py PASSED [0.0042s] [ 57%]
2025-09-07T07:28:26.8288730Z test_quantization.py::TestGraphUtils::test_conv_bn_conv_relu <- test/quantization/pt2e/test_graph_utils.py PASSED [0.3120s] [ 57%]
2025-09-07T07:28:26.8289570Z test_quantization.py::TestGraphUtils::test_conv_bn_relu <- test/quantization/pt2e/test_graph_utils.py W0907 07:22:56.264000 97199 torch/fx/experimental/symbolic_shapes.py:3144] Failed to reduce inequalities: 1/2
2025-09-07T07:28:26.8290170Z PASSED [0.4565s] [ 57%]
2025-09-07T07:28:26.8290800Z test_quantization.py::TestGraphUtils::test_customized_equivalet_types_dict <- test/quantization/pt2e/test_graph_utils.py W0907 07:22:56.336000 97199 torch/fx/experimental/symbolic_shapes.py:3144] Failed to reduce inequalities: 1/2
2025-09-07T07:28:26.8291450Z PASSED [0.0654s] [ 57%]
2025-09-07T07:28:26.8291900Z test_quantization.py::TestDuplicateDQPass::test_avgpool_use_different_qconfig <- test/quantization/pt2e/test_duplicate_dq.py PASSED [0.4535s] [ 57%]
2025-09-07T07:28:26.8292720Z test_quantization.py::TestDuplicateDQPass::test_no_add_quant_duplicate_dq <- test/quantization/pt2e/test_duplicate_dq.py PASSED [0.0970s] [ 57%]
2025-09-07T07:28:26.8293490Z test_quantization.py::TestDuplicateDQPass::test_no_need_for_duplicate_dq <- test/quantization/pt2e/test_duplicate_dq.py PASSED [0.4358s] [ 57%]
2025-09-07T07:28:26.8294190Z test_quantization.py::TestDuplicateDQPass::test_simple_duplicate_dq <- test/quantization/pt2e/test_duplicate_dq.py PASSED [0.1049s] [ 57%]
2025-09-07T07:28:26.8294970Z test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq <- test/quantization/pt2e/test_metadata_porting.py SKIPPED [0.0001s] (Temporarily disabled) [ 57%]
2025-09-07T07:28:26.8295780Z test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_dq_no_static_q <- test/quantization/pt2e/test_metadata_porting.py PASSED [0.1491s] [ 57%]
2025-09-07T07:28:26.8296550Z test_quantization.py::TestMetaDataPorting::test_metadata_porting_for_two_dq <- test/quantization/pt2e/test_metadata_porting.py PASSED [0.0310s] [ 57%]
2025-09-07T07:28:26.8297410Z test_quantization.py::TestMetaDataPorting::test_metadata_porting_with_no_quant_inbetween <- test/quantization/pt2e/test_metadata_porting.py PASSED [0.4168s] [ 57%]
2025-09-07T07:28:26.8298170Z test_quantization.py::TestMetaDataPorting::test_no_metadata_porting <- test/quantization/pt2e/test_metadata_porting.py PASSED [0.5080s] [ 58%]
2025-09-07T07:28:26.8298930Z test_quantization.py::TestMetaDataPorting::test_no_metadata_porting_through_unknown_ops <- test/quantization/pt2e/test_metadata_porting.py PASSED [0.4022s] [ 58%]
2025-09-07T07:28:26.8299700Z test_quantization.py::TestMetaDataPorting::test_simple_metadata_porting <- test/quantization/pt2e/test_metadata_porting.py PASSED [0.5091s] [ 58%]
2025-09-07T07:28:26.8300430Z test_quantization.py::TestNumericDebugger::test_added_node_gets_unique_id <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.4145s] [ 58%]
2025-09-07T07:28:26.8301150Z test_quantization.py::TestNumericDebugger::test_control_flow <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.4809s] [ 58%]
2025-09-07T07:28:26.8301850Z test_quantization.py::TestNumericDebugger::test_copy_preserve_handle <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.0251s] [ 58%]
2025-09-07T07:28:26.8302580Z test_quantization.py::TestNumericDebugger::test_deepcopy_preserve_handle <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.0240s] [ 58%]
2025-09-07T07:28:26.8303330Z test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.1476s] [ 58%]
2025-09-07T07:28:26.8304120Z test_quantization.py::TestNumericDebugger::test_extract_results_from_loggers_list_output <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.4086s] [ 58%]
2025-09-07T07:28:26.8304910Z test_quantization.py::TestNumericDebugger::test_prepare_for_propagation_comparison <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.0301s] [ 58%]
2025-09-07T07:28:26.8305840Z test_quantization.py::TestNumericDebugger::test_quantize_pt2e_preserve_handle <- test/quantization/pt2e/test_numeric_debugger.py PASSED [0.1452s] [ 58%]
2025-09-07T07:28:26.8307330Z test_quantization.py::TestNumericDebugger::test_re_export_preserve_handle <- test/quantization/pt2e/test_numeric_debugger.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/144898 for platform(s) mac, macos, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 58%]
2025-09-07T07:28:26.8309560Z test_quantization.py::TestNumericDebugger::test_run_decompositions_map_handle_to_new_nodes <- test/quantization/pt2e/test_numeric_debugger.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/144933 for platform(s) mac, macos, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 58%]
2025-09-07T07:28:26.8311810Z test_quantization.py::TestNumericDebugger::test_run_decompositions_same_handle_id <- test/quantization/pt2e/test_numeric_debugger.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/144963 for platform(s) linux, mac, macos, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 59%]
2025-09-07T07:28:26.8313920Z test_quantization.py::TestNumericDebugger::test_simple <- test/quantization/pt2e/test_numeric_debugger.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/142470 for platform(s) linux, mac, macos, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 59%]
2025-09-07T07:28:26.8315390Z test_quantization.py::TestQuantizePT2E::test_allow_exported_model_train_eval <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [10.3142s] [ 59%]
2025-09-07T07:28:26.8316150Z test_quantization.py::TestQuantizePT2E::test_allow_exported_model_train_eval_idempotent <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.2178s] [ 59%]
2025-09-07T07:28:26.8317590Z test_quantization.py::TestQuantizePT2E::test_allow_implicit_sharing <- test/quantization/pt2e/test_quantize_pt2e.py SKIPPED [0.0003s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/144988 for platform(s) linux, mac, macos, rocm. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 59%]
2025-09-07T07:28:26.8319710Z test_quantization.py::TestQuantizePT2E::test_composable_quantizer_linear_conv <- test/quantization/pt2e/test_quantize_pt2e.py [W907 07:23:11.140402000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8321530Z [W907 07:23:11.140422000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8323140Z [W907 07:23:11.140432000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8324660Z [W907 07:23:11.140438000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8326140Z [W907 07:23:11.140445000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8327690Z [W907 07:23:11.140454000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8329260Z [W907 07:23:11.140460000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8330740Z [W907 07:23:11.140466000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8332230Z [W907 07:23:11.140496000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8333800Z [W907 07:23:11.140505000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8335280Z [W907 07:23:11.140510000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8336780Z [W907 07:23:11.140516000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8338270Z [W907 07:23:11.140523000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8339750Z [W907 07:23:11.140529000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8341410Z [W907 07:23:11.140547000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8342940Z [W907 07:23:11.140556000 PyInterpreter.cpp:267] Warning: Deallocating Tensor that still has live PyObject references.  This probably happened because you took out a weak reference to Tensor and didn't call _fix_weakref() after dereferencing it.  Subsequent accesses to this tensor via the PyObject will now fail. (function decref)
2025-09-07T07:28:26.8343770Z PASSED [0.4395s] [ 59%]
2025-09-07T07:28:26.8344210Z test_quantization.py::TestQuantizePT2E::test_composable_quantizer_throw <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0316s] [ 59%]
2025-09-07T07:28:26.8345060Z test_quantization.py::TestQuantizePT2E::test_composable_quantizer_transform_for_annotation <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.3915s] [ 59%]
2025-09-07T07:28:26.8345910Z test_quantization.py::TestQuantizePT2E::test_constant_prop_preserve_metadata <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.2984s] [ 59%]
2025-09-07T07:28:26.8351740Z test_quantization.py::TestQuantizePT2E::test_conv_padding_bn_relu <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.8901s] [ 59%]
2025-09-07T07:28:26.8352550Z test_quantization.py::TestQuantizePT2E::test_conv_transpose_bn_relu <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0393s] [ 59%]
2025-09-07T07:28:26.8353220Z test_quantization.py::TestQuantizePT2E::test_derived_qspec <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0297s] [ 59%]
2025-09-07T07:28:26.8353890Z test_quantization.py::TestQuantizePT2E::test_derived_qspec_per_channel <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0305s] [ 59%]
2025-09-07T07:28:26.8354590Z test_quantization.py::TestQuantizePT2E::test_disallow_eval_train <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [5.0636s] [ 60%]
2025-09-07T07:28:26.8355520Z test_quantization.py::TestQuantizePT2E::test_dont_fold_other_constant <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.3089s] [ 60%]
2025-09-07T07:28:26.8356240Z test_quantization.py::TestQuantizePT2E::test_embedding_conv_linear_quantization <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.9457s] [ 60%]
2025-09-07T07:28:26.8356950Z test_quantization.py::TestQuantizePT2E::test_embedding_quantizer <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.8490s] [ 60%]
2025-09-07T07:28:26.8357660Z test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_observer_dedup <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4214s] [ 60%]
2025-09-07T07:28:26.8358380Z test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_ptq <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0238s] [ 60%]
2025-09-07T07:28:26.8359080Z test_quantization.py::TestQuantizePT2E::test_fixed_qparams_qspec_qat <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0200s] [ 60%]
2025-09-07T07:28:26.8359780Z test_quantization.py::TestQuantizePT2E::test_fold_all_ops_before_quantize <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.2955s] [ 60%]
2025-09-07T07:28:26.8360460Z test_quantization.py::TestQuantizePT2E::test_fold_quantize <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.6655s] [ 60%]
2025-09-07T07:28:26.8361130Z test_quantization.py::TestQuantizePT2E::test_fold_quantize_per_channel <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.3060s] [ 60%]
2025-09-07T07:28:26.8361840Z test_quantization.py::TestQuantizePT2E::test_groupwise_per_channel_quant <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4153s] [ 60%]
2025-09-07T07:28:26.8362530Z test_quantization.py::TestQuantizePT2E::test_input_edge_sanity_check <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4221s] [ 60%]
2025-09-07T07:28:26.8363360Z test_quantization.py::TestQuantizePT2E::test_max_pool2d_quantizer <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4246s] [ 60%]
2025-09-07T07:28:26.8364060Z test_quantization.py::TestQuantizePT2E::test_model_is_exported <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0346s] [ 60%]
2025-09-07T07:28:26.8364770Z test_quantization.py::TestQuantizePT2E::test_move_exported_model_bn_device_cpu <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.2543s] [ 61%]
2025-09-07T07:28:26.8365490Z test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.2449s] [ 61%]
2025-09-07T07:28:26.8366220Z test_quantization.py::TestQuantizePT2E::test_move_exported_model_dropout_inplace <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.2212s] [ 61%]
2025-09-07T07:28:26.8366970Z test_quantization.py::TestQuantizePT2E::test_multi_users_without_output_observer <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0696s] [ 61%]
2025-09-07T07:28:26.8367740Z test_quantization.py::TestQuantizePT2E::test_observer_callback <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.3891s] [ 61%]
2025-09-07T07:28:26.8368500Z test_quantization.py::TestQuantizePT2E::test_prepare_obs_or_fq_callback <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4218s] [ 61%]
2025-09-07T07:28:26.8369190Z test_quantization.py::TestQuantizePT2E::test_preserve_nn_module_stack <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [1.4490s] [ 61%]
2025-09-07T07:28:26.8369940Z test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_float8_e4m3fn <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0264s] [ 61%]
2025-09-07T07:28:26.8370720Z test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_float8_e5m2 <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0245s] [ 61%]
2025-09-07T07:28:26.8371480Z test_quantization.py::TestQuantizePT2E::test_quantization_dtype_bfloat16_int16 <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0239s] [ 61%]
2025-09-07T07:28:26.8372320Z test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e4m3fn <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0242s] [ 61%]
2025-09-07T07:28:26.8373080Z test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_float8_e5m2 <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0242s] [ 61%]
2025-09-07T07:28:26.8373830Z test_quantization.py::TestQuantizePT2E::test_quantization_dtype_float32_int16 <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0231s] [ 61%]
2025-09-07T07:28:26.8374520Z test_quantization.py::TestQuantizePT2E::test_reentrant <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [5.3700s] [ 62%]
2025-09-07T07:28:26.8375570Z test_quantization.py::TestQuantizePT2E::test_save_load <- test/quantization/pt2e/test_quantize_pt2e.py W0907 07:23:32.983000 97199 torch/export/pt2_archive/_package.py:586] Expect archive file to be a file ending in .pt2, or is a buffer. Instead got {/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmpg3b9cm__}
2025-09-07T07:28:26.8376790Z W0907 07:23:32.988000 97199 torch/export/pt2_archive/_package.py:943] Unable to load package. f must be a buffer or a file ending in .pt2. Instead got {/var/folders/bm/fnn3xd1d39lcpbxrgwys1c140000gn/T/tmpg3b9cm__}
2025-09-07T07:28:26.8377370Z PASSED [0.3622s] [ 62%]
2025-09-07T07:28:26.8377770Z test_quantization.py::TestQuantizePT2E::test_shared_qspec <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4368s] [ 62%]
2025-09-07T07:28:26.8378450Z test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.4196s] [ 62%]
2025-09-07T07:28:26.8379170Z test_quantization.py::TestQuantizePT2E::test_shared_qspec_transitivity_case_2 <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0449s] [ 62%]
2025-09-07T07:28:26.8379870Z test_quantization.py::TestQuantizePT2E::test_simple_quantizer <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0274s] [ 62%]
2025-09-07T07:28:26.8380650Z test_quantization.py::TestQuantizePT2E::test_speed <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0281s] [ 62%]
2025-09-07T07:28:26.8381340Z test_quantization.py::TestQuantizePT2E::test_transform_for_annotation <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0146s] [ 62%]
2025-09-07T07:28:26.8382060Z test_quantization.py::TestQuantizePT2E::test_wo_annotate_conv_output_quantizer <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0236s] [ 62%]
2025-09-07T07:28:26.8382850Z test_quantization.py::TestQuantizePT2EAffineQuantization::test_channel_group_quantization <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.3923s] [ 62%]
2025-09-07T07:28:26.8383720Z test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_affine_act_per_channel_weights <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0242s] [ 62%]
2025-09-07T07:28:26.8384590Z test_quantization.py::TestQuantizePT2EAffineQuantization::test_dynamic_per_tok_act_per_group_weights <- test/quantization/pt2e/test_quantize_pt2e.py PASSED [0.0226s] [ 62%]
2025-09-07T07:28:26.8385430Z test_quantization.py::TestPT2ERepresentation::test_add <- test/quantization/pt2e/test_representation.py PASSED [4.2945s] [ 62%]
2025-09-07T07:28:26.8386180Z test_quantization.py::TestPT2ERepresentation::test_add_relu <- test/quantization/pt2e/test_representation.py PASSED [0.9628s] [ 63%]
2025-09-07T07:28:26.8386850Z test_quantization.py::TestPT2ERepresentation::test_conv2d <- test/quantization/pt2e/test_representation.py PASSED [1.2480s] [ 63%]
2025-09-07T07:28:26.8387530Z test_quantization.py::TestPT2ERepresentation::test_dynamic_linear <- test/quantization/pt2e/test_representation.py PASSED [1.1948s] [ 63%]
2025-09-07T07:28:26.8388260Z test_quantization.py::TestPT2ERepresentation::test_maxpool2d <- test/quantization/pt2e/test_representation.py PASSED [1.9020s] [ 63%]
2025-09-07T07:28:26.8388930Z test_quantization.py::TestPT2ERepresentation::test_qdq <- test/quantization/pt2e/test_representation.py PASSED [0.9172s] [ 63%]
2025-09-07T07:28:26.8389710Z test_quantization.py::TestPT2ERepresentation::test_qdq_per_channel <- test/quantization/pt2e/test_representation.py PASSED [5.6719s] [ 63%]
2025-09-07T07:28:26.8390420Z test_quantization.py::TestPT2ERepresentation::test_static_linear <- test/quantization/pt2e/test_representation.py PASSED [1.0381s] [ 63%]
2025-09-07T07:28:26.8391130Z test_quantization.py::TestXNNPACKQuantizer::test_add_and_inplace_add <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0633s] [ 63%]
2025-09-07T07:28:26.8391820Z test_quantization.py::TestXNNPACKQuantizer::test_add_mul_long <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0264s] [ 63%]
2025-09-07T07:28:26.8392520Z test_quantization.py::TestXNNPACKQuantizer::test_add_mul_scalar <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0986s] [ 63%]
2025-09-07T07:28:26.8393220Z test_quantization.py::TestXNNPACKQuantizer::test_cat_same_node <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0361s] [ 63%]
2025-09-07T07:28:26.8393900Z test_quantization.py::TestXNNPACKQuantizer::test_conv1d <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1296s] [ 63%]
2025-09-07T07:28:26.8394600Z test_quantization.py::TestXNNPACKQuantizer::test_conv1d_with_conv2d <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1442s] [ 63%]
2025-09-07T07:28:26.8395290Z test_quantization.py::TestXNNPACKQuantizer::test_conv2d <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0594s] [ 63%]
2025-09-07T07:28:26.8395970Z test_quantization.py::TestXNNPACKQuantizer::test_conv_linear <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.5748s] [ 64%]
2025-09-07T07:28:26.8396690Z test_quantization.py::TestXNNPACKQuantizer::test_conv_linear_no_permute <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.2887s] [ 64%]
2025-09-07T07:28:26.8397410Z test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [1.7544s] [ 64%]
2025-09-07T07:28:26.8398290Z test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_int4_weight <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1780s] [ 64%]
2025-09-07T07:28:26.8399080Z test_quantization.py::TestXNNPACKQuantizer::test_dynamic_linear_with_conv <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0882s] [ 64%]
2025-09-07T07:28:26.8400470Z test_quantization.py::TestXNNPACKQuantizer::test_gru <- test/quantization/pt2e/test_xnnpack_quantizer.py SKIPPED [0.0004s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/158116 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 64%]
2025-09-07T07:28:26.8401820Z test_quantization.py::TestXNNPACKQuantizer::test_linear <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [1.0787s] [ 64%]
2025-09-07T07:28:26.8403230Z test_quantization.py::TestXNNPACKQuantizer::test_linear_gru <- test/quantization/pt2e/test_xnnpack_quantizer.py SKIPPED [0.0005s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/158332 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 64%]
2025-09-07T07:28:26.8404660Z test_quantization.py::TestXNNPACKQuantizer::test_linear_relu <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [1.5862s] [ 64%]
2025-09-07T07:28:26.8405380Z test_quantization.py::TestXNNPACKQuantizer::test_linear_with_dynamic_shape <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.9027s] [ 64%]
2025-09-07T07:28:26.8406120Z test_quantization.py::TestXNNPACKQuantizer::test_mul_and_inplace_mul <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0611s] [ 64%]
2025-09-07T07:28:26.8406820Z test_quantization.py::TestXNNPACKQuantizer::test_mul_float32_max <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0173s] [ 64%]
2025-09-07T07:28:26.8407590Z test_quantization.py::TestXNNPACKQuantizer::test_obs_sharing_ops <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1085s] [ 64%]
2025-09-07T07:28:26.8408310Z test_quantization.py::TestXNNPACKQuantizer::test_propagate_annotation <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1139s] [ 65%]
2025-09-07T07:28:26.8409030Z test_quantization.py::TestXNNPACKQuantizer::test_qat_dynamic_linear <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.3680s] [ 65%]
2025-09-07T07:28:26.8409750Z test_quantization.py::TestXNNPACKQuantizer::test_set_module_name <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1084s] [ 65%]
2025-09-07T07:28:26.8410490Z test_quantization.py::TestXNNPACKQuantizer::test_set_module_name_with_underscores <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.0294s] [ 65%]
2025-09-07T07:28:26.8411230Z test_quantization.py::TestXNNPACKQuantizer::test_set_module_type <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.1030s] [ 65%]
2025-09-07T07:28:26.8411950Z test_quantization.py::TestXNNPACKQuantizer::test_set_module_type_case_2 <- test/quantization/pt2e/test_xnnpack_quantizer.py PASSED [0.8172s] [ 65%]
2025-09-07T07:28:26.8412710Z test_quantization.py::TestXNNPACKQuantizerModels::test_resnet18 <- test/quantization/pt2e/test_xnnpack_quantizer.py SKIPPED [0.0002s] (no torchvision) [ 65%]
2025-09-07T07:28:26.8413620Z test_quantization.py::TestQuantizePT2EX86Inductor::test_adaptive_avg_pool2d_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0011s] (Quantized operations require X86.) [ 65%]
2025-09-07T07:28:26.8414590Z test_quantization.py::TestQuantizePT2EX86Inductor::test_attention_block <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 65%]
2025-09-07T07:28:26.8415690Z test_quantization.py::TestQuantizePT2EX86Inductor::test_avg_pool2d_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 65%]
2025-09-07T07:28:26.8416670Z test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0010s] (Quantized operations require X86.) [ 65%]
2025-09-07T07:28:26.8417610Z test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_same_inputs <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 65%]
2025-09-07T07:28:26.8418580Z test_quantization.py::TestQuantizePT2EX86Inductor::test_cat_recipe_single_input <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 65%]
2025-09-07T07:28:26.8419510Z test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 65%]
2025-09-07T07:28:26.8420510Z test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 66%]
2025-09-07T07:28:26.8421520Z test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary2 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 66%]
2025-09-07T07:28:26.8422460Z test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_binary_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 66%]
2025-09-07T07:28:26.8423430Z test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_serials_binary_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 66%]
2025-09-07T07:28:26.8424390Z test_quantization.py::TestQuantizePT2EX86Inductor::test_conv2d_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0011s] (Quantized operations require X86.) [ 66%]
2025-09-07T07:28:26.8425410Z test_quantization.py::TestQuantizePT2EX86Inductor::test_dynamic_quant_linear <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0022s] (Quantized operations require X86.) [ 66%]
2025-09-07T07:28:26.8426370Z test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_conv2d_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0010s] (Quantized operations require X86.) [ 66%]
2025-09-07T07:28:26.8427320Z test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_linear_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 66%]
2025-09-07T07:28:26.8428300Z test_quantization.py::TestQuantizePT2EX86Inductor::test_filter_maxpool2d_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0011s] (Quantized operations require X86.) [ 66%]
2025-09-07T07:28:26.8429260Z test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0018s] (Quantized operations require X86.) [ 66%]
2025-09-07T07:28:26.8430200Z test_quantization.py::TestQuantizePT2EX86Inductor::test_flatten_recipe2 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0010s] (Quantized operations require X86.) [ 66%]
2025-09-07T07:28:26.8431120Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 66%]
2025-09-07T07:28:26.8432020Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 66%]
2025-09-07T07:28:26.8432950Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary2 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 67%]
2025-09-07T07:28:26.8434010Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 67%]
2025-09-07T07:28:26.8435000Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_dynamic_qat <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 67%]
2025-09-07T07:28:26.8435960Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_qat <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 67%]
2025-09-07T07:28:26.8436900Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 67%]
2025-09-07T07:28:26.8437880Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 67%]
2025-09-07T07:28:26.8438940Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_dynamic_qat <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0009s] (Quantized operations require X86.) [ 67%]
2025-09-07T07:28:26.8439970Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_qat <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 67%]
2025-09-07T07:28:26.8440950Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_binary_unary_serials <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 67%]
2025-09-07T07:28:26.8441920Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_dynamic_fp16 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 67%]
2025-09-07T07:28:26.8442860Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 67%]
2025-09-07T07:28:26.8443860Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 67%]
2025-09-07T07:28:26.8444830Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_dynamic_qat <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 67%]
2025-09-07T07:28:26.8445770Z test_quantization.py::TestQuantizePT2EX86Inductor::test_linear_unary_qat <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 68%]
2025-09-07T07:28:26.8446700Z test_quantization.py::TestQuantizePT2EX86Inductor::test_lowering_to_x86 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 68%]
2025-09-07T07:28:26.8447640Z test_quantization.py::TestQuantizePT2EX86Inductor::test_maxpool2d_recipe <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0014s] (Quantized operations require X86.) [ 68%]
2025-09-07T07:28:26.8448570Z test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 68%]
2025-09-07T07:28:26.8449490Z test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 68%]
2025-09-07T07:28:26.8450420Z test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary2 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 68%]
2025-09-07T07:28:26.8451470Z test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_binary_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 68%]
2025-09-07T07:28:26.8452510Z test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_conv2d_unary <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0003s] (test is slow; run with PYTORCH_TEST_WITH_SLOW to enable test) [ 68%]
2025-09-07T07:28:26.8453510Z test_quantization.py::TestQuantizePT2EX86Inductor::test_qat_dynamic_quant_linear <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 68%]
2025-09-07T07:28:26.8454510Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_case1 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 68%]
2025-09-07T07:28:26.8455540Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_case2 <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 68%]
2025-09-07T07:28:26.8456660Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_and_module_type_with_mixed_configs <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 68%]
2025-09-07T07:28:26.8457740Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 68%]
2025-09-07T07:28:26.8458750Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig_for_dynamic_quant <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 68%]
2025-09-07T07:28:26.8459800Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_qconfig_with_underscores <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0008s] (Quantized operations require X86.) [ 69%]
2025-09-07T07:28:26.8460840Z test_quantization.py::TestQuantizePT2EX86Inductor::test_set_module_name_with_mixed_configs <- test/quantization/pt2e/test_x86inductor_quantizer.py SKIPPED [0.0007s] (Quantized operations require X86.) [ 69%]
2025-09-07T07:28:26.8461790Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_add_node <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [4.8959s] [ 69%]
2025-09-07T07:28:26.8462560Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_fold_bn_erases_bn_node <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [5.1079s] [ 69%]
2025-09-07T07:28:26.8463340Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_bias_derived_qspec <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [4.7072s] [ 69%]
2025-09-07T07:28:26.8464110Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [12.6443s] [ 69%]
2025-09-07T07:28:26.8464910Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_cuda <- test/quantization/pt2e/test_quantize_pt2e_qat.py SKIPPED [0.0003s] (CUDA unavailable) [ 69%]
2025-09-07T07:28:26.8465740Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_literal_args <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [11.6355s] [ 69%]
2025-09-07T07:28:26.8466550Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_fusion_no_conv_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [21.6852s] [ 69%]
2025-09-07T07:28:26.8467350Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_per_channel_weight_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [4.4242s] [ 69%]
2025-09-07T07:28:26.8468140Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [11.3063s] [ 69%]
2025-09-07T07:28:26.8469050Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_cuda <- test/quantization/pt2e/test_quantize_pt2e_qat.py SKIPPED [0.0001s] (CUDA unavailable) [ 69%]
2025-09-07T07:28:26.8469920Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_bn_relu_fusion_no_conv_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [11.3001s] [ 69%]
2025-09-07T07:28:26.8470690Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_no_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [2.2200s] [ 70%]
2025-09-07T07:28:26.8471420Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [9.8344s] [ 70%]
2025-09-07T07:28:26.8472190Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_conv_transpose_bn_relu <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [9.4382s] [ 70%]
2025-09-07T07:28:26.8472960Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_inplace_add_relu <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [1.3373s] [ 70%]
2025-09-07T07:28:26.8473790Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_per_channel_weight_custom_dtype <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [4.6603s] [ 70%]
2025-09-07T07:28:26.8474640Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_preserve_source_fn_stack <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [5.3612s] [ 70%]
2025-09-07T07:28:26.8475420Z test_quantization.py::TestQuantizePT2EQAT_ConvBn1d::test_qat_update_shared_qspec <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [10.1241s] [ 70%]
2025-09-07T07:28:26.8476180Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_add_node <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [4.3115s] [ 70%]
2025-09-07T07:28:26.8476940Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_fold_bn_erases_bn_node <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [4.9074s] [ 70%]
2025-09-07T07:28:26.8477710Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_bias_derived_qspec <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [4.6427s] [ 70%]
2025-09-07T07:28:26.8478530Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [11.2338s] [ 70%]
2025-09-07T07:28:26.8479320Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_cuda <- test/quantization/pt2e/test_quantize_pt2e_qat.py SKIPPED [0.0001s] (CUDA unavailable) [ 70%]
2025-09-07T07:28:26.8480150Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_literal_args <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [11.8465s] [ 70%]
2025-09-07T07:28:26.8480950Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_fusion_no_conv_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [21.9444s] [ 71%]
2025-09-07T07:28:26.8481750Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_per_channel_weight_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [4.7502s] [ 71%]
2025-09-07T07:28:26.8482540Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [11.2336s] [ 71%]
2025-09-07T07:28:26.8483360Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_cuda <- test/quantization/pt2e/test_quantize_pt2e_qat.py SKIPPED [0.0001s] (CUDA unavailable) [ 71%]
2025-09-07T07:28:26.8484200Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_bn_relu_fusion_no_conv_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [11.9914s] [ 71%]
2025-09-07T07:28:26.8484970Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_no_bias <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [1.7993s] [ 71%]
2025-09-07T07:28:26.8485720Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_transpose_bn <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [9.7744s] [ 71%]
2025-09-07T07:28:26.8486600Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_conv_transpose_bn_relu <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [9.7724s] [ 71%]
2025-09-07T07:28:26.8487400Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_inplace_add_relu <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [1.3387s] [ 71%]
2025-09-07T07:28:26.8488210Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_per_channel_weight_custom_dtype <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [4.9820s] [ 71%]
2025-09-07T07:28:26.8489020Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_preserve_source_fn_stack <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [4.8349s] [ 71%]
2025-09-07T07:28:26.8489800Z test_quantization.py::TestQuantizePT2EQAT_ConvBn2d::test_qat_update_shared_qspec <- test/quantization/pt2e/test_quantize_pt2e_qat.py PASSED [10.6391s] [ 71%]
2025-09-07T07:28:26.8490780Z test_quantization.py::TestQuantizePT2EQATModels::test_qat_mobilenet_v2 <- test/quantization/pt2e/test_quantize_pt2e_qat.py SKIPPED [0.0001s] (no torchvision) [ 71%]
2025-09-07T07:28:26.8491710Z test_quantization.py::TestQuantizePT2EQATModels::test_qat_resnet18 <- test/quantization/pt2e/test_quantize_pt2e_qat.py SKIPPED [0.0001s] (no torchvision) [ 71%]
2025-09-07T07:28:26.8492720Z test_quantization.py::TestFXGraphMatcher::test_dict_return_type <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-09-07T07:28:26.8493990Z test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_count <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-09-07T07:28:26.8495260Z test_quantization.py::TestFXGraphMatcher::test_matching_failure_node_type <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-09-07T07:28:26.8496290Z test_quantization.py::TestFXGraphMatcher::test_methods <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0336s] [ 72%]
2025-09-07T07:28:26.8497220Z test_quantization.py::TestFXGraphMatcher::test_nodes_before_cat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-09-07T07:28:26.8498470Z test_quantization.py::TestFXGraphMatcher::test_nodes_with_equal_types_get_matched <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-09-07T07:28:26.8499480Z test_quantization.py::TestFXGraphMatcher::test_op_relationship_mapping <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0036s] [ 72%]
2025-09-07T07:28:26.8500450Z test_quantization.py::TestFXGraphMatcher::test_results_order <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-09-07T07:28:26.8501640Z test_quantization.py::TestFXGraphMatcher::test_simple_fun <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-09-07T07:28:26.8502840Z test_quantization.py::TestFXGraphMatcher::test_simple_fusion <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-09-07T07:28:26.8504130Z test_quantization.py::TestFXGraphMatcher::test_simple_mod <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-09-07T07:28:26.8505360Z test_quantization.py::TestFXGraphMatcher::test_simple_mod_multi <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-09-07T07:28:26.8506570Z test_quantization.py::TestFXGraphMatcher::test_simple_tensor_ops <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 72%]
2025-09-07T07:28:26.8507790Z test_quantization.py::TestFXGraphMatcher::test_user_defined_function <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-09-07T07:28:26.8508860Z test_quantization.py::TestFXGraphMatcherModels::test_mobilenet_v2 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (no torchvision) [ 73%]
2025-09-07T07:28:26.8509690Z test_quantization.py::TestFXGraphMatcherModels::test_mobilenet_v2_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (no torchvision) [ 73%]
2025-09-07T07:28:26.8510490Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_loggers_cuda <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (CUDA unavailable) [ 73%]
2025-09-07T07:28:26.8511560Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_mul_inputs_activations <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-09-07T07:28:26.8512640Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_cuda <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (CUDA unavailable) [ 73%]
2025-09-07T07:28:26.8513790Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-09-07T07:28:26.8515090Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_fun_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-09-07T07:28:26.8516390Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_meth_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-09-07T07:28:26.8517690Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-09-07T07:28:26.8518990Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_add_shadow_loggers_mod_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0019s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-09-07T07:28:26.8520330Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extend_logger_results_with_comparison <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-09-07T07:28:26.8521760Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-09-07T07:28:26.8522400Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_conv_fun_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 73%]
2025-09-07T07:28:26.8522780Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_cuda <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (CUDA unavailable) [ 74%]
2025-09-07T07:28:26.8523400Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_dynamic <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-09-07T07:28:26.8524050Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_fqn <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-09-07T07:28:26.8524720Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-09-07T07:28:26.8525340Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_linear_fun_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-09-07T07:28:26.8525960Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-09-07T07:28:26.8526620Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_extract_weights_mod_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-09-07T07:28:26.8526950Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_fp16_shadows_fp32 <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0328s] [ 74%]
2025-09-07T07:28:26.8527570Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_coverage <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-09-07T07:28:26.8528180Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_fp32_simple <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-09-07T07:28:26.8528790Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_fun <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-09-07T07:28:26.8529400Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_int8_shadows_int8_mod <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-09-07T07:28:26.8529980Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_layer_names <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0010s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 74%]
2025-09-07T07:28:26.8530650Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_activations <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-09-07T07:28:26.8531280Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_shadow_activations <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-09-07T07:28:26.8531950Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_vs_linear_fp16_shadow_activations <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-09-07T07:28:26.8532580Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_fp16_weights <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-09-07T07:28:26.8532950Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_linear_kwargs_shadow <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0275s] [ 75%]
2025-09-07T07:28:26.8533570Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_loggers_preserve_qat_numerics <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-09-07T07:28:26.8534170Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_logging_inputs <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-09-07T07:28:26.8534790Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fqn <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-09-07T07:28:26.8535440Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-09-07T07:28:26.8536060Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_fun_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-09-07T07:28:26.8536670Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_meth_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-09-07T07:28:26.8537300Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_ptq <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-09-07T07:28:26.8537910Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_match_activations_mod_qat <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 75%]
2025-09-07T07:28:26.8538270Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_mul_add_cat_stack_skips_shadowing <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.4479s] [ 76%]
2025-09-07T07:28:26.8538600Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_io_dtype_coverage <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0040s] [ 76%]
2025-09-07T07:28:26.8539310Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_either_fp32_or_int8_input <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-09-07T07:28:26.8539690Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_op_with_only_kwargs_skips_shadowing <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.1186s] [ 76%]
2025-09-07T07:28:26.8540330Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_ops_with_same_fp32_and_int8_signature <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-09-07T07:28:26.8541000Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_activations_fqn <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-09-07T07:28:26.8541690Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_shadow_loggers_preserve_qat_numerics <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-09-07T07:28:26.8542070Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_unsupported_op_copy_skips_shadowing <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.1708s] [ 76%]
2025-09-07T07:28:26.8542680Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_defined_function <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-09-07T07:28:26.8543280Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-09-07T07:28:26.8543950Z test_quantization.py::TestFXNumericSuiteCoreAPIs::test_user_module_scriptable <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 76%]
2025-09-07T07:28:26.8545000Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_fp32 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/158762 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 76%]
2025-09-07T07:28:26.8546070Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_conv_bn_relu_fusion_quant <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/127814 for platform(s) dynamo, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 76%]
2025-09-07T07:28:26.8547090Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_functions <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/140380 for platform(s) dynamo, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 76%]
2025-09-07T07:28:26.8548180Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_fp32 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/159036 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-09-07T07:28:26.8549240Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_fp32_quant <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/142860 for platform(s) dynamo, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-09-07T07:28:26.8550300Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_fp32 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/159152 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-09-07T07:28:26.8551390Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_linear_mod_quant_quant <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/142172 for platform(s) dynamo, mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-09-07T07:28:26.8551780Z test_quantization.py::TestFXNumericSuiteNShadows::test_add_loggers_mobilenet_v2 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (no torchvision) [ 77%]
2025-09-07T07:28:26.8552800Z test_quantization.py::TestFXNumericSuiteNShadows::test_conv_bn_relu_mod <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/159470 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-09-07T07:28:26.8553810Z test_quantization.py::TestFXNumericSuiteNShadows::test_custom_functions_and_tracer <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0002s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/160346 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-09-07T07:28:26.8554820Z test_quantization.py::TestFXNumericSuiteNShadows::test_extract_weights_linear <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0003s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/160446 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-09-07T07:28:26.8555790Z test_quantization.py::TestFXNumericSuiteNShadows::test_functions <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0003s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/160620 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-09-07T07:28:26.8556820Z test_quantization.py::TestFXNumericSuiteNShadows::test_linear_mod <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0003s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/160717 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-09-07T07:28:26.8557810Z test_quantization.py::TestFXNumericSuiteNShadows::test_linear_relu_mod <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0003s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/160880 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-09-07T07:28:26.8558890Z test_quantization.py::TestFXNumericSuiteNShadows::test_logger_enabled_and_save_activations_flags <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0003s] (Test is disabled because an issue exists disabling it: https://github.com/pytorch/pytorch/issues/162249 for platform(s) mac, macos. If you're seeing this on your local machine and would like to enable this test, please make sure CI is not set and you are not using the flag --import-disabled-tests.) [ 77%]
2025-09-07T07:28:26.8559280Z test_quantization.py::TestFXNumericSuiteNShadows::test_mobilenet_v2 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (no torchvision) [ 77%]
2025-09-07T07:28:26.8559630Z test_quantization.py::TestFXNumericSuiteNShadows::test_partial_qconfig_mapping <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0159s] [ 78%]
2025-09-07T07:28:26.8560000Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_deduplication <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0009s] [ 78%]
2025-09-07T07:28:26.8560740Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_end_to_end <- test/quantization/fx/test_numeric_suite_fx.py [W907 07:28:22.701790000 qlinear_dynamic.cpp:251] Warning: Currently, qnnpack incorrectly ignores reduce_range when it is set to true; this may change in a future release. (function operator())
2025-09-07T07:28:26.8560820Z PASSED [0.0298s] [ 78%]
2025-09-07T07:28:26.8561180Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_from_list <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0295s] [ 78%]
2025-09-07T07:28:26.8561560Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_insert_padding <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0009s] [ 78%]
2025-09-07T07:28:26.8561920Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_ordering <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0385s] [ 78%]
2025-09-07T07:28:26.8562260Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_repr <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0009s] [ 78%]
2025-09-07T07:28:26.8562660Z test_quantization.py::TestFXNumericSuiteNShadows::test_qconfig_multi_mapping_retroactive_padding <- test/quantization/fx/test_numeric_suite_fx.py PASSED [0.0008s] [ 78%]
2025-09-07T07:28:26.8563300Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_conv <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 78%]
2025-09-07T07:28:26.8563950Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_linear <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 78%]
2025-09-07T07:28:26.8564650Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_activations_lstm_dynamic <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 78%]
2025-09-07T07:28:26.8565320Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_conv <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 78%]
2025-09-07T07:28:26.8565980Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_linear <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0016s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 78%]
2025-09-07T07:28:26.8566660Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_shadow_activations_lstm_dynamic <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 78%]
2025-09-07T07:28:26.8567310Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_conv <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 79%]
2025-09-07T07:28:26.8567970Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_linear <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 79%]
2025-09-07T07:28:26.8568610Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_compare_weights_lstm_dynamic <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 79%]
2025-09-07T07:28:26.8569020Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_mobilenet_v2 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (no torchvision) [ 79%]
2025-09-07T07:28:26.8569400Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_resnet18 <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0001s] (no torchvision) [ 79%]
2025-09-07T07:28:26.8570050Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_compare_activations <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 79%]
2025-09-07T07:28:26.8570670Z test_quantization.py::TestFXNumericSuiteCoreAPIsModels::test_sparsenn_shadow <- test/quantization/fx/test_numeric_suite_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 79%]
2025-09-07T07:28:26.8571020Z test_quantization.py::TestFxModelReportDetector::test_conv_sub_class_considered <- test/quantization/fx/test_model_report_fx.py PASSED [0.0139s] [ 79%]
2025-09-07T07:28:26.8571640Z test_quantization.py::TestFxModelReportDetector::test_fusion_layer_in_sequential <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 79%]
2025-09-07T07:28:26.8572010Z test_quantization.py::TestFxModelReportDetector::test_multi_linear_model_without_per_channel <- test/quantization/fx/test_model_report_fx.py PASSED [0.0081s] [ 79%]
2025-09-07T07:28:26.8572350Z test_quantization.py::TestFxModelReportDetector::test_multiple_q_config_options <- test/quantization/fx/test_model_report_fx.py PASSED [0.0098s] [ 79%]
2025-09-07T07:28:26.8572690Z test_quantization.py::TestFxModelReportDetector::test_qat_aware_model_example <- test/quantization/fx/test_model_report_fx.py PASSED [0.0046s] [ 79%]
2025-09-07T07:28:26.8573110Z test_quantization.py::TestFxModelReportDetector::test_sequential_model_format <- test/quantization/fx/test_model_report_fx.py PASSED [0.0108s] [ 79%]
2025-09-07T07:28:26.8573710Z test_quantization.py::TestFxModelReportDetector::test_simple_conv <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-09-07T07:28:26.8574040Z test_quantization.py::TestFxModelReportObserver::test_observer_after_relu <- test/quantization/fx/test_model_report_fx.py PASSED [0.0063s] [ 80%]
2025-09-07T07:28:26.8574380Z test_quantization.py::TestFxModelReportObserver::test_random_epochs_and_batches <- test/quantization/fx/test_model_report_fx.py PASSED [0.0368s] [ 80%]
2025-09-07T07:28:26.8574700Z test_quantization.py::TestFxModelReportObserver::test_single_batch_of_ones <- test/quantization/fx/test_model_report_fx.py PASSED [0.0016s] [ 80%]
2025-09-07T07:28:26.8575080Z test_quantization.py::TestFxModelReportObserver::test_zero_tensor_errors <- test/quantization/fx/test_model_report_fx.py PASSED [0.0041s] [ 80%]
2025-09-07T07:28:26.8575780Z test_quantization.py::TestFxModelReportDetectDynamicStatic::test_nested_detection_case <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-09-07T07:28:26.8576350Z test_quantization.py::TestFxModelReportClass::test_constructor <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-09-07T07:28:26.8576980Z test_quantization.py::TestFxModelReportClass::test_equalization_mapping_generation <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-09-07T07:28:26.8577570Z test_quantization.py::TestFxModelReportClass::test_generate_report <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-09-07T07:28:26.8578220Z test_quantization.py::TestFxModelReportClass::test_generate_visualizer <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-09-07T07:28:26.8578830Z test_quantization.py::TestFxModelReportClass::test_prepare_model_callibration <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-09-07T07:28:26.8579440Z test_quantization.py::TestFxModelReportClass::test_qconfig_mapping_generation <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-09-07T07:28:26.8580130Z test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_determine_points <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 80%]
2025-09-07T07:28:26.8580810Z test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-09-07T07:28:26.8581500Z test_quantization.py::TestFxDetectInputWeightEqualization::test_input_weight_equalization_report_gen_empty <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-09-07T07:28:26.8582160Z test_quantization.py::TestFxDetectOutliers::test_all_outlier_report_gen <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-09-07T07:28:26.8582820Z test_quantization.py::TestFxDetectOutliers::test_multiple_run_consistent_spike_outlier_report_gen <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-09-07T07:28:26.8583410Z test_quantization.py::TestFxDetectOutliers::test_no_outlier_report_gen <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-09-07T07:28:26.8584070Z test_quantization.py::TestFxDetectOutliers::test_outlier_detection_determine_points <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-09-07T07:28:26.8584740Z test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_match_with_report <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-09-07T07:28:26.8585360Z test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_no_match <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-09-07T07:28:26.8586000Z test_quantization.py::TestFxModelReportVisualizer::test_generate_tables_single_feat_match <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-09-07T07:28:26.8586660Z test_quantization.py::TestFxModelReportVisualizer::test_get_modules_and_features <- test/quantization/fx/test_model_report_fx.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-09-07T07:28:26.8586960Z test_quantization.py::TestEqualizeFx::test_input_weight_eq_observer <- test/quantization/fx/test_equalize_fx.py PASSED [0.0723s] [ 81%]
2025-09-07T07:28:26.8587300Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_activation_values <- test/quantization/fx/test_equalize_fx.py PASSED [0.0220s] [ 81%]
2025-09-07T07:28:26.8587630Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_branching <- test/quantization/fx/test_equalize_fx.py PASSED [0.0135s] [ 81%]
2025-09-07T07:28:26.8588250Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_convert <- test/quantization/fx/test_equalize_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 81%]
2025-09-07T07:28:26.8588610Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_equalization_scales <- test/quantization/fx/test_equalize_fx.py PASSED [0.0288s] [ 82%]
2025-09-07T07:28:26.8589190Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_graphs <- test/quantization/fx/test_equalize_fx.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 82%]
2025-09-07T07:28:26.8589510Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_prepare <- test/quantization/fx/test_equalize_fx.py PASSED [0.1027s] [ 82%]
2025-09-07T07:28:26.8590170Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_results <- test/quantization/fx/test_equalize_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 82%]
2025-09-07T07:28:26.8590510Z test_quantization.py::TestEqualizeFx::test_input_weight_equalization_weights_bias <- test/quantization/fx/test_equalize_fx.py PASSED [0.0299s] [ 82%]
2025-09-07T07:28:26.8591080Z test_quantization.py::TestEqualizeFx::test_selective_equalization <- test/quantization/fx/test_equalize_fx.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 82%]
2025-09-07T07:28:26.8591500Z test_quantization.py::TestSerialization::test_conv2d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 82%]
2025-09-07T07:28:26.8591930Z test_quantization.py::TestSerialization::test_conv2d_graph <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 82%]
2025-09-07T07:28:26.8592390Z test_quantization.py::TestSerialization::test_conv2d_graph_v2 <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 82%]
2025-09-07T07:28:26.8592850Z test_quantization.py::TestSerialization::test_conv2d_graph_v3 <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 82%]
2025-09-07T07:28:26.8593270Z test_quantization.py::TestSerialization::test_conv2d_nobias <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 82%]
2025-09-07T07:28:26.8598060Z test_quantization.py::TestSerialization::test_conv2d_nobias_graph <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 82%]
2025-09-07T07:28:26.8598560Z test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v2 <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 82%]
2025-09-07T07:28:26.8599130Z test_quantization.py::TestSerialization::test_conv2d_nobias_graph_v3 <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 83%]
2025-09-07T07:28:26.8599550Z test_quantization.py::TestSerialization::test_conv2d_relu <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 83%]
2025-09-07T07:28:26.8599960Z test_quantization.py::TestSerialization::test_conv3d <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 83%]
2025-09-07T07:28:26.8600380Z test_quantization.py::TestSerialization::test_conv3d_relu <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 83%]
2025-09-07T07:28:26.8600710Z test_quantization.py::TestSerialization::test_default_qat_qconfig <- test/quantization/bc/test_backward_compatibility.py PASSED [0.0078s] [ 83%]
2025-09-07T07:28:26.8601110Z test_quantization.py::TestSerialization::test_linear <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 83%]
2025-09-07T07:28:26.8601540Z test_quantization.py::TestSerialization::test_linear_dynamic <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 83%]
2025-09-07T07:28:26.8601950Z test_quantization.py::TestSerialization::test_linear_relu <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 83%]
2025-09-07T07:28:26.8602680Z test_quantization.py::TestSerialization::test_linear_relu_package_quantization_transforms <- test/quantization/bc/test_backward_compatibility.py SKIPPED [0.0006s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 83%]
2025-09-07T07:28:26.8603100Z test_quantization.py::TestSerialization::test_lstm <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0006s] [ 83%]
2025-09-07T07:28:26.8603420Z test_quantization.py::TestSerialization::test_per_channel_observer <- test/quantization/bc/test_backward_compatibility.py PASSED [0.0032s] [ 83%]
2025-09-07T07:28:26.8603740Z test_quantization.py::TestSerialization::test_per_tensor_observer <- test/quantization/bc/test_backward_compatibility.py PASSED [0.0032s] [ 83%]
2025-09-07T07:28:26.8604140Z test_quantization.py::TestQuantizeJit::test_conv <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 83%]
2025-09-07T07:28:26.8604540Z test_quantization.py::TestQuantizeJit::test_conv_bn <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 84%]
2025-09-07T07:28:26.8604990Z test_quantization.py::TestQuantizeJit::test_conv_transpose <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 84%]
2025-09-07T07:28:26.8605590Z test_quantization.py::TestQuantizeJit::test_linear_dynamic_fp16 <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 84%]
2025-09-07T07:28:26.8605990Z test_quantization.py::TestQuantizeJit::test_nested <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 84%]
2025-09-07T07:28:26.8606580Z test_quantization.py::TestQuantizeJit::test_observer_with_ignored_function <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 84%]
2025-09-07T07:28:26.8607030Z test_quantization.py::TestQuantizeJit::test_single_linear <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 84%]
2025-09-07T07:28:26.8607470Z test_quantization.py::TestQuantizeJit::test_single_linear_dynamic <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 84%]
2025-09-07T07:28:26.8607880Z test_quantization.py::TestQuantizeJit::test_skip_quant <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 84%]
2025-09-07T07:28:26.8608170Z test_quantization.py::TestQuantizeJitPasses::test_conv_trace <- test/quantization/jit/test_quantize_jit.py PASSED [0.0272s] [ 84%]
2025-09-07T07:28:26.8608490Z test_quantization.py::TestQuantizeJitPasses::test_convtranspose_trace <- test/quantization/jit/test_quantize_jit.py PASSED [0.0257s] [ 84%]
2025-09-07T07:28:26.8608800Z test_quantization.py::TestQuantizeJitPasses::test_dedup_module_uses <- test/quantization/jit/test_quantize_jit.py PASSED [0.0071s] [ 84%]
2025-09-07T07:28:26.8609100Z test_quantization.py::TestQuantizeJitPasses::test_finalize_debug <- test/quantization/jit/test_quantize_jit.py PASSED [0.0240s] [ 84%]
2025-09-07T07:28:26.8609410Z test_quantization.py::TestQuantizeJitPasses::test_finalize_for_linear <- test/quantization/jit/test_quantize_jit.py PASSED [0.0220s] [ 84%]
2025-09-07T07:28:26.8609720Z test_quantization.py::TestQuantizeJitPasses::test_foldbn_complex_cases <- test/quantization/jit/test_quantize_jit.py PASSED [0.4100s] [ 84%]
2025-09-07T07:28:26.8610020Z test_quantization.py::TestQuantizeJitPasses::test_foldbn_in_submodule <- test/quantization/jit/test_quantize_jit.py PASSED [0.0328s] [ 85%]
2025-09-07T07:28:26.8610320Z test_quantization.py::TestQuantizeJitPasses::test_foldbn_no_fusion <- test/quantization/jit/test_quantize_jit.py PASSED [0.0034s] [ 85%]
2025-09-07T07:28:26.8610710Z test_quantization.py::TestQuantizeJitPasses::test_foldbn_shared_classtype <- test/quantization/jit/test_quantize_jit.py PASSED [0.0973s] [ 85%]
2025-09-07T07:28:26.8611020Z test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial <- test/quantization/jit/test_quantize_jit.py PASSED [0.0267s] [ 85%]
2025-09-07T07:28:26.8611330Z test_quantization.py::TestQuantizeJitPasses::test_foldbn_trivial_nobias <- test/quantization/jit/test_quantize_jit.py PASSED [0.0263s] [ 85%]
2025-09-07T07:28:26.8611620Z test_quantization.py::TestQuantizeJitPasses::test_fuse_linear <- test/quantization/jit/test_quantize_jit.py PASSED [0.0177s] [ 85%]
2025-09-07T07:28:26.8611920Z test_quantization.py::TestQuantizeJitPasses::test_inplace_option <- test/quantization/jit/test_quantize_jit.py PASSED [0.0465s] [ 85%]
2025-09-07T07:28:26.8612220Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers <- test/quantization/jit/test_quantize_jit.py PASSED [0.0138s] [ 85%]
2025-09-07T07:28:26.8612610Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_child_qconfig <- test/quantization/jit/test_quantize_jit.py PASSED [0.0151s] [ 85%]
2025-09-07T07:28:26.8612990Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_general_ops <- test/quantization/jit/test_quantize_jit.py PASSED [0.0126s] [ 85%]
2025-09-07T07:28:26.8613300Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if <- test/quantization/jit/test_quantize_jit.py PASSED [0.0440s] [ 85%]
2025-09-07T07:28:26.8613680Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_if_consistent_observation <- test/quantization/jit/test_quantize_jit.py PASSED [0.1150s] [ 85%]
2025-09-07T07:28:26.8614020Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_nested_if <- test/quantization/jit/test_quantize_jit.py PASSED [0.0439s] [ 85%]
2025-09-07T07:28:26.8614360Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_for_reused_weight <- test/quantization/jit/test_quantize_jit.py PASSED [0.0108s] [ 86%]
2025-09-07T07:28:26.8614740Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface <- test/quantization/jit/test_quantize_jit.py PASSED [0.0389s] [ 86%]
2025-09-07T07:28:26.8615100Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_interface_unshare_type <- test/quantization/jit/test_quantize_jit.py PASSED [0.0719s] [ 86%]
2025-09-07T07:28:26.8615450Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed <- test/quantization/jit/test_quantize_jit.py PASSED [0.0149s] [ 86%]
2025-09-07T07:28:26.8615840Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_for_function <- test/quantization/jit/test_quantize_jit.py PASSED [0.0156s] [ 86%]
2025-09-07T07:28:26.8616220Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_propagate_observed_in_submodule <- test/quantization/jit/test_quantize_jit.py PASSED [0.0168s] [ 86%]
2025-09-07T07:28:26.8616560Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_shared_class_type <- test/quantization/jit/test_quantize_jit.py PASSED [0.0146s] [ 86%]
2025-09-07T07:28:26.8617170Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_skip_values <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0001s] ( Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support avx2 or newer.) [ 86%]
2025-09-07T07:28:26.8617510Z test_quantization.py::TestQuantizeJitPasses::test_insert_observers_weight_dtype <- test/quantization/jit/test_quantize_jit.py PASSED [0.0126s] [ 86%]
2025-09-07T07:28:26.8617820Z test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant <- test/quantization/jit/test_quantize_jit.py PASSED [0.0432s] [ 86%]
2025-09-07T07:28:26.8618170Z test_quantization.py::TestQuantizeJitPasses::test_insert_quant_dequant_shared_class_type <- test/quantization/jit/test_quantize_jit.py PASSED [0.0476s] [ 86%]
2025-09-07T07:28:26.8618530Z test_quantization.py::TestQuantizeJitPasses::test_interface_with_fork <- test/quantization/jit/test_quantize_jit.py PASSED [0.0456s] [ 86%]
2025-09-07T07:28:26.8618830Z test_quantization.py::TestQuantizeJitPasses::test_module_list <- test/quantization/jit/test_quantize_jit.py PASSED [0.0286s] [ 86%]
2025-09-07T07:28:26.8619410Z test_quantization.py::TestQuantizeJitPasses::test_quantize_fork_wait <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0009s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 86%]
2025-09-07T07:28:26.8620020Z test_quantization.py::TestQuantizeJitPasses::test_replicate_dequant_same_value <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0001s] ( Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support avx2 or newer.) [ 87%]
2025-09-07T07:28:26.8620330Z test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize <- test/quantization/jit/test_quantize_jit.py PASSED [0.0037s] [ 87%]
2025-09-07T07:28:26.8620700Z test_quantization.py::TestQuantizeJitPasses::test_replicate_dequantize_in_block <- test/quantization/jit/test_quantize_jit.py PASSED [0.0037s] [ 87%]
2025-09-07T07:28:26.8621300Z test_quantization.py::TestQuantizeJitPasses::test_replicate_quantize_for_if <- test/quantization/jit/test_quantize_jit.py [W907 07:28:24.682320000 utils.py:435] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2025-09-07T07:28:26.8621580Z [W907 07:28:24.685084000 utils.py:435] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2025-09-07T07:28:26.8621850Z [W907 07:28:24.685181000 utils.py:435] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2025-09-07T07:28:26.8622110Z [W907 07:28:24.685228000 utils.py:435] Warning: must run observer before calling calculate_qparams. Returning default values. (function )
2025-09-07T07:28:26.8622170Z PASSED [0.0360s] [ 87%]
2025-09-07T07:28:26.8622530Z test_quantization.py::TestQuantizeJitPasses::test_skip_dequant_constant_prop <- test/quantization/jit/test_quantize_jit.py PASSED [0.0236s] [ 87%]
2025-09-07T07:28:26.8622850Z test_quantization.py::TestQuantizeJitPasses::test_swap_functional_linear <- test/quantization/jit/test_quantize_jit.py PASSED [0.0031s] [ 87%]
2025-09-07T07:28:26.8623410Z test_quantization.py::TestQuantizeJitOps::test_cat_linear <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 87%]
2025-09-07T07:28:26.8623950Z test_quantization.py::TestQuantizeJitOps::test_clamp <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 87%]
2025-09-07T07:28:26.8624410Z test_quantization.py::TestQuantizeJitOps::test_conv_with_benchmark_flag <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 87%]
2025-09-07T07:28:26.8624980Z test_quantization.py::TestQuantizeJitOps::test_dequantize_tuple <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 87%]
2025-09-07T07:28:26.8625400Z test_quantization.py::TestQuantizeJitOps::test_elu <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 87%]
2025-09-07T07:28:26.8625690Z test_quantization.py::TestQuantizeJitOps::test_general_shape_ops <- test/quantization/jit/test_quantize_jit.py PASSED [0.0422s] [ 87%]
2025-09-07T07:28:26.8625980Z test_quantization.py::TestQuantizeJitOps::test_general_value_ops <- test/quantization/jit/test_quantize_jit.py PASSED [0.1208s] [ 87%]
2025-09-07T07:28:26.8626460Z test_quantization.py::TestQuantizeJitOps::test_group_norm <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0009s] [ 88%]
2025-09-07T07:28:26.8626900Z test_quantization.py::TestQuantizeJitOps::test_hardswish <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 88%]
2025-09-07T07:28:26.8627320Z test_quantization.py::TestQuantizeJitOps::test_instance_norm <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 88%]
2025-09-07T07:28:26.8627740Z test_quantization.py::TestQuantizeJitOps::test_layer_norm <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 88%]
2025-09-07T07:28:26.8628290Z test_quantization.py::TestQuantizeJitOps::test_linear <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-09-07T07:28:26.8628880Z test_quantization.py::TestQuantizeJitOps::test_qbatch_norm <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-09-07T07:28:26.8629530Z test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncInplaceRelu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-09-07T07:28:26.8630120Z test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNFuncRelu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-09-07T07:28:26.8630700Z test_quantization.py::TestQuantizeJitOps::test_qbatch_norm_relu_BNRelu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-09-07T07:28:26.8631290Z test_quantization.py::TestQuantizeJitOps::test_quantized_add <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-09-07T07:28:26.8631870Z test_quantization.py::TestQuantizeJitOps::test_quantized_add_alpha <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-09-07T07:28:26.8632440Z test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-09-07T07:28:26.8633030Z test_quantization.py::TestQuantizeJitOps::test_quantized_add_relu_alpha <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 88%]
2025-09-07T07:28:26.8633600Z test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-09-07T07:28:26.8634190Z test_quantization.py::TestQuantizeJitOps::test_quantized_add_scalar_relu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-09-07T07:28:26.8634790Z test_quantization.py::TestQuantizeJitOps::test_quantized_cat <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-09-07T07:28:26.8635360Z test_quantization.py::TestQuantizeJitOps::test_quantized_conv <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-09-07T07:28:26.8635930Z test_quantization.py::TestQuantizeJitOps::test_quantized_conv_relu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-09-07T07:28:26.8636490Z test_quantization.py::TestQuantizeJitOps::test_quantized_mul <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-09-07T07:28:26.8637080Z test_quantization.py::TestQuantizeJitOps::test_quantized_mul_relu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-09-07T07:28:26.8637680Z test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-09-07T07:28:26.8638270Z test_quantization.py::TestQuantizeJitOps::test_quantized_mul_scalar_relu <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 89%]
2025-09-07T07:28:26.8638600Z test_quantization.py::TestQuantizeDynamicJitPasses::test_convert_dynamic_fp16 <- test/quantization/jit/test_quantize_jit.py PASSED [0.0074s] [ 89%]
2025-09-07T07:28:26.8639080Z test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_multi_op <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 89%]
2025-09-07T07:28:26.8639590Z test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_quant_multi_uses <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 89%]
2025-09-07T07:28:26.8640080Z test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_shared_weights <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 89%]
2025-09-07T07:28:26.8640420Z test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_weight_observer <- test/quantization/jit/test_quantize_jit.py PASSED [0.0381s] [ 89%]
2025-09-07T07:28:26.8640880Z test_quantization.py::TestQuantizeDynamicJitPasses::test_dynamic_with_if <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0008s] [ 90%]
2025-09-07T07:28:26.8641260Z test_quantization.py::TestQuantizeDynamicJitPasses::test_insert_quant_dequant_linear_dynamic <- test/quantization/jit/test_quantize_jit.py PASSED [0.0369s] [ 90%]
2025-09-07T07:28:26.8641590Z test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic <- test/quantization/jit/test_quantize_jit.py PASSED [0.0135s] [ 90%]
2025-09-07T07:28:26.8641960Z test_quantization.py::TestQuantizeDynamicJitPasses::test_prepare_dynamic_child_qconfig <- test/quantization/jit/test_quantize_jit.py PASSED [0.0130s] [ 90%]
2025-09-07T07:28:26.8642290Z test_quantization.py::TestQuantizeDynamicJitPasses::test_quantize_dynamic_fp16 <- test/quantization/jit/test_quantize_jit.py PASSED [0.0076s] [ 90%]
2025-09-07T07:28:26.8642880Z test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 90%]
2025-09-07T07:28:26.8643590Z test_quantization.py::TestQuantizeDynamicJitOps::test_embedding_bag_padding_idx_error <- test/quantization/jit/test_quantize_jit.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 90%]
2025-09-07T07:28:26.8644040Z test_quantization.py::TestQuantizeDynamicJitOps::test_linear <- ../../_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py PASSED [0.0007s] [ 90%]
2025-09-07T07:28:26.8644360Z test_quantization.py::TestFusionPasses::test_quantized_add_relu_fusion <- test/quantization/jit/test_fusion_passes.py PASSED [0.0078s] [ 90%]
2025-09-07T07:28:26.8645000Z test_quantization.py::TestDeprecatedJitQuantized::test_erase_class_tensor_shapes <- test/quantization/jit/test_deprecated_jit_quant.py SKIPPED [0.0249s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 90%]
2025-09-07T07:28:26.8645750Z test_quantization.py::TestDeprecatedJitQuantized::test_rnn_cell_quantized <- test/quantization/jit/test_deprecated_jit_quant.py SKIPPED [0.0008s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 90%]
2025-09-07T07:28:26.8646450Z test_quantization.py::TestDeprecatedJitQuantized::test_rnn_quantized <- test/quantization/jit/test_deprecated_jit_quant.py SKIPPED [0.0007s] (Quantized operations require FBGEMM. FBGEMM is only optimized for CPUs with instruction set support AVX2 or newer.) [ 90%]
2025-09-07T07:28:26.8646830Z test_quantization.py::TestAOMigrationQuantization::test_function_import_fake_quantize <- test/quantization/ao_migration/test_quantization.py PASSED [0.0007s] [ 90%]
2025-09-07T07:28:26.8647200Z test_quantization.py::TestAOMigrationQuantization::test_function_import_fuse_modules <- test/quantization/ao_migration/test_quantization.py PASSED [0.0006s] [ 91%]
2025-09-07T07:28:26.8647660Z test_quantization.py::TestAOMigrationQuantization::test_function_import_fuser_method_mappings <- test/quantization/ao_migration/test_quantization.py PASSED [0.0006s] [ 91%]
2025-09-07T07:28:26.8648020Z test_quantization.py::TestAOMigrationQuantization::test_function_import_observer <- test/quantization/ao_migration/test_quantization.py PASSED [0.0006s] [ 91%]
2025-09-07T07:28:26.8648380Z test_quantization.py::TestAOMigrationQuantization::test_function_import_qconfig <- test/quantization/ao_migration/test_quantization.py PASSED [0.0007s] [ 91%]
2025-09-07T07:28:26.8648750Z test_quantization.py::TestAOMigrationQuantization::test_function_import_quant_type <- test/quantization/ao_migration/test_quantization.py PASSED [0.0006s] [ 91%]
2025-09-07T07:28:26.8649150Z test_quantization.py::TestAOMigrationQuantization::test_function_import_quantization_mappings <- test/quantization/ao_migration/test_quantization.py PASSED [0.0006s] [ 91%]
2025-09-07T07:28:26.8649520Z test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize <- test/quantization/ao_migration/test_quantization.py PASSED [0.0006s] [ 91%]
2025-09-07T07:28:26.8649890Z test_quantization.py::TestAOMigrationQuantization::test_function_import_quantize_jit <- test/quantization/ao_migration/test_quantization.py PASSED [0.0006s] [ 91%]
2025-09-07T07:28:26.8650250Z test_quantization.py::TestAOMigrationQuantization::test_function_import_stubs <- test/quantization/ao_migration/test_quantization.py PASSED [0.0006s] [ 91%]
2025-09-07T07:28:26.8650600Z test_quantization.py::TestAOMigrationQuantization::test_function_import_utils <- test/quantization/ao_migration/test_quantization.py PASSED [0.0016s] [ 91%]
2025-09-07T07:28:26.8650950Z test_quantization.py::TestAOMigrationNNQuantized::test_functional_import <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 91%]
2025-09-07T07:28:26.8651280Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_conv <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 91%]
2025-09-07T07:28:26.8651710Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_dynamic_linear <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0007s] [ 91%]
2025-09-07T07:28:26.8652080Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_embedding_ops <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0007s] [ 92%]
2025-09-07T07:28:26.8652420Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_qat_linear <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 92%]
2025-09-07T07:28:26.8652800Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_activation <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0013s] [ 92%]
2025-09-07T07:28:26.8653160Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantizable_rnn <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0013s] [ 92%]
2025-09-07T07:28:26.8653570Z test_quantization.py::TestAOMigrationNNQuantized::test_import_nn_quantized_dynamic_import <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 92%]
2025-09-07T07:28:26.8653950Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_activation <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0024s] [ 92%]
2025-09-07T07:28:26.8654300Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_batchnorm <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0013s] [ 92%]
2025-09-07T07:28:26.8654630Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_conv <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0012s] [ 92%]
2025-09-07T07:28:26.8654960Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_dropout <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0012s] [ 92%]
2025-09-07T07:28:26.8655310Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_embedding_ops <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0013s] [ 92%]
2025-09-07T07:28:26.8655720Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_functional_modules <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0013s] [ 92%]
2025-09-07T07:28:26.8656060Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_import <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 92%]
2025-09-07T07:28:26.8656400Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_linear <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0013s] [ 92%]
2025-09-07T07:28:26.8656760Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_normalization <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0013s] [ 92%]
2025-09-07T07:28:26.8657080Z test_quantization.py::TestAOMigrationNNQuantized::test_modules_utils <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0012s] [ 93%]
2025-09-07T07:28:26.8657450Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-09-07T07:28:26.8657830Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_qat <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-09-07T07:28:26.8658220Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_import_nn_intrinsic_quantized <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-09-07T07:28:26.8658600Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_conv_fused <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-09-07T07:28:26.8658980Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_fused <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-09-07T07:28:26.8659360Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_qat_linear_relu <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-09-07T07:28:26.8659810Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_bn_relu <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-09-07T07:28:26.8660210Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_conv_relu <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0007s] [ 93%]
2025-09-07T07:28:26.8660610Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_intrinsic_quantized_linear_relu <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-09-07T07:28:26.8660980Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_nn_intrinsic_fused <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-09-07T07:28:26.8661390Z test_quantization.py::TestAOMigrationNNIntrinsic::test_modules_no_import_nn_intrinsic_quantized_dynamic <- test/quantization/ao_migration/test_ao_migration.py PASSED [0.0006s] [ 93%]
2025-09-07T07:28:26.8661790Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0013s] [ 93%]
2025-09-07T07:28:26.8662200Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_convert <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0019s] [ 94%]
2025-09-07T07:28:26.8662580Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_equalize <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0013s] [ 94%]
2025-09-07T07:28:26.8662950Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fuse <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0013s] [ 94%]
2025-09-07T07:28:26.8663370Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_fusion_patterns <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0013s] [ 94%]
2025-09-07T07:28:26.8663800Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_graph_module <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0013s] [ 94%]
2025-09-07T07:28:26.8664190Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_match_utils <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0013s] [ 94%]
2025-09-07T07:28:26.8664590Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_pattern_utils <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0013s] [ 94%]
2025-09-07T07:28:26.8664970Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_prepare <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0014s] [ 94%]
2025-09-07T07:28:26.8665390Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_quantization_patterns <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0016s] [ 94%]
2025-09-07T07:28:26.8665760Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_fx_utils <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0013s] [ 94%]
2025-09-07T07:28:26.8666140Z test_quantization.py::TestAOMigrationQuantizationFx::test_function_import_quantize_fx <- test/quantization/ao_migration/test_quantization_fx.py PASSED [0.0013s] [ 94%]
2025-09-07T07:28:26.8666420Z test_quantization.py::TestBitsCPU::test_cat_cpu <- test/quantization/core/experimental/test_bits.py PASSED [0.0175s] [ 94%]
2025-09-07T07:28:26.8666700Z test_quantization.py::TestBitsCPU::test_subclass_cpu <- test/quantization/core/experimental/test_bits.py PASSED [0.0011s] [ 94%]
2025-09-07T07:28:26.8666980Z test_quantization.py::TestBitsCPU::test_types_cpu <- test/quantization/core/experimental/test_bits.py PASSED [0.0010s] [ 94%]
2025-09-07T07:28:26.8667350Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 95%]
2025-09-07T07:28:26.8667780Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 95%]
2025-09-07T07:28:26.8668150Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 95%]
2025-09-07T07:28:26.8668530Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 95%]
2025-09-07T07:28:26.8668910Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_extremes_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 95%]
2025-09-07T07:28:26.8669270Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 95%]
2025-09-07T07:28:26.8669660Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 95%]
2025-09-07T07:28:26.8670040Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0038s] [ 95%]
2025-09-07T07:28:26.8670400Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0034s] [ 95%]
2025-09-07T07:28:26.8670770Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_rte_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 95%]
2025-09-07T07:28:26.8671130Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0014s] [ 95%]
2025-09-07T07:28:26.8671500Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0013s] [ 95%]
2025-09-07T07:28:26.8671880Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0013s] [ 95%]
2025-09-07T07:28:26.8672250Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0013s] [ 96%]
2025-09-07T07:28:26.8672610Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_soak_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 96%]
2025-09-07T07:28:26.8672990Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 96%]
2025-09-07T07:28:26.8673380Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 96%]
2025-09-07T07:28:26.8673750Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 96%]
2025-09-07T07:28:26.8674140Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 96%]
2025-09-07T07:28:26.8674520Z test_quantization.py::TestFloat8DtypeCPU::test_cast_round_trip_subnormals_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 96%]
2025-09-07T07:28:26.8674850Z test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 96%]
2025-09-07T07:28:26.8675180Z test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 96%]
2025-09-07T07:28:26.8675580Z test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 96%]
2025-09-07T07:28:26.8675920Z test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 96%]
2025-09-07T07:28:26.8676250Z test_quantization.py::TestFloat8DtypeCPU::test_cat_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 96%]
2025-09-07T07:28:26.8676620Z test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 96%]
2025-09-07T07:28:26.8676990Z test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-09-07T07:28:26.8677340Z test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-09-07T07:28:26.8677760Z test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-09-07T07:28:26.8678170Z test_quantization.py::TestFloat8DtypeCPU::test_creation_with_zeros_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-09-07T07:28:26.8678500Z test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 97%]
2025-09-07T07:28:26.8678830Z test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 97%]
2025-09-07T07:28:26.8679160Z test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 97%]
2025-09-07T07:28:26.8679550Z test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 97%]
2025-09-07T07:28:26.8679890Z test_quantization.py::TestFloat8DtypeCPU::test_empty_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 97%]
2025-09-07T07:28:26.8680220Z test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 97%]
2025-09-07T07:28:26.8680560Z test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-09-07T07:28:26.8680880Z test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 97%]
2025-09-07T07:28:26.8681210Z test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 97%]
2025-09-07T07:28:26.8681550Z test_quantization.py::TestFloat8DtypeCPU::test_finfo_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 97%]
2025-09-07T07:28:26.8681900Z test_quantization.py::TestFloat8DtypeCPU::test_float8_e8m0fnu_rne_rounding_cpu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0363s] [ 98%]
2025-09-07T07:28:26.8682240Z test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0023s] [ 98%]
2025-09-07T07:28:26.8682580Z test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0020s] [ 98%]
2025-09-07T07:28:26.8682910Z test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0020s] [ 98%]
2025-09-07T07:28:26.8683310Z test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0019s] [ 98%]
2025-09-07T07:28:26.8683660Z test_quantization.py::TestFloat8DtypeCPU::test_save_load_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0019s] [ 98%]
2025-09-07T07:28:26.8684010Z test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0010s] [ 98%]
2025-09-07T07:28:26.8684370Z test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 98%]
2025-09-07T07:28:26.8684720Z test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0010s] [ 98%]
2025-09-07T07:28:26.8685080Z test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 98%]
2025-09-07T07:28:26.8685470Z test_quantization.py::TestFloat8DtypeCPU::test_special_numbers_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 98%]
2025-09-07T07:28:26.8685830Z test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 98%]
2025-09-07T07:28:26.8686180Z test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 98%]
2025-09-07T07:28:26.8686510Z test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 99%]
2025-09-07T07:28:26.8686850Z test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 99%]
2025-09-07T07:28:26.8687190Z test_quantization.py::TestFloat8DtypeCPU::test_to_string_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0007s] [ 99%]
2025-09-07T07:28:26.8687590Z test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 99%]
2025-09-07T07:28:26.8687970Z test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e4m3fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 99%]
2025-09-07T07:28:26.8688370Z test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 99%]
2025-09-07T07:28:26.8688740Z test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e5m2fnuz <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 99%]
2025-09-07T07:28:26.8689100Z test_quantization.py::TestFloat8DtypeCPU::test_type_promotion_fails_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 99%]
2025-09-07T07:28:26.8689460Z test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0009s] [ 99%]
2025-09-07T07:28:26.8689800Z test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [ 99%]
2025-09-07T07:28:26.8690160Z test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_mul_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0006s] [ 99%]
2025-09-07T07:28:26.8690550Z test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e4m3fn <- test/quantization/core/experimental/test_floatx.py PASSED [0.0388s] [ 99%]
2025-09-07T07:28:26.8690940Z test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e5m2 <- test/quantization/core/experimental/test_floatx.py PASSED [0.0248s] [ 99%]
2025-09-07T07:28:26.8691410Z test_quantization.py::TestFloat8DtypeCPUOnlyCPU::test_pt2_traceable_aot_eager_cpu_float8_e8m0fnu <- test/quantization/core/experimental/test_floatx.py PASSED [0.0008s] [100%]
2025-09-07T07:28:26.8691420Z 
2025-09-07T07:28:26.8691520Z ==================================== RERUNS ====================================
2025-09-07T07:28:26.8691670Z __________________ TestQuantizedFunctionalOps.test_conv2d_api __________________
2025-09-07T07:28:26.8691740Z Traceback (most recent call last):
2025-09-07T07:28:26.8692080Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/hypothesis/core.py", line 752, in _execute_once_for_engine
2025-09-07T07:28:26.8692150Z     result = self.execute_once(data)
2025-09-07T07:28:26.8692210Z              ^^^^^^^^^^^^^^^^^^^^^^^
2025-09-07T07:28:26.8692510Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/hypothesis/core.py", line 691, in execute_once
2025-09-07T07:28:26.8692580Z     result = self.test_runner(data, run)
2025-09-07T07:28:26.8692640Z              ^^^^^^^^^^^^^^^^^^^^^^^^^^^
2025-09-07T07:28:26.8693030Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/hypothesis/executors.py", line 47, in default_new_style_executor
2025-09-07T07:28:26.8693120Z     return function(data)
2025-09-07T07:28:26.8693170Z            ^^^^^^^^^^^^^^
2025-09-07T07:28:26.8693450Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/hypothesis/core.py", line 687, in run
2025-09-07T07:28:26.8693510Z     return test(*args, **kwargs)
2025-09-07T07:28:26.8693560Z            ^^^^^^^^^^^^^^^^^^^^^
2025-09-07T07:28:26.8693880Z   File "/Users/ec2-user/runner/_work/pytorch/pytorch/test/quantization/core/test_quantized_functional.py", line 156, in test_conv2d_api
2025-09-07T07:28:26.8693950Z     with override_quantized_engine(qengine):
2025-09-07T07:28:26.8694010Z          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2025-09-07T07:28:26.8694340Z   File "/opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/contextlib.py", line 144, in __exit__
2025-09-07T07:28:26.8694420Z     next(self.gen)
2025-09-07T07:28:26.8694820Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py", line 151, in override_quantized_engine
2025-09-07T07:28:26.8694910Z     torch.backends.quantized.engine = previous
2025-09-07T07:28:26.8694970Z     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2025-09-07T07:28:26.8695310Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/backends/quantized/__init__.py", line 37, in __set__
2025-09-07T07:28:26.8695380Z     torch._C._set_qengine(_get_qengine_id(val))
2025-09-07T07:28:26.8695500Z RuntimeError: quantized engine NoQEngine is not supported
2025-09-07T07:28:26.8695500Z 
2025-09-07T07:28:26.8695640Z The above exception was the direct cause of the following exception:
2025-09-07T07:28:26.8695640Z 
2025-09-07T07:28:26.8695710Z Traceback (most recent call last):
2025-09-07T07:28:26.8696040Z   File "/Users/ec2-user/runner/_work/pytorch/pytorch/test/quantization/core/test_quantized_functional.py", line 115, in test_conv2d_api
2025-09-07T07:28:26.8696150Z     in_channels_per_group=st.sampled_from([2, 4, 5, 8, 16, 32]),
2025-09-07T07:28:26.8696200Z         ^^^^^^^
2025-09-07T07:28:26.8696510Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/hypothesis/core.py", line 1267, in wrapped_test
2025-09-07T07:28:26.8696570Z     raise the_error_hypothesis_found
2025-09-07T07:28:26.8696870Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/hypothesis/core.py", line 716, in execute_once
2025-09-07T07:28:26.8696920Z     raise Flaky(
2025-09-07T07:28:26.8698170Z hypothesis.errors.Flaky: Hypothesis test_conv2d_api(self=<quantization.core.test_quantized_functional.TestQuantizedFunctionalOps testMethod=test_conv2d_api>, batch_size=1, in_channels_per_group=2, H=4, W=4, out_channels_per_group=2, groups=1, kernel_h=1, kernel_w=1, stride_h=1, stride_w=1, pad_h=0, pad_w=0, dilation=1, X_scale=1.2, X_zero_point=0, W_scale=[0.2], W_zero_point=[0], Y_scale=4.2, Y_zero_point=0, use_bias=False, use_channelwise=False, qengine='qnnpack') produces unreliable results: Falsified on the first call but did not on a subsequent one
2025-09-07T07:28:26.8698180Z 
2025-09-07T07:28:26.8698310Z To execute this test, run the following from the base repo dir:
2025-09-07T07:28:26.8698550Z     python test/quantization/core/test_quantized_functional.py TestQuantizedFunctionalOps.test_conv2d_api
2025-09-07T07:28:26.8698560Z 
2025-09-07T07:28:26.8698710Z This message can be suppressed by setting PYTORCH_PRINT_REPRO_ON_FAILURE=0
2025-09-07T07:28:26.8698770Z Falsifying example: test_conv2d_api(
2025-09-07T07:28:26.8698820Z     batch_size=1,
2025-09-07T07:28:26.8698880Z     in_channels_per_group=2,
2025-09-07T07:28:26.8698930Z     H=4,
2025-09-07T07:28:26.8698970Z     W=4,
2025-09-07T07:28:26.8699030Z     out_channels_per_group=2,
2025-09-07T07:28:26.8699110Z     groups=1,
2025-09-07T07:28:26.8699170Z     kernel_h=1,
2025-09-07T07:28:26.8699220Z     kernel_w=1,
2025-09-07T07:28:26.8699260Z     stride_h=1,
2025-09-07T07:28:26.8699310Z     stride_w=1,
2025-09-07T07:28:26.8699350Z     pad_h=0,
2025-09-07T07:28:26.8699390Z     pad_w=0,
2025-09-07T07:28:26.8699440Z     dilation=1,
2025-09-07T07:28:26.8699480Z     X_scale=1.2,
2025-09-07T07:28:26.8699530Z     X_zero_point=0,
2025-09-07T07:28:26.8699580Z     W_scale=[0.2],
2025-09-07T07:28:26.8699630Z     W_zero_point=[0],
2025-09-07T07:28:26.8699670Z     Y_scale=4.2,
2025-09-07T07:28:26.8699720Z     Y_zero_point=0,
2025-09-07T07:28:26.8699760Z     use_bias=False,
2025-09-07T07:28:26.8699820Z     use_channelwise=False,
2025-09-07T07:28:26.8699870Z     qengine='qnnpack',
2025-09-07T07:28:26.8700120Z     self=<quantization.core.test_quantized_functional.TestQuantizedFunctionalOps testMethod=test_conv2d_api>,
2025-09-07T07:28:26.8700160Z )
2025-09-07T07:28:26.8700260Z Failed to reproduce exception. Expected: 
2025-09-07T07:28:26.8700330Z Traceback (most recent call last):
2025-09-07T07:28:26.8700650Z   File "/Users/ec2-user/runner/_work/pytorch/pytorch/test/quantization/core/test_quantized_functional.py", line 156, in test_conv2d_api
2025-09-07T07:28:26.8700730Z     with override_quantized_engine(qengine):
2025-09-07T07:28:26.8700780Z          ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2025-09-07T07:28:26.8701100Z   File "/opt/homebrew/Cellar/python@3.12/3.12.11/Frameworks/Python.framework/Versions/3.12/lib/python3.12/contextlib.py", line 144, in __exit__
2025-09-07T07:28:26.8701150Z     next(self.gen)
2025-09-07T07:28:26.8701550Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/testing/_internal/common_quantized.py", line 151, in override_quantized_engine
2025-09-07T07:28:26.8701630Z     torch.backends.quantized.engine = previous
2025-09-07T07:28:26.8701690Z     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2025-09-07T07:28:26.8702020Z   File "/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/backends/quantized/__init__.py", line 37, in __set__
2025-09-07T07:28:26.8702110Z     torch._C._set_qengine(_get_qengine_id(val))
2025-09-07T07:28:26.8702220Z RuntimeError: quantized engine NoQEngine is not supported
2025-09-07T07:28:26.8702230Z 
2025-09-07T07:28:26.8702230Z 
2025-09-07T07:28:26.8702620Z You can reproduce this example by temporarily adding @reproduce_failure('6.56.4', b'AXicY2DAARp4zoABAyOy6AHVmWCAKgpSrgRVDgQA5k4PPA==') as a decorator on your test case
2025-09-07T07:28:26.8703000Z - generated xml file: /Users/ec2-user/runner/_work/pytorch/pytorch/test/test-reports/python-pytest/test_quantization/test_quantization-c3543d1ceaed05a9.xml -
2025-09-07T07:28:26.8703130Z ============ 724 passed, 614 skipped, 1 rerun in 363.34s (0:06:03) =============
2025-09-07T07:28:26.8703130Z 
2025-09-07T07:28:26.8703380Z FINISHED PRINTING LOG FILE of test_quantization 1/1 (test/test-reports/test_quantization_1.1_c800ff37fdd20169_.log)
2025-09-07T07:28:26.8703380Z 
2025-09-07T07:28:27.1937940Z Running test batch 'tests to run' cost 4115.47 seconds
2025-09-07T07:28:27.6318680Z 
2025-09-07T07:28:27.6318960Z real	68m40.853s
2025-09-07T07:28:27.6319140Z user	151m10.575s
2025-09-07T07:28:27.6319290Z sys	22m34.854s
2025-09-07T07:28:27.6319430Z + assert_git_not_dirty
2025-09-07T07:28:27.6319610Z + [[ macos-py3-arm64 != *rocm* ]]
2025-09-07T07:28:27.6319800Z + [[ macos-py3-arm64 != *xla* ]]
2025-09-07T07:28:27.6326320Z ++ git status --porcelain
2025-09-07T07:28:27.6326520Z ++ grep -v '?? third_party'
2025-09-07T07:28:32.0078330Z ++ true
2025-09-07T07:28:32.0079980Z + git_status=
2025-09-07T07:28:32.0080340Z + [[ -n '' ]]
2025-09-07T07:28:32.0080490Z + [[ 1 == 1 ]]
2025-09-07T07:28:32.0080630Z + test_libtorch
2025-09-07T07:28:32.0080940Z + [[ 0 == \1 ]]
2025-09-07T07:28:32.0081100Z + test_custom_script_ops
2025-09-07T07:28:32.0081260Z + print_cmake_info
2025-09-07T07:28:32.0085020Z ++ which cmake
2025-09-07T07:28:32.0120620Z + CMAKE_EXEC=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/cmake
2025-09-07T07:28:32.0121120Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/cmake
2025-09-07T07:28:32.0121480Z + echo /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/cmake
2025-09-07T07:28:32.0123770Z ++ dirname /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/cmake
2025-09-07T07:28:32.0185440Z + CONDA_INSTALLATION_DIR=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin
2025-09-07T07:28:32.0185840Z + ls -la /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/../lib
2025-09-07T07:28:32.0289130Z total 0
2025-09-07T07:28:32.0289510Z drwxr-xr-x  3 ec2-user  staff   96 Sep  7 06:19 .
2025-09-07T07:28:32.0289790Z drwxr-xr-x  8 ec2-user  staff  256 Sep  7 06:19 ..
2025-09-07T07:28:32.0290060Z drwxr-xr-x  3 ec2-user  staff   96 Sep  7 06:19 python3.12
2025-09-07T07:28:32.0290620Z + echo 'Testing custom script operators'
2025-09-07T07:28:32.0290830Z Testing custom script operators
2025-09-07T07:28:32.0291200Z + pushd test/custom_operator
2025-09-07T07:28:32.0291370Z + rm -rf build
2025-09-07T07:28:32.0291650Z ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-09-07T07:28:32.0332510Z + mkdir build
2025-09-07T07:28:32.0359910Z + pushd build
2025-09-07T07:28:32.0360360Z ~/runner/_work/pytorch/pytorch/test/custom_operator/build ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-09-07T07:28:32.0363210Z ++ python -c 'from distutils.sysconfig import get_python_lib; print(get_python_lib())'
2025-09-07T07:28:32.1292040Z + SITE_PACKAGES=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages
2025-09-07T07:28:32.1292620Z + CMAKE_PREFIX_PATH=/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch
2025-09-07T07:28:32.1293090Z + /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/bin/cmake ..
2025-09-07T07:28:32.4283820Z -- The C compiler identification is AppleClang 15.0.0.15000309
2025-09-07T07:28:32.4965980Z -- The CXX compiler identification is AppleClang 15.0.0.15000309
2025-09-07T07:28:32.5336330Z -- Detecting C compiler ABI info
2025-09-07T07:28:32.6532190Z -- Detecting C compiler ABI info - done
2025-09-07T07:28:32.6568810Z -- Check for working C compiler: /Library/Developer/CommandLineTools/usr/bin/clang - skipped
2025-09-07T07:28:32.6577290Z -- Detecting C compile features
2025-09-07T07:28:32.6586560Z -- Detecting C compile features - done
2025-09-07T07:28:32.6786460Z -- Detecting CXX compiler ABI info
2025-09-07T07:28:32.7823000Z -- Detecting CXX compiler ABI info - done
2025-09-07T07:28:32.7861050Z -- Check for working CXX compiler: /Library/Developer/CommandLineTools/usr/bin/clang++ - skipped
2025-09-07T07:28:32.7863190Z -- Detecting CXX compile features
2025-09-07T07:28:32.7866790Z -- Detecting CXX compile features - done
2025-09-07T07:28:32.8490140Z CMake Warning at /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:22 (message):
2025-09-07T07:28:32.8490850Z   static library kineto_LIBRARY-NOTFOUND not found.
2025-09-07T07:28:32.8491100Z Call Stack (most recent call first):
2025-09-07T07:28:32.8491610Z   /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/share/cmake/Torch/TorchConfig.cmake:125 (append_torchlib_if_found)
2025-09-07T07:28:32.8492110Z   CMakeLists.txt:9 (find_package)
2025-09-07T07:28:32.8492240Z 
2025-09-07T07:28:32.8492240Z 
2025-09-07T07:28:32.8493200Z -- Found Torch: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/lib/libtorch.dylib  
2025-09-07T07:28:32.8494740Z -- Configuring done (0.6s)
2025-09-07T07:28:32.8570410Z -- Generating done (0.0s)
2025-09-07T07:28:32.8595720Z -- Build files have been written to: /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build
2025-09-07T07:28:32.8634850Z + make VERBOSE=1
2025-09-07T07:28:32.8688500Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/cmake/data/bin/cmake -S/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator -B/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build --check-build-system CMakeFiles/Makefile.cmake 0
2025-09-07T07:28:32.8736550Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_progress_start /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build//CMakeFiles/progress.marks
2025-09-07T07:28:32.8774250Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/Makefile2 all
2025-09-07T07:28:32.8788990Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/custom_ops.dir/build.make CMakeFiles/custom_ops.dir/depend
2025-09-07T07:28:32.8804410Z cd /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build && /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_depends "Unix Makefiles" /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles/custom_ops.dir/DependInfo.cmake "--color="
2025-09-07T07:28:32.8865200Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/custom_ops.dir/build.make CMakeFiles/custom_ops.dir/build
2025-09-07T07:28:32.8933330Z [ 25%] Building CXX object CMakeFiles/custom_ops.dir/op.cpp.o
2025-09-07T07:28:32.8936600Z /Library/Developer/CommandLineTools/usr/bin/clang++ -DUSE_RPC -Dcustom_ops_EXPORTS -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/include -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -std=gnu++17 -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -fPIC -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -MD -MT CMakeFiles/custom_ops.dir/op.cpp.o -MF CMakeFiles/custom_ops.dir/op.cpp.o.d -o CMakeFiles/custom_ops.dir/op.cpp.o -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/op.cpp
2025-09-07T07:28:40.3412250Z [ 50%] Linking CXX shared library libcustom_ops.dylib
2025-09-07T07:28:40.3413670Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_link_script CMakeFiles/custom_ops.dir/link.txt --verbose=1
2025-09-07T07:28:40.3451340Z /Library/Developer/CommandLineTools/usr/bin/clang++  -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -dynamiclib -Wl,-headerpad_max_install_names -o libcustom_ops.dylib -install_name @rpath/libcustom_ops.dylib CMakeFiles/custom_ops.dir/op.cpp.o -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/lib /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/lib/libc10.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/lib/libtorch.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/lib/libtorch_cpu.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/lib/libc10.dylib -Xlinker -framework -Xlinker Metal -Xlinker -framework -Xlinker MetalPerformanceShaders -Xlinker -framework -Xlinker Foundation -Xlinker -framework -Xlinker Accelerate 
2025-09-07T07:28:40.4581750Z [ 50%] Built target custom_ops
2025-09-07T07:28:40.4583320Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/test_custom_ops.dir/build.make CMakeFiles/test_custom_ops.dir/depend
2025-09-07T07:28:40.4600530Z cd /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build && /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_depends "Unix Makefiles" /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles/test_custom_ops.dir/DependInfo.cmake "--color="
2025-09-07T07:28:40.4660200Z /Library/Developer/CommandLineTools/usr/bin/make  -f CMakeFiles/test_custom_ops.dir/build.make CMakeFiles/test_custom_ops.dir/build
2025-09-07T07:28:40.4726800Z [ 75%] Building CXX object CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o
2025-09-07T07:28:40.4730130Z /Library/Developer/CommandLineTools/usr/bin/clang++ -DUSE_RPC -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/include -isystem /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/include/torch/csrc/api/include -std=gnu++17 -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -MD -MT CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -MF CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o.d -o CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -c /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/test_custom_ops.cpp
2025-09-07T07:28:44.0235250Z [100%] Linking CXX executable test_custom_ops
2025-09-07T07:28:44.0236970Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_link_script CMakeFiles/test_custom_ops.dir/link.txt --verbose=1
2025-09-07T07:28:44.0274870Z /Library/Developer/CommandLineTools/usr/bin/clang++  -arch arm64 -isysroot /Library/Developer/CommandLineTools/SDKs/MacOSX.sdk -mmacosx-version-min=11.1 -Wl,-search_paths_first -Wl,-headerpad_max_install_names CMakeFiles/test_custom_ops.dir/test_custom_ops.cpp.o -o test_custom_ops -F/Library/Developer/CommandLineTools/SDKs/MacOSX14.sdk/System/Library/Frameworks  -Wl,-rpath,/Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build -Wl,-rpath,/Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/lib libcustom_ops.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/lib/libtorch.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/lib/libtorch_cpu.dylib /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/lib/libc10.dylib -Xlinker -framework -Xlinker Metal -Xlinker -framework -Xlinker MetalPerformanceShaders -Xlinker -framework -Xlinker Foundation -Xlinker -framework -Xlinker Accelerate /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/lib/libc10.dylib 
2025-09-07T07:28:44.1153260Z [100%] Built target test_custom_ops
2025-09-07T07:28:44.1157210Z /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/cmake/data/bin/cmake -E cmake_progress_start /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/build/CMakeFiles 0
2025-09-07T07:28:44.1197400Z + popd
2025-09-07T07:28:44.1197680Z ~/runner/_work/pytorch/pytorch/test/custom_operator ~/runner/_work/pytorch/pytorch
2025-09-07T07:28:44.1198020Z + python test_custom_ops.py -v
2025-09-07T07:28:45.5141630Z 
2025-09-07T07:28:45.5141840Z Running tests...
2025-09-07T07:28:45.5142120Z ----------------------------------------------------------------------
2025-09-07T07:28:45.5142530Z Test results will be stored in test-reports/python-unittest/test_custom_ops
2025-09-07T07:28:45.6987880Z   test_abstract_impl_pystub_faketensor (__main__.TestCustomOperators.test_abstract_impl_pystub_faketensor) ... /Users/ec2-user/runner/_work/pytorch/pytorch/test/custom_operator/my_custom_ops.py:13: FutureWarning: `create_unbacked_symint` is deprecated, please use `new_dynamic_size` instead
2025-09-07T07:28:45.6988780Z   nnz = ctx.create_unbacked_symint()
2025-09-07T07:28:45.7028800Z ok (0.188s)
2025-09-07T07:28:45.7055970Z   test_abstract_impl_pystub_meta (__main__.TestCustomOperators.test_abstract_impl_pystub_meta) ... ok (0.003s)
2025-09-07T07:28:45.7063610Z   test_calling_custom_op (__main__.TestCustomOperators.test_calling_custom_op) ... ok (0.001s)
2025-09-07T07:28:45.7259520Z   test_calling_custom_op_inside_script_module (__main__.TestCustomOperators.test_calling_custom_op_inside_script_module) ... ok (0.020s)
2025-09-07T07:28:45.7263070Z   test_calling_custom_op_string (__main__.TestCustomOperators.test_calling_custom_op_string) ... ok (0.000s)
2025-09-07T07:28:45.7274210Z   test_calling_custom_op_with_autograd (__main__.TestCustomOperators.test_calling_custom_op_with_autograd) ... /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages/torch/autograd/graph.py:841: UserWarning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (Triggered internally at /Users/ec2-user/runner/_work/pytorch/pytorch/torch/csrc/autograd/engine.cpp:1296.)
2025-09-07T07:28:45.7276240Z   return Variable._execution_engine.run_backward(  # Calls into the C++ engine to run the backward pass
2025-09-07T07:28:45.7278420Z ok (0.002s)
2025-09-07T07:28:45.7281870Z   test_calling_custom_op_with_autograd_in_nograd_mode (__main__.TestCustomOperators.test_calling_custom_op_with_autograd_in_nograd_mode) ... ok (0.000s)
2025-09-07T07:28:45.7283310Z   test_custom_library_is_loaded (__main__.TestCustomOperators.test_custom_library_is_loaded) ... ok (0.000s)
2025-09-07T07:28:45.7565090Z   test_dynamo_pystub_suggestion (__main__.TestCustomOperators.test_dynamo_pystub_suggestion) ... ok (0.028s)
2025-09-07T07:28:45.7569560Z   test_op_with_incorrect_abstract_impl_pystub (__main__.TestCustomOperators.test_op_with_incorrect_abstract_impl_pystub) ... ok (0.000s)
2025-09-07T07:28:45.7572610Z   test_op_with_no_abstract_impl_pystub (__main__.TestCustomOperators.test_op_with_no_abstract_impl_pystub) ... ok (0.000s)
2025-09-07T07:28:45.7621880Z   test_saving_and_loading_script_module_with_custom_op (__main__.TestCustomOperators.test_saving_and_loading_script_module_with_custom_op) ... ok (0.005s)
2025-09-07T07:28:45.7622310Z 
2025-09-07T07:28:45.7622430Z ----------------------------------------------------------------------
2025-09-07T07:28:45.7622670Z Ran 12 tests in 0.248s
2025-09-07T07:28:45.7622770Z 
2025-09-07T07:28:45.7622820Z OK
2025-09-07T07:28:45.7622900Z 
2025-09-07T07:28:45.7622970Z Generating XML reports...
2025-09-07T07:28:45.7644220Z Generated XML report: test-reports/python-unittest/test_custom_ops/TEST-TestCustomOperators-20250907072845.xml
2025-09-07T07:28:46.0726630Z + python model.py --export-script-module=model.pt
2025-09-07T07:28:46.8752290Z + build/test_custom_ops ./model.pt
2025-09-07T07:28:47.0800330Z [W907 07:28:47.535109000 engine.cpp:1296] Warning: Using backward() with create_graph=True will create a reference cycle between the parameter and its gradient which can cause a memory leak. We recommend using autograd.grad when creating the graph to avoid this. If you have to use this function, make sure to reset the .grad fields of your parameters to None after use to break the cycle and avoid the leak. (function operator())
2025-09-07T07:28:47.1484780Z ok
2025-09-07T07:28:47.1499650Z + popd
2025-09-07T07:28:47.1500030Z + assert_git_not_dirty
2025-09-07T07:28:47.1500220Z + [[ macos-py3-arm64 != *rocm* ]]
2025-09-07T07:28:47.1500440Z ~/runner/_work/pytorch/pytorch
2025-09-07T07:28:47.1500830Z + [[ macos-py3-arm64 != *xla* ]]
2025-09-07T07:28:47.1506640Z ++ git status --porcelain
2025-09-07T07:28:47.1507800Z ++ grep -v '?? third_party'
2025-09-07T07:28:47.5891830Z ++ true
2025-09-07T07:28:47.5893430Z + git_status=
2025-09-07T07:28:47.5893670Z + [[ -n '' ]]
2025-09-07T07:28:47.5982570Z ##[group]Run cat test/**/*_toprint.log || true
2025-09-07T07:28:47.5982810Z cat test/**/*_toprint.log || true
2025-09-07T07:28:47.7027380Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T07:28:47.7027590Z env:
2025-09-07T07:28:47.7027720Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:47.7027880Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:47.7028060Z   TEST_CONFIG: default
2025-09-07T07:28:47.7028190Z   SHARD_NUMBER: 1
2025-09-07T07:28:47.7028320Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:47.7028450Z   PR_BODY: 
2025-09-07T07:28:47.7028570Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:47.7028800Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:47.7029140Z ##[endgroup]
2025-09-07T07:28:47.7504320Z cat: test/**/*_toprint.log: No such file or directory
2025-09-07T07:28:47.7535610Z ##[group]Run kill "$MONITOR_SCRIPT_PID"
2025-09-07T07:28:47.7535840Z kill "$MONITOR_SCRIPT_PID"
2025-09-07T07:28:47.7547390Z shell: /bin/bash -e -l {0}
2025-09-07T07:28:47.7547550Z env:
2025-09-07T07:28:47.7547690Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:47.7547870Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:47.7548050Z   TEST_CONFIG: default
2025-09-07T07:28:47.7548220Z   SHARD_NUMBER: 1
2025-09-07T07:28:47.7548360Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:47.7548510Z   PR_BODY: 
2025-09-07T07:28:47.7548640Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:47.7548890Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:47.7549150Z   MONITOR_SCRIPT_PID: 83882
2025-09-07T07:28:47.7549310Z ##[endgroup]
2025-09-07T07:28:47.7992770Z Prepare all required actions
2025-09-07T07:28:47.7993080Z Getting action download info
2025-09-07T07:28:47.9820090Z Download action repository 'seemethere/upload-artifact-s3@v5' (SHA:baba72d0712b404f646cebe0730933554ebce96a)
2025-09-07T07:28:48.1838780Z Download action repository 'actions/upload-artifact@v4' (SHA:ea165f8d65b6e75b540449e92b4886f43607fa02)
2025-09-07T07:28:48.4389140Z ##[group]Run ./.github/actions/upload-test-artifacts
2025-09-07T07:28:48.4389350Z with:
2025-09-07T07:28:48.4389470Z   use-gha: true
2025-09-07T07:28:48.4389660Z   file-suffix: test-default-1-3-macos-m1-stable_49773898067
2025-09-07T07:28:48.4389890Z   s3-bucket: gha-artifacts
2025-09-07T07:28:48.4390040Z env:
2025-09-07T07:28:48.4390150Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:48.4390320Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:48.4390500Z   TEST_CONFIG: default
2025-09-07T07:28:48.4390630Z   SHARD_NUMBER: 1
2025-09-07T07:28:48.4390760Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:48.4390920Z   PR_BODY: 
2025-09-07T07:28:48.4391050Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:48.4391290Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:48.4391570Z ##[endgroup]
2025-09-07T07:28:48.4432970Z ##[group]Run actions/upload-artifact@v4
2025-09-07T07:28:48.4433170Z with:
2025-09-07T07:28:48.4439730Z   name: test-jsons-runattempt1-test-default-1-3-macos-m1-stable_49773898067.zip
2025-09-07T07:28:48.4440030Z   retention-days: 14
2025-09-07T07:28:48.4440180Z   if-no-files-found: warn
2025-09-07T07:28:48.4440330Z   path: test/**/*.json
2025-09-07T07:28:48.4440480Z   compression-level: 6
2025-09-07T07:28:48.4440620Z   overwrite: false
2025-09-07T07:28:48.4440760Z   include-hidden-files: false
2025-09-07T07:28:48.4440910Z env:
2025-09-07T07:28:48.4441030Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:48.4441190Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:48.4441370Z   TEST_CONFIG: default
2025-09-07T07:28:48.4441500Z   SHARD_NUMBER: 1
2025-09-07T07:28:48.4441640Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:48.4441770Z   PR_BODY: 
2025-09-07T07:28:48.4441900Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:48.4442130Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:48.4442460Z ##[endgroup]
2025-09-07T07:28:48.9169030Z With the provided path, there will be 10 files uploaded
2025-09-07T07:28:48.9172850Z Artifact name is valid!
2025-09-07T07:28:48.9173080Z Root directory input is valid!
2025-09-07T07:28:48.9700040Z Beginning upload of artifact content to blob storage
2025-09-07T07:28:49.0479960Z Uploaded bytes 49085
2025-09-07T07:28:49.0650570Z Finished uploading artifact content to blob storage!
2025-09-07T07:28:49.0652400Z SHA256 digest of uploaded artifact zip is fe5e21c63adcccca19a9d21031bdf508a8f91cb40fe1f582b5970e1bd8c1fe5b
2025-09-07T07:28:49.0653450Z Finalizing artifact upload
2025-09-07T07:28:49.1444070Z Artifact test-jsons-runattempt1-test-default-1-3-macos-m1-stable_49773898067.zip.zip successfully finalized. Artifact ID 3946498305
2025-09-07T07:28:49.1445960Z Artifact test-jsons-runattempt1-test-default-1-3-macos-m1-stable_49773898067.zip has been successfully uploaded! Final size is 49085 bytes. Artifact ID is 3946498305
2025-09-07T07:28:49.1462900Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/17524754564/artifacts/3946498305
2025-09-07T07:28:49.1588240Z ##[group]Run actions/upload-artifact@v4
2025-09-07T07:28:49.1588690Z with:
2025-09-07T07:28:49.1589240Z   name: test-reports-runattempt1-test-default-1-3-macos-m1-stable_49773898067.zip
2025-09-07T07:28:49.1589910Z   retention-days: 14
2025-09-07T07:28:49.1590260Z   if-no-files-found: ignore
2025-09-07T07:28:49.1590650Z   path: test/**/*.xml
test/**/*.csv

2025-09-07T07:28:49.1591060Z   compression-level: 6
2025-09-07T07:28:49.1591410Z   overwrite: false
2025-09-07T07:28:49.1591730Z   include-hidden-files: false
2025-09-07T07:28:49.1592110Z env:
2025-09-07T07:28:49.1592380Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:49.1593290Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:49.1593740Z   TEST_CONFIG: default
2025-09-07T07:28:49.1594060Z   SHARD_NUMBER: 1
2025-09-07T07:28:49.1594380Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:49.1594690Z   PR_BODY: 
2025-09-07T07:28:49.1595020Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:49.1595560Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:49.1596110Z ##[endgroup]
2025-09-07T07:28:49.5735940Z With the provided path, there will be 269 files uploaded
2025-09-07T07:28:49.5737590Z Artifact name is valid!
2025-09-07T07:28:49.5738050Z Root directory input is valid!
2025-09-07T07:28:49.6304800Z Beginning upload of artifact content to blob storage
2025-09-07T07:28:50.0444880Z Uploaded bytes 1027320
2025-09-07T07:28:50.0636670Z Finished uploading artifact content to blob storage!
2025-09-07T07:28:50.0638990Z SHA256 digest of uploaded artifact zip is d9cf686919130379ef14aa76eb8d44e1eeb3c14bcd7d2beb494fd002a57bc894
2025-09-07T07:28:50.0640250Z Finalizing artifact upload
2025-09-07T07:28:50.1460740Z Artifact test-reports-runattempt1-test-default-1-3-macos-m1-stable_49773898067.zip.zip successfully finalized. Artifact ID 3946498342
2025-09-07T07:28:50.1463700Z Artifact test-reports-runattempt1-test-default-1-3-macos-m1-stable_49773898067.zip has been successfully uploaded! Final size is 1027320 bytes. Artifact ID is 3946498342
2025-09-07T07:28:50.1488310Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/17524754564/artifacts/3946498342
2025-09-07T07:28:50.1690310Z ##[group]Run actions/upload-artifact@v4
2025-09-07T07:28:50.1690900Z with:
2025-09-07T07:28:50.1691610Z   name: logs-runattempt1-test-default-1-3-macos-m1-stable_49773898067.zip
2025-09-07T07:28:50.1692370Z   retention-days: 14
2025-09-07T07:28:50.1692810Z   if-no-files-found: ignore
2025-09-07T07:28:50.1693390Z   path: usage_log.txt
test/**/*.log

2025-09-07T07:28:50.1693920Z   compression-level: 6
2025-09-07T07:28:50.1694310Z   overwrite: false
2025-09-07T07:28:50.1694720Z   include-hidden-files: false
2025-09-07T07:28:50.1695160Z env:
2025-09-07T07:28:50.1695500Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:50.1695940Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:50.1696600Z   TEST_CONFIG: default
2025-09-07T07:28:50.1696970Z   SHARD_NUMBER: 1
2025-09-07T07:28:50.1697310Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:50.1697660Z   PR_BODY: 
2025-09-07T07:28:50.1697990Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:50.1698580Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:50.1699170Z ##[endgroup]
2025-09-07T07:28:50.5975760Z Multiple search paths detected. Calculating the least common ancestor of all paths
2025-09-07T07:28:50.5976760Z The least common ancestor is /Users/ec2-user/runner/_work/pytorch/pytorch. This will be the root directory of the artifact
2025-09-07T07:28:50.5977250Z With the provided path, there will be 321 files uploaded
2025-09-07T07:28:50.5979370Z Artifact name is valid!
2025-09-07T07:28:50.5979800Z Root directory input is valid!
2025-09-07T07:28:50.6528470Z Beginning upload of artifact content to blob storage
2025-09-07T07:28:51.1138480Z Uploaded bytes 1468266
2025-09-07T07:28:51.1327670Z Finished uploading artifact content to blob storage!
2025-09-07T07:28:51.1330320Z SHA256 digest of uploaded artifact zip is 0caa732b7850d18b94b64fcacfeb406f00d1747fa6a78f3b607bfba73b4b2c3c
2025-09-07T07:28:51.1331940Z Finalizing artifact upload
2025-09-07T07:28:51.2118660Z Artifact logs-runattempt1-test-default-1-3-macos-m1-stable_49773898067.zip.zip successfully finalized. Artifact ID 3946498382
2025-09-07T07:28:51.2122000Z Artifact logs-runattempt1-test-default-1-3-macos-m1-stable_49773898067.zip has been successfully uploaded! Final size is 1468266 bytes. Artifact ID is 3946498382
2025-09-07T07:28:51.2149030Z Artifact download URL: https://github.com/pytorch/pytorch/actions/runs/17524754564/artifacts/3946498382
2025-09-07T07:28:51.2471390Z ##[group]Run pytorch/test-infra/.github/actions/upload-benchmark-results@main
2025-09-07T07:28:51.2472000Z with:
2025-09-07T07:28:51.2472330Z   benchmark-results-dir: test/test-reports
2025-09-07T07:28:51.2472800Z   dry-run: false
2025-09-07T07:28:51.2473120Z   schema-version: v3
2025-09-07T07:28:51.2473970Z   github-token: ***
2025-09-07T07:28:51.2474280Z env:
2025-09-07T07:28:51.2474560Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:51.2474930Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:51.2475370Z   TEST_CONFIG: default
2025-09-07T07:28:51.2475710Z   SHARD_NUMBER: 1
2025-09-07T07:28:51.2476010Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:51.2476360Z   PR_BODY: 
2025-09-07T07:28:51.2493400Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:51.2493990Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:51.2494540Z ##[endgroup]
2025-09-07T07:28:51.2520500Z ##[group]Run set -eux
2025-09-07T07:28:51.2520890Z set -eux
2025-09-07T07:28:51.2521240Z 
2025-09-07T07:28:51.2521520Z if [[ -n "" ]]; then
2025-09-07T07:28:51.2521890Z   source ""
2025-09-07T07:28:51.2522180Z fi
2025-09-07T07:28:51.2522700Z python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-09-07T07:28:51.2523270Z 
2025-09-07T07:28:51.2523550Z DEVICE_NAME=""
2025-09-07T07:28:51.2523910Z DEVICE_TYPE=""
2025-09-07T07:28:51.2524230Z 
2025-09-07T07:28:51.2524520Z if command -v nvidia-smi; then
2025-09-07T07:28:51.2525170Z   # NB: I'm using PyTorch here to get the device name, however, it needs to
2025-09-07T07:28:51.2525970Z   # install the correct version of PyTorch manually for now. Any PyTorch
2025-09-07T07:28:51.2526710Z   # version is fine, I just use 2.7.1 to satify PYPIDEP linter
2025-09-07T07:28:51.2527300Z   python3 -mpip install torch==2.7.1
2025-09-07T07:28:51.2527790Z elif command -v rocminfo; then
2025-09-07T07:28:51.2528420Z   # NB: Installing torch on ROCm runner with pip here causes CI to fail
2025-09-07T07:28:51.2529230Z   # with a memoryview is too large error only on MI300 runners. Is pip
2025-09-07T07:28:51.2530000Z   # version on ROCm runner there too old? As a workaround, let's use the
2025-09-07T07:28:51.2530830Z   # GPU device name coming from rocminfo instead
2025-09-07T07:28:51.2531330Z   DEVICE_NAME=rocm
2025-09-07T07:28:51.2532000Z   DEVICE_TYPE=$(rocminfo | grep "Marketing Name" | tail -n1 | awk -F':' '{print $2}' | xargs)
2025-09-07T07:28:51.2532680Z fi
2025-09-07T07:28:51.2532950Z 
2025-09-07T07:28:51.2533340Z echo "DEVICE_NAME=$DEVICE_NAME" >> $GITHUB_ENV
2025-09-07T07:28:51.2533920Z echo "DEVICE_TYPE=$DEVICE_TYPE" >> $GITHUB_ENV
2025-09-07T07:28:51.2559480Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T07:28:51.2559910Z env:
2025-09-07T07:28:51.2560150Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:51.2560500Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:51.2560860Z   TEST_CONFIG: default
2025-09-07T07:28:51.2561150Z   SHARD_NUMBER: 1
2025-09-07T07:28:51.2561560Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:51.2561830Z   PR_BODY: 
2025-09-07T07:28:51.2562080Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:51.2562550Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:51.2563030Z ##[endgroup]
2025-09-07T07:28:51.2844640Z + [[ -n '' ]]
2025-09-07T07:28:51.2845030Z + python3 -mpip install boto3==1.35.33 psutil==7.0.0 pynvml==12.0.0
2025-09-07T07:28:51.8910240Z Collecting boto3==1.35.33
2025-09-07T07:28:51.8939530Z   Using cached boto3-1.35.33-py3-none-any.whl.metadata (6.6 kB)
2025-09-07T07:28:51.9343740Z Collecting psutil==7.0.0
2025-09-07T07:28:51.9365440Z   Using cached psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl.metadata (22 kB)
2025-09-07T07:28:51.9539040Z Collecting pynvml==12.0.0
2025-09-07T07:28:51.9560160Z   Using cached pynvml-12.0.0-py3-none-any.whl.metadata (5.4 kB)
2025-09-07T07:28:51.9598920Z Requirement already satisfied: botocore<1.36.0,>=1.35.33 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from boto3==1.35.33) (1.35.99)
2025-09-07T07:28:51.9601620Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from boto3==1.35.33) (1.0.1)
2025-09-07T07:28:51.9604260Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from boto3==1.35.33) (0.10.4)
2025-09-07T07:28:51.9687070Z Collecting nvidia-ml-py<13.0.0a0,>=12.0.0 (from pynvml==12.0.0)
2025-09-07T07:28:51.9706390Z   Using cached nvidia_ml_py-12.575.51-py3-none-any.whl.metadata (9.3 kB)
2025-09-07T07:28:51.9754290Z Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (2.9.0.post0)
2025-09-07T07:28:51.9760060Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.26.20)
2025-09-07T07:28:51.9788450Z Requirement already satisfied: six>=1.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.36.0,>=1.35.33->boto3==1.35.33) (1.17.0)
2025-09-07T07:28:51.9865650Z Using cached boto3-1.35.33-py3-none-any.whl (139 kB)
2025-09-07T07:28:51.9896110Z Using cached psutil-7.0.0-cp36-abi3-macosx_11_0_arm64.whl (239 kB)
2025-09-07T07:28:51.9943370Z Using cached pynvml-12.0.0-py3-none-any.whl (26 kB)
2025-09-07T07:28:51.9963600Z Using cached nvidia_ml_py-12.575.51-py3-none-any.whl (47 kB)
2025-09-07T07:28:52.1825740Z Installing collected packages: nvidia-ml-py, pynvml, psutil, boto3
2025-09-07T07:28:52.2274420Z   Attempting uninstall: psutil
2025-09-07T07:28:52.2299080Z     Found existing installation: psutil 5.9.8
2025-09-07T07:28:52.2356150Z     Uninstalling psutil-5.9.8:
2025-09-07T07:28:52.2369370Z       Successfully uninstalled psutil-5.9.8
2025-09-07T07:28:52.3314690Z   Attempting uninstall: boto3
2025-09-07T07:28:52.3329170Z     Found existing installation: boto3 1.35.42
2025-09-07T07:28:52.3420460Z     Uninstalling boto3-1.35.42:
2025-09-07T07:28:52.3452080Z       Successfully uninstalled boto3-1.35.42
2025-09-07T07:28:52.3864270Z 
2025-09-07T07:28:52.3903070Z Successfully installed boto3-1.35.33 nvidia-ml-py-12.575.51 psutil-7.0.0 pynvml-12.0.0
2025-09-07T07:28:52.3950520Z 
2025-09-07T07:28:52.3950850Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T07:28:52.3951200Z [notice] To update, run: pip install --upgrade pip
2025-09-07T07:28:52.4459860Z + DEVICE_NAME=
2025-09-07T07:28:52.4460090Z + DEVICE_TYPE=
2025-09-07T07:28:52.4460280Z + command -v nvidia-smi
2025-09-07T07:28:52.4460490Z + command -v rocminfo
2025-09-07T07:28:52.4460680Z + echo DEVICE_NAME=
2025-09-07T07:28:52.4461740Z + echo DEVICE_TYPE=
2025-09-07T07:28:52.4495740Z ##[group]Run set -eux
2025-09-07T07:28:52.4495930Z set -eux
2025-09-07T07:28:52.4496180Z 
2025-09-07T07:28:52.4496350Z if [[ -z "${GITHUB_TOKEN}" ]]; then
2025-09-07T07:28:52.4496620Z   echo "Missing github-token input"
2025-09-07T07:28:52.4496860Z   exit 1
2025-09-07T07:28:52.4497030Z fi
2025-09-07T07:28:52.4509570Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T07:28:52.4509810Z env:
2025-09-07T07:28:52.4509960Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:52.4510160Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:52.4510360Z   TEST_CONFIG: default
2025-09-07T07:28:52.4510540Z   SHARD_NUMBER: 1
2025-09-07T07:28:52.4510710Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:52.4510870Z   PR_BODY: 
2025-09-07T07:28:52.4511030Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:52.4511470Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:52.4511750Z   DEVICE_NAME: 
2025-09-07T07:28:52.4511910Z   DEVICE_TYPE: 
2025-09-07T07:28:52.4512370Z   GITHUB_TOKEN: ***
2025-09-07T07:28:52.4512540Z ##[endgroup]
2025-09-07T07:28:52.4732050Z + [[ -z *** ]]
2025-09-07T07:28:52.4768380Z ##[group]Run pytorch/test-infra/.github/actions/get-workflow-job-id@main
2025-09-07T07:28:52.4768670Z with:
2025-09-07T07:28:52.4768900Z   github-token: ***
2025-09-07T07:28:52.4769070Z env:
2025-09-07T07:28:52.4769220Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:52.4769410Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:52.4769620Z   TEST_CONFIG: default
2025-09-07T07:28:52.4769800Z   SHARD_NUMBER: 1
2025-09-07T07:28:52.4769960Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:52.4770130Z   PR_BODY: 
2025-09-07T07:28:52.4770290Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:52.4770570Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:52.4770830Z   DEVICE_NAME: 
2025-09-07T07:28:52.4770990Z   DEVICE_TYPE: 
2025-09-07T07:28:52.4771150Z ##[endgroup]
2025-09-07T07:28:52.4781570Z ##[group]Run set -eux
2025-09-07T07:28:52.4781750Z set -eux
2025-09-07T07:28:52.4781910Z 
2025-09-07T07:28:52.4782230Z python3 "${GITHUB_ACTION_PATH}/../../scripts/get_workflow_job_id.py" "${GITHUB_RUN_ID}" "${RUNNER_NAME}"
2025-09-07T07:28:52.4794480Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T07:28:52.4794710Z env:
2025-09-07T07:28:52.4794860Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:52.4795030Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:52.4795240Z   TEST_CONFIG: default
2025-09-07T07:28:52.4795400Z   SHARD_NUMBER: 1
2025-09-07T07:28:52.4795550Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:52.4795720Z   PR_BODY: 
2025-09-07T07:28:52.4795880Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:52.4796130Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:52.4796380Z   DEVICE_NAME: 
2025-09-07T07:28:52.4796540Z   DEVICE_TYPE: 
2025-09-07T07:28:52.4796790Z   GITHUB_TOKEN: ***
2025-09-07T07:28:52.4796960Z ##[endgroup]
2025-09-07T07:28:52.5016610Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/get-workflow-job-id/../../scripts/get_workflow_job_id.py 17524754564 i-09537b716852f8064
2025-09-07T07:28:53.6463780Z setting job-id=49773898067
2025-09-07T07:28:53.6465010Z setting job-name=macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-09-07T07:28:53.6752170Z ##[group]Run set -eux
2025-09-07T07:28:53.6752730Z set -eux
2025-09-07T07:28:53.6753160Z 
2025-09-07T07:28:53.6753600Z if [[ -n "" ]]; then
2025-09-07T07:28:53.6754190Z   source ""
2025-09-07T07:28:53.6754650Z fi
2025-09-07T07:28:53.6755080Z 
2025-09-07T07:28:53.6755890Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_metadata.py" \
2025-09-07T07:28:53.6756960Z   --schema-version "${SCHEMA_VERSION}" \
2025-09-07T07:28:53.6757680Z   --repo "${REPO}" \
2025-09-07T07:28:53.6758370Z   --head-branch "${HEAD_BRANCH}" \
2025-09-07T07:28:53.6759040Z   --head-sha "${HEAD_SHA}" \
2025-09-07T07:28:53.6759980Z   --workflow-id "${WORKFLOW_RUN_ID}" \
2025-09-07T07:28:53.6760750Z   --run-attempt "${RUN_ATTEMPT}" \
2025-09-07T07:28:53.6761410Z   --job-id "${JOB_ID}" \
2025-09-07T07:28:53.6762050Z   --job-name "${JOB_NAME}"
2025-09-07T07:28:53.6795970Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T07:28:53.6796730Z env:
2025-09-07T07:28:53.6797180Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:53.6797830Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:53.6798450Z   TEST_CONFIG: default
2025-09-07T07:28:53.6798980Z   SHARD_NUMBER: 1
2025-09-07T07:28:53.6799460Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:53.6799970Z   PR_BODY: 
2025-09-07T07:28:53.6800470Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:53.6801720Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:53.6802600Z   DEVICE_NAME: 
2025-09-07T07:28:53.6803080Z   DEVICE_TYPE: 
2025-09-07T07:28:53.6803540Z   SCHEMA_VERSION: v3
2025-09-07T07:28:53.6804060Z   REPO: pytorch/pytorch
2025-09-07T07:28:53.6804630Z   HEAD_BRANCH: refs/heads/main
2025-09-07T07:28:53.6805340Z   HEAD_SHA: 93fb23d6fae7c4e82c4239a1033e522088742634
2025-09-07T07:28:53.6806110Z   WORKFLOW_RUN_ID: 17524754564
2025-09-07T07:28:53.6806710Z   RUN_ATTEMPT: 1
2025-09-07T07:28:53.6807160Z   JOB_ID: 49773898067
2025-09-07T07:28:53.6807980Z   JOB_NAME: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-09-07T07:28:53.6808850Z ##[endgroup]
2025-09-07T07:28:53.7190530Z + [[ -n '' ]]
2025-09-07T07:28:53.7192250Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_metadata.py --schema-version v3 --repo pytorch/pytorch --head-branch refs/heads/main --head-sha 93fb23d6fae7c4e82c4239a1033e522088742634 --workflow-id 17524754564 --run-attempt 1 --job-id 49773898067 --job-name 'macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)'
2025-09-07T07:28:53.7496750Z ##[group]Run set -eux
2025-09-07T07:28:53.7497000Z set -eux
2025-09-07T07:28:53.7497160Z 
2025-09-07T07:28:53.7497300Z if [[ -n "" ]]; then
2025-09-07T07:28:53.7497530Z   source ""
2025-09-07T07:28:53.7497700Z fi
2025-09-07T07:28:53.7497840Z 
2025-09-07T07:28:53.7498110Z python3 "${GITHUB_ACTION_PATH}/../../scripts/benchmarks/gather_runners_info.py"
2025-09-07T07:28:53.7510710Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T07:28:53.7510960Z env:
2025-09-07T07:28:53.7511110Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:53.7511320Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:53.7511530Z   TEST_CONFIG: default
2025-09-07T07:28:53.7511710Z   SHARD_NUMBER: 1
2025-09-07T07:28:53.7511880Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:53.7512050Z   PR_BODY: 
2025-09-07T07:28:53.7512210Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:53.7512500Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:53.7512770Z   DEVICE_NAME: 
2025-09-07T07:28:53.7512940Z   DEVICE_TYPE: 
2025-09-07T07:28:53.7513100Z ##[endgroup]
2025-09-07T07:28:53.7725030Z + [[ -n '' ]]
2025-09-07T07:28:53.7725660Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/benchmarks/gather_runners_info.py
2025-09-07T07:28:54.7055720Z ##[group]Run set -eux
2025-09-07T07:28:54.7055930Z set -eux
2025-09-07T07:28:54.7056090Z 
2025-09-07T07:28:54.7056270Z # TODO (huydhn): Implement this part
2025-09-07T07:28:54.7056550Z echo "dependencies={}" >> "${GITHUB_OUTPUT}"
2025-09-07T07:28:54.7069920Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T07:28:54.7070170Z env:
2025-09-07T07:28:54.7070330Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:54.7070550Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:54.7070780Z   TEST_CONFIG: default
2025-09-07T07:28:54.7070960Z   SHARD_NUMBER: 1
2025-09-07T07:28:54.7071120Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:54.7071420Z   PR_BODY: 
2025-09-07T07:28:54.7071590Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:54.7071910Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:54.7072190Z   DEVICE_NAME: 
2025-09-07T07:28:54.7072350Z   DEVICE_TYPE: 
2025-09-07T07:28:54.7072500Z ##[endgroup]
2025-09-07T07:28:54.7281310Z + echo 'dependencies={}'
2025-09-07T07:28:54.7306810Z ##[group]Run set -eux
2025-09-07T07:28:54.7307030Z set -eux
2025-09-07T07:28:54.7307180Z 
2025-09-07T07:28:54.7307340Z if [[ -n "" ]]; then
2025-09-07T07:28:54.7307540Z   source ""
2025-09-07T07:28:54.7307700Z fi
2025-09-07T07:28:54.7307850Z 
2025-09-07T07:28:54.7308030Z if [[ ! -d "${BENCHMARK_RESULTS_DIR}" ]]; then
2025-09-07T07:28:54.7308540Z   echo "${BENCHMARK_RESULTS_DIR} does not exist, skipping"
2025-09-07T07:28:54.7308900Z   # We don't want the job to fail if the directory doesn't exist
2025-09-07T07:28:54.7309260Z   exit 0
2025-09-07T07:28:54.7309430Z fi
2025-09-07T07:28:54.7309590Z 
2025-09-07T07:28:54.7309760Z if [[ "${DRY_RUN}" == "true" ]]; then
2025-09-07T07:28:54.7310110Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-09-07T07:28:54.7310510Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-09-07T07:28:54.7310810Z     --metadata "${BENCHMARK_METADATA}" \
2025-09-07T07:28:54.7311060Z     --runners "${RUNNER_INFO}" \
2025-09-07T07:28:54.7311300Z     --dependencies "${DEPENDENCIES}" \
2025-09-07T07:28:54.7311520Z     --dry-run
2025-09-07T07:28:54.7311700Z else
2025-09-07T07:28:54.7311970Z   python3 "${GITHUB_ACTION_PATH}/../../scripts/upload_benchmark_results.py" \
2025-09-07T07:28:54.7312360Z     --benchmark-results-dir "${BENCHMARK_RESULTS_DIR}" \
2025-09-07T07:28:54.7312650Z     --metadata "${BENCHMARK_METADATA}" \
2025-09-07T07:28:54.7312900Z     --runners "${RUNNER_INFO}" \
2025-09-07T07:28:54.7313140Z     --dependencies "${DEPENDENCIES}"
2025-09-07T07:28:54.7313360Z fi
2025-09-07T07:28:54.7326530Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T07:28:54.7326810Z env:
2025-09-07T07:28:54.7326970Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:54.7327170Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:54.7327390Z   TEST_CONFIG: default
2025-09-07T07:28:54.7327570Z   SHARD_NUMBER: 1
2025-09-07T07:28:54.7327720Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:54.7327890Z   PR_BODY: 
2025-09-07T07:28:54.7328050Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:54.7328320Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:54.7328600Z   DEVICE_NAME: 
2025-09-07T07:28:54.7328770Z   DEVICE_TYPE: 
2025-09-07T07:28:54.7328940Z   BENCHMARK_RESULTS_DIR: test/test-reports
2025-09-07T07:28:54.7329150Z   DRY_RUN: false
2025-09-07T07:28:54.7339340Z   BENCHMARK_METADATA: {"timestamp": 1757230133, "schema_version": "v3", "name": "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17524754564, "run_attempt": 1, "job_id": 49773898067}
2025-09-07T07:28:54.7340430Z   RUNNER_INFO: [{"cpu_info": "arm", "cpu_count": 8, "avail_mem_in_gb": 16, "extra_info": {"hostname": "ip-10-0-1-185.ec2.internal"}, "name": "", "type": ""}]
2025-09-07T07:28:54.7340830Z   DEPENDENCIES: {}
2025-09-07T07:28:54.7340990Z ##[endgroup]
2025-09-07T07:28:54.7552040Z + [[ -n '' ]]
2025-09-07T07:28:54.7552310Z + [[ ! -d test/test-reports ]]
2025-09-07T07:28:54.7552520Z + [[ false == \t\r\u\e ]]
2025-09-07T07:28:54.7554240Z + python3 /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py --benchmark-results-dir test/test-reports --metadata '{"timestamp": 1757230133, "schema_version": "v3", "name": "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)", "repo": "pytorch/pytorch", "head_branch": "refs/heads/main", "head_sha": "93fb23d6fae7c4e82c4239a1033e522088742634", "workflow_id": 17524754564, "run_attempt": 1, "job_id": 49773898067}' --runners '[{"cpu_info": "arm", "cpu_count": 8, "avail_mem_in_gb": 16, "extra_info": {"hostname": "ip-10-0-1-185.ec2.internal"}, "name": "", "type": ""}]' --dependencies '{}'
2025-09-07T07:28:54.8482460Z /Users/ec2-user/runner/_work/_actions/pytorch/test-infra/main/.github/actions/upload-benchmark-results/../../scripts/upload_benchmark_results.py:236: UserWarning: {'included': [{'test_file': 'inductor/test_aot_inductor'}, {'test_file': 'inductor/test_kernel_benchmark'}, {'test_file': 'inductor/test_extension_backend'}, {'test_file': 'test_ci_sanity_check_fail'}, {'test_file': 'inductor/test_aot_inductor_arrayref'}, {'test_file': 'inductor/test_compiled_autograd'}, {'test_file': 'inductor/test_inplace_padding'}, {'test_file': 'inductor/test_cudagraph_trees'}, {'test_file': 'test_transformers'}, {'test_file': 'inductor/test_torchinductor'}, {'test_file': 'higher_order_ops/test_with_effects'}, {'test_file': 'dynamo/test_functions'}, {'test_file': 'inductor/test_torchinductor_opinfo'}, {'test_file': 'inductor/test_cuda_repro'}, {'test_file': 'inductor/test_gpu_cpp_wrapper'}, {'test_file': 'dynamo/test_dynamic_shapes'}, {'test_file': 'inductor/test_compile_subprocess'}, {'test_file': 'inductor/test_codecache'}, {'test_file': 'inductor/test_minifier'}, {'test_file': 'inductor/test_torchinductor_codegen_dynamic_shapes'}, {'test_file': 'inductor/test_pattern_matcher'}, {'test_file': 'dynamo/test_repros'}, {'test_file': 'inductor/test_fuzzer'}, {'test_file': 'inductor/test_compiled_optimizers'}, {'test_file': 'functorch/test_aotdispatch'}, {'test_file': 'dynamo/test_pgo'}, {'test_file': 'test_jit_fuser_te'}, {'test_file': 'inductor/test_split_cat_fx_passes'}, {'test_file': 'test_cuda_expandable_segments'}, {'test_file': 'test_type_hints'}, {'test_file': 'inductor/test_split_cat_fx_aten_passes'}, {'test_file': 'inductor/test_torchinductor_dynamic_shapes'}, {'test_file': 'export/test_torchbind'}, {'test_file': 'inductor/test_cudagraph_trees_expandable_segments'}, {'test_file': 'test_nestedtensor'}, {'test_file': 'dynamo/test_modes'}, {'test_file': 'inductor/test_inductor_freezing'}, {'test_file': 'dynamo/test_structured_trace'}, {'test_file': 'inductor/test_control_flow'}, {'test_file': 'inductor/test_padding'}, {'test_file': 'inductor/test_torchbind'}, {'test_file': 'dynamo/test_logging'}, {'test_file': 'dynamo/test_aot_autograd_cache'}, {'test_file': 'dynamo/test_activation_checkpointing'}, {'test_file': 'inductor/test_cpu_repro'}, {'test_file': 'test_cuda'}, {'test_file': 'dynamo/test_trace_rules'}, {'test_file': 'dynamo/test_package'}, {'test_file': 'dynamo/test_compiler_bisector'}, {'test_file': 'inductor/test_fxir_backend'}, {'test_file': 'test_dataloader'}, {'test_file': 'dynamo/test_subclasses'}, {'test_file': 'export/test_draft_export'}, {'test_file': 'test_sparse'}, {'test_file': 'test_reductions'}, {'test_file': 'test_package'}, {'test_file': 'export/test_retraceability'}, {'test_file': 'export/test_export_strict'}, {'test_file': 'inductor/test_triton_extension_backend'}, {'test_file': 'inductor/test_triton_syntax'}, {'test_file': 'test_autoload'}, {'test_file': 'dynamo/test_deque_reconstruct'}, {'test_file': 'test_utils_config_module'}, {'test_file': 'test_mkl_verbose'}, {'test_file': 'export/test_unflatten_training_ir'}, {'test_file': 'inductor/test_cpp_wrapper_hipify'}, {'test_file': 'inductor/test_external_callables'}, {'test_file': 'inductor/test_remote_cache'}, {'test_file': 'export/test_export_training_ir_to_run_decomp'}, {'test_file': 'inductor/test_segmented_tree'}, {'test_file': 'export/test_serdes'}, {'test_file': 'test_comparison_utils'}, {'test_file': 'inductor/test_provenance_tracing'}, {'test_file': 'export/test_functionalized_assertions'}, {'test_file': 'test_license'}, {'test_file': 'dynamo/test_base_output'}, {'test_file': 'inductor/test_triton_kernels'}, {'test_file': 'test_mkldnn_verbose'}, {'test_file': 'inductor/test_inductor_utils'}, {'test_file': 'inductor/test_flex_decoding'}, {'test_file': 'cpp_extensions/torch_stable_test_extension/torch_stable_test/test_torch_stable'}, {'test_file': 'inductor/test_analysis'}, {'test_file': 'test_extension_utils'}, {'test_file': 'test_rename_privateuse1_to_existing_device'}, {'test_file': 'inductor/test_cutedsl_template'}, {'test_file': 'inductor/test_ck_backend'}, {'test_file': 'inductor/test_memory_planning'}, {'test_file': 'export/test_export_with_inline_and_install'}, {'test_file': 'dynamo/test_skip_guard_eval_unsafe'}, {'test_file': 'dynamo/test_buffers_override'}, {'test_file': 'test_custom_ops'}, {'test_file': 'inductor/test_flex_attention'}, {'test_file': 'inductor/test_b2b_gemm'}, {'test_file': 'functorch/test_ac_logging'}, {'test_file': 'inductor/test_inductor_annotations'}, {'test_file': 'dynamo/test_resume'}, {'test_file': 'inductor/test_template_heuristics_registry'}, {'test_file': 'inductor/test_debug_trace'}, {'test_file': 'test_ao_sparsity'}, {'test_file': 'inductor/test_cutlass_backend'}, {'test_file': 'test_cpp_api_parity'}, {'test_file': 'inductor/test_async_compile'}, {'test_file': 'dynamo/test_nops'}, {'test_file': 'torch_np/test_nep50_examples'}, {'test_file': 'torch_np/test_binary_ufuncs'}, {'test_file': 'inductor/test_best_config'}, {'test_file': 'test_hop_infra'}, {'test_file': 'torch_np/test_unary_ufuncs'}, {'test_file': 'inductor/test_aot_inductor_package'}, {'test_file': 'inductor/test_triton_cpu_backend'}, {'test_file': 'inductor/test_pad_mm'}, {'test_file': 'typing/test_python_operators'}, {'test_file': 'inductor/test_aot_inductor_custom_ops'}, {'test_file': 'inductor/test_compile_worker'}, {'test_file': 'dynamo/test_modules'}, {'test_file': 'dynamo/test_global'}, {'test_file': 'export/test_export'}, {'test_file': 'test_foreach'}, {'test_file': 'test_appending_byte_serializer'}, {'test_file': 'test_fx_experimental'}, {'test_file': 'inductor/test_triton_wrapper'}, {'test_file': 'inductor/test_torchinductor_strided_blocks'}, {'test_file': 'test_file_check'}, {'test_file': 'dynamo/test_interop'}, {'test_file': 'dynamo/test_metrics_context'}, {'test_file': 'test_functionalization'}, {'test_file': 'dynamo/test_inline_and_install'}, {'test_file': 'inductor/test_smoke'}, {'test_file': 'torch_np/test_ufuncs_basic'}, {'test_file': 'test_proxy_tensor'}, {'test_file': 'inductor/test_fx_fusion'}, {'test_file': 'inductor/test_move_constructors_to_cuda'}, {'test_file': 'dynamo/test_skip_non_tensor'}, {'test_file': 'export/test_tree_utils'}, {'test_file': 'dynamo/test_frame_init'}, {'test_file': 'test_fx'}, {'test_file': 'torch_np/test_dtype'}, {'test_file': 'inductor/test_indexing'}, {'test_file': 'inductor/test_minifier_utils'}, {'test_file': 'test_typing'}, {'test_file': 'test_transformers_privateuse1'}, {'test_file': 'functorch/test_aot_joint_with_descriptors'}, {'test_file': 'test_utils_filelock'}, {'test_file': 'inductor/test_metrics'}, {'test_file': 'inductor/test_coordinate_descent_tuner'}, {'test_file': 'inductor/test_foreach'}, {'test_file': 'backends/xeon/test_launch'}, {'test_file': 'dynamo/test_dicts'}, {'test_file': 'dynamo/test_sdpa'}, {'test_file': 'dynamo/test_list'}, {'test_file': 'inductor/test_autoheuristic'}, {'test_file': 'test_flop_counter'}, {'test_file': 'xpu/test_fusion'}, {'test_file': 'dynamo/test_fx_graph_runnable'}, {'test_file': 'inductor/test_ordered_set'}, {'test_file': 'dynamo/test_recompiles'}, {'test_file': 'test_per_overload_api'}, {'test_file': 'inductor/test_xpu_basic'}, {'test_file': 'export/test_cpp_serdes'}, {'test_file': 'inductor/test_utils'}, {'test_file': 'test_pytree'}, {'test_file': 'inductor/test_fp8'}, {'test_file': 'dynamo/test_nested_graph_breaks'}, {'test_file': 'dynamo/test_pre_dispatch'}, {'test_file': 'dynamo/test_fx_passes_pre_grad'}, {'test_file': 'test_openreg'}, {'test_file': 'inductor/test_combo_kernels'}, {'test_file': 'inductor/test_device_assert'}, {'test_file': 'inductor/test_op_completeness'}, {'test_file': 'export/test_tools'}, {'test_file': 'export/test_export_opinfo'}, {'test_file': 'dynamo/test_subgraphs'}, {'test_file': 'profiler/test_kineto'}, {'test_file': 'inductor/test_subgraph_choice'}, {'test_file': 'dynamo/test_utils'}, {'test_file': 'test_logging'}, {'test_file': 'test_expanded_weights'}, {'test_file': 'inductor/test_static_cuda_launcher'}, {'test_file': 'torch_np/test_random'}, {'test_file': 'inductor/test_triton_heuristics'}, {'test_file': 'export/test_schema'}, {'test_file': 'dynamo/test_reconstruct'}, {'test_file': 'inductor/test_helion_kernels'}, {'test_file': 'test_compile_benchmark_util'}, {'test_file': 'inductor/test_aot_inductor_utils'}, {'test_file': 'inductor/test_benchmark_fusion'}, {'test_file': 'inductor/test_cpu_cpp_wrapper'}, {'test_file': 'export/test_upgrader'}, {'test_file': 'higher_order_ops/test_invoke_subgraph'}, {'test_file': 'test_optim'}, {'test_file': 'export/test_passes'}, {'test_file': 'inductor/test_kernel_optimization'}, {'test_file': 'test_namedtensor'}, {'test_file': 'dynamo/test_autograd_function'}, {'test_file': 'inductor/test_profiler'}, {'test_file': 'inductor/test_select_algorithm'}, {'test_file': 'inductor/test_alignment'}, {'test_file': 'dynamo/test_config'}, {'test_file': 'dynamo/test_compile'}, {'test_file': 'test_openmp'}, {'test_file': 'functorch/test_ops'}, {'test_file': 'test_import_stats'}, {'test_file': 'test_binary_ufuncs'}, {'test_file': 'lazy/test_bindings'}, {'test_file': 'test_fx_passes'}, {'test_file': 'export/test_db'}, {'test_file': 'inductor/test_group_batch_fusion'}, {'test_file': 'cpp_extensions/python_agnostic_extension/test/test_python_agnostic'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarinherit'}, {'test_file': 'inductor/test_graph_transform_observer'}, {'test_file': 'test_show_pickle'}, {'test_file': 'inductor/test_quantization'}, {'test_file': 'test_native_functions'}, {'test_file': 'test_utils'}, {'test_file': 'dynamo/test_install_free_tensors'}, {'test_file': 'dynamo/test_graph_region_tracker'}, {'test_file': 'inductor/test_cooperative_reductions'}, {'test_file': 'inductor/test_inplacing_pass'}, {'test_file': 'inductor/test_inductor_scheduler'}, {'test_file': 'inductor/test_cpu_select_algorithm'}, {'test_file': 'inductor/test_codegen_triton'}, {'test_file': 'export/test_package'}, {'test_file': 'inductor/test_cudacodecache'}, {'test_file': 'dynamo/test_export'}, {'test_file': 'inductor/test_custom_post_grad_passes'}, {'test_file': 'test_hub'}, {'test_file': 'dynamo/test_view'}, {'test_file': 'test_module_tracker'}, {'test_file': 'dynamo/test_after_aot'}, {'test_file': 'test_complex'}, {'test_file': 'test_meta'}, {'test_file': 'xpu/test_gemm'}, {'test_file': 'test_tensorexpr'}, {'test_file': 'inductor/test_halide'}, {'test_file': 'higher_order_ops/test_invoke_quant'}, {'test_file': 'inductor/test_online_softmax'}, {'test_file': 'dynamo/test_unittest'}, {'test_file': 'inductor/test_max_autotune'}, {'test_file': 'dynamo/test_guard_serialization'}, {'test_file': 'functorch/test_minifier'}, {'test_file': 'test_legacy_vmap'}, {'test_file': 'dynamo/test_cudagraphs_expandable_segments'}, {'test_file': 'test_multiprocessing'}, {'test_file': 'torch_np/numpy_tests/core/test_einsum'}, {'test_file': 'inductor/test_benchmarking'}, {'test_file': 'dynamo/test_model_output'}, {'test_file': 'torch_np/test_basic'}, {'test_file': 'test_segment_reductions'}, {'test_file': 'test_ops_fwd_gradients'}, {'test_file': 'inductor/test_compile'}, {'test_file': 'test_dispatch'}, {'test_file': 'test_pruning_op'}, {'test_file': 'inductor/test_multi_kernel'}, {'test_file': 'inductor/test_decompose_mem_bound_mm'}, {'test_file': 'inductor/test_block_analysis'}, {'test_file': 'inductor/test_minifier_isolate'}, {'test_file': 'export/test_swap'}, {'test_file': 'profiler/test_profiler'}, {'test_file': 'inductor/test_op_dtype_prop'}, {'test_file': 'test_tensorexpr_pybind'}, {'test_file': 'dynamo/test_misc'}, {'test_file': 'inductor/test_loop_ordering'}, {'test_file': 'inductor/test_cutlass_evt'}, {'test_file': 'dynamo/test_sets'}, {'test_file': 'test_numpy_interop'}, {'test_file': 'dynamo/test_backward_higher_order_ops'}, {'test_file': 'inductor/test_torchinductor_codegen_config_overrides'}, {'test_file': 'dynamo/test_export_mutations'}, {'test_file': 'inductor/test_scatter_optimization'}, {'test_file': 'xpu/test_conv'}, {'test_file': 'test_ops_jit'}, {'test_file': 'inductor/test_perf'}, {'test_file': 'test_jit'}, {'test_file': 'inductor/test_layout_optim'}, {'test_file': 'nn/test_multihead_attention'}, {'test_file': 'inductor/test_binary_folding'}, {'test_file': 'inductor/test_snode_runtime'}, {'test_file': 'distributions/test_constraints'}, {'test_file': 'functorch/test_ac_knapsack'}, {'test_file': 'profiler/test_record_function'}, {'test_file': 'export/test_serialize'}, {'test_file': 'test_ops_gradients'}, {'test_file': 'functorch/test_vmap'}, {'test_file': 'dynamo/test_flat_apply'}, {'test_file': 'export/test_unflatten'}, {'test_file': 'test_jiterator'}, {'test_file': 'lazy/test_step_closures'}, {'test_file': 'test_namedtuple_return_api'}, {'test_file': 'inductor/test_memory'}, {'test_file': 'test_monitor'}, {'test_file': 'functorch/test_logging'}, {'test_file': 'test_stateless'}, {'test_file': 'torch_np/numpy_tests/core/test_numeric'}, {'test_file': 'test_weak'}, {'test_file': 'test_cpp_extensions_mtia_backend'}, {'test_file': 'inductor/test_mkldnn_pattern_matcher'}, {'test_file': 'test_jit_disabled'}, {'test_file': 'dynamo/test_optimizers'}, {'test_file': 'functorch/test_ac'}, {'test_file': 'inductor/test_dependencies'}, {'test_file': 'test_content_store'}, {'test_file': 'inductor/test_custom_lowering'}, {'test_file': 'dynamo/test_profiler'}, {'test_file': 'optim/test_lrscheduler'}, {'test_file': 'test_fake_tensor'}, {'test_file': 'inductor/test_needs_exact_strides'}, {'test_file': 'inductor/test_config'}, {'test_file': 'dynamo/test_sources'}, {'test_file': 'test_cuda_trace'}, {'test_file': 'dynamo/test_base_hop'}, {'test_file': 'inductor/test_fused_attention'}, {'test_file': 'export/test_nativert'}, {'test_file': 'dynamo/test_backends'}, {'test_file': 'dynamo/test_verify_correctness'}, {'test_file': 'dynamo/test_python_dispatcher'}, {'test_file': 'test_set_default_mobile_cpu_allocator'}, {'test_file': 'torch_np/test_indexing'}, {'test_file': 'torch_np/test_scalars_0D_arrays'}, {'test_file': 'test_cpp_extensions_stream_and_event'}, {'test_file': 'test_numba_integration'}, {'test_file': 'dynamo/test_cudagraphs'}, {'test_file': 'dynamo/test_deviceguard'}, {'test_file': 'torch_np/numpy_tests/lib/test_function_base'}, {'test_file': 'test_tensorboard'}, {'test_file': 'dynamo/test_higher_order_ops'}, {'test_file': 'dynamo/test_comptime'}, {'test_file': 'test_datapipe'}, {'test_file': 'dynamo/test_debug_utils'}, {'test_file': 'test_out_dtype_op'}, {'test_file': 'functorch/test_eager_transforms'}, {'test_file': 'export/test_hop'}, {'test_file': 'profiler/test_cpp_thread'}, {'test_file': 'inductor/test_auto_functionalize'}, {'test_file': 'torch_np/test_function_base'}, {'test_file': 'cpp_extensions/libtorch_agnostic_extension/test/test_libtorch_agnostic'}, {'test_file': 'dynamo/test_aot_autograd'}, {'test_file': 'dynamo/test_graph_deduplication'}, {'test_file': 'test_model_exports_to_core_aten'}, {'test_file': 'test_itt'}, {'test_file': 'test_modules'}, {'test_file': 'test_python_dispatch'}, {'test_file': 'test_tensor_creation_ops'}, {'test_file': 'test_cuda_sanitizer'}, {'test_file': 'inductor/test_efficient_conv_bn_eval'}, {'test_file': 'dynamo/test_error_messages'}, {'test_file': 'inductor/test_unbacked_symints'}, {'test_file': 'test_cuda_nvml_based_avail'}, {'test_file': 'inductor/test_mps_basic'}, {'test_file': 'test_autograd_fallback'}, {'test_file': 'torch_np/numpy_tests/core/test_indexing'}, {'test_file': 'dynamo/test_decorators'}, {'test_file': 'nn/test_lazy_modules'}, {'test_file': 'test_fx_reinplace_pass'}, {'test_file': 'torch_np/numpy_tests/lib/test_type_check'}, {'test_file': 'inductor/test_custom_partitioner_fn'}, {'test_file': 'test_type_info'}, {'test_file': 'dynamo/test_unspec'}, {'test_file': 'lazy/test_functionalization'}, {'test_file': 'dynamo/test_aot_compile'}, {'test_file': 'test_functionalization_of_rng_ops'}, {'test_file': 'test_subclass'}, {'test_file': 'test_decomp'}, {'test_file': 'dynamo/test_einops'}, {'test_file': 'dynamo/test_callback'}, {'test_file': 'nn/test_parametrization'}, {'test_file': 'test_masked'}, {'test_file': 'export/test_experimental'}, {'test_file': 'nn/test_pruning'}, {'test_file': 'export/test_converter'}, {'test_file': 'test_bundled_inputs'}, {'test_file': 'torch_np/numpy_tests/lib/test_histograms'}, {'test_file': 'test_maskedtensor'}, {'test_file': 'test_autograd'}, {'test_file': 'dynamo/test_reorder_logs'}, {'test_file': 'dynamo/test_exceptions'}, {'test_file': 'export/test_lift_unlift'}, {'test_file': 'dynamo/test_torchrec'}, {'test_file': 'test_public_bindings'}, {'test_file': 'dynamo/test_exc'}, {'test_file': 'test_sparse_semi_structured'}, {'test_file': 'dynamo/test_input_attr_tracking'}, {'test_file': 'functorch/test_control_flow'}, {'test_file': 'test_matmul_cuda'}, {'test_file': 'test_sympy_utils'}, {'test_file': 'inductor/test_mmdecomp'}, {'test_file': 'test_schema_check'}, {'test_file': 'export/test_pass_infra'}, {'test_file': 'dynamo/test_minifier'}, {'test_file': 'profiler/test_execution_trace'}, {'test_file': 'torch_np/numpy_tests/core/test_scalarmath'}, {'test_file': 'benchmark_utils/test_benchmark_utils'}, {'test_file': 'optim/test_swa_utils'}, {'test_file': 'dynamo/test_ctx_manager'}, {'test_file': 'dynamo/test_guard_manager'}, {'test_file': 'optim/test_optim'}, {'test_file': 'lazy/test_ts_opinfo'}, {'test_file': 'dynamo/test_recompile_ux'}, {'test_file': 'test_futures'}, {'test_file': 'dynamo/test_bytecode_utils'}, {'test_file': 'test_dynamic_shapes'}, {'test_file': 'functorch/test_vmap_registrations'}, {'test_file': 'dynamo/test_precompile_context'}, {'test_file': 'torch_np/numpy_tests/core/test_dtype'}, {'test_file': 'dynamo/test_fake_distributed'}, {'test_file': 'inductor/test_distributed_patterns'}, {'test_file': 'test_autocast'}, {'test_file': 'torch_np/numpy_tests/core/test_shape_base'}, {'test_file': 'dynamo/test_hooks'}, {'test_file': 'nn/test_packed_sequence'}, {'test_file': 'export/test_verifier'}, {'test_file': 'export/test_sparse'}, {'test_file': 'dynamo/test_generator'}, {'test_file': 'test_torch'}, {'test_file': 'test_serialization'}, {'test_file': 'test_shape_ops'}, {'test_file': 'lazy/test_generator'}, {'test_file': 'test_numa_binding'}, {'test_file': 'torch_np/numpy_tests/lib/test_twodim_base'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraypad'}, {'test_file': 'test_accelerator'}, {'test_file': 'torch_np/numpy_tests/core/test_getlimits'}, {'test_file': 'nn/test_embedding'}, {'test_file': 'test_testing'}, {'test_file': 'torch_np/numpy_tests/fft/test_helper'}, {'test_file': 'nn/test_dropout'}, {'test_file': 'test_functional_optim'}, {'test_file': 'test_indexing'}, {'test_file': 'torch_np/numpy_tests/fft/test_pocketfft'}, {'test_file': 'torch_np/test_ndarray_methods'}, {'test_file': 'test_sort_and_select'}, {'test_file': 'torch_np/numpy_tests/lib/test_index_tricks'}, {'test_file': 'torch_np/numpy_tests/lib/test_shape_base_'}, {'test_file': 'test_cpp_extensions_jit'}, {'test_file': 'test_vulkan'}, {'test_file': 'torch_np/numpy_tests/linalg/test_linalg'}, {'test_file': 'nn/test_load_state_dict'}, {'test_file': 'test_ops'}, {'test_file': 'test_jit_llga_fuser'}, {'test_file': 'test_native_mha'}, {'test_file': 'test_cuda_primary_ctx'}, {'test_file': 'nn/test_module_hooks'}, {'test_file': 'test_view_ops'}, {'test_file': 'test_xnnpack_integration'}, {'test_file': 'test_mkldnn'}, {'test_file': 'torch_np/numpy_tests/core/test_dlpack'}, {'test_file': 'test_linalg'}, {'test_file': 'test_nn'}, {'test_file': 'test_mkldnn_fusion'}, {'test_file': 'test_sparse_csr'}, {'test_file': 'test_scatter_gather_ops'}, {'test_file': 'dynamo/test_python_autograd'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_methods'}, {'test_file': 'torch_np/numpy_tests/core/test_numerictypes'}, {'test_file': 'profiler/test_memory_profiler'}, {'test_file': 'nn/test_pooling'}, {'test_file': 'test_unary_ufuncs'}, {'test_file': 'lazy/test_debug_util'}, {'test_file': 'test_multiprocessing_spawn'}, {'test_file': 'nn/test_convolution'}, {'test_file': 'nn/test_init'}, {'test_file': 'torch_np/numpy_tests/lib/test_arraysetops'}, {'test_file': 'test_functional_autograd_benchmark'}, {'test_file': 'test_overrides'}, {'test_file': 'test_function_schema'}, {'test_file': 'test_cuda_multigpu'}, {'test_file': 'test_mobile_optimizer'}, {'test_file': 'test_type_promotion'}, {'test_file': 'torch_np/test_reductions'}, {'test_file': 'test_dlpack'}, {'test_file': 'torch_np/numpy_tests/core/test_scalar_ctors'}, {'test_file': 'profiler/test_profiler_tree'}, {'test_file': 'test_spectral_ops'}, {'test_file': 'test_prims'}, {'test_file': 'test_jit_autocast'}, {'test_file': 'profiler/test_torch_tidy'}, {'test_file': 'profiler/test_python_tracer'}, {'test_file': 'lazy/test_reuse_ir'}, {'test_file': 'distributions/test_distributions'}, {'test_file': 'test_quantization'}, {'test_file': 'doctests'}, {'test_file': 'test_autoload_disable'}, {'test_file': 'test_autoload_enable'}, {'test_file': 'test_cpp_extensions_aot_ninja'}, {'test_file': 'test_cpp_extensions_aot_no_ninja'}], 'excluded': []} from test/test-reports/td_exclusions-b241e0900398327cc068.json is not a benchmark record, skipping
2025-09-07T07:28:54.8524470Z   warn(f"{result} from {filepath} is not a benchmark record, skipping")
2025-09-07T07:28:54.8606050Z Prepare all required actions
2025-09-07T07:28:54.8606360Z Getting action download info
2025-09-07T07:28:54.9558470Z ##[group]Run ./.github/actions/upload-utilization-stats
2025-09-07T07:28:54.9558900Z with:
2025-09-07T07:28:54.9559140Z   job_id: 49773898067
2025-09-07T07:28:54.9559530Z   job_name: macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-09-07T07:28:54.9559990Z   workflow_name: trunk
2025-09-07T07:28:54.9560300Z   workflow_run_id: 17524754564
2025-09-07T07:28:54.9560610Z   workflow_attempt: 1
2025-09-07T07:28:54.9560930Z   local_path: usage_log.txt
2025-09-07T07:28:54.9561220Z env:
2025-09-07T07:28:54.9561440Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:54.9561770Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:54.9562160Z   TEST_CONFIG: default
2025-09-07T07:28:54.9562420Z   SHARD_NUMBER: 1
2025-09-07T07:28:54.9562690Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:54.9563040Z   PR_BODY: 
2025-09-07T07:28:54.9563280Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:54.9563770Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:54.9564210Z   DEVICE_NAME: 
2025-09-07T07:28:54.9564450Z   DEVICE_TYPE: 
2025-09-07T07:28:54.9564700Z ##[endgroup]
2025-09-07T07:28:54.9596400Z ##[group]Run echo "workflow_id: 17524754564"
2025-09-07T07:28:54.9596730Z echo "workflow_id: 17524754564"
2025-09-07T07:28:54.9597030Z echo "workflow_attempt: 1"
2025-09-07T07:28:54.9597310Z echo "workflow_Name: trunk"
2025-09-07T07:28:54.9597590Z echo "job_id: 49773898067"
2025-09-07T07:28:54.9598010Z echo "job_name:  macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)"
2025-09-07T07:28:54.9598430Z echo "artifact_prefix: "
2025-09-07T07:28:54.9598710Z python3 --version
2025-09-07T07:28:54.9615480Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T07:28:54.9615890Z env:
2025-09-07T07:28:54.9616070Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:54.9616380Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:54.9616680Z   TEST_CONFIG: default
2025-09-07T07:28:54.9616910Z   SHARD_NUMBER: 1
2025-09-07T07:28:54.9617110Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:54.9617320Z   PR_BODY: 
2025-09-07T07:28:54.9617520Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:54.9617890Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:54.9618250Z   DEVICE_NAME: 
2025-09-07T07:28:54.9618440Z   DEVICE_TYPE: 
2025-09-07T07:28:54.9618630Z ##[endgroup]
2025-09-07T07:28:54.9858030Z workflow_id: 17524754564
2025-09-07T07:28:54.9858350Z workflow_attempt: 1
2025-09-07T07:28:54.9858540Z workflow_Name: trunk
2025-09-07T07:28:54.9858750Z job_id: 49773898067
2025-09-07T07:28:54.9859020Z job_name:  macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)
2025-09-07T07:28:54.9859530Z artifact_prefix: 
2025-09-07T07:28:54.9917900Z Python 3.12.11
2025-09-07T07:28:54.9949990Z ##[group]Run nick-fields/retry@v3.0.0
2025-09-07T07:28:54.9950250Z with:
2025-09-07T07:28:54.9950430Z   shell: bash
2025-09-07T07:28:54.9950580Z   timeout_minutes: 5
2025-09-07T07:28:54.9950750Z   max_attempts: 5
2025-09-07T07:28:54.9950940Z   retry_wait_seconds: 30
2025-09-07T07:28:54.9951310Z   command: set -eu
python3 -m pip install python-dateutil==2.8.2 boto3==1.35.42 pandas==2.1.3 dataclasses_json==0.6.7

2025-09-07T07:28:54.9951710Z   polling_interval_seconds: 1
2025-09-07T07:28:54.9951930Z   warning_on_retry: true
2025-09-07T07:28:54.9952110Z   continue_on_error: false
2025-09-07T07:28:54.9952300Z env:
2025-09-07T07:28:54.9952450Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:54.9952640Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:54.9952860Z   TEST_CONFIG: default
2025-09-07T07:28:54.9953070Z   SHARD_NUMBER: 1
2025-09-07T07:28:54.9953260Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:54.9953470Z   PR_BODY: 
2025-09-07T07:28:54.9953630Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:54.9953920Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:54.9954270Z   DEVICE_NAME: 
2025-09-07T07:28:54.9954770Z   DEVICE_TYPE: 
2025-09-07T07:28:54.9954930Z ##[endgroup]
2025-09-07T07:28:55.2599270Z Collecting python-dateutil==2.8.2
2025-09-07T07:28:55.2620450Z   Using cached python_dateutil-2.8.2-py2.py3-none-any.whl.metadata (8.2 kB)
2025-09-07T07:28:55.3932280Z Collecting boto3==1.35.42
2025-09-07T07:28:55.3956140Z   Using cached boto3-1.35.42-py3-none-any.whl.metadata (6.7 kB)
2025-09-07T07:28:55.4601960Z Collecting pandas==2.1.3
2025-09-07T07:28:55.4622640Z   Using cached pandas-2.1.3-cp312-cp312-macosx_11_0_arm64.whl.metadata (18 kB)
2025-09-07T07:28:55.4747970Z Requirement already satisfied: dataclasses_json==0.6.7 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (0.6.7)
2025-09-07T07:28:55.4753040Z Requirement already satisfied: six>=1.5 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from python-dateutil==2.8.2) (1.17.0)
2025-09-07T07:28:55.4758390Z Requirement already satisfied: botocore<1.36.0,>=1.35.42 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from boto3==1.35.42) (1.35.99)
2025-09-07T07:28:55.4760590Z Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from boto3==1.35.42) (1.0.1)
2025-09-07T07:28:55.4764810Z Requirement already satisfied: s3transfer<0.11.0,>=0.10.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from boto3==1.35.42) (0.10.4)
2025-09-07T07:28:55.4771370Z Requirement already satisfied: numpy<2,>=1.26.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from pandas==2.1.3) (1.26.4)
2025-09-07T07:28:55.4996690Z Collecting pytz>=2020.1 (from pandas==2.1.3)
2025-09-07T07:28:55.5011510Z   Using cached pytz-2025.2-py2.py3-none-any.whl.metadata (22 kB)
2025-09-07T07:28:55.5149940Z Collecting tzdata>=2022.1 (from pandas==2.1.3)
2025-09-07T07:28:55.5164800Z   Using cached tzdata-2025.2-py2.py3-none-any.whl.metadata (1.4 kB)
2025-09-07T07:28:55.5207870Z Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from dataclasses_json==0.6.7) (3.26.1)
2025-09-07T07:28:55.5211020Z Requirement already satisfied: typing-inspect<1,>=0.4.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from dataclasses_json==0.6.7) (0.9.0)
2025-09-07T07:28:55.5229260Z Requirement already satisfied: urllib3!=2.2.0,<3,>=1.25.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from botocore<1.36.0,>=1.35.42->boto3==1.35.42) (1.26.20)
2025-09-07T07:28:55.5238670Z Requirement already satisfied: packaging>=17.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from marshmallow<4.0.0,>=3.18.0->dataclasses_json==0.6.7) (23.1)
2025-09-07T07:28:55.5274510Z Requirement already satisfied: mypy-extensions>=0.3.0 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (1.1.0)
2025-09-07T07:28:55.5276880Z Requirement already satisfied: typing-extensions>=3.7.4 in /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941/lib/python3.12/site-packages (from typing-inspect<1,>=0.4.0->dataclasses_json==0.6.7) (4.15.0)
2025-09-07T07:28:55.5330280Z Using cached python_dateutil-2.8.2-py2.py3-none-any.whl (247 kB)
2025-09-07T07:28:55.5380990Z Using cached boto3-1.35.42-py3-none-any.whl (139 kB)
2025-09-07T07:28:55.5418950Z Using cached pandas-2.1.3-cp312-cp312-macosx_11_0_arm64.whl (10.6 MB)
2025-09-07T07:28:55.5751450Z Using cached pytz-2025.2-py2.py3-none-any.whl (509 kB)
2025-09-07T07:28:55.5793950Z Using cached tzdata-2025.2-py2.py3-none-any.whl (347 kB)
2025-09-07T07:28:55.6768260Z Installing collected packages: pytz, tzdata, python-dateutil, pandas, boto3
2025-09-07T07:28:55.8091060Z   Attempting uninstall: python-dateutil
2025-09-07T07:28:55.8131750Z     Found existing installation: python-dateutil 2.9.0.post0
2025-09-07T07:28:55.8154720Z     Uninstalling python-dateutil-2.9.0.post0:
2025-09-07T07:28:55.8170320Z       Successfully uninstalled python-dateutil-2.9.0.post0
2025-09-07T07:28:58.3487210Z   Attempting uninstall: boto3
2025-09-07T07:28:58.3509880Z     Found existing installation: boto3 1.35.33
2025-09-07T07:28:58.3539820Z     Uninstalling boto3-1.35.33:
2025-09-07T07:28:58.3554620Z       Successfully uninstalled boto3-1.35.33
2025-09-07T07:28:58.3965510Z 
2025-09-07T07:28:58.4005350Z Successfully installed boto3-1.35.42 pandas-2.1.3 python-dateutil-2.8.2 pytz-2025.2 tzdata-2025.2
2025-09-07T07:28:58.4028770Z 
2025-09-07T07:28:58.4028990Z [notice] A new release of pip is available: 25.1.1 -> 25.2
2025-09-07T07:28:58.4029350Z [notice] To update, run: pip install --upgrade pip
2025-09-07T07:28:59.0742290Z Command completed after 1 attempt(s).
2025-09-07T07:28:59.0924800Z ##[group]Run python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-09-07T07:28:59.0926410Z python3 -m tools.stats.upload_utilization_stats.upload_utilization_stats \
2025-09-07T07:28:59.0927540Z   --workflow-run-id "17524754564" \
2025-09-07T07:28:59.0928330Z   --workflow-name "trunk" \
2025-09-07T07:28:59.0929110Z   --workflow-run-attempt "1" \
2025-09-07T07:28:59.0929870Z   --job-id "49773898067" \
2025-09-07T07:28:59.0930860Z   --job-name "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)" \
2025-09-07T07:28:59.0931880Z   --local-path "usage_log.txt" \
2025-09-07T07:28:59.0932660Z   --artifact-prefix ""
2025-09-07T07:28:59.1078520Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T07:28:59.1079270Z env:
2025-09-07T07:28:59.1079750Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:28:59.1080540Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:28:59.1081180Z   TEST_CONFIG: default
2025-09-07T07:28:59.1081690Z   SHARD_NUMBER: 1
2025-09-07T07:28:59.1082120Z   NUM_TEST_SHARDS: 3
2025-09-07T07:28:59.1082580Z   PR_BODY: 
2025-09-07T07:28:59.1082990Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:28:59.1083750Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:28:59.1084540Z   DEVICE_NAME: 
2025-09-07T07:28:59.1085010Z   DEVICE_TYPE: 
2025-09-07T07:28:59.1085430Z ##[endgroup]
2025-09-07T07:29:02.0328560Z repo: pytorch/pytorch
2025-09-07T07:29:02.0328920Z Converted Log Model: UtilizationMetadata:
2025-09-07T07:29:02.0329870Z  UtilizationMetadata(level='metadata', workflow_id='17524754564', job_id='49773898067', workflow_name='trunk', job_name='macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)', usage_collect_interval=1.0, data_model_version=1.5, start_at=1757225968, gpu_count=0, cpu_count=8, gpu_type=None, error=None)
2025-09-07T07:29:02.0331170Z [Db Segments] detected pytest cmd: 0, generated segments: 0
2025-09-07T07:29:02.0331530Z [db model] Peek db timeseries 
2025-09-07T07:29:02.0331740Z :{
2025-09-07T07:29:02.0331970Z     "created_at": 1757230141,
2025-09-07T07:29:02.0332200Z     "type": "utilization",
2025-09-07T07:29:02.0332400Z     "tags": [
2025-09-07T07:29:02.0332580Z         "record"
2025-09-07T07:29:02.0332760Z     ],
2025-09-07T07:29:02.0332910Z     "time_stamp": 1757225968,
2025-09-07T07:29:02.0333150Z     "repo": "pytorch/pytorch",
2025-09-07T07:29:02.0333390Z     "workflow_id": 17524754564,
2025-09-07T07:29:02.0333590Z     "run_attempt": 1,
2025-09-07T07:29:02.0333800Z     "job_id": 49773898067,
2025-09-07T07:29:02.0334030Z     "workflow_name": "trunk",
2025-09-07T07:29:02.0334330Z     "job_name": "macos-py3-arm64 / test (default, 1, 3, macos-m1-stable)",
2025-09-07T07:29:02.0334850Z     "json_data": "{\"cpu\": {\"avg\": 0.0, \"max\": 0.0, \"raw\": [0.0]}, \"memory\": {\"avg\": 23.3, \"max\": 23.3, \"raw\": [23.3]}, \"gpu_usage\": null}"
2025-09-07T07:29:02.0335240Z }
2025-09-07T07:29:02.0335610Z Writing 1 documents to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17524754564/1/49773898067/metadata
2025-09-07T07:29:02.0336790Z Done! Finish writing document to S3 ossci-utilization/util_metadata/v_1.5/pytorch/pytorch/17524754564/1/49773898067/metadata 
2025-09-07T07:29:02.0337500Z Writing 831 documents to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17524754564/1/49773898067/time_series
2025-09-07T07:29:02.0338190Z Done! Finish writing document to S3 ossci-utilization/util_timeseries/v_1.5/pytorch/pytorch/17524754564/1/49773898067/time_series 
2025-09-07T07:29:02.1017540Z ##[group]Run if [[ -n "$REINSTALL_BREW_MINICONDA" ]]; then
2025-09-07T07:29:02.1017890Z if [[ -n "$REINSTALL_BREW_MINICONDA" ]]; then
2025-09-07T07:29:02.1018160Z     brew install --cask miniconda
2025-09-07T07:29:02.1018370Z fi
2025-09-07T07:29:02.1031800Z shell: /bin/bash -e -l {0}
2025-09-07T07:29:02.1032000Z env:
2025-09-07T07:29:02.1032140Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:29:02.1032340Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:29:02.1032560Z   TEST_CONFIG: default
2025-09-07T07:29:02.1032720Z   SHARD_NUMBER: 1
2025-09-07T07:29:02.1032910Z   NUM_TEST_SHARDS: 3
2025-09-07T07:29:02.1033070Z   PR_BODY: 
2025-09-07T07:29:02.1033230Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:29:02.1033490Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:29:02.1033770Z   DEVICE_NAME: 
2025-09-07T07:29:02.1033930Z   DEVICE_TYPE: 
2025-09-07T07:29:02.1034070Z ##[endgroup]
2025-09-07T07:29:03.7419690Z ==> Caveats
2025-09-07T07:29:03.7420000Z Please run the following to setup your shell:
2025-09-07T07:29:03.7420270Z   conda init "$(basename "${SHELL}")"
2025-09-07T07:29:03.7420440Z 
2025-09-07T07:29:03.7420580Z Alternatively, manually add the following to your shell init:
2025-09-07T07:29:03.7420900Z   eval "$(conda "shell.$(basename "${SHELL}")" hook)"
2025-09-07T07:29:03.7421300Z 
2025-09-07T07:29:03.8846770Z ==> Downloading https://raw.githubusercontent.com/Homebrew/homebrew-cask/b827bab3785c2dee5695ea534ea480cab2225a71/Casks/m/miniconda.rb
2025-09-07T07:29:03.9219410Z ==> Downloading https://repo.anaconda.com/miniconda/Miniconda3-py313_25.7.0-2-MacOSX-arm64.sh
2025-09-07T07:29:04.0939990Z Already downloaded: /Users/ec2-user/Library/Caches/Homebrew/downloads/60f9c25f1c65a6000428ff0ff524a5414829fcebbff9cac3bc2e84a1e6c1abc6--Miniconda3-py313_25.7.0-2-MacOSX-arm64.sh
2025-09-07T07:29:06.1823320Z ==> Installing Cask miniconda
2025-09-07T07:29:06.4253950Z ==> Running installer script 'Miniconda3-py313_25.7.0-2-MacOSX-arm64.sh'
2025-09-07T07:29:07.4022130Z PREFIX=/opt/homebrew/Caskroom/miniconda/base
2025-09-07T07:29:07.6821020Z Unpacking bootstrapper...
2025-09-07T07:29:07.7717850Z Unpacking payload...
2025-09-07T07:29:19.3542830Z 
2025-09-07T07:29:19.3543600Z Installing base environment...
2025-09-07T07:29:19.3543800Z 
2025-09-07T07:29:23.8472730Z Preparing transaction: ...working... done
2025-09-07T07:29:35.4782530Z Executing transaction: ...working... 
2025-09-07T07:29:35.4782840Z done
2025-09-07T07:29:37.7922080Z installation finished.
2025-09-07T07:29:37.7931470Z ==> Linking Binary 'conda' to '/opt/homebrew/bin/conda'
2025-09-07T07:29:37.9130540Z 🍺  miniconda was successfully installed!
2025-09-07T07:29:37.9284350Z ==> No outdated dependents to upgrade!
2025-09-07T07:29:37.9437700Z ##[group]Run pytorch/test-infra/.github/actions/check-disk-space@main
2025-09-07T07:29:37.9437980Z with:
2025-09-07T07:29:37.9438150Z   minimum-available-space-in-gb: 6
2025-09-07T07:29:37.9438360Z env:
2025-09-07T07:29:37.9438510Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:29:37.9438700Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:29:37.9438900Z   TEST_CONFIG: default
2025-09-07T07:29:37.9439080Z   SHARD_NUMBER: 1
2025-09-07T07:29:37.9439230Z   NUM_TEST_SHARDS: 3
2025-09-07T07:29:37.9439400Z   PR_BODY: 
2025-09-07T07:29:37.9439640Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:29:37.9439920Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:29:37.9440190Z   DEVICE_NAME: 
2025-09-07T07:29:37.9440350Z   DEVICE_TYPE: 
2025-09-07T07:29:37.9440490Z ##[endgroup]
2025-09-07T07:29:37.9451370Z ##[group]Run echo "Print the available disk space for manual inspection"
2025-09-07T07:29:37.9451830Z echo "Print the available disk space for manual inspection"
2025-09-07T07:29:37.9452100Z df -h
2025-09-07T07:29:37.9452280Z 
2025-09-07T07:29:37.9452420Z function check_disk_space() {
2025-09-07T07:29:37.9452630Z   set +e
2025-09-07T07:29:37.9452780Z 
2025-09-07T07:29:37.9452960Z   # Set the minimum requirement space to 6GB
2025-09-07T07:29:37.9453300Z   MINIMUM_AVAILABLE_SPACE_IN_KB=$(($MINIMUM_AVAILABLE_SPACE_IN_GB * 1024 * 1024))
2025-09-07T07:29:37.9453600Z 
2025-09-07T07:29:37.9453780Z   # Use KB to avoid floating point warning like 3.1GB
2025-09-07T07:29:37.9454080Z   df -k | tr -s ' ' | cut -d' ' -f 4,9 | while read -r LINE;
2025-09-07T07:29:37.9454320Z   do
2025-09-07T07:29:37.9454500Z     AVAIL=$(echo $LINE | cut -f1 -d' ')
2025-09-07T07:29:37.9454730Z     MOUNT=$(echo $LINE | cut -f2 -d' ')
2025-09-07T07:29:37.9454960Z 
2025-09-07T07:29:37.9455100Z     if [ "${MOUNT}" = "/" ]; then
2025-09-07T07:29:37.9455510Z       if [ "${AVAIL}" -lt "${MINIMUM_AVAILABLE_SPACE_IN_KB}" ]; then
2025-09-07T07:29:37.9456090Z         echo "Failure: There is only ${AVAIL}KB free space left in ${MOUNT}, which is less than the minimum requirement of ${MINIMUM_AVAILABLE_SPACE_IN_KB}KB for ${RUNNER_OS}"
2025-09-07T07:29:37.9456540Z       else
2025-09-07T07:29:37.9456830Z         echo "Success: There is ${AVAIL}KB free space left in ${MOUNT} for ${RUNNER_OS}, continue"
2025-09-07T07:29:37.9457270Z       fi
2025-09-07T07:29:37.9457440Z     fi
2025-09-07T07:29:37.9457590Z   done
2025-09-07T07:29:37.9457740Z 
2025-09-07T07:29:37.9457870Z   set -e
2025-09-07T07:29:37.9458020Z }
2025-09-07T07:29:37.9458150Z 
2025-09-07T07:29:37.9458330Z RESULT=$(check_disk_space)
2025-09-07T07:29:37.9458550Z echo "${RESULT}"
2025-09-07T07:29:37.9458720Z 
2025-09-07T07:29:37.9458910Z if [[ "${RESULT}" == *Failure* && "${RUNNER_OS}" == "macOS" ]]; then
2025-09-07T07:29:37.9459450Z   # We can clean up /System/Library/Caches/com.apple.coresymbolicationd on MacOS to free up the space and this should free up enough space
2025-09-07T07:29:37.9459940Z   # https://github.com/pytorch/pytorch/issues/85440
2025-09-07T07:29:37.9460310Z   sudo rm "/System/Library/Caches/com.apple.coresymbolicationd/data" || true
2025-09-07T07:29:37.9460900Z   # Stop the daemon and launchctl will automatically start it again, thus accomplish a restart and free up the above file
2025-09-07T07:29:37.9461380Z   sudo launchctl stop com.apple.coresymbolicationd || true
2025-09-07T07:29:37.9461640Z 
2025-09-07T07:29:37.9461810Z   # Clean up crash reports on the runner
2025-09-07T07:29:37.9462140Z   sudo rm -rf "/System/Volumes/Data/Library/Logs/CrashReporter" || true
2025-09-07T07:29:37.9462420Z 
2025-09-07T07:29:37.9462870Z   # Also try to clean up torch.hub caching directory
2025-09-07T07:29:37.9463170Z   rm -rf "${HOME}/.cache/torch/hub" || true
2025-09-07T07:29:37.9463400Z 
2025-09-07T07:29:37.9463530Z   # Purge conda
2025-09-07T07:29:37.9463730Z   conda clean -p -t -y || true
2025-09-07T07:29:37.9463950Z   # and pip cache
2025-09-07T07:29:37.9464140Z   pip cache purge || true
2025-09-07T07:29:37.9464340Z 
2025-09-07T07:29:37.9464560Z   echo "Re-run disk space check for ${RUNNER_OS} after cleaning up"
2025-09-07T07:29:37.9464840Z   # Re-run the check
2025-09-07T07:29:37.9465060Z   RESULT=$(check_disk_space)
2025-09-07T07:29:37.9465270Z   echo "${RESULT}"
2025-09-07T07:29:37.9465450Z fi
2025-09-07T07:29:37.9465590Z 
2025-09-07T07:29:37.9465770Z if [[ "${RESULT}" == *Failure* ]]; then
2025-09-07T07:29:37.9465970Z   df -h
2025-09-07T07:29:37.9466120Z 
2025-09-07T07:29:37.9466570Z   echo "Please help create an issue to PyTorch Release Engineering via https://github.com/pytorch/test-infra/issues and provide the link to the workflow run."
2025-09-07T07:29:37.9467050Z   exit 1
2025-09-07T07:29:37.9467210Z fi
2025-09-07T07:29:37.9483870Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T07:29:37.9484110Z env:
2025-09-07T07:29:37.9484250Z   GIT_DEFAULT_BRANCH: main
2025-09-07T07:29:37.9484440Z   BUILD_ENVIRONMENT: macos-py3-arm64
2025-09-07T07:29:37.9484630Z   TEST_CONFIG: default
2025-09-07T07:29:37.9484790Z   SHARD_NUMBER: 1
2025-09-07T07:29:37.9484930Z   NUM_TEST_SHARDS: 3
2025-09-07T07:29:37.9485070Z   PR_BODY: 
2025-09-07T07:29:37.9485220Z   REINSTALL_BREW_MINICONDA: 1
2025-09-07T07:29:37.9485480Z   VENV_PATH: /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:29:37.9485770Z   DEVICE_NAME: 
2025-09-07T07:29:37.9485930Z   DEVICE_TYPE: 
2025-09-07T07:29:37.9486110Z   MINIMUM_AVAILABLE_SPACE_IN_GB: 6
2025-09-07T07:29:37.9486310Z ##[endgroup]
2025-09-07T07:29:37.9696320Z Print the available disk space for manual inspection
2025-09-07T07:29:37.9709980Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-09-07T07:29:37.9710380Z /dev/disk5s2s1   256Gi   9.5Gi   177Gi     6%    404k  1.9G    0%   /
2025-09-07T07:29:37.9710760Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-09-07T07:29:37.9711260Z /dev/disk5s5     256Gi   2.0Gi   177Gi     2%       2  1.9G    0%   /System/Volumes/VM
2025-09-07T07:29:37.9711830Z /dev/disk5s3     256Gi   5.7Gi   177Gi     4%    1.0k  1.9G    0%   /System/Volumes/Preboot
2025-09-07T07:29:37.9712430Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-09-07T07:29:37.9712910Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-09-07T07:29:37.9713390Z /dev/disk1s3     500Mi   852Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-09-07T07:29:37.9713800Z /dev/disk5s1     256Gi    60Gi   177Gi    26%    2.5M  1.9G    0%   /System/Volumes/Data
2025-09-07T07:29:37.9714200Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-09-07T07:29:37.9714630Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-QQILuO
2025-09-07T07:29:38.0110040Z Success: There is 186066656KB free space left in / for macOS, continue
2025-09-07T07:29:38.0165260Z Post job cleanup.
2025-09-07T07:29:38.0539160Z Removing virtual environment at /Users/ec2-user/runner/_work/_temp/venv-3.12-1757225941
2025-09-07T07:29:41.0991140Z Post job cleanup.
2025-09-07T07:29:41.1033450Z Post job cleanup.
2025-09-07T07:29:41.1856300Z [command]/usr/bin/git version
2025-09-07T07:29:41.1924950Z git version 2.39.3 (Apple Git-146)
2025-09-07T07:29:41.1944290Z Copying '/Users/ec2-user/.gitconfig' to '/Users/ec2-user/runner/_work/_temp/7933ad2e-68bc-46ac-9aaf-d3ea876370a3/.gitconfig'
2025-09-07T07:29:41.1950820Z Temporarily overriding HOME='/Users/ec2-user/runner/_work/_temp/7933ad2e-68bc-46ac-9aaf-d3ea876370a3' before making global git config changes
2025-09-07T07:29:41.1951430Z Adding repository directory to the temporary git global config as a safe directory
2025-09-07T07:29:41.1953490Z [command]/usr/bin/git config --global --add safe.directory /Users/ec2-user/runner/_work/pytorch/pytorch
2025-09-07T07:29:41.2021320Z [command]/usr/bin/git config --local --name-only --get-regexp core\.sshCommand
2025-09-07T07:29:41.2082490Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'core\.sshCommand' && git config --local --unset-all 'core.sshCommand' || :"
2025-09-07T07:29:41.2885740Z Entering 'android/libs/fbjni'
2025-09-07T07:29:41.2998100Z Entering 'third_party/FP16'
2025-09-07T07:29:41.3105690Z Entering 'third_party/FXdiv'
2025-09-07T07:29:41.3209660Z Entering 'third_party/NNPACK'
2025-09-07T07:29:41.3321360Z Entering 'third_party/NVTX'
2025-09-07T07:29:41.3420420Z Entering 'third_party/VulkanMemoryAllocator'
2025-09-07T07:29:41.3519890Z Entering 'third_party/XNNPACK'
2025-09-07T07:29:41.3791390Z Entering 'third_party/aiter'
2025-09-07T07:29:41.3891570Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-09-07T07:29:41.3996560Z Entering 'third_party/benchmark'
2025-09-07T07:29:41.4112730Z Entering 'third_party/composable_kernel'
2025-09-07T07:29:41.4213700Z Entering 'third_party/cpp-httplib'
2025-09-07T07:29:41.4315310Z Entering 'third_party/cpuinfo'
2025-09-07T07:29:41.4444330Z Entering 'third_party/cudnn_frontend'
2025-09-07T07:29:41.4544290Z Entering 'third_party/cutlass'
2025-09-07T07:29:41.4648350Z Entering 'third_party/fbgemm'
2025-09-07T07:29:41.4854570Z Entering 'third_party/fbgemm/external/asmjit'
2025-09-07T07:29:41.5025870Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-09-07T07:29:41.5222660Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-09-07T07:29:41.5390910Z Entering 'third_party/fbgemm/external/cutlass'
2025-09-07T07:29:41.5613270Z Entering 'third_party/fbgemm/external/googletest'
2025-09-07T07:29:41.5749280Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-09-07T07:29:41.5879160Z Entering 'third_party/fbgemm/external/json'
2025-09-07T07:29:41.6009400Z Entering 'third_party/flash-attention'
2025-09-07T07:29:41.6109270Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-09-07T07:29:41.6210020Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-09-07T07:29:41.6311870Z Entering 'third_party/flatbuffers'
2025-09-07T07:29:41.6415420Z Entering 'third_party/fmt'
2025-09-07T07:29:41.6522730Z Entering 'third_party/gemmlowp/gemmlowp'
2025-09-07T07:29:41.6630440Z Entering 'third_party/gloo'
2025-09-07T07:29:41.6745390Z Entering 'third_party/googletest'
2025-09-07T07:29:41.6859680Z Entering 'third_party/ideep'
2025-09-07T07:29:41.6988960Z Entering 'third_party/ideep/mkl-dnn'
2025-09-07T07:29:41.7170340Z Entering 'third_party/ittapi'
2025-09-07T07:29:41.7273720Z Entering 'third_party/kineto'
2025-09-07T07:29:41.7372770Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-09-07T07:29:41.7471710Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-09-07T07:29:41.7573220Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-09-07T07:29:41.7673100Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-09-07T07:29:41.7774470Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-09-07T07:29:41.7872510Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-09-07T07:29:41.7975610Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-09-07T07:29:41.8075260Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-09-07T07:29:41.8175360Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-09-07T07:29:41.8274960Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-09-07T07:29:41.8375880Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-09-07T07:29:41.8478810Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-09-07T07:29:41.8581710Z Entering 'third_party/kleidiai'
2025-09-07T07:29:41.8686410Z Entering 'third_party/mimalloc'
2025-09-07T07:29:41.8787560Z Entering 'third_party/nlohmann'
2025-09-07T07:29:41.8892650Z Entering 'third_party/onnx'
2025-09-07T07:29:41.9176830Z Entering 'third_party/onnx/third_party/pybind11'
2025-09-07T07:29:41.9309030Z Entering 'third_party/opentelemetry-cpp'
2025-09-07T07:29:41.9411110Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-09-07T07:29:41.9512440Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-09-07T07:29:41.9613630Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-09-07T07:29:41.9713640Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-09-07T07:29:41.9815600Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-09-07T07:29:41.9917270Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-09-07T07:29:42.0019290Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-09-07T07:29:42.0117700Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-09-07T07:29:42.0218690Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-09-07T07:29:42.0321330Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-09-07T07:29:42.0431490Z Entering 'third_party/pocketfft'
2025-09-07T07:29:42.0533310Z Entering 'third_party/protobuf'
2025-09-07T07:29:42.0691510Z Entering 'third_party/protobuf/third_party/benchmark'
2025-09-07T07:29:42.0827590Z Entering 'third_party/protobuf/third_party/googletest'
2025-09-07T07:29:42.0966640Z Entering 'third_party/psimd'
2025-09-07T07:29:42.1074350Z Entering 'third_party/pthreadpool'
2025-09-07T07:29:42.1181430Z Entering 'third_party/pybind11'
2025-09-07T07:29:42.1301740Z Entering 'third_party/python-peachpy'
2025-09-07T07:29:42.1409940Z Entering 'third_party/sleef'
2025-09-07T07:29:42.1528230Z Entering 'third_party/tensorpipe'
2025-09-07T07:29:42.1667010Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-09-07T07:29:42.1804910Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-09-07T07:29:42.1951230Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-09-07T07:29:42.2110530Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-09-07T07:29:42.2254480Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-09-07T07:29:42.2383710Z [command]/usr/bin/git config --local --name-only --get-regexp http\.https\:\/\/github\.com\/\.extraheader
2025-09-07T07:29:42.2441430Z http.https://github.com/.extraheader
2025-09-07T07:29:42.2448210Z [command]/usr/bin/git config --local --unset-all http.https://github.com/.extraheader
2025-09-07T07:29:42.2515780Z [command]/usr/bin/git submodule foreach --recursive sh -c "git config --local --name-only --get-regexp 'http\.https\:\/\/github\.com\/\.extraheader' && git config --local --unset-all 'http.https://github.com/.extraheader' || :"
2025-09-07T07:29:42.3017110Z Entering 'android/libs/fbjni'
2025-09-07T07:29:42.3089280Z http.https://github.com/.extraheader
2025-09-07T07:29:42.3156480Z Entering 'third_party/FP16'
2025-09-07T07:29:42.3223870Z http.https://github.com/.extraheader
2025-09-07T07:29:42.3290590Z Entering 'third_party/FXdiv'
2025-09-07T07:29:42.3357460Z http.https://github.com/.extraheader
2025-09-07T07:29:42.3424250Z Entering 'third_party/NNPACK'
2025-09-07T07:29:42.3491740Z http.https://github.com/.extraheader
2025-09-07T07:29:42.3564730Z Entering 'third_party/NVTX'
2025-09-07T07:29:42.3632380Z http.https://github.com/.extraheader
2025-09-07T07:29:42.3699730Z Entering 'third_party/VulkanMemoryAllocator'
2025-09-07T07:29:42.3766920Z http.https://github.com/.extraheader
2025-09-07T07:29:42.3834270Z Entering 'third_party/XNNPACK'
2025-09-07T07:29:42.3901070Z http.https://github.com/.extraheader
2025-09-07T07:29:42.3972940Z Entering 'third_party/aiter'
2025-09-07T07:29:42.4041850Z http.https://github.com/.extraheader
2025-09-07T07:29:42.4107910Z Entering 'third_party/aiter/3rdparty/composable_kernel'
2025-09-07T07:29:42.4174200Z http.https://github.com/.extraheader
2025-09-07T07:29:42.4245730Z Entering 'third_party/benchmark'
2025-09-07T07:29:42.4314080Z http.https://github.com/.extraheader
2025-09-07T07:29:42.4380470Z Entering 'third_party/composable_kernel'
2025-09-07T07:29:42.4447430Z http.https://github.com/.extraheader
2025-09-07T07:29:42.4516870Z Entering 'third_party/cpp-httplib'
2025-09-07T07:29:42.4585360Z http.https://github.com/.extraheader
2025-09-07T07:29:42.4651310Z Entering 'third_party/cpuinfo'
2025-09-07T07:29:42.4717900Z http.https://github.com/.extraheader
2025-09-07T07:29:42.4784740Z Entering 'third_party/cudnn_frontend'
2025-09-07T07:29:42.4851300Z http.https://github.com/.extraheader
2025-09-07T07:29:42.4918170Z Entering 'third_party/cutlass'
2025-09-07T07:29:42.4984860Z http.https://github.com/.extraheader
2025-09-07T07:29:42.5054360Z Entering 'third_party/fbgemm'
2025-09-07T07:29:42.5122770Z http.https://github.com/.extraheader
2025-09-07T07:29:42.5189380Z Entering 'third_party/fbgemm/external/asmjit'
2025-09-07T07:29:42.5256630Z http.https://github.com/.extraheader
2025-09-07T07:29:42.5329640Z Entering 'third_party/fbgemm/external/composable_kernel'
2025-09-07T07:29:42.5395450Z http.https://github.com/.extraheader
2025-09-07T07:29:42.5463620Z Entering 'third_party/fbgemm/external/cpuinfo'
2025-09-07T07:29:42.5530540Z http.https://github.com/.extraheader
2025-09-07T07:29:42.5596640Z Entering 'third_party/fbgemm/external/cutlass'
2025-09-07T07:29:42.5662700Z http.https://github.com/.extraheader
2025-09-07T07:29:42.5732050Z Entering 'third_party/fbgemm/external/googletest'
2025-09-07T07:29:42.5799680Z http.https://github.com/.extraheader
2025-09-07T07:29:42.5865900Z Entering 'third_party/fbgemm/external/hipify_torch'
2025-09-07T07:29:42.5932010Z http.https://github.com/.extraheader
2025-09-07T07:29:42.5998110Z Entering 'third_party/fbgemm/external/json'
2025-09-07T07:29:42.6064630Z http.https://github.com/.extraheader
2025-09-07T07:29:42.6133350Z Entering 'third_party/flash-attention'
2025-09-07T07:29:42.6201250Z http.https://github.com/.extraheader
2025-09-07T07:29:42.6267160Z Entering 'third_party/flash-attention/csrc/composable_kernel'
2025-09-07T07:29:42.6334590Z http.https://github.com/.extraheader
2025-09-07T07:29:42.6403830Z Entering 'third_party/flash-attention/csrc/cutlass'
2025-09-07T07:29:42.6471430Z http.https://github.com/.extraheader
2025-09-07T07:29:42.6542670Z Entering 'third_party/flatbuffers'
2025-09-07T07:29:42.6611770Z http.https://github.com/.extraheader
2025-09-07T07:29:42.6678780Z Entering 'third_party/fmt'
2025-09-07T07:29:42.6745620Z http.https://github.com/.extraheader
2025-09-07T07:29:42.6811700Z Entering 'third_party/gemmlowp/gemmlowp'
2025-09-07T07:29:42.6878440Z http.https://github.com/.extraheader
2025-09-07T07:29:42.6945650Z Entering 'third_party/gloo'
2025-09-07T07:29:42.7012100Z http.https://github.com/.extraheader
2025-09-07T07:29:42.7077920Z Entering 'third_party/googletest'
2025-09-07T07:29:42.7144360Z http.https://github.com/.extraheader
2025-09-07T07:29:42.7210440Z Entering 'third_party/ideep'
2025-09-07T07:29:42.7277330Z http.https://github.com/.extraheader
2025-09-07T07:29:42.7342110Z Entering 'third_party/ideep/mkl-dnn'
2025-09-07T07:29:42.7407880Z http.https://github.com/.extraheader
2025-09-07T07:29:42.7477580Z Entering 'third_party/ittapi'
2025-09-07T07:29:42.7544940Z http.https://github.com/.extraheader
2025-09-07T07:29:42.7612120Z Entering 'third_party/kineto'
2025-09-07T07:29:42.7678720Z http.https://github.com/.extraheader
2025-09-07T07:29:42.7743150Z Entering 'third_party/kineto/libkineto/third_party/dynolog'
2025-09-07T07:29:42.7809520Z http.https://github.com/.extraheader
2025-09-07T07:29:42.7875340Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/DCGM'
2025-09-07T07:29:42.7941690Z http.https://github.com/.extraheader
2025-09-07T07:29:42.8009360Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/cpr'
2025-09-07T07:29:42.8076230Z http.https://github.com/.extraheader
2025-09-07T07:29:42.8142750Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/fmt'
2025-09-07T07:29:42.8208810Z http.https://github.com/.extraheader
2025-09-07T07:29:42.8275630Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags'
2025-09-07T07:29:42.8341720Z http.https://github.com/.extraheader
2025-09-07T07:29:42.8407240Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/gflags/doc'
2025-09-07T07:29:42.8473600Z http.https://github.com/.extraheader
2025-09-07T07:29:42.8543250Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/glog'
2025-09-07T07:29:42.8609900Z http.https://github.com/.extraheader
2025-09-07T07:29:42.8677220Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/googletest'
2025-09-07T07:29:42.8743600Z http.https://github.com/.extraheader
2025-09-07T07:29:42.8810070Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/json'
2025-09-07T07:29:42.8878900Z http.https://github.com/.extraheader
2025-09-07T07:29:42.8946110Z Entering 'third_party/kineto/libkineto/third_party/dynolog/third_party/pfs'
2025-09-07T07:29:42.9012610Z http.https://github.com/.extraheader
2025-09-07T07:29:42.9082020Z Entering 'third_party/kineto/libkineto/third_party/fmt'
2025-09-07T07:29:42.9148380Z http.https://github.com/.extraheader
2025-09-07T07:29:42.9214280Z Entering 'third_party/kineto/libkineto/third_party/googletest'
2025-09-07T07:29:42.9280580Z http.https://github.com/.extraheader
2025-09-07T07:29:42.9348600Z Entering 'third_party/kleidiai'
2025-09-07T07:29:42.9416550Z http.https://github.com/.extraheader
2025-09-07T07:29:42.9483480Z Entering 'third_party/mimalloc'
2025-09-07T07:29:42.9551120Z http.https://github.com/.extraheader
2025-09-07T07:29:42.9617180Z Entering 'third_party/nlohmann'
2025-09-07T07:29:42.9683550Z http.https://github.com/.extraheader
2025-09-07T07:29:42.9750570Z Entering 'third_party/onnx'
2025-09-07T07:29:42.9817480Z http.https://github.com/.extraheader
2025-09-07T07:29:42.9888380Z Entering 'third_party/onnx/third_party/pybind11'
2025-09-07T07:29:42.9956760Z http.https://github.com/.extraheader
2025-09-07T07:29:43.0037460Z Entering 'third_party/opentelemetry-cpp'
2025-09-07T07:29:43.0101520Z http.https://github.com/.extraheader
2025-09-07T07:29:43.0167580Z Entering 'third_party/opentelemetry-cpp/third_party/benchmark'
2025-09-07T07:29:43.0233650Z http.https://github.com/.extraheader
2025-09-07T07:29:43.0300620Z Entering 'third_party/opentelemetry-cpp/third_party/googletest'
2025-09-07T07:29:43.0366640Z http.https://github.com/.extraheader
2025-09-07T07:29:43.0433250Z Entering 'third_party/opentelemetry-cpp/third_party/ms-gsl'
2025-09-07T07:29:43.0499770Z http.https://github.com/.extraheader
2025-09-07T07:29:43.0565850Z Entering 'third_party/opentelemetry-cpp/third_party/nlohmann-json'
2025-09-07T07:29:43.0631750Z http.https://github.com/.extraheader
2025-09-07T07:29:43.0698380Z Entering 'third_party/opentelemetry-cpp/third_party/opentelemetry-proto'
2025-09-07T07:29:43.0765330Z http.https://github.com/.extraheader
2025-09-07T07:29:43.0831850Z Entering 'third_party/opentelemetry-cpp/third_party/opentracing-cpp'
2025-09-07T07:29:43.0898170Z http.https://github.com/.extraheader
2025-09-07T07:29:43.0964620Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp'
2025-09-07T07:29:43.1030610Z http.https://github.com/.extraheader
2025-09-07T07:29:43.1096620Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/civetweb'
2025-09-07T07:29:43.1162120Z http.https://github.com/.extraheader
2025-09-07T07:29:43.1229390Z Entering 'third_party/opentelemetry-cpp/third_party/prometheus-cpp/3rdparty/googletest'
2025-09-07T07:29:43.1296700Z http.https://github.com/.extraheader
2025-09-07T07:29:43.1365940Z Entering 'third_party/opentelemetry-cpp/tools/vcpkg'
2025-09-07T07:29:43.1433550Z http.https://github.com/.extraheader
2025-09-07T07:29:43.1509560Z Entering 'third_party/pocketfft'
2025-09-07T07:29:43.1579830Z http.https://github.com/.extraheader
2025-09-07T07:29:43.1646880Z Entering 'third_party/protobuf'
2025-09-07T07:29:43.1713890Z http.https://github.com/.extraheader
2025-09-07T07:29:43.1780960Z Entering 'third_party/protobuf/third_party/benchmark'
2025-09-07T07:29:43.1847760Z http.https://github.com/.extraheader
2025-09-07T07:29:43.1927400Z Entering 'third_party/protobuf/third_party/googletest'
2025-09-07T07:29:43.1994190Z http.https://github.com/.extraheader
2025-09-07T07:29:43.2063160Z Entering 'third_party/psimd'
2025-09-07T07:29:43.2131360Z http.https://github.com/.extraheader
2025-09-07T07:29:43.2198010Z Entering 'third_party/pthreadpool'
2025-09-07T07:29:43.2265040Z http.https://github.com/.extraheader
2025-09-07T07:29:43.2331690Z Entering 'third_party/pybind11'
2025-09-07T07:29:43.2399220Z http.https://github.com/.extraheader
2025-09-07T07:29:43.2474370Z Entering 'third_party/python-peachpy'
2025-09-07T07:29:43.2541070Z http.https://github.com/.extraheader
2025-09-07T07:29:43.2607330Z Entering 'third_party/sleef'
2025-09-07T07:29:43.2673970Z http.https://github.com/.extraheader
2025-09-07T07:29:43.2740070Z Entering 'third_party/tensorpipe'
2025-09-07T07:29:43.2807410Z http.https://github.com/.extraheader
2025-09-07T07:29:43.2873920Z Entering 'third_party/tensorpipe/third_party/googletest'
2025-09-07T07:29:43.2941280Z http.https://github.com/.extraheader
2025-09-07T07:29:43.3008050Z Entering 'third_party/tensorpipe/third_party/libnop'
2025-09-07T07:29:43.3074830Z http.https://github.com/.extraheader
2025-09-07T07:29:43.3148370Z Entering 'third_party/tensorpipe/third_party/libuv'
2025-09-07T07:29:43.3214500Z http.https://github.com/.extraheader
2025-09-07T07:29:43.3293830Z Entering 'third_party/tensorpipe/third_party/pybind11'
2025-09-07T07:29:43.3360450Z http.https://github.com/.extraheader
2025-09-07T07:29:43.3425220Z Entering 'third_party/tensorpipe/third_party/pybind11/tools/clang'
2025-09-07T07:29:43.3491970Z http.https://github.com/.extraheader
2025-09-07T07:29:43.3629090Z A job completed hook has been configured by the self-hosted runner administrator
2025-09-07T07:29:43.3664390Z ##[group]Run '/opt/runner_scripts/post-job.sh'
2025-09-07T07:29:43.3676580Z shell: /bin/bash --noprofile --norc -e -o pipefail {0}
2025-09-07T07:29:43.3676820Z ##[endgroup]
2025-09-07T07:29:43.3952380Z + df -h
2025-09-07T07:29:43.3972740Z + ls -t /var/log/post_job
2025-09-07T07:29:43.3973340Z + awk 'NR>100'
2025-09-07T07:29:43.3974210Z + xargs rm -fv
2025-09-07T07:29:43.3974820Z + Checking if runner needs to be terminated...ok
2025-09-07T07:29:43.3975140Z + Outputting disk space
2025-09-07T07:29:43.3975460Z Filesystem        Size    Used   Avail Capacity iused ifree %iused  Mounted on
2025-09-07T07:29:43.3975870Z /dev/disk5s2s1   256Gi   9.5Gi   179Gi     6%    404k  1.9G    0%   /
2025-09-07T07:29:43.3976240Z devfs            217Ki   217Ki     0Bi   100%     752     0  100%   /dev
2025-09-07T07:29:43.3976650Z /dev/disk5s5     256Gi   2.0Gi   179Gi     2%       2  1.9G    0%   /System/Volumes/VM
2025-09-07T07:29:43.3977070Z /dev/disk5s3     256Gi   5.7Gi   179Gi     4%    1.0k  1.9G    0%   /System/Volumes/Preboot
2025-09-07T07:29:43.3977500Z /dev/disk1s2     500Mi   6.0Mi   387Mi     2%       1  4.0M    0%   /System/Volumes/xarts
2025-09-07T07:29:43.3977930Z /dev/disk1s1     500Mi    53Mi   387Mi    13%      61  4.0M    0%   /System/Volumes/iSCPreboot
2025-09-07T07:29:43.3978470Z /dev/disk1s3     500Mi   852Ki   387Mi     1%      51  4.0M    0%   /System/Volumes/Hardware
2025-09-07T07:29:43.3978900Z /dev/disk5s1     256Gi    59Gi   179Gi    25%    2.5M  1.9G    0%   /System/Volumes/Data
2025-09-07T07:29:43.3979330Z map auto_home      0Bi     0Bi     0Bi   100%       0     0     -   /System/Volumes/Data/home
2025-09-07T07:29:43.3979770Z /dev/disk3s4     228Gi   120Ki   210Gi     1%      18  2.2G    0%   /private/tmp/tmp-mount-QQILuO
2025-09-07T07:29:43.3980120Z + Cleaning up old logs (Keep the latest 100)
2025-09-07T07:29:43.8001950Z + Restoring SSH key to be the skeleton key
2025-09-07T07:29:43.8087150Z Cleaning up orphan processes